摘要
植被吸收光合有效辐射(Absorbed Photosynthetically Active Radiation,APAR)是植被进行光合作用中实际吸收的太阳辐射量,是植被净第一性生产力的重要指标,也是生态系统的功能模型、作物生长模型、净初级生产力模型、气候模型等的重要参数。因此高空间分辨率和精确性的植被吸收光合有效辐射对于高精度的区域生产力及光能利用率的研究具有重要意义。对CASA(Carnegie-Ames-Stanford Approach)模型进行了改进,利用30m×30m的数字高程模型(Digital Elevation Model,DEM)数据直接计算太阳辐射,从而将其作为CASA模型的输入参数。结合多源遥感数据、气象数据,研究2015-2020年江汉平原APAR的时空分布及其影响因素。顾及江汉平原的土地利用分布特点,着重分析了江汉平原农田APAR的时空特性,研究结果较好的反映了江汉平原APAR分布。实验结果表明:(1)2015-2020年APAR年总值在3.42×10^(13)MJ-3.73×10^(13)MJ之间,总体空间分布与植被类型的分布情况相符;(2)农田月均APAR值在4月、7月高于其他月份,表现出“双峰”的特征;(3)在空间分布上,水田APAR表现出明显的纬度地带性,而旱地APAR正好相反,这可能源于种植结构重心转移;(4)通过借助地理探测器,着重考虑与植被生长相关的12个因子(包括≧10℃积温、年总日照时数、年均气温、年总降雨量、农田种植结构、年散射辐射、农田施肥、土壤类型、土壤质地(砂土、粉砂土、黏土))进行分析,结果表明这12个因素对APAR空间变异性都具有很明显的影响。对CASA的改进方法可以适用于大范围高空间精度的计算。
Absorbed Photosynthetically Active Radiation(APAR)is the solar radiation amount effectively absorbed by vegetation during the photosynthesis process.It is an important indicator of the net primary productivity for vegetation.It is also the functional model of the ecosystem,crop growth model,and net primary important parameters such as productivity models and climate models.Therefore,the absorption of photosynthetically active radiation by vegetation with high spatial resolution and accuracy is of great significance for the study of high-precision regional productivity and light energy utilization.In this study,the CASA model is enhanced by integrating Digital Elevation Model(DEM)data with a resolution of 30 m×30 m as a key input parameter.Combining multi-source remote sensing data and meteorological data,the spatial-temporal distribution of APAR in Jianghan Plain and its influence factors from 2015 to 2020 were investigated.Considering the characteristics of land use distribution in Jianghan Plain,this paper focused on analyzing the spatial-temporal characteristics of farmland APAR in Jianghan Plain.Experimental results reflected the distribution of APAR in Jianghan Plain.(1)The total annual values of APAR from 2015 to 2020 ranged from 3.42×10^(13) MJ to 3.73×10^(13) MJ,whereas the overall spatial distribution was consistent with the distribution of vegetation types.(2)The average value of monthly APAR in April and July was higher than other months,showing the characteristics of“double peaks”.③In terms of spatial distribution,paddy field APAR showed obvious latitude zonality.In contrast,dryland APAR was just the opposite,which might be attributed to the shift of the planting structure's center of gravity.④Using geographic detectors analysis,12 factors related to vegetation growth ≥10≧accumulated temperature,total annual sunshine hours,annual average temperature,total annual rainfall,farmland planting structure,annual scattered radiation,farmland fertilization,soil type,and soil texture(sand,silt,cl
作者
林婷敏
陈楠
林偲蔚
LIN Tingmin;CHEN Nan;LIN Siwei(Key Lab for Spatial Data Mining and Information Sharing of Education Ministry,Fuzhou University,Fuzhou,350108,China;The Academy of Digital China,Fuzhou University,Fuzhou,350108,China;Zhangzhou Land Acquisition and Reserve Center,Zhangzhou,350108,China;School of Geography and Ocean Science,Nanjing University,Nanjing 210023,China)
出处
《生态科学》
CSCD
北大核心
2024年第2期211-222,共12页
Ecological Science
基金
福建省社会发展产学研合作项目(2018Y0054)
国家自然科学基金项目(41771423)。
关键词
光合有效辐射
植被吸收光合有效辐射
CASA模型
数字高程模型
地理探测器
photosynthetically active radiation
absorbed photosynthetically active radiation
CASA model
digital elevation model
geographic detector
