Temporal rarity is a better predictor of local extinction risk than spatial rarity

Peter A. Wilfahrt, Ashley Asmus, Eric W. Seabloom, Jeremiah A Henning, Peter Adler, Carlos A. Arnillas, Jonathan D. Bakker, Lori Biederman, Lars A. Brudvig, Marc Cadotte, Pedro Daleo, Anu Eskelinen, Jennifer Firn, W. Stanley Harpole, Yann Hautier, Kevin P. Kirkman, Kimberly J. Komatsu, Ramesh Laungani, Andrew MacDougall, Rebecca L. McCulleyJoslin L. Moore, John W. Morgan, Brent Mortensen, Raul Ochoa Hueso, Timothy Ohlert, Sally A. Power, Jodi Price, Anita C. Risch, Martin Schuetz, Lauren Shoemaker, Carly Stevens, Alexander Strauss, Pedro M. Tognetti, Risto Virtanen, Elizabeth T. Borer

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish (US)
JournalEcology
DOIs
StateAccepted/In press - 2021

Bibliographical note

Funding Information:
This work was generated using data from the Nutrient Network ( http://www.nutnet.org ) experiment, funded at the site‐scale by individual researchers. Coordination and data management have been supported by funding to E. Borer and E. Seabloom from the National Science Foundation Research Coordination Network (NSF‐DEB‐1042132) and Long Term Ecological Research (NSF‐DEB‐1234162 and NSF‐DEB‐1831944 to Cedar Creek LTER) programs, and the Institute on the Environment (DG‐0001‐13). A. Eskelinen was supported by the Academy of Finland (297191). We also thank the Minnesota Supercomputer Institute for hosting project data and the Institute on the Environment for hosting Network meetings. P. Wilfahrt and A. Asmus analyzed the data and wrote the paper; E. Seabloom, E. Borer, A. T. Strauss, and J. Henning helped frame the questions; J. Henning, A. T. Strauss, and J. D. Bakker contributed to analyses; all others contributed data and to writing. Full author contributions are listed in Appendix S1 : Table S12.

Publisher Copyright:
© 2021 by the Ecological Society of America

Keywords

  • core-transient
  • extinction risk
  • grasslands
  • herbivores
  • NutNet
  • nutrients
  • rarity

PubMed: MeSH publication types

  • Journal Article

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