More stories

  • in

    Comparison of entomological impacts of two methods of intervention designed to control Anopheles gambiae s.l. via swarm killing in Western Burkina Faso

    Study sites and swarm characterizationThe survey was conducted in 10 villages in south-western Burkina Faso especially around the district of Bobo-Dioulasso, Santitougou (N11° 17′ 16″, W4° 13′ 04″), Kimidougou (N11° 17′ 53″; W4° 14′ 11″), Nastenga (N10.96871; W003.23477), Zeyama (N10.87638; W 003.26145), Mogobasso (N11° 25′ 31″, W4° 06′ 08″), Synbekuy (N11° 53′ 28″, W3° 44′ 02″), Ramatoulaye (N11° 33′ 39″, W3° 57′ 05″) Syndombokuy (N11° 53′ 06″, W3° 43′ 19″), Lampa (N11.16464; W 003.6374) et Syndounkuy (N11.14541; W 003.05141) (Fig. 1). All villages are located north of Bobo-Dioulasso, on the national road 10 (N10), ranged from 20 and 90 km. The region is characterised by wooded savannah located in south-western Burkina Faso, and the mean annual rainfall is about 1200 mm. The rainy season extends from May to October and the dry season from November to April. Malaria transmission in the area extends from June to November. However, residual transmission may occur beyond this period in specific locations. An. gambiae is the major malaria vector following by An. coluzzii and An. Arabiensis. Villages were chosen to represent similar ecological and entomological settings, they are middle sized and relatively isolated from one another.Figure 1Localization of the study sites in south-western Burkina Faso. This map was created under QGIS version 2.18 Las Palmas. link: https://changelog.qgis.org/en/qgis/version/2.18.0/Full size imageSpray Application Against Mosquito Swarms (SAMS) consisted of spraying diluted insecticide (Actellic 50: tap water with 1:20 concentration) at dusk by trained volunteer teams. They used the innovative technology of targeted swarm spraying with handheld sprayers and conventional broadcast space spray with backpack sprayers to achieve maximum effect. The spraying activities were conducted in eight of the ten villages. The target swarm spray was used in the four villages Kimidougou, Nastenga, Ramatoulaye and Syndombokuy. The broadcast space spray was applied in four other villages, Zeyama, Mogobasso, Lampa and Syndounkuy. The two remaining villages, Santidougou and Synbekuy were chosen as controls (Fig. 1). In each village, the potential swarm markers and the positive swarm sites were identified and geo-referenced using GPS. All concessions also were geo-referenced and labelled using paint.Procedure of the interventionTargeted swam spraying using handheld sprayersTargeted swarm spraying was carried out in four villages. Members of each team and volunteers from the selected villages were trained to target the swarms and apply an appropriate amount of spray each time. After the pre-intervention phase, all swarm sites scattered through the villages were repaired and swarm characteristics recorded. At 30 min before dusk (the estimated swarming time), a volunteer was placed in each compound with a sprayer. The objective of each volunteer was to destroy any swarm in the compound by applying insecticide with the handheld sprayer (Fig. 2A,B). Screening of the compound was continued for about 30 min until it was dark and no mosquitoes were visible. A single operator was able to effectively target 5 to 10 swarms per spray evening, depending on the distribution of swarms across the village. Spraying was carried out for 10 successive days throughout each village. The period of spraying approximately covered the period of pre-imaginal mosquito stages and was renewed after 45 days. The quantity of insecticide used was measured daily, in order to determine with precision the total quantity of insecticide used during targeted spraying.Figure 2Volunteer spraying swarms using handheld sprayers (A,B). Backpack spraying activities (C,D).Full size imageConventional broadcast spraying using Backpack sprayersThe broadcast spraying was also carried out in 4 villages but, unlike the targeted spraying, there was no direct targeting of swarms. At swarming time (estimated around 30 min at dusk) two volunteers with backpack sprayers ran through the entire village along paths between the compounds while spraying insecticide (Fig. 2C,D). As with the targeted spraying procedure, the broadcast spraying was carried out for 10 successive days in all 4 villages simultaneously, and spraying recommenced after 45 days. The quantity of insecticide used was measured daily, in order to determine with precision the total quantity of insecticide used during targeted spraying.Evaluation of the interventionA year prior to the intervention, baseline entomological data was collected in both villages to estimate mosquito density, human biting rate, female insemination rate, age structure of females and entomological inoculation rate29. The same parameters were evaluated immediately before and after intervention. The pre- and post-intervention evaluation of the abovementioned parameters were carried in both control and intervention villages at the same time. In both pre-intervention and post-intervention phases, two methods of mosquito collection were performed in each village, the human landing catch (HLC), indoor and outdoor in 4 houses for 4 successive nights, the pyrethroid spray catch (PSC) in the same10 houses and 10 randomly selected houses. To identify these, all houses in each village were coded and these codes were used to randomly select those to be sampled. All sampled sites were mapped using a global positioning system (GPS). Collected anopheline mosquitoes were sorted by taxonomic status, physiological status, and sex. Approximately, the ovaries of 200 females/month/village (100 females indoor and 100 females outdoor) were dissected to determine the physiological age, and parous females were subsequently subjected to ELISA assays to determine Plasmodium sporozoite rates. Data produced from indoor and outdoor mosquito collections were then used to estimate mosquito densities, their spatial distribution, produce a map identifying hotspots where the highest mosquito densities and biting occurred within the village, female age structure and quantify the intensity of malaria transmission. The impact of the spray was measured to see how it affected each of these parameters in the intervention villages compared to the controls.Statistical analysisThe resting mosquito abundance was assessed as the number of mosquitoes per house, the human biting rate assessed as the number of bites per person per night, the parity rate assessed as the percentage of parous females, and the insemination rate assessed as the percentage of the inseminated females. The list above defined the key entomological parameters to determine the dynamic of An. gambie s.l. populations and malaria transmission. The generalized estimating equation (GEE) method was used to estimate population averaged effect of intervention on various outcome measurements. As the GEE models do not require distributional assumptions but only specification of the mean and variance structure, they are more robust against misspecification of higher-order features of the data, and are useful when the main interest is in population averaged effects of an intervention or treatment. However, because they do not use a full likelihood model, they cannot be used for individual-specific inference30,31. Despite this shortcoming, their robustness to different types of correlation structures in the data (due to temporal ordering of measurements, or other hierarchical structure in data) makes them attractive for analyses of this type. GEE models were run in R version 3.6.232, using the package “geepack”33 for three datasets on insemination and parity rate, number of bites per person per night (NBPN), and density of adult male and female mosquitoes. To clean and plot the data the “tidyverse” family of R packages34 were used.Ethical considerationsThis study did not involve human patients. The full protocol of the study was submitted to the Institutional Ethics Committee of the “Institut de Recherche en Sciences de la Sante” for review and approval (A17-2016/CEIRES). In accordance with the approval, presentations of the project were given to the study site villagers and requests for their participation were made. During these visits the objectives, protocol and expected results were explained and discussed, as well as the implications for the households willing to take part in this study. A written consent form was signed or marked with fingerprint by the head of the households before any activity could take place in his compound. Insecticides used in this study are approved for use by the Burkina Faso insecticide regulation authority. More

  • in

    A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms

    Canadell, J. G. et al. Contributions to accelerating atmospheric CO2 growth from economic activity, carbon intensity, and efficiency of natural sinks. Proc. Natl. Acad. Sci. 104, 18866–18870 (2007).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Beer, C. et al. Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate. Science 329, 834–838 (2010).ADS 
    CAS 
    PubMed 

    Google Scholar 
    Park, T. et al. Changes in timing of seasonal peak photosynthetic activity in northern ecosystems. Global. Change. Biol. 25, 2382–2395 (2019).ADS 

    Google Scholar 
    Wang, T. et al. Emerging negative impact of warming on summer carbon uptake in northern ecosystems. Nat. Commun. 9, 5391 (2018).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Farquhar, G. D., Von Caemmerer, S. & Berry, J. A. A biochemical model of photosynthetic CO2 assimilation in leaves of C3 species. Planta 149, 78–90 (1980).CAS 
    PubMed 

    Google Scholar 
    Chen, J. M. et al. Effects of foliage clumping on the estimation of global terrestrial gross primary productivity. Global. Biogeochem. Cy 26, GB1019 (2012).ADS 

    Google Scholar 
    De Pury, D. G. G. & Farquhar, G. D. Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models. Plant Cell Environ. 20, 537–557 (1997).
    Google Scholar 
    Zhang, Y. et al. Development of a coupled carbon and water model for estimating global gross primary productivity and evapotranspiration based on eddy flux and remote sensing data. Agr. Forest. Meteorol. 223, 116–131 (2016).ADS 

    Google Scholar 
    Monteith, J. L. Climate and the efficiency of crop production in Britain. Philos. Trans. R. Soc. Lond., B, Biol. Sci. 281, 277–294 (1977).ADS 

    Google Scholar 
    Running, S. W. et al. A continuous satellite-derived measure of global terrestrial primary production. Bioscience. 54, 547–560 (2004).
    Google Scholar 
    Yuan, W. et al. Global estimates of evapotranspiration and gross primary production based on MODIS and global meteorology data. Remote Sens. Environ. 114, 1416–1431 (2010).ADS 

    Google Scholar 
    Ruimy, A., Dedieu, G. & Saugier, B. TURC: A diagnostic model of continental gross primary productivity and net primary productivity. Global. Biogeochem. Cy 10, 269–285 (1996).ADS 
    CAS 

    Google Scholar 
    Jung, M. et al. The FLUXCOM ensemble of global land-atmosphere energy fluxes. Sci. Data 6, 190076 (2019).
    Google Scholar 
    Bodesheim, P., Jung, M., Gans, F., Mahecha, M. D. & Reichstein, M. Upscaled diurnal cycles of land–atmosphere fluxes: a new global half-hourly data product. Earth Syst. Sci. Data 10, 1327–1365 (2018).ADS 

    Google Scholar 
    Joiner, J. et al. Estimation of Terrestrial Global Gross Primary Production (GPP) with Satellite Data-Driven Models and Eddy Covariance Flux Data. Remote Sens. 10, 1346 (2018).ADS 

    Google Scholar 
    Xiao, J. et al. Data-driven diagnostics of terrestrial carbon dynamics over North America. Agr. Forest. Meteorol. 197, 142–157 (2014).ADS 

    Google Scholar 
    Ichii, K. et al. New data-driven estimation of terrestrial CO2 fluxes in Asia using a standardized database of eddy covariance measurements, remote sensing data, and support vector regression. J. Geophys. Res. Biogeosci. 122, 767–795 (2017).CAS 

    Google Scholar 
    Cai, W. et al. Improved estimations of gross primary production using satellite-derived photosynthetically active radiation. J. Geophys. Res. Biogeosci. 119, 110–123 (2014).
    Google Scholar 
    Ma, J., Yan, X., Dong, W. & Chou, J. Gross primary production of global forest ecosystems has been overestimated. Sci. Rep. 5, 10820 (2015).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Cai, W. et al. Large Differences in Terrestrial Vegetation Production Derived from Satellite-Based Light Use Efficiency Models. Remote Sens. 6, 8945–8965 (2014).ADS 

    Google Scholar 
    Jung, M. et al. Uncertainties of modeling gross primary productivity over Europe: A systematic study on the effects of using different drivers and terrestrial biosphere models. Global. Biogeochem. Cy 21, GB4021 (2007).ADS 

    Google Scholar 
    Yuan, W. et al. Global comparison of light use efficiency models for simulating terrestrial vegetation gross primary production based on the LaThuile database. Agr. Forest. Meteorol. 192-193, 108–120 (2014).ADS 

    Google Scholar 
    Frankenberg, C. et al. New global observations of the terrestrial carbon cycle from GOSAT: Patterns of plant fluorescence with gross primary productivity. Geophys. Res. Lett. 38, L17706 (2011).ADS 

    Google Scholar 
    Joiner, J. et al. Global monitoring of terrestrial chlorophyll fluorescence from moderate-spectral-resolution near-infrared satellite measurements: methodology, simulations, and application to GOME-2. Atmos Meas Tech 6, 2803–2823 (2013).
    Google Scholar 
    Frankenberg, C. et al. Prospects for chlorophyll fluorescence remote sensing from the Orbiting Carbon Observatory-2. Remote Sens. Environ. 147, 1–12 (2014).ADS 

    Google Scholar 
    Joiner, J. et al. Filling-in of near-infrared solar lines by terrestrial fluorescence and other geophysical effects: simulations and space-based observations from SCIAMACHY and GOSAT. Atmos Meas Tech 5, 809–829 (2012).CAS 

    Google Scholar 
    Köhler, P. et al. Global Retrievals of Solar‐Induced Chlorophyll Fluorescence With TROPOMI: First Results and Intersensor Comparison to OCO‐2. Geophys. Res. Lett. 45, 10,456–410,463 (2018).
    Google Scholar 
    Joiner, J. et al. First observations of global and seasonal terrestrial chlorophyll fluorescence from space. Biogeosciences 8, 637–651 (2011).ADS 
    CAS 

    Google Scholar 
    Guanter, L. et al. Retrieval and global assessment of terrestrial chlorophyll fluorescence from GOSAT space measurements. Remote Sens. Environ. 121, 236–251 (2012).ADS 

    Google Scholar 
    Du, S. et al. Retrieval of global terrestrial solar-induced chlorophyll fluorescence from TanSat satellite. Sci. Bull. 63, 1502–1512 (2018).
    Google Scholar 
    Baker, N. R. Chlorophyll fluorescence: a probe of photosynthesis in vivo. Annu. Rev. Plant Biol. 59, 89–113 (2008).CAS 
    PubMed 

    Google Scholar 
    Drusch, M. et al. The FLuorescence EXplorer Mission Concept—ESA’s Earth Explorer 8. Ieee. T. Geosci. Remote 55, 1273–1284 (2017).ADS 

