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揭示藤本植物与树木之间光和水分竞争在热带森林中的相对作用:植被模型分析

Unraveling the relative role of light and water competition between lianas and trees in tropical forests: A vegetation model analysis.

作者信息

Meunier Félicien, Verbeeck Hans, Cowdery Betsy, Schnitzer Stefan A, Smith-Martin Chris M, Powers Jennifer S, Xu Xiangtao, Slot Martijn, De Deurwaerder Hannes P T, Detto Matteo, Bonal Damien, Longo Marcos, Santiago Louis S, Dietze Michael

机构信息

Computational and Applied Vegetation Ecology Department of Environment Ghent University Ghent Belgium.

Department of Earth and Environment Boston University Boston MA USA.

出版信息

J Ecol. 2021 Jan;109(1):519-540. doi: 10.1111/1365-2745.13540. Epub 2020 Nov 29.

Abstract

Despite their low contribution to forest carbon stocks, lianas (woody vines) play an important role in the carbon dynamics of tropical forests. As structural parasites, they hinder tree survival, growth and fecundity; hence, they negatively impact net ecosystem productivity and long-term carbon sequestration.Competition (for water and light) drives various forest processes and depends on the local abundance of resources over time. However, evaluating the relative role of resource availability on the interactions between lianas and trees from empirical observations is particularly challenging. Previous approaches have used labour-intensive and ecosystem-scale manipulation experiments, which are infeasible in most situations.We propose to circumvent this challenge by evaluating the uncertainty of water and light capture processes of a process-based vegetation model (ED2) including the liana growth form. We further developed the liana plant functional type in ED2 to mechanistically simulate water uptake and transport from roots to leaves, and start the model from prescribed initial conditions. We then used the PEcAn bioinformatics platform to constrain liana parameters and run uncertainty analyses.Baseline runs successfully reproduced ecosystem gas exchange fluxes (gross primary productivity and latent heat) and forest structural features (leaf area index, aboveground biomass) in two sites (Barro Colorado Island, Panama and Paracou, French Guiana) characterized by different rainfall regimes and levels of liana abundance.Model uncertainty analyses revealed that water limitation was the factor driving the competition between trees and lianas at the drier site (BCI), and during the relatively short dry season of the wetter site (Paracou). In young patches, light competition dominated in Paracou but alternated with water competition between the wet and the dry season on BCI according to the model simulations.The modelling workflow also identified key liana traits (photosynthetic quantum efficiency, stomatal regulation parameters, allometric relationships) and processes (water use, respiration, climbing) driving the model uncertainty. They should be considered as priorities for future data acquisition and model development to improve predictions of the carbon dynamics of liana-infested forests. . Competition for water plays a larger role in the interaction between lianas and trees than previously hypothesized, as demonstrated by simulations from a process-based vegetation model.

摘要

尽管藤本植物(木质藤本)对森林碳储量的贡献较低,但它们在热带森林的碳动态中起着重要作用。作为结构性寄生植物,它们会阻碍树木的存活、生长和繁殖能力;因此,它们会对净生态系统生产力和长期碳固存产生负面影响。竞争(对水和光的竞争)驱动着各种森林过程,并且随着时间的推移取决于当地资源的丰富程度。然而,从实证观察中评估资源可用性对藤本植物与树木之间相互作用的相对作用极具挑战性。以往的方法采用了劳动密集型且在生态系统尺度上的操纵实验,这在大多数情况下是不可行的。我们建议通过评估包含藤本植物生长形式的基于过程的植被模型(ED2)的水分和光照获取过程的不确定性来规避这一挑战。我们在ED2中进一步开发了藤本植物功能类型,以机械地模拟从根部到叶片的水分吸收和运输,并从规定的初始条件启动模型。然后,我们使用PEcAn生物信息学平台来约束藤本植物参数并进行不确定性分析。基线运行成功地再现了两个具有不同降雨模式和藤本植物丰富程度的地点(巴拿马的巴罗科罗拉多岛和法属圭亚那的帕拉库)的生态系统气体交换通量(总初级生产力和潜热)以及森林结构特征(叶面积指数、地上生物量)。模型不确定性分析表明,水分限制是在较干燥地点(BCI)以及在较湿润地点(帕拉库)相对较短的旱季驱动树木与藤本植物之间竞争的因素。在幼龄斑块中,根据模型模拟,在帕拉库光竞争占主导,但在BCI干湿季之间光竞争与水分竞争交替出现。该建模工作流程还确定了驱动模型不确定性的关键藤本植物特征(光合量子效率、气孔调节参数、异速生长关系)和过程(水分利用、呼吸作用、攀爬)。它们应被视为未来数据采集和模型开发的优先事项,以改进对藤本植物侵扰森林碳动态的预测。 正如基于过程的植被模型模拟所表明的那样,对水的竞争在藤本植物与树木之间的相互作用中所起的作用比先前假设的更大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1977/7839527/d61dd38daca5/JEC-109-519-g001.jpg

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