JOURNAL OF NATURAL RESOURCES ›› 2013, Vol. 28 ›› Issue (12): 2044-2055.doi: 10.11849/zrzyxb.2013.12.003

• Resources Ecology • Previous Articles     Next Articles

An Estimation of Aboveground Vegetation Biomass in Coastal Wetland of Yancheng Natural Reserve

TAN Qing-mei, LIU Hong-yu, ZHANG Hua-bing, WANG Cong, HOU Ming-hang   

  1. Jiangsu Key Laboratory of Environmental Change and Ecological Construction, College of Geography Science, Nanjing Normal University, Nanjing 210023, China
  • Received:2012-12-28 Revised:2013-04-24 Online:2013-12-20 Published:2013-12-19
  • Contact: 刘红玉(1963-),女,辽宁辽阳人,教授,博士生导师,主要从事湿地景观生态研究。E-mail:liuhongyu@njnu.edu.cn E-mail:liuhongyu@njnu.edu.cn

Abstract: With the development of remote sensing technology, it has become an important technical means used to investigate vegetation biomass. The biomass of wetland vegetation is an essential index to describe the wetland ecosystem of primary productivity. Therefore, the investigation of wetland vegetation biomass has important practical significance. In this paper, the core area of the Yancheng Natural Reserve was selected as the study area. The ETM+ image on September 24, 2011 and 31 samples of biomass data in the same period were used as the data source to establish the estimation models. The correlation between the 15 remote sensing information variables and measured biomass were analyzed in this paper. The remote sensing information that showed significant correlation at level 0.01 was selected and the estimation models were established based on eight remote sensing information variables. The models included the simple regression models, the curve regression models and the stepwise regression models, the best estimation models were obtained. The total aboveground vegetation biomass of the study area could then be calculated by the best model in this paper. The conclusions of the study were as follows: 1) Both biomass dry weight and fresh weight of the study area has the best positive correlation to the ETM + 4. The coefficient of biomass dry weight was 0.833 and the coefficient of biomass fresh weight was 0.796. 2) A one variable cubic function model was used by both the biomass dry weight models and biomass fresh weight models. The biomass dry weight models were better than the biomass fresh weight models. 3) The total biomass dry weight of the study area was 2.28×108 kg and the biomass fresh weight weights 6.10×108 kg based on the best estimation models. In this study area, dry biomass was mainly between 1000 g/m2 and 3000 g/m2 and the humid biomass was mainly between 3000 g/m2 and 6000 g/m2. There was little extreme high biomass for both dry weight and fresh weight, which was mainly distributed in the places of Spartina alterniflora. The weight of S. alterniflora biomass was more than the reed biomass, and that of the reed biomass was more than the Suaeda salsa biomass. The low weight was distributed in places of Suaeda salsa and around the culture pond and neighboring bare flat.

Key words: wetland vegetation biomass, Landsat ETM+, Yancheng Natural Reserve, remote sensing, regression model

CLC Number: 

  • TP79