    Google Scholar 
    Guanter, L. et al. The TROPOSIF global sun-induced fluorescence dataset from the Sentinel-5P TROPOMI mission. Earth Syst. Sci. Data, 13, 5423–5440 (2021).Roesch, A. Use of Moderate-Resolution Imaging Spectroradiometer bidirectional reflectance distribution function products to enhance simulated surface albedos. J. Geophys. Res. 109 (2004).Wan, Z. New refinements and validation of the collection-6 MODIS land-surface temperature/emissivity product. Remote Sens. Environ. 140, 36–45 (2014).ADS 

    Google Scholar 
    Sulla-Menashe, D., Gray, J. M., Abercrombie, S. P. & Friedl, M. A. Hierarchical mapping of annual global land cover 2001 to present: The MODIS Collection 6 Land Cover product. Remote Sens. Environ. 222, 183–194 (2019).ADS 

    Google Scholar 
    Su, W., Charlock, T. P., Rose, F. G. & Rutan, D. Photosynthetically active radiation from Clouds and the Earth’s Radiant Energy System (CERES) products. J. Geophys. Res. 112 (2007).Still, C. J., Berry, J. A., Collatz, G. J. & Defries, R. S. Global distribution of C3and C4vegetation: Carbon cycle implications. Global. Biogeochem. Cy 17, 6-1-6-14 (2003).Zhang, Y. et al. Spatio‐temporal convergence of maximum daily light‐use efficiency based on radiation absorption by canopy chlorophyll. Geophys. Res. Lett. 45, 3508–3519 (2018).ADS 

    Google Scholar 
    Zhang, Z. et al. The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence. Remote Sens. Environ. 240, 111686 (2020).ADS 

    Google Scholar 
    Baker, N. R. Chlorophyll Fluorescence: A Probe of Photosynthesis In Vivo. Annu. Rev. Plant. Biol. 59, 89–113 (2008).CAS 
    PubMed 

    Google Scholar 
    Du, S., Liu, L., Liu, X. & Hu, J. Response of canopy solar-induced chlorophyll fluorescence to the absorbed photosynthetically active radiation absorbed by chlorophyll. Remote Sens. 9, 911 (2017).ADS 

    Google Scholar 
    Rossini, M. et al. Analysis of Red and Far-Red Sun-Induced Chlorophyll Fluorescence and Their Ratio in Different Canopies Based on Observed and Modeled Data. Remote Sens. 8, 412 (2016).ADS 

    Google Scholar 
    Verrelst, J. et al. Global sensitivity analysis of the SCOPE model: What drives simulated canopy-leaving sun-induced fluorescence? Remote Sens. Environ. 166, 8–21 (2015).ADS 

    Google Scholar 
    Zhang, Q. et al. Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model. Remote Sens. Environ. 99, 357–371 (2005).ADS 

    Google Scholar 
    Zhang, Y., Joiner, J., Alemohammad, S. H., Zhou, S. & Gentine, P. A global spatially contiguous solar-induced fluorescence (CSIF) dataset using neural networks. Biogeosciences 15, 5779–5800 (2018).ADS 
    CAS 

    Google Scholar 
    Li, X. & Xiao, J. A Global, 0.05-Degree Product of Solar-Induced Chlorophyll Fluorescence Derived from OCO-2, MODIS, and Reanalysis Data. Remote Sens. 11, 517 (2019).ADS 

    Google Scholar 
    Yu, L., Wen, J., Chang, C. Y., Frankenberg, C. & Sun, Y. High‐Resolution Global Contiguous SIF of OCO‐2. Geophys. Res. Lett. 46, 1449–1458 (2019).ADS 

    Google Scholar 
    Ma, Y., Liu, L., Chen, R., Du, S. & Liu, X. Generation of a Global Spatially Continuous TanSat Solar-Induced Chlorophyll Fluorescence Product by Considering the Impact of the Solar Radiation Intensity. Remote Sens. 12, 2167 (2020).ADS 

    Google Scholar 
    Gentine, P. & Alemohammad, S. H. Reconstructed Solar‐Induced Fluorescence: A Machine Learning Vegetation Product Based on MODIS Surface Reflectance to Reproduce GOME‐2 Solar‐Induced Fluorescence. Geophys. Res. Lett. 45, 3136–3146 (2018).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Wen, J. et al. A framework for harmonizing multiple satellite instruments to generate a long-term global high spatial-resolution solar-induced chlorophyll fluorescence (SIF). Remote Sens. Environ. 239, 111644 (2020).ADS 

    Google Scholar 
    Yang, X. et al. Solar‐induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest. Geophys. Res. Lett. 42, 2977–2987 (2015).ADS 
    CAS 

    Google Scholar 
    Hain, C. R., Crow, W. T., Mecikalski, J. R., Anderson, M. C. & Holmes, T. An intercomparison of available soil moisture estimates from thermal infrared and passive microwave remote sensing and land surface modeling. J. Geophys. Res. 116, D15107 (2011).ADS 

    Google Scholar 
    Anderson, M. C., Norman, J. M., Mecikalski, J. R., Otkin, J. A. & Kustas, W. P. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 2. Surface moisture climatology. J. Geophys. Res. 112, D11112 (2007).ADS 

    Google Scholar 
    Scherrer, D., Bader, M. K.-F. & Körner, C. Drought-sensitivity ranking of deciduous tree species based on thermal imaging of forest canopies. Agr. Forest. Meteorol. 151, 1632–1640 (2011).ADS 

    Google Scholar 
    Duveiller, G. et al. A spatially downscaled sun-induced fluorescence global product for enhanced monitoring of vegetation productivity. Earth Syst. Sci. Data 12, 1101–1116 (2020).ADS 

    Google Scholar 
    Zhang, Y. et al. A global moderate resolution dataset of gross primary production of vegetation for 2000–2016. Sci. Data 4, 170165 (2017).PubMed 
    PubMed Central 

    Google Scholar 
    Chen, T. & Guestrin, C. in Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 785-794 (Association for Computing Machinery).Hengl, T. et al. SoilGrids250m: Global gridded soil information based on machine learning. PLOS ONE 12, e0169748 (2017).PubMed 
    PubMed Central 

    Google Scholar 
    Li, Y., Li, M., Li, C. & Liu, Z. Forest aboveground biomass estimation using Landsat 8 and Sentinel-1A data with machine learning algorithms. Sci. Rep. 10, 9952 (2020).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Tan, W., Wei, C., Lu, Y. & Xue, D. Reconstruction of All-Weather Daytime and Nighttime MODIS Aqua-Terra Land Surface Temperature Products Using an XGBoost Approach. Remote Sens. 13, 4723 (2021).ADS 

    Google Scholar 
    Adnan, M., Alarood, A. A. S., Uddin, M. I. & Ur Rehman, I. Utilizing grid search cross-validation with adaptive boosting for augmenting performance of machine learning models. PeerJ Comput. Sci. 8, e803 (2022).PubMed 
    PubMed Central 

    Google Scholar 
    Chen, X. A long-term reconstructed TROPOMI solar-induced fluorescence dataset using machine learning algorithms. figshare https://doi.org/10.6084/m9.figshare.19336346.v2 (2022).Guanter, L. et al. Global and time-resolved monitoring of crop photosynthesis with chlorophyll fluorescence. Proc. Natl. Acad. Sci. 111, E1327–E1333 (2014).CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Pierrat, Z. et al. Diurnal and seasonal dynamics of solar‐induced chlorophyll fluorescence, vegetation indices, and gross primary productivity in the boreal forest. J. Geophys. Res. Biogeosci., e2021JG006588 (2022).Magney, T. S. et al. Mechanistic evidence for tracking the seasonality of photosynthesis with solar-induced fluorescence. Proc. Natl. Acad. Sci. 116, 11640–11645 (2019).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Grossmann, K. et al. PhotoSpec: A new instrument to measure spatially distributed red and far-red Solar-Induced Chlorophyll Fluorescence. Remote Sens. Environ. 216, 311–327 (2018).ADS 

    Google Scholar 
    Li, Z. et al. Solar-induced chlorophyll fluorescence and its link to canopy photosynthesis in maize from continuous ground measurements. Remote Sens. Environ. 236, 111420 (2020).ADS 

    Google Scholar 
    Magney, T. S. et al. Mechanistic evidence for tracking the seasonality of photosynthesis with solar-induced fluorescence. Proc. Natl. Acad. Sci. 201900278 (2019).Wei, X., Wang, X., Wei, W. & Wan, W. Use of Sun-Induced Chlorophyll Fluorescence Obtained by OCO-2 and GOME-2 for GPP Estimates of the Heihe River Basin, China. Remote Sens. 10, 2039 (2018).ADS 

    Google Scholar 
    Walther, S. et al. Satellite chlorophyll fluorescence measurements reveal large‐scale decoupling of photosynthesis and greenness dynamics in boreal evergreen forests. Global. Change. Biol. 22, 2979–2996 (2016).ADS 

    Google Scholar 
    Köhler, P., Guanter, L. & Joiner, J. A linear method for the retrieval of sun-induced chlorophyll fluorescence from GOME-2 and SCIAMACHY data. Atmos. Meas. Tech. 8, 2589–2608 (2015).
    Google Scholar 
    Parazoo, N. C. et al. Towards a Harmonized Long‐Term Spaceborne Record of Far‐Red Solar‐Induced Fluorescence. J. Geophys. Res. Biogeosci. 124, 2518–2539 (2019).
    Google Scholar 
    Pastorello, G. et al. The FLUXNET2015 dataset and the ONEFlux processing pipeline for eddy covariance data. Sci. Data 7 (2020).Reichstein, M. et al. On the separation of net ecosystem exchange into assimilation and ecosystem respiration: review and improved algorithm. Global. Change. Biol. 11, 1424–1439 (2005).ADS 

    Google Scholar 
    Lasslop, G. et al. Separation of net ecosystem exchange into assimilation and respiration using a light response curve approach: critical issues and global evaluation. Global. Change. Biol. 16, 187–208 (2010).ADS 

    Google Scholar 
    Chen, C. et al. China and India lead in greening of the world through land-use management. Nat. Sustain. 2, 122–129 (2019).PubMed 
    PubMed Central 

    Google Scholar 
    Tong, X. et al. Increased vegetation growth and carbon stock in China karst via ecological engineering. Nat. Sustain. 1, 44–50 (2018).
    Google Scholar 
    Miettinen, J., Shi, C. & Liew, S. C. Deforestation rates in insular Southeast Asia between 2000 and 2010. Global. Change. Biol. 17, 2261–2270 (2011).ADS 

    Google Scholar 
    De, S. V. et al. Land use patterns and related carbon losses following deforestation in South America. Environ. Res. Lett. 10, 124004 (2015).ADS 

    Google Scholar 
    Huete, A. et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens. Environ. 83, 195–213 (2002).ADS 

    Google Scholar 
    Still, C. J., Berry, J. A., Collatz, G. J. & Defries, R. S. ISLSCP II C4 Vegetation Percentage, ORNL Distributed Active Archive Center, https://doi.org/10.3334/ORNLDAAC/932 (2009).Pierrat, Z. & Stutz, J. Tower-based solar-induced fluorescence and vegetation index data for Southern Old Black Spruce forest, Zenodo, https://doi.org/10.5281/ZENODO.5884643 (2022).Magney, T. et al. Canopy and needle scale fluorescence data from Niwot Ridge, Colorado 2017-2018, CaltechDATA, https://doi.org/10.22002/D1.1231 (2019).Wan, Z., Hook, S. & Hulley, G. MOD11C1 MODIS/Terra Land Surface Temperature/Emissivity Daily L3 Global 0.05Deg CMG V006, NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MOD11C1.006 (2015).Friedl, M. & Sulla-Menashe, D. MCD12C1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 0.05Deg CMG V006, NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MCD12C1.006 (2015).Schaaf, C. & Wang, Z. MCD43C4 MODIS/Terra+Aqua BRDF/Albedo Nadir BRDF-Adjusted Ref Daily L3 Global 0.05Deg CMG V006, NASA EOSDIS Land Processes DAAC, https://doi.org/10.5067/MODIS/MCD43C4.006 (2015).Doelling, D. CERES Level 3 SYN1DEG-DAYTerra+Aqua HDF4 file – Edition 4A, NASA Langley Atmospheric Science Data Center DAAC, https://doi.org/10.5067/TERRA+AQUA/CERES/SYN1DEGDAY_L3.004A (2017). More

  • in

    Repatriation of a historical North Atlantic right whale habitat during an era of rapid climate change

    Descamps, S. et al. Diverging phenological responses of Arctic seabirds to an earlier spring. Glob. Change Biol. 25, 4081–4091 (2019).ADS 
    Article 

    Google Scholar 
    Ramp, C., Delarue, J., Palsbøll, P. J., Sears, R. & Hammond, P. S. Adapting to a warmer ocean—seasonal shift of baleen whale movements over three decades. PLoS ONE 10, e0121374 (2015).PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Insley, S. J., Halliday, W. D., Mouy, X. & Diogou, N. Bowhead whales overwinter in the Amundsen Gulf and Eastern Beaufort Sea. R. Soc. Open Sci. 8, 1 (2021).Article 

    Google Scholar 
    Heide-Jørgensen, M. P., Laidre, K. L., Quakenbush, L. T. & Citta, J. J. The Northwest Passage opens for bowhead whales. Biol. Lett. 8, 270–273 (2012).PubMed 
    Article 

    Google Scholar 
    Durant, J., Hjermann, D., Ottersen, G. & Stenseth, N. Climate and the match or mismatch between predator requirements and resource availability. Clim. Res. 33, 271–283 (2007).Article 

    Google Scholar 
    Staudinger, M. D. et al. It’s about time: A synthesis of changing phenology in the Gulf of Maine ecosystem. Fish. Oceanogr. 28, 532–566 (2019).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Miller-Rushing, A. J., Høye, T. T., Inouye, D. W. & Post, E. The effects of phenological mismatches on demography. Philos. Trans. R. Soc. B Biol. Sci. 365, 3177–3186 (2010).Article 

