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in EcologyBowhead whales use two foraging strategies in response to fine-scale differences in zooplankton vertical distribution
1.
Laidre, K. L., Heide-Jørgensen, M. P., Nielsen, T. G. & Gissel Nielsen, T. Role of the bowhead whale as a predator in West Greenland. Mar. Ecol. Prog. Ser. 346, 285–297 (2007).
ADS Article Google Scholar
2.
Pomerleau, C., Ferguson, S. H. & Walkusz, W. Stomach contents of bowhead whales (Balaena mysticetus) from four locations in the Canadian Arctic. Polar Biol. 34, 615–620 (2011).
Article Google Scholar3.
Pomerleau, C. et al. Prey assemblage isotopic variability as a tool for assessing diet and the spatial distribution of bowhead whale Balaena mysticetus foraging in the Canadian eastern Arctic. Mar. Ecol. Prog. Ser. 469, 161–174 (2012).
ADS Article Google Scholar4.
Kenney, R. D., Hyman, M. A. M., Owen, R. E., Scott, G. P. & Winn, H. E. Estimation of prey densities required by western North Atlantic right whales. Mar. Mamm. Sci. 2, 1–13 (1986).
Article Google Scholar5.
Baumgartner, M. F. & Tarrant, A. M. The physiology and ecology of diapause in marine copepods. Ann. Rev. Mar. Sci. 9, 387–411 (2017).
PubMed Article Google Scholar6.
Fortune, S. M., Trites, A. W., Mayo, C. A., Rosen, D. A. S. & Hamilton, P. K. Energetic requirements of North Atlantic right whales and the implications for species recovery. Mar. Ecol. Prog. Ser. 478, 253–272 (2013).
ADS Article Google Scholar7.
Hays, G. C., Richardson, A. J. & Robinson, C. Climate change and marine plankton. Trends Ecol. Evol. 20, 337–344 (2005).
PubMed Article PubMed Central Google Scholar8.
Beaugrand, G., Mackas, D. & Goberville, E. Applying the concept of the ecological niche and a macroecological approach to understand how climate influences zooplankton: advantages, assumptions, limitations and requirements. Prog. Oceanogr. 111, 75–90 (2013).
ADS Article Google Scholar9.
Beaugrand, G., Reid, P. C., Ibañez, F., Lindley, J. A. & Edwards, M. Reorganization of North Atlantic marine copepod biodiversity and climate. Science 296, 1692–1694 (2002).
ADS CAS PubMed Article PubMed Central Google Scholar10.
Beaugrand, G. Decadal changes in climate and ecosystems in the North Atlantic Ocean and adjacent seas. Deep Res. Part II Top. Stud. Oceanogr. 56, 656–673 (2009).
ADS Article Google Scholar11.
Chust, G. et al. Are Calanus spp. shifting poleward in the North Atlantic? A habitat modelling approach. ICES J. Mar. Sci. 71, 241–253 (2014).
Article Google Scholar12.
Grieve, B. D., Hare, J. A. & Saba, V. S. Projecting the effects of climate change on Calanus finmarchicus distribution within the U.S. Northeast Continental Shelf. Sci. Rep. 7, 6264 (2017).
ADS PubMed PubMed Central Article CAS Google Scholar13.
Feng, Z., Ji, R., Campbell, R. G., Ashjian, C. J. & Zhang, J. Early ice retreat and ocean warming may induce copepod biogeographic boundary shifts in the Arctic Ocean. J. Geophys. Res. Ocean. 121, 6137–6158 (2016).
ADS Article Google Scholar14.
Feng, Z., Ji, R., Ashjian, C., Campbell, R. & Zhang, J. Biogeographic responses of the copepod Calanus glacialis to a changing Arctic marine environment. Glob. Chang. Biol. 24, e159–e170 (2018).
ADS PubMed Article PubMed Central Google Scholar15.
Kwok, R. et al. Thinning and volume loss of the Arctic Ocean sea ice cover: 2003–2008. J. Geophys. Res. Ocean. 114, 1–16 (2009).
Article Google Scholar16.
Stroeve, J., Holland, M. M., Meier, W., Scambos, T. & Serreze, M. Arctic sea ice decline: Faster than forecast. Geophys. Res. Lett. 34, 1–5 (2007).
Article Google Scholar17.
Notz, D. & Stroeve, J. Observed Arctic sea-ice loss directly follows anthropogenic CO2 emission. Science 354, 747–750 (2016).
ADS CAS PubMed Article PubMed Central Google Scholar18.
Pomerleau, C. et al. Spatial patterns in zooplankton communities across the eastern Canadian sub-Arctic and Arctic waters: insights from stable carbon (delta C-13) and nitrogen (delta N-15) isotope ratios. J. Plankton Res. 33, 1779–1792 (2011).
CAS Article Google Scholar19.
Pomerleau, C., Lesage, V., Winkler, G., Rosenberg, B. & Ferguson, S. H. Contemporary diet of bowhead whales (Balaena mysticetus) from the eastern Canadian Arctic inferred from fatty acid biomarkers. Arctic 67, 84–92 (2014).
Article Google Scholar20.
Heide-Jørgensen, M. P. et al. Large scale sexual segregation of bowhead whales. Endang. Species Res. 13, 73–78 (2010).
Article Google Scholar21.
Heide-Jørgensen, M. P. et al. Winter and spring diving behavior of bowhead whales relative to prey. Anim. Biotelemetry 1, 1–15 (2013).
Article Google Scholar22.
Curry, B., Lee, C. M., Petrie, B., Moritz, R. E. & Kwok, R. Multiyear volume, liquid freshwater, and sea ice transports through Davis Strait, 2004–10. J. Phys. Oceanogr. 44, 1244–1266 (2014).
ADS Article Google Scholar23.
Pomerleau, C. et al. Mercury and stable isotope cycles in baleen plates are consistent with year-round feeding in two bowhead whale (Balaena mysticetus) populations. Polar Biol. 41, 1881–1893 (2018).
Article Google Scholar24.
Doniol-Valcroze, T. et al. Abundance estimate of the Eastern Canada-West Greenland bowhead whale population based on the 2013 High Arctic Cetacean Survey. (2015).25.
Frasier, T. et al. Abundance estimates of the Eastern Canada-West Greenland bowhead whale (Balaena mysticetus) population based on genetic capture-mark-recapture analyses. (2015).26.
Frasier, T. R. et al. Abundance estimation from genetic mark-recapture data when not all sites are sampled: an example with the bowhead whale. Glob. Ecol. Conserv. 22, e00903 (2020).
Article Google Scholar27.
Dunbar, M. J. Physical oceanographic results of the ‘Calanus’ expeditions in Ungava Bay, Frobisher Bay, Cumberland Sound, Hudson Strait and Northern Hudson Bay, 1949–1955. J. Fish. Res. Board Canada 15, 155–201 (1958).
Article Google Scholar28.
Aitken, A. & Gilbert, R. Holocene nearshore environments and sea-level history in Pangnirtung fjord, Baffin Island, NWT, Canada. Arct. Alp. Res. 21, 34–44 (1989).
Article Google Scholar29.
McMeans, B. C. et al. Seasonal patterns in fatty acids of Calanus hyperboreus (Copepoda, Calanoida) from Cumberland Sound, Baffin Island, Nunavut. Mar. Biol. 159, 1095–1105 (2012).
CAS Article Google Scholar30.
Bedard, J. M. et al. Outside influences on the water column of Cumberland Sound, Baffin Island. J. Geophys. Res. C Ocean. 120, 5000–5018 (2015).
ADS Article Google Scholar31.
Tang, C. C. L. et al. The circulation, water masses and sea-ice of Baffin Bay. Prog. Oceanogr. 63, 183–228 (2004).
ADS Article Google Scholar32.
Falk-Petersen, S., Mayzaud, P., Kattner, G. & Sargent, J. R. Lipids and life strategy of Arctic Calanus. Mar. Biol. Res. 5, 18–39 (2009).
Article Google Scholar33.
Davies, K. T. A., Ryan, A. & Taggart, C. T. Measured and inferred gross energy content in diapausing Calanus spp. in a Scotian shelf basin. J. Plankton Res. 34, 614–625 (2012).
Article Google Scholar34.
Koski, W. R., Davis, R. A., Miller, G. W. & Withrow, D. E. Reproduction. in The bowhead whale (eds. Burns, J. J., Montague, J. J. & Cowles, C. J.) 239–274 (Special Publication Number 2. The Society of Marine Mammalogy, Lawrence, KS, 1993).35.
George, J. C. et al. Inferences from bowhead whale ovarian and pregnancy data: age estimates, length at sexual maturity and ovulation rates. International Whaling Commission Scientific Paper 56 (2004).36.
Higdon, J. W. & Ferguson, S. H. Past, present, and future for bowhead whales (Balaena mysticetus) in northwest Hudson Bay. In A Little Less Arctic: Top Predators in the World’s Largest Northern Inland Sea, Hudson Bay (eds Ferguson, S. H. et al.) 159–177 (Springer, New York, 2010).
Google Scholar37.
Liu, H. & Hopcroft, R. R. Growth and development of Pseudocalanus spp. in the northern Gulf of Alaska. J. Plankton Res. 30, 923–935 (2008).
Article Google Scholar38.
DeLorenzo Costa, A., Durbin, E. G. & Mayo, C. A. Variability in the nutritional value of the major copepods in Cape Cod Bay (Massachusetts, USA) with implications for right whales. Mar. Ecol. 27, 109–123 (2006).
ADS Article CAS Google Scholar39.
Madsen, S. D., Nielsen, T. G. & Hansen, B. W. Annual population development and production by Calanus finmarchicus, C. glacialisand C. hyperboreus in Disko Bay, western Greenland. Mar. Biol. 139, 75–93 (2001).
Article Google Scholar40.
Reeves, R., Mitchell, E., Mansfield, A. & McLaughlin, M. Distribution and migration of the bowhead whale, Balaena mysticetus, in the Eastern North American. Arctic 36, 60 (1983).
Article Google Scholar41.
Holland, C. A. William penny, 1809–92: Arctic whaling master. Polar Rec. 15, 25–43 (1970).
Article Google Scholar42.
Higdon, J. W. Commercial and subsistence harvests of bowhead whales (Balaena mysticetus) in eastern Canada and West Greenland. J. Cetacean Res. Manag. 11, 185–216 (2010).
Google Scholar43.
Diemer, K. M. et al. Marine mammal and seabird summer distribution and abundance in the fjords of northeast Cumberland Sound of Baffin Island, Nunavut, Canada. Polar Biol. 34, 41–48 (2011).
Article Google Scholar44.
Matthews, C. et al. Boat-based surveys for marine mammals and seabirds in Cumberland Sound. Field report. (2012).45.
Baumgartner, M. F., Wenzel, F. W., Lysiak, N. S. J. & Patrician, M. R. North Atlantic right whale foraging ecology and its role in human-caused mortality. Mar. Ecol. Prog. Ser. 581, 165–181 (2017).
ADS Article Google Scholar46.
Fortune, S. et al. Seasonal diving and foraging behaviour of Eastern Canada-West Greenland bowhead whales. Mar. Ecol. Prog. Ser. 643, 197–217 (2020).
ADS Article Google Scholar47.
Block, B. A. Physiological ecology in the 21st century: Advancements in biologging science. Integr. Comp. Biol. 45, 305–320 (2005).
PubMed Article PubMed Central Google Scholar48.
Hays, G. C. New insights: animal-borne cameras and accelerometers reveal the secret lives of cryptic species. J. Anim. Ecol. 84, 587–589 (2015).
PubMed Article PubMed Central Google Scholar49.
Bograd, S. J., Block, B. A., Costa, D. P. & Godley, B. J. Biologging technologies: new tools for conservation. Introduction. Endanger. Species Res. 10, 1–7 (2010).
Article Google Scholar50.
Unstad, K. H. & Tande, K. S. Depth distribution of Calanus finmarchicus and C. glacialis in relation to environmental conditions in the Barents Sea. Polar Res. 10, 409–420 (1991).
Article Google Scholar51.
Hirche, H. J. & Niehoff, B. Reproduction of the Arctic copepod Calanus hyperboreus in the Greenland Sea-field and laboratory observations. Polar Biol. 16, 209–219 (1996).
Article Google Scholar52.
Madsen, S. J., Nielsen, T. G., Tervo, O. M. & Söderkvist, J. Importance of feeding for egg production in Calanus finmarchicus and C. glacialis during the Arctic spring. Mar. Ecol. Prog. Ser. 353, 177–190 (2008).
ADS CAS Article Google Scholar53.
Darnis, G. & Fortier, L. Temperature, food and the seasonal vertical migration of key arctic copepods in the thermally stratified Amundsen Gulf (Beaufort Sea, Arctic Ocean) GE. J. Plankton Res. 36, 1092–1108 (2014).
