Testing the hierarchy of predictability in grassland restoration across a gradient of environmental severity DOI Creative Commons
Diana Bertuol‐Garcia, Emma Ladouceur, Lars A. Brudvig

et al.

Ecological Applications, Journal Year: 2023, Volume and Issue: 33(8)

Published: Sept. 30, 2023

Ecological restoration is critical for recovering degraded ecosystems but challenged by variable success and low predictability. Understanding which outcomes are more predictable less following can improve effectiveness. Recent theory asserts that the predictability of would follow an order from most to least coarse fine community properties (physical structure > taxonomic diversity functional composition composition) increase with severe environmental conditions constraining species establishment. We tested this "hierarchy predictability" hypothesis synthesizing along aridity gradient 11 grassland projects across United States. used 1829 vegetation monitoring plots 227 treatments, spread 52 sites. fit generalized linear mixed-effects models predict six indicators as a function characteristics (i.e., seed mixes, disturbance, management actions, time since restoration) variance explained model residuals proxies did not find consistent support our hypotheses. Physical was among when response relative abundance grasses, unpredictable total canopy cover. Similarly, one dimension related identities unpredictable, another indicating whether exotic or native dominated highly predictable. Taxonomic richness) mean trait values) were intermittently Predictability also consistently aridity. The identity in restored communities smaller residuals) arid sites, larger residuals), other showed no significant trend. Restoration they variation dominant species, while those responding rare harder predict, potential role scale Overall, results highlight additional factors might influence add importance continuous active beyond one-time addition successful

Language: Английский

Testing the hierarchy of predictability in grassland restoration across a gradient of environmental severity DOI Creative Commons
Diana Bertuol‐Garcia, Emma Ladouceur, Lars A. Brudvig

et al.

Ecological Applications, Journal Year: 2023, Volume and Issue: 33(8)

Published: Sept. 30, 2023

Ecological restoration is critical for recovering degraded ecosystems but challenged by variable success and low predictability. Understanding which outcomes are more predictable less following can improve effectiveness. Recent theory asserts that the predictability of would follow an order from most to least coarse fine community properties (physical structure > taxonomic diversity functional composition composition) increase with severe environmental conditions constraining species establishment. We tested this "hierarchy predictability" hypothesis synthesizing along aridity gradient 11 grassland projects across United States. used 1829 vegetation monitoring plots 227 treatments, spread 52 sites. fit generalized linear mixed-effects models predict six indicators as a function characteristics (i.e., seed mixes, disturbance, management actions, time since restoration) variance explained model residuals proxies did not find consistent support our hypotheses. Physical was among when response relative abundance grasses, unpredictable total canopy cover. Similarly, one dimension related identities unpredictable, another indicating whether exotic or native dominated highly predictable. Taxonomic richness) mean trait values) were intermittently Predictability also consistently aridity. The identity in restored communities smaller residuals) arid sites, larger residuals), other showed no significant trend. Restoration they variation dominant species, while those responding rare harder predict, potential role scale Overall, results highlight additional factors might influence add importance continuous active beyond one-time addition successful

Language: Английский

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