High rates of primary production in structurally complex forests
High rates of primary production in structurally complex forests
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DOI：
10.1002/ecy.2864
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发表时间：
2019-08-30
期刊：
影响因子：
4.8
通讯作者：
Hardiman, Brady S.
中科院分区：
文献类型：
--
作者：
Gough, Christopher M.;Atkins, Jeff W.;Hardiman, Brady S.
结构-功能关系是许多生态范式的核心。其中最主要的是净初级生产力(NPP)与物种多样性和冠层结构之间的联系。利用国家生态观测网(NEON)作为一个次大陆尺度的研究平台，我们研究了温带森林NPP与立地水平冠层结构和树种多样性的几个指标之间的关系。描述结构复杂性的新的多维冠层特征，尤其是冠层粗糙度，与物种多样性指标和其他共同特征的冠层结构特征相比，与立地净初级生产力的相关性更强。仅由冠层粗糙度解释的立地水平净初级生产力的变异量为83%，大大大于由植被面积指数(31%)或物种多样性指数(30%)单独解释的变异量。结构更复杂、植被面积指数更高、或更多样化的森林吸收更多的光，并更有效地利用光来为生物质生产提供动力，但这些关系与结构复杂性关系最密切。对生态系统建模和管理的影响是广泛的，表明结构复杂性特征是NPP的广泛的、机械上可靠的指标，在应用中可以改善对温带森林碳汇的预测和管理。
Structure-function relationships are central to many ecological paradigms. Chief among these is the linkage of net primary production (NPP) with species diversity and canopy structure. Using the National Ecological Observatory Network (NEON) as a subcontinental-scale research platform, we examined how temperate-forest NPP relates to several measures of site-level canopy structure and tree species diversity. Novel multidimensional canopy traits describing structural complexity, most notably canopy rugosity, were more strongly related to site NPP than were species diversity measures and other commonly characterized canopy structural features. The amount of variation in site-level NPP explained by canopy rugosity alone was 83%, which was substantially greater than that explained individually by vegetation area index (31%) or Shannon's index of species diversity (30%). Forests that were more structurally complex, had higher vegetation-area indices, or were more diverse absorbed more light and used light more efficiently to power biomass production, but these relationships were most strongly tied to structural complexity. Implications for ecosystem modeling and management are wide ranging, suggesting structural complexity traits are broad, mechanistically robust indicators of NPP that, in application, could improve the prediction and management of temperate forest carbon sequestration.