CAS Article Google Scholar54.
Parent, G. J., Plourde, S. & Turgeon, J. Overlapping size ranges of Calanus spp. off the Canadian Arctic and Atlantic Coasts: impact on species abundances. J. Plankton Res. 33, 1654–1665 (2011).
CAS Article Google Scholar55.
Hyslop, E. J. Stomach contents analysis—a review of methods and their application. J. Fish Biol. 17, 411–429 (1980).
Article Google Scholar56.
Dunweber, M. et al. Succession and fate of the spring diatom bloom in Disko Bay, western Greenland. Mar. Ecol. Prog. Ser. 419, 11–29 (2010).
ADS Article CAS Google Scholar57.
Swalethorp, R. et al. Grazing, egg production, and biochemical evidence of differences in the life strategies of Calanus finmarchicus, C. glacialis and C. hyperboreus in Disko Bay, Western Greenland. Mar. Ecol. Prog. Ser. 429, 125–144 (2011).
ADS Article Google Scholar58.
Baumgartner, M. F. & Mate, B. R. Summertime foraging ecology of North Atlantic right whales. Mar. Ecol. Prog. Ser. 264, 123–135 (2003).
ADS Article Google Scholar59.
Hirche, H. J. Long-term experiments on lifespan, reproductive activity and timing of reproduction in the Arctic copepod Calanus hyperboreus. Mar. Biol. 160, 2469–2481 (2013).
Article Google Scholar60.
Visser, A. W. & Jónasdóttir, S. H. Lipids, buoyancy and the seasonal vertical migration of Calanus finmarchicus. Fish. Oceanogr. 8, 100–106 (1999).
Article Google Scholar61.
Scott, C. L., Kwasniewski, S., Falk-Petersen, S. & Sargent, J. R. Lipids and life strategies of Calanus finmarchicus, Calanus glacialis and Calanus hyperboreus in late autumn, Kongsfjorden, Svalbrad. Polar Biol. 23, 510–516 (2000).
Article Google Scholar62.
Heide-Jørgensen, M. P., Laidre, K. L., Logsdon, M. L. & Nielsen, T. G. Springtime coupling between chlorophyll a, sea ice and sea surface temperature in Disko Bay, West Greenland. Prog. Oceanogr. 73, 79–95 (2007).
ADS Article Google Scholar63.
Baumgartner, M. F. Comparisons of Calanus finmarchicus fifth copepodite abundance estimates from nets and an optical plankton counter. J. Plankton Res. 25, 855–868 (2003).
Article Google Scholar64.
Herman, A. W. Design and calibration of a new optical plankton counter capable of sizing small zooplankton. Deep Sea Res. A 39, 395–415 (1992).
ADS Article Google Scholar65.
Falk-Petersen, S. et al. Vertical migration in high Arctic waters during autumn 2004. Deep Sea Res. II(55), 2275–2284 (2008).
ADS Article Google Scholar66.
Baumgartner, M. F., Lysiak, N. S. J., Schuman, C., Urban-Rich, J. & Wenzel, F. W. Diel vertical migration behavior of Calanus finmarchicus and its influence on right and sei whale occurrence. Mar. Ecol. Prog. Ser. 423, 167–184 (2011).
ADS Article Google Scholar67.
Bollens, S. M. & Frost, B. W. Predator-induced diet vertical migration in a planktonic copepod. J. Plankton Res. 11, 1047–1065 (1989).
Article Google Scholar68.
Hays, G. C. Ontogenetic and seasonal variation in the diel vertical migration of the copepods Metridia lucens and Metridia longa. Limnol. Oceanogr. 40, 1461–1465 (1995).
ADS Article Google Scholar69.
Huntley, M. & Brooks, E. R. Effects of age and food availability on diel vertical migration of Calanus pacificus. Mar. Biol. 71, 23–31 (1982).
Article Google Scholar70.
Simon, M., Johnson, M. J., Tyack, P. & Madsen, P. T. Behavior and kinematics of continous ram filtration in bowhead wahles (Balaena mysticetus). Proc. R. Soc. Lond. B. 276, 3819–3828 (2009).
Article Google Scholar71.
van der Hoop, J. M. et al. Foraging rates of ram-filtering North Atlantic right whales. Funct. Ecol. 33, 1290–1306 (2019).
Article Google Scholar72.
Goldbogen, J. A. et al. Prey density and distribution drive the three-dimensional foraging strategies of the largest filter feeder. Funct. Ecol. 29, 951–961 (2015).
Article Google Scholar73.
Kooyman, G. L., Wahrenbrock, E. A., Castellini, M. A., Davis, R. W. & Sinnett, E. E. Aerobic and anaerobic metabolism during voluntary diving in Weddell seals: evidence of preferred pathways from blood chemsitry and behavior. J. Comp. Physiol. B 138, 335–346 (1980).
CAS Article Google Scholar74.
Kooyman, G. L., Castellini, M. A., Davis, R. W. & Maue, R. A. Aerobic diving limits of immature Weddell seals. J. Comp. Physiol. B 151, 171–174 (1983).
Article Google Scholar75.
Dyke, A. S., Hooper, J. & Savelle, J. M. A history of sea ice in the Canadian Arctic archipelago based on postglacial remains of the bowhead whale (Balaena mysticetus). Arctic 49, 235–255 (1996).
Article Google Scholar76.
Baumgartner, M. F., Hammar, T. & Robbins, J. Development and assessment of a new dermal attachment for short-term tagging studies of baleen whales. Methods Ecol. Evol. 6, 289–297 (2015).
Article Google Scholar77.
Reinhart, N. R. et al. Occurrence of killer whale Orcinus orca rake marks on Eastern Canada-West Greenland bowhead whales Balaena mysticetus. Polar Biol. 36, 1133–1146 (2013).
Article Google Scholar78.
Fortune, S. M. E. et al. Evidence of molting and the function of “rock-nosing” behavior in bowhead whales in the eastern Canadian Arctic. PLoS ONE 12, 1–15 (2017).
MathSciNet Article CAS Google Scholar79.
Silva, M. A. et al. Assessing performance of Bayesian state-space models fit to argos satellite telemetry locations processed with kalman filtering. PLoS ONE 9, e92277 (2014).
ADS PubMed PubMed Central Article CAS Google Scholar80.
Lowther, A. D., Lydersen, C., Fedak, M. A., Lovell, P. & Kovacs, K. M. The argos-CLS kalman filter: Error structures and state-space modelling relative to fastloc GPS data. PLoS ONE 10, e0124754 (2015).
PubMed PubMed Central Article CAS Google Scholar81.
R Development Core Team. R: A Language and Environment for Statistical Computing. R Development Core Team, Vienna (2016). https://doi.org/10.1038/sj.hdy.6800737.82.
Jonsen, I. D., Flemming, J. M. & Myers, R. A. Robust state-space modeling of animal movement data. Ecology 86, 2874–2880 (2005).
Article Google Scholar83.
Jonsen, I. D. et al. State-space models for bio-loggers: a methodological road map. Deep. Res. II(88–89), 34–46 (2013).
ADS Google Scholar84.
Tinbergen, N., Impekoven, M. & Franck, D. An experiment on spacing-out as a defence against predation. Behaviour 28, 307–320 (1967).
Article Google Scholar85.
Kareiva, P. & Odell, G. Swarms of predators exhibit ‘preytaxis’ if individual predators use area-restricted search. Am. Nat. 130, 233–270 (1987).
Article Google Scholar86.
Haskell, D. G. Experiments and a model examining learning in the area-restricted search behavior of ferrets (Mustela putorius furo). Behav. Ecol. 8, 448–455 (1997).
Article Google Scholar87.
Fauchald, P. & Tveraa, T. Using first-passage time in the analysis of area-restricted search and habitat selection. Ecology 84, 282–288 (2003).
Article Google Scholar88.
Anderwald, P. et al. Spatial scale and environmental determinants in minke whale habitat use and foraging. Mar. Ecol. Prog. Ser. 450, 259–274 (2012).
ADS Article Google Scholar89.
Jonsen, I. D., Myers, R. A. & James, M. C. Identifying leatherback turtle foraging behaviour from satellite telemetry using a switching state-space model. Mar. Ecol. Prog. Ser. 337, 255–264 (2007).
ADS Article Google Scholar90.
Pinheiro, J. C. & Bates, D. M. Linear mixed-effects models. in Mixed-effects models in S and S-Plus 1–56 (Springer, New York, 2000). https://doi.org/10.1198/tech.2001.s574.91.
Sverdrup, H. U. On conditions for the vernal blooming of phytoplankton. ICES J. Mar. Sci. 18, 287–295 (1953).
Article Google Scholar92.
Thomson, R. E. & Fine, I. V. Estimating mixed layer depth from oceanic profile data. J. Atmos. Ocean. Technol. 20, 319–329 (2003).
ADS Article Google Scholar93.
Smith, W. O. & Jones, R. M. Vertical mixing, critical depths, and phytoplankton growth in the Ross Sea. ICES J. Mar. Sci. 72, 1952–1960 (2015).
Article Google Scholar94.
Suthers, I. M., Taggart, C. T., Rissik, D. & Baird, M. E. Day and night ichthyoplankton assemblages and zooplankton biomass size spectrum in a deep ocean island wake. Mar. Ecol. Prog. Ser. 322, 225–238 (2006).
ADS CAS Article Google Scholar95.
Grainger, E. H. The copepods Calanus glacial is Jaschnov and Calanus finmarchicus (Gunnerus) in Canadian Arctic-Subarctic waters. J. Fish. Res. Board Can. 18, 663–678 (1961).
Article Google Scholar96.
Jaschnov, W. A. Distribution of Calanus Species in the Seas of the Northern Hemisphere. Int. Rev. Hydrobiol. Hydrogr. 55, 197–212 (1970).
Article Google Scholar97.
Hirche, H. J. & Mumm, N. Distribution of dominant copepods in the Nansen Basin, Arctic Ocean, in summer. Deep Sea Res. A 39, 485–505 (1992).
ADS Article Google Scholar98.
Breteler, W. C. M. K., Fransz, H. G. & Gonzalez, S. R. Growth and development of four calanoid copepod species under experimental and natural conditions. Neth. J. Sea Res. 16, 195–207 (1982).
Article Google Scholar More250 Shares129 Views
in EcologyAnalyzing long-term impacts of ungulate herbivory on forest-recruitment dynamics at community and species level contrasting tree densities versus maximum heights
1.
Crawley, M. Herbivory: The Dynamics of Animal–Plant Interactions (Blackwell Scientific, Oxford, 1983).
Google Scholar
2.
Putman, R. Grazing in Temperate Ecosystems: Large Herbivores and the Ecology of the New Forest (Springer, Berlin, 1986).
Google Scholar3.
Huntly, N. Herbivores and the dynamics of communities and ecosystems. Annu. Rev. Ecol. Syst. 1, 477–503 (1991).
Article Google Scholar4.
Skarpe, C. Impact of grazing in savanna ecosystems. Ambio 20, 351–356 (1991).
Google Scholar5.
Agrawal, A. A. Macroevolution of plant defense strategies. Trends Ecol. Evol. 22, 103–109 (2007).
PubMed Article Google Scholar6.
Bruce, T. C. Interplay between insects and plants–dynamic and complex interactions that have coevolved over millions of years but act in milliseconds. J. Exp. Bot. 2, 391 (2014).
Google Scholar7.
Mason, N. W. H., Peltzer, D. A., Richardson, S. J., Bellingham, P. J. & Allen, R. B. Stand development moderates effects of ungulate exclusion on foliar traits in the forests of New Zealand: Ungulate impacts on foliar traits. J. Ecol. 98, 1422–1433 (2010).
Article Google Scholar8.
Faison, E. K., DeStefano, S., Foster, D. R., Motzkin, G. & Rapp, J. M. Ungulate browsers promote herbaceous layer diversity in logged temperate forests. Ecol. Evol. 6, 4591–4602 (2016).
PubMed PubMed Central Article Google Scholar9.
Simončič, T., Bončina, A., Jarni, K. & Klopčič, M. Assessment of the long-term impact of deer on understory vegetation in mixed temperate forests. J. Veg. Sci. 30, 108–120 (2019).
Article Google Scholar10.
Schmitz, O. J. Herbivory from individuals to ecosystems. Annu. Rev. Ecol. Evol. Syst. 39, 133–152 (2008).
Article Google Scholar11.
Riginos, C. & Grace, J. B. Savanna tree density, herbivores, and the herbaceous community: Bottom-up vs. top-down effects. Ecology 89, 2228–2238 (2008).
PubMed Article Google Scholar12.
Turkington, R. Top-down and bottom-up forces in mammalian herbivore–vegetation systems: An essay review. Botany 87, 723–739 (2009).
Article Google Scholar13.
