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Simulation Dataset of Livestock System in Four Soums in Northern Mongolia (2022-2050)


XU Zengrang1WANG Juanle1ZHANG Biao2DAVAASUREN Davaadorj3
1 Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China2 Baotou Teachers’ College,Inner Mongolia University of Science and Technology,Baotou 014030,China3 National University of Mongolia,Ulaanbaatar 210646,Mongolia

DOI:10.3974/geodb.2024.10.03.V1

Published:Oct. 2024

Visitors:31       Data Files Downloaded:1      
Data Downloaded:0.11 MB      Citations:

Key Words:

forage production,carrying capacity,livestock inventory,livestock output,Mongolia

Abstract:

With the influence of climate change and the rapid growth in livestock numbers, the ecosystem in northern part of Mongolia has significantly degraded, threatening regional sustainable development. The simulation dataset of livestock system in four Soums in Northern Mongolia (2022-2050) was developed based on the integration of the socioeconomic statistics data, spatial data including land cover, Net Primary Productivity (NPP) from 2015 to 2022 and data of land cover and Net Primary Productivity (NPP) under CMIP6 SSP-RCPs scenarios during 2022-2050, using the Vensim System Dynamic Model. The dataset includes the following data in four Soums including Tumurbulag, Khutag-Undur, Zuunburen, and Orkhon: (1) boundaries of the study area; (2) estimated forage production, carrying capacity, livestock inventory, and livestock output under the three socioeconomic-climate scenarios, such as SSP1-RCP2.6, SSP2-RCP4.5, and SSP5-RCP8.5. The dataset is archived in .shp and .xlsx formats, and consists of 9 data files with data size of 142 KB (Compressed into one file with 113 KB).

Foundation Item:

National Natural Science Foundation of China (32161143025, 42371283); Ministry of Science and Technology of P. R. China (2022YFE0119200, 2019QZKK0603)

Data Citation:

XU Zengrang, WANG Juanle, ZHANG Biao, DAVAASUREN Davaadorj.Simulation Dataset of Livestock System in Four Soums in Northern Mongolia (2022-2050)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.10.03.V1.

References:


     [1] Friedl, M., Sulla-Menashe, D. MCD12Q1 MODIS/Terra+Aqua Land Cover Type Yearly L3 Global 500m SIN Grid V006 [DB]. NASA EOSDIS Land Processes Distributed Active Archive Center, 2019.
     [2] Guo, J. P., Shen, B. B., Li, H. X., et al. Past dynamics and future prediction of the impacts of land use cover change and climate change on landscape ecological risk across the Mongolian Plateau [J]. Journal of Environmental Management, 2024, 355: 120365.
     [3] Hou, H. Y. Global IGBP LULC projection dataset under eight SSPs-RCPs [DB]. Figshare, 2022. DOI: 10.6084/m9.figshare.20088368.v1.
     [4] NSO. Mongolian statistical information service [M/OL], National Statistics Office of Mongolia. 2024. Ulaanbaatar. https://www2.1212.mn.
     [5] Xin, X. G., Wu, T. W., Shi, X. L., et al. BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP ssp126 [DB]. Earth System Grid Federation, 2019. DOI: 10.22033/ESGF/CMIP6.3028.
     [6] Xin, X. G., Wu, T. W., Shi, X. L., et al. BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP ssp245 [DB]. Earth System Grid Federation, 2019. DOI: 10.22033/ESGF/CMIP6.3030.
     [7] Xin, X. G., Wu, T. W., Shi, X. L., et al. BCC BCC-CSM2MR model output prepared for CMIP6 ScenarioMIP ssp585 [DB]. Earth System Grid Federation, 2019. DOI: 10.22033/ESGF/CMIP6.3050.
     

Data Product:

ID Data Name Data Size Operation
1 LivestockSoumsMongolia2022-2050.rar 113.30KB
Co-Sponsors

Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences

The Geographical Society of China

Parteners

Committee on Data for Science and Technology (CODATA) Task Group on Preservation of and Access to Scientific and Technical Data in/for/with Developing Countries (PASTD)

Jomo Kenyatta University of Agriculture and Technology

Digital Linchao GeoMuseum