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预测未来无历史可比情景下树种再引入策略对碳储量的影响。

Forecasting effects of tree species reintroduction strategies on carbon stocks in a future without historical analog.

机构信息

USDA Forest Service, Northern Research Station, Institute for Applied Ecosystem Studies, Rhinelander, Wisconsin.

Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana.

出版信息

Glob Chang Biol. 2018 Nov;24(11):5500-5517. doi: 10.1111/gcb.14397. Epub 2018 Aug 3.

Abstract

American chestnut (Castanea dentata) was once an important component forests in the central Appalachians (USA), but it was functionally extirpated nearly a century ago. Attempts are underway to reintroduce blight-resistant chestnut to its former range, but it is uncertain how current forest composition, climate, and atmospheric changes and disturbance regimes will interact to determine future forest dynamics and ecosystem services. The combination of novel environmental conditions (e.g. climate change), a reintroduced tree species and new disturbance regimes (e.g. exotic insect pests, fire suppression) have no analog in the past that can be used to parameterize phenomenological models. We therefore used a mechanistic approach within the LANDIS-II forest landscape model that relies on physiological first principles to project forest dynamics as the outcome of competition of tree cohorts for light and water as a function of temperature, precipitation, CO concentration, and life history traits. We conducted a factorial landscape simulation experiment to evaluate specific hypotheses about future forest dynamics in two study sites in the center of the former range of chestnut. Our results supported the hypotheses that climate change would favor chestnut because of its optimal temperature range and relative drought resistance, and that chestnut would be less competitive in the more mesic Appalachian Plateau province because competitors will be less stressed. The hypothesis that chestnut will increase carbon stocks was supported, although the increase was modest. Our results confirm that aggressive restoration is needed regardless of climate and soils, and that increased aggressiveness of chestnut restoration increased biomass accumulation. The hypothesis that chestnut restoration will increase both compositional and structural richness was not supported because chestnut displaced some species and age cohorts. Although chestnut restoration did not markedly enhance carbon stocks, our findings provide hope that this formerly important species can be successfully reintroduced and associated ecosystem services recovered.

摘要

美国山核桃(Castanea dentata)曾经是美国阿巴拉契亚山脉中部森林的重要组成部分,但在近一个世纪前,它已基本消失。目前正在尝试将抗枯萎病的山核桃重新引入其原有的分布区,但目前尚不清楚当前的森林组成、气候和大气变化以及干扰机制将如何相互作用,以确定未来的森林动态和生态系统服务。新的环境条件(如气候变化)、引入的树种和新的干扰机制(如外来虫害、火灾抑制)的结合,在过去没有类似的情况可以用来参数化现象学模型。因此,我们在 LANDIS-II 森林景观模型中采用了一种基于生理原理的机制方法,该方法将森林动态作为树木群体对光和水的竞争结果进行预测,其竞争结果取决于温度、降水、CO2 浓度和生活史特征。我们进行了一个因子景观模拟实验,以评估两个位于山核桃原分布中心的研究点未来森林动态的具体假设。我们的结果支持了以下假设:气候变化将有利于山核桃,因为它的最佳温度范围和相对耐旱性;山核桃在较湿润的阿巴拉契亚高原地区的竞争力将较弱,因为竞争者的压力将较小。山核桃将增加碳储量的假设得到了支持,尽管增加幅度不大。我们的结果证实,无论气候和土壤如何,都需要积极的恢复,而且山核桃恢复的积极性越高,生物量积累就越多。山核桃恢复将增加组成和结构丰富度的假设没有得到支持,因为山核桃取代了一些物种和年龄群体。虽然山核桃的恢复并没有显著增加碳储量,但我们的研究结果表明,这种曾经重要的物种可以成功地重新引入,并恢复相关的生态系统服务。

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