Kos, M. et al. Relative importance of plant-mediated bottom-up and top-down forces on herbivore abundance on Brassica oleracea: Bottom-up and top-down effects on herbivores. Funct. Ecol. 25, 1113–1124 (2011).
Article Google Scholar14.
Kuijper, D. P. J. et al. Bottom-up versus top-down control of tree regeneration in the Białowieża Primeval Forest, Poland: Abiotic and biotic control of tree regeneration. J. Ecol. 98, 888–899 (2010).
Article Google Scholar15.
Churski, M., Bubnicki, J. W., Jędrzejewska, B., Kuijper, D. P. J. & Cromsigt, J. P. G. M. Brown world forests: Increased ungulate browsing keeps temperate trees in recruitment bottlenecks in resource hotspots. New Phytol. 214, 158–168 (2017).
PubMed Article Google Scholar16.
Fretwell, S. D. Food chain dynamics: The central theory of ecology?. Oikos 50, 291–301 (1987).
Article Google Scholar17.
Reimoser, F. & Putman, R. Impacts of wild ungulates on vegetation: Costs and benefits. In Ungulate Management in Europe—Problems and Practices (eds Putman, R. et al.) 144–191 (Cambridge University Press, Cambridge, 2011).
Google Scholar18.
Bellingham, P. J. & Allan, C. N. Forest regeneration and the influences of white-tailed deer (Odocoileus virginianus) in cool temperate New Zealand rain forests. For. Ecol. Manag. 175, 71–86 (2003).
Article Google Scholar19.
Russell, F. L. & Fowler, N. L. Effects of white-tailed deer on the population dynamics of acorns, seedlings and small saplings of Quercus buckleyi. Plant Ecol. 173, 59–72 (2004).
Article Google Scholar20.
Casabon, C. & Pothier, D. Browsing of tree regeneration by white-tailed deer in large clearcuts on Anticosti Island, Quebec. For. Ecol. Manag. 253, 112–119 (2007).
Article Google Scholar21.
Pellerin, M. et al. Impact of deer on temperate forest vegetation and woody debris as protection of forest regeneration against browsing. For. Ecol. Manag. 260, 429–437 (2010).
Article Google Scholar22.
Tschöpe, O., Wallschläger, D., Burkart, M. & Tielbörger, K. Managing open habitats by wild ungulate browsing and grazing: A case-study in North-Eastern Germany: Managing open habitats by wild ungulate browsing and grazing. Appl. Veg. Sci. 14, 200–209 (2011).
Article Google Scholar23.
Millett, J. & Edmondson, S. The impact of 36 years of grazing management on vegetation dynamics in dune slacks. J. Appl. Ecol. 50, 1367–1376 (2013).
Article Google Scholar24.
Beck, H., Snodgrass, J. W. & Thebpanya, P. Long-term exclosure of large terrestrial vertebrates: Implications of defaunation for seedling demographics in the Amazon rainforest. Biol. Conserv. 163, 115–121 (2013).
Article Google Scholar25.
Charles, G. K., Porensky, L. M., Riginos, C., Veblen, K. E. & Young, T. P. Herbivore effects on productivity vary by guild: Cattle increase mean productivity while wildlife reduce variability. Ecol. Appl. 27, 143–155 (2017).
PubMed Article Google Scholar26.
Castleberry, S. B., Ford, W. M., Miller, K. V. & Smith, W. P. Influences of herbivory and canopy opening size on forest regeneration in a southern bottomland hardwood forest. For. Ecol. Manag. 131, 57–64 (2000).
Article Google Scholar27.
Filazzola, A., Tanentzap, A. J. & Bazely, D. R. Estimating the impacts of browsers on forest understories using a modified index of community composition. For. Ecol. Manag. 313, 10–16 (2014).
Article Google Scholar28.
Nishizawa, K., Tatsumi, S., Kitagawa, R. & Mori, A. S. Deer herbivory affects the functional diversity of forest floor plants via changes in competition-mediated assembly rules. Ecol. Res. 31, 569–578 (2016).
CAS Article Google Scholar29.
Boulanger, V. et al. Ungulates increase forest plant species richness to the benefit of non-forest specialists. Glob. Change Biol. 24, e485–e495 (2018).
Article Google Scholar30.
McGarvey, J. C., Bourg, N. A., Thompson, J. R., McShea, W. J. & Shen, X. Effects of twenty years of deer exclusion on woody vegetation at three life-history stages in a mid-atlantic temperate deciduous forest. Northeast. Nat. 20, 451–468 (2013).
Article Google Scholar31.
Kabeya, D. & Sakai, S. The role of roots and cotyledons as storage organs in early stages of establishment in Quercus crispula: a quantitative analysis of the nonstructural carbohydrate in cotyledons and roots. Ann. Bot. 92, 537–545 (2003).
CAS PubMed PubMed Central Article Google Scholar32.
Boege, K. & Marquis, R. J. Facing herbivory as you grow up: The ontogeny of resistance in plants. Trends Ecol. Evol. 20, 441–448 (2005).
PubMed Article Google Scholar33.
Hanley, M. E., Lamont, B. B., Fairbanks, M. M. & Rafferty, C. M. Plant structural traits and their role in anti-herbivore defence. Perspect. Plant Ecol. Evol. Syst. 8, 157–178 (2007).
Article Google Scholar34.
Diggle, P. J. Statistical Analysis of Spatial Point Patterns. (Arnold, 2003).35.
Gratzer, G. & Waagepetersen, R. Seed dispersal, microsites or competition—What drives gap regeneration in an old-growth forest? An application of spatial point process modelling. Forests 9, 230 (2018).
Article Google Scholar36.
Szwagrzyk, J., Gratzer, G., Stępniewska, H., Szewczyk, J. & Veselinovic, B. High reproductive effort and low recruitment rates of European beech: Is there a limit for the superior competitor?. Pol. J. Ecol. 63, 198–212 (2015).
Article Google Scholar37.
Nopp-Mayr, U., Kempter, I., Muralt, G. & Gratzer, G. Herbivory on young tree seedlings in old-growth and managed mountain forests. Ecol. Res. 30, 479–491 (2015).
CAS Article Google Scholar38.
Shugart, H. H. A theory of forest dynamics. (Springer, 1984).39.
Lertzman, K. B. Patterns of gap-phase replacement in a subalpine, old-growth forest. Ecology 73, 657–669 (1992).
Article Google Scholar40.
Kneeshaw, D. D. & Bergeron, Y. Canopy gap characteristics and tree replacement in the Southeastern Boreal forest. Ecology 79, 783–794 (1998).
Article Google Scholar41.
Wakeling, J. L., Staver, A. C. & Bond, W. J. Simply the best: The transition of savanna saplings to trees. Oikos 120, 1448–1451 (2011).
Article Google Scholar42.
Kobe, R. K., Pacala, S. W., Silander, J. A. Jr. & Canham, C. D. Juvenile tree survivorship as a component of shade tolerance. Ecol. Appl. 5, 517–532 (1995).
Article Google Scholar43.
Zuidema, P. A., Brienen, R. J. W., During, H. J. & Güneralp, B. Do persistently fast-growing juveniles contribute disproportionately to population growth? A new analysis tool for matrix models and its application to rainforest trees. Am. Nat. 174, 709–719 (2009).
PubMed Article Google Scholar44.
Tremblay, J.-P., Huot, J. & Potvin, F. Density-related effects of deer browsing on the regeneration dynamics of boreal forests. J. Appl. Ecol. 44, 552–562 (2007).
Article Google Scholar45.
Speed, J. D. M., Austrheim, G., Hester, A. J., Solberg, E. J. & Tremblay, J.-P. Regional-scale alteration of clear-cut forest regeneration caused by moose browsing. For. Ecol. Manag. 289, 289–299 (2013).
Article Google Scholar46.
Shelton, A. L., Henning, J. A., Schultz, P. & Clay, K. Effects of abundant white-tailed deer on vegetation, animals, mycorrhizal fungi, and soils. For. Ecol. Manag. 320, 39–49 (2014).
Article Google Scholar47.
Reimoser, F. & Reimoser, S. Ergebnisse aus dem Vergleichsflächenverfahren (‘Wildschaden-Kontrollzäune’) – ein Beitrag zur Objektivierung der Wildschadensbeurteilung. In Ist die natürliche Verjüngung des Bergwaldes gesichert? (ed. Müller, F.) 151–159 (Austrian Research Centre for Forests, Vienna, 2003).
Google Scholar48.
ZAMG. Klimadaten von Österreich 1971–2000. (2013).49.
Mucina, L., Grabherr, G. & Wallnöfer, S. Die Pflanzengesellschaften Österreichs. Teil III – Wälder und Gebüsche (Gustav Fischer Verlag, Stuttgart, 1993).
Google Scholar50.
Reimoser, F., Schodterer, H. & Reimoser, S. Beurteilung des Schalenwildeinflusses auf die Waldverjüngung – Vergleich verschiedener Methoden des Wildeinfluss-Monitorings („WEM – Methodenvergleich”) (Austrian Research Centre for Forests, Vienna, 2014).
Google Scholar51.
Reimoser, F., Armstrong, H. & Suchant, R. Measuring forest damage of ungulates: What should be considered. For. Ecol. Manag. 120, 47–58 (1999).
Article Google Scholar52.
Long, Z. T., Pendergast, T. H. & Carson, W. P. The impact of deer on relationships between tree growth and mortality in an old-growth beech-maple forest. For. Ecol. Manag. 252, 230–238 (2007).
Article Google Scholar53.
Van den Brink, P. J. & Ter Braak, C. J. Principal response curves: Analysis of time-dependent multivariate responses of biological community to stress. Environ. Toxicol. Chem. 18, 138–148 (1999).
Article Google Scholar54.
van den Brink, P. J., den Besten, P. J., de Bij, V. A. & ter Braak, C. J. F. Principal response curves technique for the analysis of multivariate biomonitoring time series. Environ. Monit. Assess. 152, 271–281 (2009).
CAS PubMed Article Google Scholar55.
Poulin, M., Andersen, R. & Rochefort, L. A new approach for tracking vegetation change after restoration: A case study with peatlands. Restor. Ecol. 21, 363–371 (2013).
Article Google Scholar56.
Borcard, D., Gillet, F. & Legendre, P. Numerical Ecology with R (Springer International Publishing, Berlin, 2018).
Google Scholar57.
Van den Brink, P. J., Van den Brink, N. W. & Ter Braak, C. J. Multivariate analysis of ecotoxicological data using ordination: demonstrations of utility on the basis of various examples. Austr. J. Ecotoxicol. 9, 141–156 (2003).
Google Scholar58.
R Development Core Team. R: A language and environment for statistical computing. (R Foundation for Statistical Computing, 2020).59.
Oksanen, J. et al. vegan: Community Ecology Package. (2019).60.
RStudio Team. RStudio: Integrated Development Environment for R. (RStudio, Inc., 2016).61.
Wickham, H., François, R., Henry, L. & Müller, K. dplyr: A Grammar of Data Manipulation. (2019).62.
Wickham, H. forcats: Tools for Working with Categorical Variables (Factors). (2018).63.
Wickham, H. ggplot2: Elegant Graphics for Data Analysis (Springer, Berlin, 2016).
Google Scholar64.
Henry, L. & Wickham, H. purrr: Functional Programming Tools. (2019).65.
Wickham, H., Hester, J. & Francois, R. readr: Read Rectangular Text Data. (2018).66.
Wickham, H. stringr: Simple, Consistent Wrappers for Common String Operations. (2019).67.
Müller, K. & Wickham, H. tibble: Simple Data Frames. (2019).68.
Wickham, H. & Henry, L. tidyr: Easily Tidy Data with ‘spread()’ and ‘gather()’ Functions. (2019).69.
McNamara, A., Rubia, E. A. de la, Zhu, H., Ellis, S. & Quinn, M. skimr: Compact and Flexible Summaries of Data. (2019).70.
Allaire, J. J., Wickham, H., Ushey, K. & Ritchie, G. rstudioapi: Safely Access the RStudio API. (2017).71.
Allaire, J. J. et al. rmarkdown: Dynamic Documents for R. (2018).72.
Xie, Y. knitr: A General-Purpose Package for Dynamic Report Generation in R. (2018).73.
Baumgartner, J. hues: Distinct Colours Palettes Based on ‘iwanthue’. (2017).74.
Jones, O. R. et al. Diversity of ageing across the tree of life. Nature 505, 169–173 (2014).
ADS CAS PubMed Article Google Scholar75.
Pacala, S. W. et al. Forest models defined by field measurements: Estimation error analysis and dynamics. Ecol. Monogr. 66, 1–43 (1996).
Article Google Scholar76.
Beckage, B. & Clark, J. S. Seedling survival and growth of three forest tree species: The role of spatial heterogeneity. Ecology 84, 1849–1861 (2003).
Article Google Scholar77.
