红树林"非植被参数"遥感定量监测及生态系统质量空间评价

项目名称： 红树林"非植被参数"遥感定量监测及生态系统质量空间评价

项目编号： No.41201179

项目类型： 青年科学基金项目

立项/批准年度： 2013

项目学科： 地理学

项目作者： 孙永光

作者单位： 国家海洋环境监测中心

项目金额： 23万元

中文摘要： 以景观生态学"格局-过程"理论为指导，针对红树林非植被参数（沉积物环境、水环境、底栖动物）无法进行遥感直接监测的问题，借助遥感技术、空间分析、格局分析、移动窗口设计、群落调查及生态多元统计方法,以理解种间格局指数对非植被特征参数表征及定量模拟、构建非植被参数遥感监测方法为核心；广西山口、沙田、北界、英罗湾红树林为例，对红树林植被特征参数（生物量、NDVI、LAI、平均冠幅、树高、生物多样性等参数）进行遥感监测、反演、种间格局分异规律进行分析；结合地面调查数据，将格局特征与非植被特征参数进行多尺度定量模拟，通过格局分析间接实现非植被参数的定量遥感；构建红树林生态系统质量遥感评价模型，对非植被参数遥感监测效率进行验证；探索非植被特征参数对种间格局响应、定量模拟和尺度效应问题，对揭示种间格局与过程机理具有重要意义，为实现非植被参数遥感监测提供理论基础，对推动生态系统变化遥感监测评价具有长远意义。

中文关键词： 遥感监测；非植被参数；种间格局分析；红树林质量；空间评价

英文摘要： Providing accurate estimation of non-vegetation parameters (Sediment environment, water environment, benthic animal communities) is a major challenge for remote sensing. Based on the "pattern-process" theory of landscape ecology, this research uses the technologies of remote sensing, spatial analysis, pattern analysis, moving windows analysis, ecological multivariate statistical analysis and field investigation to quantify the relationship between interspecific pattern and non-vegetation parameters in the case study of Mangrove in Sha Tian,Shan Kou,Bei Jie and Ying Luo. Mangrove vegetation parameters ( biomass, NDVI, LAI, the Average tree height, crown width, biodiversity etc. ) will be estimated by remote sensing to demonstrate the interspecific pattern sequently used in the quantification of non-vegetation parameters. The evaluation model of mangrove quality will be constructed to validate the effectiveness of non-vegetation parameters monitoring by remote sensing. The research of response, quantitative simulation and scale effect between non-vegetation parameters and interspecific pattern will makes sense to understand the relationship of pattern and process, as well as to provide theoretical basis for the quantitative remote sensing of non-vegetation parameters and promote the development of ecological syste

英文关键词： remote sensing monitor；non-vegetation parameters；interspecific pattern analysis；mangrove ecosystem quality；spatial evaluation