Nonnative Species Richness and Dominance Reveal Differing Support for Invasion Theory at a Continental Extent DOI Creative Commons
Lily M. Thompson, William K. Annis, Stephen R. Midway

и другие.

Global Ecology and Biogeography, Год журнала: 2025, Номер 34(5)

Опубликована: Апрель 30, 2025

ABSTRACT Aim Empirical tests of conceptual hypotheses describing species invasions often differ depending on the spatial scale (spatial resolution and extent study area) at which they were conducted. Some this disparity may arise from tradeoffs in data quality necessitating use different indices community invadedness among scales. Local‐scale studies typically fine‐resolution, descriptive measures (‘dominance’, proportion nonnative individuals) limited extents, while macroscale aggregate datasets to cover large extents but coarser less (nonnative richness). We investigated consequences using represent scales, explored implications for hypothesis testing when richness dominance are not related. Location 23,793 stream segments within 17 regional watersheds, conterminous United States. Time Period 2000–2023. Major Taxa Studied Freshwater fishes. Methods Using a large‐extent, fine‐resolution dataset, we evaluated correlation between communities, compared empirical support prominent invasion (biotic resistance, disturbance facilitation) identical Bayesian hierarchical models with represented by each metric. Results Nonnative weakly correlated, allowing us classify communities into four archetypes based relationships two indices. both differed overall watersheds. Main Conclusions describe facets process under‐ or over‐represent considered alone. estimating metrics be an important source scale‐dependent inference ecology. When assembling studies, retaining fine as much possible will allow researchers opportunities more potentially complementary invadedness.

Язык: Английский

Nonnative Species Richness and Dominance Reveal Differing Support for Invasion Theory at a Continental Extent DOI Creative Commons
Lily M. Thompson, William K. Annis, Stephen R. Midway

и другие.

Global Ecology and Biogeography, Год журнала: 2025, Номер 34(5)

Опубликована: Апрель 30, 2025

ABSTRACT Aim Empirical tests of conceptual hypotheses describing species invasions often differ depending on the spatial scale (spatial resolution and extent study area) at which they were conducted. Some this disparity may arise from tradeoffs in data quality necessitating use different indices community invadedness among scales. Local‐scale studies typically fine‐resolution, descriptive measures (‘dominance’, proportion nonnative individuals) limited extents, while macroscale aggregate datasets to cover large extents but coarser less (nonnative richness). We investigated consequences using represent scales, explored implications for hypothesis testing when richness dominance are not related. Location 23,793 stream segments within 17 regional watersheds, conterminous United States. Time Period 2000–2023. Major Taxa Studied Freshwater fishes. Methods Using a large‐extent, fine‐resolution dataset, we evaluated correlation between communities, compared empirical support prominent invasion (biotic resistance, disturbance facilitation) identical Bayesian hierarchical models with represented by each metric. Results Nonnative weakly correlated, allowing us classify communities into four archetypes based relationships two indices. both differed overall watersheds. Main Conclusions describe facets process under‐ or over‐represent considered alone. estimating metrics be an important source scale‐dependent inference ecology. When assembling studies, retaining fine as much possible will allow researchers opportunities more potentially complementary invadedness.

Язык: Английский

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