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While land serves numerous societal functions and contributes to sustainable development, it is often unclear how these functions are affected by political decisions and common drivers of land use change, such as economic development, climate change and demographic change. This study evaluates...
Persistent link: https://www.econbiz.de/10011265950
This study is an overview of the effectiveness and institutional challenges of China’s Sloping Land Conversion Program (SLCP). The SLCP is the Chinese government’s largest Payment for Ecosystem Services (PES) program and one of the largest PES programs in the world. From an institutional...
Persistent link: https://www.econbiz.de/10011274552
A burgeoning population, pressing development needs and increasing household consumption are rapidly accelerating water use in direct and indirect ways. Increasingly, regions around the world face growing pressure on sustainable use of their water resources especially in arid and semi-arid...
Persistent link: https://www.econbiz.de/10011276469
The non-point source pollution arising from soil erosion is one of the main reasons for the deterioration of the water quality of the Taihu Lake Basin. Forest plays an important role in controlling soil erosion and reducing nutrient loss. Based on the survey data on forest resources in Anji...
Persistent link: https://www.econbiz.de/10010919014
This paper provides a comprehensive review of ecosystem services and their economic valuation in China. The main objective of this review is to introduce the findings of the various valuation studies, and explore the challenges that emerged in these studies. This paper shows that ecosystem...
Persistent link: https://www.econbiz.de/10008495027
As one of the important non-grain energy crops, sweet sorghum has attracted the attention of scientific community and decision makers of the world since decades. But insufficient study has been done about the spatial suitability distribution and ethanol potential of sweet sorghum in China. This...
Persistent link: https://www.econbiz.de/10008918808
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Crude oil price series are nonlinear and highly volatile, making it difficult to obtain satisfactory performance for traditional statistical-based forecasting methods. To improve prediction accuracy, this study proposes a novel learning paradigm by integrating the trajectory similarity method...
Persistent link: https://www.econbiz.de/10014082837