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    Publisher Correction: Climate-driven changes in the composition of New World plant communities

    Affiliations

    Department of Biology, University of Miami, Coral Gables, FL, USA
    K. J. Feeley, C. Bravo-Avila, B. Fadrique & T. M. Perez

    Fairchild Tropical Botanic Garden, Coral Gables, FL, USA
    K. J. Feeley, C. Bravo-Avila & T. M. Perez

    Universidad Nacional de Colombia Sede Medellín, Medellín, Colombia
    D. Zuleta

    Forest Global Earth Observatory, Smithsonian Tropical Research Institute, Washington DC, DC, USA
    D. Zuleta

    Authors
    K. J. Feeley

    C. Bravo-Avila

    B. Fadrique

    T. M. Perez

    D. Zuleta

    Corresponding author
    Correspondence to K. J. Feeley. More

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    An early gall-inducing parasitic wasp adversely affects the fitness of its host Ficus tree but not the pollinator

    NPFWs are generally considered to have negative effects on the fig tree–fig pollinator mutualism according to theoretical studies2,4,6. Many empirical and experimental studies have justified this conclusion. Some studies show that NPFWs have a negative effect and found a negative correlation between the offspring number of NPFWs and the offspring number of pollinator and seeds9,13,14. For instance, Patel19 found no correlation between the offspring number of pollinator and NPFWs in their survey , and Peng et al.20 recorded a positive correlation between the offspring number of NPFWs and pollinator in figs of F. hispida . Our capacity to detect the real cost of development of different types of NPFWs and their exact effect on the mutualism is limited by many interaction factors13 and non-experimental empirical studies can underestimate or fail to detect the impact of NPFWs on this obligate mutualism when overall consideration was taken with different studies of pollinator-NPFW interactions in consideration18.
    For early-ovipositing gallers, a remarkable feature of those species is that their galls usually fill the space of B-phase syconium cavities and can greatly hinder pollinator movement and oviposition, thus result in their specific consequences on the mutualism24. For example, Conchou et al.13 studied Ficicola spp. which is a genus of early-ovipositing large-sized gallers hosted by F. guianensis and found a substantial negative impact of this genus on the production of both pollinators and seeds. Here, we present another case that studies the effect of an early gall inducer.
    Our study has explored the effect of early-ovipositing gallers on the growth of figs (fig size of matured figs) for the first time. In our study, it turns out that early-ovipositing gallers can greatly depress the growth of the figs. The mechanical injury caused by the insertion of the ovipositor of S. testacea to the tiny figs may be responsible for the depression of the growth of the Fig25. Another possible reason is the gall-inducing process26. Jansen-González26 et al. studied the gall-inducing process and larval feeding strategy of pollinating and non-pollinating fig wasp species associated with F. citrifolia and found that the way non-pollinating galler induces gall is quite different from pollinators and they exploit plant resources more aggressively26. With the involvement of the pollinators, the growth of figs improved greatly. The existence of both seeds and larvae of the pollinator, both of which is essential to the fitness of fig trees, may contribute to the improvement of the growth of the figs.
    The variation trend of development ratio is consistent with fig volume, which can be explained by the saction mechanism applying to uncooperative cheaters27,28,29,30,31. Jander et al.27,28,29 found that the Ficus tree can sanction the pollen-free pollinators through decreasing their offspring development ratio and increasing the abortion rate of the unpollinated figs. Almost all the non-pollinating figs wasp species lay their eggs in the female flowers but not spread pollen to the fig, which is analogous to the cheaters of pollinators. It makes sense that the same sanction mechanism works on the non-pollinating fig wasps. When only S. testacea oviposit in the fig, most of the figs aborted, and the fig tree invests little nutrition for the remaining figs that survived. With the increase of oviposition and pollination by pollinators (2Cf + St treatments versus St treatment), and the decrease of mechanical injury by NPFWs (2Cf treatments versus St treatment), fig trees invest more nutrition to those figs and the development ratio of the galls increases. Jander et al.28 argued that sanctions can be modular or individual. In a modular sanction, all the offspring produced in the fruit is punished due to involvement of non-cooperative individuals. Our experiment can be a good test of this hypothesis as we can investigate accurately the development of the pollinator and the cheater (S. testacea) respectively. By comparing the theoretical value and the actual number of galls for 2Cf + St treatment, we can explore the source that leads to the decrease of the overall development ratio in the 2Cf + St treatment compared with the 2Cf treatments, thus determine if the sanction works at fig level (modular) or not. We found there is no significant difference between theoretical value and the actual number for 2Cf + St treatment, which suggests that the development ratio of the two species is independent of each other, so the lower development ratio of 2Cf + St treatment compared with 2Cf treatment was caused mainly by the low development ratio of S. testacea. For 2Cf + St treatment, the development ratio of pollinator didn’t decrease, and being pollinated didn’t change the development ratio of S. testacea, which means pollination didn’t increase the nutrition provided to galls of. S. testacea. Our results show that the sanction is not at a fig level, which is inconsistent with the sanction to the cheaters in pollinators (pollen-free pollinators)28,30. Perhaps the sanction mechanism is related to the identification of the cheaters. When the host can identify the cheaters, the sanction can work at individual level where they may only sanction the offspring of cheaters, such as S. testacea in this study. If the host can’t identify the cheaters, the sanction may work at fig level (modularly) through sanctioning all the wasps reproduced in the fig, such as the cheaters in the pollinators.
    The production of seeds is influenced greatly by the wasp S. testacea. A former study shows that galls produced by early-ovipositing gallers often fill B-phase syconium cavities and hinder pollinator movement and oviposition24, which can explain the decline of the seed production. In our study, the oviposition behavior of pollinators was much less affected than the pollen spreading behavior due to the block of galls produced by S. testacea.
    For the treatments with the pollinators, figs with S. testacea (2Cf + St treatment) have more galls than figs without S. testacea (2Cf treatment). This indicts that the existence of galls produced by S. testacea has little effect on the egg-laying behavior of the pollinator. Since pollinators lay their eggs in the female flowers one by one and the number of eggs to be laid is much less than the number of pollen to be spread, it’s easy to understand that oviposition is less affected than pollen spreading.
    Our study shows that S. testacea has an obvious negative effect on the fig tree-fig pollinator mutualism. Oviposition by S. testacea leads to a drastic decrease in seed production, thus may harm the maintenance of stability of fig tree-fig pollinator mutualism if the fig is excessively parasitized by S. testacea. We think the mechanical injury from oviposition, the galling process, and the blocking of cavity by the galls of S. testacea may be responsible for the negative consequences. For figs in which only S. testacea oviposit, the total galls are much less than figs in which pollinators were introduced. There are two possible reasons. One possible reason is that the low density of the population of S. testacea results in the low oviposition rate. Another possible reason is that the fig tree may sanction the unpollinated figs, ie, the figs in which only S. testacea oviposit. Wang et al.30,31 found that the sanction mechanism also works on F. racemosa. Further more, they found that the sanction strength became stronger with an increase in foundresses30 (the wasps that enter the figs to oviposit). If too many S. testacea oviposit in figs, the figs are aborted more easily due to sanction by the tree. Only figs that contain a small number of galls survive.
    Although many studies9,11,13,14,15,16,17,18 have shown that NPFWs can have a negative effect on the fig tree-fig pollinator mutulism due to the reduction in pollinator offspring or the seed production, some study has found that the NPFWs also can play a positive role in maintaining the stability of this obligate mutualism32. For example, parasites may stabilize and maintain the fig and fig wasp system through their effects on within- and between-tree reproductive phenology32. More specifically, oviposition by NPFWs can result in the asynchrony of the development of the figs, and increase the probabilities of pollinators finding oviposition sites, which is good for the maintenance of this mutualism32. More

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    Seasonal variability of net sea-air CO2 fluxes in a coastal region of the northern Antarctic Peninsula

    1.
    Takahashi, T. et al. Climatological mean and decadal change in surface ocean pCO2, and net sea-air CO2 flux over the global oceans. Deep Res. Part II Top. Stud. Oceanogr. 56, 554–577 (2009).
    ADS  CAS  Google Scholar 
    2.
    Lenton, A. et al. Sea-air CO2 fluxes in the Southern Ocean for the period 1990–2009. Biogeosci. Discuss. 10, 285–333 (2013).
    ADS  Google Scholar 

    3.
    Takahashi, T. et al. Climatological distributions of pH, pCO2, total CO2, alkalinity, and CaCO3 saturation in the global surface ocean, and temporal changes at selected locations. Mar. Chem. 164, 95–125 (2014).
    CAS  Google Scholar 

    4.
    Roobaert, A. et al. The spatiotemporal dynamics of the sources and sinks of CO2 in the global coastal ocean. Glob. Biogeochem. Cycles https://doi.org/10.1029/2019GB006239 (2019).
    Article  Google Scholar 

    5.
    Gibson, J. A. E. & Trull, T. W. Annual cycle of fCO2 under sea-ice and in open water in Prydz Bay, East Antarctica. Mar. Chem. 66, 187–200 (1999).
    CAS  Google Scholar 

