Integrated Assessment of Pasture Ecosystem Degradation Processes in Arid Zones: A Case Study of Atyrau Region, Kazakhstan
Kazhmurat Akhmedenov,
Nurlan Sergaliev,
Murat Makhambetov,
Aigul Sergeyeva,
Kuat Saparov (),
Roza Izimova (),
Akhan Turgumbaev and
Dinmuhamed Iskaliev
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Kazhmurat Akhmedenov: Faculty of Natural Geography, Makhambet Utemisov West Kazakhstan University, Uralsk 090000, Kazakhstan
Nurlan Sergaliev: Faculty of Natural Geography, Makhambet Utemisov West Kazakhstan University, Uralsk 090000, Kazakhstan
Murat Makhambetov: Faculty of Geography and Environmental Sciences, Al Farabi Kazakh National University, Almaty 050040, Kazakhstan
Aigul Sergeyeva: Department of Physical and Economical Geography, L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan
Kuat Saparov: Department of Physical and Economical Geography, L.N. Gumilyov Eurasian National University, Astana 010000, Kazakhstan
Roza Izimova: Department of Biology, K. Zhubanov Aktobe Regional University, Aktobe 030000, Kazakhstan
Akhan Turgumbaev: Faculty of Natural Geography, Makhambet Utemisov West Kazakhstan University, Uralsk 090000, Kazakhstan
Dinmuhamed Iskaliev: Faculty of Natural Geography, Makhambet Utemisov West Kazakhstan University, Uralsk 090000, Kazakhstan
Sustainability, 2025, vol. 17, issue 19, 1-25
Abstract:
This article presents an integrated assessment of pasture ecosystem degradation under conditions of extreme aridity in the Atyrau Region, where high livestock density, limited grazing capacity, and institutional fragmentation of land tenure exacerbate degradation risks. The study aimed to conduct a spatio-temporal analysis of pasture conditions and identify critical load zones to support sustainable management strategies. The methodology was based on a multi-factor Anthropogenic Load (AL) model integrating (1) calculation of pasture load (PL) using 2023 agricultural statistics with livestock numbers converted into livestock units; (2) spatial analysis of grazing concentration through Kernel Density Estimation in ArcGIS 10.8; (3) assessment of infrastructural accessibility (Accessibility Index, A i ); and (4) quantitative evaluation of institutional land use organization (Institutional Index, I i ). This integrative approach enabled the identification of stable, transitional, and critically overloaded zones and provided a cartographic basis for sustainable management. Results revealed persistent degradation hotspots within 3–5 km of water sources and settlements, while up to 40% of productive pastures remain excluded from use. The proposed AL model demonstrated high reproducibility and applicability for environmental monitoring and regional land use planning in arid regions of Central Asia.
Keywords: pasture degradation; anthropogenic load; pasture load; institutional fragmentation of land tenure; GIS-based modeling; Atyrau region (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jsusta:v:17:y:2025:i:19:p:8869-:d:1764821
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