基于VGPM模型和MODIS数据估算梅梁湾浮游植物初级生产力  

Estimation of spatial and seasonal changes in phytoplankton primary production in Meiliang Bay,Lake Taihu,based on the Vertically Generalized Production Model and MODIS data

作　　者：殷燕[1,2] 张运林[1] 时志强[1] 刘笑菡[1,2] 冯龙庆[1] 

机构地区：[1]中国科学院南京地理与湖泊研究所湖泊与环境国家重点实验室太湖湖泊生态系统研究站,南京210008 [2]中国科学院研究生院,北京100049

出　　处：《生态学报》2012年第11期3528-3537,共10页Acta Ecologica Sinica

基　　金：国家自然科学基金项目(40730529;40971252;40825004);江苏省自然科学基金项目(BK2009336);中国科学院知识创新工程项目(KZCX2-YW-QN312);国家水体污染控制与治理科技重大专项(2009ZX07101-013)

摘　　要：基于MODIS影像数据反演的2009年2月份至12月份太湖梅梁湾水域表面叶绿素a、悬浮物浓度以及水温数据,结合初级生产力垂向归纳模型(Vertically Generalized Production Model:VGPM)估算获得梅梁湾2009年逐月平均日初级生产力时空分布。结果表明,梅梁湾2009年年平均日初级生产力及逐月平均日初级生产力空间分布差异显著,呈现从湾内向湾口逐渐递减的趋势。时间序列分析显示,梅梁湾初级生产力季节差异显著,夏季>秋季>春季>冬季,全年初级生产力主要集中在夏季,占47.4%。通过分析VGPM模型中几个输入参数对初级生产力的影响,发现悬浮物浓度与标准化初级生产力存在显著负冥函数关系,反映沉积物再悬浮引起的悬浮物浓度增加能降低水体初级生产力。温度对初级生产力也有一定的调控与制约,与初级生产力呈现正相关趋势,在低于21℃的温度范围内与最大光合作用速率呈现正相关。Phytoplankton is typically the most important primary producer in lake ecosystems, strongly influences nutrient concentrations, and supports higher trophic levels such as zooplankton and filter-feeders. Knowledge of primary production, and its spatial and temporal variations, is of special relevance for Meiliang Bay in the northern part of the Lake Taihu, China, which has three important inflowing rivers which carry domestic sewage and industrial waste water from the adjacent cities of Changzhou and Wuxi. Although primary production in oceans had frequently been estimated using the Vertically Generalized Production Model （VGPM）, this approach has rarely been used in inland lakes. In our present study, phytoplankton primary production in Meiliang Bay, Lake Taihu, was estimated from February to December in 2009 based on VGPM using the MODIS-derived data for chlorophyll a, total suspended solid concentrations, and water surface temperature. There were significant spatial variations in the monthly mean daily primary production in 3 of the 4 seasons： spring （March, April, May）, summer （June, July, August）, and autumn （September, October, November）, and primary production gradually decreased from inner Meiliang Bay to outer Meiliang Bay. In inner Meiliang Bay, suitable qualities and quantities of nutrients, photosynthetically available radiation, and water temperature, provided good conditions for algal growth in these three seasons. However, there was no significant spatial variation in the monthly mean daily primary production in winter （February, December） due to the death and degradation of algae in the whole of Meiliang Bay. There was however, significant spatial variation in the annual mean daily primary production in Meiliang Bay, Lake Taihu in 2009. Time series analysis showed that the seasonal variation of primary production was： summer 〉 autumn 〉 spring 〉 winter. The annual mean daily primary production was 1,291.61 mgC·m-2·d-1, with the highest primary production in August. T

关 键 词：MODIS数据 VGPM模型 初级生产力 梅梁湾 时空变化 

分 类 号：Q948.8[生物学—植物学]