    Google Scholar 
    Edwards, M. & Richardson, A. J. Impact of climate change on marine pelagic phenology and trophic mismatch. Nature 430, 881–884 (2004).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Record, N. et al. Rapid climate-driven circulation changes threaten conservation of endangered North Atlantic right whales. Oceanography 32, 1 (2019).Article 

    Google Scholar 
    MacLeod, C. Global climate change, range changes and potential implications for the conservation of marine cetaceans: a review and synthesis. Endanger. Species Res. 7, 125–136 (2009).Article 

    Google Scholar 
    Learmonth, J. A. et al. Potential effects of climate change on marine mammals. Oceanogr. Mar. Biol. Annu. Rev. 44, 431–464 (2006).
    Google Scholar 
    Pinsky, M. L., Worm, B., Fogarty, M. J., Sarmiento, J. L. & Levin, S. A. Marine taxa track local climate velocities. Science 341, 1239–1242 (2013).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Pershing, A. J. et al. Slow adaptation in the face of rapid warming leads to collapse of the Gulf of Maine cod fishery. Science 350, 809–812 (2015).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Gulf of Maine Research Institute. Gulf of Maine Warming Update: 2021 the Hottest Year on Record. (2022).Saba, V. S. et al. Enhanced warming of the Northwest Atlantic Ocean under climate change. J. Geophys. Res. Oceans 121, 118–132 (2016).ADS 
    Article 

    Google Scholar 
    Friedland, K. D. et al. Trends and change points in surface and bottom thermal environments of the US Northeast Continental Shelf Ecosystem. Fish. Oceanogr. 29, 396–414 (2020).Article 

    Google Scholar 
    Nye, J., Link, J., Hare, J. & Overholtz, W. Changing spatial distribution of fish stocks in relation to climate and population size on the Northeast United States continental shelf. Mar. Ecol. Prog. Ser. 393, 111–129 (2009).ADS 
    Article 

    Google Scholar 
    Kress, S. W., Shannon, P. & O’Neal, C. Recent changes in the diet and survival of Atlantic puffin chicks in the face of climate change and commercial fishing in midcoast Maine, USA. FACETS 1, 27–43 (2017).Article 

    Google Scholar 
    Davis, G. E. et al. Exploring movement patterns and changing distributions of baleen whales in the western North Atlantic using a decade of passive acoustic data. Glob. Change Biol. 26, 4812–4840 (2020).ADS 
    Article 

    Google Scholar 
    Pace, R. M., Corkeron, P. J. & Kraus, S. D. State-space mark-recapture estimates reveal a recent decline in abundance of North Atlantic right whales. Ecol. Evol. 7, 8730–8741 (2017).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Meyer-Gutbrod, E. L. & Greene, C. H. Uncertain recovery of the North Atlantic right whale in a changing ocean. Glob. Change Biol. 24, 455–464 (2018).ADS 
    Article 

    Google Scholar 
    Sorochan, K. A. et al. North Atlantic right whale (Eubalaena glacialis) and its food: (II) interannual variations in biomass of Calanus spp. on western North Atlantic shelves. J. Plankton Res. 41, 687–708 (2019).Article 

    Google Scholar 
    Friedland, K. D. et al. Spring bloom dynamics and zooplankton biomass response on the US Northeast Continental Shelf. Cont. Shelf Res. 102, 47–61 (2015).ADS 
    Article 

    Google Scholar 
    Meyer-Gutbrod, E., Greene, C., Davies, K. & Johns, D. Ocean regime shift is driving collapse of the North Atlantic right whale population. Oceanography 34, 22–31 (2021).Article 

    Google Scholar 
    Knowlton, A., Hamilton, P., Marx, M., Pettis, H. & Kraus, S. Monitoring North Atlantic right whale Eubalaena glacialis entanglement rates: A 30 yr retrospective. Mar. Ecol. Prog. Ser. 466, 293–302 (2012).ADS 
    Article 

    Google Scholar 
    Davies, K. T. A. & Brillant, S. W. Mass human-caused mortality spurs federal action to protect endangered North Atlantic right whales in Canada. Mar. Policy 104, 157–162 (2019).Article 

    Google Scholar 
    Kraus, S. D. & Rolland, R. M. Right whales in the urban ocean. in The urban whale: North Atlantic right whales at the crossroads 1–38 (Harvard University Press, 2010). https://doi.org/10.2307/j.ctv1pnc1q9.Winn, H. E., Price, C. A. & Sorensen, P. W. The distributional biology of the right whale (Eubalaena glacialis) in the western North Atlantic. Rep. Int. Whal. Comm. Spec. 10, 129–138 (1986).
    Google Scholar 
    Mayo, C. A. & Marx, M. K. Surface foraging behaviour of the North Atlantic right whale, Eubalaena glacialis, and associated zooplankton characteristics. Can. J. Zool. 68, 2214–2220 (1990).Article 

    Google Scholar 
    Mayo, C. A. et al. Distribution, demography, and behavior of North Atlantic right whales (Eubalaena glacialis) in Cape Cod Bay, Massachusetts, 1998–2013. Mar. Mammal Sci. 34, 979–996 (2018).Article 

    Google Scholar 
    Pendleton, D. E. et al. Regional-scale mean copepod concentration indicates relative abundance of North Atlantic right whales. Mar. Ecol. Prog. Ser. 378, 211–225 (2009).ADS 
    Article 

    Google Scholar 
    Kenney, R. D., Winn, H. E. & Macaulay, M. C. Cetaceans in the Great South Channel, 1979–1989: right whale (Eubalaena glacialis). Cont. Shelf Res. 15, 385–414 (1995).ADS 
    Article 

    Google Scholar 
    Brown, M. W. et al. Recovery strategy for the North Atlantic right whale (Eubalaena glacialis) in Atlantic Canadian waters. in Species at risk act recovery strategy series (Fisheries and Oceans Canada, 2009).Weinrich, M. T., Kenney, R. D. & Hamilton, P. K. Right whales (Eubalaena glacialis) on Jeffreys Ledge: a habitat of unrecognized importance?. Mar. Mammal Sci. 16, 326–337 (2000).Article 

    Google Scholar 
    Cole, T. et al. Evidence of a North Atlantic right whale Eubalaena glacialis mating ground. Endanger. Species Res. 21, 55–64 (2013).Article 

    Google Scholar 
    Ganley, L., Brault, S. & Mayo, C. What we see is not what there is: estimating North Atlantic right whale Eubalaena glacialis local abundance. Endanger. Species Res. 38, 101–113 (2019).Article 

    Google Scholar 
    Simard, Y., Roy, N., Giard, S. & Aulanier, F. North Atlantic right whale shift to the Gulf of St. Lawrence in 2015, revealed by long-term passive acoustics. Endanger. Species Res. 40, 271–284 (2019).Article 

    Google Scholar 
    Leiter, S. et al. North Atlantic right whale Eubalaena glacialis occurrence in offshore wind energy areas near Massachusetts and Rhode Island, USA. Endanger. Species Res. 34, 45–59 (2017).Article 

    Google Scholar 
    Stone, K. M. et al. Distribution and abundance of cetaceans in a wind energy development area offshore of Massachusetts and Rhode Island. J. Coast. Conserv. 21, 527–543 (2017).Article 

    Google Scholar 
    Vanderlaan, A., Taggart, C., Serdynska, A., Kenney, R. & Brown, M. Reducing the risk of lethal encounters: Vessels and right whales in the Bay of Fundy and on the Scotian Shelf. Endanger. Species Res. 4, 283–297 (2008).Article 

    Google Scholar 
    National Marine Fisheries Service. Endangered and threatened species; critical habitat for endangered North Atlantic right whale. Fed. Regist. 80, 9314–9345 (2015).
    Google Scholar 
    National Marine Fisheries Service. Taking of marine mammals incidental to commercial fishing operations; Atlantic large whale take reduction plan regulations; Atlantic coastal fisheries cooperative management act provisions; American lobster fishery. Fed. Regist. 85, 86878–86900 (2020).
    Google Scholar 
    Reeves, R. R., Breiwick, J. M. & Mitchell, E. D. History of whaling and estimated kill of right whales, Balaena glacialis, in the Northeastern United States, 1620–1924. Mar. Fish. Rev. 36, 1 (1999).
    Google Scholar 
    Allen, G. M. The whalebone whales of New England. Mem. Boston Soc. Nat. Hist. 8, 107–322 (1915).ADS 

    Google Scholar 
    CETAP (Cetacean and Turtle Assessment Program). A characterization of marine mammals and turtles in the mid- and North- Atlantic areas of the U.S. Outer Continental Shelf, final report. (1982).Kenney, R. D. & Vigness-Raposa, K. J. Marine mammals and sea turtles of Narragansett Bay, Block Island Sound, Rhode Island Sound, and nearby waters: An analysis of existing data for the Rhode Island Ocean Special Area Management Plan. in Rhode Island Ocean Special Area Management Plan; Volume 2 Appendix A: Technical Reports for the Rhode Island Ocean Special Area Management Plan. 701–1037 (Rhode Island Coastal Resources Management Council, Wakefield, RI, 2010).Pendleton, D. et al. Weekly predictions of North Atlantic right whale Eubalaena glacialis habitat reveal influence of prey abundance and seasonality of habitat preferences. Endanger. Species Res. 18, 147–161 (2012).MathSciNet 
    Article 

    Google Scholar 
    Kraus, S. D., Kenney, R. D. & Thomas, L. A framework for studying the effects of offshore wind development on marine mammals and turtles. (2019). Report prepared for the Massachusetts Clean Energy Center, Boston, MA, and the Bureau of Ocean Energy Management, Office of Renewable Energy Programs, Sterling, VA. Anderson Cabot Center for Ocean Life, New England Aquarium, Boston, MA. 48 pp.Quintana-Rizzo, E. et al. Residency, demographics, and movement patterns of North Atlantic right whales Eubalaena glacialis in an offshore wind energy development area in southern New England, USA. Endanger. Species Res. 45, 251–268 (2021).Article 

    Google Scholar 
    Taylor, J. K. D., Kenney, R. D., LeRoi, D. J. & Kraus, S. D. Automated vertical photography for detecting pelagic species in multitaxon aerial surveys. Mar. Technol. Soc. J. 48, 36–48 (2014).Article 

    Google Scholar 
    Hamilton, P. K., Knowlton, A. R. & Marx, M. K. Right whales tell their own stories: the photo-identification catalog. in The urban whale: North Atlantic right whales at the crossroads 75–104 (Harvard University Press, 2010).Buckland, S. T., Anderson, D. R., Burnham, K. P. & Laake, J. L. Distance sampling: Estimating abundance of biological populations Vol. 50 (Chapman and Hall, 1993).MATH 
    Book 

    Google Scholar 
    R: The R Project for Statistical Computing. https://www.r-project.org/.Miller, D. L., Rexstad, E., Thomas, L., Marshall, L. & Laake, J. L. Distance Sampling in R. J. Stat. Softw. 89, 1–28 (2019).Article 

    Google Scholar 
    Eberhardt, L. L., Chapman, D. G. & Gilbert, J. R. A review of marine mammal census methods. Wildl. Monogr. 1, 3–46 (1979).
    Google Scholar 
    Durant, S. M. et al. Long-term trends in carnivore abundance using distance sampling in Serengeti National Park, Tanzania: Serengeti carnivore trends. J. Appl. Ecol. 48, 1490–1500 (2011).Article 

    Google Scholar 
    Reeves, R. R. & Mitchell, E. The Long Island, New York, right whale fishery: 1650–1924. Rep. Int. Whal. Comm. 10, 201–220 (1986).
    Google Scholar 
    Davis, G. E. et al. Long-term passive acoustic recordings track the changing distribution of North Atlantic right whales (Eubalaena glacialis) from 2004 to 2014. Sci. Rep. 7, 13460 (2017).ADS 
    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Jackson, J. et al. Have whales returned to a historical hotspot of industrial whaling? The pattern of southern right whale Eubalaena australis recovery at South Georgia. Endanger. Species Res. 43, 323–339 (2020).Article 

    Google Scholar 
    Carroll, E. L. et al. Reestablishment of former wintering grounds by New Zealand southern right whales. Mar. Mammal Sci. 30, 206–220 (2014).Article 

    Google Scholar 
    Charlton, C. et al. Southern right whales (Eubalaena australis) return to a former wintering calving ground: Fowlers Bay, South Australia. Mar. Mammal Sci. 35, 1438–1462 (2019).Article 

    Google Scholar 
    Garrigue, C. et al. Searching for humpback whales in a historical whaling hotspot of the Coral Sea, South Pacific. Endanger. Species Res. 42, 67–82 (2020).Article 

    Google Scholar 
    Clapham, P. J., Aguilar, A. & Hatch, L. T. Determining spatial and temporal scales for management: lessons from whaling. Mar. Mammal Sci. 24, 183–201 (2008).Article 

    Google Scholar 
    Watkins, W. A. & Schevill, W. E. Right whale feeding and baleen rattle. J. Mammal. 57, 58–66 (1976).Article 

    Google Scholar 
    Beardsley, R. C. et al. Spatial variability in zooplankton abundance near feeding right whales in the Great South Channel.. Deep Sea Res Part II Top. Stud. Oceanogr. 43, 1601–1625 (1996).ADS 
    Article 

    Google Scholar 
    Wishner, K. F. et al. Copepod patches and right whales in the Great South Channel off New England. Bull. Mar. Sci. 43, 825–844 (1988).ADS 

    Google Scholar 
    Baumgartner, M., Cole, T., Clapham, P. & Mate, B. North Atlantic right whale habitat in the lower Bay of Fundy and on the SW Scotian Shelf during 1999–2001. Mar. Ecol. Prog. Ser. 264, 137–154 (2003).ADS 
    Article 

    Google Scholar 
    Moore, M. J. & van der Hoop, J. M. The painful side of trap and fixed net fisheries: Chronic entanglement of large whales. J. Mar. Biol. 2012, 1–4 (2012).Article 

