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Changes in forest biomass over China during the 2000s and implications for management

机译:2000年代中国森林生物量的变化及其对管理的启示

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By integrating the reflectance of 7 spectral bands of the MODerate-resolution Imaging Spectroradiaometer (MODIS) and forest inventory data with an empirical statistical model, we mapped the spatial distribution of total forest biomass carbon density (BCD) at 1 km resolution in China during the past decade. The empirical statistical model can explain 75% of the variation in BCD across 29 provinces in China (R-2 = 0.75, P 0.001), with a root mean square error of 9.3 Mg C ha(-1). The total forest biomass carbon storage was estimated as 6.4 +/- 0.6 Pg C, with an average BCD of 42.6 +/- 3.9 Mg C ha(-1) during the period of 2001-2005, which is close to the estimates solely by forest inventory data. During the 2000s, the forests in China sequestered carbon by 80 +/- 103 Tg C yr(-1). Our estimation is close to an independent forest biomass estimation (76 +/- 10 Tg C yr(-1)) derived from passive microwave satellites (Liu et al., 2015). Most of the forest biomass carbon sink was attributed to the growth of low- and medium-biomass forests in eastern, central, and southern China. The large area of currently low-biomass forests will retain as a large potential biomass C sink in the next few decades. This implicates that low-biomass forests (most of these forests are planted forests) need well management such as selected wood harvest to keep large forest biomass carbon sinks in China. Plans of sustainable afforestation and forests protection projects by Chinese government could also enhance the forest biomass carbon sinks in the future. Nitrogen deposition in China significantly correlates with forest biomass C sinks across 2392 0.5 degrees x 0.5 degrees grid cells (R = 0.54, P 0.001), which indicate the positive impacts of nitrogen deposition on China's forest biomass carbon sinks. Our results suggest that China forests can continue to act as a large carbon sinks in the near future because of the contributions of management of low- and medium-biomass forests, afforestation and nitrogen deposition. (C) 2015 Elsevier B.V. All rights reserved.
机译:通过将现代分辨率成像光谱仪(MODIS)的7个光谱带的反射率和森林资源调查数据与经验统计模型相结合,我们绘制了中国1 km分辨率森林总生物量碳密度(BCD)的空间分布。上个年代。经验统计模型可以解释中国29个省的BCD变化的75%(R-2 = 0.75,P <0.001),均方根误差为9.3 Mg C ha(-1)。 2001-2005年间,森林总生物量碳储量估计为6.4 +/- 0.6 Pg C,平均BCD为42.6 +/- 3.9 Mg C ha(-1),与仅通过森林清单数据。在2000年代,中国的森林吸收了80 +/- 103 Tg C yr(-1)的碳。我们的估计接近于从被动微波卫星得出的独立的森林生物量估计(76 +/- 10 Tg C yr(-1))(Liu等人,2015)。森林生物量碳汇的大部分归因于中国东部,中部和南部的中低生物量森林的生长。在接下来的几十年中,目前低生物量森林的大面积将作为潜在的生物量碳汇而保留下来。这意味着低生物量森林(这些森林中的大多数是人工林)需要良好的管理,例如选择木材采伐,以保持中国大量的森林生物量碳汇。中国政府的可持续造林和森林保护项目计划也可能在未来增加森林生物量碳汇。中国的氮沉降与2392个0.5度x 0.5度的网格细胞中的森林生物量碳汇显着相关(R = 0.54,P <0.001),这表明氮沉降对中国森林生物量碳汇具有积极影响。我们的结果表明,由于对中低生物量森林的管理,植树造林和氮沉降的贡献,中国森林在不久的将来仍可以继续作为大型碳汇。 (C)2015 Elsevier B.V.保留所有权利。

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