    6.
    Metzl, N., Bunet, C., Jabaud-Jan, A., Poisson, A. & Schauer, B. Summer and winter air–sea CO2 fluxes in the Southern Ocean. Deep Res. I 53, 1548–1563 (2006).
    CAS  Google Scholar 

    7.
    Roden, N. P., Shadwick, E. H., Tilbrook, B. & Trull, T. W. Annual cycle of carbonate chemistry and decadal change in coastal Prydz Bay, East Antarctica. Mar. Chem. 155, 135–147 (2013).
    CAS  Google Scholar 

    8.
    Legge, O. J. et al. The seasonal cycle of ocean-atmosphere CO2 flux in Ryder Bay, West Antarctic Peninsula. Geophys. Res. Lett. 42, 2934–2942 (2015).
    ADS  CAS  Google Scholar 

    9.
    Cavalieri, D. J. & Parkinson, C. L. Antarctic sea ice variability and trends, 1979–2006. J. Geophys. Res. 113, C07004 (2008).
    ADS  Google Scholar 

    10.
    Parkinson, C. L. & Cavalieri, D. J. Antarctic sea ice variability and trends, 1979–2010. Cryosphere 6, 871–880 (2012).
    ADS  Google Scholar 

    11.
    Karl, D. M., Tilbrook, B. D. & Tien, G. Seasonal coupling of organic matter production and particle flux in the western Bransfield Strait, Antarctica. Deep-Sea Res. 38, 1097–1126 (1991).
    ADS  CAS  Google Scholar 

    12.
    Takahashi, T., Olafsson, J., Goddard, J. G., Chipman, D. W. & Sutherland, S. C. Seasonal variation of CO2 and nutrients in the high-latitude surface oceans: a comparative study. Glob. Biogeochem. Cycles 7, 843–878 (1993).
    ADS  CAS  Google Scholar 

    13.
    Arrigo, K. R. & Van Dijken, G. L. Interannual variation in air-sea CO2 flux in the Ross Sea, Antarctica: a model analysis. J. Geophys. Res. Ocean. 112, 1–16 (2007).
    Google Scholar 

    14.
    Brown, M. S. et al. Enhanced oceanic CO2 uptake along the rapidly changing West Antarctic Peninsula. Nat. Clim. Change 9, 678–683 (2019).
    ADS  CAS  Google Scholar 

    15.
    Monteiro, T., Kerr, R., Orselli, I. B. M. & Lencina-Avila, J. M. Towards an intensified summer CO2 sink behaviour in the Southern Ocean coastal regions. Prog. Oceanogr. 183, 102267 (2020).
    Google Scholar 

    16.
    Caetano, L. S. et al. High-resolution spatial distribution of pCO2 in the coastal Southern Ocean in late spring. Antarct. Sci. 1, 1–10. https://doi.org/10.1017/S0954102020000334 (2020).
    Article  Google Scholar 

    17.
    Nomura, D. et al. Winter-to-summer evolution of pCO2 in surface water and air–sea CO2 flux in the seasonal ice zone of the Southern Ocean. Biogeosciences 11, 5749–5761 (2014).
    ADS  Google Scholar 

    18.
    Jones, E. M. et al. Ocean acidification and calcium carbonate saturation states in the coastal zone of the West Antarctic Peninsula Peninsula. Deep Sea Res. Part II Top. Stud. Oceanogr. 139, 181–194 (2017).
    ADS  CAS  Google Scholar 

    19.
    Legge, O. J. et al. The seasonal cycle of carbonate system processes in Ryder Bay, West Antarctic Peninsula. Deep Sea Res. Part II Top. Stud. Oceanogr. 139, 167–180 (2017).
    ADS  CAS  Google Scholar 

    20.
    Kerr, R. et al. Carbonate system properties in the Gerlache Strait, Northern Antarctic Peninsula (February 2015): I. Sea-air CO2 fluxes. Deep Sea Res. Part II Top. Stud. Oceanogr. 149, 171–181 (2018).
    ADS  CAS  Google Scholar 

    21.
    Kerr, R. et al. Carbonate system properties in the Gerlache Strait, Northern Antarctic Peninsula (February 2015): II. Anthropogenic CO2 and seawater acidification. Deep Res. Part II 149, 182–192 (2018).
    CAS  Google Scholar 

    22.
    Lencina-Avila, J. M. et al. Past and future evolution of the marine carbonate system in a coastal zone of the Northern Antarctic Peninsula. Seep Res. Part II Top. Stud. Oceanogr. 149, 193–205 (2018).
    ADS  CAS  Google Scholar 

    23.
    Dejong, H. B. & Dunbar, R. B. Air-sea CO2 exchange in the Ross Sea, Antarctica. J. Geophys. Res. Ocean 122, 8167–8181 (2017).
    ADS  CAS  Google Scholar 

    24.
    Henley, S. F. et al. Variability and change in the west Antarctic Peninsula marine system: research priorities and opportunities. Prog. Oceanogr. 173, 208–237 (2019).
    ADS  Google Scholar 

    25.
    Lenton, A., Matear, R. J. & Tilbrook, B. Design of an observational strategy for quantifying the Southern Ocean uptake of CO2. Glob. Biogeochem. Cycles 20, GB4010 (2006).
    ADS  Google Scholar 

    26.
    Bakker, D. C. E., Hoppema, M., Schröder, M., Geibert, W. & de Baar, H. J. W. A rapid transition from ice covered CO2–rich waters to a biologically mediated CO2 sink in the eastern Weddell Gyre. Biogeosciences 5, 1373–1386 (2008).
    ADS  CAS  Google Scholar 

    27.
    Arrigo, K. R., van Dijken, G. & Long, M. Coastal Southern Ocean: a strong anthropogenic CO2 sink. Geophys. Res. Lett. 35, 1–6 (2008).
    Google Scholar 

    28.
    Kerr, R., Mata, M. M., Mendes, C. R. B. & Secchi E. R. Northern Antarctic Peninsula: a marine climate hotspot of rapid changes on ecosystems and ocean dynamics. Deep Res. Part II Top. Stud. Oceanogr. 149, 4–9 (2018).
    ADS  Google Scholar 

    29.
    Nowacek, D. P. et al. Super-aggregations of Krill and Humpback Whales in Wilhelmina Bay, Antarctic Peninsula. PLoS ONE 6, e19173 (2011).
    ADS  CAS  PubMed  PubMed Central  Google Scholar 

    30.
    Dalla Rosa, L. et al. Movements of satellite-monitored humpback whales on their feeding ground along the Antarctic Peninsula. Polar Biol. 31, 771–781 (2008).
    Google Scholar 

    31.
    Mendes, C. R. B. et al. New insights on the dominance of cryptophytes in Antarctic coastal waters: a case study in Gerlache Strait. RDeep Res. Part II Top. Stud. Oceanogr. 149, 161–170 (2018).
    ADS  CAS  Google Scholar 

    32.
    Costa, R. R. et al. Dynamics of an intense diatom bloom in the Northern Antarctic Peninsula, February 2016. Limnol. Oceanogr. 66, 1–20 (2020).
    Google Scholar 

    33.
    Ito, R. G., Tavano, V. M., Mendes, C. R. B. & Garcia, C. A. E. Sea-air CO2 fluxes and pCO2 variability in the Northern Antarctic Peninsula during 3 summer periods (2008–202010). Deep Sea Res. Part II Top. Stud. Oceanogr. 149, 84–98 (2018).
    ADS  CAS  Google Scholar 

    34.
    Kim, H. et al. Inter-decadal variability of phytoplankton biomass along the coastal West Antarctic Peninsula. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 376(2122), 20170174 (2018).
    ADS  Google Scholar 

    35.
    Secchi, E. R. et al. Encounter rates and abundance of humpback whales (Megaptera novaeangliae) in Gerlache and Bransfield Straits, Antarctic Peninsula. J. Cetacean Res. Manag. 3, 107–111 (2011).
    Google Scholar 

    36.
    Prézelin, B. B., Hofmann, E. E., Mengelt, C. & Klinck, J. M. The linkage between upper circumpolar deep water (UCDW) and phytoplankton assemblages on the west Antarctic Peninsula continental shelf. J. Mar. Res. 58, 165–202 (2000).
    Google Scholar 

    37.
    Wadham, J. L. et al. Ice sheets matter for the global carbon cycle. Nat. Commun. 10, 3567 (2019).
    ADS  CAS  PubMed  PubMed Central  Google Scholar 

    38.
    Meredith, M. P. & King, J. C. Rapid climate change in the ocean west of the Antarctic Peninsula during the second half of the 20th century. Geophys. Res. Lett. 32, 1–5 (2005).
    Google Scholar 

    39.
    Moreau, S. et al. Climate change enhances primary production in the western Antarctic Peninsula. Glob. Change Biol. 21, 2191–2205 (2015).
    ADS  Google Scholar 

    40.
    da Cunha, L. C. et al. Contrasting end-summer distribution of organic carbon along the Gerlache Strait, Northern Antarctic Peninsula: Bio-physical interactions. Deep Sea Res. Part II Top. Stud. Oceanogr. 149, 206–217 (2018).
    ADS  Google Scholar 

