The Influence of Climate Change on High Altitude Grassland Ecosystems
Population of selected taxa
PSBR model type
15.4 By 2030, ensure the conservation of mountain ecosystems, including their biodiversity, in order to enhance their capacity to provide benefits that are essential for sustainable development.
Aichi Biodiversity Targets
Target 15: By 2020, ecosystem resilience and the contribution of biodiversity to carbon stocks has been enhanced, through conservation and restoration, including restoration of at least 15 per cent of degraded ecosystems, thereby contributing to climate change mitigation and adaptation and to combating desertification.
The high mountain ecosystem is one of the sensitive areas under climate change. The high mountain grassland usually has unfavorable growth conditions for plants, such as shallow soils, poor nutrients, low temperatures, strong winds, and heavy snows, but some specific species can adapt and grow in such extreme environments. However, under climate change, many extreme climatic events, such as warm winter, drought, and sudden decline of temperatures after spring would disturb the phenology of high mountain species, obstruct population renewal and cause the decline of populations. Furthermore, climate warming would also cause invasive species that were originally suppressed by low temperatures to gradually move up, threatening native and endemic plant populations.
Definition and Calculation
To understand if climate change could affect the high mountain ecosystems, we selected the high mountain grassland ecosystem to conduct vegetation surveys and analyzed the distributions of species, vegetation and environmental factors at vertical and horizontal gradients, together with the temperature data from meteorological stations. To understand the influence of temperature change on species abundance, we also collected the long-term monitoring data (includes herbal species composition, abundance) in the high mountain grassland ecosystems, and used temperature data of meteorological station to perform relational and regression analyses.
The data and temporal range
Data Management Authorities
Forestry Bureau, Council of Agriculture