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Forests 2015, 6(6), 1966-1981; doi:10.3390/f6061966

Spatial Variation of Biomass Carbon Density in a Subtropical Region of Southeastern China

1
State Key Laboratory Breeding Base of Subtropical Forest Cultivation in Zhejiang Province, Zhejiang Agriculture & Forestry University, Lin'an 311300, China
2
The Students' Office, School of Law, Shanghai University of Finance and Economics, Shanghai 200000, China
3
Zhejiang Forest Resources Monitoring Center, Hangzhou 310020, China
4
School of Environmental and Resource Sciences, Zhejiang Agriculture & Forestry University, Lin'an 311300, China
*
Authors to whom correspondence should be addressed.
Academic Editors: Peter Beets and Eric J. Jokela
Received: 31 December 2014 / Accepted: 22 May 2015 / Published: 3 June 2015
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Abstract

Spatial pattern information of forest biomass carbon (FBC) density in forest ecosystems plays an important role in evaluating carbon sequestration potentials and forest management. The spatial variation of FBC density in a subtropical region of southeastern China was studied using geostatistics combined with Moran’s I and geographical information systems (GIS). Forest biomass carbon density values were variable, ranging from 0.12 Mg ha1 to 182.12 Mg ha1, with an average of 27.33 Mg ha−1. The FBC density had the strongest positive correlation with forest age, followed by forest litter and elevation. The FBC density had significant positive spatial autocorrelation revealed by global Moran’s I. Clear spatial patterns were observed based on local Moran’s I. High FBC density values were mainly distributed in the northwestern and southwestern parts of Zhejiang province, which were related to adopting long-term policy of forest conservation in these areas, while low FBC density values located in the middle part and southeastern coastal area of the study area due to low forest coverage and intensive management of economic forests. The Moran’s I combined with geostatistical interpolation proved to be a useful tool for studying spatial variation of FBC density. View Full-Text
Keywords: forest biomass carbon; spatial variation; Moran’s I; GIS forest biomass carbon; spatial variation; Moran’s I; GIS
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Fu, W.; Fu, Z.; Ge, H.; Ji, B.; Jiang, P.; Li, Y.; Wu, J.; Zhao, K. Spatial Variation of Biomass Carbon Density in a Subtropical Region of Southeastern China. Forests 2015, 6, 1966-1981.

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