Human appropriation of net primary production as driver of change in landscape-scale vertebrate richness.

biodiversity loss extinction human appropriation land use net primary production species richness species–energy relationship threatened species

Journal

Global ecology and biogeography : a journal of macroecology
ISSN: 1466-822X
Titre abrégé: Glob Ecol Biogeogr
Pays: England
ID NLM: 100895787

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 15 12 2020
revised: 16 02 2023
accepted: 26 02 2023
medline: 20 3 2024
pubmed: 20 3 2024
entrez: 20 3 2024
Statut: ppublish

Résumé

Land use is the most pervasive driver of biodiversity loss. Predicting its impact on species richness (SR) is often based on indicators of habitat loss. However, the degradation of habitats, especially through land-use intensification, also affects species. Here, we evaluate whether an integrative metric of land-use intensity, the human appropriation of net primary production, is correlated with the decline of SR in used landscapes across the globe. Global. Present. Birds, mammals and amphibians. Based on species range maps (spatial resolution: 20 km × 20 km) and an area-of-habitat approach, we calibrated a "species-energy model" by correlating the SR of three groups of vertebrates with net primary production and biogeographical covariables in "wilderness" areas (i.e., those where available energy is assumed to be still at pristine levels). We used this model to project the difference between pristine SR and the SR corresponding to the energy remaining in used landscapes (i.e., SR loss expected owing to human energy extraction outside wilderness areas). We validated the projected species loss by comparison with the realized and impending loss reconstructed from habitat conversion and documented by national Red Lists. Species-energy models largely explained landscape-scale variation of mapped SR in wilderness areas (adjusted Our results suggest that the human appropriation of net primary production is a useful indicator of heterotrophic species loss in used landscapes, hence we recommend its inclusion in models based on species-area relationships to improve predictions of land-use-driven biodiversity loss.

Identifiants

pubmed: 38504954
doi: 10.1111/geb.13671
pii: GEB13671
pmc: PMC10946509
doi:

Banques de données

Dryad
['10.5061/dryad.052q5']

Types de publication

Journal Article

Langues

eng

Pagination

855-866

Informations de copyright

© 2023 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd.

Déclaration de conflit d'intérêts

We have no conflicts of interest to disclose.

Auteurs

Karina Reiter (K)

Department of Botany and Biodiversity Research University of Vienna Vienna Austria.
Advancing Systems Analysis International Institute for Applied Systems Analysis (IIASA) Laxenburg Austria.

Christoph Plutzar (C)

Institute of Social Ecology (SEC) University of Natural Resources and Life Science (BOKU) Vienna Austria.

Dietmar Moser (D)

Department of Botany and Biodiversity Research University of Vienna Vienna Austria.

Philipp Semenchuk (P)

Department of Botany and Biodiversity Research University of Vienna Vienna Austria.

Karl-Heinz Erb (KH)

Institute of Social Ecology (SEC) University of Natural Resources and Life Science (BOKU) Vienna Austria.

Franz Essl (F)

Department of Botany and Biodiversity Research University of Vienna Vienna Austria.

Andreas Gattringer (A)

Department of Botany and Biodiversity Research University of Vienna Vienna Austria.

Helmut Haberl (H)

Institute of Social Ecology (SEC) University of Natural Resources and Life Science (BOKU) Vienna Austria.

Fridolin Krausmann (F)

Institute of Social Ecology (SEC) University of Natural Resources and Life Science (BOKU) Vienna Austria.

Bernd Lenzner (B)

Department of Botany and Biodiversity Research University of Vienna Vienna Austria.

Johannes Wessely (J)

Department of Botany and Biodiversity Research University of Vienna Vienna Austria.

Sarah Matej (S)

Institute of Social Ecology (SEC) University of Natural Resources and Life Science (BOKU) Vienna Austria.

Robin Pouteau (R)

French National Research Institute for Sustainable Development (IRD), AMAP Lab, France & Réunion Marseille France.

Stefan Dullinger (S)

Department of Botany and Biodiversity Research University of Vienna Vienna Austria.

Classifications MeSH