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Temporal rarity is a better predictor of local extinction risk than spatial rarity.
Wilfahrt, Peter A; Asmus, Ashley L; Seabloom, Eric W; Henning, Jeremiah A; Adler, Peter; Arnillas, Carlos A; Bakker, Jonathan D; Biederman, Lori; Brudvig, Lars A; Cadotte, Marc; Daleo, Pedro; Eskelinen, Anu; Firn, Jennifer; Harpole, W Stanley; Hautier, Yann; Kirkman, Kevin P; Komatsu, Kimberly J; Laungani, Ramesh; MacDougall, Andrew; McCulley, Rebecca L; Moore, Joslin L; Morgan, John W; Mortensen, Brent; Ochoa Hueso, Raul; Ohlert, Timothy; Power, Sally A; Price, Jodi; Risch, Anita C; Schuetz, Martin; Shoemaker, Lauren; Stevens, Carly; Strauss, Alexander T; Tognetti, Pedro M; Virtanen, Risto; Borer, Elizabeth T.
Affiliation
  • Wilfahrt PA; Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, 55108, USA.
  • Asmus AL; Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, 55108, USA.
  • Seabloom EW; Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, 55108, USA.
  • Henning JA; Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, 55108, USA.
  • Adler P; Department of Biology, University of South Alabama, Mobile, Alabama, 36688, USA.
  • Arnillas CA; Department of Wildland Resources and the Ecology Center, Utah State University, Logan, Utah, 84322, USA.
  • Bakker JD; Department of Physical and Environmental Sciences, University of Toronto Scarborough, Toronto, Ontario, M1C 1A4, Canada.
  • Biederman L; School of Environmental and Forest Sciences, University of Washington, Seattle, Washington, 98195, USA.
  • Brudvig LA; Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa, 50011, USA.
  • Cadotte M; Department of Plant Biology and Program in Ecology, Evolutionary Biology and Behavior, Michigan State University, East Lansing, Michigan, 48824, USA.
  • Daleo P; Department of Biological Sciences, University of Toronto Scarborough, Toronto, Ontario, M1C 1A4, Canada.
  • Eskelinen A; Instituto de Investigaciones Marinas y Costeras (IIMyC), CONICET - UNMDP, Mar del Plata, Argentina.
  • Firn J; Department of Biology, German Centre for Integrative Biodiversity Research (iDiv), Leipzig, 04103, Germany.
  • Harpole WS; School of Biology & Environmental Science, Queensland University of Technology, Brisbane, Queensland, 4000, Australia.
  • Hautier Y; Department of Biology, German Centre for Integrative Biodiversity Research (iDiv), Leipzig, 04103, Germany.
  • Kirkman KP; Department of Physiological Diversity, Helmholtz Center for Environmental Research - UFZ, Permoserstrasse 15, Leipzig, 04318, Germany.
  • Komatsu KJ; Martin Luther University Halle-Wittenberg, am Kirchtor 1, Halle (Saale), 06108, Germany.
  • Laungani R; Ecology and Biodiversity Group, Department of Biology, Utrecht University, Utrecht, 3584, The Netherlands.
  • MacDougall A; School of Life Sciences, University of KwaZulu-Natal, Scottsville, 3209, South Africa.
  • McCulley RL; Smithsonian Environmental Research Center, Edgewater, Maryland, 21037, USA.
  • Moore JL; Department of Biology, Doane University, Crete, Nebraska, 68333, USA.
  • Morgan JW; Department of Integrative Biology, University of Guelph, Guelph, Ontario, N1G 2W1, Canada.
  • Mortensen B; Department of Plant & Soil Sciences, University of Kentucky, Lexington, Kentucky, 40546, USA.
  • Ochoa Hueso R; School of Biological Sciences, Monash University, Clayton, Victoria, 3800, Australia.
  • Ohlert T; Department of Ecology, Environment & Evolution, La Trobe University, Bundoora, Victoria, 3086, Australia.
  • Power SA; Department of Biology, Benedictine College, Atchison, Kansas, 66002, USA.
  • Price J; Department of Biology, University of Cádiz, Cádiz, 11001, Spain.
  • Risch AC; Department of Biology, University of New Mexico, Albuquerque, New Mexico, 87131, USA.
  • Schuetz M; Hawkesbury Institute for the Environment, University of Western Sydney, Penrith, New South Wales, 2751, Australia.
  • Shoemaker L; Institute of Land, Water and Society, Charles Sturt University, Albury, New South Wales, 2678, Australia.
  • Stevens C; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, 8903, Switzerland.
  • Strauss AT; Swiss Federal Institute for Forest, Snow and Landscape Research WSL, Birmensdorf, 8903, Switzerland.
  • Tognetti PM; Botany Department, University of Wyoming, Laramie, Wyoming, 82071, USA.
  • Virtanen R; Lancaster Environment Center, Lancaster University, Lancaster, LA1 4YQ, UK.
  • Borer ET; Department of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, 55108, USA.
Ecology ; 102(11): e03504, 2021 11.
Article in En | MEDLINE | ID: mdl-34319599
Spatial rarity is often used to predict extinction risk, but rarity can also occur temporally. Perhaps more relevant in the context of global change is whether a species is core to a community (persistent) or transient (intermittently present), with transient species often susceptible to human activities that reduce niche space. Using 5-12 yr of data on 1,447 plant species from 49 grasslands on five continents, we show that local abundance and species persistence under ambient conditions are both effective predictors of local extinction risk following experimental exclusion of grazers or addition of nutrients; persistence was a more powerful predictor than local abundance. While perturbations increased the risk of exclusion for low persistence and abundance species, transient but abundant species were also highly likely to be excluded from a perturbed plot relative to ambient conditions. Moreover, low persistence and low abundance species that were not excluded from perturbed plots tended to have a modest increase in abundance following perturbance. Last, even core species with high abundances had large decreases in persistence and increased losses in perturbed plots, threatening the long-term stability of these grasslands. Our results demonstrate that expanding the concept of rarity to include temporal dynamics, in addition to local abundance, more effectively predicts extinction risk in response to environmental change than either rarity axis predicts alone.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plants / Extinction, Biological Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Ecology Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Plants / Extinction, Biological Type of study: Etiology_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Ecology Year: 2021 Document type: Article Affiliation country: United States Country of publication: United States