    Google Scholar  More

  • in

    Net greenhouse gas balance with cover crops in semi-arid irrigated cropping systems

    United Nations Framework Convention on Climate Change (UNFCCC). The Paris Agreement. https://unfccc.int/process-and-meetings/the-paris-agreement/the-paris-agreement (2015). Accessed on 16 Dec 2021.Tubiello, F. N. et al. The contribution of agriculture, forestry and other land use activities to global warming, 1990–2012. Glob. Change Biol. 21(7), 2655–2660 (2015).ADS 
    Article 

    Google Scholar 
    Frank, S. et al. Agricultural non-CO2 emission reduction potential in the context of the 15 °C target. Nat. Clim. Change 9(1), 66–72 (2019).ADS 
    CAS 
    Article 

    Google Scholar 
    Crippa, M. et al. Food systems are responsible for a third of global anthropogenic GHG emissions. Nat. Food 2, 198–209 (2021).CAS 
    Article 

    Google Scholar 
    Hong, C. et al. Global and regional drivers of land-use emissions in 1961–2017. Nature 589, 554–561 (2021).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Tubiello, F. N. et al. Greenhouse gas emissions from food systems: Building the evidence base. Environ. Res. Lett. 16, 065007 (2021).ADS 
    CAS 
    Article 

    Google Scholar 
    Smith, P. et al. Agriculture, forestry and other land use (AFOLU). In Climate Change 2014: Mitigation of Climate Change. Contribution of Working Group III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change (eds Edenhofer, O. et al.) (Cambridge University Press, 2014).
    Google Scholar 
    Schlesinger, W. H. & Andrews, J. A. Soil respiration and the global carbon cycle. Biogeochemistry 78, 7–20 (2000).Article 

    Google Scholar 
    Smith, K. A. & Conen, F. Impacts of land management on fluxes of trace greenhouse gases. Soil Use Manage. 20, 245–253 (2004).
    Google Scholar 
    Foley, J. A. et al. Solutions for a cultivated planet. Nature 478, 337–342 (2011).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Jones, S. K. et al. Nitrous oxide emissions from managed grassland: A comparison of eddy covariance and static chamber measurements. Atmos. Meas. Tech. 4, 2179–2194 (2011).CAS 
    Article 

    Google Scholar 
    Chapuis‐Lardy, L., Wrage, N., Metay, A., Chotte, J. L. & Bernoux, M. Soils, a sink for N2O? A review. Glob. Change Biol. 13, 1–17 (2007).ADS 
    Article 

    Google Scholar 
    Sanz-Cobena, A. et al. Do cover crops enhance N2O, CO2 or CH4 emissions from soil in Mediterranean arable systems? Sci. Total Environ. 466, 164–174 (2014).ADS 
    PubMed 
    Article 
    CAS 

    Google Scholar 
    Kaye, J. P. & Quemada, M. Using cover crops to mitigate and adapt to climate change. A review. Agron. Sustain. Dev. 37(1), 1–17 (2017).Article 

    Google Scholar 
    Poeplau, C. & Don, A. Carbon sequestration in agricultural soils via cultivation of cover crops—A meta-analysis. Agric. Ecosyst. Environ. 200, 33–41 (2015).CAS 
    Article 

    Google Scholar 
    Guardia, G. et al. Effective climate change mitigation through cover cropping and integrated fertilization: A global warming potential assessment from a 10-year field experiment. J Clean. Prod. 241, 118307 (2019).CAS 
    Article 

    Google Scholar 
    Osipitan, O. A., Dille, J. A., Assefa, Y. & Knezevic, S. Z. Cover crop for early season weed suppression in crops: Systematic review and meta-analysis. Agron. J. 110(6), 2211–2221 (2018).Article 

    Google Scholar 
    Thapa, R., Mirsky, S. B. & Tully, K. L. Cover crops reduce nitrate leaching in agroecosystems: A global meta-analysis. J. Environ. Qual. 47(6), 1400–1411 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    Snapp, S. S. et al. Evaluating cover crops for benefits, costs and performance within cropping system niches. Agron. J. 97, 322–332 (2005).Article 

    Google Scholar 
    Reicks, G. W. et al. Winter cereal rye cover crop decreased nitrous oxide emissions during early spring. Agron. J. 113, 3900–3909 (2021).CAS 
    Article 

    Google Scholar 
    Behnke, G. D. & Villamil, M. B. Cover crop rotations affect greenhouse gas emissions and crop production in Illinois, USA. Field Crops Res. 241, 107580 (2019).Article 

    Google Scholar 
    Blanco-Canqui, H., Holman, J. D., Schlegel, A. J., Tatarko, J. & Shaver, T. M. Replacing fallow with cover crops in a semi-arid soil: Effects on soil properties. Soil Sci. Soc. Am. J. 77, 1026–1034 (2013).ADS 
    CAS 
    Article 

    Google Scholar 
    Basche, A. D., Miguez, F. E., Kaspar, T. C. & Castellano, M. J. Do cover crops increase or decrease nitrous oxide emissions? A meta-analysis. J. Soil Water Conserv. 69, 471–482 (2014).Article 

    Google Scholar 
    Smith, P. et al. Greenhouse gas mitigation in agriculture. Philos. Trans. R. Soc. B 363, 789–813 (2008).CAS 
    Article 

    Google Scholar 
    Finney, D. M., White, C. M. & Kaye, J. P. Biomass production and carbon nitrogen ratio influence ecosystem services from cover crop mixtures. Agron. J. 108, 39–52 (2016).CAS 
    Article 

    Google Scholar 
    Drost, S. M., Rutgers, M., Wouterse, M., De Boer, W. & Bodelier, P. L. Decomposition of mixtures of cover crop residues increases microbial functional diversity. Geoderma 361, 114060 (2020).ADS 
    CAS 
    Article 

    Google Scholar 
    Thapa, V. R., Ghimire, R., Acosta-Martínez, V., Marsalis, M. A. & Schipanski, M. E. Cover crop biomass and species composition affect soil microbial community structure and enzyme activities in semi-arid cropping systems. Appl. Soil Ecol. 157, 103735 (2021).Article 

    Google Scholar 
    Muhammad, I. et al. Regulation of soil CO2 and N2O emissions by cover crops: A meta-analysis. Soil Till. Res. 192, 103–112 (2019).Article 

    Google Scholar 
    Sarkodie-Addo, J., Lee, H. C. & Baggs, E. M. Nitrous oxide emissions after application of inorganic fertilizer and incorporation of green manure residues. Soil Use Manage. 19, 331–339 (2006).Article 

    Google Scholar 
    Guardia, G. et al. Effect of cover crops on greenhouse gas emissions in an irrigated field under integrated soil fertility management. Biogeosciences 13, 5245–5257 (2016).ADS 
    CAS 
    Article 

    Google Scholar 
    Mitchell, D. C., Castellano, M. J., Sawyer, J. E. & Pantoja, J. Cover crop effects on nitrous oxide emissions: Role of mineralizable carbon. Soil Sci. Soc. Am. J. 77, 1765 (2013).ADS 
    CAS 
    Article 

    Google Scholar 
    Bodner, G., Mentler, A., Klik, A., Kaul, H. P. & Zechmeister-Boltenstern, S. Do cover crops enhance soil greenhouse gas losses during high emission moments under temperate Central Europe conditions? Die Bodenkult J. Land Manage. Food Environ. 68, 171–187 (2018).Article 
    CAS 

    Google Scholar 
    Álvaro-Fuentes, J., Easter, M. & Paustian, K. Climate change effects on organic carbon storage in agricultural soils of northeastern Spain. Agric. Ecosyst. Environ. 155, 87–94 (2012).Article 
    CAS 

    Google Scholar 
    Bronson, K. F. et al. Carbon and nitrogen pools of southern High Plains cropland and grassland soils. Soil Sci. Soc. Am. J. 68, 1695–1704 (2004).ADS 
    CAS 
    Article 

    Google Scholar 
    Zhou, X., Talley, M. & Luo, Y. Biomass, litter and soil respiration along a precipitation gradient in Southern Great Plains, USA. Ecosystems 12, 1369–1380 (2009).CAS 
    Article 

    Google Scholar 
    Poulter, B. et al. Contribution of semi-arid ecosystems to interannual variability of the global carbon cycle. Nature 509, 600–603 (2014).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Ahlström, A. et al. The dominant role of semi-arid ecosystems in the trend and variability of the land CO2 sink. Science 348, 895–899 (2015).ADS 
    PubMed 
    Article 
    CAS 

    Google Scholar 
    Huang, J., Yu, H., Guan, X., Wang, G. & Guo, R. Accelerated dryland expansion under climate change. Nat. Clim. Change 6, 166–171 (2016).ADS 
    Article 

    Google Scholar 
    Antosh, E., Idowu, J., Schutte, B. & Lehnhoff, E. Winter cover crops effects on soil properties and sweet corn yield in semi-arid irrigated systems. Agron. J. 112, 92–106 (2020).Article 

    Google Scholar 
    Paye, W. S. et al. Cover crop water use and corn silage production in semi-arid irrigated conditions. Agric. Water Manage. 260, 107275 (2022).Article 

    Google Scholar 
    Paye, W. S., Acharya, P. & Ghimire, R. Water productivity of forage sorghum in response to winter cover crops in semi-arid irrigated conditions. Field Crops Res. 283, 108552 (2022).Article 

    Google Scholar 
    Garba, I. I., Bell, L. W. & Williams, A. Cover crop legacy impacts on soil water and nitrogen dynamics, and on subsequent crop yields in drylands: A meta-analysis. Agron. Sustain. Dev. 42(3), 1–21 (2022).Article 
    CAS 

    Google Scholar 
    Gabriel, J. L., Muñoz-Carpena, R. & Quemada, M. The role of cover crops in irrigated systems: Water balance, nitrate leaching and soil mineral nitrogen accumulation. Agric. Ecosyst. Environ. 155, 50–61 (2012).CAS 
    Article 

    Google Scholar 
    Trost, B. et al. Irrigation, soil organic carbon and N2O emissions. A review. Agron. Sustain Dev. 33, 733–749 (2013).CAS 
    Article 

    Google Scholar 
    Nilahyane, A., Ghimire, R., Thapa, V. R. & Sainju, U. M. Cover crop effects on soil carbon dioxide emissions in a semiarid cropping system. Agrosyst. Geosci. Environ. 3, e20012 (2020).
    Google Scholar 
    Thapa, V. R., Ghimire, R., Duval, B. D. & Marsalis, M. A. Conservation systems for positive net ecosystem carbon balance in semi-arid drylands. Agrosyst. Geosci. Environ. 2, 1–8 (2019).Article 

    Google Scholar 
    Abdalla, M. et al. A critical review of the impacts of cover crops on nitrogen leaching, net greenhouse gas balance and crop productivity. Glob. Change Biol. 25(8), 2530–2543 (2019).ADS 
    Article 

    Google Scholar 
    Larionova, A. A., Sapronov, D. V., de Gerenyu, V. L., Kuznetsova, L. G. & Kudeyarov, V. N. Contribution of plant root respiration to the CO2 emission from soil. Eurasian Soil Sci. 39, 1127–1135 (2006).ADS 
    Article 

    Google Scholar 
    Hanson, P. J., Edwards, N. T., Garten, C. T. & Andrews, J. A. Separating root and soil microbial contributions to soil respiration: A review of methods and observations. Biogeochemistry 48, 115–146 (2000).CAS 
    Article 

    Google Scholar 
    Rochette, P., Flanagan, L. B. & Gregorich, E. G. Separating soil respiration into plant and soil components using analyses of the natural abundance of carbon-13. Soil Sci. Soc. Am. J. 63, 1207–1213 (1999).ADS 
    CAS 
    Article 

    Google Scholar 
    Sainju, U. M., Jabro, J. D. & Stevens, W. B. Soil carbon dioxide emission and carbon content as affected by irrigation, tillage, cropping system, and nitrogen fertilization. J. Environ. Qual. 37, 98–106 (2008).CAS 
    PubMed 
    Article 

    Google Scholar 
    Mosier, A. R., Halvorson, A. D., Reule, C. A. & Liu, X. J. Net global warming potential and greenhouse gas intensity in irrigated cropping systems in northeastern Colorado. J. Environ. Qual. 35, 1584–1598 (2006).CAS 
    PubMed 
    Article 

    Google Scholar 
    Fan, J. et al. Stover retention rather than no-till decreases the global warming potential of rainfed continuous maize cropland. Field Crops Res. 219, 14–23 (2018).Article 

    Google Scholar 
    USDA Soil Survey Staff. Web Soil Survey. http://websoilsurvey.sc.egov.usda.gov/App/WebSoilSurvey.aspx (2022). Accessed on 23 Jan 2022.Zibilske, L. M. Carbon mineralization. In Methods of Soil Analysis: Part 2. Microbiological and Biochemical Properties (eds Weaver, R. W. et al.). https://doi.org/10.2136/sssabookser5.2.c38 (Soil Science Society of America Journal, 1994).Chapter 

    Google Scholar 
    Sainju, U. M. Net global warming potential, and greenhouse gas intensity. Soil Sci. Soc. Am. J. 84, 1393–1404 (2020).ADS 
    CAS 
    Article 

    Google Scholar 
    Lal, R. Carbon emission from farm operations. Environ. Int. 30, 981–990 (2004).CAS 
    PubMed 
    Article 

    Google Scholar 
    Haile-Mariam, S., Collins, H. P. & Higgins, S. S. Greenhouse gas fluxes from an irrigated sweet corn (Zea mays L.)–potato (Solanum tuberosum L.) rotation. J. Environ. Qual. 37(3), 759–771 (2008).CAS 
    PubMed 
    Article 

    Google Scholar  More

  • in

    Clearance and persistence of Escherichia coli in the freshwater mussel Unio mancus

