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

机译:遥感与遥感稻田生态系统的健康与遥感与GIS在中国较低的遥感中,中国

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A paddy rice ecosystem is a farming 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 (EI), 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农业系统,由特定时间和空间的稻谷,动物,微生物和其他环境因素组成,具有特定的时间和空间动态。由于水稻是饲养在中国人口的一半以上的主要谷物作物,因此水稻生态系统的表现非常涉及中国稻谷和食品供应安全的水平。因此,监测水稻生态系统的性能对于获得生态系统健康评估所需信息非常重要。在该研究中,我们打算使用Modis遥感数据和GIS空间映射在区域尺度中开发一种方法来监控生态系统性能。在治疗水稻生态系统的关键因素的基础上,我们相应地制定了以下三个指标进行评价:作物生长指数(CGI),环境指数(EI)和害虫 - 疾病指数(PDI)。然后,我们将三个指标集成到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),以评估水稻生态系统以区域规模的性能和运作。 CGI指示水稻从正规化增强植被指数(EVI)来计算从MODIS数据中检索到的健康状态。 EI估计从温度指数(TI)和降水指数(PI)指示稻田上的热量和水胁迫。 PDI反映了害虫和疾病所带来的损害,可以使用从政府网站获得的信息估计。将这种方法应用于较低的长江平原,我们监测和评估2006年水稻生长期水稻生态系统的性能。结果表明,生态系统的表现一般非常令人鼓舞。在引导阶段和标题和盛开阶段,安徽省的健康水平是该地区主要稻草生产商的最高。在黄色成熟的阶段,江苏省的表现水平最低。 2006年稻米产量水平证实,提出的方法适用于迅速评估和监测下长江平原的农业生态系统表现。因此,新方法可以为有关部门提供科学依据,以确保水稻产量的稳定发展。

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