    41.
    Avelina, R. et al. Contrasting dissolved organic carbon concentrations in the Bransfield Strait, northern Antarctic Peninsula: insights into Enso and Sam effects. J. Marine Syst. In press (2020)

    42.
    Smith, D. A., Hofmann, E. E., Klinck, J. M. & Lascara, C. M. Hydrography and circulation of the West Antarctic Peninsula continental shelf. Deep. Res. Part I 46, 925–949 (1999).
    Google Scholar 

    43.
    García, M. A. et al. Water masses and distribution of physico-chemical properties in the Western Bransfield Strait and Gerlache Strait during Austral summer 1995/96. Deep Sea Res. Part II Top. Stud. Oceanogr. 49, 585–602 (2002).
    ADS  Google Scholar 

    44.
    Couto, N., Martinson, D. G., Kohut, J. & Schofield, O. Distribution of upper circumpolar deep water on the warming continental shelf of the West Antarctic Peninsula. J. Geophys. Res. Oceans 122, 5306–5315 (2017).
    ADS  Google Scholar 

    45.
    Barllet, E. M. R. et al. On the temporal variability of intermediate and deep waters in the Western Basin of the Bransfield Strait. Deep Sea Part II Top. Stud. Oceanogr. 149, 31–46 (2018).
    ADS  Google Scholar 

    46.
    Cape, M. R. et al. Circumpolar deep water impacts glacial meltwater export and coastal biogeochemical cycling along the West Antarctic Peninsula. Front. Mar. Sci. 6, 144 (2019).
    Google Scholar 

    47.
    Venables, H. J., Meredith, M. P. & Brearley, A. Modification of deep waters in Marguerite Bay, western Antarctic Peninsula, caused by topographic overflows. Deep Res. Part II Top. Stud. Oceanogr. 139, 9–17 (2017).
    ADS  CAS  Google Scholar 

    48.
    Stammerjohn, S. E., Martinson, D. G., Smith, R. C., Yuan, X. & Rind, D. Trends in Antarctic annual sea ice retreat and advance and their relation to El Ninño-Southern Oscillation and Southern Annular Mode variability. J. Geophys. Res. 113, C03S90 (2008).
    ADS  Google Scholar 

    49.
    Dinniman, M. S., Klinck, J. M. & Hofmann, E. E. Sensitivity of circumpolar deep water transport and ice shelf basal melt along the West Antarctic Peninsula to changes in the winds. J. Clim. 25, 4799–4816 (2012).
    ADS  Google Scholar 

    50.
    Zhou, M., Niiler, P. P. & Hu, J. H. Surface currents in the Bransfield and Gerlache Straits, Antarctica. Deep Sea Res. Part I Oceanogr. Res. Pap. 49, 267–280 (2002).
    ADS  Google Scholar 

    51.
    Dotto, T. S., Kerr, R., Mata, M. M. & Garcia, C. A. E. Multidecadal freshening and lightening in the deep waters of the Bransfield Strait, Antarctica. J. Geophys. Res. Oceans. 121, 3741–3756 (2016).
    ADS  Google Scholar 

    52.
    Alvarez, M., Ríos, A. F. & Rosón, G. Spatio-temporal variability of air–sea fluxes of carbon dioxide and oxygen in the Bransfield and Gerlache Straits during. Dee. Res. 49, 643–662 (2002).
    CAS  Google Scholar 

    53.
    Mendes, C. R. B. et al. Shifts in the dominance between diatoms and cryptophytes during three late summers in the Bransfield Strait (Antarctic Peninsula). Polar Biol. 36, 537–547 (2013).
    Google Scholar 

    54.
    Mendes, C. R. B. et al. Impact of sea ice on the structure of phytoplankton communities in the northern Antarctic Peninsula. Deep Res. Part II Top. Stud. Oceanogr. 149, 111–123 (2018).
    ADS  CAS  Google Scholar 

    55.
    Lenton, A. et al. The observed evolution of oceanic pCO2 and its drivers over the last two decades. Glob. Biogeochem. Cycles 26, 1–14 (2012).
    MathSciNet  Google Scholar 

    56.
    Zeebe, R. E. History of seawater carbonate chemistry, atmospheric CO2 and ocean acidification. Annu. Rev. Earth Planet. Sci. 40, 141–165 (2012).
    ADS  CAS  Google Scholar 

    57.
    Lancelot, C., Mathot, S., Veth, C. & de Baar, H. Factors controlling phytoplankton ice-edge blooms in the marginal ice-zone of the northwestern Weddell Sea during sea ice retreat 1988: field observations and mathematical modelling. Polar Biol. 13, 377–387 (1993).
    Google Scholar 

    58.
    Santoso, A., Mcphaden, M. J. & Cai, W. The Defining Characteristics of ENSO extremes and the Strong 2015/2016 El Niño. Rev. Geophys. 55, 1079–1129 (2017).
    ADS  Google Scholar 

    59.
    Moffat, C., Owens, B. & Beardsley, R. C. On the characteristics of circumpolar deep water intrusions to the west Antarctic Peninsula continental shelf. J. Geophys. Res. Ocean. 114, 1–16 (2009).
    Google Scholar 

    60.
    Moffat, C. & Meredith, M. Shelf–ocean exchange and hydrography west of the Antarctic Peninsula: a review. Philos. Trans. R. Soc. A 376, 20170164 (2018).
    ADS  Google Scholar 

    61.
    Venables, H. J. & Meredith, M. P. Feedbacks between ice cover, ocean stratification, and heat content in Ryder Bay, western Antarctic Peninsula. J. Geophys. Res. Oceans 119, 5323–5336 (2014).
    ADS  Google Scholar 

    62.
    Parra, R. R. T., Laurido, A. L. C. & Sánchez, J. D. I. Hydrographic conditions during two austral summer situations (2015 and 2017) in the Gerlache and Bismarck straits, northern Antarctic Peninsula. Deep Res. Part I 161, 103278 (2020).
    Google Scholar 

    63.
    Nomura, D., Inoue, H. Y. & Toyota, T. The effect of sea-ice growth on air-sea CO2 flux in a tank experiment. Tellus 58B, 418–426 (2006).
    ADS  Google Scholar 

    64.
    Rysgaard, S. et al. Sea ice contribution to the air–sea CO2 exchange in the Arctic and Southern Oceans. Tellus 63B, 823–830 (2011).
    ADS  Google Scholar 

    65.
    Hauri, C. et al. Two decades of inorganic carbon dynamics along the West Antarctic Peninsula. Biogeosciences 12, 6761–6779 (2015).
    ADS  CAS  Google Scholar 

    66.
    Keppler, L. & Landschützer, P. Regional wind variability modulates the Southern Ocean carbon sink. Sci. Rep. 9, 7384 (2019).
    ADS  PubMed  PubMed Central  Google Scholar 

    67.
    Ouyang, Z. et al. Sea-ice loss amplifies summertime decadal CO2 increase in the western Arctic Ocean. Nat. Clim. Change 10, 678–684 (2020).
    ADS  CAS  Google Scholar 

    68.
    Dlugokencky, E. J., Lang, P. M., Masarie, K. A., Crotwell, A. M. & Crotwell, M. J. 2015. Atmospheric Carbon Dioxide Dry Air Mole Fractions from the NOAA ESRL Carbon Cycle Cooperative Global Air Sampling Network, 1968–2014, Version: 2015–09–08, ftp://aftp.cmdl.noaa.gov/data/trace_gases/co2/flask/surface.

    69.
    Turner, J. et al. Antarctic climate change and the environment: an update. Polar Rec. 50, 237–259 (2014).
    Google Scholar 

    70.
    Takahashi, T. et al. The changing carbon cycle in the Southern Ocean. Oceanography 25, 26–37 (2012).
    Google Scholar 

    71.
    Metzl, N. et al. Spatio-temporal distributions of air-sea fluxes of CO2 in the India and Antarctic oceans. Tellus 47B, 56–69 (1995).
    ADS  CAS  Google Scholar 

    72.
    McNeil, B. I., Metzl, N., Key, R. M., Matear, R. J. & Corbiere, A. An empirical estimate of the Southern Ocean air-sea CO2 flux. Glob. Biogeochem. Cycles 21, GB3011 (2007).
    ADS  Google Scholar 

    73.
    Siegert, M. et al. The Antarctic Peninsula under a 1.5°C global warming scenario. Front. Environ. Sci. 7, 102 (2019).
    Google Scholar 

    74.
    Shepherd, A. et al. Mass balance of the Antarctic ice sheet from 1992 to 2017. Nature 558, 219–226 (2018).
    ADS  Google Scholar 

    75.
    Del Castillo, C. E., Signorini, S. R., Karaköylü, E. M. & Rivero-Calle, S. Is the Southern Ocean getting greener?. Geophys. Res. Lett. 46, 6034–6040 (2019).
    ADS  Google Scholar 

    76.
    Lovenduski, N. S., Gruber, N., Doney, S. C. & Lima, I. D. Enhanced CO2 outgassing in the Southern Ocean from a positive phase of the Southern annular mode. Glob. Biogeochem. Cycles 21, GB2026 (2007).
    ADS  Google Scholar 

