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Designing grazing susceptibility to land degradation index (GSLDI) in hilly areas
Evaluation of grazing impacts on land degradation processes is a difficult task due to the heterogeneity and complex interacting factors involved. In this paper, we designed a new methodology based on a predictive index of grazing susceptibility to land degradation index (GSLDI) built on artificial...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9213453/ https://www.ncbi.nlm.nih.gov/pubmed/35729181 http://dx.doi.org/10.1038/s41598-022-13596-1 |