Wetland ecosystems are among the habitats most threatened by climatic change, due to their high sensitivity to the hydrological regime. The proposed project is motivated by the urgent need to develop a predictive capability to understand how wetland vegetation will respond to hydrological regime change triggered by increasing anthropogenic impacts of future Water Control Project and climate change in Poyang lake wetland.The project aims is to investigate the response processes and driving machansim of variation of hydrological regimes on the spatial and temporal pattern of wetland macrophyte community in terms of plant functional groups (PFGs) in the Nanjishan Nature Reserve of Poyang Lake Wetland. . Major project contents are as follows: (i) discriminate functionally distinct PFGs by differences in growth form, succession, morphological structure, physiognomy and phenology from information of Plant Functional Traits, identify PFGs based on numerical traits with reconstructing high spatio-temporal resolution time-series images from Moderate Resolution Imaging Spectroradiometer (MODIS) and Environment Satellites HJ-1A/B data, using spatial and temporal adaptive reflectance fusion model; (ii) explore the mechanism of the dynamics of coevolution processes that link the formation of functional traits continuum (FTC) and PFGs evolution continuum in suppressing of water level fluctuation, and to analyze the adaptive strategies of PFGs in respond to water regime; (iii) analysis the PFGs colonization, FTC evolution continuum and formation, and demonstrate that feedbacks between PFGs evolution continuum, water regime, and fluvial landform have quantitative control on landscape evolution.. The Expected results of the project proposal will contribute us new knowledge about the spatial dynamic regulations and evaluations of wetland PFGs and landscape-level responses and adaptations to hydrological regimes in Poyang Lake Wetland.Studying these topics also will help regional or statewide leadership in wetland research, restoration and service related to management and wise use of wetland resources of Poyang Lake.
本项目为探索鄱阳湖水情变化对湿地植被分布格局的影响及其响应过程、机理,从湿地植物功能群(Plant Functional Groups,PFGs)角度,运用多尺度遥感数据融合技术与连续时间序列数据集重构、数值模拟、集成与整合方法,以鄱阳湖南矶山湿地为例,研究洲滩湿地植物功能群(PFGs)遥感识别与动态演替过程诊断,研究水情驱动下湿地PFGs 空间功能性状带谱形成与季节性水位涨落波动的动态过程,研究洲滩湿地PFGs 的水情驱动-响应机理。基于国产HJ-1A/B 环境遥感影像重构高时空分辨率遥感数据集,辨析沿水文梯度湿地PFGs 的叠置结构、演进谱时空交错更替响应特征,诊断PFGs 演进谱-与水文波动的定量响应关系,揭示水情驱动下洲滩湿地PFGs 的动态响应过程时空演变规律与驱动机理,为鄱阳湖湿地生态系统保护、管理及水位优化调控提供科学依据。
本项目探索了鄱阳湖水情变化对湿地植被分布格局的影响及其响应过程、机理,从湿地植物功能群(Plant Functional Groups,PFGs)角度,运用多尺度遥感数据融合技术与连续时间序列数据集重构、数值模拟、集成与整合方法,以鄱阳湖南矶山湿地为例,研究洲滩湿地植物功能群(PFGs)遥感识别与动态演替过程诊断,研究水情驱动下湿地PFGs空间功能性状带谱形成与季节性水位涨落波动的动态过程,研究洲滩湿地PFGs 的水情驱动-响应机理。基于国产HJ-1A/B 环境、Landsat TM/ETM+/OLI、MODIS及高分卫星遥感影像重构高时空分辨率遥感数据集,辨析沿水文梯度湿地PFGs 的叠置结构、演进谱时空交错更替响应特征,诊断PFGs 演进谱-与水文波动的定量响应关系,揭示了水情驱动下洲滩湿地PFGs 的动态响应过程时空演变规律与驱动机理。研究发现利用多源数据融合可有效识别鄱阳湖洲滩湿地植物功能群类型,可精准进行PFGs多年时空分布及变化趋势分析。同时也发现近30年来鄱阳湖洲滩湿地植物功能群快速演进和向湖中部侵入。结果可为鄱阳湖湿地生态系统保护、管理及水位优化调控提供科学依据。
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数据更新时间:2023-05-31
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