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Dominance and Rarity in Tree Communities Across the Globe: Patterns, Predictors and Threats

Global Ecology and Biogeography(2024)

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Abstract
AimEcological and anthropogenic factors shift the abundances of dominant and rare tree species within local forest communities, thus affecting species composition and ecosystem functioning. To inform forest and conservation management it is important to understand the drivers of dominance and rarity in local tree communities. We answer the following research questions: (1) What are the patterns of dominance and rarity in tree communities? (2) Which ecological and anthropogenic factors predict these patterns? And (3) what is the extinction risk of locally dominant and rare tree species?LocationGlobal.Time period1990-2017.Major taxa studiedTrees.MethodsWe used 1.2 million forest plots and quantified local tree dominance as the relative plot basal area of the single most dominant species and local rarity as the percentage of species that contribute together to the least 10% of plot basal area. We mapped global community dominance and rarity using machine learning models and evaluated the ecological and anthropogenic predictors with linear models. Extinction risk, for example threatened status, of geographically widespread dominant and rare species was evaluated.ResultsCommunity dominance and rarity show contrasting latitudinal trends, with boreal forests having high levels of dominance and tropical forests having high levels of rarity. Increasing annual precipitation reduces community dominance, probably because precipitation is related to an increase in tree density and richness. Additionally, stand age is positively related to community dominance, due to stem diameter increase of the most dominant species. Surprisingly, we find that locally dominant and rare species, which are geographically widespread in our data, have an equally high rate of elevated extinction due to declining populations through large-scale land degradation.Main conclusionsBy linking patterns and predictors of community dominance and rarity to extinction risk, our results suggest that also widespread species should be considered in large-scale management and conservation practices.
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Key words
community,dominance,environmental predictors,forests,macroecology,rarity,species abundance,species population threats
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conservation

要点】:研究揭示了全球树木群落中优势种和稀有种的分布模式、影响因素及其灭绝风险,指出广泛分布的物种同样面临高灭绝风险。

方法】:通过分析120万个森林样方数据,使用机器学习模型绘制了全球树木群落优势度和稀有度的分布图,并利用线性模型评估了生态和人为因素的影响。

实验】:实验使用了1990-2017年的数据,研究了不同纬度森林的优势度和稀有度模式,发现温带森林优势度较高,热带森林稀有度较高,并评估了这些物种的灭绝风险。