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    Reply to: When did mammoths go extinct?

    Department of Zoology, University of Cambridge, Cambridge, UKYucheng Wang, Bianca De Sanctis, Ruairidh Macleod, Daniel Money & Eske WillerslevLundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, DenmarkYucheng Wang, Ana Prohaska, Jialu Cao, Antonio Fernandez-Guerra, James Haile, Kurt H. Kjær, Thorfinn Sand Korneliussen, Nicolaj Krog Larsen, Ruairidh Macleod, Hugh McColl, Mikkel Winther Pedersen, Fernando Racimo, Alexandra Rouillard, Anthony H. Ruter, Lasse Vinner, David J. Meltzer & Eske WillerslevALPHA, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research (ITPCAS), Chinese Academy of Sciences (CAS), Beijing, ChinaYucheng WangKey Laboratory of Western China’s Environmental Systems (Ministry of Education), College of Earth and Environmental Science, Lanzhou University, Lanzhou, ChinaHaoran DongGénomique Métabolique, Genoscope, Institut François Jacob, CEA, CNRS, Univ Evry, Université Paris-Saclay, Evry, FranceAdriana Alberti, France Denoeud & Patrick WinckerInstitute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, CEA, CNRS, Gif-sur-Yvette, FranceAdriana AlbertiThe Arctic University Museum of Norway, UiT—The Arctic University of Norway, Tromsø, NorwayInger Greve Alsos, Eric Coissac, Galina Gusarova, Youri Lammers & Marie Kristine Føreid MerkelDepartment of Geography and Environment, University of Hawaii, Honolulu, HI, USADavid W. BeilmanDepartment of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, DenmarkAnders A. BjørkInstitute of Earth Sciences, St Petersburg State University, St Petersburg, RussiaAnna A. Cherezova & Grigory B. FedorovArctic and Antarctic Research Institute, St Petersburg, RussiaAnna A. Cherezova & Grigory B. FedorovUniversité Grenoble-Alpes, Université Savoie Mont Blanc, CNRS, LECA, Grenoble, FranceEric CoissacDepartment of Genetics, University of Cambridge, Cambridge, UKBianca De Sanctis & Richard DurbinCarlsberg Research Laboratory, Copenhagen V, DenmarkChristoph Dockter & Birgitte SkadhaugeSchool of Geography and Environmental Science, University of Southampton, Southampton, UKMary E. EdwardsAlaska Quaternary Center, University of Alaska Fairbanks, Fairbanks, AK, USAMary E. EdwardsSchool of Environment, Earth and Ecosystem Sciences, The Open University, Milton Keynes, UKNeil R. Edwards & Philip B. HoldenCenter for the Environmental Management of Military Lands, Colorado State University, Fort Collins, CO, USAJulie EsdaleDepartment of Earth and Atmospheric Sciences, University of Alberta, Edmonton, Alberta, CanadaDuane G. FroeseFaculty of Biology, St Petersburg State University, St Petersburg, RussiaGalina GusarovaDepartment of Glaciology and Climate, Geological Survey of Denmark and Greenland, Copenhagen K, DenmarkKristian K. KjeldsenDepartment of Earth Science, University of Bergen, Bergen, NorwayJan Mangerud & John Inge SvendsenBjerknes Centre for Climate Research, Bergen, NorwayJan Mangerud & John Inge SvendsenDepartment of Geology, Quaternary Sciences, Lund University, Lund, SwedenPer MöllerCenter for Macroecology, Evolution and Climate, Globe Institute, University of Copenhagen, Copenhagen Ø, DenmarkDavid Nogués-Bravo, Hannah Lois Owens & Carsten RahbekCentre d’Anthropobiologie et de Génomique de Toulouse, Faculté de Médecine Purpane, Université Paul Sabatier, Toulouse, FranceLudovic OrlandoCenter for Global Mountain Biodiversity, Globe Institute, University of Copenhagen, Copenhagen, DenmarkHannah Lois Owens & Carsten RahbekGates of the Arctic National Park and Preserve, US National Park Service, Fairbanks, AK, USAJeffrey T. RasicDepartment of Geosciences, UiT—The Arctic University of Norway, Tromsø, NorwayAlexandra RouillardZoological Institute, Russian academy of sciences, St Petersburg, RussiaAlexei TikhonovResource and Environmental Research Center, Chinese Academy of Fishery Sciences, Beijing, ChinaYingchun XingCollege of Plant Science, Jilin University, Changchun, Jilin, ChinaYubin ZhangDepartment of Anthropology, Southern Methodist University, Dallas, TX, USADavid J. MeltzerWellcome Trust Sanger Institute, Wellcome Genome Campus, Cambridge, UKEske WillerslevMARUM, University of Bremen, Bremen, GermanyEske WillerslevAll authors contributed to the conception of the presented ideas. Y.W. and H.D. analysed the data. Y.W., D.J.M., A.P. and E.W. wrote the paper with inputs from all authors. More

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    The pupal moulting fluid has evolved social functions in ants

    Rearing O. biroi pupae in social isolation and collecting pupal fluidIn O. biroi colonies, larvae and pupae develop in discrete and synchronized cohorts26. Ten days after the first larvae had entered pupation in a large stock colony, the entire colony was anaesthetized using a CO2 pad, and white pupae were separated using a paintbrush. Pupae were individually placed in 0.2 ml PCR tubes with open lid. These tubes were then placed inside 1.5 ml Eppendorf tubes with 5 µl sterile water at the bottom to provide 100% relative humidity. The outer tubes were closed and kept in a climate room at 25 °C. The inner tube in this design prevents the pupa from drowning in the water reservoir. The outer tubes were kept closed throughout the experiment, except for once a day when the tubes were opened to remove pupal social fluid. Pulled glass capillaries were prepared as described elsewhere29, and used to remove and/or collect secretion droplets. We were careful to leave no remains of the secretion behind on the pupae or the inside of the tubes. To ensure that all secretion had been removed, pupae were taken out of the tube after fluid collection and briefly placed on a tissue paper to absorb any excess liquid. The inner tubes were replaced if needed—for example, if fluid traces were visible on the old tube after collection. Each pupa was checked daily for secretion (absent or present), onset of melanization and eclosion, and whether the pupa was alive (responding to touch). Control groups of 30 pupae and 30 adult ants from the same stock colony and cohort as the isolated pupae were placed in Petri dishes with a plaster of Paris floor, and the same parameters as for the isolated pupae were scored daily. Experiments ended when all pupae had either eclosed or died. Newly eclosed (callow) workers moved freely inside the tube and showed no abnormalities when put in a colony. A pupa was declared dead if it did not shed its pupal skin and did not respond to touch three days after all pupae in the control group had eclosed.To calculate the average secretion volume per secreting pupa (Fig. 1d), the total volume collected daily from a group of isolated pupae (142–166 pupae) was divided by the number of pupae from which fluid had been collected that day. The total volume was determined by multiplying the height of the fluid’s meniscus in the capillary by πr², where r is the inner radius of the capillary (0.29 mm). While pupae were secreting, pupal whole-body wash samples were collected daily. The pupae were removed from colonies with adults and washed promptly with 1500 µl LC–MS grade water. Whole-body wash samples were lyophilized and reconstituted in 15 µl LC–MS grade water.Collecting additional ant species and honeybees, rearing pupae in social isolation, and collecting pupal fluidsColonies of the ants N. flavipes, T. sessile, P. pennsylvanica and Lasius neoniger were collected in NY state, USA (Central Park, Manhattan; Pelham Bay Park, Bronx; Prospect Park, Brooklyn; and Woodstock). Solenopsis invicta colonies were collected in Athens, GA, USA. M. mexicanus colonies were collected in Piñon Hills, CA, USA. Colonies comprised of queens, workers and brood were maintained in the laboratory in airtight acrylic boxes with plaster of Paris floors. Colonies were fed a diet of insects (flies, crickets and mealworms). White pupae were socially isolated, cocoons were removed in the case of P. pennsylvanica, and secretion droplets were collected from melanized pupae as described for O. biroi. A. mellifera pupae of unknown age were socially isolated from hive fragments (A&Z Apiaries, USA) and reared as described for O biroi, except that the rearing temperature was set to 32 °C. Relative humidity was set to either 100% to replicate conditions used for the different ant species, or to 75% as recommended in the literature30.Injecting dye and tracking pupal fluidInjection needles were prepared as in previous studies31. Injections were performed using an Eppendorf Femtojet with a Narishige micromanipulator. The Femtojet was set to Pi 1000 hPa and Pc 60 hPa. Needles were broken by gently touching the capillary tip to the side of a glass slide. To inject, melanized pupae were placed on ‘Sticky note’ tape (Post-it), with the abdomen tip forward and the ventral side upward. Pupae were injected with blue food colouring (McCormick) into the exuvium for 1–2 s by gently piercing the pupal case at the abdominal tip with the needle. During successful injections, no fluid was discharged from the pupa when the needle was removed, and the moulting fluid inside the exuvium was immediately stained. Pupae were washed in water three times to remove any excess dye. Following injections, 10 pupae were reared in social isolation to confirm the secretion of dyed droplets. For experiments, injected pupae were transferred to colonies with adult ants (Figs. 1f and  4c) or to colonies with adult ants and larvae (Figs. 3b and  4c) to track the distribution of the pupal social fluid.After spending 24 h with dye-injected pupae, adults were taken out of the colony, briefly immersed in 95% ethanol, and transferred to PBS. Digestive systems were dissected in cold PBS and mounted in DAKO mounting medium. Crop and stomach images (Fig. 1f, inset and Fig. 4c, inset) were acquired with a Revolve microscope (Echo). Larvae are translucent, and the presence of dye in the digestive system can be assayed without dissection. Whole-body images of larvae were acquired with a Leica Z16 APO microscope equipped with a Leica DFC450 camera and Leica Application Suite version 4.12.0 (Leica Microsystems). In the experiment on larval growth (Fig. 3c), larval length was measured from images using ImageJ32.Occluding pupaeTen pupae were placed on double-sided tape on a glass coverslip with the ventral side up. The area between the pupae was covered with laser-cut filter paper to prevent adults from sticking to the tape. The pupae were then placed in a 5 cm diameter Petri dish with a moist plaster of Paris floor. To block pupal secretion, the tip of the gaster was occluded with a drop of oil-paint (Uni Paint Markers PX-20), which has no discernible toxic effect7. Secreting pupae received a drop of the same paint on their head to control for putative differences resulting from the paint. Pupae were left in isolation for one day before adults were added to the assay chamber.Behavioural tracking of adult preference assayVideos were recorded using BFS-U3-50S5C-C: 5.0 MP, 35 FPS, Sony IMX264, Colour cameras (FLIR) and the Motif Video Recording System (Loopbio). To assess adult preference (Fig. 1g), physical contact of adults with pupae was manually annotated for the first 10 min after the first adult had encountered (physically contacted) a pupa.Protein profilingWe extracted 30 µl of pupal social fluid and whole-body wash samples with 75:25:0.2 acetonitrile: methanol: formic acid. Extracts were vortexed for 10 min, centrifuged at 16,000g and 4 °C for 10 min, dried in a SpeedVac, and stored at −80 °C until they were analysed by LC–MS/MS.Protein pellets were dissolved in 8 M urea, 50 mM ammonium bicarbonate, and 10 mM dithiothreitol, and disulfide bonds were reduced for 1 h at room temperature. Alkylation was performed by adding iodoacetamide to a final concentration of 20 mM and incubating for 1 h at room temperature in the dark. Samples were diluted using 50 mM ammonium bicarbonate until the concentration of urea had reached 3.5 M, and proteins were digested with endopeptidase LysC overnight at room temperature. Samples were further diluted to bring the urea concentration to 1.5 M before sequencing-grade modified trypsin was added. Digestion proceeded for 6 h at room temperature before being halted by acidification with TFA and samples were purified using in-house constructed C18 micropurification tips.LC–MS/MS analysis was performed using a Dionex3000 nanoflow HPLC and a Q-Exactive HF mass spectrometer (both Thermo Scientific). Solvent A was 0.1% formic acid in water and solvent B was 80% acetonitrile, 0.1% formic acid in water. Peptides were separated on a 90-minute linear gradient at 300 nl min−1 across a 75 µm × 100 mm fused-silica column packed with 3 µm Reprosil C18 material (Dr. Maisch). The mass spectrometer operated in positive ion Top20 DDA mode at resolution 60 k/30 k (MS1/MS2) and AGC targets were 3 × 106/2 × 105 (MS1/MS2).Raw files were searched through Proteome Discoverer v.1.4 (Thermo Scientific) and spectra were queried against the O. biroi proteome using MASCOT with a 1% FDR applied. Oxidation of M and acetylation of protein N termini were applied as a variable modification and carbamidomethylation of C was applied as a static modification. The average area of the three most abundant peptides for a matched protein33 was used to gauge protein amounts within and between samples.Functional annotation and gene ontology enrichmentTo supplement the current functional annotation of the O. biroi genome34, the full proteome for canonical transcripts was retrieved from UniProtKB (UniProt release 2020_04) in FASTA format. We then applied the EggNog-Mapper tool35,36 (http://eggnog-mapper.embl.de, emapper version 1.0.3-35-g63c274b, EggNogDB version 2) using standard parameters (m diamond -d none –tax_scope auto –go_evidence non-electronic –target_orthologs all –seed_ortholog_evalue 0.001 –seed_ortholog_score 60 –query-cover 20 –subject-cover 0) to produce an expanded annotation for all GO trees (Molecular Function, Biological Process, Cellular Components). The list of proteins identified in the pupal fluid was evaluated for functional enrichment in these GO terms, P-values were adjusted with an FDR cut-off of 0.05, and the network plots were visualized using the clusterProfiler package37.Metabolite profilingFor bulk polar metabolite profiling, we used 10 µl aliquots of pupal social fluid and whole-body wash (pooled samples). For the time-series metabolite profiling, 1 µl of pupal social fluid and whole-body wash was used. Samples were extracted in 180 µl cold LC–MS grade methanol containing 1 μM of uniformly labelled 15N- and 13C-amino acid internal standards (MSK-A2-1.2, Cambridge Isotope Laboratories) and consecutive addition of 390 µl LC–MS grade chloroform followed by 120 µl of LC–MS grade water.The samples were vortexed vigorously for 10 min followed by centrifugation (10 min at 16,000g and 4 °C). The upper polar metabolite-containing layer was collected, flash frozen and SpeedVac-dried. Dried extracts were stored at −80 °C until LC–MS analysis.LC–MS was conducted on a Q-Exactive benchtop Orbitrap mass spectrometer equipped with an Ion Max source and a HESI II probe, which was coupled to a Vanquish UPLC system (Thermo Fisher Scientific). External mass calibration was performed using the standard calibration mixture every three days.Dried polar samples were resuspended in 60 µl 50% acetonitrile, and 5 µl were injected into a ZIC-pHILIC 150 × 2.1 mm (5 µm particle size) column (EMD Millipore). Chromatographic separation was achieved using the following conditions: buffer A was 20 mM ammonium carbonate, 0.1% (v/v) ammonium hydroxide (adjusted to pH 9.3); buffer B was acetonitrile. The column oven and autosampler tray were held at 40 °C and 4 °C, respectively. The chromatographic gradient was run at a flow rate of 0.150 ml min−1 as follows: 0–22 min: linear gradient from 90% to 40% B; 22–24 min: held at 40% B; 24–24.1 min: returned to 90% B; 24.1 −30 min: held at 90% B. The mass spectrometer was operated in full-scan, polarity switching mode with the spray voltage set to 3.0 kV, the heated capillary held at 275 °C, and the HESI probe held at 250 °C. The sheath gas flow was set to 40 units, the auxiliary gas flow was set to 15 units. The MS data acquisition was performed in a range of 55–825 m/z, with the resolution set at 70,000, the AGC target at 10 × 106, and the maximum injection time at 80 ms. Relative quantification of metabolite abundances was performed using Skyline Daily v 20.1 (MacCoss Lab) with a 2 ppm mass tolerance and a pooled library of metabolite standards to confirm metabolite identity (via data-dependent acquisition). Metabolite levels were normalized by the mean signal of 8 heavy 13C,15N-labelled amino acid internal standards (technical normalization).The raw data were searched for a targeted list of ~230 polar metabolites and the corresponding peaks were integrated manually using Skyline Daily software. We were able to assign peaks to 107 compounds based on high mass accuracy ( More