    Galvani, A. P., Bauch, C. T., Anand, M., Singer, B. H. & Levin, S. A. Human–environment interactions in population and ecosystem health. Proc. Natl. Acad. Sci. U. S. A. 113, 14502–14506 (2016).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    WHO Director-General. Health, environment and climate change. Draft WHO global strategy on health, environment and climate change: The transformation needed to improve lives and well-being sustainably through healthy environments. vol. 18 https://apps.who.int/gb/ebwha/pdf_files/WHA72/A72_15-en.pdf?ua=1 (2019).Queenan, K., Häsler, B. & Rushton, J. A One Health approach to antimicrobial resistance surveillance: Is there a business case for it?. Int. J. Antimicrob. Agents 48, 422–427 (2016).CAS 
    PubMed 
    Article 

    Google Scholar 
    Aslam, B. et al. Antibiotic resistance: A rundown of a global crisis. Infect. Drug Resist. 11, 1645–1658 (2018).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Walsh, T. R. A one-health approach to antimicrobial resistance. Nat. Microbiol. 3, 854–855 (2018).CAS 
    PubMed 
    Article 

    Google Scholar 
    Taylor, L. H., Latham, S. M. & Woolhouse, M. E. J. Risk factors for human disease emergence. Philos. Trans. R. Soc. B Biol. Sci. 356, 983–989 (2001).CAS 
    Article 

    Google Scholar 
    Kruse, H., Kirkemo, A. M. & Handeland, K. Wildlife as source of zoonotic infections. Emerg. Infect. Dis. 10, 2067–2072 (2004).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Evans, T. et al. Links between ecological integrity, emerging infectious diseases and other aspects of human health—An overview of the literature. https://wcs.org (2020).Rabinowitz, P. M., Cullen, M. R. & Lake, H. R. Wildlife as sentinels for human health hazards: A review of study designs. J. Environ. Med. 1, 217–223 (1999).Article 

    Google Scholar 
    Rabinowitz, P. M. et al. Animals as sentinels of human environmental health hazards: An evidence-based analysis. EcoHealth 2, 26–37 (2005).Article 

    Google Scholar 
    Fox, G. A. Wildlife as sentinels of human health effects in the Great Lakes-St. Lawrence basin. Environ. Health Perspect. 109, 853–861 (2001).PubMed 
    PubMed Central 

    Google Scholar 
    Burket, S. R. et al. Corbicula fluminea rapidly accumulate pharmaceuticals from an effluent dependent urban stream. Chemosphere 224, 873–883 (2019).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Ricciardi, A. & Rasmussen, J. B. Extinction rates of North American freshwater fauna. Conserv. Biol. 13, 1220–1222 (1999).Article 

    Google Scholar 
    Ismail, N. S. et al. Improvement of urban lake water quality by removal of Escherichia coli through the action of the bivalve Anodonta californiensis. Environ. Sci. Technol. 49, 1664–1672 (2015).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Ismail, N. S., Tommerdahl, J. P., Boehm, A. B. & Luthy, R. G. Escherichia coli reduction by bivalves in an impaired river impacted by agricultural land use. Environ. Sci. Technol. 50, 11025–11033 (2016).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Burge, C. A. et al. The use of filter-feeders to manage disease in a changing world. Integr. Comp. Biol. 56, 573–587 (2016).PubMed 
    Article 

    Google Scholar 
    Aceves, A. K., Johnson, P., Bullard, S. A., Lafrentz, S. & Arias, C. R. Description and characterization of the digestive gland microbiome in the freshwater mussel Villosa nebulosa (Bivalvia: Unionidae). J. Molluscan Stud. 84, 240–246 (2018).Article 

    Google Scholar 
    Gu, J. D. & Mitchell, R. Indigenous microflora and opportunistic pathogens of the freshwater zebra mussel, Dreissena polymorpha. Hydrobiologia 474, 81–90 (2002).Article 

    Google Scholar 
    Gomes, J. F. et al. Biofiltration using C. fluminea for E. coli removal from water: Comparison with ozonation and photocatalytic oxidation. Chemosphere 208, 674–681 (2018).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Burkhardt, W. & Calci, K. R. Selective accumulation may account for shellfish-associated viral illness. Appl. Environ. Microbiol. 66, 1375–1378 (2000).ADS 
    CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Huyvaert, K. P. et al. Freshwater clams as bioconcentrators of avian influenza virus in water. Vector-Borne Zoonotic Dis. 12, 904–906 (2012).PubMed 
    Article 

    Google Scholar 
    Le Guyader, F. S. et al. Norwalk virus-specific binding to oyster digestive tissues. Emerg. Infect. Dis. 12, 931–936 (2006).PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Palos Ladeiro, M., Aubert, D., Villena, I., Geffard, A. & Bigot, A. Bioaccumulation of human waterborne protozoa by zebra mussel (Dreissena polymorpha): Interest for water biomonitoring. Water Res. 48, 148–155 (2014).CAS 
    PubMed 
    Article 

    Google Scholar 
    Palos Ladeiro, M., Bigot-Clivot, A., Aubert, D., Villena, I. & Geffard, A. Assessment of Toxoplasma gondii levels in zebra mussel (Dreissena polymorpha) by real-time PCR: An organotropism study. Environ. Sci. Pollut. Res. 22, 13693–13701 (2015).CAS 
    Article 

    Google Scholar 
    Mezzanotte, V. et al. Removal of enteric viruses and Escherichia coli from municipal treated effluent by zebra mussels. Sci. Total Environ. 539, 395–400 (2016).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Cope, W. G. et al. Differential exposure, duration, and sensitivity of unionoidean bivalve life stages to environmental contaminants. J. N. Am. Benthol. Soc. 27, 451–462 (2008).Article 

    Google Scholar 
    Diamond, J. M., Bressler, D. W. & Serveiss, V. B. Assessing relationships between human land uses and the decline of native mussels, fish, and macroinvertebrates in the Clinch and Powell river watershed, USA. Environ. Toxicol. Chem. 21, 1147–1155 (2002).CAS 
    PubMed 
    Article 

    Google Scholar 
    Augspurger, T., Dwyer, F. J., Ingersoll, C. G. & Kane, C. M. Advances and opportunities in assessing contaminant sensitivity of freshwater mussel (Unionidae) early life stages. Environ. Toxicol. Chem. 26, 2025–2028 (2007).CAS 
    PubMed 
    Article 

    Google Scholar 
    Lopes-Lima, M. & Seddon, M. B. Unio mancus. The IUCN Red List of Threatened Species 2014: e. T22737A42466471 (2014). https://doi.org/10.2305/IUCN.UK.2014-3.RLTS.T22737A42466471.en.Lydeard, C. et al. The global decline of nonmarine mollusks. Bioscience 54, 321–330 (2004).Article 

    Google Scholar 
    Strayer, D. L. et al. Changing perspectives on pearly Mussels, North America’s most imperiled. Animals 54, 429–439 (2004).
    Google Scholar 
    Araujo, R. et al. The naiads of the Iberian Peninsula. Iberus 27, 7–72 (2009).
    Google Scholar 
    Araujo, R. et al. Who wins in the weaning process? Juvenile feeding morphology of two freshwater mussel species. J. Morphol. 279, 4–16 (2018).PubMed 
    Article 

    Google Scholar 
    Hinzmann, M., Bessa, L. J., Teixeira, A., Da Costa, P. M. & Machado, J. Antimicrobial and antibiofilm activity of unionid mussels from the North of Portugal. J. Shellfish Res. 37, 121–129 (2018).Article 

    Google Scholar 
    Mo, C. & Neilson, B. Standardization of oyster soft tissue dry weight measurements. Water Res. 28, 243–246 (1994).CAS 
    Article 

    Google Scholar 
    Kryger, J. & Riisgård, H. U. Filtration rate capacities in 6 species of European freshwater bivalves. Oecologia 77, 34–38 (1988).ADS 
    PubMed 
    Article 

    Google Scholar 
    Ostrovsky, I., Gophen, M. & Kalikhman, I. Distribution, growth, production, and ecological significance of the clam Unio terminalis in Lake Kinneret, Israel. Hydrobiologia 271, 49–63 (1993).Article 

    Google Scholar 
    Møhlenberg, F. & Riisgård, H. U. Efficiency of particle retention in 13 species of suspension feeding bivalves. Ophelia 17, 239–246 (1978).Article 

    Google Scholar 
    Møhlenberg, F. & Riisgård, H. U. Filtration rate, using a new indirect technique, in thirteen species of suspension-feeding bivalves. Mar. Biol. 54, 143–147 (1979).Article 

    Google Scholar 
    Riisgård, H. U. On measurement of filtration rates in bivalves—The stony road to reliable data: Review and interpretation. Mar. Ecol. Prog. Ser. 211, 275–291 (2001).ADS 
    Article 

    Google Scholar 
    Mills, S. C. & Reynolds, J. D. Mussel ventilation rates as a proximate cue for host selection by bitterling, Rhodeus sericeus. Oecologia 131, 473–478 (2002).ADS 
    PubMed 
    Article 

    Google Scholar 
    Filgueira, R., Labarta, U. & Fernández-Reiriz, M. J. Effect of condition index on allometric relationships of clearance rate in Mytilus galloprovincialis Lamarck, 1819. Rev. Biol. Mar. Oceanogr. 43, 391–398 (2008).Article 

    Google Scholar 
    Silverman, H., Achberger, E. C., Lynn, J. W. & Dietz, T. H. Filtration and utilization of laboratory-cultured bacteria by Dreissena polymorpha, Corbicula fluminea, and Carunculina texasensis. Biol. Bull. 189, 308–319 (1995).CAS 
    PubMed 
    Article 

    Google Scholar 
    Maki, J. S., Patel, G. & Mitchell, R. Experimental pathogenicity of Aeromonas spp. for the Zebra mussel, Dreissena polymorpha. Curr. Microbiol. 36, 19–23 (1998).CAS 
    PubMed 
    Article 

    Google Scholar 
    Love, D. C., Lovelace, G. L. & Sobsey, M. D. Removal of Escherichia coli, Enterococcus fecalis, coliphage MS2, poliovirus, and hepatitis A virus from oysters (Crassostrea virginica) and hard shell clams (Mercinaria mercinaria) by depuration. Int. J. Food Microbiol. 143, 211–217 (2010).CAS 
    PubMed 
    Article 

    Google Scholar 
    de Mesquita, M. M. F., Evison, L. M. & West, P. A. Removal of faecal indicator bacteria and bacteriophages from the common mussel (Mytilus edulis) under artificial depuration conditions. J. Appl. Bacteriol. 70, 495–501 (1991).PubMed 
    Article 

    Google Scholar  More

  • in

    Assessment of Eurasian lynx reintroduction success and mortality risk in north-west Poland

    Sunquist, M. E. & Sunquist, F. C. Family Felidae. In Handbook of the Mammals of the World Vol. 1 (eds Wilson, D. E. & Mittermeier, R. A.) 54–170 (Lynx Editions, 2009).
    Google Scholar 
    Breitenmoser, U. et al. Action plan for the conservation of the Eurasian Lynx (Lynx lynx) in Europe. Nat. Environ. 112, 1–70 (2000).
    Google Scholar 
    Linnell, J. D. C., Breitenmoser, U., Breitenmoser-Würsten, C., Odden, J. & von Arx, M. Recovery of Eurasian lynx in Europe: What part has reintroduction played? In Reintroduction of Top-Order Predators (eds Hayward, M. W. & Somers, M. J.) 72–91 (Blackwell Publishing, 2009).Chapter 

    Google Scholar 
    Schmidt, K., Ratkiewicz, M. & Konopiński, M. K. The importance of genetic variability and population differentiation in the Eurasian lynx Lynx lynx for conservation, in the context of habitat and climate change. Mammal Rev. 41, 112–124 (2011).Article 

    Google Scholar 
    von Arx, M. et al. Status and conservation of the Eurasian lynx (Lynx lynx) in Europe in 2001. KORA Bericht 19, 1–330 (2004).
    Google Scholar 
    Kaczensky, P. et al. Status, management and distribution of large carnivores—Bear, lynx, wolf and wolverine in Europe. Part 1 – Europe summaries. Report: 1–72. A Large Carnivore Initiative for Europe Report prepared for the European Commission (2013).Chapron, G. et al. Recovery of large carnivores in Europe’s modern human-dominated landscapes. Science 346, 1517–1519 (2014).ADS 
    CAS 
    PubMed 
    Article 

    Google Scholar 
    Franz, K. W. & Romanowski, J. Revisiting the reintroduced Eurasian lynx population in Kampinos National Park Poland. Eur. Zool. J. 88, 966–979. https://doi.org/10.1080/24750263.2021.1968046 (2021).Article 

    Google Scholar 
    Bieniek, M., Wolsan, M. & Okarma, H. Historical biogeography of the lynx in Poland. Acta Zool. Cracov. 41, 143–167 (1998).
    Google Scholar 
    Jędrzejewski, W., Nowak, S., Schmidt, K. & Jędrzejewska, B. Wilk i ryś w Polsce: Wyniki inwentaryzacji w 2001 roku. Kosmos 51, 491–499 (2002).
    Google Scholar 
    Mysłajek, R., Kwiatkowska, I., Diserens, T., Haidt, A. & Nowak, S. Occurrence of Eurasian lynx in western Poland after two decades of strict protection. CATnews 69, 12–13 (2019).
    Google Scholar 
    Schmidt, K. Program ochrony rysia Lynx lynx w Polsce – Project. Strategia ochrony Rysia Warunkująca Trwałość Populacji Gatunku w Polsce (Warsaw University of Life Sciences, 2011).
    Google Scholar 
    Kaczensky, P. et al. Status, management and distribution of large carnivores—Bear, lynx, wolf and wolverine in Europe. Part 2: Country Species Summaries. Report: 1–200. A Large Carnivore Initiative for Europe Report prepared for the European Commission (2013).Breitenmoser, U. et al. Lynx lynx (errata version published in 2017). The IUCN Red List of Threatened Species 2015: e.T12519A121707666. Accessed 30 Oct 2021 (2015).Vandel, J.-M., Stahl, P., Herrenschmidt, V. & Marboutin, E. Reintroduction of the lynx into the Vosges mountain massif: From animal survival and movements to population development. Biol. Conserv. 131, 370–385. https://doi.org/10.1016/j.biocon.2006.02.012 (2006).Article 

