Journal article

Publication year: 2023

Journal: Scientific Data

Volume number: 10

Issue number: 1

eISSN: 2052-4463

Open access status: Gold

DOI Link: https://doi.org/10.1038/s41597-023-02736-5

Publisher: Nature Research

Abstract: 
Livestock rearing is a major source of livelihood for food and income in dryland Asia. Increasing livestock density (LSKD) affects ecosystem structure and function, amplifies the effects of climate change, and facilitates disease transmission. Significant knowledge and data gaps regarding their density, spatial distribution, and changes over time exist but have not been explored beyond the county level. This is especially true regarding the unavailability of high-resolution gridded livestock data. Hence, we developed a gridded LSKD database of horses and small ruminants (i.e., sheep & goats) at high-resolution (1 km) for Kazakhstan (KZ) from 2000-2019 using vegetation proxies, climatic, socioeconomic, topographic, and proximity forcing variables through a random forest (RF) regression modeling. We found high-density livestock hotspots in the south-central and southeastern regions, whereas medium-density clusters in the northern and northwestern regions of KZ. Interestingly, population density, proximity to settlements, nighttime lights, and temperature contributed to the efficient downscaling of district-level censuses to gridded estimates. This database will benefit stakeholders, the research community, land managers, and policymakers at regional and national levels.

Harvard Citation style: Kolluru, V., John, R., Saraf, S., Chen, J., Hankerson, B., Robinson, S., et al. (2023) Gridded livestock density database and spatial trends for Kazakhstan, Scientific Data, 10(1), Article 839. https://doi.org/10.1038/s41597-023-02736-5

APA Citation style: Kolluru, V., John, R., Saraf, S., Chen, J., Hankerson, B., Robinson, S., Kussainova, M., & Jain, K. (2023). Gridded livestock density database and spatial trends for Kazakhstan. Scientific Data. 10(1), Article 839. https://doi.org/10.1038/s41597-023-02736-5