Assessing the status of ecosystem regulating services in the urbanising Rainforest and Guinea savanna ecological regions of Nigeria using InVEST models

IF 6 2区工程技术 Q1 ENVIRONMENTAL SCIENCES

Urban Climate Pub Date : 2025-04-11 DOI:10.1016/j.uclim.2025.102410

Rotimi Oluseyi Obateru , Appollonia Aimiosino Okhimamhe , Olutoyin Adeola Fashae , Adeyemi Oludapo Olusola , Deirdre Dragovich , Christopher Conrad

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引用次数: 0

Abstract

Maintaining an equilibrium between the rapid pace of urbanisation and the demand for urban ecological well-being amid climate change remains a global challenge. This study integrates machine learning and geospatial techniques with biophysical models to investigate the changes in ecosystem regulating services (ERS), such as carbon stock and climate regulation, in cities of the Rainforest (Akure and Owerri) and Guinea savanna (Makurdi and Minna) ecological regions of Nigeria in 2002 and 2022. Landsat images were processed using the random forest (RF) machine learning classifier, with the Normalised Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) serving as indicators of landscape changes. The Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) platform was deployed to assess carbon storage and sequestration, and cooling and heat mitigation (HMI) services. Urban and agricultural expansion was associated with a drastic depletion of ERS within a 5 km–10 km radius of the urban core, resulting in an 8.60 %–33.83 % decline in carbon stock and a 5 %–13 % decline in HMI across cities. Correlation and geographically weighted regression models revealed that in the Rainforest (Akure and Owerri), carbon sequestration and heat mitigation are more influenced by LST, with strong correlations in Akure (r = 0.499) and Owerri (r = 0.408). In the Guinea savanna, carbon sequestration pattern in Makurdi is influenced by LST (r = 0.419), while Minna shows a stronger influence of NDVI on both carbon stock and heat mitigation. This highlights the influence of urbanisation and ecological variations in providing urban ERS and underscores the importance of enhancing vegetation biomass through existing urban and rural afforestation frameworks and sustainable agricultural practices. These measures are crucial for improving carbon stock, enhancing the heat mitigation potential of urban areas, and mitigating the impacts of further climate change.

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利用 InVEST 模型评估尼日利亚城市化雨林和几内亚热带草原生态区生态系统调节服务的状况

在气候变化背景下，保持快速城市化与城市生态健康需求之间的平衡仍然是一项全球性挑战。本研究将机器学习和地理空间技术与生物物理模型相结合，研究了2002年和2022年尼日利亚热带雨林（Akure和Owerri）和几内亚稀树草原（Makurdi和Minna）生态区城市的生态系统调节服务（ERS）的变化，如碳储量和气候调节。使用随机森林（RF）机器学习分类器对Landsat图像进行处理，以归一化植被指数（NDVI）和地表温度（LST）作为景观变化的指标。部署了生态系统服务与权衡综合评估（InVEST）平台来评估碳储存和固存以及冷却和减热（HMI）服务。城市和农业扩张与城市核心半径5公里至10公里范围内ERS的急剧枯竭相关，导致城市碳储量下降8.60%至33.83%，HMI下降5%至13%。相关性和地理加权回归模型显示，热带雨林（Akure和Owerri）的固碳和减热更受地表温度的影响，其中Akure （r = 0.499）和Owerri （r = 0.408）的相关性较强。在几内亚热带稀树草原，马库尔迪的固碳模式受地表温度的影响（r = 0.419），而Minna的NDVI对碳储量和热缓解的影响都更强。这突出了城市化和生态变化对提供城市可再生资源的影响，并强调了通过现有的城乡造林框架和可持续农业做法提高植被生物量的重要性。这些措施对于改善碳储量、增强城市地区的减热潜力以及减轻进一步气候变化的影响至关重要。

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来源期刊

Urban Climate Social Sciences-Urban Studies

CiteScore

9.70

自引率

9.40%

发文量

286

期刊介绍： Urban Climate serves the scientific and decision making communities with the publication of research on theory, science and applications relevant to understanding urban climatic conditions and change in relation to their geography and to demographic, socioeconomic, institutional, technological and environmental dynamics and global change. Targeted towards both disciplinary and interdisciplinary audiences, this journal publishes original research papers, comprehensive review articles, book reviews, and short communications on topics including, but not limited to, the following: Urban meteorology and climate[...] Urban environmental pollution[...] Adaptation to global change[...] Urban economic and social issues[...] Research Approaches[...]