Using PLS-SEM models to explore the interactions of meteorology and landscape pattern changes on waterbird diversity: A case of the Liaohe Estuary

IF 7.3 2区 环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2025-01-19 DOI:10.1016/j.ecoinf.2025.103022
Xiuzhong Li , Baocun Ji , Na Li , Christopher J. Anderson , Qiuying Chen
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Abstract

Waterbirds are highly sensitive to environmental quality, with climate and landscape patterns being the two most important factors for influencing waterbird diversity. Understanding the effects of climate and landscape may lead to more effective policies and management strategies. This study focused on theinteractions of meteorological factors and landscape patterns on waterbird diversity in the Liaohe Estuary, an internationally important wetland system in northeast China and an important habitat for waterbirds on the East-Asian and Australasian flyway. Waterbird abundance and species richness (2010−2022) were related to meteorological factors represented by annual mean temperature and annual precipitation and various measures of landscape fragmentation caused by human land uses and natural landscapes. Structural equation models were constructed using four latent variables: waterbird abundance or richness, human activities, natural landscape, and meteorology, and the models were estimated through uncertainty and sensitivity analysis. The results showed that (1) landscape fragmentation of human activities (abundance model = 0.606, richness model = 0.719) was higher than the natural landscape (abundance model = 0.596, richness model = 0.703) with climate warming and precipitation decreasing, human activities were the strongest factors for natural landscape fragmentation (abundance model = 0.807, richness model = 0.803). (2) Meteorology (0.647) and human activities (0.679) showed nearly identical effects on waterbird abundance, while the natural landscape showed the largest effects (0.908) on waterbird richness, meteorology still showed similar effects (0.665), climate and landscape finally observed positive influences. (3) The combined effects of climate and landscape on abundance were higher than richness, the Charadriiformers and Lariformes groups showing a stronger response in both abundance and richness compared to the Podicipediformes, Pelecaniformes, and Anseriformes group. Based on these findings, we suggest that climate had more consistent total effects on waterbird abundance and richness than landscape. As long as landscape fragmentation remains below the waterbirds' tolerance threshold, it can benefit both waterbird abundance and richness by providing more ecotones and wider inches for the waterbirds adapting to climate changes. Moderate human activities leading to natural landscape fragmentation may also have direct and indirect benefits for waterbird abundance. However, this study doesn't clarify the different waterbird tolerance values or the mechanism through which climate and landscape changes affect different orders of waterbirds, and the spatial ecological corridor and the ecological flow among different sample points were ignored, both of which will be well worth exploring in the future.
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利用PLS-SEM模式探讨气象和景观格局变化对水鸟多样性的影响——以辽河河口为例
水鸟对环境质量高度敏感,气候和景观格局是影响水鸟多样性的两个最重要因素。了解气候和景观的影响可能会导致更有效的政策和管理策略。辽河河口是中国东北地区重要的国际湿地系统,也是东亚和澳大拉西亚重要的水鸟栖息地。本文研究了气象因子和景观格局对辽河河口水鸟多样性的影响。水鸟丰度和物种丰富度(2010 ~ 2022年)与以年平均气温和年降水为代表的气象因子以及人类土地利用和自然景观造成的景观破碎化措施有关。利用水鸟丰度、人类活动、自然景观和气象4个潜在变量构建结构方程模型,并通过不确定性和敏感性分析对模型进行估算。结果表明:(1)随着气候变暖和降水减少,人类活动对自然景观破碎化的影响(丰度模型= 0.606,丰富度模型= 0.719)大于自然景观(丰度模型= 0.596,丰富度模型= 0.703),人类活动是自然景观破碎化的最强因子(丰度模型= 0.807,丰富度模型= 0.803)。(2)气象(0.647)和人类活动(0.679)对水鸟丰度的影响基本一致,其中自然景观对水鸟丰度的影响最大(0.908),气象(0.665)对水鸟丰度的影响相似,气候和景观最终呈现正向影响。(3)气候和景观对丰度的综合影响大于丰富度,鞘翅目和翼形目对丰度和丰富度的响应均强于足足目、镜形目和雁形目。基于这些发现,我们认为气候对水鸟数量和丰富度的总体影响比景观更一致。只要景观破碎化保持在水鸟的耐受阈值以下,就可以通过为水鸟适应气候变化提供更多的过渡带和更宽的英寸,从而使水鸟的丰度和丰富度都受益。适度的人类活动导致自然景观破碎化,也可能对水鸟数量有直接和间接的好处。然而,本研究并未明确水鸟容忍度的差异以及气候和景观变化对不同阶水鸟的影响机制,且忽略了不同样点间的空间生态廊道和生态流,这些都值得未来进一步探索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Ecological Informatics
Ecological Informatics 环境科学-生态学
CiteScore
8.30
自引率
11.80%
发文量
346
审稿时长
46 days
期刊介绍: The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change. The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.
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