Peltzer, D. A. et al. Disentangling drivers of tree population size distributions. For. Ecol. Manag. 331, 165–179 (2014).
Article Google Scholar78.
Reimoser, F., Odermatt, O., Roth, R. & Suchant, R. Die Beurteilung von Wildverbiss durch SOLL-IST-Vergleich. Allg Forst Jagdztg 168, 214–227 (1997).
Google Scholar79.
Pépin, D. et al. Relative impact of browsing by red deer on mixed coniferous and broad-leaved seedlings—An enclosure-based experiment. For. Ecol. Manag. 222, 302–313 (2006).
Article Google Scholar80.
Jurena, P. N. & Archer, S. Woody plant establishment and spatial heterogeneity in grasslands. Ecology 84, 907–919 (2003).
Article Google Scholar81.
Cramer, M. D., Chimphango, S. B. M., Cauter, A. V., Waldram, M. S. & Bond, W. J. Grass competition induces N2 fixation in some species of African Acacia. J. Ecol. 95, 1123–1133 (2007).
CAS Article Google Scholar82.
Hegland, S. J., Lilleeng, M. S. & Moe, S. R. Old-growth forest floor richness increases with red deer herbivory intensity. For. Ecol. Manag. 310, 267–274 (2013).
Article Google Scholar83.
Lilleeng, M. S., Hegland, S. J., Rydgren, K. & Moe, S. R. Red deer mediate spatial and temporal plant heterogeneity in boreal forests. Ecol. Res. 31, 777–784 (2016).
Article Google Scholar84.
Laurent, L., Mårell, A., Balandier, P., Holveck, H. & Saïd, S. Understory vegetation dynamics and tree regeneration as affected by deer herbivory in temperate hardwood forests. IForest – Biogeosciences For. 10, 837–844 (2017).
Article Google Scholar85.
Holladay, C.-A., Kwit, C. & Collins, B. Woody regeneration in and around aging southern bottomland hardwood forest gaps: Effects of herbivory and gap size. For. Ecol. Manag. 223, 218–225 (2006).
Article Google Scholar86.
Smit, C., Gusberti, M. & Müller-Schärer, H. Safe for saplings; safe for seeds?. For. Ecol. Manag. 237, 471–477 (2006).
Article Google Scholar87.
Pröll, G., Darabant, A., Gratzer, G. & Katzensteiner, K. Unfavourable microsites, competing vegetation and browsing restrict post-disturbance tree regeneration on extreme sites in the Northern Calcareous Alps. Eur. J. For. Res. 134, 293–308 (2015).
Article Google Scholar88.
Stephan, J. G. et al. Long-term deer exclosure alters soil properties, plant traits, understorey plant community and insect herbivory, but not the functional relationships among them. Oecologia 184, 685–699 (2017).
ADS PubMed PubMed Central Article Google Scholar89.
Hidding, B., Tremblay, J.-P. & Côté, S. D. A large herbivore triggers alternative successional trajectories in the boreal forest. Ecology 94, 2852–2860 (2013).
PubMed Article Google Scholar90.
Augustine, D. J. & McNaughton, S. J. Ungulate effects on the functional species composition of plant communities: Herbivore selectivity and plant tolerance. J. Wildl. Manag. 62, 1165–1183 (1998).
Article Google Scholar91.
Owen-Smith, N. R. Adaptive Herbivore Ecology. From Resources to Populations in Variable Environments (Cambridge University Press, Cambridge, 2002).
Google Scholar92.
Reimoser, F. & Reimoser, S. Richtiges Erkennen von Wildschäden am Wald (Zentralstelle Österr, Landesjagdverbände, 2017).
Google Scholar93.
Ramirez, J. I. et al. Above- and below-ground cascading effects of wild ungulates in temperate forests. Ecosystems https://doi.org/10.1007/s10021-020-00509-4 (2020).
Article Google Scholar94.
Kral, F. Spät- und postglaziale Waldgeschichte der Alpen aufgrund der bisherigen Pollenanalysen (Österreichischer Agrarverlag, Vienna, 1979).
Google Scholar95.
Mayer, H. & Ott, E. Gebirgswaldbau, Schutzwaldpflege: ein waldbaulicher Beitrag zur Landschaftsökologie und zum Umweltschutz (G. Fischer, Mumbai, 1991).
Google Scholar96.
Mayer, M., Keßler, D. & Katzensteiner, K. Herbivory modulates soil CO2 fluxes after windthrow: A case study in temperate mountain forests. Eur. J. For. Res. 139, 383–391 (2020).
CAS Article Google Scholar More63 Shares159 Views
in EcologyPolyrhythmic foraging and competitive coexistence
1.
Hutchinson, G. E. Homage to Santa Rosalia or why are there so many kinds of animals?. Am. Nat. 93, 145–159 (1959).
Article Google Scholar
2.
Volterra, V. Variations and fluctuations of the number of individuals in animal species living together. ICES J. Mar. Sci. 3, 3–51 (1928).
Article Google Scholar3.
MacArthur, R. & Levins, R. Competition, habitat selection, and character displacement in a patchy environment. Proc. Natl. Acad. Sci. USA. 51, 1207–1210 (1964).
ADS CAS PubMed Article PubMed Central Google Scholar4.
Levin, S. A. Community equilibria and stability, and an extension of the competitive exclusion principle. Am. Nat. 104, 413–423 (1970).
Article Google Scholar5.
Chesson, P. Mechanisms of maintenance of species diversity. Annu. Rev. Ecol. Syst. 31, 343–366 (2000).
Article Google Scholar6.
Chase, J. M. et al. The interaction between predation and competition: a review and synthesis. Ecol. Lett. 5, 302–315 (2002).
Article Google Scholar7.
Amarasekare, P. Competitive coexistence in spatially structured environments: a synthesis. Ecol. Lett. 6, 1109–1122 (2003).
Article Google Scholar8.
Hutchinson, G. E. The paradox of the plankton. Am. Nat. 95, 137–145 (1961).
Article Google Scholar9.
Connell, J. H. Diversity in tropical rain forests and coral reefs. Science 199, 1302–1310 (1978).
ADS CAS PubMed Article PubMed Central Google Scholar10.
Armstrong, R. A. & McGehee, R. Competitive exclusion. Am. Nat. 115, 151–170 (1980).
MathSciNet Article Google Scholar11.
Huisman, J. & Weissing, F. J. Biodiversity of plankton by species oscillations and chaos. Nature 402, 407–410 (1999).
ADS Article Google Scholar12.
Abrams, P. A. & Holt, R. D. The impact of consumer–resource cycles on the coexistence of competing consumers. Theor. Popul. Biol. 62, 281–295 (2002).
PubMed MATH Article Google Scholar13.
Schwartz, M. D. et al. Phenology: An Integrative Environmental Science (Kluwer Academic Publishers, New York, 2003).
Google Scholar14.
McMeans, B. C., McCann, K. S., Humphries, M., Rooney, N. & Fisk, A. T. Food web structure in temporally-forced ecosystems. Trends Ecol. Evol. 30, 662–672 (2015).
PubMed Article Google Scholar15.
White, E. R. & Hastings, A. Seasonality in Ecology: Progress and Prospects in Theory (Springer, New York, 2018).
Google Scholar16.
Rudolf, V. H. W. The role of seasonal timing and phenological shifts for species coexistence. Ecol. Lett. 22, 1324–1338 (2019).
PubMed Google Scholar17.
Stewart, F. M. & Levin, B. R. Partitioning of resources and the outcome of interspecific competition: a model and some general considerations. Am. Nat. 107, 171–198 (1973).
Article Google Scholar18.
Abrams, P. Variability in resource consumption rates and the coexistence of competing species. Theor. Popul. Biol. 25, 106–124 (1984).
MATH Article Google Scholar19.
Cushing, J. M. Periodic two-predator, one-prey interactions and the time sharing of a resource niche. SIAM J. Appl. Math. 44, 392–410 (1984).
MathSciNet MATH Article Google Scholar20.
Grover, J. P. Resource competition in a variable environment: phytoplankton growing according to Monod’s model. Am. Nat. 136, 771–789 (1990).
Article Google Scholar21.
Loreau, M. Time scale of resource dynamics and coexistence through time partitioning. Theor. Popul. Biol. 41, 401–412 (1992).
MATH Article Google Scholar22.
Namba, T. & Takahashi, S. Competitive coexistence in a seasonally fluctuating environment II. Multiple stable states and invasion success. Theor. Popul. Biol. 44, 374–402 (1993).
MathSciNet MATH Article Google Scholar23.
Chesson, P. Multispecies competition in variable environments. Theor. Popul. Biol. 45, 227–276 (1994).
MATH Article Google Scholar24.
Abrams, P. A. When does periodic variation in resource growth allow robust coexistence of competing consumer species?. Ecology 85, 372–382 (2004).
Article Google Scholar25.
Gravel, D., Guichard, F. & Hochberg, M. E. Species coexistence in a variable world. Ecol. Lett. 14, 828–839 (2011).
PubMed Article PubMed Central Google Scholar26.
Sakavara, A., Tsirtsis, G., Roelke, D. L., Mancy, R. & Spatharis, S. Lumpy species coexistence arises robustly in fluctuating resource environments. Proc. Natl. Acad. Sci. USA. 115, 738–743 (2018).
CAS PubMed Article PubMed Central Google Scholar27.
Dunlap, J. C., Loros, J. J. & DeCoursey, P. J. Chronobiology: Biological Timekeeping (Sinauer Associates, London, 2004).
Google Scholar28.
Kronfeld-Schor, N. & Dayan, T. Partitioning of time as an ecological resource. Annu. Rev. Ecol. Evol. Syst. 34, 153–181 (2003).
Article Google Scholar29.
Kronfeld-Schor, N. et al. Chronobiology by moonlight. Proc. R. Soc. Lond. B 280, 20123088 (2013).
Google Scholar30.
Welch, K. D. & Harwood, J. D. Temporal dynamics of natural enemy-pest interactions in a changing environment. Biol. Control 75, 18–27 (2014).
Article Google Scholar31.
Raible, F., Takekata, H. & Tessmar-Raible, K. An overview of monthly rhythms and clocks. Front. Neurol. 8, 189 (2017).
PubMed PubMed Central Article Google Scholar32.
Körtner, G. & Geiser, F. The temporal organization of daily torpor and hibernation: circadian and circannual rhythms. Chronobiol. Int. 17, 103–128 (2000).
PubMed Article Google Scholar33.
Holt, R. D. & Polis, G. A. A theoretical framework for intraguild predation. Am. Nat. 149, 745–764 (1997).
Article Google Scholar34.
Holt, R. D. Predation, apparent competition, and the structure of prey communities. Theor. Popul. Biol. 12, 197–229 (1977).
MathSciNet CAS PubMed Article Google Scholar35.
Connell, J. H. Some mechanisms producing structure in natural communities: a model and evidence from field experiments. Ecol. Evol. Commun. 1, 460–490 (1975).
Google Scholar36.
Cozzi, G. et al. Fear of the dark or dinner by moonlight? Reduced temporal partitioning among africa’s large carnivores. Ecology 93, 2590–2599 (2012).
PubMed Article Google Scholar37.
Campera, M. et al. Temporal niche separation between the two ecologically similar nocturnal Primates Avahi meridionalis and Lepilemur fleuretae. Behav. Ecol. Sociobiol. 73, 1–10 (2019).
Article Google Scholar38.
Leonard, J. P., Tewes, M. E., Lombardi, J. V., Wester, D. W. & Campbell, T. A. Effects of sun angle, lunar illumination, and diurnal temperature on temporal movement rates of sympatric ocelots and bobcats in South Texas. PLoS ONE 15, e0231732 (2020).
CAS PubMed PubMed Central Article Google Scholar39.
Shimadzu, H., Dornelas, M., Henderson, P. A. & Magurran, A. E. Diversity is maintained by seasonal variation in species abundance. BMC Biol. 11, 98 (2013).
PubMed PubMed Central Article Google Scholar40.
Gaston, K. J., Bennie, J., Davies, T. W. & Hopkins, J. The ecological impacts of nighttime light pollution: a mechanistic appraisal. Biol. Rev. 88, 912–927 (2013).
PubMed Article PubMed Central Google Scholar41.
Lovegrove, B. G. et al. Are tropical small mammals physiologically vulnerable to Arrhenius effects and climate change?. Physiol. Biochem. Zool. 87, 30–45 (2014).
PubMed Article PubMed Central Google Scholar42.
Yerushalmi, S. & Green, R. M. Evidence for the adaptive significance of circadian rhythms. Ecol. Lett. 12, 970–981 (2009).
PubMed Article PubMed Central Google Scholar43.
Bradshaw, W. E. & Holzapfel, C. M. Genetic response to rapid climate change: it’s seasonal timing that matters. Mol. Ecol. 17, 157–166 (2008).