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    Finding space for nature in cities: the considerable potential of redundant car parking

    Butt, N. et al. Opportunities for biodiversity conservation as cities adapt to climate change. Geo Geogr. Environ. 5, 52 (2018).
    Google Scholar 
    Norton, B. A. et al. Planning for cooler cities: A framework to prioritise green infrastructure to mitigate high temperatures in urban landscapes. Landsc. Urban Plan. 134, 127–138 (2015).Article 

    Google Scholar 
    Ossola, A. et al. Small vegetated patches greatly reduce urban surface temperature during a summer heatwave in Adelaide, Australia. Landsc. Urban Plan. 209, 104046 (2021).Article 

    Google Scholar 
    Grey, V., Livesley, S. J., Fletcher, T. D. & Szota, C. Tree pits to help mitigate runoff in dense urban areas. J. Hydrol. 565, 400–410 (2018).Article 

    Google Scholar 
    Szota, C. et al. Street tree stormwater control measures can reduce runoff but may not benefit established trees. Landsc. Urban Plan. 182, 144–155 (2019).Article 

    Google Scholar 
    Liu, L. & Jensen, M. B. Green infrastructure for sustainable urban water management: Practices of five forerunner cities. Cities 74, 126–133 (2018).Article 

    Google Scholar 
    Astell-Burt, T. & Feng, X. Association of urban green space with mental health and general health among adults in Australia. JAMA Netw. Open 2, 198209 (2019).Article 

    Google Scholar 
    Astell Burt, T. et al. More green, less lonely? A longitudinal cohort study. Int. J. Epidemiol. 51, 99–110 (2022).Article 

    Google Scholar 
    Astell-Burt, T., Navakatikyan, M. A. & Feng, X. Urban green space, tree canopy and 11-year risk of dementia in a cohort of 109,688 Australians. Env. Int. 145, 106102 (2020).Article 

    Google Scholar 
    Feng, X. & Astell-Burt, T. Residential green space quantity and quality and child well-being: a longitudinal study. Am. J. Prev. Med. 53, 616–624 (2017).Article 

    Google Scholar 
    Knobel, P. et al. Quality of urban green spaces influences residents’ use of these spaces, physical activity, and overweight/obesity. Environ. Pollut. 271, 116393 (2021).Article 
    CAS 

    Google Scholar 
    Haaland, C. & van den Bosch, C. K. Challenges and strategies for urban green-space planning in cities undergoing densification: A review. Urban For.Urban Green 14, 760–771 (2015).Article 

    Google Scholar 
    Russo, A. & Cirella, G. T. Modern compact cities: How much greenery do we need? Int. J. Environ. Res. Public Health 15, 2180 (2018).Article 

    Google Scholar 
    Garrard, G. E., Williams, N. S. G., Mata, L., Thomas, J. & Bekessy, S. A. Biodiversity sensitive urban design. Conserv. Lett. 11, 1–10 (2018).Article 

    Google Scholar 
    Eaton, T. T. Approach and case-study of green infrastructure screening analysis for urban stormwater control. J. Environ. Manage. 209, 495–504 (2018).Article 

    Google Scholar 
    Maes, M. J. A., Jones, K. E., Toledano, M. B. & Milligan, B. Mapping synergies and trade-offs between urban ecosystems and the sustainable development goals. Environ. Sci. Policy 93, 181–188 (2019).Article 

    Google Scholar 
    Astell-Burt, T., Feng, X., Mavoa, S., Badland, H. M. & Giles-Corti, B. Do low-income neighbourhoods have the least green space? A cross-sectional study of Australia’s most populous cities. BMC Public Health 14, 19–21 (2014).Article 

    Google Scholar 
    Coutts, A. M., Tapper, N. J., Beringer, J., Loughnan, M. & Demuzere, M. Watering our cities: The capacity for Water Sensitive Urban Design to support urban cooling and improve human thermal comfort in the Australian context. Prog. Phys. Geogr. 37, 2–28 (2013).Article 

    Google Scholar 
    Intergovernmental Panel on Climate Change. Climate Change 2022: Impacts, Adaptation and Vulnerability | Climate Change 2022: Impacts, Adaptation and Vulnerability. IPCC Sixth Assessment Report https://www.ipcc.ch/report/ar6/wg2/ (2022).Davies, C. & Lafortezza, R. Urban green infrastructure in Europe: Is greenspace planning and policy compliant? Land Use Policy 69, 93–101 (2017).Article 

    Google Scholar 
    Faivre, N., Fritz, M., Freitas, T., de Boissezon, B. & Vandewoestijne, S. Nature-based solutions in the EU: Innovating with nature to address social, economic and environmental challenges. Environ. Res. 159, 509–518 (2017).Article 
    CAS 

    Google Scholar 
    Meerow, S. & Newell, J. P. Spatial planning for multifunctional green infrastructure: Growing resilience in Detroit. Landsc. Urban Plan. 159, 62–75 (2017).Article 

    Google Scholar 
    City of Los Angeles. L.A.’s Green New Deal: Sustainability Plan 2019. https://plan.lamayor.org/ (2019).City of Paris. Urban forests soon on four emblematic sites. https://www.paris.fr/pages/des-forets-urbaines-bientot-sur-quatre-sites-emblematiques-6899/ (2019).Brisbane City Council. Brisbane’s urban forest. https://www.brisbane.qld.gov.au/clean-and-green/natural-environment-and-water/plants-trees-and-gardens/brisbanes-trees/brisbanes-urban-forest (2019).Cortinovis, C., Olsson, P., Boke-Olén, N. & Hedlund, K. Scaling up nature-based solutions for climate-change adaptation: Potential and benefits in three European cities. Urban For. Urban Green. 67, 127450 (2022).Furchtlehner, J., Lehner, D. & Lička, L. Sustainable streetscapes: design approaches and examples of Viennese practice. Sustainability 14, 961 (2022).Schmidt, S., Guerrero, P. & Albert, C. Advancing sustainable development goals with localised nature-based solutions: Opportunity spaces in the Lahn river landscape, Germany. J. Environ. Manage. 309, 114696 (2022).Article 

    Google Scholar 
    Gómez Martín, E., Giordano, R., Pagano, A., van der Keur, P. & Máñez Costa, M. Using a system thinking approach to assess the contribution of nature based solutions to sustainable development goals. Sci. Total Environ. 738, 139693 (2020).Article 

    Google Scholar 
    Bush, J. & Doyon, A. Building urban resilience with nature-based solutions: How can urban planning contribute? Cities 95, 102483 (2019).Article 

    Google Scholar 
    Brink, E. et al. Cascades of green: A review of ecosystem-based adaptation in urban areas. Glob. Environ. Chang. 36, 111–123 (2016).Article 

    Google Scholar 
    Oke, C. et al. Cities should respond to the biodiversity extinction crisis. npj Urban Sustain. 1, 9–12 (2021).Article 

    Google Scholar 
    Ives, C. D. et al. Cities are hotspots for threatened species. Glob. Ecol. Biogeogr. 25, 117–126 (2016).Article 

    Google Scholar 
    Spotswood, E. N. et al. Nature inequity and higher COVID-19 case rates in less-green neighbourhoods in the United States. Nat. Sustain. 4, 1092–1098 (2021).Article 

    Google Scholar 
    Moglia, M. et al. Accelerating a green recovery of cities: Lessons from a scoping review and a proposal for mission-oriented recovery towards post-pandemic urban resilience. Dev. Built Environ. 7, 100052 (2021).Article 

    Google Scholar 
    OECD. Focus on green recovery. https://www.oecd.org/coronavirus/en/themes/green-recovery (2021).European Commission. A European Green Deal. https://ec.europa.eu/info/strategy/priorities-2019-2024/european-green-deal_en (2021).UNEP. Smart, Sustainable and Resilient cities: the Power of Nature-based Solutions. https://www.unep.org/resources/report/smart-sustainable-and-resilient-cities-power-nature-based-solutions (2021).Croeser, T. et al. Diagnosing delivery capabilities on a large international nature-based solutions project. npj Urban Sustain. 1, 32 (2021).Article 

    Google Scholar 
    McPhillips, L. E. & Matsler, A. M. Temporal evolution of green stormwater infrastructure strategies in three us cities. Front. Built. Environ. 4, 1–14 (2018).Article 

    Google Scholar 
    Spahr, K. M., Bell, C. D., McCray, J. E. & Hogue, T. S. Greening up stormwater infrastructure: Measuring vegetation to establish context and promote cobenefits in a diverse set of US cities. Urban For. Urban Green 48, 126548 (2020).Article 

    Google Scholar 
    Hamel, P. & Tan, L. Blue–Green Infrastructure for Flood and Water Quality Management in Southeast Asia: Evidence and Knowledge Gaps. Environ. Manage. 69, 699–718 (2021)City of Melbourne. Elizabeth Street Integrated Water Cycle Management Plan. http://urbanwater.melbourne.vic.gov.au/industry/our-strategies/elizabeth-street-catchment-iwcm-plan/#:~:text =The Elizabeth Street Catchment Integrated,within the municipality of Melbourne. (2015).Phelan, K., Hurley, J. & Bush, J. Land-use planning’s role in urban forest strategies: recent local government approaches in Australia. Urban Policy Res 37, 215–226 (2019).Article 

    Google Scholar 
    Bradford, J. B. & D’Amato, A. W. Recognizing trade-offs in multi-objective land management. Front. Ecol. Environ. 10, 210–216 (2012).Article 

    Google Scholar 
    Kindler, J. Linking ecological and development objectives: Trade-offs and imperatives. Ecol. Appl. 8, 591–600 (1998).Article 

    Google Scholar 
    UN Habitat. Streets as Public Spaces and Drivers of Urban Prosperity. https://unhabitat.org/streets-as-public-spaces-and-drivers-of-urban-prosperity (2013).De Gruyter, C., Zahraee, S. M. & Young, W. Street space allocation and use in Melbourne’s activity centres: Working paper. https://apo.org.au/sites/default/files/resource-files/2021-09/apo-nid314604.pdf (2021).Shoup, D. C. The trouble with minimum parking requirements. Transp. Res. Part A Policy Pract. 33, 549–574 (1999).Article 

    Google Scholar 
    Barter, P. A. A parking policy typology for clearer thinking on parking reform. Int. J. Urb. Sci. 5934, 136–156 (2015).Taylor, E. J. Transport Strategy Refresh Background Paper: Parking. https://s3.ap-southeast-2.amazonaws.com/hdp.au.prod.app.com-participate.files/2615/2963/7455/Transport_Strategy_Refresh_-_Background_paper_-_Car_Parking.pdf (2018).Guo, Z. & Schloeter, L. Street standards as parking policy: rethinking the provision of residential street parking in American Suburbs. J. Plan. Educ. Res. 33, 456–470 (2013).Article 
    CAS 

    Google Scholar 
    Taylor, D. E. Free parking for free people: German road laws and rights as constraints on local car parking management. Transp. Policy 101, 23–33 (2021).Article 

    Google Scholar 
    Pierce, G., Willson, H. & Shoup, D. Optimizing the use of public garages: Pricing parking by demand. Transp. Policy 44, 89–95 (2015).Article 

    Google Scholar 
    Taylor, E. J. Parking policy: The politics and uneven use of residential parking space in Melbourne. Land Use Policy 91, 103706 (2020).Article 

    Google Scholar 
    Thigpen, C. G. & Volker, J. M. B. Repurposing the paving: The case of surplus residential parking in Davis, CA. Cities 70, 111–121 (2017).Article 

    Google Scholar 
    Volker, J. M. B. & Thigpen, C. G. Not enough parking, you say? A study of garage use and parking supply for single-family homes in Sacramento and implications for ADUs. J. Transp. Land Use 15, 183–206 (2022).Article 

    Google Scholar 
    Rosenblum, J., Hudson, A. W. & Ben-Joseph, E. Parking futures: An international review of trends and speculation. Land Use Policy 91, 104054 (2020).Article 

    Google Scholar 
    Gössling, S. Why cities need to take road space from cars – and how this could be done. J. Urban Des. 25, 443–448 (2020).Article 

    Google Scholar 
    Clements, R. Parking: an opportunity to deliver sustainable transport. in Handbook of Sustainable Transport 280–288 (Edward Elgar Publishing, 2020). https://doi.org/10.4337/9781789900477.00041.Barter, P. A. Off-street parking policy surprises in Asian cities. Cities 29, 23–31 (2012).Article 

    Google Scholar 
    Shao, C., Yang, H., Zhang, Y. & Ke, J. A simple reservation and allocation model of shared parking lots. Transp. Res. Part C Emerg. Technol. 71, 303–312 (2016).Article 

    Google Scholar 
    Pojani, D. et al. Setting the agenda for parking research in other cities. in Parking: An International Perspective 245–260 (Elsevier, 2019).Guo, Z. Home parking convenience, household car usage, and implications to residential parking policies. Transp. Policy 29, 97–106 (2013).Article 
    CAS 

