自然资源学报 ›› 2019, Vol. 34 ›› Issue (9): 2001-2011.doi: 10.31497/zrzyxb.20190915

• 资源生态 • 上一篇    下一篇

鄱阳湖碟形湖泊(常湖池)春季苔草生物量遥感估算

饶滴滴1,2, 于秀波1, 李鹏1, 夏少霞1, 孟竹剑1, 刘影2   

  1. 1. 中国科学院地理科学与资源研究所,北京 100101;
    2. 江西师范大学鄱阳湖湿地与流域研究教育部重点实验室,南昌 330022
  • 收稿日期:2019-01-04 修回日期:2019-05-30 出版日期:2019-09-28 发布日期:2019-09-28
  • 通讯作者: 李鹏(1984- ),男,江西永新人,博士,副研究员,主要从事资源地理与国土资源遥感研究。E-mail: lip@igsnrr.ac.cn
  • 作者简介:饶滴滴(1993- ),女,江西广昌人,博士研究生,主要从事土地利用变化与遥感应用研究。E-mail: raodidijxnu@163.com
  • 基金资助:
    国家自然科学基金项目(41361104,41471088,41701212); 江西省重大生态安全问题监控协同创新中心项目(JXS-EW-00)

Remote sensing estimation of spring Carex biomass in Changhuchi Lake, a shallow sub-lake of Poyang Lake

RAO Di-di1,2, YU Xiu-bo1, LI Peng1, XIA Shao-xia1, MENG Zhu-jian1, LIU Ying2   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
  • Received:2019-01-04 Revised:2019-05-30 Online:2019-09-28 Published:2019-09-28

摘要: 基于Sentinel-2植被指数,应用回归分析法分析了鄱阳湖碟形子湖泊(常湖池)的苔草(Carex)群落生物量与植被指数的关系,并探讨了高程水位和气温变化对其的影响。研究结果表明:(1)10种常用的植被指数中,土壤调节植被指数(Soil Adjusted Vegetation Index,SAVI)是常湖池苔草春季生长中后期(3月22日至5月5日)地上生物量估算的最佳植被指数,SAVI构建的三次多项式是常湖池苔草地上生物量最优遥感估算模型,其均方根误差为73.91 g/m2,预测吻合度为71.90%,苔草生物量分布总体表现为自湖心到湖岸逐渐增加。(2)3月22日(春季苔草生长中期)和5月5日(春季苔草生长后期)苔草的地上总生物量分别为1.06×105 kg和3.28×105 kg,单位面积苔草生物量分别为77.56 g/m2和208.44 g/m2,这与鄱阳湖其他子湖单位面积生物量一般低于300 g/m2相一致。(3)常湖池苔草生长受高程、水位和气温多重要素综合影响。3月底常湖池13.47 m高程(黄海高程,参考星子站水位,下同)以下苔草植株矮小,生物量积累较少;13.47 m高程以上区域受前期低温胁迫,生物量增长缓慢。随着气温回暖,出露区域的苔草生物量逐渐积累,并随高程增加而增长。

关键词: 鄱阳湖, 遥感, Sentinel-2, 苔草生物量, 回归分析

Abstract: The relationship between community biomass of spring Carex and Sentinel-2 derived vegetation indices (VIs) was analyzed using regression analysis in one of dish-shaped lakes (i.e. Changhuchi) of Poyang Lake. In addition, the effects of elevation, water level, and temperature changes on community biomass were also examined. The results showed that: (1) Among the 10 commonly used VIs, Soil Adjusted Vegetation Index (SAVI) is the most appropriate VI for spring Carex biomass estimation of Changhuchi Lake from March 22nd to May 5th. The cubic polynomial parameterized by SAVI was an optimal biomass estimation model with the root mean square error of 73.91 g/m2 and the predicted coincidence of 71.90%. Spatially, the biomass of spring Carex community generally increased from the central part to lakeshore. (2) On March 22nd (normally in the middle of growth) and May 5th (the end of growth), the total aboveground biomass of spring Carex grass was 1.06×105 kg and 3.28×105 kg, respectively, along with the biomass per unit area of 77.56 g/m2 and 208.44 g/m2, respectively. Our estimates were basically in line with the previously reported upper limit of 300 g/m2 in other sub-lakes within Poyang Lake. (3) The growth of spring Carex in Changhuchi Lake is jointly affected by elevation, water level and air temperature. At the end of March, the area below 13.47 m (Yellow Sea Datum) in Changhuchi Lake is generally flooded, hence with dwarf plants and less biomass accumulation. For the regions above 13.47 m, the biomass is also at a low level due to low temperature and short dormancy. As the temperature rises, the biomass of spring Carex in the whole exposed area of Changhuchi Lake gradually accumulates with larger per unit area biomass at the higher elevations.

Key words: regression analysis, Carex biomass, Poyang Lake, Sentinel-2, remote sensing