巴西亚马逊河南部森林砍伐边界小体型哺乳动物功能多样性的驱动因素

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Manoel Santos-Filho, Thalita Ribeiro, Dionei José da Silva, Juliano A. Bogoni, Ana Filipa Palmeirim
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引用次数: 0

摘要

砍伐森林仍然是热带森林生物多样性受到侵蚀的最普遍驱动因素。了解物种如何应对这种栖息地变化对迅速扩张的农业疆界尤为重要。为此,我们从功能角度出发,研究了巴西亚马逊南部 "森林砍伐弧 "上的小型哺乳动物对栖息地丧失、破碎化和退化的反应。除了两个相对连续的森林点(7000 公顷)外,我们还在 20 个森林片段(面积从 42 公顷到 4743 公顷不等)中使用传统陷阱和坑式陷阱对小型哺乳动物进行了调查。这些森林片区被不同放牧强度的牛群牧场隔离开来。然后,我们在包含局部到景观尺度变异预测因子的广义线性模型中分析了分类和功能多样性模式--以辛普森多样性指数和拉奥二次熵指数为代表。此外,我们还使用了基于群落加权平均性状值的功能性状组成方法,来描述和预测这一退化梯度上小型哺乳动物的功能变异。在记录到的属于 24 个分类群的 847 个个体中,功能反应往往与分类群的多样性相一致,两者都随着片段面积的增加而增加。与火灾相关的低干扰进一步促进了功能维度。功能特征组成主要受栖息地质量的影响,栖息地质量由树木密度、节肢动物生物量和火灾相关干扰决定。我们的研究结果证实,小片森林在分类和功能上都能维持贫瘠的小型哺乳动物群落。对栖息地质量的考虑进一步提高了各功能群的持久性。我们的研究结果可用于提高管理实践的效率,从而在热带森林砍伐的前沿最大限度地提高小型哺乳动物多样性及其相关生态系统服务的多个层面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Drivers of functional diversity in small-bodied mammals across a deforestation frontier in the Southern Brazilian Amazon

Drivers of functional diversity in small-bodied mammals across a deforestation frontier in the Southern Brazilian Amazon

Deforestation remains the most pervasive driver of biodiversity erosion across tropical forests. Understanding how species can cope with such habitat changes is particularly important along the rapidly expanding agricultural frontiers. To do so, we used a functional perspective examining small mammal responses to habitat loss, fragmentation, and degradation across the ‘Arc of Deforestation’ in the Southern Brazilian Amazon. Small mammals were surveyed using a combination of conventional and pitfall traps across 20 forest fragments—ranging from 42 to 4743 ha—in addition to two relatively continuous forest sites (> 7000 ha). These fragments lie isolated by a cattle pasture matrix of varying grazing intensity. We then analysed taxonomic and functional diversity patterns—represented by Simpson Diversity and Rao Quadratic entropy indices—in Generalised Linear Models containing local- to landscape-scale predictors of variation. Further, we used a functional trait composition approach based on community-weighted mean trait values to depict and predict small mammal functional variations across this degradation gradient. From a total of 847 individuals recorded belonging to 24 taxa, functional responses tended to follow the taxonomic diversity, both increasing with fragment area. The functional dimension further was promoted by low fire-related disturbance. Functional trait composition was mainly driven by habitat quality, represented by tree density, arthropod biomass, and fire-related disturbance. Our results reinforce that small forest fragments sustain depauperate small mammal assemblages both taxonomically and functionally. Accounting for habitat quality further allows for boosting the persistence across functional groups. Our findings can be used to improve the efficiency of management practices thereby maximising the multiple dimensions of small mammal diversity and their associated ecosystem services across tropical deforestation frontiers.

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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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