    Google Scholar 
    Scheiner, J., Faust, N., Helmer, J., Straub, M. & Holz-Rau, C. What’s that garage for? Private parking and on-street parking in a high-density urban residential neighbourhood. J. Transp. Geogr. 85, 102714 (2020).Article 

    Google Scholar 
    Inci, E. Economics of Transportation A review of the economics of parking. Econ. Transp. 4, 50–63 (2015).Article 

    Google Scholar 
    Arnott, R. Spatial competition between parking garages and downtown parking policy. Transp. Policy 13, 458–469 (2006).Article 

    Google Scholar 
    Marsden, G. The evidence base for parking policies-a review. Transp. Policy 13, 447–457 (2006).Article 

    Google Scholar 
    Taylor, E. “Fight the towers! Or kiss your car park goodbye”: How often do residents assert car parking rights in Melbourne planning appeals? Plan. Theory Pract. 15, 328–348 (2014).Article 

    Google Scholar 
    Kimpton, A. et al. Contemporary parking policy, practice, and outcomes in three large Australian cities. Prog. Plann. 153, 100506 (2020).Article 

    Google Scholar 
    Taylor, E. J. Journey into an immense heart of car parking. Plan. Theory Pract. 20, 448–455 (2019).Article 

    Google Scholar 
    Van Ommeren, J. N., Wentink, D. & Rietveld, P. Empirical evidence on cruising for parking. Transp. Res. Part A Policy Pract. 46, 123–130 (2012).Article 

    Google Scholar 
    Croeser, T. et al. Patterns of tree removal and canopy change on public and private land in the City of Melbourne. Sustain. Cities Soc. 56, 102096 (2020).Article 

    Google Scholar 
    Hurley, J. et al. Urban vegetation cover change in Melbourne. https://cur.org.au/cms/wp-content/uploads/2019/07/urban-vegetation-cover-change.pdf (2019).Hartigan, M., Fitzsimons, J., Grenfell, M. & Kent, T. Developing a metropolitan-wide urban forest strategy for a large, expanding and densifying capital city: Lessons from Melbourne, Australia. Land 10, 809 (2021).Article 

    Google Scholar 
    Department of Environment Land Water and Planning. Port Phillip Bay Environmental Management Plan. https://www.marineandcoasts.vic.gov.au/coastal-programs/port-phillip-bay (2017).City of Melbourne. Urban Forest Strategy. https://www.melbourne.vic.gov.au/community/greening-the-city/urban-forest/Pages/urban-forest-strategy.aspx (2014).City of Melbourne. Total Watermark: City as a Catchment (2014 Update). (2014).City of Melbourne. Nature in the City Strategy. https://www.melbourne.vic.gov.au/community/greening-the-city/urban-nature/Pages/nature-in-the-city-strategy.aspx (2017).Li, F. & Guo, Z. Do parking standards matter? Evaluating the London parking reform with a matched-pair approach. Transp. Res. Part A Policy Pract 67, 352–365 (2014).Article 

    Google Scholar 
    Ríos Flores, R. A., Vicentini, V. L. & Acevedo-Daunas, R. M. Practical Guidebook: Parking and Travel Demand Management Policies in Latin America. https://publications.iadb.org/en/publication/17409/practical-guidebook-parking-and-travel-demand-management-policies-latin-america (2015).Mingardo, G., van Wee, B. & Rye, T. Urban parking policy in Europe: A conceptualization of past and possible future trends. Transp. Res. Part A Policy Pract. 74, 268–281 (2015).Article 

    Google Scholar 
    Barter, P. A. Parking requirements in some major Asian cities. Transp. Res. Rec. 2245, 79–86 (2011)Taylor, E. J. & van Bemmel-Misrachi, R. The elephant in the scheme: Planning for and around car parking in Melbourne, 1929–2016. Land use policy 60, 287–297 (2017).Article 

    Google Scholar 
    City of Melbourne. Transport Strategy 2030. https://www.melbourne.vic.gov.au/parking-and-transport/transport-planning-projects/Pages/transport-strategy.aspx (2020).City of Melbourne. Total Watermark. https://www.clearwatervic.com.au/user-data/resource-files/City-of-Melbourne-Total-Watermark-Strategy.pdf (2009).Roy, A. H. et al. Impediments and solutions to sustainable, watershed-scale urban stormwater management: Lessons from Australia and the United States. Environ. Manag. 42, 344–359 (2008).Article 

    Google Scholar 
    City of Melbourne. Annual Report 2020-2021. https://www.melbourne.vic.gov.au/SiteCollectionDocuments/annual-report-2020-21.pdf (2021).Sprei, F., Hult, Å., Hult, C. & Roth, A. Review of the effects of developments with low parking requirements. ECEEE Summer Study Proc. 2019-June, 1079–1086 (2019).
    Google Scholar 
    Langemeyer, J. et al. Creating urban green infrastructure where it is needed – A spatial ecosystem service-based decision analysis of green roofs in Barcelona. Sci. Total Environ. 707, 135487 (2019).Article 

    Google Scholar 
    Ossola, A. et al. Landscape and Urban Planning Small vegetated patches greatly reduce urban surface temperature during a summer heatwave in Adelaide, Australia. Landsc. Urban Plan. 209, 104046 (2021).Article 

    Google Scholar 
    Dhakal, K. P. & Chevalier, L. R. Managing urban stormwater for urban sustainability: Barriers and policy solutions for green infrastructure application. J. Environ. Manage. 203, 171–181 (2017).Article 

    Google Scholar 
    Siqueira, F. F. et al. Small landscape elements double connectivity in highly fragmented areas of the Brazilian Atlantic Forest. Front. Ecol. Evol. 9, 1–14 (2021).Article 

    Google Scholar 
    Mimet, A., Kerbiriou, C., Simon, L., Julien, J. F. & Raymond, R. Contribution of private gardens to habitat availability, connectivity and conservation of the common pipistrelle in Paris. Landsc. Urban Plan. 193, 103671 (2020).Article 

    Google Scholar 
    Braschler, B., Dolt, C. & Baur, B. The function of a set-aside railway bridge in connecting urban habitats for animals: A case study. Sustain 12, 1194 (2020).Article 

    Google Scholar 
    Kirk, H., Threlfall, C. G., Soanes, K. & Parris, K. Linking Nature in the City Part Two: Applying the Connectivity Index. https://nespurban.edu.au/wp-content/uploads/2021/02/Linking-nature-in-the-city-Part-2.pdf (2020).Ossola, A., Locke, D., Lin, B. & Minor, E. Yards increase forest connectivity in urban landscapes. Landsc. Ecol. 34, 2935–2948 (2019).Article 

    Google Scholar 
    Lindenmayer, D. Small patches make critical contributions to biodiversity conservation. Proc. Natl. Acad. Sci. USA 116, 717–719 (2019).Article 
    CAS 

    Google Scholar 
    Wintle, B. A. et al. Global synthesis of conservation studies reveals the importance of small habitat patches for biodiversity. Proc. Natl. Acad. Sci. USA 116, 909–914 (2019).Article 
    CAS 

    Google Scholar 
    Rolf, W., Peters, D., Lenz, R. & Pauleit, S. Farmland–an Elephant in the room of urban green infrastructure? Lessons learned from connectivity analysis in three German cities. Ecol. Indic. 94, 151–163 (2018).Article 

    Google Scholar 
    Marissa Matsler, A. Making ‘green’ fit in a ‘grey’ accounting system: The institutional knowledge system challenges of valuing urban nature as infrastructural assets. Environ. Sci. Policy 99, 160–168 (2019).Article 

    Google Scholar 
    Meerow, S. The politics of multifunctional green infrastructure planning in New York City. Cities 100, 102621 (2020).Article 

    Google Scholar 
    Wolf, K. L. & Robbins, A. S. T. Metro nature, environmental health, and economic value. Environ. Health Perspect. 123, 390–398 (2015).Article 

    Google Scholar 
    Bell, J. F., Wilson, J. S. & Liu, G. C. Neighborhood greenness and 2-year changes in body mass index of children and youth. Am. J. Prev. Med. 35, 547–553 (2008).Article 

    Google Scholar 
    Miller, S. M. & Montalto, F. A. Stakeholder perceptions of the ecosystem services provided by Green Infrastructure in New York City. Ecosyst. Serv. 37, 100928 (2019).Article 

    Google Scholar 
    Janhäll, S. Review on urban vegetation and particle air pollution – Deposition and dispersion. Atmos. Environ. 105, 130–137 (2015).Article 

    Google Scholar 
    Li, L., Uyttenhove, P. & Vaneetvelde, V. Planning green infrastructure to mitigate urban surface water flooding risk–A methodology to identify priority areas applied in the city of Ghent. Landsc. Urban Plan. 194, 103703 (2020).Article 

    Google Scholar 
    Haghighatafshar, S. et al. Efficiency of blue-green stormwater retrofits for flood mitigation–Conclusions drawn from a case study in Malmö, Sweden. J. Environ. Manage. 207, 60–69 (2018).Article 

    Google Scholar 
    Croeser, T., Garrard, G., Sharma, R., Ossola, A. & Bekessy, S. Choosing the right nature-based solutions to meet diverse urban challenges. Urban For. Urban Green 65, 127337 (2021).Article 

    Google Scholar 
    Hansen, R., Olafsson, A. S., van der Jagt, A. P. N., Rall, E. & Pauleit, S. Planning multifunctional green infrastructure for compact cities: What is the state of practice? Ecol. Indic. 96, 99–110 (2019).Article 

    Google Scholar 
    Roy Morgan. Return of Corporate Workforce. https://www.melbourne.vic.gov.au/SiteCollectionDocuments/roy-morgan-report-return-to-the-workplace.pdf (2020).Bloomberg CityLab. A Modest Proposal to Eliminate 11,000 Urban Parking Spots. https://www.bloomberg.com/news/articles/2019-03-29/amsterdam-s-plan-to-eliminate-11-000-parking-spots (2019).World Economic Forum. Paris halves street parking and asks residents what they want to do with the space. https://www.weforum.org/agenda/2020/12/paris-parking-spaces-greenery-cities/ (2020).Urry, J. The ‘System’ of automobility. Theory, Cult. Soc. 21, 25–39 (2004).Article 

    Google Scholar 
    Docherty, I., Marsden, G. & Anable, J. The governance of smart mobility. Transp. Res. Part A Policy Pract 115, 114–125 (2018).Article 

    Google Scholar 
    Burdett, R. & Rode, P. Shaping cities in an urban age. (Phaidon Press Inc, 2018).Egerer, M., Haase, D., Frantzeskaki, N. & Andersson, E. Urban change as an untapped opportunity for climate adaptation. npj Urban Sustain. https://doi.org/10.1038/s42949-021-00024-y (2021).Article 

    Google Scholar 
    New York City Department of Environmental Protection. NYC Green Infrastructure Annual Report. https://www1.nyc.gov/assets/dep/downloads/pdf/water/stormwater/green-infrastructure/gi-annual-report-2020.pdf (2020).Eggimann, S. The potential of implementing superblocks for multifunctional street use in cities. Nat. Sustain. (2022) https://doi.org/10.1038/s41893-022-00855-2.City of Melbourne. Open Data Platform. https://data.melbourne.vic.gov.au/ (2022).City of Melbourne. Off-street car parks with capacity and type. https://data.melbourne.vic.gov.au/Transport/Off-street-car-parks-with-capacity-and-type/krh5-hhjn (2020).Ding, C. & Cao, X. How does the built environment at residential and work locations a ff ect car ownership? An application of cross-classi fi ed multilevel model. J. Transp. Geogr. 75, 37–45 (2019).Article 

    Google Scholar 
    Scheiner, J., Faust, N., Helmer, J., Straub, M. & Holz-rau, C. What’ s that garage for? Private parking and on-street parking in a high- density urban residential neighbourhood. J. Transp. Geogr. 85, 102714 (2020).Article 

    Google Scholar 
    Arnold, J. E., Graesch, A. P., Ochs, E. & Ragazzini, E. Life at Home in the Twenty-First Century in Life at home in the twenty-first century: 32 families open their doors. (ISD LLC, 2012).Beck, M. J., Hensher, D. A. & Wei, E. Slowly coming out of COVID-19 restrictions in Australia: Implications for working from home and commuting trips by car and public transport. J. Transp. Geogr. 88, 102846 (2020).Article 

    Google Scholar 
    Hensher, D. A., Ho, C. Q. & Reck, D. J. Mobility as a service and private car use: Evidence from the Sydney MaaS trial. Transp. Res. Part A Policy Pract 145, 17–33 (2021).Article 

    Google Scholar 
    ESRI. ArcGIS Network Analyst Extension. https://www.esri.com/en-us/arcgis/products/arcgis-network-analyst/overview (2022).Daniels, R. & Mulley, C. Explaining walking distance to public transport: The dominance of public transport supply. J. Transp. Land Use 6, 5–20 (2013).Article 

    Google Scholar 
    Sanders, J., Grabosky, J. & Cowie, P. Establishing maximum size expectations for urban trees with regard to designed space. Arboric. Urban For. 39, 68–73 (2013).
    Google Scholar 
    Grey, V., Livesley, S. J., Fletcher, T. D. & Szota, C. Establishing street trees in stormwater control measures can double tree growth when extended waterlogging is avoided. Landsc. Urban Plan. 178, 122–129 (2018).Article 

    Google Scholar 
    Kirk, H. et al. Linking nature in the city: A framework for improving ecological connectivity across the City of Melbourne. https://nespurban.edu.au/wp-content/uploads/2019/03/Kirk_Ramalho_et_al_Linking_nature_in_the_city_03Jul18_lowres.pdf (2018).Jaeger, J. A. G. Landscape division, splitting index, and effective mesh size: New measures of landscape fragmentation. Landsc. Ecol 15, 115–130 (2000).Article 

    Google Scholar 
    Spanowicz, A. G. & Jaeger, J. A. G. Measuring landscape connectivity: On the importance of within-patch connectivity. Landsc. Ecol. 34, 2261–2278 (2019).Article 

    Google Scholar 
    Casalegno, S., Anderson, K., Cox, D. T. C., Hancock, S. & Gaston, K. J. Ecological connectivity in the three-dimensional urban green volume using waveform airborne lidar. Sci. Rep. 7, 1–8 (2017).Article 

    Google Scholar 
    Garrard, G. E., McCarthy, M. A., Vesk, P. A., Radford, J. Q. & Bennett, A. F. A predictive model of avian natal dispersal distance provides prior information for investigating response to landscape change. J. Anim. Ecol 81, 14–23 (2012).Article 

