Understanding spontaneous biodiversity in informal urban green spaces: A local-landscape filtering framework with a test on wall plants

Urban forestry & urban greening, Journal Year: 2023, Volume and Issue: 86, P. 127996 - 127996

Published: June 8, 2023

Language: Английский

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Incorporating effects of habitat patches into species distribution models

Journal of Ecology, Journal Year: 2024, Volume and Issue: 112(10), P. 2162 - 2182

Published: Aug. 30, 2024

Abstract Species distribution models (SDMs) are algorithms designed to infer the of species using environmental and biotic variables have become an important tool for ecologists conservation biologists seeking understand implications change. Global datasets at resolutions a few metres increasingly available. SDMs fitted such high‐resolution data allow researchers investigate how local factors affect occurrences unprecedented fine spatial scales. As resolution increases, we see critical need consider characteristics habitat types within or around raster pixels. In particular, argue that effects patches (EHPs, including area, configuration, diversity), measured focusing on landscapes, yet be fully realized in SDMs. We provide guidelines incorporate EHPs explain why this development is important, describe approaches properly conduct analyses, discuss pitfalls foresee testing EHPs. Synthesis . Ensuring incorporating will key increasing model predictive performance understanding which influence At crucial time nature conservation, step forward protecting biodiversity.

Language: Английский

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Parameterizing mechanistic niche models in biophysical ecology: a review of empirical approaches

Journal of Experimental Biology, Journal Year: 2023, Volume and Issue: 226(22)

Published: Nov. 13, 2023

ABSTRACT Mechanistic niche models are computational tools developed using biophysical principles to address grand challenges in ecology and evolution, such as the mechanisms that shape fundamental adaptive significance of traits. Here, we review empirical basis mechanistic ecology, which used answer a broad array questions evolution global change biology. We describe experiments observations frequently parameterize these how data then incorporated into predict performance, growth, survival reproduction. focus on physiological, behavioral morphological traits measured integrated models. also approaches incorporate evolutionary processes, phenotypic plasticity biotic interactions. discuss importance validation verifying underlying assumptions complex processes. Despite reliance theory, have will continue play an essential role their development implementation.

Language: Английский

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Effects of Surrounding Landscape Context on Threatened Wetland Bird Diversity at the Global Scale

Diversity, Journal Year: 2024, Volume and Issue: 16(12), P. 738 - 738

Published: Nov. 29, 2024

Wetland birds are undergoing severe population declines globally, primarily attributed to extensive wetland loss and degradation. The attributes of the landscape surrounding a focal locality, referred as ‘landscape context’, have been shown influence diversity living in given area. At global scale, however, context effects on not assessed. Here, we assessed effect richness threatened bird species recorded 334 inland Ramsar sites across globe. Generalized linear mixed models were used quantify relationship between these sites. Variation partitioning was independent explanatory power for comparison migratory non-migratory species. overall global-scale pattern avifauna reached ca. 17% 3%, respectively, with scale peak being 5 times area site. significantly higher (ca. 30%) than ones 3%). Among metrics, habitat fragmentation most strongly associated migrant at Our results suggest that even macroecological scales, contributes shaping species, especially migrants. These findings provide useful insight managing landscapes sites, order improve conservation effectiveness worldwide.

Language: Английский

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Perils of Using Range Maps in Macroecological Models of Species Richness

Journal of Biogeography, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

ABSTRACT Aim As range maps do not imply the continuous presence of species across their extents—and are commonly developed with conservation in mind—their underlying assumptions unsurprisingly lead to richness overpredictions for a given area. Despite this expectation, extracted from overlapping continues be used macroecological models (MEMs) richness. In paper, we demonstrate various implications using map MEMs. Location Puerto Rico. Taxon Anolis lizards. Methods We random forests build two MEMs Rico richness: (a) superimposed and (b) biodiversity surveys conducted by non‐profit, Para la Naturaleza. then compare predictions, variable importance evaluation metrics between models. Results Main Conclusions how (1) results overprediction, (2) taken built may unreliable or indicative at coarser spatial scale (3) correlation evaluating potentially misleading. Through work, shed light on

Language: Английский

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