Choosing fit-for-purpose biodiverstiy impact indicators in agriculture

This dataset is part of the project GRADED - Exploring Germany’s and China’s roles as importing and consuming countries: https://dataportal.senckenberg.de/dataset/1601aabd-bd13-43e8-9c5e-ee6869bfcb00

Understanding and acting on biodiversity loss requires robust assessment tools that link biodiversity impacts to land use (LU) change. Here we estimate agriculture’s impact on biodiversity using three approaches —countryside-Species Area Relationship (cSAR), Species Threat Abatement and Restoration (STAR) and Species Habitat Index (SHI)— for the Brazilian Cerrado, to assess how indicator choice affects impact assessments and resulting decision-support. All indicators show biodiversity has become increasingly under pressure due to agriculture expansion. Results suggest that metrics are complementary, providing distinctly different insight into biodiversity change drivers and impacts. Meaningful applications of biodiversity indicators therefore require compatibility between focal questions and indicator choice, in terms of the temporal, spatial and ecological perspectives on impact and drivers being offered. ‘Backward-looking’ analyses focused on historical LU transformation and accountability are best served by cSAR and SHI. ‘Forward-looking’ analyses of impact risk hotspots and mitigation of global extinctions are best served by STAR

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Dataset DOI: doi:10.1038/s41467-025-57037-9

Daten und Ressourcen

Dieser Datensatz hat keine Daten

Zusätzliche Informationen

Feld Wert
Geographic coverage
Geographic description Brazilian Cerrado ecoregion
Bounding coordinates
North: -2.332088
West: -60.4726
East: -41.27754
South: -24.68178
Taxonomic coverage
Class Mammalia
Class Amphibia
Species Reptilia
Species Aves
General taxonomic description All mammal, bird, reptile and amphibian species within the Cerrado ecoregion in IUCN dataset.
Andere Informationen
Zuletzt aktualisiert Dezember 4, 2025, 12:34 (UTC)
Erstellt April 11, 2024, 12:22 (UTC)

Responsible parties

Creator and point of contact
Name Gabriela Rabeschini
Organization affiliations
Senckenberg Biodiversity and Climate Research Centre (BIK-F)

Associated party
Name Thomas Kastner
Rolle Principal investigator

Research data management planning

Types of data that will be / are / were created during the project Numeric (spreadsheet, measurements, etc.)
Estimated volume of created data <1GB
Data will be stored at (long-term archived) All data on species are stored in IUCN's platform. All data on land cover and land use are stored in Mapbiomas platform. Codes and spreadsheets with analyses' results are stored in Zenodo.

Link zu diesem Datensatz

https://doi.org/10.1038/s41467-025-57037-9