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Ecological protection for natural protected areas based on landsenses ecology: a case study of Dalinor National Nature Reserve
International Journal of Sustainable Development and World Ecology ( IF 6.5 ) Pub Date : 2020-02-11 , DOI: 10.1080/13504509.2020.1727585
E. Yu 1, 2 , N. Cui 1, 2 , Y. Quan 1 , C. Wang 1 , T. Jia 1, 2 , D. Wu 3 , G. Wu 1, 2
Affiliation  

ABSTRACT

The global environment has been worsening, and governments around the world have realized that the establishment of natural protected areas is one of the important ways to achieve sustainable development. Natural protected areas are spatial carriers for protecting biodiversity, natural resources and cultural heritages, and play a vital role in achieving regional ecological security. Combined with the evolution rules of the complex ecosystem, this article establishes the protection framework and optimizes the protection strategies of natural protected areas with landsenses ecology as the main theoretical basis. Taking Dalinor National Nature Reserve as an example, protection strategies are analyzed from three aspects, namely protection objectives, protection contents and protection measures. Based on the three-zone management model of natural protected areas, the Internet of Things (IoT) is used to help managers better understand various data indicators of the residents, resources and rare species in natural protected areas; mix-marching data platform is used to conduct data analysis and quantitative evaluation. By doing so, protection strategies can be carried out through a process of melioration.



中文翻译:

基于景观生态的自然保护区生态保护-以达里诺国家级自然保护区为例

摘要

全球环境一直在恶化,世界各国政府已经意识到,建立自然保护区是实现可持续发展的重要途径之一。自然保护区是保护生物多样性,自然资源和文化遗产的空间载体,在实现区域生态安全中发挥着至关重要的作用。结合复杂生态系统的演化规律,建立了保护框架,以景观生态学为主要理论基础,优化了自然保护区的保护策略。以达里诺国家级自然保护区为例,从保护目标,保护内容和保护措施三个方面对保护策略进行了分析。基于自然保护区的三区管理模型,物联网(IoT)用于帮助管理人员更好地了解自然保护区居民,资源和稀有物种的各种数据指标;混合行军数据平台用于进行数据分析和定量评估。通过这样做,可以通过改善过程来执行保护策略。

更新日期:2020-02-11
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