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Evaluating health of paddy rice field ecosystem with remote sensing and GIS in Lower Yangtze River Plain, China

机译:遥感与GIS技术在长江下游平原水稻田生态系统健康评价

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A paddy rice ecosystem is a fanning system composed of paddy, animals, microbes and other environmental factors in specific time and space, with particular temporal and spatial dynamics. Since paddy rice is a main grain crop to feed above half of population in China, the performance of paddy rice ecosystem is highly concerned to yield level of paddy and food supply safety in China. Therefore, monitoring the performance of paddy rice ecosystem is very important to obtain the required information for evaluation of ecosystem health. In the study we intend to develop an approach to monitor the ecosystem performance spatially and dynamically in a regional scale using MODIS remote sensing data and GIS spatial mapping. On the basis of key factors governing the paddy rice ecosystem, we accordingly develop the following three indicators for the evaluation: Crop growing index (CGI), environmental Index (El), and pests-diseases index (PDI). Then, we integrated the three indicators into a model with different weight coefficients to calculate Comprehensive ecosystem health index (CEHI) to evaluate the performance and functioning of paddy rice ecosystem in a regional scale. CGI indicates the health status of paddy rice calculated from the normalizing enhanced vegetation Index (EVI) retrieved from MODIS data. EI is estimated from temperature Index (TI) and precipitation Index (PI) indicating heat and water stress on the rice field. PDI reflects the damage brought by pests and diseases, which can be estimated using the information obtained from governmental websites. Applying the approach to Lower Yangtze River Plain, we monitor and evaluate the performance of paddy rice ecosystem in various stages of rice growing period in 2006. The results indicated that the performance of the ecosystem was generally very encouraging. During booting stage and heading and blooming stage, the health level was the highest in Anhui province, which is the main paddy rice producer in the region. During stage of yellow ripeness, Jiangsu province had the lowest level of performance. Yield level of paddy rice in 2006 confirms that the applicability of the proposed approach for a rapid evaluation and monitoring of agricultural ecosystem performance in Lower Yangtze River Plain. As a result, the new approach could supply scientific basis for relevant departments taking policies and measures to make sure stable development of paddy yield.
机译:水稻生态系统是一种扇形系统,由特定时间和空间上的稻米,动物,微生物和其他环境因素组成,具有特定的时空动态。由于水稻是中国人口一半以上的主要粮食作物,因此,水稻生态系统的性能与中国的水稻产量水平和粮食供应安全密切相关。因此,监测水稻生态系统的性能对于获得评估生态系统健康所需的信息非常重要。在这项研究中,我们打算开发一种使用MODIS遥感数据和GIS空间映射在区域尺度上动态和动态地监测生态系统性能的方法。在控制水稻生态系统的关键因素的基础上,我们相应地开发了以下三个评估指标:作物生长指数(CGI),环境指数(El)和病虫害指数(PDI)。然后,我们将这三个指标整合到一个具有不同权重系数的模型中,以计算综合生态系统健康指数(CEHI),以评估区域规模的水稻生态系统的性能和功能。 CGI表示从MODIS数据中检索到的标准化增强植被指数(EVI)计算得出的水稻的健康状况。 EI是根据温度指数(TI)和降水指数(PI)估算的,表明气温和水胁迫对稻田的影响。 PDI反映了病虫害带来的损害,可以使用从政府网站获得的信息进行估算。将该方法应用于长江下游平原地区,对2006年水稻生育期各个阶段的水稻生态系统性能进行监测和评估。结果表明,该生态系统的性能总体上令人鼓舞。在孕穗期,抽穗开花期,该地区的健康水平最高,是该地区主要的水稻生产国。在黄熟阶段,江苏省的表现最低。 2006年水稻的产量水平证实了该方法在长江下游平原农业生态系统绩效的快速评估和监测中的适用性。因此,该新方法可为有关部门采取政策措施,确保水稻产量稳定发展提供科学依据。

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