Measuring impacts on species with models and metrics of varying ecological and computational complexity.

Autor: Hallam CD; School of Bioscience, University of Melbourne, Building 122, Melbourne, VIC, 3010, Australia., Wintle BA; School of Bioscience, University of Melbourne, Building 122, Melbourne, VIC, 3010, Australia., Kujala H; School of Bioscience, University of Melbourne, Building 122, Melbourne, VIC, 3010, Australia., Whitehead AL; National Institute of Water and Atmospheric Research, 10 Kyle Street, Riccarton, Christchurch, 8011, New Zealand., Nicholson E; School of Life and Environmental Sciences, Centre for Integrative Ecology (Burwood Campus), Deakin University, 221 Burwood Highway, Burwood, VIC, 3125, Australia.
Jazyk: angličtina
Zdroj: Conservation biology : the journal of the Society for Conservation Biology [Conserv Biol] 2020 Dec; Vol. 34 (6), pp. 1512-1524. Date of Electronic Publication: 2020 Jul 03.
DOI: 10.1111/cobi.13524
Abstrakt: Approaches to assess the impacts of landscape disturbance scenarios on species range from metrics based on patterns of occurrence or habitat to comprehensive models that explicitly include ecological processes. The choice of metrics and models affects how impacts are interpreted and conservation decisions. We explored the impacts of 3 realistic disturbance scenarios on 4 species with different ecological and taxonomic traits. We used progressively more complex models and metrics to evaluate relative impact and rank of scenarios on the species. Models ranged from species distribution models that relied on implicit assumptions about environmental factors and species presence to highly parameterized spatially explicit population models that explicitly included ecological processes and stochasticity. Metrics performed consistently in ranking different scenarios in order of severity primarily when variation in impact was driven by habitat amount. However, they differed in rank for cases where dispersal dynamics were critical in influencing metapopulation persistence. Impacts of scenarios on species with low dispersal ability were better characterized using models that explicitly captured these processes. Metapopulation capacity provided rank orders that most consistently correlated with those from highly parameterized and data-rich models and incorporated information about dispersal with little additional computational and data cost. Our results highlight the importance of explicitly considering species' ecology, spatial configuration of habitat, and disturbance when choosing indicators of species persistence. We suggest using hybrid approaches that are a mixture of simple and complex models to improve multispecies assessments.
(© 2020 Society for Conservation Biology.)
Databáze: MEDLINE
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