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首页> 外文期刊>Ecological research >Contemporary and future distribution patterns of fluvial vegetation under different climate change scenarios and implications for integrated water resource management
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Contemporary and future distribution patterns of fluvial vegetation under different climate change scenarios and implications for integrated water resource management

机译：不同气候变化情景下河流植被的当代和未来分布格局及其对水资源综合管理的意义

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Knowledge of plant community structure and how it can confer resistance to climate change effects is required for the management of fluvial ecosystems. Findings from such studies can be applied in decision making processes to implement measures to maintain, conserve or improve fluvial quality. Floristic and environmental data from 100 sample stations located in three River Basin Districts in northern Portugal were gathered as part of the 2010 Water Framework Directive monitoring program carried out on mainland Portugal. Three habitat types were characterized based on the flow dynamic level: the wetted channel, the bankfull area and the riparian gallery. Hierarchical cluster analysis of environmental data revealed three distinct environmental groups of sites. Floristic data were organized by these environmental groups characterized by altitudinal, temperature and precipitation data variables. The combination of taxonomic diversity and species frequency reflect functional differences for these habitats, here explained by a resistance and resilience approach. More low-frequency species and higher levels of functional diversity occurred at stations with more variable environmental conditions. Predictive modelling of the future distribution of the three environmental groups under two different climate scenarios supported the relevance of low-frequency traits in conferring resistance to climatic change effects.
机译：管理河流生态系统需要植物群落结构及其如何赋予抗气候变化影响的知识。这些研究的结果可用于决策过程，以实施措施来维持，保存或改善河流质量。作为在葡萄牙大陆实施的2010年水框架指令监测计划的一部分，收集了位于葡萄牙北部三个流域地区的100个采样站的植物区系和环境数据。根据水流的动态水平，对三种生境类型进行了表征：湿润的河道，河岸区域和河岸廊道。环境数据的层次聚类分析显示了站点的三个不同的环境组。这些数据是由海拔，温度和降水数据变量表征的这些环境群体组织的。分类学多样性和物种频率的结合反映了这些生境的功能差异，在此通过抗性和复原力方法进行解释。环境条件多变的电台出现了更多的低频物种和更高水平的功能多样性。在两个不同气候情景下对三个环境群的未来分布的预测模型支持了低频特征在赋予对气候变化影响的抵抗力方面的相关性。

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