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dc.contributor.authorDameneh, Hadi Eskandari
dc.contributor.authorRodrigo Comino, Jesús 
dc.date.accessioned2021-11-03T09:12:09Z
dc.date.available2021-11-03T09:12:09Z
dc.date.issued2021-10-15
dc.identifier.citationEskandari Dameneh, H... [et al.]. Desertification of Iran in the early twenty-first century: assessment using climate and vegetation indices. Sci Rep 11, 20548 (2021). [https://doi.org/10.1038/s41598-021-99636-8]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/71249
dc.descriptionThe authors would like to thank the Faculty of Agriculture and Natural Resources, University of Hormozgan, Iran, for supporting this joint research Project. The contribution to this work by ALC was funded by UKRI-BBSRC (UK Research and Innovation-Biotechnology and Biological Sciences Research Council) Grant BBS/E/C/000I0330 - Soil to Nutrition Project 3.es_ES
dc.description.abstractRemote sensing of specific climatic and biogeographical parameters is an effective means of evaluating the large-scale desertification status of drylands affected by negative human impacts. Here, we identify and analyze desertification trends in Iran for the period 2001–2015 via a combination of three indices for vegetation (NPP—net primary production, NDVI—normalized difference vegetation index, LAI—leaf area index) and two climate indices (LST—land surface temperature, P— precipitation). We combine these indices to identify and map areas of Iran that are susceptible to land degradation. We then apply a simple linear regression method, the Mann–Kendall non-parametric test, and the Theil–Sen estimator to identify long-term temporal and spatial trends within the data. Based on desertification map, we find that 68% of Iran shows a high to very high susceptibility to desertification, representing an area of 1.1 million km2 (excluding 0.42 million km2 classified as unvegetated). Our results highlight the importance of scale in assessments of desertification, and the value of high-resolution data, in particular. Annually, no significant change is evident within any of the five indices, but significant changes (some positive, some negative) become apparent on a seasonal basis. Some observations follow expectations; for instance, NDVI is strongly associated with cooler, wet spring and summer seasons, and milder winters. Others require more explanation; for instance, vegetation appears decoupled from climatic forcing during autumn. Spatially, too, there is much local and regional variation, which is lost when the data are considered only at the largest nationwide scale. We identify a northwest–southeast belt spanning central Iran, which has experienced significant vegetation decline (2001–2015). We tentatively link this belt of land degradation with intensified agriculture in the hinterlands of Iran’s major cities. The spatial and temporal trends identified with the three vegetation and two climate indices afford a cost-effective framework for the prediction and management of future environmental trends in developing regions at risk of desertification.es_ES
dc.description.sponsorshipFaculty of Agriculture and Natural Resources, University of Hormozgan, Iranes_ES
dc.description.sponsorshipUK Research & Innovation (UKRI) Biotechnology and Biological Sciences Research Council (BBSRC) BBS/E/C/000I0330es_ES
dc.language.isoenges_ES
dc.publisherNaturees_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.titleDesertification of Iran in the early twenty‑first century: assessment using climate and vegetation indiceses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1038/s41598-021-99636-8
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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