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    Beyond bioproductivity: Engaging local perspectives in land degradation monitoring and assessment

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    YJARE_104002_page_proofs.pdf
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    Final Accepted Manuscript
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    Author
    Herrmann, Stefanie
    Diouf, Abdoul Aziz
    Sall, Ibrahima
    Affiliation
    Univ Arizona
    Issue Date
    2020-02
    Keywords
    Earth-Surface Processes
    Ecology
    Ecology, Evolution, Behavior and Systematics
    
    Metadata
    Show full item record
    Publisher
    ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
    Citation
    Herrmann, S., Diouf, A. A., & Sall, I. (2020). Beyond bioproductivity: Engaging local perspectives in land degradation monitoring and assessment. Journal of Arid Environments, 173, 104002.
    Journal
    JOURNAL OF ARID ENVIRONMENTS
    Rights
    © 2019 Elsevier Ltd. All rights reserved.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Land degradation monitoring and assessment in the Sahel zone has relied substantially on temporal trends of remote sensing-based vegetation indices, which are proxies for the bioproductivity of the land. However, prior studies have shown that negative or positive trends in bioproductivity are not necessarily associated with degradation or improvement of land condition. In this short communication, while acknowledging the contributions of remote sensing-based indices and global-scale datasets to dismantling an outdated desertification narrative, we argue that local land users have much to contribute to our understanding of land degradation, and particularly to ensuring that scientific assessments of degradation capture variables relevant to them. We used the participatory photo elicitation method in three sites in the Senegalese Ferlo in order to elicit local pastoralists' perspectives on land degradation and identify the indicators that they use to characterize pasture quality, while empowering them to lead the discussion. The discussion revealed indicators far beyond bioproductivity, including livestock performance as well as composition and quality of the herbaceous and woody vegetative cover, invasive species, soil quality and water availability. We found that the pastoralists' knowledge and interest in the issue could potentially be harnessed more systematically, and at larger scales, in order to build a spatially explicit field-based knowledge base of land degradation complementary to remote sensing-based maps of trends in bioproductivity. Such a dataset could serve as a standalone product or as a reference dataset for development and validation of remote sensing-based indicators.
    Note
    24 month embargo; published online: 20 July 2019
    ISSN
    0140-1963
    DOI
    10.1016/j.jaridenv.2019.104002
    Version
    Final accepted manuscript
    Sponsors
    Office of Research and Development at the University of Arizona
    ae974a485f413a2113503eed53cd6c53
    10.1016/j.jaridenv.2019.104002
    Scopus Count
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    UA Faculty Publications

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