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首页> 外文期刊>Journal of Geophysical Research. Biogeosciences >Mapping forest stand age in China using remotely sensed forest height and observation data
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Mapping forest stand age in China using remotely sensed forest height and observation data

机译:利用遥感森林高度和观测数据绘制中国林分年龄图

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摘要

Forest stand age plays a crucial role in determining the terrestrial carbon source or sink strength and reflects major disturbance information. Forests in China have changed drastically in recent decades, but quantification of spatially explicit forest age at national level has been lacking to date. This study generated a national map of forest age at 1 km spatial resolution using the remotely sensed forest height and forest type data in 2005, aswell as relationships between age and height retrieved from field observations. These relationships include biomass as an intermediate parameter for major forest types in different regions of China. Biomass-height and age-biomass relationshipswerewell fitted using field observations, with respective R2 values greater than 0.60 and 0.71 (P<0.01), indicating the viability of age-height relationships developed for age estimation in China. The resulting map was evaluated by comparison with national, provincial, and county forest inventories. The validation had high regional (R2=0.87, 2-8 years errors in six regions), provincial (R2 = 0.53, errors less than 10 years and consistent age structure in most provinces), and plot (R2 values of 0.16-0.32, P<0.01) agreement between map values and inventory-based estimates. This confirms the reliability and applicability of the age-height approach demonstrated in this study for quantifying forest age over large regions. The map reveals a large spatial heterogeneity of forest age in China: old in southwestern, northwestern, and northeastern areas, and young in southern and eastern regions.
机译:林分年龄在确定陆地碳源或碳汇强度方面起着至关重要的作用,并反映出主要的干扰信息。近几十年来,中国的森林发生了翻天覆地的变化,但是迄今为止,还没有在国家一级对空间上明确的森林年龄进行量化。这项研究使用2005年的遥感森林高度和森林类型数据,以及从野外观测中获得的年龄与高度之间的关系,以1 km空间分辨率绘制了一张全国森林年龄图。这些关系包括生物量作为中国不同地区主要森林类型的中间参数。通过实地观察,生物量-高度和年龄-生物量之间的关系得到了很好的拟合,其R2值分别大于0.60和0.71(P <0.01),表明了中国建立的年龄-高度关系的可行性。通过与国家,省和县的森林清单进行比较来评估生成的地图。验证具有较高的区域性(R2 = 0.87,六个区域2-8年的误差),省级(R2 = 0.53,误差小于10年且大多数省份的年龄结构一致)和曲线图(R2值为0.16-0.32, P <0.01)地图价值与基于库存的估算值之间的一致性。这证实了本研究中用于量化大区域森林年龄的年龄高度方法的可靠性和适用性。该地图揭示了中国森林年龄的巨大空间异质性:西南,西北和东北地区较老,而南部和东部地区则较年轻。

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