Total carbon stocks in a tropical forest landscape of the Porce region, Colombia
- 作者：Carlos A. Sierra ; Jorge I. del Valle ; Sergio A. Orrego ; Flavio H. Moreno ; Mark E. Harmon ; Mauricio Zapata ; Gabriel J. Colorado ; Marí ; a A. Herrera ; Wilson Lara ; David E. Restrepo ; et al.
- 关键词：Aboveground biomass ; Belowground biomass ; Biomass equations ; Heterogeneous landscapes ; Necromass ; Soil organic carbon
- 刊名：Forest Ecology and Management
- 出版年：2007
- 期刊代码：54_03781127
- 类别：abs
- 出版时间：31 May 2007
- 卷：243
- 期：2-3
- 页码：299-309
- 文件大小：393 K
摘要
Detailed ground-based quantifications of total carbon stocks in tropical forests are few despite their importance in science and ecosystem management. Carbon stocks in live aboveground and belowground biomass, necromass, and soils were measured in a heterogeneous landscape composed of secondary and primary forest. A total of 110 permanent plots were used to estimate the size of these carbon pools. Local biomass equations were developed and used to estimate aboveground biomass and coarse root biomass for each plot. Herbaceous vegetation, fine roots, coarse and fine litter, and soil carbon to 4 m depth were measured in subplots. In primary forests, mean total carbon stocks (TCS) were estimated as 383.7 ± 55.5 Mg C ha−1 (±S.E.). Of this amount, soil organic carbon to 4 m depth represented 59%, total aboveground biomass 29%, total belowground biomass 10%, and necromass 2%. In secondary forests, TCS was 228.2 ± 13.1 Mg C ha−1, and soil organic carbon to 4 m depth accounted for 84%of this amount. Total aboveground biomass represented only 9%, total belowground biomass 5%, and total necromass 1%of TCS in secondary forests. Monte Carlo methods were used to assess the uncertainty of the biomass measurements and spatial variation. Of the total uncertainty of the estimates of TCS, the variation associated with the spatial variation of C pools between plots was higher than measurement errors within plots. From this study it is concluded that estimates of aboveground biomass largely underestimate total carbon stocks in forest ecosystems. Additionally, it is suggested that heterogeneous landscapes impose additional challenges for their study such as sampling intensity.