Modeling Integrated Impacts of Climate Change and Grazing on Mongolia’s Rangelands
| Autor: | Otgonsuren Avirmed, Chantsallkham Jamsranjav, Virginia Kowal, Rebecca Chaplin-Kramer, Julian Ahlborn |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Global and Planetary Change
Biomass (ecology) 010504 meteorology & atmospheric sciences Ecology business.industry Agroforestry rangeland condition lcsh:S Climate change 010501 environmental sciences 01 natural sciences grazing impact Grazing pressure lcsh:Agriculture Ecoregion climate change Productivity (ecology) Grazing Environmental science Livestock ecological model Rangeland business 0105 earth and related environmental sciences Nature and Landscape Conservation |
| Zdroj: | Land, Vol 10, Iss 397, p 397 (2021) Land Volume 10 Issue 4 |
| Popis: | Mongolia contains some of the largest intact grasslands in the world, but is vulnerable to future changes in climate and continued increases in the number of domestic livestock. As these are two major drivers of change, it is important to understand interactions between the impact of climate and grazing on productivity of Mongolia’s rangelands and the livelihoods they sustain. We use a gridded, spatially explicit model, the Rangeland Production Model (RPM), to explore the simultaneous and interacting effects of climate and management changes on Mongolia’s rangeland and future livestock production. Comparing the relative impact of temperature, precipitation, and grazing intensity, varied individually and in combination, we find that climatic factors dominate impacts on forage biomass and animal diet sufficiency. Site rainfall strongly mediates the impact of grazing on standing biomass, such that more productive or higher-rainfall sites are more vulnerable to increases in grazing pressure. Gridded simulations covering Mongolia’s Gobi-Steppe ecoregion show that while rangeland biomass is generally predicted to increase under future climate conditions, interactions among spatially varying drivers create strong heterogeneity in the magnitude of change. |
| Databáze: | OpenAIRE |
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