    77.
    Hauck, J. et al. Seasonally different carbon flux changes in the Southern Ocean in response to the southern annular mode. Glob. Biogeochem. Cycles 27, 1236–1245 (2013).
    ADS  CAS  Google Scholar 

    78.
    Bakker, D. C. E. et al. A multi-decade record of high-quality fCO2 data in version 3 of the Surface Ocean CO2 Atlas (SOCAT). Earth Syst. Sci. Data 8, 383–413 (2016).
    ADS  Google Scholar 

    79.
    Mata, M. M., Tavano, V. M. & García, C. A. E. 15 years sailing with the Brazilian High Latitude Oceanography Group (GOAL). Deep Res. Part II Top. Stud. Oceanogr. 149, 1–3 (2018).
    ADS  Google Scholar 

    80.
    Hellmer, H. H. & Rohardt, G. Physical oceanography during Ary Rongel cruise AR01. Alfred Wegener Institute, Helmholtz Center for Polar and Marine Research, Bremerhaven. PANGAEA https://doi.org/10.1594/PANGAEA.735276 (2010).
    Article  Google Scholar 

    81.
    Anadón, R. & Estrada, M. The FRUELA cruises: a carbon flux study in productive areas in the Antarctic Peninsula (December 1995–January 1996). Deep Sea Res. II 49, 567–583 (2002).
    ADS  Google Scholar 

    82.
    Patil, G. P. & Rao, C. R. Handbook of Statistics v 12 927 (Amsterdan, Environmental Statistics, 1994).
    Google Scholar 

    83.
    Lewis, E., Wallace, D. & Allison, L. J. Program Developed for CO2System Calculations System Calculations 38 (Carbon Dioxide Information Analysis Center, USA, 1998).
    Google Scholar 

    84.
    Pierrot, D., Lewis, E. & Wallace, D. W. R. MS Excel Program Developed for CO2 System Calculations, ORNL/CDIAC-105a (Carbon Dioxide Information Analysis Center. Oak Ridge National Laboratory, U.S. Department of Energy, Tennessee, 2006).
    Google Scholar 

    85.
    Millero, F. J. et al. Dissociation constants for carbonic acid determined from field measurements. Deep Res. Part I 49, 1705–1723 (2002).
    CAS  Google Scholar 

    86.
    Laika, H. E. et al. Interannual properties of the CO2 system in the Southern Ocean south of Australia. Antarct. Sci. 21, 663 (2009).
    ADS  Google Scholar 

    87.
    Goeyt, C. & Poisson, A. New determination of carbonic acid dissociation constants in seawater as a function of temperature and salinity. Deep Sea Res. Part A Ocean Res. Pap. 36, 1635–1654 (1989).
    ADS  Google Scholar 

    88.
    Dickson, A. G. Thermodynamics of the dissociation of boric acid in synthetic seawater from 273.15 to 318.15 K. Deep Sea Res. 37, 755–766 (1990).
    ADS  CAS  Google Scholar 

    89.
    Uppström, L. R. Boron/chlorinity ratio of deep-sea water from the Pacific Ocean. Deep Sea Res. 21, 161–162 (1974).
    Google Scholar 

    90.
    Deacon, E. L. Gas transfer to and across an air–water interface. Tellus 29(4), 363–374. https://doi.org/10.1111/j.2153-3490.1977.tb00724.x (1977).
    ADS  CAS  Article  Google Scholar 

    91.
    Wanninkhof, R. Relationship between wind speed and gas exchange over the ocean revisited. Limnol. Oceanogr. Methods 12, 351–362 (2014).
    Google Scholar 

    92.
    Weiss, R. F. Carbon dioxide in water and seawater: the solubility of a non-ideal gas. Mar. Chem. 2, 203–215 (1974).
    CAS  Google Scholar 

    93.
    Weiss, R. & Price, B. Nitrous oxide solubility in water and seawater. Mar. Chem. 8(4), 347–359. https://doi.org/10.1016/0304-4203(80)90024-9 (1980).
    CAS  Article  Google Scholar 

    94.
    Reynolds, R. W. et al. Daily high-resolution-blended analyses for sea surface temperature. J. Clim. 20(22), 5473–5496. https://doi.org/10.1175/2007JCLI1824.1 (2007).
    ADS  Article  Google Scholar 

    95.
    Troupin, C. et al. Generation of analysis and consistent error fields using the data interpolating variational analysis (Diva). Ocean Model. 52–53, 90–101 (2012).
    ADS  Google Scholar 

    96.
    Orr, J. C., Epitalon, J., Dickson, A. & Gattuso, J. Routine uncertainty propagation for the marine carbon dioxide system. Mar. Chem. 207, 84–107 (2018).
    CAS  Google Scholar 

    97.
    Grumbine, R. W. Automated passive microwave sea ice concentration analysis at NCEP. NOAA Tech. Note 120, 13 pp. 1996. [Available from NCEP/NWS/NOAA, 5200 Auth Road, Camp Springs, MD 20746.]

    98.
    Savidge, D. K. & Amft, J. A. Circulation on the West Antarctic Peninsula derived from 6 years of shipboard ADCP transects. Deep Res. Part I Oceanogr. Res. Pap. 56, 1633–1655 (2009).
    ADS  Google Scholar 

    99.
    Friis, K., Körtzinger, A. & Wallace, D. W. R. The salinity normalization of marine inorganic carbon chemistry data. Geophys. Res. Lett. 30(2), 1085. https://doi.org/10.1029/2002GL015898 (2003).
    ADS  CAS  Article  Google Scholar 

    100.
    Schlitzer, R. Ocean Data View, v. 5.3.0, https://odv.awi.de (2018). More

  • in

    The costs of removing the unsanctioned import of marine plastic litter to small island states

    1.
    Schröder, P. & Chillcott, V. The politics of marine plastics pollution. In The Circular Economy and the Global South: Sustainable Lifestyles and Green Industrial Development 43–46 (2019). https://doi.org/10.4324/9780429434006
    2.
    Jambeck, J. R. et al. Plastic waste inputs from land into the ocean. Science 347, 768–771 (2015).
    ADS  CAS  Article  Google Scholar 

    3.
    Rochman, C. M., Cook, A. & Koelmans, A. A. Plastic debris and policy: Using current scientific understanding to invoke positive change. Environ. Toxicol. Chem. 35, 1617–1626 (2016).
    CAS  Article  Google Scholar 

    4.
    Vince, J. & Hardesty, B. D. Plastic pollution challenges in marine and coastal environments: from local to global governance. Restor. Ecol. 25, 123–128 (2017).
    Article  Google Scholar 

    5.
    Clapp, J. & Swanston, L. Doing away with plastic shopping bags: international patterns of norm emergence and policy implementation. Environ. Polit. 18, 315–332 (2009).
    Article  Google Scholar 

    6.
    Xanthos, D. & Walker, T. R. International policies to reduce plastic marine pollution from single-use plastics (plastic bags and microbeads): a review. Mar. Pollut. Bull. 118, 17–26 (2017).
    CAS  Article  Google Scholar 

    7.
    Ten Brink, P. et al. Circular economy measures to keep plastics and their value in the economy, avoid waste and reduce marine litter. Econ. E-J. 1–12 (2018).

    8.
    Willis, K., Maureaud, C., Wilcox, C. & Hardesty, B. D. How successful are waste abatement campaigns and government policies at reducing plastic waste into the marine environment?. Mar. Policy 96, 243–249 (2018).
    Article  Google Scholar 

    9.
    Gove, J. M. et al. Prey-size plastics are invading larval fish nurseries. Proc. Natl. Acad. Sci. 201907496 (2019). https://doi.org/10.1073/pnas.1907496116

    10.
    Asakura, H., Matsuto, T. & Tanaka, N. Behavior of endocrine-disrupting chemicals in leachate from MSW landfill sites in Japan. Waste Manag. 24, 613–622 (2004).
    CAS  Article  Google Scholar 

    11.
    Bejgarn, S., MacLeod, M., Bogdal, C. & Breitholtz, M. Toxicity of leachate from weathering plastics: an exploratory screening study with Nitocra spinipes. Chemosphere 132, 114–119 (2015).
    ADS  CAS  Article  Google Scholar 

    12.
    Li, W. C., Tse, H. F. & Fok, L. Plastic waste in the marine environment: a review of sources, occurrence and effects. Sci. Total Environ. 566–567, 333–349 (2016).
    ADS  Article  Google Scholar 

    13.
    Gregory, M. R. The hazards of persistent marine pollution: drift plastics and conservation islands. J. R. Soc. N.. 21, 83–100 (1991).
    Article  Google Scholar 

    14.
    Wright, S. L., Thompson, R. C. & Galloway, T. S. The physical impacts of microplastics on marine organisms: a review. Environ. Pollut. 178, 483–492 (2013).
    CAS  Article  Google Scholar 

    15.
    Cartraud, A. E., Le Corre, M., Turquet, J. & Tourmetz, J. Plastic ingestion in seabirds of the western Indian Ocean. Mar. Pollut. Bull. 140, 308–314 (2019).
    CAS  Article  Google Scholar 

