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Land
Special Issues
Multiscalar Interactions Between Climate and Land Management Regimes
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Multiscalar Interactions Between Climate and Land Management Regimes

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land–Climate Interactions".

Deadline for manuscript submissions: 15 June 2026 | Viewed by 2023

Special Issue Editors

Prof. Dr. C. Andrew Day

E-Mail Website
Guest Editor
Department of Geographic and Environmental Sciences, University of Louisville, Louisville, KY 40292, USA
Interests: hydrology; water resources; land cover change; climate change and variability
Prof. Dr. Kenneth R. Young

E-Mail Website
Guest Editor
Department of Geography and the Environment, University of Texas at Austin, Austin, TX 78712, USA
Interests: biogeography; environmental conservation; developing countries; tropical ecosystems; protected areas; Latin America, biodiversity; climate change; landscape change
Special Issues, Collections and Topics in MDPI journals
Dr. Brice B. Hanberry

E-Mail Website
Guest Editor
USDA Forest Service, Rocky Mountain Research Station, Rapid City, SD 57702, USA
Interests: climate change; land use; forestry; ecology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue of Land focuses on the dynamic and interconnected relationships between climate systems and land management regimes across all spatial and temporal scales. Land use and land cover change—driven by agriculture, forestry, urbanization, and conservation practices—can impact corresponding climate system processes. Conversely, climatic variability and long-term climate change are increasingly influencing land management decisions, land tenure arrangements, and ecosystem functioning. 

The aim of this Special Issue is to collect papers that explore how these interactions can affect carbon and water cycles, vegetation distribution and biodiversity, soil erosion/sedimentation, water quality, and any other relevant critical outcomes at all scales. As land use change and development intensifies, understanding these interactions is essential for designing sustainable, climate-resilient management strategies and governance systems. 

This Special Issue encourages interdisciplinary studies, including original research, reviews, and theoretical or conceptual analyses. Submissions that integrate natural and social sciences, or that feature case studies from diverse ecological and governance contexts, are especially welcome. Topics of interest include (but are not limited to) the following: 

  • Land use change and its influence on regional or local climate feedback
  • Climate-driven shifts in land use and management practices
  • Vegetation/biodiversity changes caused by land–climate interactions
  • Soil erosion/sedimentation caused by land–climate interactions
  • Impacts on water quality and aquatic ecosystems due to land use change and climate variability
  • Climate adaptation in land governance and planning
  • Multiscale modeling of land–atmosphere and land–water processes
  • Coupled human–natural system approaches to land management
  • Synergies in land-based climate mitigation strategies
  • Role of traditional, indigenous, and local knowledge in managing land–climate risks
  • Policy and institutional responses to emerging land–climate challenges

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

Prof. Dr. C. Andrew Day
Prof. Dr. Kenneth R. Young
Dr. Brice B. Hanberry
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-blind 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

  • land use change
  • climate change and variability
  • land–climate interactions
  • vegetation distribution
  • soil erosion/sedimentation
  • water quality
  • land management/governance
  • ecosystem services
  • resilience
  • multiscale modeling

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  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (2 papers)

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Research

36 pages, 8038 KB  
Article
Seasonal Storm Controls on Turbidity in an Urban Watershed: Implications for Sediment Best Management Practice (BMP) Design
by C. Andrew Day and D. Angelina Rangel
Land 2026, 15(4), 597; https://doi.org/10.3390/land15040597 - 4 Apr 2026
Viewed by 479
Abstract
Storm-driven turbidity is a major water-quality concern in urban watersheds, reflecting the mobilization and transport of fine sediment during runoff events. This study examines how seasonal storm characteristics influence turbidity and associated sediment transport responses in the Middle Fork of Beargrass Creek, Louisville, [...] Read more.
Storm-driven turbidity is a major water-quality concern in urban watersheds, reflecting the mobilization and transport of fine sediment during runoff events. This study examines how seasonal storm characteristics influence turbidity and associated sediment transport responses in the Middle Fork of Beargrass Creek, Louisville, Kentucky, over a two-year period. Forty-one erosive storm events were identified and characterized using high-resolution rainfall data to capture storm magnitude and structure. Study objectives were to: (1) quantify event-scale turbidity responses to erosive storms, (2) compare upstream and downstream turbidity behavior to assess spatial variability, (3) evaluate seasonal variation in these relationships, and (4) assess implications for sediment-focused best management practice (BMP) design. Event-based regression models related downstream turbidity to lagged upstream turbidity and downstream erosivity. Turbidity ratios and turbidity–discharge hysteresis characterized spatial and temporal sediment transport dynamics. Results showed that winter and spring storms exhibited longer durations, stronger upstream–downstream turbidity coupling, and more stable lag relationships, indicating integrated sediment transport. Short-duration, high-intensity summer storms produced elevated turbidity ratios, pronounced clockwise hysteresis, and greater model sensitivity, consistent with localized sediment mobilization. Findings support seasonally adaptive BMP strategies, with volume-reduction approaches most effective during winter–spring and source control measures critical during summer-fall. Full article
(This article belongs to the Special Issue Multiscalar Interactions Between Climate and Land Management Regimes)
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22 pages, 3054 KB  
Article
Assessing Urban Flood Resilience in the Low-Elevation Capital, Georgetown, Guyana: A Principal Component Analysis-Driven Census-Based Index
by Dwayne Shorlon Renville, Chingwen Cheng, Linda Francois, Bunnel Bernard and Netra Chhetri
Land 2026, 15(3), 467; https://doi.org/10.3390/land15030467 - 14 Mar 2026
Viewed by 1054
Abstract
Urban flood resilience has emerged as a holistic citywide approach for mitigating flood hazards and navigating the impacts of extreme weather patterns induced by climate change. This is particularly pertinent for high-risk, low-elevation coastal cities like Georgetown, Guyana. However, while the literature on [...] Read more.
Urban flood resilience has emerged as a holistic citywide approach for mitigating flood hazards and navigating the impacts of extreme weather patterns induced by climate change. This is particularly pertinent for high-risk, low-elevation coastal cities like Georgetown, Guyana. However, while the literature on Georgetown includes assessments, analyses, modeling, vulnerability, and the socio-political history of flooding, we found no evidence of flood resilience assessment for the city. Therefore, this study presents a data-driven evaluation of flood resilience at the sub-district level in Georgetown. To accomplish this, we constructed flood resilience indices (FRIs) using the aggregated weighted mean index approach and census-based indicators across physical, social, and economic dimensions. Principal component analysis (PCA) was employed to generate these weights and, subsequently, to perform dimensionality reduction and determine a linear regression model for the FRI values. To evaluate the stability of the constructed indices, robustness tests were conducted using alternative normalization and weighting schemes to demonstrate the consistency of resilience rankings across specifications. The results show that (a) economic resilience is lowest, (b) there is notable clustering and sharp disparities in the physical and social dimensions, and (c) the social dimension has the strongest correlation with the total FRI, which is generally heterogeneous. PCA-derived principal components explained 77.347% of the variation in the FRI values, enabling dimensionality reduction and three-dimensional graphical presentations. Our findings provide urban planners with insights into the distribution of flood resilience needs across the city. This study enables informed decision-making, serving as a pathway to achieve equitable resource allocation and build the city’s resilience. Full article
(This article belongs to the Special Issue Multiscalar Interactions Between Climate and Land Management Regimes)
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