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Increasing importance of precipitation variability on global livestock grazing lands

Author

Listed:
  • Lindsey L. Sloat

    (University of Minnesota)

  • James S. Gerber

    (University of Minnesota)

  • Leah H. Samberg

    (University of Minnesota)

  • William K. Smith

    (University of Minnesota
    University of Arizona)

  • Mario Herrero

    (Commonwealth Scientific and Industrial Research Organization (CSIRO))

  • Laerte G. Ferreira

    (Federal University of Goiás, Campus Samambaia)

  • Cécile M. Godde

    (Commonwealth Scientific and Industrial Research Organization (CSIRO))

  • Paul C. West

    (University of Minnesota)

Abstract

Pastures and rangelands underpin global meat and milk production and are a critical resource for millions of people dependent on livestock for food security1,2. Forage growth, which is highly climate dependent3,4, is potentially vulnerable to climate change, although precisely where and to what extent remains relatively unexplored. In this study, we assess climate-based threats to global pastures, with a specific focus on changes in within- and between-year precipitation variability (precipitation concentration index (PCI) and coefficient of variation of precipitation (CVP), respectively). Relating global satellite measures of vegetation greenness (such as the Normalized Difference Vegetation Index; NDVI) to key climatic factors reveals that CVP is a significant, yet often overlooked, constraint on vegetation productivity across global pastures. Using independent stocking data, we found that areas with high CVP support lower livestock densities than less-variable regions. Globally, pastures experience about a 25% greater year-to-year precipitation variation (CVP = 0.27) than the average global land surface area (0.21). Over the past century, CVP has generally increased across pasture areas, although both positive (49% of pasture area) and negative (31% of pasture area) trends exist. We identify regions in which livestock grazing is important for local food access and economies, and discuss the potential for pasture intensification in the context of long-term regional trends in precipitation variability.

Suggested Citation

  • Lindsey L. Sloat & James S. Gerber & Leah H. Samberg & William K. Smith & Mario Herrero & Laerte G. Ferreira & Cécile M. Godde & Paul C. West, 2018. "Increasing importance of precipitation variability on global livestock grazing lands," Nature Climate Change, Nature, vol. 8(3), pages 214-218, March.
  • Handle: RePEc:nat:natcli:v:8:y:2018:i:3:d:10.1038_s41558-018-0081-5
    DOI: 10.1038/s41558-018-0081-5
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    Citations

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    Cited by:

    1. Fan Yang & Quanqin Shao & Zhigang Jiang, 2019. "A Population Census of Large Herbivores Based on UAV and Its Effects on Grazing Pressure in the Yellow-River-Source National Park, China," IJERPH, MDPI, vol. 16(22), pages 1-20, November.
    2. Elvira Díaz-Pereira & Asunción Romero-Díaz & Joris Vente, 2020. "Sustainable grazing land management to protect ecosystem services," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(8), pages 1461-1479, December.
    3. Tiago G. Morais & Ricardo F. M. Teixeira & Nuno R. Rodrigues & Tiago Domingos, 2018. "Characterizing Livestock Production in Portuguese Sown Rainfed Grasslands: Applying the Inverse Approach to a Process-Based Model," Sustainability, MDPI, vol. 10(12), pages 1-21, November.
    4. Édson Luis Bolfe & Daniel de Castro Victoria & Edson Eyji Sano & Gustavo Bayma & Silvia Maria Fonseca Silveira Massruhá & Aryeverton Fortes de Oliveira, 2024. "Potential for Agricultural Expansion in Degraded Pasture Lands in Brazil Based on Geospatial Databases," Land, MDPI, vol. 13(2), pages 1-17, February.
    5. Maristela M. Martins & Humberto F. S. Spolador & Eric Njuki, 2022. "Production environment and managerial techniques in explaining productivity growth in Brazilian beef cattle production," Agribusiness, John Wiley & Sons, Ltd., vol. 38(2), pages 371-385, April.
    6. Virginia Anne Kowal & Julian Ahlborn & Chantsallkham Jamsranjav & Otgonsuren Avirmed & Rebecca Chaplin-Kramer, 2021. "Modeling Integrated Impacts of Climate Change and Grazing on Mongolia’s Rangelands," Land, MDPI, vol. 10(4), pages 1-28, April.
    7. Fust, Pascal & Schlecht, Eva, 2022. "Importance of timing: Vulnerability of semi-arid rangeland systems to increased variability in temporal distribution of rainfall events as predicted by future climate change," Ecological Modelling, Elsevier, vol. 468(C).
    8. Junting Guo & Quansheng Li & Huizhen Xie & Jun Li & Linwei Qiao & Chengye Zhang & Guozhu Yang & Fei Wang, 2022. "Monitoring of Vegetation Disturbance and Restoration at the Dumping Sites of the Baorixile Open-Pit Mine Based on the LandTrendr Algorithm," IJERPH, MDPI, vol. 19(15), pages 1-15, July.

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