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模拟藤本植物入侵对热带森林的种群动态和碳循环的影响。

Modeling the impact of liana infestation on the demography and carbon cycle of tropical forests.

机构信息

CAVElab - Computational and Applied Vegetation Ecology, Ghent University, Ghent, Belgium.

Ecological Forecasting Lab, Department of Earth and Environment, Boston University, Boston, MA, USA.

出版信息

Glob Chang Biol. 2019 Nov;25(11):3767-3780. doi: 10.1111/gcb.14769. Epub 2019 Sep 11.

Abstract

There is mounting empirical evidence that lianas affect the carbon cycle of tropical forests. However, no single vegetation model takes into account this growth form, although such efforts could greatly improve the predictions of carbon dynamics in tropical forests. In this study, we incorporated a novel mechanistic representation of lianas in a dynamic global vegetation model (the Ecosystem Demography Model). We developed a liana-specific plant functional type and mechanisms representing liana-tree interactions (such as light competition, liana-specific allometries, and attachment to host trees) and parameterized them according to a comprehensive literature meta-analysis. We tested the model for an old-growth forest (Paracou, French Guiana) and a secondary forest (Gigante Peninsula, Panama). The resulting model simulations captured many features of the two forests characterized by different levels of liana infestation as revealed by a systematic comparison of the model outputs with empirical data, including local census data from forest inventories, eddy flux tower data, and terrestrial laser scanner-derived forest vertical structure. The inclusion of lianas in the simulations reduced the secondary forest net productivity by up to 0.46 t  ha  year , which corresponds to a limited relative reduction of 2.6% in comparison with a reference simulation without lianas. However, this resulted in significantly reduced accumulated above-ground biomass after 70 years of regrowth by up to 20 t /ha (19% of the reference simulation). Ultimately, the simulated negative impact of lianas on the total biomass was almost completely cancelled out when the forest reached an old-growth successional stage. Our findings suggest that lianas negatively influence the forest potential carbon sink strength, especially for young, disturbed, liana-rich sites. In light of the critical role that lianas play in the profound changes currently experienced by tropical forests, this new model provides a robust numerical tool to forecast the impact of lianas on tropical forest carbon sinks.

摘要

越来越多的经验证据表明,藤本植物会影响热带森林的碳循环。然而,没有任何单一的植被模型考虑到这种生长形式,尽管这种努力可以大大提高对热带森林碳动态的预测。在这项研究中,我们在一个动态全球植被模型(生态系统动态模型)中纳入了一种新的藤本植物机制表示。我们开发了一种特定于藤本植物的植物功能类型和代表藤本植物与树木相互作用的机制(如光竞争、藤本植物特定的异速生长和与宿主树木的附着),并根据综合文献荟萃分析对其进行了参数化。我们对一个古老的森林(法属圭亚那的帕拉库)和一个次生林(巴拿马的 Gigante 半岛)进行了模型测试。模型模拟结果捕捉到了两个森林的许多特征,这些特征表现为不同程度的藤本植物侵染,这是通过将模型输出与经验数据进行系统比较来揭示的,包括森林清查的本地普查数据、涡动通量塔数据和地面激光扫描得出的森林垂直结构。在模拟中加入藤本植物会使次生林的净生产力降低多达 0.46 t / ha /年,与不包括藤本植物的参考模拟相比,相对减少了 2.6%。然而,这导致了在 70 年的再生后,地上生物量的积累减少了高达 20 t / ha(参考模拟的 19%)。最终,当森林达到一个古老的演替阶段时,模拟的藤本植物对总生物量的负面影响几乎完全被抵消。我们的研究结果表明,藤本植物会对森林潜在的碳汇强度产生负面影响,尤其是对年轻、受干扰、藤本植物丰富的地点。鉴于藤本植物在热带森林目前经历的深刻变化中所起的关键作用,这种新的模型提供了一个强大的数值工具,可以预测藤本植物对热带森林碳汇的影响。

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