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首页> 外文期刊>Journal of Sensors >Ecological Security Assessment Based on Remote Sensing and Landscape Ecology Model
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Ecological Security Assessment Based on Remote Sensing and Landscape Ecology Model

机译：基于遥感与景观生态模型的生态安全评估

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The various ecological processes of human beings are not only restricted by the landscape pattern on the regional scale but also affect the local and regional landscape together with global climate change. To date, most of the research on ecological security is based on the pressure-state-response (PSR) model, while there were a few studies based on the landscape ecology model approach. In addition, there has been little literature focus on the dynamic change process of ecological security, especially the simulation and prediction of the future development trend of ecological security. The purpose of this research is to establish a landscape ecological security evaluation method based on grid division, be aimed at breaking the inherent drawbacks of the administrative region as a unit mode approach, anticipated to better reflect the landscape ecological security status of the study area. A complex framework was constructed by integrating random forest algorithm, Fishnet model, landscape ecology model, and CA-Markov model. Multitemporal remote sensing data were selected as a data source, and land use maps of the study area were obtained through the random forest machine learning algorithm firstly. And then, the study area is divided into 307 grids of using the Fishnet model. Next, the landscape disturbance index, landscape vulnerability index, and landscape loss index are used on the grid scale to establish a landscape ecological security evaluation model. Finally, ecological security assessment of Zhengzhou city was carried out, and the distribution map of the landscape ecological status in 1986, 1996, 2006, 2016, and predicted for 2026 was obtained. The results of the study showed that, as time goes by, the areas with high ecological safety gradually decrease. It is predicted that by 2026, the ecological security level of Zhengzhou will be dominated by lower ecological security areas. The research results can provide basic information and decision support for government agencies and land use planners to ensure responsible and sustainable development of the urban environment and ecology.
机译：人类的各种生态过程不仅限制了区域规模的景观格局，而且影响了当地和区域风景以及全球气候变化。迄今为止，大多数关于生态安全的研究基于压力 - 态度 - 反应（PSR）模型，而基于景观生态模型方法存在一些研究。此外，还有很少的文献侧重于生态安全的动态变化过程，尤其是对生态安全未来发展趋势的仿真和预测。本研究的目的是建立一个基于网格划分的景观生态安全评估方法，旨在打破行政区域的固有缺点作为单位模式方法，预计更好地反映了研究区的景观生态安全状况。通过集成随机林算法，鱼网模型，景观生态模型和CA-Markov模型来构建复杂的框架。选择多级遥感数据作为数据源，通过首先通过随机林机学习算法获得研究区域的土地使用地图。然后，将研究区域分为307个网格，使用鱼网模型。接下来，在网格规模上使用景观障碍指数，景观脆弱性指数和横向损失指数，以建立景观生态安全评估模型。最后，对郑州市进行了生态安全评估，并获得了1986年，1996年，2006年，2016年景观生态地位的分布图，并预测了2026年。研究结果表明，随着时间的推移，生态安全性高的地区逐渐减少。预测，到2026年，郑州的生态安全水平将由较低的生态安全领域主导。研究结果可以为政府机构和土地使用规划者提供基本信息和决策支持，以确保城市环境和生态的负责任和可持续发展。

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