    Google Scholar 
    Zimmermann, F., Breitenmoser-Würsten, C. & Breitenmoser, U. Importance of dispersal for the expansion of a Eurasian lynx Lynx lynx population in a fragmented landscape. Oryx 41, 358–368. https://doi.org/10.1017/s0030605307000712 (2007).Article 

    Google Scholar 
    Schmidt, K., Kowalczyk, R., Ozolins, J., Mannil, P. & Fickel, J. Genetic structure of the Eurasian lynx population in north-eastern Poland and the Baltic states. Conserv. Genet. 10, 497–501. https://doi.org/10.1007/s10592-008-9795-7 (2009).Article 

    Google Scholar 
    Ratkiewicz, M. et al. Long-range gene flow and the effects of climatic and ecological factors on genetic structuring in a large, solitary carnivore: The Eurasian Lynx. PLoS ONE 9, e115160. https://doi.org/10.1371/journal.pone.0115160 (2014).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Port, M. et al. Rise and fall of a Eurasian lynx (Lynx lynx) stepping-stone population in central Germany. Mammal Res. https://doi.org/10.1007/s13364-020-00527-6 (2020).Article 

    Google Scholar 
    Drouilly, M. & O’Riain, J. M. Rewilding the world’s large carnivores without neglecting the human dimension: A response to reintroducing the Eurasian lynx to southern Scotland, England and Wales. Biodivers. Conserv. 30, 917–923. https://doi.org/10.1007/s10531-021-02112-y (2021).Article 

    Google Scholar 
    Böer, M., Smielowski, J. & Tyrala, P. Reintroduction of the European lynx (Lynx lynx) to the Kampinoski National Park/Poland field experiment with zooborn individuals. Part I: Selection, adaptation and training. Der Zool. Garten 70, 304–312 (1994).
    Google Scholar 
    Jakimiuk, S. (ed.). Aktywna ochrona populacji nizinnej rysia w Polsce. 1–144 (WWF, Poland, 2015).Huck, M. et al. Habitat suitability, corridors and dispersal barriers for large carnivores in Poland. Acta Theriol. 55, 177–192 (2010).Article 

    Google Scholar 
    Niedziałkowska, M. et al. Environmental correlates of Eurasian lynx occurrence in Poland: Large scale census and GIS mapping. Biol. Conserv. 133, 63–69. https://doi.org/10.1016/j.biocon.2006.05.022 (2006).Article 

    Google Scholar 
    Schmidt, K., Kowalczyk, R., Ozolins, J., Männil, P. & Fickel, J. Genetic structure of the Eurasian lynx population in north-eastern Poland and the Baltic states. Conserv. Genet. 10, 497–501. https://doi.org/10.1007/s10592-008-9795-7 (2009).Article 

    Google Scholar 
    Tracz, M. et al. The return of lynx to northwestern Poland. CATnews 14, 43–44 (2021).
    Google Scholar 
    The Return of Lynx to north-west Poland. http://www.rysie.org/en/rysie-strona-glowna. Accessed on 31 Oct 2021.IUCN/SSC. Guidelines for Reintroductions and Other Conservation Translocations. Version 1.0. 1–57 (IUCN Species Survival Commission, 2013).Rueda, C., Jiménez, J., Palacios, M. J. & Margalida, A. Exploratory and territorial behavior in a reintroduced population of Iberian lynx. Sci. Rep. 11, 14148. https://doi.org/10.1038/s41598-021-93673-z (2021).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Gusset, M. A framework for evaluating reintroduction success in carnivores: Lessons from African wild dogs. In Reintroduction of Top-Order Predators (eds Hayward, M. W. & Somers, M. J.) 307–320 (Blackwell Publishing, 2009).Chapter 

    Google Scholar 
    Breitenmoser, U. & Haller, H. Patterns of predation by reintroduced European Lynx in the Swiss Alps. J. Wildl. Manage. 57, 135–144 (1993).Article 

    Google Scholar 
    Drouilly, M. & O’Riain, M. J. Rewilding the world’s large carnivores without neglecting the human dimension. Biodivers. Conserv. 30, 917–923 (2021).Article 

    Google Scholar 
    Jędrzejewski, W. et al. Population dynamics (1869–1994), demography, and home ranges of the Lynx in Białowieza Primeval Forest (Poland and Belarus). Ecography 19, 122–138 (1996).Article 

    Google Scholar 
    Palmero, S. et al. Demography of a Eurasian lynx (Lynx lynx) population within a strictly protected area in Central Europe. Sci. Rep. 11, 19868. https://doi.org/10.1038/s41598-021-99337-2 (2021).ADS 
    CAS 
    Article 
    PubMed 
    PubMed Central 

    Google Scholar 
    Maran, T., Põdra, M., Põlma, M. & Macdonald, D. The survival of captive-born animals in restoration programmes: Case study of the endangered European mink Mustela lutreola. Biol. Conserv. 142, 1685–1692 (2009).Article 

    Google Scholar 
    Moehrenschlager, A. & Macdonald, D. W. Movement and survival parameters of translocated and resident swift foxes Vulpes velox. Anim. Conserv. 6, 199–206 (2003).Article 

    Google Scholar 
    Böer, M., Reklewski, J., Śmiełowski, J. & Tyrała, P. Reintroduction of the European Lynx to the Kampinoski Nationalpark/Poland: A field experiment with zooborn individuals. Part III: Demographic development of the population from December 1993 until January 2000. Der Zool. Garten 70, 304–312 (2000).
    Google Scholar 
    Jule, K. R., Leaver, L. A. & Lea, E. G. L. The effects of captive experience on reintroduction survival in carnivores: A review and analysis. Biol. Conserv. 141, 355–363 (2008).Article 

    Google Scholar 
    Hellstedt, P. & Kallio, E. R. Survival and behaviour of captive-born weasels (Mustela nivalis nivalis) released in nature. J. Zool. 266, 37–44 (2005).Article 

    Google Scholar 
    Devineau, O. et al. Evaluating the Canada lynx reintroduction programme in Colorado: Patterns in mortality. J. Appl. Ecol. 47, 524–531 (2010).Article 

    Google Scholar 
    Lengger, J., Breitenmoser, U. & Sliwa, A. EAZA breeding programmes as sources for lynx reintroductions. CATnews 14, 76–77 (2021).
    Google Scholar 
    Reading, P. R. & Clark, T. W. Carnivore introductions: An interdisciplinary Examination. In Carnivore Behavior, Ecology and Evolution (ed. Gittleman, J. L.) 296–336 (Cornell University Press, 1996).
    Google Scholar 
    McCarthy, M. A., Armstrong, D. P. & Runge, M. C. Adaptive management of reintroduction. In Reintroduction Biology: Integrating Science and Management (eds Ewen, J. G. et al.) 256–289 (Wiley-Blackwell, 2012).Chapter 

    Google Scholar 
    Bremner-Harrison, S., Prodohl, P. A. & Elwood, R. W. Behavioural trait assessment as a release criterion: Boldness predicts early death in a reintroduction programme of captive-bred swift fox (Vulpes velox). Anim. Conserv. 7, 313–320 (2004).Article 

    Google Scholar 
    Harrington, L., Põdra, M., Macdonald, D. & Maran, T. Post-release movements of captive-born European mink Mustela lutreola. Endanger. Species Res. 24, 137–148 (2014).Article 

    Google Scholar 
    Andrén, H. et al. Survival rates and causes of mortality in Eurasian lynx (Lynx lynx) in multi-use landscapes. Biol. Conserv. 131, 23–32 (2006).Article 

    Google Scholar 
    Heurich, M. et al. Illegal hunting as a major driver of the source-sink dynamics of a reintroduced lynx population in Central Europe. Biol. Conserv. 224, 355–365 (2018).Article 

    Google Scholar 
    Schmidt-Posthaus, H., Breitenmoser, Ch., Posthaus, H., Bacciarini, L. & Breitenmoser, U. Causes of mortality in reintroduced Eurasian lynx in Switzerland. J. Wildl. Dis. 38, 84–92 (2002).PubMed 
    Article 

    Google Scholar 
    Kołodziej-Sobocińska, M., Zalewski, A. & Kowalczyk, R. Sarcoptic mange vulnerability in carnivores of the Białowieża Primeval Forest, Poland: underlying determinant factors. Ecol. Res. 29, 237–244 (2014).Article 

    Google Scholar 
    Holt, G. & Berg, C. Sarcoptic mange in red fox and other wild carnivores in Norway. Nor Veterinaertidsskr 102, 427–432 (1990).
    Google Scholar 
    Mörner, T. Sarcoptic mange in Swedish wildlife. Rev. Sci. Tech. Off. Int. Epiz. 11, 1115–1121 (1992).Article 

    Google Scholar 
    Ryser-Degiorgis, M. P. et al. Notoedric and sarcoptic mange in free-ranging lynx from Switzerland. J. Wildl. Dis. 38, 228–232 (2002).PubMed 
    Article 

    Google Scholar 
    Soulsbury, C. D. et al. The impact of sarcoptic mange Sarcoptes scabiei on the British fox Vulpes vulpes population. Mam. Rev. 37, 278–296 (2007).
    Google Scholar 
    Garrote, G., Fernández-López, J., López, G., Ruiz, G. & Simón, M. A. Prediction of Iberian lynx road–mortality in southern Spain: A new approach using the MaxEnt algorithm. Anim. Biodivers. Conserv. 41, 217–225 (2018).Article 

    Google Scholar 
    Bencin, H., Prange, S., Rose, Ch. & Popescu, V. Roadkill and space use data predict vehicle-strike hotspots and mortality rates in a recovering bobcat (Lynx rufus) population. Sci. Rep. 9, 15391 (2019).ADS 
    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Bouyer, Y. et al. Tolerance to anthropogenic disturbance by a large carnivore: The case of Eurasian lynx in south-eastern Norway. Anim. Conserv. https://doi.org/10.1111/acv.12168 (2014).Article 

    Google Scholar 
    López-Bao, J. V. et al. Eurasian lynx fitness shows little variation across Scandinavian human-dominated landscapes. Sci. Rep. 9, 8903 (2019).ADS 
    PubMed 
    PubMed Central 
    Article 
    CAS 

    Google Scholar 
    Cimatti, M. et al. Large carnivore expansion in Europe is associated with human population density and land cover changes. Divers. Distrib. 27, 602–617 (2021).Article 

    Google Scholar 
    Wegner, M. (ed.). Statistical Yearbook of Zachodniopomorskie Voivodship. 1–213 (Statistical Office in Szczecin, 2020).Górny, M., Schmidt, K. & Kowalczyk, R. Analiza przydatności środowiska dla reintrodukcji rysia w północno-zachodniej Polsce oraz prognoza i perspektywy funkcjonowania populacji. Expert study under the project POIS.02.04.00–0143/16 “Return of the lynx to northwestern Poland”. 1–25.Woodford, M. H., Keet, D. F. & Bengis, R. G. Post-mortem Procedures for Wildlife Veterinarians and Field Biologists. 1–55 (IUCN Species Survival Commission (SSC) & Veterinary Specialist Group, Care for the Wild International, World Organisation for Animal Health (OIE), 2000).Fain, A. Ѐtude de la variabilitѐ de Sarcoptes scabiei avec une rѐvision des Sarcoptidae. Acta Zool. Pathol. Antverp 47, 1–196 (1968).
    Google Scholar 
    Kaplan, E. L. & Meier, P. Nonparametric estimation from incomplete observations. J. Am. Stat. Assoc. 53, 457–481 (2012).MathSciNet 
    MATH 
    Article 

    Google Scholar 
    Therneau, M., Lumley, T., Atkinson, E. & Crowson, C. Survival Analysis. R Package Version 3.2-13. http://CRAN.R-project.org/package=survival (2021).Kassambara, A., Kosinski, M., Biecek, P. & Scheipl, F. survminer. Drawing Survival Curves using ‘ggplot2’. R package version 0.4.9. http://CRAN.R-project.org/package=survminer (2021).Dardis, C. survMisc. Miscellaneous Functions for Survival Data. R package version 0.5.5. http://CRAN.R-project.org/package=survMisc (2018).R Core Team. R: A language and environment for statistical computing (R Foundation for Statistical Computing). https://www.R-project.org (2021).Snedecor, G. W. & Cochran, W. G. Statistical Methods 7th edn. (Iowa State University Press, 1980).MATH 

    Google Scholar 
    Cox, D. R. Regression models and life tables (with discussion). J. R. Stat. Soc. B. 34, 187–220 (1972).MATH 

    Google Scholar 
    Bradburn, M. J., Clark, T. G., Love, S. B. & Altman, D. G. Survival Analysis Part II: Multivariate data analysis: An introduction to concepts and methods. Br. J. Cancer. 89, 431–436 (2003).CAS 
    PubMed 
    PubMed Central 
    Article 

    Google Scholar 
    Wald, A. Tests of statistical hypothesis concerning several parameters when the number of observations is large. Trans. Am. Math. Soc. 54, 426–482 (1943).MATH 
    Article 

    Google Scholar 
    Aitchison, J. & Silvey, S. D. Maximum likelihood estimation of parameters subject to restraints. Ann. Math. Stat. 29, 813–828 (1958).MathSciNet 
    MATH 
    Article 

    Google Scholar 
    Mantel, N. Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemother. Rep. 50, 163–170 (1966).CAS 
    PubMed 

    Google Scholar  More

  • in

    Ancient Reef Traits, a database of trait information for reef-building organisms over the Phanerozoic

