揭示中国千岛湖沿河支流大型无脊椎动物生态独特性的模式和驱动因素以制定保护规划

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-10-01 DOI:10.1016/j.ecolind.2024.112652
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引用次数: 0

摘要

贝塔多样性已成为保护工作中的一个关键因素,特别是通过测量当地对贝塔多样性的贡献(LCBD),其在保护规划中的价值日益得到认可。本研究调查了中国千岛湖流域 147 个采样点的分类、功能和系统发育 LCBD 的分布、相互关系和决定因素,并探索了该地区对贝塔多样性贡献最大的类群(SCBD)。通过采用基于距离的方法,我们在大型无脊椎动物和环境数据的基础上,应用了一个结合生物和非生物独特性(对环境异质性的局部贡献,LCEH)的框架,以加强该地区的生态保护和恢复策略。我们的研究结果表明(1) 生物独特性与非生物独特性之间存在明显的相关性,而生物独特性与非生物独特性之间的相关性不明显,这强调了同时考虑非生物独特性和生物独特性的重要性;(2) pH 值、氮磷比(NPR)和溪流宽度等关键理化因素对 LCBD 有明显影响;(3) 生物独特性与物种丰富度之间存在明显的负相关,表明独特性高的区域可能需要更有针对性的恢复工作;(4) 保护约 35-50% 的采样点可保留该区域约 60% 的生态独特性。通过将生物群落数据与稳定的环境特征相结合,这种综合方法有望有效指导未来的保护和恢复工作。要进一步探索环境因素与低海拔生物多样性之间的相互作用,并在不同的生态和地理环境中将这种方法与元群落理论相结合,就必须继续开展研究。
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Uncovering patterns and drivers of macroinvertebrate ecological uniqueness for conservation planning in riverine tributaries of Thousand Islands Lake, China
Beta diversity has emerged as a crucial factor in conservation efforts, particularly through the measurement of local contributions to beta diversity (LCBD), which is increasingly recognized for their value in conservation planning. This study investigated the distribution, interrelationships, and determinants of taxonomic, functional, and phylogenetic LCBD from 147 sampling sites in the Thousand Islands Lake catchment in China, and explored the taxa that contribute most to beta diversity (SCBD) in the region. By adopting distance-based methods, we applied a framework combining biotic and abiotic uniqueness (local contributions to environmental heterogeneity, LCEH) based on macroinvertebrate and environmental data to enhance ecological conservation and restoration strategies within the region. Our findings indicate: (1) significant correlations between biotic uniqueness and insignificant correlations between biotic and abiotic uniqueness emphasize the importance of simultaneously considering abiotic and biotic uniqueness; (2) key physicochemical factors such as pH, nitrogen-to-phosphorus ratio (NPR), and stream width significantly influence LCBD; (3) a significant negative correlation between biotic uniqueness and species richness, suggesting that areas of high uniqueness may require more targeted restoration efforts; (4) protecting approximately 35–50% of the sampling sites preserves about 60% of the area’s ecological uniqueness. This integrative approach promises to guide future conservation and restoration initiatives effectively by combining biological community data with stable environmental characteristics. Continued research is essential to further explore the interplay between environmental factors and LCBD, and to integrate this approach with metacommunity theory across diverse ecological and geographical contexts.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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