    16.
    UN Department of Economics and Social Affairs. World population prospects-population division—United Nations. Int. J. Logist. Manag. 9, 1–13 (2019).
    Google Scholar 

    17.
    Bourn, D. et al. The rise and fall of the Aldabran giant tortoise population. . Proc. R. Soc. Lond. Ser. B Biol. Sci. 266, 1091–1100 (1999).
    CAS  Article  Google Scholar 

    18.
    Mortimer, J. A., von Brandis, R. G., Liljevik, A., Chapman, R. & Collie, J. Fall and rise of nesting green turtles (Chelonia mydas) at Aldabra Atoll, seychelles: positive response to four decades of protection (1968–2008). Chelonian Conserv. Biol. 10, 165–176 (2011).
    Article  Google Scholar 

    19.
    Šúr, M., Bunbury, N. & Van De Crommenacker, J. Frigatebirds on Aldabra Atoll: population census, recommended monitoring protocol and sustainable tourism guidelines. Bird Conserv. Int. 23, 214–220 (2013).
    Article  Google Scholar 

    20.
    Van De Crommenacker, J. et al. Long-term monitoring of landbirds on Aldabra Atoll indicates increasing population trends. Bird Conserv. Int. 26, 337–349 (2016).
    Article  Google Scholar 

    21.
    Friedlander, A. et al. Biodiversity and ecosystem health of the Aldabra Group, Southern Seychelles – Scientific report to the government of Seychelles (2015).

    22.
    Harper, G. A. & Bunbury, N. Invasive rats on tropical islands: their population biology and impacts on native species. Glob. Ecol. Conserv. 3, 607–627 (2015).
    Article  Google Scholar 

    23.
    Prior, K. M., Adams, D. C., Klepzig, K. D. & Hulcr, J. When does invasive species removal lead to ecological recovery? Implications for management success. Biol. Invasions 20, 267–283 (2018).
    Article  Google Scholar 

    24.
    Brooks, T. M. et al. Habitat loss and extinction in the hotspots of biodiversity. Conserv. Biol. 16, 909–923 (2002).
    Article  Google Scholar 

    25.
    Courchamp, F., Hoffmann, B. D., Russell, J. C., Leclerc, C. & Bellard, C. Climate change, sea-level rise, and conservation: keeping island biodiversity afloat. Trends Ecol. Evol. 29, 127–130 (2014).
    Article  Google Scholar 

    26.
    Cherian, A. Linkages between biodiversity conservation and global climate change in small island developing States (SIDS). Nat. Resour. Forum 31, 128–131 (2007).
    Article  Google Scholar 

    27.
    Lavers, J. L. & Bond, A. L. Exceptional and rapid accumulation of anthropogenic debris on one of the world’s most remote and pristine islands. Proc. Natl. Acad. Sci. USA. 114, 6052–6055 (2017).
    CAS  Article  Google Scholar 

    28.
    Lavers, J. L., Dicks, L., Dicks, M. R. & Finger, A. Significant plastic accumulation on the Cocos (Keeling) Islands Australia. Sci. Rep. 9, 7102 (2019).
    ADS  CAS  Article  Google Scholar 

    29.
    Duhec, A. V., Jeanne, R. F., Maximenko, N. & Hafner, J. Composition and potential origin of marine debris stranded in the Western Indian Ocean on remote Alphonse Island Seychelles. Mar. Pollut. Bull. 96, 76–86 (2015).
    CAS  Article  Google Scholar 

    30.
    Dunlop, S. W., Dunlop, B. J. & Brown, M. Plastic pollution in paradise: daily accumulation rates of marine litter on Cousine Island. Seychelles. Mar. Pollut. Bull. https://doi.org/10.1016/j.marpolbul.2019.110803 (2019).
    Article  PubMed  Google Scholar 

    31.
    Beaumont, N. J. et al. Global ecological, social and economic impacts of marine plastic. Mar. Pollut. Bull. 142, 189–195 (2019).
    CAS  Article  Google Scholar 

    32.
    Eunomia. Plastics in the Marine Environment. Eunomia Research & Consulting Ltd. (2016) Study to Support the Development of Measures to Combat a Range of Marine Litter Sources, Report for DG Environment of the European Commission 1, (2016).

    33.
    Lebreton, L. et al. Evidence that the Great Pacific Garbage Patch is rapidly accumulating plastic. Sci. Rep. 8, 4666 (2018).
    ADS  CAS  Article  Google Scholar 

    34.
    Monteiro, R. C. P., Ivar do Sul, J. A. & Costa, M. F. Plastic pollution in islands of the Atlantic Ocean. Environ. Pollut. 238, 103–110 (2018).
    CAS  Article  Google Scholar 

    35.
    Edyvane, K. S. & Penny, S. S. Trends in derelict fishing nets and fishing activity in northern Australia: implications for trans-boundary fisheries management in the shared Arafura and Timor Seas. Fish. Res. 188, 23–37 (2017).
    Article  Google Scholar 

    36.
    Eriksen, M. et al. Plastic pollution in the World’s Oceans: more than 5 Trillion Plastic Pieces Weighing over 250,000 Tons Afloat at Sea. PLoS ONE 9, e111913 (2014).
    ADS  Article  Google Scholar 

    37.
    Seychelles Fishing Authority. SFA Fisheries Statistical Report Year 2016. (2016).

    38.
    Maufroy, A., Chassot, E., Joo, R. & Kaplan, D. M. Large-scale examination of spatio-temporal patterns of drifting fish aggregating devices (dFADs) from tropical tuna fisheries of the Indian and Atlantic Oceans. PLoS ONE 10, e0128023 (2015).
    Article  Google Scholar 

    39.
    Balderson, S. D. & Martin, L. E. C. Environmental impacts and causation of ‘ beached ’ Drifting Fish Aggregating Devices around Seychelles Islands: a preliminary report on data collected by Island Conservation Society. In 11th Work. Party Ecosyst. Bycatch, 7–11 Sept. 2015, Olhão, Port. 1–15 (2015).

    40.
    Bouwman, H., Evans, S. W., Cole, N., Choong Kwet Yive, N. S. & Kylin, H. The flip-or-flop boutique: marine debris on the shores of St Brandon’s rock, an isolated tropical atoll in the Indian Ocean. Mar. Environ. Res. 114, 58–64 (2016).
    CAS  Article  Google Scholar 

    41.
    Knowles, C. The flip-flop trail and fragile globalization. Theory Cult. Soc. 32, 231–244 (2015).
    Article  Google Scholar 

    42.
    Ryan, P. G., Dilley, B. J., Ronconi, R. A. & Connan, M. Rapid increase in Asian bottles in the South Atlantic Ocean indicates major debris inputs from ships. Proc. Natl. Acad. Sci. USA 116, 20892–20897 (2019).
    ADS  CAS  Article  Google Scholar 

    43.
    Lebreton, L. C. M. et al. River plastic emissions to the world’s oceans. Nat. Commun. 8, 15611 (2017).
    ADS  CAS  Article  Google Scholar 

    44.
    Talma, E. & Martin, M. The Status of Waste Management in Seychelles. (2013).

    45.
    Adelene Lai, J. H. & Pius Krütli, & M. S. Solid Waste Management in the Seychelles. USYS TdLab Transdisciplinary Case Study (2016).

    46.
    Quanz, C., Fleischer-Dogley, F. & Frühauf, M. Compatibility of nature conservation and tourism on the seychelles islands; potentials, projects and problems. Hercynia 42, 1–20 (2009).
    Google Scholar 

    47.
    Hoornweg, D., Bhada-Tata, P. & Kennedy, C. Waste production must peak this century. Nature 615–617 (2013).

    48.
    Lamb, J. B. et al. Plastic waste associated with disease on coral reefs. Science 359, 460–462 (2018).
    ADS  CAS  Article  Google Scholar 

    49.
    Stoddart, D. R. & Mole, L. U. Climate of Aldabra Atoll. Atoll Res. Bull. 202, 1–21 (1977).
    Article  Google Scholar 

    50.
    Lopez, J., Moreno, G., Sancristobal, I. & Murua, J. Evolution and current state of the technology of echo-sounder buoys used by Spanish tropical tuna purse seiners in the Atlantic Indian and Pacific Oceans. Fish. Res. 155, 127–137 (2014).
    Article  Google Scholar 

    51.
    Fonteneau, A., Chassot, E. & Bodin, N. Global spatio-temporal patterns in tropical tuna purse seine fisheries on drifting fish aggregating devices (DFADs): taking a historical perspective to inform current challenges. Aquat. Living Resour 26, 37–48 (2013).
    Article  Google Scholar  More

  • in

    Millennial climate oscillations controlled the structure and evolution of Termination II