    Darling, E. S., Alvarez-Filip, L., Oliver, T. A., McClanahan, T. R. & Côté, I. M. Evaluating life-history strategies of reef corals from species traits. Ecol. Lett. 15, 1378–1386 (2012).PubMed 

    Google Scholar 
    Bridge, T. C. L. et al. Incongruence between life-history traits and conservation status in reef corals. Coral Reefs 39, 271–279 (2020).
    Google Scholar 
    Raja, N. B. et al. Morphological traits of reef corals predict extinction risk but not conservation status. Glob. Ecol. Biogeogr. 30, 1597–1608 (2021).
    Google Scholar 
    Orzechowski, E. A. et al. Marine extinction risk shaped by trait–environment interactions over 500 million years. Glob. Change Biol. 21, 3595–3607 (2015).ADS 

    Google Scholar 
    Pietsch, C., Mata, S. A. & Bottjer, D. J. High temperature and low oxygen perturbations drive contrasting benthic recovery dynamics following the end-Permian mass extinction. Palaeogeogr. Palaeoclimatol. Palaeoecol. 399, 98–113 (2014).
    Google Scholar 
    Wagner, P. J. & Estabrook, G. F. Trait-based diversification shifts reflect differential extinction among fossil taxa. Proc. Natl. Acad. Sci. 111, 16419–16424 (2014).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Kiessling, W. Geologic and Biologic Controls on the Evolution of Reefs. Annu. Rev. Ecol. Evol. Syst. 40, 173–192 (2009).
    Google Scholar 
    Kiessling, W. Reef expansion during the Triassic: Spread of photosymbiosis balancing climatic cooling. Palaeogeogr. Palaeoclimatol. Palaeoecol. 290, 11–19 (2010).
    Google Scholar 
    Foden, W. B. et al. Identifying the World’s Most Climate Change Vulnerable Species: A Systematic Trait-Based Assessment of all Birds, Amphibians and Corals. PLOS ONE 8, e65427 (2013).ADS 
    CAS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Hughes, A. D. & Grottoli, A. G. Heterotrophic Compensation: A Possible Mechanism for Resilience of Coral Reefs to Global Warming or a Sign of Prolonged Stress? PLOS ONE 8, e81172 (2013).ADS 
    PubMed 
    PubMed Central 

    Google Scholar 
    Stanley, G. D. Jr & Helmle, K. P. Middle Triassic Coral Growth Bands and Their Implication for Photosymbiosis. PALAIOS 25, 754–763 (2010).ADS 

    Google Scholar 
    van Woesik, R. et al. Hosts of the Plio-Pleistocene past reflect modern-day coral vulnerability. Proc. R. Soc. B Biol. Sci. 279, 2448–2456 (2012).
    Google Scholar 
    Madin, J. S. et al. The Coral Trait Database, a curated database of trait information for coral species from the global oceans. Sci. Data 3, 160017 (2016).PubMed 
    PubMed Central 

    Google Scholar 
    Madin, J. S. et al. A Trait-Based Approach to Advance Coral Reef Science. Trends Ecol. Evol. 31, 419–428 (2016).PubMed 

    Google Scholar 
    Riedel, P. Korallen in der Trias der Tethys:. Stratigraphische Reichweiten, Diversitätsmuster, Entwicklungstrends und Bedeutung als Rifforganismen. Mitteilungen Ges. Geol.- Bergbaustud. Österr. 37, 97–118 (1991).
    Google Scholar 
    Budd, A. F., Adrain, T. S., Park, J. W., Klaus, J. S. & Johnson, K. G. The Neogene Marine Biota of Tropical America (“NMITA”) Database: Integrating Data from the Dominican Republic Project. in Evolutionary Stasis and Change in the Dominican Republic Neogene (eds. Nehm, R. H. & Budd, A. F.) 301–310, https://doi.org/10.1007/978-1-4020-8215-3_13 (Springer Netherlands, 2008).Budd, A. F., Foster, C. T., Dawson, J. P. & Johnson, K. G. The Neogene Marine Biota of Tropical America (“NMITA”) database: Accounting for biodiversity in paleontology. J. Paleontol. 75, 743–751 (2001).
    Google Scholar 
    Scotese, C. R. PALEOMAP PaleoAtlas for GPlates and the PaleoData Plotter Program. https://www.earthbyte.org/paleomap-paleoatlas-for-gplates/ (2016).Johnson, K. G., Budd, A. F. & Stemann, T. A. Extinction selectivity and ecology of Neogene Caribbean reef corals. Paleobiology 21, 52–73 (1995).
    Google Scholar 
    Pinzón, J. H. et al. Blind to morphology: genetics identifies several widespread ecologically common species and few endemics among Indo-Pacific cauliflower corals (Pocillopora, Scleractinia). J. Biogeogr. 40, 1595–1608 (2013).
    Google Scholar 
    Lathuilière, B. Coraux constructeurs du Bajocien inférieur de France: 2ème partie. Geobios 33, 153–181 (2000).
    Google Scholar 
    Kiessling, W. & Kocsis, Á. T. Biodiversity dynamics and environmental occupancy of fossil azooxanthellate and zooxanthellate scleractinian corals. Paleobiology 41, 402–414 (2015).
    Google Scholar 
    Raja, N. B., Dimitrijević, D., Krause, M. C. & Kiessling, W. Ancient Reef Traits Database. Zenodo https://doi.org/10.5281/zenodo.5717611 (2022).Mannani, M. Late Triassic scleractinian corals from Nayband Formation, southwest Ardestan, Central Iran. Bol. Soc. Geológica Mex. 72, A090619 (2020).
    Google Scholar 
    Löser, H., Stemann, T. A. & Mitchell, S. Oldest scleractinian fauna from Jamaica (Hauterivian, Benbow Inlier). J. Paleontol. 83, 333–349 (2009).
    Google Scholar 
    Löser, H. Morphology, Taxonomy and Distribution of the Cretaceous coral genus Aulastraeopora (Late Barremian-Early Cenomanian; Scleractinia). Riv. Ital. Paleontol. E Stratigr. 114, (2008).Löser, H. Revision of Actinastrea, the most common Cretaceous coral genus. Paläontol. Z. 86, 15–22 (2012).
    Google Scholar 
    Löser, H., Werner, W. & Darga, R. A Middle Cenomanian coral fauna from the Northern Calcareous Alps (Bavaria, Southern Germany) – new insights into the evolution of Mid-Cretaceous corals. Zitteliana 53, 37–76 (2013).
    Google Scholar 
    Löser, H. & Bilotte, M. Taxonomy of a platy coral association from the Late Cenomanian of the southern Corbières (Aude, France). Ann. Paléontol. 103, 3–17 (2017).
    Google Scholar 
    Löser, H., Steuber, T. & Löser, C. Early Cenomanian coral faunas from Nea Nikopoli (Kozani, Greece; Cretaceous). Carnets Géologie Noteb. Geol. 18, 23–121 (2018).
    Google Scholar 
    Löser, H. Early evolution of the family Siderastraeidae (Scleractinia; Cretaceous-extant). Paläontol. Z. 90, 1–17 (2016).
    Google Scholar 
    Kiessling, W. et al. Massive corals in Paleocene siliciclastic sediments of Chubut (Argentina). Facies 51, 233–241 (2005).
    Google Scholar 
    Stolarski, J. & Vertino, A. First Mesozoic record of the scleractinian Madrepora from the Maastrichtian siliceous limestones of Poland. Facies 53, 67–78 (2007).
    Google Scholar 
    Yabe, H. & Sugiyama, T. 5. Younger Cenozoic Reef-corals from the Nabire Beds of Nabire, Dutch New Guinea. Proc. Imp. Acad. 18, 16–23 (1942).
    Google Scholar 
    Wilson, M. A., Vinn, O. & Palmer, T. J. Bivalve borings, bioclaustrations and symbiosis in corals from the Upper Cretaceous (Cenomanian) of southern Israel. Palaeogeogr. Palaeoclimatol. Palaeoecol. 414, 243–245 (2014).
    Google Scholar 
    Tomás, S., Löser, H. & Salas, R. Low-light and nutrient-rich coral assemblages in an Upper Aptian carbonate platform of the southern Maestrat Basin (Iberian Chain, eastern Spain). Cretac. Res. 29, 509–534 (2008).
    Google Scholar 
    Baron-Szabo, R. C. Scleractinian corals from the upper Berriasian of central Europe and comparison with contemporaneous coral assemblages. Zootaxa 4383, 1 (2018).Kiessling, W., Roniewicz, E., Villier, L., Leonide, P. & Struck, U. An early Hettangian coral reef in southern France: Implications for the end-Triassic reef crisis. PALAIOS 24, 657–671 (2009).ADS 

    Google Scholar 
    Stanley, G. D. & Beauvais, L. Middle Jurassic corals from the Wallowa terrane, west-central Idaho. J. Paleontol. 64, 352–362 (1990).
    Google Scholar 
    Gretz, M., Lathuilière, B., Martini, R. & Bartolini, A. The Hettangian corals of the Isle of Skye (Scotland): An opportunity to better understand the palaeoenvironmental conditions during the aftermath of the Triassic–Jurassic boundary crisis. Palaeogeogr. Palaeoclimatol. Palaeoecol. 376, 132–148 (2013).
    Google Scholar 
    Reolid, M., Molina, J. M., Löser, H., Navarro, V. & Ruiz-Ortiz, P. A. Coral biostromes of the Middle Jurassic from the Subbetic (Betic Cordillera, southern Spain): facies, coral taxonomy, taphonomy, and palaeoecology. Facies 55, 575–593 (2009).
    Google Scholar 
    Pandey, D. K., Lathuilière, B., Fürsich, F. T. & Kuldeep, S. The oldest Jurassic cyathophorid coral (Scleractinia) from siliciclastic environments of the Kachchh Basin, western India. Paläontol. Z. 76, 347–356 (2002).
    Google Scholar 
    Löser, H. & Heinrich, M. New coral genera and species from the Rußbach and Gosau area (Upper Cretaceous; Austria). Palaeodiversity 11, 127–149 (2018).
    Google Scholar 
    Stanley, G. D. & Whalen, M. T. Triassic corals and spongiomorphs from Hells Canyon, Wallowa terrane, Oregon. J. Paleontol. 63, 800–819 (1989).
    Google Scholar 
    Gill, G. A., Santantonio, M. & Lathuilière, B. The depth of pelagic deposits in the Tethyan Jurassic and the use of corals: an example from the Apennines. Sediment. Geol. 166, 311–334 (2004).ADS 

