Suppr超能文献

尽管氮限制,大气 CO2 增加导致森林碳储存增加:氮和光竞争下树木的博弈论分配模型。

Increased forest carbon storage with increased atmospheric CO2 despite nitrogen limitation: a game-theoretic allocation model for trees in competition for nitrogen and light.

机构信息

Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ, 08544, USA.

出版信息

Glob Chang Biol. 2015 Mar;21(3):1182-96. doi: 10.1111/gcb.12783. Epub 2014 Dec 18.

Abstract

Changes in resource availability often cause competitively driven changes in tree allocation to foliage, wood, and fine roots, either via plastic changes within individuals or through turnover of individuals with differing strategies. Here, we investigate how optimally competitive tree allocation should change in response to elevated atmospheric CO2 along a gradient of nitrogen and light availability, together with how those changes should affect carbon storage in living biomass. We present a physiologically-based forest model that includes the primary functions of wood and nitrogen. From a tree's perspective, wood is an offensive and defensive weapon used against neighbors in competition for light. From a biogeochemical perspective, wood is the primary living reservoir of stored carbon. Nitrogen constitutes a tree's photosynthetic machinery and the support systems for that machinery, and its limited availability thus reduces a tree's ability to fix carbon. This model has been previously successful in predicting allocation to foliage, wood, and fine roots along natural productivity gradients. Using game theory, we solve the model for competitively optimal foliage, wood, and fine root allocation strategies for trees in competition for nitrogen and light as a function of CO2 and nitrogen mineralization rate. Instead of down-regulating under nitrogen limitation, carbon storage under elevated CO2 relative to carbon storage at ambient CO2 is approximately independent of the nitrogen mineralization rate. This surprising prediction is a consequence of both increased competition for nitrogen driving increased fine root biomass and increased competition for light driving increased allocation to wood under elevated CO2 .

摘要

资源可利用性的变化常常导致树木在叶片、木材和细根之间的分配发生竞争驱动的变化,这既可以通过个体内部的可塑性变化来实现,也可以通过具有不同策略的个体的更替来实现。在这里,我们研究了在氮和光可利用性梯度上,大气 CO2 升高时,树木的最优竞争分配应该如何变化,以及这些变化应该如何影响活生物质中的碳储存。我们提出了一个基于生理学的森林模型,该模型包括木材和氮的主要功能。从树木的角度来看,木材是一种进攻性和防御性武器,用于与邻居竞争光。从生物地球化学的角度来看,木材是储存碳的主要活体储库。氮构成了树木的光合作用机器和该机器的支撑系统,而氮的有限可利用性降低了树木固定碳的能力。该模型以前在预测叶片、木材和细根在自然生产力梯度上的分配方面取得了成功。我们使用博弈论,根据 CO2 和氮矿化率,为树木在氮和光竞争中的竞争最优叶片、木材和细根分配策略进行了模型求解。与在大气 CO2 下的碳储存相比,在升高的 CO2 下,氮矿化率下的碳储存并没有下调。这种出人意料的预测是由于对氮的竞争加剧导致细根生物量增加,以及对光的竞争加剧导致在升高的 CO2 下木材分配增加的双重结果。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验