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dc.contributor.authorHerrmann, Stefanie
dc.contributor.authorDiouf, Abdoul Aziz
dc.contributor.authorSall, Ibrahima
dc.date.accessioned2019-12-17T18:07:20Z
dc.date.available2019-12-17T18:07:20Z
dc.date.issued2020-02
dc.identifier.citationHerrmann, S., Diouf, A. A., & Sall, I. (2020). Beyond bioproductivity: Engaging local perspectives in land degradation monitoring and assessment. Journal of Arid Environments, 173, 104002.en_US
dc.identifier.issn0140-1963
dc.identifier.doi10.1016/j.jaridenv.2019.104002
dc.identifier.urihttp://hdl.handle.net/10150/636391
dc.description.abstractLand 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while acknowledging the contributions of remote sensing-based indices and global-scale datasets to dismantling an outdated desertification narrative, we argue that local land users have much to contribute to our understanding of land degradation, and particularly to ensuring that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.en_US
dc.description.sponsorshipOffice of Research and Development at the University of Arizonaen_US
dc.language.isoenen_US
dc.publisherACADEMIC PRESS LTD- ELSEVIER SCIENCE LTDen_US
dc.rights© 2019 Elsevier Ltd. All rights reserved.en_US
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectEarth-Surface Processesen_US
dc.subjectEcologyen_US
dc.subjectEcology, Evolution, Behavior and Systematicsen_US
dc.titleBeyond bioproductivity: Engaging local perspectives in land degradation monitoring and assessmenten_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizonaen_US
dc.identifier.journalJOURNAL OF ARID ENVIRONMENTSen_US
dc.description.note24 month embargo; published online: 20 July 2019en_US
dc.description.collectioninformationThis 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.en_US
dc.eprint.versionFinal accepted manuscripten_US
dc.source.volume173
dc.source.beginpage104002


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