A Geospatial Livestock-Carrying Capacity Model (GLCC) in the Akmola Oblast, Kazakhstan

A Geospatial Livestock-Carrying Capacity Model (GLCC) in the Akmola Oblast, Kazakhstan

Spatial disparities in rangeland conditions across Kazakhstan complicate field-based assessments of livestock-carrying capacity (LCC), a critical metric for the country’s food security and economic planning. This study developed a geospatial livestock-carrying capacity (GLCC) modeling framework to q...

Full description

Saved in:
Bibliographic Details
Main Authors: Jiaguo Qi, Zihan Lin, Mark A. Weltz, Kenneth E. Spaeth, Gulnaz Iskakova, Jason Nesbit, David Toledo, Tlektes Yespolov, Maira Kussainova, Lyazzat K. Makhmudova, Xiaoping Xin
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Remote Sensing
Subjects:
remote sensing
livestock-carrying capacity (LCC)
geospatial modeling
rangeland management
climate variability
food security
Online Access:https://www.mdpi.com/2072-4292/17/8/1477
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items