    Google Scholar 
    Duncan, D. Pollination of Black-anther flax lily (Dianella revoluta) in fragmented New South Wales Mallee: A report to the Australian Flora Foundation. 12, http://aff.org.au/wpcontent/uploads/Duncan_Dianella_final.pdf (2003).Pebesma, E. Simple features for R: Standardized support for spatial vector. Data. R J. 10, 439–446 (2018).
    Google Scholar 
    Imteaz, M. A., Ahsan, A., Rahman, A. & Mekanik, F. Modelling stormwater treatment systems using MUSIC: Accuracy. Resour. Conserv. Recycl. 71, 15–21 (2013).Article 

    Google Scholar 
    Melbourne Water. Raingardens. https://www.melbournewater.com.au/building-and-works/stormwater-management/options-treating-stormwater/raingardens#:~:text=Designing a raingarden,2%25 of the catchment area. (2017). More

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    Long-term, basin-scale salinity impacts from desalination in the Arabian/Persian Gulf

    Al-Mutawa, A. M., Al Murbati, W. M., Al Ruwaili, N. A., Al Orafi, A. S., Al Orafi, A., Al Arafati, A., Nasrullah, A., Al Bahow, M. R., Al Anzi, S. M., Rashisi, M. & Al Moosa, S. Z. Desalination in the gcc. the history, the present & the future. Available from: https://www.gcc-sg.org/en-us/CognitiveSources/DigitalLibrary/Lists/DigitalLibrary/WaterandElectricity/1414489603.pdf Second edition, The Cooperation Council for the Arab States of the Gulf (GCC) General Secretariat (2014).Global Water Intelligence. DesalData. https://www.desaldata.com/. Accessed 2022-05-01 (2022).Sharifinia, M., Afshari Bahmanbeigloo, Z., Smith Jr, W. O., Yap, C. K. & Keshavarzifard, M. Prevention is better than cure: Persian gulf biodiversity vulnerability to the impacts of desalination plants. Glob. Change Biol. 25(12), 4022–4033 (2019).Article 

    Google Scholar 
    Connor, R. The United Nations World Water Development Report 2015: Water for a Sustainable World. Number 79. UNESCO, (2015).Al-Senafy, M., Al-Fahad, K. & Hadi, K. Water management strategies in the Arabian gulf countries. In Developments in Water Science, volume 50, pages 221–224. Elsevier, (2003).Ulrichsen, K.C.. Internal and external security in the arab gulf states. Middle East Policy16(2), 39 (2009).Verner, D. Adaptation to a changing climate in the Arab countries: a case for adaptation governance and leadership in building climate resilience. Number 79. World Bank Publications, (2012).Einav, R., Harussi, K. & Perry, D. The footprint of the desalination processes on the environment. Desalination 152(1–3), 141–154 (2003).Article 

    Google Scholar 
    Dawoud, M. A. Environmental impacts of seawater desalination: Arabian Gulf case study. Int. J. Environ. Sustain.1(3) (2012).Chow, A. C. et al. Numerical prediction of background buildup of salinity due to desalination brine discharges into the Northern Arabian Gulf. Water 11(11), 2284 (2019).Article 

    Google Scholar 
    Lee, K. & Jepson, W. Environmental impact of desalination: A systematic review of life cycle assessment. Desalination 509, 115066 (2021).Article 

    Google Scholar 
    Hosseini, H. et al. Marine health of the Arabian gulf: Drivers of pollution and assessment approaches focusing on desalination activities. Mar. Pollut. Bull. 164, 112085 (2021).Article 
    PubMed 

    Google Scholar 
    Le Quesne, W. J. F. et al. Is the development of desalination compatible with sustainable development of the Arabian Gulf?. Mar. Pollut. Bull. 173, 112940 (2021).Article 
    PubMed 

    Google Scholar 
    Kress, N., & Galil, B. Impact of seawater desalination by reverse osmosis on the marine environment. Efficient Desalination by Reverse Osmosis: A guide to RO practice. IWA, London, UK, pp. 177–202 (2015).Reynolds, R. M. Physical oceanography of the Gulf, Strait of Hormuz, and the Gulf of Oman: Results from the Mt Mitchell expedition. Mar. Pollut. Bull. 27, 35–59 (1993).Article 

    Google Scholar 
    Swift, S. A. & Bower, A. S. Formation and circulation of dense water in the Persian/Arabian Gulf. J. Geophys. Res. Oceans 108(C1), 1–4 (2003).Article 

    Google Scholar 
    Pous, S. P., Carton, X., & Lazure, P. Hydrology and circulation in the strait of hormuz and the Gulf of Oman: Results from the gogp99 experiment: 1. strait of hormuz. J. Geophys. Res. Oceans109(C12), (2004).Pous, S., Lazure, P. & Carton, X. A model of the general circulation in the persian gulf and in the strait of hormuz: Intraseasonal to interannual variability. Cont. Shelf Res. 94, 55–70 (2015).Article 

    Google Scholar 
    Johns, W. E., Yao, F., Olson, D. B., Josey, S. A., Grist, J. P. & Smeed, D. A. Observations of seasonal exchange through the Straits of Hormuz and the inferred heat and freshwater budgets of the Persian Gulf. J. Geophys. Res. Oceans108(C12) (2003).Hassanzadeh, S., Hosseinibalam, F. & Rezaei-Latifi, A. Numerical modelling of salinity variations due to wind and thermohaline forcing in the Persian gulf. Appl. Math. Model. 35(3), 1512–1537 (2011).Article 
    MathSciNet 
    MATH 

    Google Scholar 
    Price, A. R. G. Western Arabian gulf echinoderms in high salinity waters and the occurrence of dwarfism. J. Nat. Hist. 16(4), 519–527 (1982).Article 

    Google Scholar 
    Sheppard, C. R. C. Similar trends, different causes: Responses of corals to stressed environments in Arabian seas. In Proceedings of the 6th International Coral Reef Symposium Townsville, Australia, volume 3, pp. 297–302 (1988).Coles, S. L. & Jokiel, P. L. Effects of salinity on coral reefs. In Connell, D. W., & Hawker, D. W. editors, Pollution in tropical aquatic systems, pp. 147–166. CRC Press, Florida (1992).Coles, S. L. Coral species diversity and environmental factors in the Arabian gulf and the Gulf of Oman: A comparison to the Indo-Pacific region. Atoll Res. Bull. (2003).D’Agostino, D. et al. Growth impacts in a changing ocean: Insights from two coral reef fishes in an extreme environment. Coral Reefs 40(2), 433–446 (2021).Article 

    Google Scholar 
    Bœuf, G. & Payan, P. How should salinity influence fish growth?. Compar. Biochem. Physiol. Part C Toxicol. Pharmacol. 130(4), 411–423 (2001).Article 

    Google Scholar 
    Baudron, A. R., Needle, C. L., Rijnsdorp, A. D. & Marshall, C. T. Warming temperatures and smaller body sizes: Synchronous changes in growth of north sea fishes. Glob. Change Biol. 20(4), 1023–1031 (2014).Article 

    Google Scholar 
    Dore, M. H. I. Forecasting the economic costs of desalination technology. Desalination 172(3), 207–214 (2005).Article 

    Google Scholar 
    Karagiannis, I. C. & Soldatos, P. G. Water desalination cost literature: Review and assessment. Desalination 223(1–3), 448–456 (2008).Article 

    Google Scholar 
    Al Barwani, H. H. & Purnama, A. Evaluating the effect of producing desalinated seawater on hypersaline Arabian Gulf. Eur. J. Sci. Res. 22(2), 279–285 (2008).
    Google Scholar 
    Lee, W. & Kaihatu, J. M. Effects of desalination on hydrodynamic process in Persian Gulf. Coast. Eng. Proc. 36, 3–3 (2018).Article 

    Google Scholar 
    Ibrahim, H. D. & Eltahir, E. A. B. Impact of brine discharge from seawater desalination plants on Persian/Arabian gulf salinity. J. Environ. Eng. 145(12), 04019084 (2019).Article 

    Google Scholar 
    Campos, E. J. D. et al. Impacts of brine disposal from water desalination plants on the physical environment in the Persian/Arabian Gulf. Environ. Res. Commun. 2(12), 125003 (2020).Article 

    Google Scholar 
    Ibrahim, H. D., Xue, P. & Eltahir, E. A. B. Multiple salinity equilibria and resilience of Persian/Arabian Gulf basin salinity to brine discharge. Front. Mar. Sci. 7, 573 (2020).Article 

    Google Scholar 
    Ibrahim, H. D. Simulated effects of seawater desalination on Persian/Arabian Gulf exchange flow. J. Environ. Eng. 148(4), 04022012 (2022).Article 

    Google Scholar 
    Purnama, A. Assessing the environmental impacts of seawater desalination on the hypersalinity of arabian/persian gulf. In The Arabian Seas: Biodiversity, Environmental Challenges and Conservation Measures, pp. 1229–1245. Springer, (2021).GEBCO Compilation Group. The GEBCO_2021 grid: A continuous terrain model of the global oceans and land, (2021).Stommel, H. Thermohaline convection with two stable regimes of flow. Tellus 13(2), 224–230 (1961).Article 

    Google Scholar 
    Nakamura, M., Stone, P. H. & Marotzke, J. Destabilization of the thermohaline circulation by atmospheric eddy transports. J. Clim. 7(12), 1870–1882 (1994).Article 

    Google Scholar 
    Pasquero, C. & Tziperman, E. Effects of a wind-driven gyre on thermohaline circulation variability. J. Phys. Oceanogr. 34(4), 805–816 (2004).Article 

    Google Scholar 
    Lucarini, V. & Stone, P. H. Thermohaline circulation stability: A box model study. part ii: coupled atmosphere-ocean model. J. Clim. 18(4), 514–529 (2005).Article 

    Google Scholar 
    Wunsch, C. Thermohaline loops, stommel box models, and the sandström theorem. Tellus A Dyn. Meteorol. Oceanogr. 57(1), 84–99 (2005).
    Google Scholar 
    Privett, D. W. Monthly charts of evaporation from the N. Indian Ocean (including the Red Sea and the Persian Gulf). Q. J. R. Meteorol. Soc. 85(366), 424–428 (1959).Article 

    Google Scholar 
    Chao, S.-Y., Kao, T. W. & Al-Hajri, K. R. A numerical investigation of circulation in the Arabian Gulf. J. Geophys. Res. Oceans 97(C7), 11219–11236 (1992).Article 

    Google Scholar 
    Hersbach, H. et al. The ERA5 global reanalysis. Q. J. R. Meteorol. Soc. 146(730), 1999–2049 (2020).Article 

    Google Scholar 
    Thoppil, P. G. & Hogan, P. J. Persian Gulf response to a wintertime shamal wind event. Deep Sea Res. Part I 57(8), 946–955 (2010).Article 

    Google Scholar 
    Paparella, F., Chenhao, X., Vaughan, G. O. & Burt, J. A. Coral bleaching in the Persian/Arabian Gulf is modulated by summer winds. Front. Mar. Sci. 6, 205 (2019).Article 

    Google Scholar 
    Gutiérrez, J.M., Jones, R. G., Narisma, G.T., Alves, L.M., Amjad, M., Gorodetskaya, I.V., Grose, M., Klutse, N.A.B., Krakovska, S., Li, J., Martínez-Castro, D., Mearns, L.O., Mernild, S.H., Ngo-Duc, T., van den Hurk, B. & Yoon, J.-H. Atlas. In V. Masson-Delmotte, P. Zhai, A. Pirani, S.L. Connors, C. Péan, S. Berger, N. Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou, editors, Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, (2021). Available from http://interactive-atlas.ipcc.ch/.Alosairi, Y., Imberger, J., & Falconer, R. A. Mixing and flushing in the Persian Gulf (Arabian Gulf). J. Geophys. Res. Oceans116(C3) (2011).Whitehead, J. A. Internal hydraulic control in rotating fluids – applications to oceans. Geophys. Astrophys. Fluid Dyn. 48(1–3), 169–192 (1989).Article 
    MATH 

    Google Scholar 
    Dougherty, W. W., Yates, D. N., Pereira, J. E., Monaghan, A., Steinhoff, D., Ferrero, B., Wainer, I., Flores-Lopez, F., Galaitsi, S., & Kucera, P., et al. The energy–water–health nexus under climate change in the united arab emirates: Impacts and implications. In Climate Change and Energy Dynamics in the Middle East, pp. 131–180. Springer, (2019).Al-Shehhi, M. R., Song, H., Scott, J. & Marshall, J. Water mass transformation and overturning circulation in the Arabian gulf. J. Phys. Oceanogr. 51(11), 3513–3527 (2021).
    Google Scholar 
    Hausfather, Z. & Peters, G. P. Emissions-the “business as usual’’ story is misleading. Nature 577, 618–620 (2020).Article 
    PubMed 

    Google Scholar 
    Al-Ghouti, M. A., Al-Kaabi, M. A., Ashfaq, M. Y. & Da’na, D. A. Produced water characteristics, treatment and reuse: A review. J. Water Process Eng. 28, 222–239 (2019).Article 

    Google Scholar 
    Riegl, B. M. & Purkis, S. J. Coral reefs of the gulf: adaptation to climatic extremes in the world’s hottest sea. In Coral reefs of the Gulf, pp. 1–4. Springer, (2012).Burt, J. A. et al. Insights from extreme coral reefs in a changing world. Coral Reefs 39(3), 495–507 (2020).Article 

    Google Scholar 
    D’Agostino, D. et al. The influence of thermal extremes on coral reef fish behaviour in the Arabian/Persian gulf. Coral Reefs 39(3), 733–744 (2020).Article 

    Google Scholar 
    Lachkar, Z., Mehari, M., Lévy, M., Paparella, F., & Burt, J.A. Recent expansion and intensification of hypoxia in the Arabian gulf and its drivers. Front. Mar. Sci. 1616 (2022).De Verneil, A., Burt, J. A., Mitchell, M., & Paparella, F. Summer oxygen dynamics on a southern Arabian Gulf coral reef. Front. Mar. Sci. 1676 (2021).Petersen, K. L. et al. Impact of brine and antiscalants on reef-building corals in the gulf of aqaba-potential effects from desalination plants. Water Res. 144, 183–191 (2018).Article 
    PubMed 

    Google Scholar 
    Sanchez-Lizaso, J. L. et al. Salinity tolerance of the mediterranean seagrass posidonia oceanica: recommendations to minimize the impact of brine discharges from desalination plants. Desalination 221(1–3), 602–607 (2008).Article 

