Carbon Cycle Dynamics and Climate Risk Response in Urban and Rural Land Systems

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Systems and Global Change".

Deadline for manuscript submissions: 31 December 2026 | Viewed by 529

Editors

Pan Tianshou College of Architecture, Art and Design, Ningbo University, Ningbo 315211, China
Interests: climate change and carbon emission risk; urban spatial resilience; complex system of urban and rural settlements

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Guest Editor
Department of City and Regional Planning, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
Interests: low carbon and green cities; plan evaluation; land use development and regulations; spatial analysis of urban spatial structure and urban form; land use and transportation integration
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Guest Editor
School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China
Interests: computational modelling; big data and AI for planning; innovation geography; low-carbon planning
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Guest Editor
School of Architecture and Urban Planning, Suzhou University of Science and Technology, Suzhou 215000, China
Interests: climate change and resilient cities; urban and rural ecological and environmental planning

Special Issue Information

Dear Colleagues,

Against the global backdrop of accelerating climate change and widespread carbon neutrality commitments, urban and rural land systems serve as the core spatial carrier for carbon cycle regulation, climate risk exposure, and adaptive governance. The coupling between Carbon Cycle Dynamics and Climate Risk Response in Urban and Rural Land Systems has emerged as a critical frontier for urban and rural planning, architecture, land science, and related disciplines. Existing studies have mostly focused on carbon process analysis at a single urban or rural scale, while the coupled mechanisms of urban–rural carbon cycle dynamics, quantitative assessment of carbon emission and compound climate risks, and spatial planning/design-oriented response strategies remain insufficiently explored.

This Special Issue aims to gather innovative multi-disciplinary research to reveal the spatio-temporal evolution of the carbon cycle in urban and rural land systems, assess relevant climate and carbon emission risks, and explore effective response pathways, planning strategies, and advanced methods, including machine learning and scenario simulation. We welcome original research, review articles, and case studies covering topics including, but not limited to, the following:

  • Spatio-temporal dynamics and driving mechanisms of the carbon cycle in urban and rural land systems.
  • Coupling assessment of carbon emission and climate change risks in urban-rural development.
  • Low-carbon and climate-resilient urban and rural planning and architectural design strategies.
  • Scenario simulation and machine learning applications in carbon cycle and climate risk research.
  • Multi-scale practice pathways for low-carbon transition and climate adaptation of urban and rural land systems.

Contributions at the intersection of land change science, urban–rural planning, and climate risk governance are especially welcome, but contributions from other human–environment fields that forefront Carbon Cycle Dynamics and Climate Risk Response in Urban and Rural Land Systems are also highly welcome. Regional and scalar diversity in contributions is also desired.

Proposed titles and abstracts (250 words) can be submitted by 31 July 2026 to the Guest Editors at yaoqiang@nbu.edu.cn if prospective authors want feedback before preparing their manuscripts.

We look forward to receiving your original research articles and reviews.

Dr. Qiang Yao
Prof. Dr. Yan Song
Prof. Dr. Helin Liu
Dr. Baoqiang Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • carbon cycle dynamics
  • carbon emission risk
  • low-carbon transition
  • climate-adaptive cities
  • compound climate change risks
  • low carbon urban and built environment
  • ecological network resilience
  • machine learning
  • scenario simulation

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Published Papers (1 paper)

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Research

23 pages, 17891 KB  
Article
Does Enhanced Carbon Emission Efficiency Mitigate Urban Climate Risk?
by Feiyu Chen, Xiaoyong Huang, Zhi Li, Hanchen Xie and Yifei Wu
Land 2026, 15(6), 1068; https://doi.org/10.3390/land15061068 - 17 Jun 2026
Viewed by 253
Abstract
Extreme climate events have emerged as a critical threat to the economic resilience and environmental sustainability of urban systems. As a central pillar of the low-carbon transition, improvements in carbon emission efficiency (CEE) are increasingly recognized as a potential pathway to mitigate the [...] Read more.
Extreme climate events have emerged as a critical threat to the economic resilience and environmental sustainability of urban systems. As a central pillar of the low-carbon transition, improvements in carbon emission efficiency (CEE) are increasingly recognized as a potential pathway to mitigate the occurrence and intensity of such events. Drawing on a balanced panel dataset of 163 cities from 2006 to 2022, this study integrates an Extreme Gradient Boosting (XGBoost) model augmented with SHAP (Shapley Additive Explanations) analysis and a Geographically and Temporally Weighted Regression (GTWR) framework to examine the nonlinear and spatially heterogeneous effects of CEE on the Climate Physical Risk Index (CPRI). The results reveal a distinct two-stage dynamic pattern, in which CEE initially exacerbates and subsequently mitigates climate risk, indicating a nonlinear transition from short-term intensification to long-term alleviation. This relationship shows clear differences across city levels and climate types. The strongest effects appear in peripheral cities and in areas with extreme rainfall dominance (ERD). Spatial analysis based on GTWR also shows a clear north–south pattern. The effect of CEE in reducing risk becomes stronger from the south to the north. Based on these results, the study suggests different land-use policy strategies for different city types and climate conditions. The results give actionable insights for designing targeted carbon governance policies. These policies aim to deal with the growing challenges caused by extreme climate events under ongoing climate change. Full article
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