    Trabaque tufa record
    Trabaque Canyon (40.36° N; 2.26° W; 840 m above sea level) is located in the central Iberian Peninsula (Fig. 1). At this site, tufa deposits precipitate as freshwater carbonates downstream of overflow karst springs. During the last interglacial period, tufa precipitated continuously at the studied site while water level of the aquifer was high enough for upstream springs to discharge13. Outcrops of the studied tufa deposit are preserved in the margins of Trabaque River over a distance of 500 m downstream of overflow karstic springs. The studied tufa deposit is 12 m thick, with a gentle ramp morphology, and a simple stratigraphy of sub-horizontal tufa beds that covered the full section of the narrow canyon. The accumulation of tufa created a small lake upstream the ramp, which prevented erosive events while the deposit was active, because most of the river bedload was accumulated in the basin of the lake. This configuration favoured the lack of erosive episodes in the tufa and the deposition of a continuous record. The tufa deposit was partially eroded by subsequent fluvial incision once the tufa accretion ceased and detrital sediments filled the lake basin and started to flow over the ramp during floods. The tufa deposit is mostly composed of well-cemented intra-clastic and peloidal carbonate particles13. The deposit comprises tufa beds 0.02–1 m thick that typically extend tens of metres downstream. At the base of the section, the tufa lies over loose fluvial sediments of sandy silt, whereas at the top of the section there is an erosive scar, and recent gravitational deposits overlay the tufa preserved in the slopes of the canyon.
    Figure 1

    Pictures of Trabaque Canyon and the studied deposit. (a) Trabaque Canyon. The river flows according to yellow arrows. The red ellipse shows the location of the main section where the deposit was sampled. The inlet map shows the location of Trabaque Canyon within the Iberian Peninsula. (b) View of most of the studied Trabaque tufa section. The base and top of the section are missing from this panorama. The centre of the valley bottom is to the left of the image and the slope of the canyon to the right. The river flowed from the position of the observer towards the tufa deposit. The picture shows gravitational pulses GP-2 and GP-3 that interdigitate with the tufa deposit, and their disappearance from the bottom of the valley after GP-3. (c) Detail of GP-3 gravitational deposit. (d) Detail of the alternation between well-cemented and loose tufa beds at the top of the section.

    Full size image

    The base of the deposit section is characterized by nearly 4 m of tufa sediments in the centre of the valley, laterally interdigitating with gravitational deposits towards the slopes (Fig. 1). These gravitational deposits partially invaded the bottom of the valley during three distinct pulses. These gravitational deposits occurred during periods of enhanced slope processes due to the decrease in vegetation cover on the canyon slopes during prolonged dry periods. The evidence of local erosion recorded by the gravitational deposits is consistent with other proxies that record local and regional erosion and that are displayed in Fig. 2. Thus, independent evidence of erosion is also recognized from the increase of insoluble residue (IR) particles in the tufa, recorded by the percentage of silt IR. IR particles were transported to the tufa by the river or by the action of wind. The increase of these particles in the tufa is interpreted as enhanced erosion, not only from the catchment but also from outside the basin. Higher concentrations of Si and Al are also interpreted as proxies of soil erosion from areas with silicate substrates inside or outside the catchment. The increase of micro-charcoal particles in the tufa is also interpreted as a sign of enhanced soil erosion. Charcoals were incorporated to the tufa during floods or transported by the wind after the occurrence of fires, as well as from the erosion of soils that accumulated charcoals from previous fire events. In any case, the increase of micro-charcoals in the tufa record suggests soil erosion due to the lost of vegetation cover. Major events of local and regional erosion occurred synchronously (Fig. 2), supporting that the common decreases in vegetation cover that resulted in erosion events were related to periods of reduced precipitation.
    Figure 2

    Record of the Trabaque tufa deposit. (a) Simplified lithological log of the Trabaque record. Patterns represent gravitational deposits (black) with distinct three pulses, well-cemented tufa sediments (light grey), and alternation of well-cemented and loose tufa sediments (dark grey). (b,c) Tufa δ18O and δ13C records. Isotope values at each date (dots) are the average of 3 sub-samples and blue/red line is a 3-point running mean. The grey shade shows the 1σ variability of the three sub-samples along the record. (d) Concentration of Si and Al. (e) Silt-sized insoluble residue in tufa as percentage of the total sample. (f) Counts of micro-charcoal particles  More

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    Iron moves out

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    Effects of different agronomic practices on the selective soil properties and nitrogen leaching of black soil in Northeast China

    General situation of the research area
    The research area was conducted at Liufangzi village, Gongzhuling city, Jilin Province (N43°34′10″, E124°52′55″), as shown in Fig. 8. The area has a continental monsoon climate in the humid area of the middle temperate zone, with an average annual precipitation of 594.8 mm, which is mainly concentrated in June and August. The average annual temperature is 5.6 °C, and the daily average temperature drops to 0 °C in November of each year, with a freezing period of up to five months. Corn is one of the main commodity crops in the area, with a sowing date in early May and a harvest date in early October.
    Figure 8

    Location of study area (Liufangzi Village, Gongzhuling City, Jilin Province).

    Full size image

    The soil of the site is a silty loam black soil, which had been planted with monoculture corn with no tillage for 5 years. On October 5, 2018 (after the autumn harvest), a flat field was selected to set up the experiment. Soil samples were collected using the zigzag sampling method, and selective physical and chemical properties of soil were determined, including pH (5.48), organic matter (26.4 g kg−1), clay (29.12%), and soil bulk density (1.21 g cm−3 in 5–10 cm and 1.53 g cm−3 in 20–25 cm).
    Reagents and instruments
    Reagents
    The main raw material of the added impervious agent was corn starch and acrylic compound, which was entrusted to Jilin Yida Chemical Co., Ltd. The added urea was an analytical reagent, and the reagents used for analysis included H2SO4, H3PO4, NaOH, NH4OH, NH4Cl, K2S2O8, Na2B4O7, KNO3, KNO2, K2Cr2O7, FeSO4, sulfonamide, and naphthalene ethylenediamine hydrochloride; these were all analytical reagents provided by Beijing Chemical Plant.
    Instruments laboratory-built soil leaching column; continuous flow injection analyser (SKALAR SA++, Netherlands).
    Test plot setup and agronomic practices
    The experimental plots were maintained in the field consisting of (1) CK (no-tillage control treatment, with corn straw removed and soil left under no-till management); (2) ploughing treatment (corn straw was removed and then mouldboard ploughed to a 30 cm depth); (3) straw returning treatment (corn straw (25.32% moist) was incorporated into the soil on October 5, 2018 (after autumn harvest), with an application amount of 1.25 kg m−2. Briefly, corn straw was chopped into small pieces (0.5 cm length), evenly placed on the soil surface, and then incorporated into the soil with ploughing (the depth of 30 cm)); and (4) impervious agent addition treatment (the impervious agent mentioned previously evenly laid on the soil surface at the amount of 15 g m−2 and then incorporated into the 0–30 cm soil by mouldboard ploughing). The abovementioned field operations were conducted after corn harvest in the fall of 2018 with a testing area of 10 m × 50 m for each plot and three replicates for each treatment. In the following spring (2019), grain corn was planted in all treatment plots with a planting density of 65,000 plants ha−1. All plots were managed in the same way with a one-time fertilization application of 200–90-90 kg (N-P-K) ha−1 and 2,4-d spray as weed control.
    For all the above treatments (including the control treatment), undisturbed soils (0–30 cm layer) were collected with an undisturbed soil column (refer to Fig. 9) for the leaching experiment on September 25, 2019 (before autumn harvest, after 350 days of straw returning to the field); soil samples of 0–15 cm were collected for determination of soil organic matter and adsorption experiment of nitrogen in the soil; and soil samples of 5–10 cm and 20–25 cm layers were collected for determination of soil bulk density. In addition, for the straw returning treatment, one sampling was added on May 25, 2019 (one month after sowing, 230 days after straw returning), for the determination of soil organic matter content and soil bulk density, nitrogen adsorption and leaching experiment in soil.
    Figure 9

    Schematic diagram of simulated leaching device of undisturbed soil column. (a) Soil extraction; (b) leaching; (c) physical map of leaching in undisturbed soil column. 1: Handle; 2.3.4: guide port; 5.6: screw port; 7: punching plate. I main body of leaching column; II soil cutter; III leaching solution collector.