    Google Scholar 
    Cambridge, M. L., Zavala-Perez, A., Cawthray, G. R., Mondon, J. & Kendrick, G. A. Effects of high salinity from desalination brine on growth, photosynthesis, water relations and osmolyte concentrations of seagrass posidonia australis. Mar. Pollut. Bull. 115(1–2), 252–260 (2017).Article 
    PubMed 

    Google Scholar 
    Cambridge, M. L. et al. Effects of desalination brine and seawater with the same elevated salinity on growth, physiology and seedling development of the seagrass posidonia australis. Mar. Pollut. Bull. 140, 462–471 (2019).Article 
    PubMed 

    Google Scholar 
    Kelaher, B. P., Clark, G. F., Johnston, E. L. & Coleman, M. A. Effect of desalination discharge on the abundance and diversity of reef fishes. Environ. Sci. Technol. 54(2), 735–744 (2019).Article 
    PubMed 

    Google Scholar 
    Gegner, H. M. et al. High salinity conveys thermotolerance in the coral model aiptasia. Biol. Open 6(12), 1943–1948 (2017).PubMed 
    PubMed Central 

    Google Scholar 
    Ochsenkühn, M. A., Röthig, T., D’Angelo, C., Wiedenmann, J. & Voolstra, C. R. The role of floridoside in osmoadaptation of coral-associated algal endosymbionts to high-salinity conditions. Sci. Adv. 3(8), e1602047 (2017).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gegner, H. M. et al. High levels of floridoside at high salinity link osmoadaptation with bleaching susceptibility in the cnidarian-algal endosymbiosis. Biol. Open 8(12), bio045591 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Thoppil, P. G. & Hogan, P. J. A modeling study of circulation and eddies in the Persian Gulf. J. Phys. Oceanogr. 40(9), 2122–2134 (2010).Article 

    Google Scholar 
    Pous, S., Carton, X. & Lazure, P. A process study of the tidal circulation in the Persian gulf. Open J. Mar. Sci. 2(04), 131–140 (2012).Article 

    Google Scholar 
    Haney, R. L. Surface thermal boundary condition for ocean circulation models. J. Phys. Oceanogr. 1(4), 241–248 (1971).Article 

    Google Scholar  More

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    The impact of natural fibers’ characteristics on mechanical properties of the cement composites

    The structure and microstructure of the fibresThe surfaces of the natural fibres are presented from Figs. 6, 7, 8, 9, 10 and of the synthetic fibres are presented in Figs. 11 and 12.Figure 6SEM of jute fibre [Fot.M.Kurpińska].Full size imageFigure 7SEM of bamboo fibre [Fot.M.Kurpińska].Full size imageFigure 8SEM of sisal fibre [Fot.M.Kurpińska].Full size imageFigure 9SEM of cotton fibre [Fot.M.Kurpińska].Full size imageFigure 10SEM of ramie fibre [Fot.M.Kurpińska].Full size imageFigure 11SEM of polymer fibre [Fot.M.Kurpińska].Full size imageFigure 12SEM of polypropylene (PP) fibre [Fot.M.Kurpińska].Full size imageThe basic components of natural fibres influencing their properties are cellulose, hemicellulose, lignin, waxes, oils, and pectin. Cellulose is mainly composed of three elements such as carbon, hydrogen, and oxygen, and it is the material basis that forms the cell wall natural fibre. Typically, cellulose remains in the form of micro-fibrils within the cell wall of a plant. Cellulose is the main factor affecting the tensile strength along natural fibre and the cellulose content is closely related to the plant’s age and content decreases with the increasing age of the plant6.Hemicellulose is an amorphous substance offering a low degree of polymerization and it exists between fibres. Hemicellulose is a complex polysaccharide with xylan as the predominant chain, and the branches mainly include 4-O-methyl-D-glucuronic acid, L-arabinose, and D-xylose. Lignin is a kind of polymer with complex structures and of many types. The basic units of lignin include: guaiacyl, syringyl monomers, and p-hydroxyphenyl monomers. The structural units in lignin are mainly connected by ether bonds and carbon–carbon single bonds. Usually, lignin is not evenly distributed in the plant fibre wall9.In addition to three main components, lignin often contains various sugars, fats, protein substances, and a small amount of ash elements. These chemical compositions affect not only the properties of natural fibres, but also the possibility of a specific application of fibre. The composition of individual natural fibres and their properties are presented in Table 1. Figure 6a–c shows longitudinal and cross-sectional views of the untreated jute fibre. Externally, the fibre is smooth and shiny. The presence of hemicellulose influences the high hygroscopicity of jute fibres. The structure of the jute fibre shows that the fibre swells when it absorbs water. Possible swelling of the fibre in the cross-section by approx. 30%. The microscope scans of indicate the succinylated regions. This is due to the chemical bonding of the succinic anhydride molecule with the hydroxyl group of the cellulose present in the fibre. The encircled region in the top side shows an unsuccinylated region with naturally waxy impurities16.Figure 7a shows the scanning electron micrograph (SEM) of the bamboo fibre. According to the SEM analysis, the microstructure of bamboo is anisotropic. At the Fig. 7b–c it can be recognized that the orientation of cellulose fibrils was placed almost along the fibre axis which may affect to maximize the modulus of elasticity. Factors affect the mechanical properties of bamboo fibres are the chemical composition and structure of bamboo fibres, moisture content, age of bamboo, etc. In addition, the age of the plant affects the chemical composition and structure of fibre. These factors and the natural humidity influence their change of mechanical properties. The hemicellulose content directly influences the tensile strength. This parameter increases with the decrease in the hemicellulose content in the bamboo fibre18.The cell structure of bamboo fibres is complex, and the middle layer of the cell wall has a multi-layer structure. The lignification of the thin and thick layers in the multilayer structure varies. The multi-layered cell wall structure leads to better fracture resistance and promotes internal sliding between the cell wall layers during tension. The angle of the microfiber alignment is also an important factor influencing the mechanical properties of the fibre. Typically, the tensile strength and modulus of elasticity of a fibre increase as the angle between the interposition of the microfibers decreases. Hence, the smaller microfibril angle is an important factor that contributes to the good mechanical properties of bamboo fibre. Large voids between bamboo fibre molecules can be seen, which impact good hygroscopicity19. The moisture content is an important factor affecting the mechanical properties of bamboo fibres. Figure 8a–c shows the morphology of the sisal fibre. The surface of the sisal fibre has higher roughness, and it increases the bonding area between the fibre and cement paste. This leads to increase the mechanical properties of the composites38.Figure 9a–c shows images of the cotton fibres. At the microscope image, a cotton fibre looks like a twisted ribbon or a collapsed and twisted tube. These twists are called convolutions: there are about 60 convolutions per centimetre. The weaves give the cotton an uneven surface of the fibres, which increases the friction between the fibres, but at the same time they can prevent fibres from evenly dispersing in the cement matrix. The outer layer, the cuticle is a thin film of mostly fats and waxes. Figure 9b shows the waxy layer surface with some smooth grooves. The waxy layer forms a thin sheet over the primary wall that forms grooves on the cotton surface19. The cotton fibre surface comprises non-cellulosic materials and amorphous cellulose in which the fibrils are arranged in a criss-cross pattern. Owing to the non-structured orientation of cellulose and non-cellulosic materials, the wall surface is unorganized and open. This gives flexibility to the fibre. The basic ingredients, responsible for the complicated interconnections in the primary wall, are cellulose, hemicelluloses, pectin, proteins, and ions. In the core of fibre, only the crystalline cellulose is present, what is highly ordered and has a compact structure with the cellulose fibrils lying parallel to one another18.SEM micrograph of the surface and cross section of the ramie fibre are shown at Fig. 10a–c. The surface of the ramie fibres is dense but porous. There are many micropores and continuous bubbles in the porous structure of a single bundle of a ramie fibre Fig. 10c. This structure has some effect for low absorption of water, moreover, it is also related to the fibre distribution in the cement composites. In case of the short ramie fibre, due to its random distribution in composites, the strength of the composite may be affected. Cellulose, lignin, and hemicellulose weight materials can form a dense layer on the surface of the ramie fibres, so the water absorptivity is low. This special structure of the fibre with a dense matrix, and at the same time, with a characteristic pore arrangement has an influence on the adhesion of the cement matrix and the strength of the cement composite18.The surface and cross section of multifilament macrofibre is demonstrated at Fig. 11a–c. From the chemical point of view, this type of fibres belongs to the polymers from the group of polyolefins, composed of units of the formula: –[CH2CH (CH3)]–. They are obtained by low-pressure polymerization of propylene. They are made of 100% pure co-polymer twisted bundles of multifilament fibres Fig. 11c. Polypropylene is one of two most commonly used plastics, in addition to polyethylene. Polypropylene is a hydrocarbon thermoplastic polymer2.Figure 12a–c shows the structure of a bundle of polypropylene (PP) fibres in the form of a 3D mesh. They are made of isotactic polypropylene, called propylene, CH2=CHCH3 obtained from crude oil. They are one of the finest polypropylene fibres. The surface of the fibres is smooth Fig. 12b 2.The consistency—fluidityThe results of fluidity are shown at Fig. 13. The fluidity of the composite not modified with fibres is 145 mm and is a reference to other test results. The use of bamboo fibres increased the composite fluidity and composite flow by 8.6% (157.5 mm). The use of polymer fibers and jute increased the consistency by about 7%, while the use of sisal fibres by 3%. The use of PP fibres (122.5 mm) had the greatest impact on the loss of consistency by 15.5%. The use of cotton and frame fibres resulted in a reduction of workability and consistency by 13.8% and 3.5%, respectively.Figure 13Results of fluidity test.Full size imageBased on the research results, it was found that in the case of using bamboo fibres characterizing a high absorption of 120–145%, the consistency of composite increased by 8.2% compared to the consistency of composite without fibres. In the case of a change in consistency, the chemical composition of natural fibres, their surface, and the total length in the volume of composite are significant, too. There is a noticeable regularity related to the cellulose content in natural fibres. If the higher cellulose content, it reduces the consistency of the composite. For example, the cellulose content in bamboo fibres is the lowest and amounts to 40–45%, while the cellulose content in cotton fibres is the highest, ranging from 80 to 94%. It can also be recognized that consistency and workability will be influenced by the hemicellulose content.The higher the hemicellulose content, it impacts the higher consistency of the composite. It is similar referring to the content of lignin. It was noticed that the higher the lignin content, the higher the composite consistency was found. Regarding the total length of the fibres, a regularity is apparent that the greater the total length of fibres, e.g., in the case of cotton fibres, the greater decrease in consistency is visible. In the case of polymer and polypropylene (PP) fibres, the consistency is influenced by the surface of the fibre, the number of fibres, and their total length in the volume of the composite. Increasing the total length of PP fibres by approx. 15% resulted in a reduction of the consistency of approx. 20%.Flexural and compressive strengthAssigning mechanical properties of fibre reinforced composite, particular emphasis was placed on the determination of the flexural strength of the composite. This parameter was appointed by the 3-point test. Figure 14. shows the flexural strength of plain composite and 7 groups of different fibre reinforced composites on the 2nd, 7th, 28th, and 56th days.Figure 14Flexural strength test results.Full size imageIt can be seen that the bending strength of composites with the addition of natural fibres, ramie, bamboo, jute, and sisal are similar. The bending strength of composites with PP and polymer fibres is lower. It should be noted that the strength of the cotton fibre-reinforced composite is much lower than that of all the others tested. The reason may be the low tensile strength of the cotton fibres used. When mixing the composites, a tendency to create conglomerates of cotton fibres was also noticed, which may affect the strength of the composites.The test results clearly show that the effectiveness of the added natural fibres depends on the chemical composition and mechanical properties, and above all, on their adhesion to the cement matrix. The adhesion of the natural fibre to the cement matrix has a significant influence on the mechanical properties of the cement composite, in particular on compression and bending strength. The highest bending strength was achieved by cement composites modified with ramie fibres. Ramie fibres are characterized by the highest tensile strength among the tested synthetic and natural fibres, ranging from 400 to 1000 MPa. The results of the compressive strength are shown in Fig. 15.Figure 15Compressive strength test results.Full size imageThe analysis of the test results shows that the use of dispersed fibres reduced the early compressive strength after 2 days from 8.5 to 33%. The exception is the ramie fibres, the use of which increased the early strength by 6.6%. Within 28 days, as in the case of early strength, the use of all types of synthetic and natural fibres resulted in a decrease in strength from 4.6 to 26.5%. The exception is the use of ramie fibres, which increased the compressive strength by 7.2% after 28 days. After 56 days, a decrease in strength was noticed in the case of using PP and polymer synthetic fibres as well as natural cotton and bamboo from 5.5 to 11.9%.On the other hand, the increase in compressive strength after 56 days from 5.8 to 16.4% was visible in the case of using fibres such as sisal, jute and ramie. The highest compressive strength was achieved by the composite with a ramie fibre. The fibre of the ramie is characterized by the highest modulus of elasticity ranging from 24.5 to 128 GPa and is over 100% higher than the Young’s modulus of the other fibres.Shrinkage testFigure 16A shows that the samples after demolding showed expansion for about 2 days, and from the third day after demolding, the length of the samples was shortened. The lowest degree of expansion in the first days was shown by samples without fibres and samples containing cotton fibres. In this case, the expansion did not exceed 0.02 mm/m. However, the same samples finally showed the highest shrinkage after 180 days, which was 0.06 mm/m.Figure 16Testing the change in length of samples.Full size imageThe highest expansion within 48 h after deformation was shown by samples containing sisal fibres, while these samples finally after 180 days showed the lowest deformation of the length of the samples, which was 0.001 mm/m. The samples containing the synthetic fibres showed an expansion of about 0.02–0.03 mm/m in 48 h and the final shrinkage after 180 days was 0.03 mm/m for both the polymer and PP fibre samples. The bamboo and ramie fibres initially showed an expansion of 0.04–0.06 mm/m while their final shrinkage was 0.02 mm/m. The samples with jute fibres showed an expansion of 0.04 mm/m and the final shrinkage of the samples was 0.04 mm/m. Figure 16a,b shows the results of testing the change in length of samples over time.After 180 days, the total deformation of the samples was determined. Samples containing sisal fibers showed a slight expansion of about 0.001 mm/m, while the highest deformation (shrinkage) was shown for composite samples without fibers and with cotton fibres, which was 0.06 mm/m. Samples with bamboo, jute, PP, polymer and ramie fibres showed a shrinkage from 0.02 to 0.04 mm/m. Only the samples containing the sisal fibre showed a slight expansion of 0.001 mm/m.Ultimately, the samples containing sisal fibres were characterized by the lowest deformability. This phenomenon is related to the fibre structure and the total length of the fibres in a sample with dimensions of 40 × 40 × 160mm. For example, in a sample containing sisal fibres, their total length is 5856.7 m. Otherwise, a sample containing jute fibres, their total length in the sample is only 7.4 m. Therefore it was found that the fibre structure, its diameter, the cellulose content and the total length of the fibres in the element are important factors of deformation as a result of shrinkage or expansion of the fibre reinforced composite.Water absorption of composite testHigher water absorption (8.5%) compared to the composite without fibres was noticed in the case of using both synthetic fibres and with the exception of the use of ramie fibres, which caused a slight reduction in water absorption to 8.2%. It can be recognized that the water absorption rate of the 8 groups of samples is slightly different, the highest is the polymer fibre-reinforced composite (9.2%); the lowest water absorption rate refers to ramie fibre-reinforced composite (8.2%). The difference in water absorption rates is presented at Fig. 17.Figure 17Water absorption of composite (%).Full size imageExcept for cotton fibre-reinforced composite, the water absorption rate of another plant fibre-reinforced composite is lower than that of synthetic fibre-reinforced composite. Probably because of the fact that ramie, sisal, and jute fibres all have good moisture absorption and release properties. It is commonly known that plant fibre-reinforced cement-based materials have reduced strength and initial properties due to their performance degradation in a humid environment, so their long-term durability could become problematic. Sisal fibres (with noticed absorption of 95–100%) have absorbed more cement slurry on their surface than jute fibres (absorption of fibre 7–12%). This phenomenon could be explained by the fact that the slurry became the impregnation of the fibre. The absorbability of the composite was tested after the composite had completely hardened. Probably a fibre that is characterized by high absorption—sisal is very well “embedded” in the matrix, therefore the bending strength results for composites with sisal fibre were higher by 8–10%. More

