Dominance of rock exposure and soil depth in leaf trait networks outweighs soil quality in karst limestone and dolomite habitats

IF 3.8 1区 农林科学 Q1 FORESTRY Forest Ecosystems Pub Date : 2024-01-01 DOI:10.1016/j.fecs.2024.100220
Min Jiao, Jiawei Yan, Ying Zhao, Tingting Xia, Kaiping Shen, Yuejun He
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Abstract

Leaf trait networks (LTNs) visualize the intricate linkages reflecting plant trait-functional coordination. Typical karst vegetation, developed from lithological dolomite and limestone, generally exhibits differential communities, possibly due to habitat rock exposure, soil depth, and soil physicochemical properties variations, leading to a shift from plant trait variation to functional linkages. However, how soil and habitat quality affect the differentiation of leaf trait networks remains unclear. LTNs were constructed for typical dolomite and limestone habitats by analyzing twenty-one woody plant leaf traits across fifty-six forest subplots in karst mountains. The differences between dolomite and limestone LTNs were compared using network parameters. The network association of soil and habitat quality was analyzed using redundancy analysis (RDA), Mantle's test, and a random forest model. The limestone LTN exhibited significantly higher edge density with lower diameter and average path length when compared to the dolomite LTN. It indicates LTN differentiation, with the limestone network displaying a more compact architecture and higher connectivity than the dolomite network. The specific leaf phosphorus and leaf nitrogen contents of dolomite LTN, as well as the leaf mass and leaf carbon contents of limestone LTN, significantly contributed to network degree and closeness, serving as crucial node traits regulating LTN connectedness. Additionally, both habitat LTNs significantly correlated with soil nitrogen and phosphorus, stoichiometric ratios, pH, and organic carbon, as well as soil depth and rock exposure rates, with soil depth and rock exposure showing greater relative importance. Soil depth and rock exposure dominate trait network differentiation, with the limestone habitat exhibiting a more compact network architecture than the dolomite habitat.

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岩溶石灰岩和白云岩栖息地的叶片性状网络中,岩石暴露和土壤深度的优势大于土壤质量的优势
叶片性状网络(LTN)将反映植物性状与功能协调的复杂联系形象化。典型的岩溶植被发育自岩性白云岩和石灰岩,通常表现出不同的群落,这可能是由于栖息地岩石裸露、土壤深度和土壤理化性质的变化,导致植物性状变异向功能联系转变。然而,土壤和生境质量如何影响叶片性状网络的分化仍不清楚。通过分析喀斯特山区 56 个森林小区的 21 种木本植物叶片性状,构建了典型白云岩和石灰岩生境的叶片性状网络。利用网络参数比较了白云岩和石灰岩 LTN 的差异。使用冗余分析(RDA)、曼特尔检验和随机森林模型分析了土壤和生境质量的网络关联。与白云石LTN相比,石灰岩LTN的边缘密度明显较高,直径和平均路径长度较低。这表明 LTN 存在分化,石灰岩网络比白云岩网络结构更紧凑,连通性更高。白云石LTN的特定叶磷和叶氮含量,以及石灰岩LTN的叶片质量和叶碳含量对网络度和紧密度有显著影响,是调节LTN连通性的关键节点特征。此外,两种生境的LTN都与土壤氮磷、化学计量比、pH值、有机碳以及土壤深度和岩石裸露率显著相关,其中土壤深度和岩石裸露率的相对重要性更大。土壤深度和岩石暴露率在性状网络分化中占主导地位,石灰岩栖息地的网络结构比白云岩栖息地更为紧凑。
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来源期刊
Forest Ecosystems
Forest Ecosystems Environmental Science-Nature and Landscape Conservation
CiteScore
7.10
自引率
4.90%
发文量
1115
审稿时长
22 days
期刊介绍: Forest Ecosystems is an open access, peer-reviewed journal publishing scientific communications from any discipline that can provide interesting contributions about the structure and dynamics of "natural" and "domesticated" forest ecosystems, and their services to people. The journal welcomes innovative science as well as application oriented work that will enhance understanding of woody plant communities. Very specific studies are welcome if they are part of a thematic series that provides some holistic perspective that is of general interest.
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