CAS PubMed Article PubMed Central Google Scholar44.
Sauve, D., Divoky, G. & Friesen, V. L. Phenotypic plasticity or evolutionary change? An examination of the phenological response of an arctic seabird to climate change. Funct. Ecol. 33, 2180–2190 (2019).
Article Google Scholar45.
Abbey-Lee, R. N. & Dingemanse, N. J. Adaptive individual variation in phenological responses to perceived predation levels. Nat. Commun. 10, 1601 (2019).
ADS CAS PubMed PubMed Central Article Google Scholar More250 Shares149 Views
in EcologyPlant health status effects on arbuscular mycorrhizal fungi associated with Lavandula angustifolia and Lavandula intermedia infected by Phytoplasma in France
1.
Smith, S. E. & Read, D. J. Mycorrhizal Symbiosis 3rd edn. (Academic Press, London, 2008).
Google Scholar
2.
Gianinazzi, S. et al. Agroecology: the key role of arbuscularmycorrhizas in ecosystem services. Mycorrhiza 20, 519–530 (2010).
Article Google Scholar3.
Lenoir, I., Fontaine, J. & Sahraoui, A. L. H. Arbuscularmycorrhizal fungal responses to abiotic stresses: a review. Phytochem 123, 4–15 (2016).
CAS Article Google Scholar4.
Song, Y., Chen, D., Lu, K., Sun, Z. & Zeng, R. Enhanced tomato disease resistance primed by arbuscularmycorrhizal fungus. Front. Plant Sci. 6, 786 (2015).
PubMed PubMed Central Google Scholar5.
Van Geel, M. et al. Abiotic rather than biotic filtering shapes the arbuscularmycorrhizal fungal communities of European seminatural grasslands. New Phytol. 220, 1262–1272 (2018).
Article Google Scholar6.
Varma, A., Prasad, R. & Tuteja, N. Mycorrhiza—Nutrient Uptake (Biocontrol, Ecorestoration Fourth Edition, Springer, 2017).
Google Scholar7.
Yu, L., Nicolaisen, J., Larsen, J. & Ravnskov, S. Molecular characterization of root-associated fungal communities in relation to health status of Pisum sativum using barcoded pyrosequencing. Plant Soil 357, 395–405 (2012).
CAS Article Google Scholar8.
Corredor, A. H., Van Rees, K. & Vujanovic, V. Host genotype and health status influence on the composition of the arbuscularmycorrhizal fungi in Salix bioenergy plantations. For. Ecol. Manag. 314, 112–119 (2014).
Article Google Scholar9.
Martinez, N. & Johnson, N. C. Agricultural management influences propagule densities and functioning of arbuscularmycorrhizas in low- and high-input agroecosystems in arid environments. Appl. Soil Ecol. 46, 300–306 (2010).
Article Google Scholar10.
Hontoria, C., García-González, I., Quemada, M., Roldánd, A. & Alguacil, M. M. The cover crop determines the AMF community composition in soil and in roots of maize after a ten-year continuous crop rotation. Sci. Total Environ. 660, 913–922 (2019).
ADS CAS Article Google Scholar11.
Lumini, E., Vallino, M., Alguacil, M. M., Romani, M. & Bianciotto, V. Different farming and water regimes in Italian rice fields affect arbuscularmycorrhizal fungal soil communities. Ecol. Appl. 21, 1696–1707 (2011).
Article Google Scholar12.
Manoharan, L., Rosenstock, N. P., Williams, A. & Hedlund, K. Agricultural management practices influence AMF diversity and community composition with cascading effects on plant productivity. Appl. Soil Ecol. 115, 53–59 (2017).
Article Google Scholar13.
Dai, M., Bainard, L. D., Hamel, C., Gan, Y. & Lynch, D. Impact of land use on arbuscularmycorrhizal fungal communities in rural Canada. Appl. Environ. Microbiol. 79, 6719–6729 (2013).
CAS Article Google Scholar14.
Aghili, F. et al. Wheat plants invest more in mycorrhizae and receive more benefits from them under adverse than favorable soil conditions. Appl. Soil Ecol. 84, 93–111 (2014).
Article Google Scholar15.
Gaudin, J., Semetey, O., Foissac, X. & Eveillard, S. Phytoplasmatiter in diseased lavender is not correlated to lavender tolerance to stolburphytoplasma. Bull. Insectol. 64(Supplement), S179–S180 (2011).
Google Scholar16.
Kamińska, M., Klamkowski, K., Berniak, H. & Treder, W. Effect of arbuscularmycorrhizal fungi inoculation on aster yellows phytoplasma-infected tobacco plants. Sci. Hortic. 125, 500–503 (2010).
Article Google Scholar17.
Batlle, A. et al. Tolerance increase to Candidatus phytoplasma prunorum in mycorrhizal plums fruit trees. Bull. Insectol. 64, 125–126 (2011).
Google Scholar18.
D’ameli, R. et al. Increased plant tolerance against chrysanthemum yellows phytoplasma (Candidatus Phytoplasma asteris) following double inoculation with Glomusmosseae BEG12 and Pseudomonas putida S1Pf1Rif. Plant. Pathol. 60, 1014–1022 (2011).
Article Google Scholar19.
Fiorilli, V. et al. Omics approaches revealed how arbuscularmycorrhizal symbiosis enhances yield and resistance to leaf pathogen in wheat. Sci. Rep. 8, 9625 (2018).
ADS Article Google Scholar20.
Bødker, L., Kjøller, R., Kristensen, K. & Rosendahl, S. Interactions between indigenous arbuscularmycorrhizal fungi and Aphanomyces euteiches in field-grown pea. Mycorrhiza 12, 7–12 (2002).
Article Google Scholar21.
Al-Askar, A. A. & Rashad, Y. M. Arbuscularmycorrhizal fungi: a biocontrol agent against common bean Fusarium root rot disease. Plant Pathol. J. 9, 31–38 (2010).
Article Google Scholar22.
Hugoni, M., Luis, P., Guyonnet, J. & Haichar, F. Z. Plant host habitat and root exudates shape fungal diversity. Mycorrhiza 28, 451–463 (2018).
Article Google Scholar23.
Bertaccini, A. & Duduk, B. Phytoplasma and phytoplasma diseases: A review of recent research. Phytopathol. Mediterr. 48, 355–378 (2009).
CAS Google Scholar24.
Stierlin, E., Nicolè, F., Costes, T., Fernandez, X. & Michel, T. Metabolomic study of volatile compounds emitted by lavender grown under open-field conditions: a potential approach to investigate the yellow decline disease. Metabolomics 16, 31 (2020).
CAS Article Google Scholar25.
Lopez-Garcia, A. et al. Plant traits determine the phylogenetic structure of arbuscularmycorrhizal fungal communities. Mol. Ecol. 26, 6948–6959 (2017).
Article Google Scholar26.
Alguacil, M. M., Díaz, G., Torres, P., Rodríguez-Caballero, G. & Roldan, A. Host identity and functional traits determine the community composition of the arbuscularmycorrhizal fungi in facultative epiphytic plant species. Fungal Ecol. 39, 307–315 (2019).
Article Google Scholar27.
Neuenkamp, L. et al. The role of plant mycorrhizal type and status in modulating the relationship between plant and arbuscularmycorrhizal fungal communities. New Phytol. 220, 1236–1247 (2018).
CAS Article Google Scholar28.
Alguacil, M. M., Torrecillas, E., García-Orenes, F. C. & Roldán, A. Changes in the composition and diversity of AMF communities mediated by management practices in a Mediterranean soil are related with increases in soil biological activity. Soil Biol. Biochem. 76, 34–44 (2014).
CAS Article Google Scholar29.
Giri, B. & Mukerji, K. G. Mycorrhizal inoculant alleviates salt stress in Sesbania aegyptiaca and Sesbania grandiflora under field conditions: evidence for reduced sodium and improved magnesium uptake. Mycorrhiza 14, 307–312 (2004).
Article Google Scholar30.
Phillips, J. M. & Hayman, D. S. Improved procedure for clearing roots and staining parasitic and vesicular–arbuscularmycorrhizal fungi for rapid assessment of infection. Trans. Br. Mycol. Soc. 55, 158–163 (1970).
Article Google Scholar31.
Trouvelot, A., Kough, J. L. & Gianinazzi-Pearson, V. Mesure du taux de mycorhization VA d’un système radiculaire. Recherche de méthodes ayant une signification fonctionnelle. In Physiological and genetical aspects of mycorrhizae (eds Gianinazzi-Pearson, V. & Gianinazzi, S.) 217–221 (INRA Press, Paris, 1986).
Google Scholar32.
Gollotte, A., van Tuinen, D. & Atkinson, D. Diversity of arbuscularmycorrhizalfungicolonisingroots of the grassspeciesAgrostis capillaris and Lolium perenne in a fieldexperiment. Mycorrhiza 14, 111–117 (2004).
Article Google Scholar33.
Binet, M. N. et al. Responses of above- and below-ground fungal symbionts to cessation of mowing in subalpine grassland. Fungal Ecol. 25, 14–21 (2017).
Article Google Scholar34.
Mouhamadou, B. et al. Effects of two grass species on the composition of soil fungal communities. Biol. Fertil. Soils 49, 1131–1139 (2013).
Article Google Scholar35.
Boyer, F. et al. Obitools: a unix- inspired software package for DNA metabarcoding. Mol. Ecol. Resour. 16, 176–182 (2016).
CAS Article Google Scholar36.
Lentendu, G. et al. Assessment of soil fungal diversity in different alpine tundra habitats by means of pyrosequencing. Fungal Div. 49, 113–123 (2011).
Article Google Scholar37.
van Dongen, S. Graph clustering by flow simulation. Ph.D. thesis, University of Utrecht (2000).38.
Thompson, L. A. S-PLUS (and R) manual to accompany Agresti’s Categorical Data Analysis (2002), 2nd ed (2009).39.
Oksanen, J., Kindt, R., Legendre, P., O’Hara, B. & Gavin, L. vegan: Community Ecology Package. R package version 1.15–4 (2009).40.
Mouhamadou, B. et al. Molecular screening of xerophilic Aspergillus strains producing mycophenolic acid. Fungal Biol. 121, 103–111 (2017).
CAS Article Google Scholar More200 Shares109 Views
in EcologyEffects of precipitation and temperature on precipitation use efficiency of alpine grassland in Northern Tibet, China
1.
Xu, X. et al. Interannual variability in responses of belowground net primary productivity (NPP) and NPP partitioning to long-term warming and clipping in a tallgrass prairie. Global Change Biol. 18(5), 1648–1656 (2012).
ADS Article Google Scholar
2.
Hui, D. & Jackson, R. B. Geographical and interannual variability in biomass partitioning in grassland ecosystems: a synthesis of field data. New Phytol. 169(1), 85–93 (2006).
CAS Article Google Scholar3.
Zhang, X. et al. Impact of prolonged drought on rainfall use efficiency using MODIS data across China in the early 21st century. Remote Sens. Environ. 150, 188–197 (2014).
ADS Article Google Scholar4.
Jiang, Y. et al. Effects of community structure on precipitation-use efficiency of grasslands in Northern Tibet. J. Veg Sci. 28, 281–290 (2017).
Article Google Scholar5.
Roupsard, O. et al. Scaling-up productivity (NPP) using light or water use efficiencies (LUE, WUE) from a two-layer tropical plantation. Agrofor. Syst. 76(2), 409–422 (2009).
Article Google Scholar6.
Prince, S. D., De Colstoun, E. B. & Kravitz, L. L. Evidence from rain-use efficiencies does not indicate extensive Sahelian desertification. Global Change Biol. 4(4), 359–374 (1998).
ADS Article Google Scholar7.
Fensholt, R. & Rasmussen, K. Analysis of trends in the Sahelian “rain-use efficiency” using GIMMS NDVI, RFE and GPCP rainfall data. Remote Sens. Environ. 115(2), 438–451 (2011).
ADS Article Google Scholar8.
Ye, H., Wang, J., Huang, M. & Qi, S. Spatial pattern of vegetation precipitation use efficiency and its response to precipitation and temperature on the Qinghai-Xizang Plateau of China. Chin. J. Plant. Ecol. 36(12), 1237–1247 (2012).
Article Google Scholar9.
Bai, Y. et al. Primary production and rain use efficiency across a precipitation gradient on the Mongolia plateau. Ecology 89(8), 2140–2153 (2008).
Article Google Scholar10.
Paruelo, J. M., Lauenroth, W. K., Burke, I. C. & Sala, O. E. Grassland precipitation-use efficiency varies across a resource gradient. Ecosystems 2(1), 64–68 (1999).
Article Google Scholar11.
Yang, Y., Fang, J., Fay, P. A., Bell, J. E. & Ji, C. Rain use efficiency across a precipitation gradient on the Tibetan Plateau. Geophys. Res. Lett. 37, L15702 (2010).