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    Habitat types and megabenthos composition from three sponge-dominated high-Arctic seamounts

    Pitcher, T. J. et al. Seamounts: Ecology, Fisheries & Conservation (Blackwell Publishing, 2007).Book 

    Google Scholar 
    Harris, P. T., Macmillan-Lawler, M., Rupp, J. & Baker, E. K. Geomorphology of the oceans. Mar. Geol. 352, 4–24 (2014).Article 

    Google Scholar 
    Wessel, P., Sandwell, D. T. & Kim, S.-S. The global seamount census. Oceanography 23, 24–33 (2010).Article 

    Google Scholar 
    Etnoyer, P. J. et al. BOX 12|How large is the seamount biome?. Oceanography 23, 206–209 (2010).Article 

    Google Scholar 
    De Forges, B. R., Koslow, J. A. & Pooro, G. C. B. Diversity and endemism of the benthic seamount fauna in the southwest Pacific. Nature 405, 944–947 (2000).Article 
    PubMed 

    Google Scholar 
    Rowden, A. A., Dower, J. F., Schlacher, T. A., Consalvey, M. & Clark, M. R. Paradigms in seamount ecology: Fact, fiction and future. Mar. Ecol. 31, 226–241 (2010).Article 

    Google Scholar 
    Pinheiro, H. T. et al. Fish biodiversity of the Vitória-Trindade seamount chain, southwestern Atlantic: An updated database. PLoS ONE 10, 1–17 (2015).Article 

    Google Scholar 
    Morato, T., Hoyle, S. D., Allain, V. & Nicol, S. J. Seamounts are hotspots of pelagic biodiversity in the open ocean. PNAS 107, 9711 (2010).Article 

    Google Scholar 
    Rowden, A. A. et al. A test of the seamount oasis hypothesis: Seamounts support higher epibenthic megafaunal biomass than adjacent slopes. Mar. Ecol. 31, 95–106 (2010).Article 

    Google Scholar 
    Busch, K. et al. On giant shoulders: How a seamount affects the microbial community composition of seawater and sponges. Biogeosciences 17, 3471–3486 (2020).Article 
    CAS 

    Google Scholar 
    Zhao, Y. et al. Virioplankton distribution in the tropical western Pacific Ocean in the vicinity of a seamount. Microbiol Open 9, e1031 (2020).Article 

    Google Scholar 
    Arístegui, J. et al. Plankton metabolic balance at two North Atlantic seamounts. Deep-Sea Res. II 56, 2646–2655 (2009).Article 

    Google Scholar 
    Dower, J. F. & Mackast, D. L. “Seamount effects” in the zooplankton community near Cobb Seamount. Deep-Sea Res. I 43, 837–858 (1996).Article 

    Google Scholar 
    O’Hara, T. D., Rowden, A. A. & Bax, N. J. A Southern Hemisphere bathyal fauna is distributed in latitudinal bands. Curr. Biol. 21, 226–230 (2011).Article 
    PubMed 

    Google Scholar 
    Williams, A., Althaus, F., Clark, M. R. & Gowlett-Holmes, K. Composition and distribution of deep-sea benthic invertebrate megafauna on the Lord Howe Rise and Norfolk Ridge, southwest Pacific Ocean. Deep-Sea Res. II 58, 948–958 (2011).Article 
    CAS 

    Google Scholar 
    Bridges, A. E. H., Barnes, D. K. A., Bell, J. B., Ross, R. E. & Howell, K. L. Benthic assemblage composition of South Atlantic seamounts. Front. Mar. Sci. 8, 660648 (2021).Article 

    Google Scholar 
    Lapointe, A. E., Watling, L., France, S. C. & Auster, P. J. Megabenthic assemblages in the lower bathyal (700–3000 m) on the New England and corner rise seamounts Northwest Atlantic. Deep-Sea Res. I 165, 103366 (2020).Article 

    Google Scholar 
    Clark, M. R. & Bowden, D. A. Seamount biodiversity: High variability both within and between seamounts in the Ross Sea region of Antarctica. Hydrobiologia 761, 161–180 (2015).Article 
    CAS 

    Google Scholar 
    McClain, C. R., Lundsten, L., Barry, J. & DeVogelaere, A. Assemblage structure, but not diversity or density, change with depth on a northeast Pacific seamount. Mar. Ecol. 31, 14–25 (2010).Article 

    Google Scholar 
    Long, D. J. & Baco, A. R. Rapid change with depth in megabenthic structure-forming communities of the Makapu’u deep-sea coral bed. Deep-Sea Res. II 99, 158–168 (2014).Article 

    Google Scholar 
    Thresher, R. et al. Strong septh-related zonation of megabenthos on a rocky continental margin (∼ 700–4000 m) off southern Tasmania Australia. PLoS ONE 9, e85872 (2014).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    O’Hara, T. D., Consalvey, M., Lavrado, H. P. & Stocks, K. I. Environmental predictors and turnover of biota along a seamount chain. Mar. Ecol. 31, 84–94 (2010).Article 

    Google Scholar 
    Boschen, R. E. et al. Megabenthic assemblage structure on three New Zealand seamounts: Implications for seafloor massive sulfide mining. Mar. Ecol. Prog. Ser. 523, 1–14 (2015).Article 

    Google Scholar 
    Caratori Tontini, F. et al. Crustal magnetization of brothers volcano, New Zealand, measured by autonomous underwater vehicles: Geophysical expression of a submarine hydrothermal system. Econ. Geol. 107, 1571–1581 (2012).Article 

    Google Scholar 
    Rex, M. A., Etter, R. J., Clain, A. J. & Hill, M. S. Bathymetric patterns of body size in deep-sea gastropods. Evolution (N Y) 53, 1298–1301 (1999).
    Google Scholar 
    O’Hara, T. D. Seamounts: Centres of endemism or species richness for ophiuroids?. Glob. Ecol. Biogeogr. 16, 720–732 (2007).Article 

    Google Scholar 
    Clark, M. R. et al. The ecology of seamounts: Structure, function, and human impacts. Ann. Rev. Mar. Sci. 2, 253–278 (2010).Article 
    PubMed 

    Google Scholar 
    Cowen, R. K. & Sponaugle, S. Larval dispersal and marine population connectivity. Ann. Rev. Mar. Sci. 1, 443–466 (2009).Article 
    PubMed 

    Google Scholar 
    Levin, L. A. & Thomas, C. L. The influence of hydrodynamic regime on infaunal assemblages inhabiting carbonate sediments on central Pacific seamounts. Deep Sea Res. A 36, 1897–1915 (1989).Article 

    Google Scholar 
    Puerta, P. et al. Variability of deep-sea megabenthic assemblages along the western pathway of the Mediterranean outflow water. Deep-Sea Res. I 185, 103791 (2022).Article 

    Google Scholar 
    Tapia-Guerra, J. M. et al. First description of deep benthic habitats and communities of oceanic islands and seamounts of the Nazca Desventuradas Marine Park Chile. Sci. Rep. 11, 6209 (2021).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Morgan, N. B., Goode, S., Roark, E. B. & Baco, A. R. Fine scale assemblage structure of benthic invertebrate megafauna on the North Pacific seamount Mokumanamana. Front. Mar. Sci. 6, 715 (2019).Article 

    Google Scholar 
    Perez, J. A. A., Kitazato, H., Sumida, P. Y. G., Sant’Ana, R. & Mastella, A. M. Benthopelagic megafauna assemblages of the Rio Grande Rise (SW Atlantic). Deep-Sea Res. I 134, 1–11 (2018).Article 

    Google Scholar 
    Poore, G. C. B. et al. Invertebrate diversity of the unexplored marine western margin of Australia: Taxonomy and implications for global biodiversity. Mar. Biodivers. 45, 271–286 (2015).Article 

    Google Scholar 
    Henry, L. A., Moreno Navas, J. & Roberts, J. M. Multi-scale interactions between local hydrography, seabed topography, and community assembly on cold-water coral reefs. Biogeosciences 10, 2737–2746 (2013).Article 

    Google Scholar 
    Meyer, K. S. et al. Rocky islands in a sea of mud: Biotic and abiotic factors structuring deep-sea dropstone communities. Mar. Ecol. Prog. Ser. 556, 45–57 (2016).Article 

    Google Scholar 
    Stratmann, T., Soetaert, K., Kersken, D. & van Oevelen, D. Polymetallic nodules are essential for food-web integrity of a prospective deep-seabed mining area in Pacific abyssal plains. Sci. Rep. 11, 12238 (2021).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Genin, A., Dayton, P. K., Lonsdale, P. F. & Spiess, F. N. Corals on seamount peaks provide evidence of current acceleration over deep-sea topography. Nature 322, 59–61 (1986).Article 

    Google Scholar 
    Roberts, J. M., Wheeler, A. J. & Freiwald, A. Reefs of the deep: The biology and geology of cold-water coral ecosystems. Science 1979(312), 543–547 (2006).Article 

    Google Scholar 
    Kutti, T., Bannister, R. J. & Fosså, J. H. Community structure and ecological function of deep-water sponge grounds in the Traenadypet MPA-Northern Norwegian continental shelf. Cont. Shelf Res. 69, 21–30 (2013).Article 

    Google Scholar 
    Beazley, L., Kenchington, E. L., Murillo, F. J. & Sacau, M. D. M. Deep-sea sponge grounds enhance diversity and abundance of epibenthic megafauna in the Northwest Atlantic. ICES J. Mar. Sci. 70, 1471–1490 (2013).Article 

    Google Scholar 
    Buhl-Mortensen, L. et al. Biological structures as a source of habitat heterogeneity and biodiversity on the deep ocean margins. Mar. Ecol. 31, 21–50 (2010).Article 

    Google Scholar 
    Victorero, L., Robert, K., Robinson, L. F., Taylor, M. L. & Huvenne, V. A. I. Species replacement dominates megabenthos beta diversity in a remote seamount setting. Sci. Rep. 8, 1–11 (2018).Article 
    CAS 

    Google Scholar 
    Yesson, C., Clark, M. R., Taylor, M. L. & Rogers, A. D. The global distribution of seamounts based on 30 arc seconds bathymetry data. Deep-Sea Res. I 58, 442–453 (2011).Article 

    Google Scholar 
    ICES. Report of the ICES-NAFO Working Group on Deep-Water Ecology (WGDEC), 9–13 March 2009, ICES CM2009ACOM:23. 2009.Cárdenas, P. & Rapp, H. T. Demosponges from the Northern mid-Atlantic ridge shed more light on the diversity and biogeography of North Atlantic deep-sea sponges. J. Mar. Biol. Assoc. U.K. 95, 1475–1516 (2015).Article 

    Google Scholar 
    Cárdenas, P. et al. Taxonomy, biogeography and DNA barcodes of Geodia species (Porifera, Demospongiae, Tetractinellida) in the Atlantic boreo-arctic region. Zool. J. Linn. Soc. 169, 251–311 (2013).Article 

    Google Scholar 
    Roberts, E. M. et al. Oceanographic setting and short-timescale environmental variability at an Arctic seamount sponge ground. Deep-Sea Res. I 138, 98–113 (2018).Article 

    Google Scholar 
    Roberts, E. et al. Water masses constrain the distribution of deep-sea sponges in the North Atlantic Ocean and Nordic seas. Mar. Ecol. Prog. Ser. 659, 75–96 (2021).Article 

    Google Scholar 
    Morganti, T. M. et al. Giant sponge grounds of central Arctic seamounts are associated with extinct seep life. Nat. Commun. 13, 638 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Morganti, T. M. et al. In situ observation of sponge trails suggests common sponge locomotion in the deep central Arctic. Curr. Biol. 31, R368–R370 (2021).Article 
    CAS 
    PubMed 

    Google Scholar 
    Meyer, H. K., Roberts, E. M., Rapp, H. T. & Davies, A. J. Spatial patterns of arctic sponge ground fauna and demersal fish are detectable in autonomous underwater vehicle (AUV) imagery. Deep-Sea Res. I 153, 103137 (2019).Article 

    Google Scholar 
    McIntyre, F. D., Drewery, J., Eerkes-Medrano, D. & Neat, F. C. Distribution and diversity of deep-sea sponge grounds on the Rosemary bank seamount NE Atlantic. Mar. Biol. 163, 143 (2016).Article 

    Google Scholar 
    Buhl-Mortensen, P. & Buhl-Mortensen, L. Diverse and vulnerable deep-water biotopes in the Hardangerfjord. Mar. Biol. Res. 10, 253–267 (2014).Article 

    Google Scholar 
    de Clippele, L. H. et al. The effect of local hydrodynamics on the spatial extent and morphology of cold-water coral habitats at Tisler Reef Norway. Coral Reefs 37, 253–266 (2018).Article 
    PubMed 

