Promoting ecological restoration of deeply urbanized hilly areas: A multi-scale ecological networks approach

Lu, Jie; Jiao, Sheng; Han, Zongwei; Jing-wen, Yin

doi:10.1016/j.ecolind.2023.110655

Cited by 14 publications

(3 citation statements)

References 58 publications

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“…The use and processing of natural resources is estimated to cause up to 90% of global biodiversity loss [36]. Building construction can contribute to the regeneration of nature by incorporating strategies that support ecological restoration, biodiversity enhancement, and sustainable land management practices [37][38][39]. The aforementioned biological cycle contributes to biodiversity and ecosystem health by promoting the use of renewable materials that can be regrown and replenished [40].…”

Section: Regenerate Naturementioning

confidence: 99%

Circular Material Usage Strategies and Principles in Buildings: A Review

Santos,

Cervantes,

Zaragoza-Benzal

et al. 2024

Buildings

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Building construction accounts for a significant proportion of global greenhouse gas emissions, raw material extraction, and waste production. Applying circular economy (CE) principles in the building construction industry would considerably reduce these values. However, uptake by the industry is relatively slow, which is largely attributed to sectoral barriers, including limitations in knowledge and experience. This review paper aims to assess and contribute to diminishing these obstacles by offering a comprehensive review of circular material usage principles and strategies within the construction sector. Opportunities and facilitators of change are also presented, including innovations and emerging technologies in recycling, digitization, robotic systems, novel materials, and processing. Finally, four case studies demonstrate the application of circular theory via a novel block system, recycled aggregate, modular kitchen reuse, and an energy efficiency retrofit. The conclusions show that future efforts should prioritize the development of strong regulatory frameworks, awareness initiatives, and international cooperation. In this regard, the integration of technological advancements, such as AI, robotics, and blockchain, is essential for optimizing waste management efficiency. Furthermore, education on circular practices plays a critical role. Through global collaboration, standardizing circular construction approaches can promote a more sustainable and resilient building construction industry.

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Section: Regenerate Naturementioning

confidence: 99%

Circular Material Usage Strategies and Principles in Buildings: A Review

Santos,

Cervantes,

Zaragoza-Benzal

et al. 2024

Buildings

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“…Another method involves estimating the value of natural ecosystems, which includes direct market valuation methods and stated preference methods, such as ecosystem functions [22] or value [23], ecosystem health [24], ecosystem service [25], and habitat quality evaluation [25]. Ecological corridors are identified through the connectivity model, such as the minimum cumulative resistance model [26,27], circuit theory [22,25], graph theory and network analysis [28,29], and morphologic spatial pattern analysis [18,30]. However, several authors have noted that further exploration is needed to understand non-utilitarian benefits, primarily provided by regulating and cultural services, as well as to determine the complete value of ecosystem services.…”

Section: Introductionmentioning

confidence: 99%

Constructing Ecological Networks Based on Ecosystem Services and Network Analysis in Chongqing, China

Yang,

Yan,

Wang

et al. 2024

Land

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Ecological networks in mountainous regions are vital for enhancing ecosystem functionality and ensuring regional ecological stability, alleviating the contradiction between land use and ecological development in rapid urbanization. However, the complexity of mountains and the need to establish a connection between ecosystem services and human well-being present significant challenges in constructing ecological networks. This study proposes an idea that identifies and derives an optimal scenario for ecological networks, integrating insights from ecosystem services and network analysis. The aim of the ecological network is to improve and protect the ecosystem’s stability while better guiding sustainable development in mountainous regions’ urban and rural areas. This study uses qualitative evaluation methods and a graph theory model to obtain the ecological network’s sources and links. The results indicate that (1) 58 important ecological source areas were identified, with a total area of 5746 km2, mainly covered by woodland and water bodies. (2) An optimal and feasible scenario comprising 5 horizontal and 14 longitudinal corridors was established. Corridors rely primarily on the river system and mountains. (3) A total of 5 key ecological function areas and some ecological zones in important urban development areas were identified. Control measures for these ecological lands were proposed to enhance the effectiveness of ecosystem service construction. It can be concluded that identifying and deriving an optimal scenario of ecological networks in mountainous regions from the perspectives of ecosystem services and network analysis is feasible.

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“…Scholars have realized the identification of ecological sources through MSPA. In order to ensure the integrity of ecological sources, some scholars have also combined the MSPA method with the above methods, thus making up for the previous shortcomings [36][37][38]. However, the previous studies discussed mostly the effects of edge width on source identification and lacked research on landscape connectivity [39].…”

Section: Introductionmentioning

confidence: 99%

Is the Urban Landscape Connected? Construction and Optimization of Urban Ecological Networks Based on Morphological Spatial Pattern Analysis

Zhou,

Hao,

Bao

et al. 2023

Sustainability

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Urban green ecological space is an important measure of sustainable urban development. Among them, landscape connectivity is one of the key factors in maintaining landscape function. Ecological networks can effectively improve regional ecological quality and promote urban landscape connectivity. However, previous studies on ecological networks have mainly focused on biodiversity conservation and lack research on landscape connectivity. This study used morphological spatial pattern analysis methods and utilized connectivity indices to identify ecological sources in the Chaoyang and Nanguan districts of China’s Changchun City and selected environmental and anthropogenic factors to construct an integrated resistance surface. The minimum cumulative resistance model and network structure index were used for urban ecological network construction and node optimization. The results show that the potential ecological network comprises 17 ecological sources and 34 potential corridors, primarily located in forests and water bodies in the east and south regions. However, the northwest has poor habitat quality and uneven distribution of ecological corridors, that warrant prioritization in future planning, construction, and protection efforts. By introducing six supplemental sources and 25 additional corridors, the function and overall connectivity of the regional ecological network can be improved. The study confirmed that the selection of appropriate connectivity thresholds can improve the accuracy of ecological sources identification, and that the influence of anthropogenic factors on ecological resistance cannot be ignored. This study will provide a scientific basis for promoting urban construction and ecological balance.

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Promoting ecological restoration of deeply urbanized hilly areas: A multi-scale ecological networks approach

Cited by 14 publications

References 58 publications

Circular Material Usage Strategies and Principles in Buildings: A Review

Circular Material Usage Strategies and Principles in Buildings: A Review

Constructing Ecological Networks Based on Ecosystem Services and Network Analysis in Chongqing, China

Is the Urban Landscape Connected? Construction and Optimization of Urban Ecological Networks Based on Morphological Spatial Pattern Analysis

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