资源简介

摘要： 日光诱导叶绿素荧光(Sun-induced Chlorophyll Fluorescence，SIF)作为监测总初级生产力(Gross Primary Production，GPP)最有效的手段之一，相对于传统的绿度植被指标，能直接反映光合作用的动态变化。SCOPE(Soil Canopy Observation，Photochemistry，and Energy fluxes)模型可以用于同时模拟荧光和GPP，但其在不同生育期和天气条件下的模拟效果仍有待验证。基于2016年水稻生育期的生理参数和气象观测数据，利用冠层SIF760和GPP的观测值验证了SCOPE模型模拟的不同生育期和天气条件下的SIF760和GPP。研究结果表明:SCOPE模型可以模拟季节尺度上的SIF760和GPP(R2=0.44和R2=0.67)；从日尺度上来看，SCOPE模型在不同生育期有不同的表现，成熟期时SCOPE模型估算的SIF760和GPP效果最好(R2=0.99和R2=0.96)，而抽穗—开花期模型的模拟效果最差。从整个生育期来看，SCOPE模型模拟的SIF760值低于实际观测值，而GPP的模拟值偏高，但整体趋势一致。同时，天气状况也会对SCOPE模型的模拟SIF760结果产生影响，晴天SCOPE模型模拟的SIF760要优于多云(R2=0.64和R2=0.46)。因此，SCOPE模型可以用于模拟水稻在不同生育期的SIF760和GPP。该研究结果为荧光遥感监测农田生态系统生产力以及对其环境因子的响应研究提供了一定的模型基础。 关键词： SIF;  GPP;  SCOPE模型;  水稻;  生育期     Abstract: Sun-induced Chlorophyll Fluorescence and GPP Simulationswith SCOPE Model for Paddy Rice Under Different Growing StagesCompared with traditional greenness-based vegetation indicators，Sun-induced Chlorophyll Fluorescence (SIF)，as one of the most effective tools in monitoring Gross Primary Production(GPP)，can be used to directly reflect the dynamic changes of photosynthesis.The SCOPE (Soil Canopy Observation，Photochemistry，and Energy Fluxes) model has been widely used to simulate the SIF and GPP across multiple scales.However，the accuracy and ability of the SCOPE model on the simulations under different growth stages and weathers remains unclear.In this study，we investigated the performance of SCOPE in SIF760 and GPP based on the physiological parameters and meteorological data of paddy rice in 2016.Then we compared the simulations with the measured SIF760and GPP under different growing stages and weather conditions.The results showed that the SCOPE model could simulate well for SIF760 and GPP at the seasonal scale (R2=0.44 and R2=0.67).However，the SCOPE model had different performances under different growth stages at the diurnal scale A better performance was obtained in maturity stage of rice (R2=0.99 and R2=0.96)，while a lower performance was at the heading-flowering stage.During the whole growth period，the SIF760 simulated by the SCOPE model was lower than the measured SIF760while the simulated GPP was higher.In addition，weather conditions significantly affect the simulations from the SCOPE model.The accuracy of the SIF760 simulations on sunny days was better than that in cloudy days (R2=0.64 and R2=0.46，respectively).Our quantitative assessment of the SCOPE model supported its usefulness for interpreting SIF and GPP under different growth stages.These results provided the model evidence for remote sensing of SIF to monitor crop photosynthesis and its response on environmental factors.

相关资源

1. 水质遥感监测的关键要素叶绿素a的反演算法研究进展
2. 基于无人机遥感技术的森林参数获取研究进展
3. 基于无线传感器网络的森林生态系统观测试验平台构建
4. 基于无人机激光雷达的森林冠层高度分析
5. 多源时序国产卫星影像的森林火灾动态监测
6. 基于无人机遥感技术的台风灾害倒伏绿化树木检测

下载说明

·如果您发现该资源不能下载，请通知管理员.gissky@gmail.com

·为确保下载的资源能正常使用，请使用[WinRAR v3.8]或以上版本解压本站资源,缺省解压密码www.gissky.net ，如果是压缩文件为分卷多文件，请依次下载每一个文件，并按照顺序命名为1.rar,2.rar,3.rar...，然后鼠标右击1.rar解压.

·为了保证您快速的下载速度，我们推荐您使用[网际快车]等专业工具下载.

·站内提供的资源纯属学习交流之用,如侵犯您的版权请与我们联系.