    Google Scholar 
    Dunlop, K., Harendza, A., Plassen, L. & Keeley, N. Epifaunal habitat Associations on mixed and hard bottom substrates in coastal waters of Northern Norway. Front. Mar. Sci. 7, 568802 (2020).Article 

    Google Scholar 
    Fiore, C. L. & Cox Jutte, P. Characterization of macrofaunal assemblages associated with sponges and tunicates collected off the southeastern United States. Biology 129, 105–120 (2010).
    Google Scholar 
    Murillo, F. J. et al. Deep-sea sponge grounds of the Flemish Cap, Flemish Pass and the Grand Banks of Newfoundland (Northwest Atlantic Ocean): Distribution and species composition. Mar. Biol. Res. 8, 842–854 (2012).Article 

    Google Scholar 
    Purser, A. et al. Local variation in the distribution of benthic megafauna species associated with cold-water coral reefs on the Norwegian margin. Cont. Shelf Res. 54, 37–51 (2013).Article 

    Google Scholar 
    Klitgaard, A. B. & Tendal, O. S. Distribution and species composition of mass occurrences of large-sized sponges in the northeast Atlantic. Prog. Oceanogr. 61, 57–98 (2004).Article 

    Google Scholar 
    Klitgaard, A. B. The fauna associated with outer shelf and upper slope sponges (porifera, demospongiae) at the faroe islands, northeastern Atlantic. Sarsia 80, 1–22 (1995).Article 

    Google Scholar 
    Cárdenas, P. & Moore, J. A. First records of Geodia demosponges from the New England seamounts, an opportunity to test the use of DNA mini-barcodes on museum specimens. Mar. Biodivers. 49, 163–174 (2019).Article 

    Google Scholar 
    Schejter, L., Chiesa, I. L., Doti, B. L. & Bremec, C. Mycale (Aegogropila) magellanica (Porifera: Demospongiae) in the southwestern Atlantic Ocean: Endobiotic fauna and new distributional information. Sci. Mar. 76, 753–761 (2012).
    Google Scholar 
    Beaulieu, S. E. Life on glass houses: Sponge stalk communities in the deep sea. Mar. Biol. 138, 803–817 (2001).Article 

    Google Scholar 
    Goren, L., Idan, T., Shefer, S. & Ilan, M. Macrofauna inhabiting massive demosponges from shallow and mesophotic habitats along the Israeli Mediterranean coast. Front. Mar. Sci. 7, 612779 (2021).Article 

    Google Scholar 
    Kersken, D. et al. The infauna of three widely distributed sponge species (Hexactinellida and Demospongiae) from the deep Ekström Shelf in the Weddell Sea Antarctica. Deep-Sea Res. II 108, 101–112 (2014).Article 

    Google Scholar 
    Meyer, H. K., Roberts, E. M., Rapp, H. T. & Davies, A. J. Spatial patterns of arctic sponge ground fauna and demersal fish are detectable in autonomous underwater vehicle (AUV) imagery. Deep Sea Res. 1 Oceanogr. Res. Pap. 153, 103137 (2019).Article 

    Google Scholar 
    Bart, M. C., Hudspith, M., Rapp, H. T., Verdonschot, P. F. M. & de Goeij, J. M. A Deep-Sea Sponge Loop? Sponges transfer dissolved and particulate organic carbon and nitrogen to associated fauna. Front. Mar. Sci. 8, 604879 (2021).Article 

    Google Scholar 
    de Goeij, J. M. et al. Surviving in a marine desert: The sponge loop retains resources within coral reefs. Science 1979(342), 108–110 (2013).Article 

    Google Scholar 
    Pawlik, J. R. & Mcmurray, S. E. The emerging ecological and biogeochemical importance of sponges on coral reefs. (2019) https://doi.org/10.1146/annurev-marine-010419Wassmann, P., Slagstad, D. & Ellingsen, I. Primary production and climatic variability in the European sector of the Arctic Ocean prior to 2007: Preliminary results. Polar Biol. 33, 1641–1650 (2010).Article 

    Google Scholar 
    Arrigo, K. R., van Dijken, G. & Pabi, S. Impact of a shrinking Arctic ice cover on marine primary production. Geophys. Res. Lett. 35, L19603 (2008).Article 

    Google Scholar 
    Dunne, J. P., Sarmiento, J. L. & Gnanadesikan, A. A synthesis of global particle export from the surface ocean and cycling through the ocean interior and on the seafloor. Glob. Biogeochem. Cycles 21, GB4006 (2007).Article 

    Google Scholar 
    Wei, C.-L. et al. Global patterns and predictions of seafloor biomass using random forests. PLoS ONE 5, e15323 (2010).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Stratmann, T. et al. The BenBioDen database, a global database for meio-, macro- and megabenthic biomass and densities. Sci. Data 7, 206 (2020).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    McClain, C. R., Lundsten, L., Ream, M., Barry, J. & DeVogelaere, A. Endemicity, biogeography, composition, and community structure on a Northeast Pacific seamount. PLoS ONE 4, e4141 (2009).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Walter, M., Köhler, J., Myriel, H., Steinmacher, B. & Wisotzki, A. Physical oceanography measured on water bottle samples during POLARSTERN cruise PS101 (ARK-XXX/3). PANGAEA https://doi.org/10.1594/PANGAEA.871927 (2017).van Appen, W.-J., Latarius, K. & Kanzow, T. Physical oceanography and current meter data from mooring F6–17. PANGAEA https://doi.org/10.1594/PANGAEA.870845 (2017).Ruhl, H. A. & Smith, K. L. Shifts in deep-sea community structure linked to climate and food supply. Science 1979(305), 513–515 (2004).Article 

    Google Scholar 
    Boetius, A. et al. Export of algal biomass from the melting Arctic sea ice. Science 1979(339), 1430–1432 (2013).Article 

    Google Scholar 
    Rybakova, E., Kremenetskaia, A., Vedenin, A., Boetius, A. & Gebruk, A. Deep-sea megabenthos communities of the Eurasian Central Arctic are influenced by ice-cover and sea-ice algal falls. PLoS ONE 14, e0211009 (2019).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Zhulay, I., Bluhm, B. A., Renaud, P. E., Degen, R. & Iken, K. Functional pattern of benthic epifauna in the Chukchi borderland Arctic deep sea. Front. Mar. Sci. 8, 609956 (2021).Article 

    Google Scholar 
    Boetius, A. & Purser, A. The expedition PS101 of the research vessel Polarstern to the Arctic Ocean in 2016. Berichte zur Polar-und Meeresforschung = Rep Polar Mar Res https://doi.org/10.2312/BzPM_0706_2017 (2017).Article 

    Google Scholar 
    Simon-Lledó, E. et al. Multi-scale variations in invertebrate and fish megafauna in the mid-eastern Clarion Clipperton Zone. Prog. Oceanogr. 187, 102405 (2020).Article 

    Google Scholar 
    Simon-Lledó, E. et al. Preliminary observations of the abyssal megafauna of Kiribati. Front. Mar. Sci. 6, 1–13 (2019).Article 

    Google Scholar 
    Zhulay, I., Iken, K., Renaud, P. E. & Bluhm, B. A. Epifaunal communities across marine landscapes of the deep Chukchi Borderland (Pacific Arctic). Deep Sea Res. 1 Oceanogr. Res. Pap. 151, 103065 (2019).Article 

    Google Scholar 
    Åström, E. K. L., Sen, A., Carroll, M. L. & Carroll, J. L. Cold seeps in a warming Arctic: Insights for benthic ecology. Front. Mar. Sci. https://doi.org/10.3389/fmars.2020.00244 (2020).Article 

    Google Scholar 
    Pedersen, R. B. et al. Discovery of a black smoker vent field and vent fauna at the Arctic Mid-Ocean Ridge. Nat. Commun. 1, 1–6 (2010).Article 
    CAS 

    Google Scholar 
    Åström, E. K. L. et al. Methane cold seeps as biological oases in the high-Arctic deep sea. Limnol. Oceanogr. 63, S209–S231 (2018).Article 

    Google Scholar 
    Rybakova Goroslavskaya, E., Galkin, S., Bergmann, M., Soltwedel, T. & Gebruk, A. Density and distribution of megafauna at the Håkon Mosby mud volcano (the Barents Sea) based on image analysis. Biogeosciences 10, 3359–3374 (2013).Article 

    Google Scholar 
    Sweetman, A. K., Levin, L. A., Rapp, H. T. & Schander, C. Faunal trophic structure at hydrothermal vents on the southern mohn’s ridge, arctic ocean. Mar. Ecol. Prog. Ser. 473, 115–131 (2013).Article 

    Google Scholar 
    Decker, C. & Olu, K. Does macrofaunal nutrition vary among habitats at the Hakon Mosby mud volcano?. Cah. Biol. Mar. 51, 361–367 (2010).
    Google Scholar 
    Macdonald, I. R., Bluhm, B. A., Iken, K., Gagaev, S. & Strong, S. Benthic macrofauna and megafauna assemblages in the Arctic deep-sea Canada Basin. Deep-Sea Res. II 57, 136–152 (2010).Article 

    Google Scholar 
    Taylor, J., Krumpen, T., Soltwedel, T., Gutt, J. & Bergmann, M. Dynamic benthic megafaunal communities: Assessing temporal variations in structure, composition and diversity at the Arctic deep-sea observatory HAUSGARTEN between 2004 and 2015. Deep Sea Res. 1 Oceanogr. Res. Pap. 122, 81–94 (2017).Article 

    Google Scholar 
    Vedenin, A. A. et al. Uniform bathymetric zonation of marine benthos on a Pan-Arctic scale. Prog. Oceanogr. 202, 102764 (2022).Article 

    Google Scholar 
    Bart, M. C. et al. A deep-sea sponge loop? Sponges transfer dissolved and particulate organic carbon and nitrogen to associated fauna. Front. Mar. Sci. 8, 604879 (2021).Article 

    Google Scholar 
    Guihen, D., White, M. & Lundälv, T. Temperature shocks and ecological implications at a cold-water coral reef. ANZIAM J. https://doi.org/10.1017/S1755267212000413 (2014).Article 

    Google Scholar 
    Strand, R. et al. The response of a boreal deep-sea sponge holobiont to acute thermal stress. Sci. Rep. 7, 1660 (2017).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Hanz, U. et al. The important role of sponges in carbon and nitrogen cycling in a deep-sea biological hotspot. Funct. Ecol. 36, 2188–2199 (2022).Article 
    CAS 

    Google Scholar 
    Maier, S. R. et al. Reef communities associated with ‘dead’ cold-water coral framework drive resource retention and recycling in the deep sea. Deep-Sea Res. I 175, 103574 (2021).Article 
    CAS 

    Google Scholar 
    Bart, M. C. et al. Dissolved organic carbon (DOC) is essential to balance the metabolic demands of four dominant North-Atlantic deep-sea sponges. Limnol. Oceanogr. https://doi.org/10.1002/lno.11652 (2020).Article 

    Google Scholar 
    Bart, M. C. et al. Differential processing of dissolved and particulate organic matter by deep-sea sponges and their microbial symbionts. Sci. Rep. 10, 1–13 (2020).Article 

    Google Scholar 
    Maier, S. R. et al. Recycling pathways in cold-water coral reefs: Use of dissolved organic matter and bacteria by key suspension feeding taxa. Sci. Rep. 10, 9942 (2020).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    International Hydrographic Bureau. 16th meeting of the GEBCO sub-committee on undersea feature names (SCUFN). Preprint at (2003).Torres-Valdés, S., Morische, A. & Wischnewski, L. Revision of nutrient data from Polarstern expedition PS101 (ARK-XXX/3). PANGAEA https://doi.org/10.1594/PANGAEA.908179 (2019).Purser, A. et al. Ocean floor observation and bathymetry system (OFOBS): A new towed camera/sonar system for deep-sea habitat surveys. IEEE J. Ocean. Eng. 44, 87–99 (2019).Article 

    Google Scholar 
    Marcon, Y. & Purser, A. PAPARA(ZZ)I : An open-source software interface for annotating photographs of the deep-sea. SoftwareX 6, 69–80 (2017).Article 

    Google Scholar 
    Greene, H. G., Bizzarro, J. J., O’Connell, V. M. & Brylinsky, C. K. Construction of digital potential marine benthic habitat maps using a coded classification scheme and its application. Spec. Pap.: Geol. Assoc. Canada 47, 141–155 (2007).
    Google Scholar 
    Horton, T. et al. Recommendations for the standardisation of open taxonomic nomenclature for image-based identifications. Front. Mar. Sci. 8, 620702 (2021).Article 

    Google Scholar 
    Davison, A. C. & Hinkley, D. V. Bootstrap Methods and Their Application (Cambridge University Press, 1997).Book 
    MATH 

    Google Scholar 
    Rodgers, J. L. The bootstrap, the jackknife, and the randomization test: A sampling taxonomy. Multivar. Behav. Res. 34, 441–456 (1999).Article 
    CAS 

    Google Scholar 
    Crowley, P. H. Resampling methods for computation-intensive data analysis in ecology and evolution. Annu. Rev. Ecol. Syst. 23, 405–447 (1992).Article 

    Google Scholar 
    Simon-Lledó, E. et al. Ecology of a polymetallic nodule occurrence gradient: Implications for deep-sea mining. Limnol. Oceanogr. 64, 1883–1894 (2019).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Jost, L. Entropy and diversity. Oikos 113, 363–375 (2006).Article 

    Google Scholar 
    Clarke, K. R. Non-parametric multivariate analyses of changes in community structure. Aust. J. Ecol. 18, 117–143 (1993).Article 

    Google Scholar 
    R-Core Team. R: A language and environment for statistical computing. Preprint at https://www.r-project.org/ (2017).Oksanen, J. et al. vegan: Community ecology package. Preprint at (2017).Veech, J. A. A probabilistic model for analysing species co-occurrence. Glob. Ecol. Biogeogr. 22, 252–260 (2013).Article 

    Google Scholar 
    Griffith, D. M., Veech, J. A. & Marsh, C. J. Cooccur: Probabilistic species co-occurrence analysis in R. J. Stat. Softw. 69, 1–17 (2016).Article 

    Google Scholar 
    Bligh, E. G. & Dyer, W. J. A rapid method of total lipid extraction and purification. Can. J. Biochem. Physiol. 37, 911–917 (1959).Article 
    CAS 
    PubMed 

    Google Scholar 
    de Kluijver, A. Fatty acid analysis sponges. protocols.io 1, 1–14. https://doi.org/10.17504/protocols.io.bhnpj5dn (2021).Article 

    Google Scholar 
    de Kluijver, A. et al. Bacterial precursors and unsaturated long-chain fatty acids are biomarkers of North-Atlantic deep-sea demosponges. PLoS ONE 16, e0241095 (2021).Article 
    PubMed 
    PubMed Central 