    Full size image

    The soil samples used for soil organic matter determination and nitrogen absorption testing were air dried, sieved through a 2-mm sieve and visible plant debris and stones were removed, and then stored.
    Experiment of nitrogen adsorption in soil
    Ten parts of the soil samples (air-dried,  More

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    The future of endangered crayfish in light of protected areas and habitat fragmentation

    1.
    Erős, T., O’Hanley, J. R. & Czeglédi, I. A unified model for optimizing riverscape conservation. J. Appl. Ecol. 55, 1871–1883 (2018).
    Google Scholar 
    2.
    Ruggeri, P., Pasternak, E. & Okamura, B. To remain or leave: Dispersal variation and its genetic consequences in benthic freshwater invertebrates. Ecol. Evol. 9, 12069–12088 (2019).
    PubMed  PubMed Central  Google Scholar 

    3.
    Baguette, M., Blanchet, S., Legrand, D., Stevens, V. M. & Turlure, C. Individual dispersal, landscape connectivity and ecological networks. Biol. Rev. 88, 310–326 (2013).
    PubMed  Google Scholar 

    4.
    Geist, J. Seven steps towards improving freshwater conservation. Aquat. Conserv. Mar. Freshw. Ecosyst. 25, 447–453 (2015).
    Google Scholar 

    5.
    Kujala, H., Lahoz-Monfort, J. J., Elith, J. & Moilanen, A. Not all data are equal: Influence of data type and amount in spatial conservation prioritisation. Methods Ecol. Evol. 9, 2249–2261 (2018).
    Google Scholar 

    6.
    Johnson, J. B., Peat, S. M. & Adams, B. J. Where’s the ecology in molecular ecology?. Oikos 118, 1601–1609 (2009).
    Google Scholar 

    7.
    Janse, J. H. et al. GLOBIO-aquatic, a global model of human impact on the biodiversity of inland aquatic ecosystems. Environ. Sci. Policy 48, 99–114 (2015).
    Google Scholar 

    8.
    Newbold, T. et al. Global effects of land use on local terrestrial biodiversity. Nature 520, 45–50 (2015).
    ADS  PubMed  CAS  Google Scholar 

    9.
    Moore, D., Cranston, G., Reed, A. & Galli, A. Projecting future human demand on the Earth’s regenerative capacity. Ecol. Indic. 16, 3–10 (2012).
    Google Scholar 

    10.
    Yawson, D. O., Adu, M. O. & Armah, F. A. Impacts of climate change and mitigation policies on malt barley supplies and associated virtual water flows in the UK. Sci. Rep. 10, 1–12 (2020).
    Google Scholar 

    11.
    Naidoo, R. et al. Global mapping of ecosystem services and conservation priorities. Proc. Natl. Acad. Sci. USA 105, 9495–9500 (2008).
    ADS  PubMed  CAS  Google Scholar 

    12.
    Hermoso, V., Villero, D., Clavero, M. & Brotons, L. Spatial prioritisation of EU’s LIFE-Nature programme to strengthen the conservation impact of Natura 2000. J. Appl. Ecol. 55, 1575–1582 (2018).
    Google Scholar 

    13.
    Hermoso, V., Morán-Ordóñez, A., Canessa, S. & Brotons, L. Realising the potential of Natura 2000 to achieve EU conservation goals as 2020 approaches. Sci. Rep. 9, 1–10 (2019).
    CAS  Google Scholar 

    14.
    Lobera, G., Pardo, I., García, L. & García, C. Disentangling spatio-temporal drivers influencing benthic communities in temporary streams. Aquat. Sci. 81, 1–17 (2019).
    CAS  Google Scholar 

    15.
    Richman, N. I. et al. Multiple drivers of decline in the global status of freshwater crayfish (Decapoda: Astacidea). Philos. Trans. R. Soc. B Biol. Sci. 370, 20140060 (2015).

    16.
    Manenti, R. et al. Causes and consequences of crayfish extinction: Stream connectivity, habitat changes, alien species and ecosystem services. Freshw. Biol. 64, 284–293 (2019).
    Google Scholar 

    17.
    Kozák, P., Füreder, L., Kouba, A., Reynolds, J. & Souty-Grosset, C. Current conservation strategies for European crayfish. Knowl. Manag. Aquat. Ecosyst. 01, https://doi.org/10.1051/kmae/2011018 (2011).

    18.
    Pârvulescu, L. Introducing a new Austropotamobius crayfish species (Crustacea, Decapoda, Astacidae): A miocene endemism of the Apuseni Mountains, Romania. Zool. Anz. 279, 94–102 (2019).
    Google Scholar 

    19.
    Kouba, A., Petrusek, A. & Kozák, P. Continental-wide distribution of crayfish species in Europe: Update and maps. Knowl. Manag. Aquat. Ecosyst. 413, 05–31 (2014).
    Google Scholar 

    20.
    Pârvulescu, L. et al. A journey on plate tectonics sheds light on European crayfish phylogeography. Ecol. Evol. 9, 1957–1971 (2019).
    PubMed  PubMed Central  Google Scholar 

    21.
    Pârvulescu, L. & Zaharia, C. Current limitations of the stone crayfish distribution in Romania: Implications for its conservation status. Limnologica 43, 143–150 (2013).
    Google Scholar 

    22.
    Klobučar, G. I. V. et al. Role of the Dinaric Karst (western Balkans) in shaping the phylogeographic structure of the threatened crayfish Austropotamobius torrentium. Freshw. Biol. 58, 1089–1105 (2013).
    Google Scholar 

    23.
    Qian, S. S., Cuffney, T. F., Alameddine, I., McMahon, G. & Reckhow, K. H. On the application of multilevel modeling in environmental and ecological studies. Ecology 91, 355–361 (2010).
    PubMed  Google Scholar 

    24.
    Manning, P. et al. Redefining ecosystem multifunctionality. Nat. Ecol. Evol. 2, 427–436 (2018).
    PubMed  Google Scholar 

    25.
    Koizumi, I., Usio, N., Kawai, T., Azuma, N. & Masuda, R. Loss of genetic diversity means loss of geological information: The endangered Japanese crayfish exhibits remarkable historical footprints. PLoS ONE 7, e33986 (2012).
    ADS  PubMed  PubMed Central  CAS  Google Scholar 

    26.
    McNyset, K. M. Use of ecological niche modelling to predict distributions of freshwater fish species in Kansas. Ecol. Freshw. Fish 14, 243–255 (2005).
    Google Scholar 

    27.
    Henrys, P. A. & Jarvis, S. G. Integration of ground survey and remote sensing derived data: Producing robust indicators of habitat extent and condition. Ecol. Evol. 9, 8104–8112 (2019).
    PubMed  PubMed Central  Google Scholar 

    28.
    Pârvulescu, L., Zaharia, C., Satmari, A. & Drăguţ, L. Is the distribution pattern of the stone crayfish in the Carpathians related to karstic refugia from Pleistocene glaciations?. Freshw. Sci. 32, 1410–1419 (2013).
    Google Scholar 

    29.
    Longshaw, M. & Stebbing, P. Biology and Ecology of Crayfish. (CRC Press, 2015).

    30.
    Chucholl, C. The bad and the super-bad: Prioritising the threat of six invasive alien to three imperilled native crayfishes. Biol. Invasions 18, 1967–1988 (2016).
    Google Scholar 

    31.
    Chucholl, C. & Schrimpf, A. The decline of endangered stone crayfish (Austropotamobius torrentium) in southern Germany is related to the spread of invasive alien species and land-use change. Aquat. Conserv. Mar. Freshw. Ecosyst. 26, 44–56 (2016).
    Google Scholar 

    32.
    Pârvulescu, L. et al. Flash-flood potential: A proxy for crayfish habitat stability. Ecohydrology 9, 1507–1516 (2016).
    Google Scholar 

    33.
    Farr, T. G. et al. The shuttle radar topography mission. Rev. Geophys. 45, RG2004 (2007).

    34.
    Şandric, I. et al. Integrating catchment land cover data to remotely assess freshwater quality: A step forward in heterogeneity analysis of river networks. Aquat. Sci. 81, 26 (2019).
    Google Scholar 

    35.
    Burkhard, B., Kroll, F., Nedkov, S. & Müller, F. Mapping ecosystem service supply, demand and budgets. Ecol. Indic. 21, 17–29 (2012).
    Google Scholar 

    36.
    Zeller, K. A., McGarigal, K. & Whiteley, A. R. Estimating landscape resistance to movement: A review. Landsc. Ecol. 27, 777–797 (2012).
    Google Scholar 

    37.
    Liaw, A. & Wiener, M. Classification and regression by randomForest. R News 2, 18–22 (2002).
    Google Scholar 

    38.
    R Core Team. R: A Language and Environment for Statistical Computing. (R Foundation for Statistical Computing, 2017).

    39.
    Freeman, E. A. & Moisen, G. G. A comparison of the performance of threshold criteria for binary classification in terms of predicted prevalence and kappa. Ecol. Modell. 217, 48–58 (2008).
    Google Scholar 

    40.
    Iorgu, E. I., Popa, O. P., Petrescu, A.-M. & Popa, L. O. Cross-amplification of microsatellite loci in the endangered stone-crayfish Austropotamobius torrentium (Crustacea: Decapoda). Knowl. Manag. Aquat. Ecosyst. 08, https://doi.org/10.1051/kmae/2011021 (2011).

    41.
    Peakall, R. & Smouse, P. E. genalex 6: Genetic analysis in Excel. Population genetic software for teaching and research. Mol. Ecol. Notes 6, 288–295 (2006).

    42.
    Goudet, J. FSTAT (Version 1.2): A computer program to calculate F-statistics. J. Hered. 86, 485–486 (1995).

    43.
    Rousset, F. genepop’007: A complete re-implementation of the genepop software for Windows and Linux. Mol. Ecol. Resour. 8, 103–106 (2008).
    PubMed  Google Scholar 

    44.
    Van Oosterhout, C., Hutchinson, W. F., Wills, D. P. & Shipley, P. micro-checker: Software for identifying and correcting genotyping errors in microsatellite data. Mol. Ecol. Notes 4, 535–538 (2004).
    Google Scholar 

    45.
    Dempster, A. P., Laird, N. M. & Rubin, D. B. Maximum likelihood from incomplete data via the EM algorithm. J. R. Stat. Soc. Ser. B 39, 1–22 (1977).
    MathSciNet  MATH  Google Scholar 

    46.
    Chapuis, M. P. & Estoup, A. Microsatellite null alleles and estimation of population differentiation. Mol. Biol. Evol. 24, 621–631 (2007).
    PubMed  CAS  Google Scholar 

    47.
    Weir, B. S. & Cockerham, C. C. Estimating F‐statistics for the analysis of population structure. Evolution (N. Y). 38, 1358–1370 (1984).