ADS Google Scholar12.
Li, H. X., Liu, G. H. & Fu, B. J. Spatial variations of rain-use efficiency along a climate gradient on the Tibetan Plateau: a satellite-based analysis. Int. J. Remote Sens. 34(21), 7487–7503 (2013).
ADS Article Google Scholar13.
Huxman, T. E. et al. Convergence across biomes to a common rain-use efficiency. Nature 429(6992), 651–654 (2004).
ADS CAS Article Google Scholar14.
Hu, Z. et al. Precipitation-use efficiency along a 4500-km grassland transect. Glob. Ecol. Biogeogr. 19(6), 842–851 (2010).
Article Google Scholar15.
Lauenroth, W. K., Burke, I. C. & Paruelo, J. M. Patterns of production and precipitation-use efficiency of winter wheat and native grasslands in the central Great Plains of the United States. Ecosystems 3(4), 344–351 (2000).
Article Google Scholar16.
Hooper, D. U. & Johnson, L. Nitrogen limitation in dryland ecosystems: Responses to geographical and temporal variation in precipitation. Biogeochemistry 46(1–3), 247–293 (1999).
CAS Google Scholar17.
Xu, X., Sherry, R. A., Niu, S., Li, D. & Luo, Y. Net primary productivity and rain-use efficiency as affected by warming, altered precipitation, and clipping in a mixed-grass prairie. Global Change Biol. 19(9), 2753–2764 (2013).
ADS Article Google Scholar18.
De Boeck, H. J. et al. How do climate warming and plant species richness affect water use in experimental grasslands?. Plant Soil 288(1–2), 249–261 (2006).
ADS Article Google Scholar19.
Campos, G. E. P. et al. Ecosystem resilience despite large-scale altered hydroclimatic conditions. Nature 494(7437), 349–352 (2013).
ADS Article Google Scholar20.
Qiu, J., Zhang, H. & Shen, W. Spatial characteristics of precipitation use efficiency on the Qinghai-Tibet Plateau From 1982 to 2007. J. Fudan. Univ. Nat. Sci. 53(1), 126–133 (2014).
Google Scholar21.
Wang, Q. W., Yu, D. P., Dai, L. M., Zhou, L. & Zhou, W. M. Research progress in water use efficiency of plants under global climate change. Chin. J. Appl. Ecol. 21(12), 3255–3265 (2000).
Google Scholar22.
Chen, S. P., Bai, Y. F., Zhang, L. X. & Han, X. G. Comparing physiological responses of two dominant grass species to nitrogen addition in Xilin River Basin of China. Environ. Exp. Bot. 53(1), 65–75 (2005).
Article Google Scholar23.
Qiu, J. The third pole. Nature 454(7203), 393–396 (2008).
CAS Article Google Scholar24.
Chen, B. X. et al. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau. Agric. For. Meteorol. 189, 11–18 (2014).
ADS Article Google Scholar25.
Jiang, Y. B. et al. Effects of community structure on precipitation-use efficiency of grasslands in northern Tibet. J. Veg. Sci. 28, 281–290 (2017).
Article Google Scholar26.
Gao, Q. Z. et al. Effects of topography and human activity on the net primary productivity (NPP) of alpine grassland in northern Tibet from 1981 to 2004. Int. J. Remote Sens. 34(6), 2057–2069 (2013).
ADS Article Google Scholar27.
Zhang, J. H., Yao, F. M., Zheng, L. G. & Yang, L. M. Evaluation of grassland dynamics in the Northern-Tibet Plateau of China using remote sensing and climate data. Sensors 7(12), 3312–3328 (2007).
Article Google Scholar28.
Li, Z., Huffman, T., McConkey, B. & Townley-Smith, L. Monitoring and modeling spatial and temporal patterns of grassland dynamics using time-series MODIS NDVI with climate and stocking data. Remote Sens. Environ. 138, 232–244 (2013).
ADS Article Google Scholar29.
Zhang, X. K., Lu, X. Y. & Wang, X. D. Spatial-temporal NDVI variation of different alpine grassland classes and groups in Northern Tibet from 2000 to 2013. Mt. Res. Dev. 35(3), 254–263 (2015).
Article Google Scholar30.
Yu, D. Y., Shi, P. J., Shao, H. B., Zhu, W. Q. & Pan, Y. H. Modelling net primary productivity of terrestrial ecosystems in East Asia based on an improved CASA ecosystem model. Int. J. Remote Sens. 30(18), 4851–4866 (2009).
ADS Article Google Scholar31.
Gao, Q. Z. et al. Dynamics of alpine grassland NPP and its response to climate change in Northern Tibet. Clim. Change 97(3–4), 515–528 (2009).
ADS CAS Article Google Scholar32.
Zhu, W. Q., Pan, Y. Z., He, H., Yu, D. Y. & Hu, H. B. Simulation of maximum light use efficiency for some typical vegetation types in China. Chin. Sci. Bull. 51(4), 457–463 (2006).
CAS Article Google Scholar33.
Zhao, G. S. et al. Spatial-temporal variation of ANPP and rain-use efficiency along a precipitation gradient on Changtang Plateau, Tibet. Remote Sens. 11, 325 (2019).
ADS Article Google Scholar34.
Sun, J. & Du, W. Effects of precipitation and temperature on net primary productivity and precipitation use efficiency across China’s grasslands. GISci. Remote Sens. 54(6), 881–897 (2017).
Article Google Scholar35.
Chen, Z. Q., Shao, Q. Q., Liu, J. Y. & Wang, J. B. Analysis of net primary productivity of terrestrial vegetation on the Qinghai-Tibet Plateau, based on MODIS remote sensing data. Sci. China Earth Sci. 55(8), 1306–1312 (2012).
ADS Article Google Scholar36.
Piao, S. & Fang, J. Terrestrial net primary production and its spatio-temporal patterns in Qinghai-Xizang Plateau, China during 1982–1999. J. Nat. Resour. 03, 373–380 (2002).
Google Scholar37.
Gao, Q. Z., Wan, Y. F., Li, Y. E., Lin, E. D. & Yang, K. Grassland net primary production and its spatiotemporal distribution in Northern Tibet: a study with CASA model. Chin. J. Appl. Ecol. 11, 2526–2532 (2007).
Google Scholar38.
Zhou, C. P., Ouyang, H., Wang, Q. X., Watanabe, M. & Sun, Q. Q. Estimation net primary productivity in Tibetan Plateau. Acta Geogr. Sin. 01, 74–79 (2004).
Google Scholar39.
Yang, Y. H. et al. Storage, patterns and controls of soil organic carbon in the Tibetan grasslands. Global Change Biol. 14, 1592–1599 (2008).
ADS Article Google Scholar More188 Shares139 Views
in EcologyArbuscular mycorrhizal fungi favor invasive Echinops sphaerocephalus when grown in competition with native Inula conyzae
1.
Spatafora, J. W. et al. A phylum-level phylogenetic classification of zygomycete fungi based on genome-scale data. Mycologia 108, 1028–1046 (2016).
CAS PubMed PubMed Central Article Google Scholar
2.
Smith, S. E. & Read, D. J. Mycorrhizal Symbiosis (Academic Press, Amsterdam, 2008).
Google Scholar3.
van der Heijden, M. G. A., Martin, F. M., Selosse, M. A. & Sanders, I. R. Mycorrhizal ecology and evolution: the past, the present, and the future. New Phytol. 205, 1406–1423 (2015).
PubMed Article CAS PubMed Central Google Scholar4.
Lekberg, Y., Hammer, E. C. & Olsson, P. A. Plants as resource islands and storage units—adopting the mycocentric view of arbuscular mycorrhizal networks. FEMS Microbiol. Ecol. 74, 336–345 (2010).
CAS PubMed Article PubMed Central Google Scholar5.
Allen, M. F. Mycorrhizal fungi: highways for water and nutrients in arid soils. Vadose Zone J. 6, 291–297 (2007).
Article Google Scholar6.
Newsham, K. K., Fitter, A. H. & Watkinson, A. R. Arbuscular mycorrhiza protect an annual grass from root pathogenic fungi in the field. J. Ecol. 83, 991–1000 (1995).
Article Google Scholar7.
Vigo, C., Norman, J. R. & Hooker, J. E. Biocontrol of the pathogen Phytophthora parasitica by arbuscular mycorrhizal fungi is a consequence of effects on infection loci. Plant Pathol. 49, 509–514 (2000).
Article Google Scholar8.
Aroca, R., Porcel, R. & Ruiz-Lozano, J. M. How does arbuscular mycorrhizal symbiosis regulate root hydraulic properties and plasma membrane aquaporins in Phaseolus vulgaris under drought, cold or salinity stresses?. New Phytol. 173(4), 808–816 (2007).
CAS PubMed Article PubMed Central Google Scholar9.
Augé, R. M., Toler, H. D. & Saxton, A. M. Arbuscular mycorrhizal symbiosis and osmotic adjustment in response to NaCl stress: a meta-analysis. Front Plant Sci. 5, ARTN 562. https://doi.org/10.3389/fpls.2014.00562 (2014).10.
Augé, R. M., Toler, H. D. & Saxton, A. M. Arbuscular mycorrhizal symbiosis alters stomatal conductance of host plants more under drought than under amply watered conditions: a meta-analysis. Mycorrhiza 25(1), 13–24 (2015).
PubMed Article PubMed Central Google Scholar11.
Pfeffer, P. E., Douds, D. D., Becard, G. & Shachar-Hill, Y. Carbon uptake and the metabolism and transport of lipids in an arbuscular mycorrhiza. Plant Physiol. 120(2), 587–598 (1999).
CAS PubMed PubMed Central Article Google Scholar12.
Bago, B., Pfeffer, P. E. & Shachar-Hill, Y. Carbon metabolism and transport in arbuscular mycorrhizas. Plant Physiol. 124(3), 949–958 (2000).
CAS PubMed PubMed Central Article Google Scholar13.
Horton, T. R. Mycorrhizal networks (Springer, Dordrecht, 2015).
Google Scholar14.
Walder, F. & van der Heijden, M. G. A. Regulation of resource exchange in the arbuscular mycorrhizal symbiosis. Nat. Plants 1(11), 7 (2015).
Article CAS Google Scholar15.
van der Heijden, M. G. A. et al. Mycorrhizal fungal diversity determines plant biodiversity, ecosystem variability and productivity. Nature 396(6706), 69–72 (1998).
ADS Article CAS Google Scholar16.
Wilson, G. W. T., Hartnett, D. C. & Rice, C. W. Mycorrhizal-mediated phosphorus transfer between the tallgrass prairie plants Sorghastrum nutans and Artemisia ludoviciana. Funct. Ecol. 20, 427–435 (2006).
Article Google Scholar17.
Bever, J. D. et al. Rooting theories of plant community ecology in microbial interactions. Trends Ecol. Evol. 25(8), 468–478 (2010).
PubMed PubMed Central Article Google Scholar18.
Walder, F. et al. Mycorrhizal networks: common goods of plants shared under unequal terms of trade. Plant Physiol. 159, 789–797 (2012).
CAS PubMed PubMed Central Article Google Scholar19.
Weremijewicz, J., Sternberg, L. & Janos, D. P. Common mycorrhizal networks amplify competition by preferential mineral nutrient allocation to large host plants. New Phytol. 212(2), 461–471 (2016).
CAS PubMed Article PubMed Central Google Scholar20.
Řezáčová, V. et al. Little cross-feeding of the mycorrhizal networks shared between C3-Panicum bisulcatum and C4-Panicum maximum under different temperature regimes. Front. Plant Sci. 9, 16. https://doi.org/10.3389/fpls.2018.00449 (2018).
Article Google Scholar21.
Deslippe, J. R. & Simard, S. W. Below-ground carbon transfer among Betula nana may increase with warming in Arctic tundra. New Phytol. 192, 689–698 (2011).
CAS PubMed Article PubMed Central Google Scholar22.
Bever, J. D., Richardson, S. C., Lawrence, B. M., Holmes, J. & Watson, M. Preferential allocation to beneficial symbiont with spatial structure maintains mycorrhizal mutualism. Ecol. Lett. 12(1), 13–21 (2009).
PubMed Article PubMed Central Google Scholar23.
Lendenmann, M. et al. Symbiont identity matters: carbon and phosphorus fluxes between Medicago truncatula and different arbuscular mycorrhizal fungi. Mycorrhiza 21(8), 689–702 (2011).
CAS PubMed Article PubMed Central Google Scholar24.
Kiers, E. T. et al. Reciprocal rewards stabilize cooperation in the mycorrhizal symbiosis. Science 333(6044), 880–882 (2011).
ADS CAS PubMed Article PubMed Central Google Scholar25.
Rillig, M. C. Arbuscular mycorrhizae and terrestrial ecosystem processes. Ecol. Lett. 7, 740–754 (2004).
