Unlocking the potential of soil potassium: Geostatistical approaches for understanding spatial variations in Northwestern Himalayas-Reference-Cited by-同舟云学术

Unlocking the potential of soil potassium: Geostatistical approaches for understanding spatial variations in Northwestern Himalayas

Published:2024-07 Issue: Volume:81 Page:102592
ISSN:1574-9541
Container-title:Ecological Informatics
language:en
Short-container-title:Ecological Informatics

Author:

Bashir Owais,Bangroo Shabir Ahmad,Shafai Shahid Shuja,Senesi Nicola,Naikoo Nasir Bashir,Kader Shuraik,Jaufer Lizny

Publisher

Elsevier BV

Reference57 articles.

1. N and P behaviour in alluvial aquifers and in the soil solution of their catchment areas: how land use and the physical environment contribute to diffuse pollution;Arauzo;Sci. Total Environ.,2022

2. Machine learning models for gully erosion susceptibility assessment in the Tensift catchment, Haouz plain, Morocco for sustainable development;Bammou;J. Afr. Earth Sci.,2024

3. Optimizing flood susceptibility assessment in semi-arid regions using ensemble algorithms: a case study of Moroccan high atlas;Bammou;Nat. Hazards,2024

4. Simulating spatiotemporal changes in land use and land cover of the North-Western Himalayan region using Markov chain analysis;Bashir;Land,2022

5. Geostatistical modeling approach for studying total soil nitrogen and phosphorus under various land uses of North-Western Himalayas;Bashir;Eco. Inform.,2024

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