关键词: Climate variables Ecosystem functioning Functional diversity Landscape metrics

Mesh : Biodiversity Forests Brazil Carbon / analysis Climate Change Tropical Climate Carbon Cycle Trees

来  源:   DOI:10.1016/j.scitotenv.2024.174156

Abstract:
Tropical forests are global biodiversity hotspots and are crucial in the global carbon (C) cycle. Understanding the drivers of aboveground carbon stock (AGC) in a heterogeneous and biodiverse system can shed light on the processes underlying the relationship between biodiversity and carbon accumulation. Here, we investigate how biodiversity, environment, and landscape structure affect AGC. We examined such associations in 349 plots comprising over 95,346 km2 the Atlantic Forest of southern Brazil, encompassing three forest types: Dense Ombrophylous Forest (DF), Mixed Ombrophylous Forest (MF), and Seasonal Deciduous Forest (SF). Each plot was described by environmental variables, landscape metrics, and biodiversity (species richness and functional diversity). We used diversity, environmental, and landscape variables to build generalized linear mixed models and understand which can affect the forest AGC. We found that species richness is associated positively with AGC in all forest types, combined and separately. Seasonal temperature and isothermality affect AGC in all forest types; additionally, stocks are positively influenced by annual precipitation in SF and isothermality in MF. Among landscape metrics, total fragment edge negatively affects carbon stocks in MF. Our results show the importance of species diversity for carbon stocks in subtropical forests. The climate effect was also relevant, showing the importance of these factors, especially in a world where climate change tends to affect forest stock capacity negatively.
摘要:
热带森林是全球生物多样性的热点地区,在全球碳(C)循环中至关重要。了解异质和生物多样性系统中地上碳储量(AGC)的驱动因素可以阐明生物多样性与碳积累之间关系的基础过程。这里,我们调查生物多样性,环境,景观结构影响AGC。我们在349个地块中检查了此类关联,这些地块包括巴西南部大西洋森林95,346平方公里,包括三种森林类型:密集的全层森林(DF),混合全层森林(MF),和季节性落叶林(SF)。每个地块都由环境变量描述,景观指标,和生物多样性(物种丰富度和功能多样性)。我们利用多样性,环境,和景观变量来建立广义线性混合模型,并了解哪些会影响森林AGC。我们发现,在所有森林类型中,物种丰富度与AGC呈正相关,合并和单独。季节性温度和等温线会影响所有森林类型的AGC;此外,股票受到SF年降水量和MF等温线的积极影响。在景观指标中,总碎片边缘对MF中的碳储量产生负面影响。我们的结果表明,物种多样性对亚热带森林碳储量的重要性。气候效应也是相关的,显示这些因素的重要性,尤其是在一个气候变化往往会对森林蓄积量产生负面影响的世界里。
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