Modelling the impact of ecosystem fragmentation on ecosystem services in the degraded Ethiopian highlands

IF 7.3 2区 环境科学与生态学 Q1 ECOLOGY Ecological Informatics Pub Date : 2025-03-10 DOI:10.1016/j.ecoinf.2025.103100
Tegegne Molla Sitotaw , Louise Willemen , Derege Tsegaye Meshesha , Martha Weldemichael , Andrew Nelson
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Abstract

Humans shape landscapes to optimise food, fibre, and fuel production. These modifications often fragment ecosystems and degrade ecological functions over time, particularly regulating and cultural ecosystem services (ES). Understanding how ecosystem fragmentation influences the temporal dynamics of ES is critical for biodiversity conservation and sustainable management under global environmental and climate change. Despite its importance, the role of fragmentation patterns in shaping ES over time remains underexplored. This study addresses this gap by assessing how fragmentation metrics—ecosystem area, perimeter-area ratio, and patch proximity—impact four key ES (wetland grass biomass, microclimate heat stress regulation, crop pollination, and nature-based tourism) in the degraded Ethiopian highlands. Using spatial generalized additive models (GAMs), we combined fragmentation metrics with relevant biophysical variables to model ES patterns for 2020 and extrapolated back to 2000 with year-specific remote sensing-based predictors. Our results reveal substantial temporal declines in all four ES driven by both linear and non-linear effects of ecosystem fragmentation. Over two decades, reductions in ecosystem area (25 %), increases in the perimeter-area ratio (15 %), and declines in patch proximity (30 %) were strongly associated with significant losses in all four ES. Ecosystem fragmentation not only reduces ES supply but also alters their spatial and temporal distribution. Therefore, incorporating fragmentation dynamics into ES modelling is crucial for accurate and comprehensive assessments of ES distribution. By demonstrating a novel temporal perspective on the relationship between landscape configuration and ES, our findings provide robust, data-driven insights for landscape planning and the development of sustainable conservation strategies in fragmented landscapes.
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模拟退化的埃塞俄比亚高地生态系统破碎化对生态系统服务的影响
人类塑造景观以优化食物、纤维和燃料的生产。随着时间的推移,这些变化往往使生态系统破碎,并使生态功能退化,特别是调节和文化生态系统服务(ES)。了解生态系统破碎化如何影响生态系统的时间动态,对于全球环境和气候变化下的生物多样性保护和可持续管理至关重要。尽管它很重要,但随着时间的推移,碎片化模式在形成ES中的作用仍未得到充分探索。本研究通过评估破碎化指标——生态系统面积、周长面积比和斑块邻近度——如何影响退化的埃塞俄比亚高地的四个关键生态系统(湿地草生物量、小气候热胁迫调节、作物授粉和基于自然的旅游)来解决这一空白。利用空间广义加性模型(GAMs),我们将碎片化指标与相关生物物理变量相结合,对2020年的ES模式进行了建模,并利用基于特定年份的遥感预测因子外推至2000年。我们的研究结果表明,在线性和非线性生态系统破碎化效应的驱动下,所有四种生态系统在时间上都出现了实质性的下降。在过去的20年里,生态系统面积的减少(25%)、周长面积比的增加(15%)和斑块接近度的下降(30%)与所有四个生态系统的显著损失密切相关。生态系统破碎化不仅减少了生态系统资源的供给,而且改变了生态系统资源的时空分布。因此,将破碎动力学纳入ES模型对于准确和全面评估ES分布至关重要。通过展示景观配置与生态系统之间关系的新颖时间视角,我们的研究结果为景观规划和破碎景观中可持续保护策略的发展提供了强有力的数据驱动见解。
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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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