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Full-Text Articles in Life Sciences
Climate And Land Use Controls On Soil Organic Carbon In The Loess Plateau Region Of China, Yaai Dang, Wei Ren, Bo Tao, Guangsheng Chen, Chaoqun (Crystal) Lu, Jia Yang, Shufen Pan, Guodong Wang, Shiqing Li, Hanqin Tian
Climate And Land Use Controls On Soil Organic Carbon In The Loess Plateau Region Of China, Yaai Dang, Wei Ren, Bo Tao, Guangsheng Chen, Chaoqun (Crystal) Lu, Jia Yang, Shufen Pan, Guodong Wang, Shiqing Li, Hanqin Tian
Chaoqun (Crystal) Lu
The Loess Plateau of China has the highest soil erosion rate in the world where billion tons of soil is annually washed into Yellow River. In recent decades this region has experienced significant climate change and policy-driven land conversion. However, it has not yet been well investigated how these changes in climate and land use have affected soil organic carbon (SOC) storage on the Loess Plateau. By using the Dynamic Land Ecosystem Model (DLEM), we quantified the effects of climate and land use on SOC storage on the Loess Plateau in the context of multiple environmental factors during the period …
Species Distribution Modelling Using Bioclimatic Variables To Determine The Impacts Of A Changing Climate On The Western Ringtail Possum (Pseudocheirus Occidentals; Pseudocheiridae), Shaun Molloy, Robert Davis, Eddie Van Etten
Species Distribution Modelling Using Bioclimatic Variables To Determine The Impacts Of A Changing Climate On The Western Ringtail Possum (Pseudocheirus Occidentals; Pseudocheiridae), Shaun Molloy, Robert Davis, Eddie Van Etten
Shaun W Molloy Dr
The ngwayir (western ringtail possum Pseudocheirus occidentalis) is an arboreal species endemic to south-western Australia. The range and population of this species have been significantly reduced through multiple anthropogenic impacts. Classified as vulnerable, the ngwayir is highly susceptible to extremes of temperature and reduced water intake. Ngwayir distribution was determined using three different species distribution models using ngwayir presence records related to a set of 19 bioclimatic variables derived fromhistorical climate data, overlaid with 2050 climate change scenarios.MaxEnt was used to identify core habitat and demonstrate how this habitat may be impacted. A supplementary modelling exercise was also conducted to …