A new conceptual framework for spatial predictive modelling of land degradation in a semiarid area-Reference-Cited by-同舟云学术

A new conceptual framework for spatial predictive modelling of land degradation in a semiarid area

Published:2022-08-08 Issue:17 Volume:33 Page:3358-3374
ISSN:1085-3278
Container-title:Land Degradation & Development
language:en
Short-container-title:Land Degrad Dev

Author:

Abolhasani Azam¹,Zehtabian Gholamreza¹,Khosravi Hassan¹^ORCID,Rahmati Omid²,Alamdarloo Esmail Heydari¹,D'Odorico Paolo³^ORCID

Affiliation:

1. Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources University of Tehran Karaj Iran

2. Soil Conservation and Watershed Management Research Department, Kurdistan Agricultural and Natural Resources Research and Education Center Agricultural Research, Education and Extension Organization (AREEO) Sanandaj Iran

3. ESPM Department University of California Berkeley California USA

Publisher

Wiley

Subject

Soil Science,General Environmental Science,Development,Environmental Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ldr.4391

Reference91 articles.

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4. Drought-tolerant cyanobacteria and mosses as biotechnological tools to attain land degradation neutrality

5. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS)

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