Global trends in grassland carrying capacity and relative stocking density of livestock.

MODIS aboveground biomass feed grasslands interannual variability net primary production overgrazing rangelands

Journal

Global change biology
ISSN: 1365-2486
Titre abrégé: Glob Chang Biol
Pays: England
ID NLM: 9888746

Informations de publication

Date de publication:
06 2022
Historique:
revised: 28 02 2022
received: 05 10 2021
accepted: 07 03 2022
pubmed: 24 3 2022
medline: 18 5 2022
entrez: 23 3 2022
Statut: ppublish

Résumé

Although the role of livestock in future food systems is debated, animal proteins are unlikely to completely disappear from our diet. Grasslands are a key source of primary productivity for livestock, and feed-food competition is often limited on such land. Previous research on the potential for sustainable grazing has focused on restricted geographical areas or does not consider inter-annual changes in grazing opportunities. Here, we developed a robust method to estimate trends and interannual variability (IV) in global livestock carrying capacity (number of grazing animals a piece of land can support) over 2001-2015, as well as relative stocking density (the reported livestock distribution relative to the estimated carrying capacity [CC]) in 2010. We first estimated the aboveground biomass that is available for grazers on global grasslands based on the MODIS Net Primary Production product. This was then used to calculate livestock carrying capacities using slopes, forest cover, and animal forage requirements as restrictions. We found that globally, CC decreased on 27% of total grasslands area, mostly in Europe and southeastern Brazil, while it increased on 15% of grasslands, particularly in Sudano-Sahel and some parts of South America. In 2010, livestock forage requirements exceeded forage availability in northwestern Europe, and southern and eastern Asia. Although our findings imply some opportunities to increase grazing pressures in cold regions, Central Africa, and Australia, the high IV or low biomass supply might prevent considerable increases in stocking densities. The approach and derived open access data sets can feed into global food system modelling, support conservation efforts to reduce land degradation associated with overgrazing, and help identify undergrazed areas for targeted sustainable intensification efforts or rewilding purposes.

Identifiants

pubmed: 35320616
doi: 10.1111/gcb.16174
pmc: PMC9321565
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3902-3919

Informations de copyright

© 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.

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Auteurs

Johannes Piipponen (J)

Water and Development Research Group, Aalto University, Espoo, Finland.

Mika Jalava (M)

Water and Development Research Group, Aalto University, Espoo, Finland.

Jan de Leeuw (J)

Department of Bioecology, Baku State University, Baku, Azerbaijan.

Afag Rizayeva (A)

Department of Bioecology, Baku State University, Baku, Azerbaijan.
SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, Madison, Wisconsin, USA.

Cecile Godde (C)

Commonwealth Scientific and Industrial Research Organisation, Agriculture and Food, St Lucia, QLD, Australia.

Gabriel Cramer (G)

Water and Development Research Group, Aalto University, Espoo, Finland.

Mario Herrero (M)

Department of Global Development, College of Agriculture and Life Sciences and Cornell Atkinson Center for Sustainability, Cornell University, Ithaca, New York, USA.

Matti Kummu (M)

Water and Development Research Group, Aalto University, Espoo, Finland.

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Classifications MeSH