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Spatial Distribution of Forest Carbon Based on GIS and Geostatistical Theory in a Small Earth-Rocky Mountainous Area of North China

文献类型: 外文期刊

作者: Zhao, Zhongbao 1 ; Wang, Hongcheng 3 ; Du, Jie 2 ; Bai, Xiang 2 ; Geng, Shigang 2 ; Wan, Fuxu 1 ;

作者机构: 1.Nanjing Forestry Univ, Coll Forestry, Nanjing 210037, Jiangsu, Peoples R China

2.Hebei Univ Environm Engn, Dept Ecol, Qinhuangdao 066102, Hebei Province, Peoples R China

3.Heilongjiang Acad Agr Sci, Hort Subacad, Harbin 150069, Peoples R China

关键词: Forest Carbon Sink;GIS and the Geostatistical Theory;Topographical Factors;Precision;Spatial Distribution;Carbon Accumulation.

期刊名称:JOURNAL OF BIOBASED MATERIALS AND BIOENERGY ( 影响因子:0.708; 五年影响因子:0.739 )

ISSN: 1556-6560

年卷期: 2016 年 10 卷 2 期

页码:

收录情况: SCI

摘要: Studies on forest carbon sinks in the past years mainly focus on regional and national scale forest ecosystems, but ignore the relationships between topographical changes and forest carbon sinks within each component (vegetation, soil, litter) of forest ecosystem. Here we estimated the carbon storages and carbon densities in forest vegetation, soil and litter in Zu Mountains, Hebei Province, North China, using geographic information system (GIS) and the Geostatistical theory. We mapped the spatial distributions, analyzed and discussed the effects of vegetation types and topographical factors on forest carbon storage and carbon density. Results show that (1) Co-kriging (16.59% higher precision) and ordinary kriging interpolations are reliable at estimating forest carbon density, and Circular model was the Optimal one. (2) Total forest carbon storage is 83.92 x 10(4) t, with 13.25 x 10(4) tin vegetation, 69.71 x 10(4) tin soil, and 0.96 x 10(4) tin litter. Forest average carbon density is 144.34 t/ha, with 22.79 t/ha in vegetation, 119.90 t/ha in soil, and 1.65 t/ha in litter. (3) Spatial distribution maps of co-kriging interpolation show that the forest carbon density is similar to the DEM trend and significantly correlated with forest type, elevation and aspect. Our results suggest that co-kriging interpolation is suitable to estimate the forest carbon storage and carbon density. Forest carbon storage and carbon density in each component in Zu Mountains are both significantly different with forest type and topography. The natural forest protecting projects and scientific tending measurement are beneficial to carbon accumulation.

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