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

Authors :
Wilfahrt PA
Asmus AL
Seabloom EW
Henning JA
Adler P
Arnillas CA
Bakker JD
Biederman L
Brudvig LA
Cadotte M
Daleo P
Eskelinen A
Firn J
Harpole WS
Hautier Y
Kirkman KP
Komatsu KJ
Laungani R
MacDougall A
McCulley RL
Moore JL
Morgan JW
Mortensen B
Ochoa Hueso R
Ohlert T
Power SA
Price J
Risch AC
Schuetz M
Shoemaker L
Stevens C
Strauss AT
Tognetti PM
Virtanen R
Borer ET
Source :
Ecology [Ecology] 2021 Nov; Vol. 102 (11), pp. e03504. Date of Electronic Publication: 2021 Aug 25.
Publication Year :
2021

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.<br /> (© 2021 by the Ecological Society of America.)

Details

Language :
English
ISSN :
1939-9170
Volume :
102
Issue :
11
Database :
MEDLINE
Journal :
Ecology
Publication Type :
Academic Journal
Accession number :
34319599
Full Text :
https://doi.org/10.1002/ecy.3504