Landscape Ecological Risk in Mountain Areas
A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Landscape Ecology".
Deadline for manuscript submissions: closed (3 July 2024) | Viewed by 5636
Special Issue Editors
2. Institute of Mountain Hazards and Environment, Chinese Academy of Sciences, Chengdu 610041, China
Interests: mountain research and development; land space use
Special Issue Information
Dear Colleagues,
The mountain ecosystem provides an important material basis and ecological services for the development of human society, and the stability and sustainability of its landscape ecological structure and function have become necessary conditions for regional sustainable development. However, global climate change and the continuous development of human society make the mountain ecosystem bear great stress directly or indirectly. These stresses lead to many ecological risks. The scientific assessment and management of these ecological risks is an important prerequisite for mountain resources and the environment to support sustainable economic and social development. With the rapid development of ecological risk assessment research, the research scale extends from patch to landscape. The evaluation object extends from a single ecosystem to a variety of ecosystems and is associated with social networks, so it is urgent to update the methodology of ecological risk assessment. Landscape ecology combines the traditional ecological methods of studying the structure and function of the ecosystem with the geographical thinking that emphasizes the law of spatial differentiation, which provides important ideological guidance for the study of ecological risks from the perspective of regional integration of geo-ecological processes. Therefore, the landscape ecological risk assessment based on the correlation between landscape ecological process and spatial pattern arises at the historic moment. Landscape ecological risk refers to the severity and possibility of adverse consequences caused by the interaction between landscape patterns and ecological processes under the influence of natural or man-made factors. Landscape ecological risk assessment can clarify the main ecological elements and processes that restrict regional ecological sustainability. It can provide the decision-making basis for comprehensive risk prevention in mountainous areas and effectively guide the optimization and management of landscape patterns in mountainous areas.
Starting from the need for sustainable development in mountain areas, the purpose of this Special Issue is to explore the methods of landscape ecological risk assessment in mountain areas, the indexing approach of models, and the setting of evaluation index weights, to clarify the basic principles and methods of mountain landscape ecological risk assessment. We will explore the key research direction of mountain landscape ecological risk assessment and provide new ideas and methods for accelerating the development of the mountain landscape ecological risk research field. We will bring together relevant original research, build an academic sharing platform, and encourage scientific and rigorous analysis and discussion.
This Special Issue welcomes high-quality original research and review articles related to the ecological risk of mountain landscapes. This will focus on the following topics, but are not limited to:
- Risk assessment and prevention of landscape ecology in the mountain area;
- Changes and driving forces of landscape ecological risk in the mountain area;
- Simulation and prediction of landscape ecological risk in the mountain area;
- Landscape ecological response of mountain area under a changing environment—pattern, process, and effect;
- Landscape ecological structure and function and watershed safety in mountain and valley areas.
Prof. Dr. Quanzhi Yuan
Guest Editors
Manuscript Submission Information
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Keywords
- landscape ecological risk
- mountain areas
- structure and function
- changing environment
- simulation and prediction
- landscape ecological response
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