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ZENODO
Dataset . 2019
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2019
License: CC 0
Data sources: Datacite
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Data from: Synthesizing the effects of large, wild herbivore exclusion on ecosystem function

Authors: Forbes, Elizabeth S.; Cushman, J. Hall; Burkepile, Deron E.; Young, Truman P.; Klope, Maggie; Young, Hillary S.;

Data from: Synthesizing the effects of large, wild herbivore exclusion on ecosystem function

Abstract

1. Wild large herbivores are declining worldwide. Despite extensive use of exclosure experiments to investigate herbivore impacts, there is little consensus on the effects of wild large herbivores on ecosystem function. 2. Of the ecosystem functions likely impacted, we reviewed the five most-studied in exclosure experiments: ecosystem resilience/resistance to disturbance, nutrient cycling, carbon cycling, plant regeneration, and primary productivity. 3. Experimental data on large wild herbivores’ effects on ecosystem functions were predominately derived from temperate grasslands (50% grasslands, 75% temperate zones), and experiments that may not be of adequate size (median size 400m2 despite excluding all experiments below 25m2) or duration (median duration 6 years) to capture ecosystem-scale responses to these low-density and wide-ranging taxa. 4. Wild herbivore removal frequently impacted ecosystem functions; for example, net carbon uptake increased by three times in some instances. However, the magnitude and direction of effects, even within a single function, were highly variable. 5. A focus on carbon cycling highlighted challenges in interpreting effects on a single function. While the effect of large herbivore exclusion on carbon cycling was slightly positive when its components (e.g. pools vs. fluxes of carbon) were aggregated, effects on individual components were variable and sometimes opposed. 6. Given modern declines in large wild herbivores, it is critical to understand their effects on ecosystem function. However, this synthesis highlights strong variability in direction, magnitude, and modifiers of these effects. Some variation is likely due to disparity in what components are used to describe a given function. For example, for the carbon cycle we identified eight distinctly meaningful components, which are not easily combined yet are potentially misrepresentative of the larger cycle when considered alone. However, much of the observed difference in responses likely reflects real ecological variability across complex systems. 7. To move towards a general predictive framework we must identify where variation in effect is due to methodological differences and where due to ecosystem context. Two critical steps forward are 1) additional quantitative synthetic analyses of large herbivores’ effects on individual functions, and 2) improved, increased systematic exclosure research focusing on effects of large herbivores’ exclusion on functions.

Forbes_lgherbs_allfxn_review_finalThese data describe the functional responses of experimental large herbivore exclusion, collected from a Web Of Science search. The dataset includes functional responses on their own lines (e.g. multiple functional responses could be recorded at one site, within one publication), and includes information on: publication, exclosure experiment, and which ecosystem function was examined.Forbes_lgherbs_carbondat_review_finalThis dataset consists of carbon cycle responses to experimental large herbivore exclosure. Each line consists of a single component of the carbon cycle's response to exclosure (e.g. one study may examine multiple components of the carbon cycle), and includes data on that component before/after large herbivore exclosure, information on the experimental site, which component was being measured and how, and any metadata relevant to the response (e.g. large herbivore density) if reported.

Keywords

carbon cycle, large herbivore loss, ecosystem resilience and resistance, plant regeneration, Carbon cycle, exclosure experiment

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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