4.6 Article

Estimation of the NorthSouth Transect of Eastern China forest biomass using remote sensing and forest inventory data

Journal

INTERNATIONAL JOURNAL OF REMOTE SENSING
Volume 34, Issue 15, Pages 5598-5610

Publisher

TAYLOR & FRANCIS LTD
DOI: 10.1080/01431161.2013.794985

Keywords

-

Funding

  1. National Natural Science Foundation of China [40801138, 41071251]
  2. National Key Basic Research and Development Programme [2010CB833504]
  3. Non-Profit National Environmental Protection Industrial Special Research Project [2011467030-01]

Ask authors/readers for more resources

The assessment of forest biomass is required for the estimation of carbon sinks and a myriad other ecological and environmental factors. In this article, we combined satellite data (Thematic Mapper (TM) and Moderate Resolution Imaging Spectrometer (MODIS)), forest inventory data, and meteorological data to estimate forest biomass across the NorthSouth Transect of Eastern China (NSTEC). We estimate that the total regional forest biomass was 2.306x10(9) Megagrams (Mg) in 2007, with a mean coniferous forest biomass density of 132.78Mgha(1) and a mean broadleaved forest biomass density of 142.32Mgha(1). The mean biomass density of the entire NSTEC was 129Mg ha(1). Furthermore, we analysed the spatial distribution pattern of the forest biomass and the distribution of biomass along the latitudinal and longitudinal gradients. The biomass was higher in the south and east and lower in the north and west of the transect. In the northern part of the NSTEC, the forest biomass was positively correlated with longitude. However, in the southern part of the transect, the forest biomass was negatively correlated with latitude but positively correlated with longitude. The biomass had an increasing trend with increases in precipitation and temperature. The results of the study can provide useful information for future studies, including quantifying the regional carbon budget.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available