Article Google Scholar26.
Verbruggen, E. & Kiers, E. T. Evolutionary ecology of mycorrhizal functional diversity in agricultural systems. Evol Appl. 3(5–6), 547–560 (2010).
PubMed PubMed Central Article Google Scholar27.
van Kleunen, M. et al. Global exchange and accumulation of non-native plants. Nature 525(7567), 100–103 (2015).
ADS PubMed Article CAS PubMed Central Google Scholar28.
Pejchar, L. & Mooney, H. A. Invasive species, ecosystem services and human well-being. Trends Ecol. Evol. 24(9), 497–504 (2009).
PubMed Article PubMed Central Google Scholar29.
Pyšek, P. et al. A global assessment of invasive plant impacts on resident species, communities and ecosystems: the interaction of impact measures, invading species’ traits and environment. Glob. Change Biol. 18(5), 1725–1737 (2012).
ADS Article Google Scholar30.
Blackburn, T. M. et al. A unified classification of alien species based on the magnitude of their environmental impacts. PLoS Biol. 12(5), ARTN e1001850. https://doi.org/10.1371/journal.pbio.1001850 (2014).31.
Mitchell, C. E. et al. Biotic interactions and plant invasions. Ecol. Lett. 9(6), 726–740 (2006).
PubMed Article PubMed Central Google Scholar32.
Catford, J. A., Jansson, R. & Nilsson, C. Reducing redundancy in invasion ecology by integrating hypotheses into a single theoretical framework. Divers. Distrib. 15(1), 22–40 (2009).
Article Google Scholar33.
van der Putten, W. H. Impacts of soil microbial communities on exotic plant invasions. Trends Ecol. Evol. 25(9), 512–519 (2010).
PubMed Article Google Scholar34.
Keane, R. M. & Crawley, M. J. Exotic plant invasions and the enemy release hypothesis. Trends Ecol. Evol. 17(4), 164–170 (2002).
Article Google Scholar35.
Pyšek, P. et al. Naturalization of central European plants in North America: species traits, habitats, propagule pressure, residence time. Ecology 96(3), 762–774 (2015).
PubMed Article Google Scholar36.
Davis, M. A., Grime, J. P. & Thompson, K. Fluctuating resources in plant communities: a generaltheory of invasibility. J. Ecol. 88, 528–534 (2000).
Article Google Scholar37.
Callaway, R. M., Thelen, G. C., Rodriguez, A. & Holben, W. E. Soil biota and exotic plant invasion. Nature 427(6976), 731–733 (2004).
ADS CAS PubMed Article Google Scholar38.
Rudgers, J. A. & Orr, S. Non-native grass alters growth of native tree species via leaf and soil microbes. J. Ecol 97(2), 247–255 (2009).
Article Google Scholar39.
Sun, Z. K. & He, W. M. Evidence for enhanced mutualism hypothesis: Solidago canadensis plants from regular soils perform better. PLoS ONE 5(11), 5. https://doi.org/10.1371/journal.pone.0015418 (2010).
CAS Article Google Scholar40.
Dickie, I. A. et al. The emerging science of linked plant-fungal invasions. New Phytol. 215(4), 1314–1332 (2017).
CAS PubMed Article PubMed Central Google Scholar41.
Cronk, Q. C. B. & Fuller, J. R. Plant Invaders: The Threat to Natural Ecosystems (Earthscan Publications, London, 2001).
Google Scholar42.
Richardson, D. M., Allsopp, N., D’Antonio, C. M., Milton, S. J. & Rejmanek, M. Plant invasions—the role of mutualisms. Biol. Rev. 75(1), 65–93 (2000).
CAS PubMed Article PubMed Central Google Scholar43.
Pringle, A. et al. Mycorrhizal symbioses and plant invasions. Ann Rev. Ecol. Evol. Syst. 40, 699–715 (2009).
Article Google Scholar44.
Wilson, G. W. T., Hickman, K. R. & Williamson, M. M. Invasive warm-season grasses reduce mycorrhizal root colonization and biomass production of native prairie grasses. Mycorrhiza 22, 327–336 (2012).
PubMed Article PubMed Central Google Scholar45.
Nunez, M. A. & Dickie, I. A. Invasive belowground mutualists of woody plants. Biol. Invasions 16, 645–661 (2014).
Article Google Scholar46.
Bunn, R. A., Ramsey, P. W. & Lekberg, Y. Do native and invasive plants differ in their interactions with arbuscular mycorrhizal fungi? A meta-analysis. J. Ecol. 103, 1547–1556 (2015).
CAS Article Google Scholar47.
Gucwa-Przepiora, E., Chmura, D. & Sokolowska, K. AM and DSE colonization of invasive plants in urban habitat: a study of Upper Silesia (southern Poland). J. Plant Res. 129, 603–614 (2016).
PubMed PubMed Central Article Google Scholar48.
Waller, L. P., Callaway, R. M., Klironomos, J. N., Ortega, Y. K. & Maron, J. L. Reduced mycorrhizal responsiveness leads to increased competitive tolerance in an invasive exotic plant. J. Ecol. 104, 1599–1607 (2016).
Article Google Scholar49.
Menzel, A. et al. Mycorrhizal status helps explain invasion success of alien plant species. Ecology 98, 92–102 (2017).
PubMed Article PubMed Central Google Scholar50.
Broadbent, A. A. D., Stevens, C. J., Ostle, N. J. & Orwin, K. H. Biogeographic differences in soil biota promote invasive grass response to nutrient addition relative to co-occurring species despite lack of belowground enemy release. Oecologia 186, 611–620 (2018).
ADS PubMed Article PubMed Central Google Scholar51.
Vogelsang, K. M. & Bever, J. D. Mycorrhizal densities decline in association with nonnative plants and contribute to plant invasion. Ecology 90, 399–407 (2009).
PubMed Article PubMed Central Google Scholar52.
Reinhart, K. O. & Callaway, R. M. Soil biota and invasive plants. New Phytol. 170, 445–457 (2006).
PubMed Article PubMed Central Google Scholar53.
Pakpour, S. & Klironomos, J. The invasive plant, Brassica nigra, degrades local mycorrhizas across a wide geographical landscape. R. Soc. Open Sci. 2, 4 (2015).
Article Google Scholar54.
Shah, M. A., Reshi, Z. A. & Khasa, D. P. Arbuscular mycorrhizas: Drivers or passengers of alien plant invasion. Bot. Rev. 75, 397–417 (2009).
Article Google Scholar55.
De Souza, T. A. F., Rodriguez-Echeverria, S., de Andrade, L. A. & Freitas, H. Could biological invasion by Cryptostegia madagascariensis alter the composition of the arbuscular mycorrhizal fungal community in semi-arid Brazil?. Acta Bot. Bras. 30, 93–101 (2016).
Article Google Scholar56.
Awaydul, A. et al. Common mycorrhizal networks influence the distribution of mineral nutrients between an invasive plant, Solidago canadensis, and a native plant, Kummerowa striata. Mycorrhiza 29, 29–38 (2019).
CAS PubMed Article PubMed Central Google Scholar57.
Štajerová, K., Šmilauerová, M. & Šmilauer, P. Arbuscular mycorrhizal symbiosis of herbaceous invasive neophytes in the Czech Republic. Preslia 81, 341–355 (2009).
Google Scholar58.
Hempel, S. et al. Mycorrhizas in the Central European flora: relationships with plant life history traits and ecology. Ecology 94, 1389–1399 (2013).
PubMed Article PubMed Central Google Scholar59.
Callaway, R. M., Newingham, B., Zabinski, C. A. & Mahall, B. E. Compensatory growth and competitive ability of an invasive weed are enhanced by soil fungi and native neighbours. Ecol. Lett. 4, 429–433 (2001).
Article Google Scholar60.
Workman, R. E. & Cruzan, M. B. Common mycelial networks impact competition in an invasive grass. Am. J. Bot. 103, 1041–1049 (2016).
CAS PubMed Article PubMed Central Google Scholar61.
Zhang, Q. et al. Potential allelopathic effects of an invasive species Solidago canadensis on the mycorrhizae of native plant species. Allelopathy J. 20, 71–77 (2007).
ADS CAS Google Scholar62.
Callaway, R. M. et al. Novel weapons: Invasive plant suppresses fungal mutualists in America but not in its native Europe. Ecology 89, 1043–1055 (2008).
PubMed Article PubMed Central Google Scholar63.
Sarma, K. K. V. Allelopathic potential of Echinops echinatus and Solanum surratense on seed germination of Argemone mexicana. Trop. Ecol. 15, 156–157 (1974).
Google Scholar64.
Smith, M. D., Hartnett, D. C. & Wilson, G. W. T. Interacting influence of mycorrhizal symbiosis and competition on plant diversity in tallgrass prairie. Oecologia 121, 574–582 (1999).
ADS CAS PubMed Article PubMed Central Google Scholar65.
Bennett, J. A. et al. Plant-soil feedbacks and mycorrhizal type influence temperate forest population dynamics. Science 355, 181–184 (2017).
ADS CAS PubMed Article PubMed Central Google Scholar66.
Liao, H. X. et al. Soil microbes regulate forest succession in a subtropical ecosystem in China: evidence from a mesocosm experiment. Plant Soil 430, 277–289 (2018).
CAS Article Google Scholar67.
Řezáčová, V. et al. Mycorrhizal symbiosis induces plant carbon reallocation differently in C3 and C4Panicum grasses. Plant Soil 425, 441–456 (2018).
Article CAS Google Scholar68.
Newman, E. I. A method of estimating total length of root in a sample. J. Appl. Ecol. 3, 139–145 (1966).
Article Google Scholar69.
Bukovská, P., Gryndler, M., Gryndlerová, H., Püschel, D. & Jansa, J. Organic nitrogen-driven stimulation of arbuscular mycorrhizal fungal hyphae correlates with abundance of ammonia oxidizers. Front. Microbiol. 7, 711 (2016).
PubMed PubMed Central Article Google Scholar70.
Hewitt, E. J. Sand and water culture methods used in the study of plant nutrition. CAB Tech. Commun. 22, 431–432 (1966).
Google Scholar71.
Řezáčová, V. et al. Imbalanced carbon-for-phosphorus exchange between European arbuscular mycorrhizal fungi and non-native Panicum grasses—a case of dysfunctional symbiosis. Pedobiologia 62, 48–55 (2017).
Article Google Scholar72.
Ohno, T. & Zibilske, L. M. Determination of low concentrations of phosphorus in soil extracts using malachite green. Soil Sci. Soc. Am. J. 55, 892–895 (1991).
ADS CAS Article Google Scholar73.
McGonigle, T. P., Miller, M. H., Evans, D. G., Fairchild, G. L. & Swan, J. A. A new method which gives an objective-measure of colonization of roots by vesicular arbuscular mycorrhizal fungi. New Phytol. 115, 495–501 (1990).
Article Google Scholar74.
Koske, R. E. & Gemma, J. N. A modified procedure for staining roots to detect VA-mycorrhizas. Mycol. Res. 92, 486–505 (1989).
Article Google Scholar75.
Gryndler, M. et al. Tuber aestivum Vittad. mycelium quantified: advantages and limitations of a qPCR approach. Mycorrhiza 23, 341–348 (2013).
PubMed Article PubMed Central Google Scholar76.
Thonar, C., Erb, A. & Jansa, J. Real-time PCR to quantify composition of arbuscular mycorrhizal fungal communities-marker design, verification, calibration and field validation. Mol. Ecol. Res. 12, 219–232 (2012).
CAS Article Google Scholar77.
von Felten, A., Défago, G. & Maurhofer, M. Quantification of Pseudomonas fluorescens strains F113, CHA0 and Pf153 in the rhizosphere of maize by strain-specific real-time PCR unaffected by the variability of DNA extraction efficiency. J. Microbiol. Methods 81, 108–115 (2010).
Article CAS Google Scholar78.
Janoušková, M., Püschel, D., Hujslová, M., Slavíková, R. & Jansa, J. Quantification of arbuscular mycorrhizal fungal DNA in roots: how important is material preservation?. Mycorrhiza 25, 205–214 (2015).
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in EcologyEffectiveness of the European Natura 2000 network to sustain a specialist wintering waterbird population in the face of climate change
International Waterbird Census (IWC) data suggest 309,000 Scaup were wintering in North-West Europe in 1988–1991, compared with 192,300 in 2015–2018, indicating that the number of Scaup in this flyway has declined by 38.1% over 31 years (equivalent to a 30.3% decline over three generations, given a Scaup generation length of 8.2 years). Such a rate of decrease qualifies this population as vulnerable (VU) according to criterion A2(c) of the International Union for Conservation of Nature24. Thus, our results confirm the recent attribution of Scaup as a VU on the European Red List18. We suggest that the 1% threshold for the North-West Europe population of the Scaup should be revised to 1900.
