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Incorporating seasonality into livestock spatial distribution is of great significance for studying the complex system interaction between climate, vegetation, water, and herder activities, associated with livestock. The Qinghai-Tibet Plateau (QTP) has the world's most elevated pastoral area and is a hot spot for global environmental change. This study provides the spatial distribution of cattle, sheep, and livestock grazing on the warm-season and cold-season pastures at a 15 arc-second spatial resolution on the QTP. Warm/cold-season pastures were delineated by identifying the key elements that affect the seasonal distribution of grazing and combining the random forest classification model, and the average area under the receiver operating characteristic curve of the model is 0.98. Spatial disaggregation weights were derived using the prediction from a random forest model that linked county-level census livestock numbers to topography, climate, vegetation, and socioeconomic predictors. The coefficients of determination of external cross-scale validations between dasymetric mapping results and township census data range from 0.52 to 0.70. The data could provide important information for further modeling of human-environment interaction under climate change for this region., (© 2023. The Author(s).)

Global warming can have positive or negative impacts on society depending on sectors and changes in climate impact drivers, resulting in opportunities or risks. The same holds true for social-economic changes. However, past research has mostly focused on assessing risks, leaving potential opportunities under-addressed. Here, we simulated the impact of climate change and socioeconomic development on livestock snow disasters over the Qinghai-Tibetan Plateau during 1986-2100, by integrating the drivers of climate and socioeconomic changes via an event-based disaster risk assessment model. Model results show climate change and socioeconomic development contributes about equally to reducing livestock loss in snow disasters by 4% yr -1 up to 2100 under representative concentration pathway 8.5 and shared-socioeconomic pathway 5. The marginal benefit from climate change was projected to be a 43.2% reduction in annual average loss per degree kelvin warming, and that from socioeconomic development was a 12.4% reduction per 100% increase in gross domestic production. In a 2 °C warmer world, the annual average loss could be 91% smaller compared with the baseline period (1986-2005). Limiting global warming to 1.5 °C instead of 2 °C would reduce the benefit by 5%, requiring a 135% increase in the marginal benefits of prevention capacity to offset the reduction., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.)