    48.
    Hammer, D. A. T., Ryan, P. D., Hammer, Ø. & Harper, D. A. T. Past: Paleontological Statistics Software Package for Education and Data Analysis. Palaeontologia Electronica vol. 4 https://palaeo-electronica.orghttp//palaeo-electronica.org/2001_1/past/issue1_01.htm. (2001).

    49.
    Nei, M., Tajima, F. & Tateno, Y. Accuracy of estimated phylogenetic trees from molecular data. J. Mol. Evol. 19, 153–170 (1983).
    ADS  PubMed  CAS  Google Scholar 

    50.
    Langella, O. Populations, 1.2. 30. https://bioinformatics.org/~tryphon/populations (1999).

    51.
    Pritchard, J. K., Stephens, M., Rosenberg, N. A. & Donnelly, P. Association mapping in structured populations. Am. J. Hum. Genet. 67, 170–181 (2000).
    PubMed  PubMed Central  CAS  Google Scholar 

    52.
    Evanno, G., Regnaut, S. & Goudet, J. Detecting the number of clusters of individuals using the software STRUCTURE: A simulation study. Mol. Ecol. 14, 2611–2620 (2005).
    PubMed  CAS  Google Scholar 

    53.
    Kopelman, N. M., Mayzel, J., Jakobsson, M., Rosenberg, N. A. & Mayrose, I. Clumpak: A program for identifying clustering modes and packaging population structure inferences across K. Mol. Ecol. Resour. 15, 1179–1191 (2015).
    PubMed  PubMed Central  CAS  Google Scholar 

    54.
    Vähä, J. P. & Primmer, C. R. Efficiency of model-based Bayesian methods for detecting hybrid individuals under different hybridization scenarios and with different numbers of loci. Mol. Ecol. 15, 63–72 (2005).
    Google Scholar 

    55.
    Bergl, R. A. & Viglant, L. Genetic analysis reveals population structure and recent migration within the highly fragmented range of the Cross River gorilla (Gorilla gorilla diehli). Mol. Ecol. 16, 501–516 (2006).
    Google Scholar 

    56.
    Jombart, T., Devillard, S. & Balloux, F. Discriminant analysis of principal components: A new method for the analysis of genetically structured populations. BMC Genet. 11, 1–15 (2010).
    Google Scholar 

    57.
    Paetkau, D., Calvert, W., Stirling, I. & Strobeck, C. Microsatellite analysis of population structure in Canadian polar bears. Mol. Ecol. 4, 347–354 (1995).
    PubMed  CAS  Google Scholar 

    58.
    Duchesne, P. & Turgeon, J. FLOCK Provides Reliable Solutions to the ‘“Number of Populations”’ Problem. https://doi.org/10.1093/jhered/ess038.

    59.
    Janes, J. K. et al. The K = 2 conundrum. Mol. Ecol. 26, 3594–3602 (2017).
    PubMed  Google Scholar 

    60.
    Funk, S. M. et al. Major inconsistencies of inferred population genetic structure estimated in a large set of domestic horse breeds using microsatellites. Ecol. Evol. 10, 4261–4279 (2020).
    PubMed  PubMed Central  Google Scholar 

    61.
    Berger, C., Štambuk, A., Maguire, I., Weiss, S. & Füreder, L. Integrating genetics and morphometrics in species conservation—A case study on the stone crayfish, Austropotamobius torrentium. Limnologica 69, 28–38 (2018).
    Google Scholar 

    62.
    Iojă, C. I. et al. The efficacy of Romania’s protected areas network in conserving biodiversity. Biol. Conserv. 143, 2468–2476 (2010).
    Google Scholar 

    63.
    Rabăgia, T. & Maţenco, L. Tertiary tectonic and sedimentological evolution of the South Carpathians foredeep: Tectonic vs eustatic control. Mar. Pet. Geol. 16, 719–740 (1999).

    64.
    Rãdoane, M., Rãdoane, N. & Dumitriu, D. Geomorphological evolution of longitudinal river profiles in the Carpathians. Geomorphology 50, 293–306 (2003).
    ADS  Google Scholar 

    65.
    Helms, B., Loughman, Z. J., Brown, B. L. & Stoeckel, J. Recent advances in crayfish biology, ecology, and conservation. Freshw. Sci. 32, 1273–1275 (2013).
    Google Scholar 

    66.
    Svobodová, J. et al. The relationship between water quality and indigenous and alien crayfish distribution in the Czech Republic: Patterns and conservation implications. Aquat. Conserv. Mar. Freshw. Ecosyst. 22, 776–786 (2012).
    Google Scholar 

    67.
    Pöckl, M. & Streissl, F. Austropotamobius torrentium as an indicator for habitat quality in running waters? Bull. Français la Pêche la Piscic. 743–758, https://doi.org/10.1051/kmae:2005030 (2005).

    68.
    Magyar, I. et al. Progradation of the paleo-Danube shelf margin across the Pannonian Basin during the Late Miocene and Early Pliocene. Glob. Planet. Change 103, 168–173 (2013).
    ADS  Google Scholar 

    69.
    Zhang, Y., Luan, P., Ren, G., Hu, G. & Yin, J. Estimating the inbreeding level and genetic relatedness in an isolated population of critically endangered Sichuan taimen (Hucho Bleekeri) using genome-wide SNP markers. Ecol. Evol. 10, 1390–1400 (2020).
    PubMed  PubMed Central  Google Scholar 

    70.
    Hoarau, G. et al. Low effective population size and evidence for inbreeding in an overexploited flatfish, plaice (Pleuronectes platessa L.). Proc. Biol. Sci. 272, 497–503 (2005).

    71.
    Jourdan, J. et al. Reintroduction of freshwater macroinvertebrates: Challenges and opportunities. Biol. Rev. https://doi.org/10.1111/brv.12458 (2018).
    Article  PubMed  Google Scholar 

    72.
    Oidtmann, B., Heitz, E., Rogers, D. & Hoffmann, R. Transmission of crayfish plague. Dis. Aquat. Organ. 52, 159–167 (2002).
    PubMed  Google Scholar 

    73.
    Rusch, J. C. et al. Simultaneous detection of native and invasive crayfish and Aphanomyces astaci from environmental DNA samples in a wide range of habitats in Central Europe. NeoBiota (2020).

    74.
    Hall, Q. A., Curtis, J. M., Williams, J. & Stunz, G. W. The importance of newly-opened tidal inlets as spawning corridors for adult Red Drum (Sciaenops ocellatus). Fish. Res. 212, 48–55 (2019).
    Google Scholar 

    75.
    Stewart, F. E. C., Darlington, S., Volpe, J. P., McAdie, M. & Fisher, J. T. Corridors best facilitate functional connectivity across a protected area network. Sci. Rep. 9, 10852 (2019).
    ADS  PubMed  PubMed Central  Google Scholar 

    76.
    Strauss, A., White, A. & Boots, M. Invading with biological weapons: The importance of disease-mediated invasions. Funct. Ecol. 26, 1249–1261 (2012).
    Google Scholar 

    77.
    Clavero, M. & García-Berthou, E. Invasive species are a leading cause of animal extinctions. Trends Ecol. Evol. 20, 110 (2005).
    PubMed  Google Scholar 

    78.
    Nunes, A. L., Tricarico, E., Panov, V. E., Cardoso, A. C. & Katsanevakis, S. Pathways and gateways of freshwater invasions in Europe. Aquat. Invasions 10, 359–370 (2015).
    Google Scholar 

    79.
    Zeng, Y. & Yeo, D. C. J. Assessing the aggregated risk of invasive crayfish and climate change to freshwater crabs: A Southeast Asian case study. Biol. Conserv. 223, 58–67 (2018).
    Google Scholar 

    80.
    Alonso, F., Temino, C. & Diéguez-Uribeondo, J. Status of the white-clawed crayfish, Austropotamobius pallipes (Lereboullet, 1858), in Spain: Distribution and legislation. 31–53 (2000).

    81.
    Van Dyck, H. & Baguette, M. Dispersal behaviour in fragmented landscapes: Routine or special movements?. Basic Appl. Ecol. 6, 535–545 (2005).
    Google Scholar 

    82.
    Rodrigues, A. S. L., Pilgrim, J. D., Lamoreux, J. F., Hoffmann, M. & Brooks, T. M. The value of the IUCN Red List for conservation. Trends Ecol. Evol. 21, 71–76 (2006).
    PubMed  Google Scholar 

    83.
    Füreder, L., Gherardi, F. & Souty-Grosset, C. Austropotamobius torrentium. The IUCN Red List of Threatened Species 2010 e.T2431A9439449 https://doi.org/10.2305/IUCN.UK.2010-3.RLTS.T2431A9439449.en (2010). More