In addition to the overall decline in abundance, we also show that changes in winter temperature on the eastern and northern edges of the wintering range potentially explain the observed dramatic shift in winter distribution closer to the breeding grounds. Climate change appears to have opened up more wintering sites to Scaup, especially in the more northern and eastern areas where reductions in winter ice cover have made previous staging sites increasingly accessible in winter. This might be expected to have a positive effect on the population, given that Scaup have more potential wintering sites to choose between and that they face a diminished risk from mass starvation because of the reduced probability of unexpected ice cover of potential feeding areas25. However, the ultimate causes of shifts in wintering distribution remain unknown and could equally relate to deterioration of food quality in southern and western wintering grounds. At Lake IJsselmeer, the annual changes in the large numbers of wintering Scaup there in the 1980s and 1990s were explained by fluctuations in the abundance of their main prey, Zebra Mussel Dreissena polymorpha26. The decline in Zebra Mussels in the IJsselmeer lake and its replacement by Quagga Mussels Dreissena rostriformis bugensis27 resulted in a deterioration in the quality of food resources at the site. These are likely contributory reasons to explain the shift in the centre of gravity of the Scaup wintering grounds to Poland and eastern Germany, although we lack data to determine the magnitude of this effect (Fig. 4, Unit#3). This area now constitutes the most important wintering area for this population, although the detection of Quagga Mussels in this region in 201428 represents a potential threat to the quality of this important wintering ground.
Assuming that some of the birds remain to winter along the migration route on sites formerly only used as stopovers, we can retrospectively infer the migration route of the Scaup population breeding in northern Russia and Fennoscandia (Fig. 1). It would appear that after birds reach the Baltic, they stop in Estonia before traversing the Baltic south-west to Gotland, migrating along the southern coast of Sweden and onwards to the main wintering area in Danish, German and Polish Baltic waters (Unit#3). Some Scaup continue west to reach Unit#2 in the Netherlands, and small numbers continue to reach France and the UK. The small population breeding in Iceland likely winter exclusively in the UK and Ireland, where fewer of the Russian/Fennoscandia population reach in recent winters. The Iceland breeding birds likely constitute a separate biogeographic population, with little contact with the main one discussed here (Fig. 1). Assuming the continuing effects of global warming, we can predict further separation of the two sub-populations and that Unit#4 (Fig. 4), the coast of Gotland and the islands and bays in Estonia will most likely play an increasingly important future role as winter quarters for this species. This is likely to be the case at other sites within eastern Baltic where this species can find suitable habitats.
Our historical analysis has shown that after a period of most rapid decline during 1988–2003, this population could be interpreted as remaining stable during 2003–2018 (Fig. 2). We suspect that this may be partly the result of the significant decrease in the Scaup bycatch in the Netherlands29,30,31. The added mortality from fisheries bycatch represents one of the most important threats to the relatively long-lived Scaup32. Evidence showed that drowning mortality was extremely high between 1985 and 1994, when an estimated average of 17,672 birds died annually in fishing gear (6% of the total population of the time), but this has declined since the 2000s32. Of all Scaup from this flyway population that drowned in fishing nets in years 1978–1990, up to 65% died at the most important wintering site at the time—the Dutch IJsselmeer32. However, our highly uneven knowledge of the extent of the Scaup bycatch throughout its winter range should be taken into account here. Exceptionally detailed estimates from IJsselmeer during the earlier period14 contrasts our lack of data or poor estimates from elsewhere, which may result in a bias that implies a greater importance for Scaup bycatch at the IJsselmeer for the population than was actually the case. Current estimates of bycatch levels throughout the flyway suggest that Scaup death in fishing nets has decreased, amounting to c.4000 individuals yearly, partly explained by the substantial decrease in the Dutch bycatch32.
The second highly important threat to Scaup, perhaps as important as the bycatch, is the deterioration of their food resources. Detailed energy budget studies on Lake IJsselmeer14 suggested that foraging Scaup there were operating on the margins of energetic profitability and the limited number of important wintering sites elsewhere suggest that alternative sites are really scarce, implying that food availability at core wintering sites could potentially affect winter survival.
The specialist habitat selection of the Scaup restricts it to a narrow range of habitats during the wintering period where it aggregates in large concentrations, a factor which causes the entire wintering population to concentrate in relatively few locations. Potentially, this makes them more vulnerable at the population level than most other, more dispersed diving duck species. During the January 2015 count, 91% of counted birds were present at 31 locations in five countries (Denmark, Germany, the Netherlands, Poland and Sweden). The four most important locations supported over two-thirds of the total wintering numbers: namely IJsselmeer in the Netherlands, Barther Bodden and Greifswalder Bodden in Germany and Odra river estuary in Poland (Fig. 4). Taken together, these areas have consistently been the most important wintering areas for Scaup over the last 30 years3,14,20, with two thirds of the flyway population during winter concentrated within 5300 km2 (2000 km2 in the Netherlands and 3300 km2 in Poland/Germany).
Wintering areas in Germany and Poland also act as stopover sites, so much larger numbers are counted there in autumn and spring migration, with up to 100,000 individuals on the Szczecin Lagoon (c.470 km29). Similarly, in Estonia, where a few hundred birds winter (Fig. 1), numbers may exceed 100,000 individuals in spring33. Therefore, cohesive planning for the effective conservation of the species, requires adequate protection at both the most important wintering sites (analysed in this article) and stopover sites along the entire migration route. During spring migration, extremely large Scaup concentrations can occur in these important sites, which provide for other biological functions such a communal courtship, displaying, pair-bonding etc.32. Given that Scaup are among the most vulnerable of diving ducks to bycatch34 (constituting more than 50% of diving birds drowned in fishing nets in the Polish Odra Estuary35) potentially high mortality during the prelude to the breeding season is likely to have severe adverse effects on the entire population. It is important to remember that this site can simultaneously support up to 75% of the total population9 and intensive fishing takes place here with gillnets35—the method of fishing recognised as the most dangerous for drowning diving birds in the Baltic Sea6.
Other environmental pressures on Scaup are no less serious, but currently less well quantified. Many important wintering areas are situated in estuaries of large rivers that invariably host major sea ports, where large vessels cause disturbance and pollution. Maintenance of shipping channels requires dredging (as in the case of the channel leading to the port of Amsterdam on IJsselmeer in the Netherlands and that serving the port of Szczecin on the Szczecin Lagoon in Poland). Dredging of shallow marine and brackish substrates can disrupt sediment horizons, mobilising suspended material, creating turbidity and disrupting the food resource and the ability of Scaup to forage for their prey. The proximity to human settlements also makes these shallow marine waters attractive to the increasing practice of water sports, kite- and wind-surfing, boating and recreational fishing from boats, which although not a source of direct mortality, contributes to disturbance and displacement of Scaup from favoured areas36,37.
SPAs and effectiveness of protection
The long-term conservation aim for a decreasing qualifying species, in accordance with European Union (EU) law (Birds Directive—Council Directive 2009/147/EC), should be to recover them to former level of abundance. To achieve this aim, SPAs should be designated in sites where 1% or more of the biogeographic population regularly occurs. In the case of Scaup, all of such areas are protected in the form of SPA (Table 2). Subsequently, such a SPAs should have a Management Plan (MP) defining the conservation objectives within each site, updated every 6 years. Of the three most important Scaup SPAs in Europe, only the IJsselmeer (NL9803028, Unit#2, Core wintering area, Fig. 4) has a MP for 2013–201738, which described the long term decline (since 1994) in wintering numbers of Scaup in the IJsselmeer and identified the greatest threats for Scaup as declining food resources and disturbance by developing water sports. Although bycatch was conspicuously not listed as a threat, the MP documents previous measures, taken to reduce fishing effort, had resulted from the implementation of another EU Directive—the Water Framework Directive (WFD, Directive 2000/60/EC). The WFD committed EU Member States to achieve good qualitative and quantitative status of all water bodies by 201538. Conservation measures carried out on Lake IJsselmeer over the last 75 years aimed to maintain sustainable fishing did not bring about the intended results on fish stock39. However, they may have had a positive effect on reducing bycatch of Scaup from 11,500 killed annually during 1978–199032 to insignificant numbers in the years 2011–201231, which may have contributed to the slowing in the rate of population decline at this time. In the most important wintering area for this flyway populations—the lagoons and bays either side of the German-Polish border, out of ten SPAs forming one coherent area (Fig. 4) only two have MPs. Moreover, the key SPAs within this area that regularly hold the highest Scaup numbers do not have MPs, they are: Greifswalder Bodden und südlicher Strelasund (DE1747402) in Germany and Szczecin Lagoon (PLB320009) in Poland. The Greifswalder Bodden, Teile des Strelasundes und Nordspitze Usedom (DE1747301) Special Area of Conservation (SAC), which overlaps with the Greifswalder Bodden und südlicher Strelasund SPA, was created under the Habitats Directive (Council Directive 92/43/EEC) and has a MP that identifies the threats to Scaup (e.g. from bycatch). However, because MPs for SACs (as against SPAs) are not primarily directed towards bird conservation, there are no specific regulations to limit the current stressors upon Scaup at this site40. The existing MPs for two other SPAs (“Vorpommersche Boddenlandschaft und nördlicher Strelasund” and “Dolina Dolnej Odry”) either do not identify main threats to Scaup or fail to impose sufficient conservation measures41,42.
Other SPAs that are less important for Scaup within Unit#3 west of the core wintering area include Östliche Kieler Bucht (DE1530491) and Ostsee östlich Wagrien (DE1633491), which have MPs identifying the threat from bycatch. This includes a voluntary agreement between the Schleswig Holstein Ministry of the Environment and local fishery associations, under which areas are closed to fishing if “concentrations of ducks” ( > 100) are present in the areas. Fishermen have two days to remove their gear after closure. There are rigid legal provisions at these two sites that prohibit fishing with gillnets within 200 m of the shore43,44. To date, there is no evidence of a positive effect and reduction of bycatch of diving birds, so we recommend a study of the effectiveness of these provisions.
The shift in the centre of gravity of the wintering population to Germany and Poland highlights the ineffectiveness of conservation measures directed towards Scaup (and other diving birds) there. Despite the existence of SPAs in which the Scaup is specifically protected and evidence of the cost of gillnet bycatch to local diving ducks, the most serious pressure remains unchecked. In 2011–2012, results from research work in the Szczecin Lagoon37 recommended the MP proposed reducing the Scaup (and other diving birds) bycatch by spatiotemporal regulation of gillnet fisheries to avoid key areas used by the birds. Unfortunately, the effective solutions to deliver results for bird conservation were considered too far-reaching by fishing interests. The fishing lobby blocked official approval of the MP by government and so these measures were never implemented. Given the high rates of Scaup bycatch, the designation of the area as a SPA offers no effective protection to the species at this site32. The effectiveness of SPA designation for a particular species remains ineffective, as long as effective management is not implemented. Given the increasing relative importance of the German/Polish resorts to the species in recent years, the lack of effective measures within these SPAs is becoming more critical to safeguard the conservation of the North-West Europe population of Scaup. Suitably prepared MPs, containing a bycatch monitoring order, would solve this problem, setting bycatch thresholds, according to the recommendations of BirdLife International45—1% of natural mortality calculated on the basis of local species abundance. If this value is exceeded, spatiotemporal restrictions on gillnet fishery should be introduced.
Looking to the future, areas that were formerly stopovers are already becoming wintering sites in Sweden and Estonia. Although currently not numerically significant in winter, these sites already hold significant numbers during migration. In the future, satellite areas (Unit#4) have the potential to develop into important wintering grounds and therefore require adequate protection from factors known to affect Scaup survival.
Previous studies show that bycatch in fishing nets is one of the most serious anthropogenic pressures during the non-breeding period for many diving birds6, although we cannot exclude the influence of other factors such as food availability and quality26 and disturbance from hunting46 and water sports37. Because the majority of North-West Europe’s Scaup winter in relatively few places, conservation interventions at these key sites are particularly important. The shift in wintering distribution poses new challenges for countries increasingly responsible for the conservation of this species in winter. Lack of adequate protection in this region means that these areas may act as sink habitats (in the sense of the source-sink model 47). The shift of wintering areas to sink habitats exposes an increasing part of the population to the pressures present there. This is not only the case for Scaup but also for a range of other diving bird species. These birds concentrate in the most attractive areas rich in food, often biologically productive transitional waters, where marine and freshwater birds meet in high densities. For this reason, effective conservation measures directed at Scaup will positively impact upon a whole range of other species with similar ecology. This suggests that protection measures taken for the Scaup could also benefit associated marine species in the same areas such as Long-tailed Duck, Velvet Scoter, Common Scoter Melanitta nigra, as well as for coastal zone species such as: Tufted Duck, Smew Mergellus albellus, and Goosander Mergus merganser. More