The role of species traits and forest structure on spatial carbon dynamics of temperate forests

物种性状和森林结构对温带森林空间碳动态的作用

• 批准号: 431504473
• 负责人: Professor Dr. Andreas Huth
• 金额: --
• 依托单位: Department Ökologische Systemanalyse
• 依托单位国家: 德国
• 项目类别: Research Grants
• 资助国家: 德国
• 项目状态: 未结题
• 来源: https://gepris.dfg.de/gepris/projekt/431504473?language=en
• 关键词: role; species; traits; forest; structure

Forests play a major role in the global carbon cycle. There has been a long debate under which conditions forests are a source or sink of carbon. For determining forest carbon stocks and their dynamics at large scales, local-scale heterogeneities have to be considered. Spatially heterogeneous distributed carbon stocks are often a result of heterogeneous distribution of tree species structuring the forest vertically and horizontally. However, the role of tree species and their traits on local and regional carbon stocks and dynamics in forests is so far not comprehensively understood. Here, we combine field observations with forest modelling in order to examine how species traits and their variability structure heterogeneous forests. For study sites of species-rich temperate forests in China (two large plots of 25 and 24 ha, 13 plots of 4-0.5 ha) we will characterize spatial patterns of forest biomass and productivity and its correlation with species traits and forest structure. By extending and applying an individual-based forest gap model including a novel trait distribution approach, we will analyse forest carbon dynamics (e.g. gross and net primary production, net ecosystem exchange) at the large (e.g. 25 ha) and local scale, and explore how trait distributions impact forest carbon stocks and dynamics. In an additional analysis, we will take a step towards advances in combining forest modelling with remote sensing by restricting our studies to canopy-level trees including LiDAR campaigns. The vision behind this is to find a minimal set of required information derived by remote sensing to apply forest models to a broad range of different forest types.

森林在全球碳循环中发挥着重要作用。在何种条件下森林是碳源还是碳汇，一直存在着长期的争论。为了确定大尺度上的森林碳储量及其动态，必须考虑当地尺度的不均匀性。碳储量的空间异质分布往往是构成森林的树种在垂直和水平方向上的异质分布的结果。然而，树种及其特征对当地和区域森林碳储存和动态的作用迄今尚未得到全面理解。在这里，我们结合联合收割机实地观察与森林建模，以研究如何物种性状及其变异结构异质森林。对于中国物种丰富的温带森林的研究地点（25和24公顷的两个大型地块，4-0.5公顷的13个地块），我们将描述森林生物量和生产力的空间格局及其与物种性状和森林结构的相关性。通过扩展和应用基于个体的森林林隙模型，包括一种新的性状分布方法，我们将分析森林碳动态（例如毛和净初级生产力，净生态系统交换）在大（例如25公顷）和地方尺度，并探讨性状分布如何影响森林碳储量和动态。在另一项分析中，我们将通过将我们的研究限制在包括激光雷达活动在内的树冠层树木上，朝着森林建模与遥感相结合的方向迈出一步。这背后的设想是找到一套由遥感获得的最低限度的必要信息，以便将森林模型应用于广泛的不同森林类型。