    Google Scholar 
    Baron-Szabo, R. C., Hamedani, A. & Senowbari-Daryan, B. Scleractinian corals from lower cretaceous deposits north of Esfahan (central Iran). Facies 48, 199–215 (2003).
    Google Scholar 
    Lathuilière, B., Baron-Szabo, R. C., Charbonnier, S. & Pacaud, J.-M. The Mesozoic scleractinian genus Adelocoenia (Stylinidae) and its Jurassic species. Carnets Géologie Noteb. Geol. 20, 367–406 (2020).
    Google Scholar 
    Roniewicz, E. & Stanley, G. D. Middle Triassic cnidarians from the New Pass Range, Central Nevada. J. Paleontol. 72, 246–256 (1998).
    Google Scholar 
    Shepherd, H. M. E., Stanley, G. D. & Amirhassankhani, F. Norian to Rhaetian scleractinian corals in the Ferdows Patch Reef (Nayband Formation, east central Iran). J. Paleontol. 86, 801–812 (2012).
    Google Scholar 
    Budd, A. F. & Wallace, C. C. First record of the Indo-Pacific reef coral genus Isopora in the Caribbean Region: two new species from the Neogene of Curaçao, Netherlands Antilles. Palaeontology 51, 1387–1401 (2008).
    Google Scholar 
    Pandolfi, J. M. A new, extinct pleistocene reef coral from the Montastraea “annularis” species complex. J. Paleontol. 81, 472–482 (2007).
    Google Scholar 
    El-Asa’ad, G. M. A. Oxfordian hermatypic corals from Central Saudi Arabia. Geobios 24, 267–287 (1991).
    Google Scholar 
    Masse, J.-P., Morycowa, E. & Fenerci-Masse, M. Valanginian-Hauterivian scleractinian coral communities from the Marseille region (SE France). Cretac. Res. 30, 178–192 (2009).
    Google Scholar 
    El-Sorogy, A. S. & Al-Kahtany, K. M. Contribution to the scleractinian corals of Hanifa Formation, Upper Jurassic, Jabal Al-Abakkayn, central Saudi Arabia. Hist. Biol. 27, 90–102 (2015).
    Google Scholar 
    Beauvais, L. & Stump, T. E. Corals, molluscs, and paleogeography of late Jurassic strata of the Cerro Pozo Serna, Sonora, Mexico. Palaeogeogr. Palaeoclimatol. Palaeoecol. 19, 275–301 (1976).
    Google Scholar 
    Roniewicz, E., Stanley, G. D., da Costa Monteiro, F. & Grant-Mackie, J. A. Late Triassic (Carnian) corals from Timor-Leste (East Timor): their identity, setting, and biogeography. Alcheringa Australas. J. Palaeontol. 29, 287–303 (2005).
    Google Scholar 
    Stanley, G. D. & Onoue, T. Upper Triassic reef corals from the Sambosan Accretionary Complex, Kyushu, Japan. Facies 61, 1 (2015).
    Google Scholar 
    Melnikova, G. K. & Roniewicz, E. Early Jurassic corals with dominating solitary growth forms from the Kasamurg Mountains, Central Asia. Palaeoworld 26, 124–148 (2017).
    Google Scholar 
    Stanley, G. D. & Beauvais, L. Corals from an Early Jurassic coral reef in British Columbia: refuge on an oceanic island reef. Lethaia 27, 35–47 (1994).
    Google Scholar 
    Caruthers, A. H. & Stanley, G. D. Systematic analysis of Upper Triassic silicified scleractinian corals from Wrangellia and the Alexander Terrane, Alaska and British Columbia. J. Paleontol. 82, 470–491 (2008).
    Google Scholar 
    Roniewicz, E. & Stanley, G. D. Upper Triassic corals from Nevada, western North America, and the implications for paleoecology and paleogeography. J. Paleontol. 87, 934–964 (2013).
    Google Scholar 
    Lathuilière, B. Coraux constructeurs du Bajocien inférieur de France. 1ere partie. Geobios 33, 51–72 (2000).
    Google Scholar 
    Morycowa, E. Supplemental data on Triassic (Anisian) corals from Upper Silesia (Poland). Ann. Soc. Geol. Pol. https://doi.org/10.14241/asgp.2018.001 (2018).Budd, A. F. & Bosellini, F. R. Revision of Oligocene Mediterranean meandroid corals in the scleractinian families Mussidae, Merulinidae and Lobophylliidae. J. Syst. Palaeontol. 14, 771–798 (2016).
    Google Scholar 
    Roniewicz, E. Early Norian (Triassic) Corals from the Northern Calcareous Alps, Austria, and the Intra-Norian Faunal Turnover. Acta Palaeontol. Pol. 56, 401–428 (2011).
    Google Scholar 
    Budd, A. F., Adrain, T. S., Park, J. W., Klaus, J. S. & Johnson, K. G. The Neogene Marine Biota of Tropical America (“NMITA”) Database: Integrating Data from the Dominican Republic Project. in Evolutionary Stasis and Change in the Dominican Republic Neogene (eds. Nehm, R. H. & Budd, A. F.) vol. 30 301–310 (Springer Netherlands, 2008).Mielnikova, G. Monstroseris, a new Upper Triassic scleractinian coral from Iran. Acta Palaeontol. Pol. 34, 71–74 (1989).
    Google Scholar 
    Löser, H. Taxonomy, stratigraphic distribution and palaeobiogeography of the Early Cretaceous coral genus Holocystis. Rev. Mex. Cienc. Geológicas 23, 288–301 (2006).
    Google Scholar 
    Löser, H. Corals from the Maastrichtian Ocozocoautla Formation (Chiapas, Mexico)-a closer look. Rev. Mex. Cienc. Geológicas 29, 534–550 (2012).
    Google Scholar 
    Löser, H. The Barremian coral fauna of the Serre de Bleyton mountain range (Drôme, SE France). Ann. Naturhistorischen Mus. Wien Ser. Für Mineral. Petrogr. Geol. Paläontol. Anthropol. Prähistorie 112, 575–612 (2010).
    Google Scholar 
    Löser, H., García-Barrera, P., Mendoza-Rosales, C. C. & Ortega-Hernández, J. Corals from the Early Cretaceous (Barremian – Early Albian) of Puebla (Mexico) – Introduction and Family Stylinidae. Rev. Mex. Cienc. Geológicas 30, 385–403 (2013).
    Google Scholar 
    Morycowa, E., Masse, J.-P., Arias, C. & Minondo, L. V. Montlivaltia multiformis Toula (Scleractinia) from the Aptian of the Prebetic domain (SE Spain). Span. J. Palaeontol. 16, 131–144 (2001).
    Google Scholar 
    Morycowa, E. & Masse, J.-P. Actinaraeopsis ventosiana, a new scleractinian species from the Lower Cretaceous of Provence (SE France). Ann. Soc. Geol. Pol. 77, 141–145 (2007).
    Google Scholar 
    Stolarski, J. & Taviani, M. Oligocene scleractinian corals from CRP- 3 drillhole, McMurdo Sound (Victoria Land Basin, Antarctica). Terra Antarct. 8, 1–4 (2001).
    Google Scholar 
    Morycowa, E. & Marcopoulou-Diacantoni, A. Albian corals from the Subpelagonian zone of Central Greece (Agrostylia, Parnassos region). Ann. Soc. Geol. Pol. 72, 1–65 (2002).
    Google Scholar 
    Morycowa, E. & Roniewicz, E. Revision of the genus Cladophyllia and description of Apocladophyllia gen. n.(Cladophylliidae fam. n., Scleractinia). Acta Palaeontol. Pol. 35, 165–190 (1990).
    Google Scholar 
    Morycowa, E. & Masse, J.-P. Lower Cretaceous Microsolenina (Scleractinia) from Provence (southern France). Ann. Soc. Geol. Pol. 79, 97–140 (2009).
    Google Scholar 
    Squires, R. L. & Demetrion, R. A. Paleontology of the Eocene Bateque Formation, Baja California Sur, Mexico. Contrib. Sci. 434, 1–55 (1992).
    Google Scholar 
    Wells, J. W. Cretaceous, Tertiary, and Recent Corals, a Sponge, and an Alga from Venezuela. J. Paleontol. 18, 429–447 (1944).
    Google Scholar 
    Morycowa, E. & Decrouez, D. Early Aptian scleractinian corals from the Upper Schrattenkalk of Hergiswil (Lucerne region, Helvetic Zone of central Switzerland). Rev. Paléobiol. 25, 791 (2006).
    Google Scholar 
    Stolarski, J. Paleogene corals from Seymour Island, Antarctic Peninsula. Palaeontol. Pol. 55, 1–63 (1996).
    Google Scholar 
    Vaughan, T. W. New Corals: One Recent, Alaska; Three Eocene, Alabama and Louisiana. J. Paleontol. 15, 280–284 (1941).
    Google Scholar 
    Stolarski, J. & Russo, A. Microstructural diversity of the stylophyllid [Scleractinia] skeleton. Acta Palaeontol. Pol. 47, (2002).Roniewicz, E. Jurassic scleractinian coral Thamnoseris Etallon, 1864 (Scleractinia), and its homeomorphs. Acta Palaeontol. Pol. 24, 51–70 (1979).
    Google Scholar 
    Lathuilière, B., Charbonnier, S. & Pacaud, J.-M. Nomenclatural and taxonomic acts and remarks for the revision of Jurassic corals. Zitteliana 89, 133–150 (2017).
    Google Scholar 
    Roniewicz, E. Upper Kimmeridgian Scleractinia of Pomerania (Poland). Ann. Soc. Geol. Pol. 47, 613–622 (1977).
    Google Scholar 
    Roniewicz, E. Scleractinia from the Upper Portlandian of Tisbury, Wiltshire, England. Acta Palaeontol. Pol. 15, 519–541 (1970).
    Google Scholar 
    Roniewicz, E. Kimmeridgian-Valanginian reef corals from the Moesian platform from Bulgaria. Ann. Soc. Geol. Pol. 78, 91–134 (2008).
    Google Scholar 
    Ricci, C., Lathuiliere, B. & Rusciadelli, G. Coral communities, zonation and paleoecology of an Upper Jurassic reef complex (Ellipsactinia Limestones, Central Apennines, Italy). Riv. Ital. Paleontol. E Stratigr. 124, 433–508 (2018).
    Google Scholar 
    Pandey, D. K. et al. Jurassic corals from southern Tunisia. Zitteliana A45, 3–34 (2005).
    Google Scholar 
    Pandey, D. K. et al. Jurassic corals from the Shemshak Formation of the Alborz Mountains, Iran. Zitteliana A46, 41–74 (2006).
    Google Scholar 
    Pandey, D. K. & Fürsich, F. T. Contributions to the Jurassic of Kachchh, Western India I. The coral fauna. Beringeria 8, 3–69.Morycowa, E. & Mišík, M. Upper Jurassic shallow-water scleractinian corals from the Pieniny Klippen Belt (Western Carpathians, Slovakia). Geol. Carpathica 56, (2005).Pandey, D. K. et al. Lower Cretaceous corals from the Koppeh Dagh, NE-Iran. Zitteliana A47, 3–52 (2007).
    Google Scholar 
    Morycowa, E. Corals from the Tithonian carbonate complex in the Dąbrowa Tarnowska–Szczucin area (Polish Carpathian Foreland). Ann. Soc. Geol. Pol. 82, 1–38 (2012).
    Google Scholar 
    Baron-Szabo, R. Corals of the Theresienstein reef (Upper Turonian-Coniacian, Salzburg, Austria). Proc. Biol. Soc. Wash. 10, 257–268 (2001).
    Google Scholar 
    Morycova, E. Middle Triassic Scleractinia from the Cracow-Silesia region, Poland. Acta Palaeontol. Pol. 33, 91–121 (1988).
    Google Scholar 
    El-Asa’ad, G. M. A. Callovian colonial corals from the Tuwaiq Mountain Limestone of Saudi Arabia. Paleontology 32, 675–684 (1989).
    Google Scholar 
    Roniewicz, E. & Michalik, J. Rhaetian scleractinian corals in the Western Carpathians. Geol. Carpathica 49, 391–399 (1998).
    Google Scholar 
    Roniewicz, E. & Michalik, J. Carnian corals from the Male Karpaty Mountains, Western Carpathians, Slovakia. Geol. Carpathica 53, 149–157 (2002).
    Google Scholar 
    Roniewicz, E. Rhaetian corals of the Tatra Mts. Acta Geol. Pol. 24, 97–116 (1974).
    Google Scholar 
    Turnšek, D. et al. Contributions to the fauna (corals, brachiopods) and stable isotopes of the Late Triassic Steinplatte reef/basin-complex, Northern Calcareous Alps, Austria. Abh. Geol. Bundensanstalt 56, 121–142 (1999).
    Google Scholar 
    Roniewicz, E. Upper Triassic Solitary Corals from the Gosaukamm and other North Alpine Regions. Sitzungsberichte Biol. Wiss. Erdwissenschaften 3–41 (1995).Wells, J. W. & Jenks, W. F. Mesozoic invertebrate faunas of Peru. Part 3, Lower Jurassic corals from the Arequipa region. Am. Mus. Novit. 1631 (1953).Turnšek, D. & Senowbari-Daryan, B. Upper Triassic (Carnian-Lowermost Norian) Corals from the Pantokrator Limestone of Hydra (Greece). AbhGeolB-A 50, (1994).Wells, J. W. Jurassic Corals from the Smackover Limestone, Arkansas. J. Paleontol. 16, 126–129 (1942).
    Google Scholar 
    Turnšek, D., Buser, S. & Debeljak, I. Liassic coral patch reef above the” Lithiotid limestone” on Trnovski gozd plateau, west Slovenia: Liasni koralni kopasti greben na” litiotidnem apnencu” v Trnovskem gozdu, zahodna Slovenija. Razpr. IV Razreda SAZU XLIV–1, 285–331 (2003).
    Google Scholar 
    Turnšek, D. & Košir, A. Early Jurassic corals from Krim Mountain, Slovenia. Razpr. IV Razreda SAZU XLI–1, 81–113 (2000).
    Google Scholar 
    Roniewicz, E. Triassic scleractinian corals of the Zlambach Beds, Northern Calcareous Alps, Austria. Denkschr Osterr Akad Wiss Math Nat K1 126, 1–152 (1989).
    Google Scholar 
    Roniewicz, E. Les scléractiniaires du Jurassique supérieur de la Dobrogea centrale, Roumanie. Palaeontol. Pol. 34, 17–121 (1976).
    Google Scholar 
    Kiessling, W., Kumar Pandey, D., Schemm-Gregory, M., Mewis, H. & Aberhan, M. Marine benthic invertebrates from the Upper Jurassic of northern Ethiopia and their biogeographic affinities. J. Afr. Earth Sci. 59, 195–214 (2011).ADS 

    Google Scholar 
    Lathuilière, B. Coraux constructeurs du Bajocien inférieur de France: 2ème partie. Geobios 33, 153–181 (2000).
    Google Scholar 
    Baron‐Szabo, R. C. Corals of the K/T‐boundary: Scleractinian corals of the suborders Astrocoeniina, Faviina, Rhipidogyrina and Amphiastraeina. J. Syst. Palaeontol. 4, 1–108 (2006).
    Google Scholar 
    Filkorn, H. F. & Pantoja-Alor, J. NOMENCLATURAL NOTES Mexican Cretaceous coral species (Cnidaria, Anthozoa, Scleractinia) described as new by Filkorn & Pantoja-Alor (2009), but deemed ‘unpublished’ under the International Code of Zoological Nomenclature: republication of data necessary for nomenclatural availability. Bull. Zool. Nomencl. 72, 93–101 (2015).
    Google Scholar 
    Olden, J. D., Poff, N. L. & Bestgen, K. R. Trait Synergisms and the Rarity, Extirpation, and Extinction Risk of Desert Fishes. Ecology 89, 847–856 (2008).PubMed 

    Google Scholar 
    Schleuning, M. et al. Trait-Based Assessments of Climate-Change Impacts on Interacting Species. Trends Ecol. Evol. 35, 319–328 (2020).PubMed 

    Google Scholar 
    Solan, M., Aspden, R. J. & Paterson, D. M. Marine Biodiversity and Ecosystem Functioning: Frameworks, Methodologies, and Integration. (OUP Oxford, 2012).Suding, K. N. et al. Scaling environmental change through the community-level: a trait-based response-and-effect framework for plants. Glob. Change Biol. 14, 1125–1140 (2008).ADS 

    Google Scholar 
    Finnegan, S. et al. Paleontological baselines for evaluating extinction risk in the modern oceans. Science https://doi.org/10.1126/science.aaa6635 (2015).Yasuhara, M. & Deutsch, C. A. Paleobiology provides glimpses of future ocean. Science https://doi.org/10.1126/science.abn2384 (2022).Cooley, S. et al. Ocean and coastal ecosystems and their services. in Climate change 2022: Impacts, adaptation and vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel of Climate Change (IPCC) (eds. Pörtner, H.-O. et al.) (Cambridge University Press, 2022). More

  • in

    Himalayas: create an international peace park

    After the successful protection of Himalayan areas on the border of China and Nepal, we propose that the two nations should create the world’s highest international peace park by combining the Qomolangma and Sagarmatha national parks. This would align with United Nations Sustainable Development Goal 17, to achieve sustainable development through international cooperation (see go.nature.com/3ixmini).
    Competing Interests
    The authors declare no competing interests. More