    Google Scholar  More

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    Field research stations are key to global conservation targets

    A theme is emerging in this year’s United Nations conferences on biodiversity (COP15), climate change (COP27) and the international wildlife trade (COP19): countries are struggling to meet key conservation targets. We argue that field research stations are an effective — but imperilled and overlooked — tool that can help policy frameworks to meet those targets. We write on behalf of 149 experts from 47 countries.
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    The authors declare no competing interests. More

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    Recent and rapid ecogeographical rule reversals in Northern Treeshrews

    Millien, V. et al. Ecotypic variation in the context of global climate change: Revisiting the rules. Ecol. Lett. 9, 853–869 (2006).Article 
    PubMed 

    Google Scholar 
    Calder, W. A. Size, Function and Life History (Harvard University Press, 1984).
    Google Scholar 
    Bergmann, C. Über die verhältnisse der wärmeökonomie der thiere zu ihrer grösse. Göttinger Stud. 3, 595–708 (1847).
    Google Scholar 
    Mayr, E. Geographical character gradients and climatic adaptation. Evolution 10, 105–108 (1956).Article 

    Google Scholar 
    Riddell, E. A., Iknayan, K. J., Wolf, B. O., Sinervo, B. & Beissinger, S. R. Cooling requirements fueled the collapse of a desert bird community from climate change. PNAS 116, 21609–21615 (2019).Article 
    CAS 
    PubMed 
    PubMed Central 
    ADS 

    Google Scholar 
    Foster, J. B. Evolution of mammals on islands. Nature 202, 234–235 (1964).Article 
    ADS 

    Google Scholar 
    Lomolino, M. V. Body size evolution in insular vertebrates: Generality of the island rule. J. Biogeogr. 32, 1683–1699 (2005).Article 

    Google Scholar 
    Benítez-López, A. et al. The island rule explains consistent patterns of body size evolution in terrestrial vertebrates. Nat. Ecol. Evol. 5, 768–786 (2021).Article 
    PubMed 

    Google Scholar 
    Meiri, S. & Dayan, T. On the validity of Bergmann’s rule. J. Biogeogr. 30, 331–351 (2003).Article 

    Google Scholar 
    Meiri, S., Cooper, N. & Purvis, A. The island rule: Made to be broken?. Proc. R. Soc. B. 275, 141–148 (2008).Article 
    PubMed 

    Google Scholar 
    Millien, V. Relative effects of climate change, isolation and competition on body-size evolution in the Japanese field mouse, Apodemus argenteus. J. Biogeogr. 31, 1267–1276 (2004).Article 

    Google Scholar 
    Millien, V. & Damuth, J. Climate change and size evolution in an island rodent species: New perspectives on the island rule. Evolution 58, 1353–1360 (2004).Article 
    PubMed 

    Google Scholar 
    Lomolino, M. V., Sax, D. F., Riddle, B. R. & Brown, J. H. The island rule and a research agenda for studying ecogeographical patterns. J. Biogeogr. 33, 1503–1510 (2006).Article 

    Google Scholar 
    Sargis, E. J., Millien, V., Woodman, N. & Olson, L. E. Rule reversal: Ecogeographical patterns of body size variation in the common treeshrew (Mammalia, Scandentia). Ecol. Evol. 8, 1634–1645 (2018).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Barnosky, A. D., Hadly, E. A. & Bell, C. J. Mammalian response to global warming on varied temporal scales. J. Mammal. 84, 354–368 (2003).Article 

    Google Scholar 
    Sheridan, J. A. & Bickford, D. Shrinking body size as an ecological response to climate change. Nat. Clim. Change 1, 401–406 (2011).Article 
    ADS 

    Google Scholar 
    Gardner, J. L., Peters, A., Kearney, M. R., Joseph, L. & Heinsohn, R. Declining body size: A third universal response to warming? Trends Ecol. Evol. 26, 285–291 (2011).Article 
    PubMed 

    Google Scholar 
    Teplitsky, C., Mills, J. A., Alho, J. S., Yarrall, J. W. & Merilä, J. Bergmann’s rule and climate change revisited: Disentangling environmental and genetic responses in a wild bird population. PNAS 105, 13492–13496 (2008).Article 
    CAS 
    PubMed 
    PubMed Central 
    ADS 

    Google Scholar 
    Teplitsky, C. & Millien, V. Climate warming and Bergmann’s rule through time: Is there any evidence?. Evol. Appl. 7, 156–168 (2014).Article 
    PubMed 

    Google Scholar 
    James, F. C. Geographic size variation in birds and its relationship to climate. Ecology 51, 385–390 (1970).Article 

    Google Scholar 
    Wigginton, J. D. & Dobson, F. S. Environmental influences on geographic variation in body size of western bobcats. Can. J. Zool. 77, 802–813 (1999).Article 

    Google Scholar 
    Yom-Tov, Y. & Geffen, E. Geographic variation in body size: The effects of ambient temperature and precipitation. Oecologia 148, 213–218 (2006).Article 
    PubMed 
    ADS 

    Google Scholar 
    Wagner, J. A. Schreber’s saugthiere, supplementband, 2. Abtheilung 1841(37–44), 553 (1841).
    Google Scholar 
    Hawkins, M. T. Family Tupaiidae (treeshrews). In Handbook of the Mammals of the World, Volume 8 Insectivores, Sloths and Colugos (eds Wilson, D. E. & Mittermeier, R. A.) (Lynx Edicions, 2018).
    Google Scholar 
    Roberts, T. E., Lanier, H. C., Sargis, E. J. & Olson, L. E. Molecular phylogeny of treeshrews (Mammalia: Scandentia) and the timescale of diversification in Southeast Asia. Mol. Phylogenet. Evol. 60, 358–372 (2011).Article 
    PubMed 

    Google Scholar 
    Zhang, L., Yang, F., Wang, Z. K. & Zhu, W. L. Role of thermal physiology and bioenergetics on adaptation in tree shrew (Tupaia belangeri): The experiment test. Sci. Rep. 7, 41352 (2017).Article 
    CAS 
    PubMed 
    PubMed Central 
    ADS 

    Google Scholar 
    Zhu, W., Zhang, H. & Wang, Z. Seasonal changes in body mass and thermogenesis in tree shrews (Tupaia belangeri): The roles of photoperiod and cold. J. Therm. Biol. 37, 479–484 (2012).Article 

    Google Scholar 
    Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer-Verlag, 2016).Book 
    MATH 

    Google Scholar 
    South, A. rnaturalearth: World Map Data from Natural Earth. R package version 0.1.0 (2017).Dunnington, D. ggspatial: Spatial Data Framework for ggplot2. R package version 1.1.4 (2020).R Core Team. R: A language and environment for statistical computing (R Foundation for Statistical Computing, 2018).Helgen, K. M. Order Scandentia. In Mammal Species of the World: A Taxonomic and Geographic Reference 3rd edn (eds Wilson, D. E. & Reeder, D. M.) (Johns Hopkins University Press, 2005).
    Google Scholar 
    Collins, P. M. & Tsang, W. N. Growth and reproductive development in the male tree shrew (Tupaia belangeri) from birth to sexual maturity. Biol. Reprod. 37, 261–267 (1987).Article 
    CAS 
    PubMed 

    Google Scholar 
    Heaney, L. R. Island area and body size of insular mammals: Evidence from the tri-colored squirrel (Callosciurus prevosti) of Southeast Asia. Evolution 32, 29–44 (1978).PubMed 

    Google Scholar 
    Husson, L., Boucher, F. C., Sarr, A. C., Sepulchre, P. & Cahyarini, S. Y. Evidence of Sundaland’s subsidence requires revisiting its biogeography. J. Biogeogr. 47, 843–853 (2020).Article 

    Google Scholar 
    Juman, M. M., Woodman, N., Olson, L. E. & Sargis, E. J. Ecogeographic variation and taxonomic boundaries in Large Treeshrews (Scandentia, Tupaiidae: Tupaia tana Raffles, 1821) from Southeast Asia. J. Mammal. 102, 1054–1066 (2021).Article 

    Google Scholar 
    Hinckley, A. et al. Challenging ecogeographical rules: Phenotypic variation in the Mountain Treeshrew (Tupaia montana) along tropical elevational gradients. PLoS ONE 17, e0268213 (2022).Article 
    CAS 
    PubMed 

    Google Scholar 
    Lomolino, M. V., Sax, D. F., Palombo, M. R. & van der Geer, A. A. Of mice and mammoths: evaluations of causal explanations for body size evolution in insular mammals. J. Biogeogr. 39, 842–854 (2011).Article 

    Google Scholar 
    Teta, P., de la Sancha, N. U., D’Elía, G. & Patterson, B. D. Andean rain shadow effect drives phenotypic variation in a widely distributed Austral rodent. J. Biogeogr. 49, 1767–1778 (2022).Article 

    Google Scholar 
    Yom-Tov, Y. & Yom-Tov, S. Climatic change and body size in two species of Japanese rodents. Biol. J. Linn. Soc. 82, 263–267 (2004).Article 

    Google Scholar 
    Yom-Tov, Y. & Yom-Tov, J. Global warming, Bergmann’s rule and body size in the masked shrew Sorex cinereus in Alaska. J. Anim. Ecol. 74, 803–808 (2005).Article 

    Google Scholar 
    Deutsch, C. A. et al. Impacts of climate warming on terrestrial ectotherms across latitude. PNAS 105, 6668–6672 (2008).Article 
    CAS 
    PubMed 
    PubMed Central 
    ADS 

    Google Scholar 
    Newbold, T., Oppenheimer, P., Etard, A. & Williams, J. J. Tropical and Mediterranean biodiversity is disproportionately sensitive to land-use and climate change. Nat. Ecol. Evol. 4, 1630–1638 (2020).Article 
    PubMed 

    Google Scholar 
    Cronk, Q. C. B. Islands: stability, diversity, conservation. Biodivers. Conserv. 6, 477–493 (1997).Article 

    Google Scholar 
    Kier, G. et al. A global assessment of endemism and species richness across island and mainland regions. PNAS 106, 9322–9327 (2009).Article 
    CAS 
    PubMed 
    PubMed Central 
    ADS 

    Google Scholar 
    Yom-Tov, Y. & Geffen, E. Recent spatial and temporal changes in body size of terrestrial vertebrates: Probable causes and pitfalls. Biol. Rev. 86, 531–541 (2011).Article 
    PubMed 

    Google Scholar 
    Theriot, M. K., Lanier, H. C. & Olson, L. E. Harnessing natural history collections to detect trends in body-size change as a response to warming: A critique and review of best practices. Methods Ecol. Evol. (2022).Rohwer, V. G., Rohwer, Y. & Dillman, C. B. Declining growth of natural history collections fails future generations. PLoS Biol. 20, e3001613 (2022).Article 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Sargis, E. J., Woodman, N., Morningstar, N. C., Reese, A. T. & Olson, L. E. Morphological distinctiveness of Javan Tupaia hypochrysa (Scandentia, Tupaiidae). J. Mammal. 94, 938–947 (2013).Article 

    Google Scholar 
    Sargis, E. J., Woodman, N., Morningstar, N. C., Reese, A. T. & Olson, L. E. Island history affects faunal composition: The treeshrews (Mammalia: Scandentia: Tupaiidae) from the Mentawai and Batu Islands, Indonesia. Biol. J. Linn. Soc. 111, 290–304 (2014).Article 

    Google Scholar 
    Sargis, E. J., Campbell, K. K. & Olson, L. E. Taxonomic boundaries and craniometric variation in the treeshrews (Scandentia, Tupaiidae) from the Palawan faunal region. J. Mamm. Evol. 21, 111–123 (2014).Article 

    Google Scholar 
    Sargis, E. J., Woodman, N., Morningstar, N. C., Bell, T. N. & Olson, L. E. Skeletal variation and taxonomic boundaries among mainland and island populations of the common treeshrew (Mammalia: Scandentia: Tupaiidae). Biol. J. Linn. Soc. 120, 286–312 (2017).
    Google Scholar 
    Juman, M. M., Olson, L. E. & Sargis, E. J. Skeletal variation and taxonomic boundaries in the Pen-tailed Treeshrew (Scandentia, Ptilocercidae: Ptilocercus lowii Gray, 1848). J. Mamm. Evol. 28, 1193–1203 (2021).Article 

    Google Scholar 
    Juman, M. M., Woodman, N., Miller-Murthy, A., Olson, L. E. & Sargis, E. J. Taxonomic boundaries in Lesser Treeshrews (Scandentia, Tupaiidae: Tupaia minor Günther, 1876). J. Mammal. https://doi.org/10.1093/jmammal/gyac080 (2022).Article 

    Google Scholar 
    Woodman, N., Miller-Murthy, A., Olson, L. E. & Sargis, E. J. Coming of age: Morphometric variation in the hand skeletons of juvenile and adult Lesser Treeshrews (Scandentia: Tupaiidae: Tupaia minor Günther, 1876). J. Mammal. 101, 1151–1164 (2020).Article 

    Google Scholar 
    Chamberlain, S., Barve, V., Mcglinn, D., Oldoni, D., Desmet, P., Geffert, L. & Ram, K. rgbif: Interface to the Global Biodiversity Information Facility API. R package version 3.7.2, https://CRAN.R-project.org/package=rgbif.Harris, I., Osborn, T. J., Jones, P. & Lister, D. Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Sci. Data. 7, 109 (2020).Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Meiyappan, P. & Jain, A. K. Three distinct global estimates of historical land-cover change and land-use conversions for over 200 years. Front. Earth Sci. 6, 122–139 (2012).Article 
    ADS 

    Google Scholar 
    Ryan, W. B. F. et al. Global multi-resolution topography synthesis. Geochem. Geophys. 10, Q03014 (2009).
    Google Scholar 
    van Buuren, S. & Groothuis-Oudshoorn, K. mice: Multivariate imputation by chained equations in R. J. Stat. Softw. 45, 1–67 (2011).Article 

    Google Scholar 
    Clavel, J., Merceron, G. & Escarguel, G. Missing data estimation in morphometrics: How much is too much? Syst. Biol. 63, 203–218 (2014).Article 
    PubMed 

    Google Scholar 
    Nally, R. M. & Walsh, C. J. Hierarchical partitioning public-domain software. Biodivers. Conserv. 13, 659–660 (2004).Article 

    Google Scholar 
    Bivand, R. S., Pebesma, E. & Gomez-Rubio, V. Applied Spatial Data Analysis with R 2nd edn. (Springer, 2013).Book 
    MATH 

    Google Scholar  More