Application of the Ecosystem Service in Landscape Planning: From Cognition to Decision-Making

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land Planning and Landscape Architecture".

Deadline for manuscript submissions: 31 May 2025 | Viewed by 865

Special Issue Editors


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Guest Editor
College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Interests: landscape planning; urban green space; public health

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Guest Editor
College of Landscape Architecture, Sichuan Agricultural University, Chengdu 611130, China
Interests: ecosystem services; landscape planning; socio-ecological system; green infrastructure; human wellebing
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Guest Editor
State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
Interests: ecosystm service; ecogloical conservation and restoration; human wellbeing

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Guest Editor
Center for Earth System Research and Sustainability (CEN), Research Unit Sustainability and Climate Risks, University of Hamburg, Bundesstraße 55, 20146 Hamburg, Germany
Interests: ecosystm service; ecogloical conservation and restoration

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Guest Editor
School of Horticulture and Landscape Architecture, Southwest University, Chongqing 400700, China
Interests: ecosystm service; green infrastructure

Special Issue Information

Dear Colleagues,

Landscape planning aims to meet diverse human demands by managing the landscape structure and pattern and emphasizes the importance of nature-based solutions for sustainable development. The ecosystem service (ES) provides straightforward insights for different stakeholders to understand the benefits provided by landscapes to humans. One of the ultimate goals of landscape planning is to improve human wellbeing, which depends on the sustainable ES supply. In recent years, scientists and decision-makers have devoted great efforts to integrating ES science into landscape planning. The systematic ES classification framework helps planners understand how landscape planning can contribute to human wellbeing from different aspects and can further be used to identify opportunities to synergistically improve multiple benefits provided by landscapes. Moreover, well-developed ES quantification and mapping can synthesize and interpret multiple existing information related to human wellbeing. Complex socio-ecological information such as land use and soil characteristics can be transferred into information on ESs, which have clear implications for planning decision-making. Integrating ES knowledge into landscape planning can not only provide instrumental tools for existing planning but can also enrich planners’ understanding of human–environmental interactions to develop innovative planning strategies. Today, landscape planning has become an important science–policy interface for the ES. However, it should be noticed that the application of the ES in landscape planning is still in the early stage.

This Special Issue aims to bridge ES science and landscape planning practice and calls for theoretical and empirical studies illustrating how to integrate ES knowledge into the different phases of landscape planning, e.g., determining planning objectives, scenario setting, and assessment and monitoring. We particularly welcome submissions on the following topics:

  1. The conceptual framework linking landscape planning with the ES;
  2. Landscape planning and management decision-making based on the ES;
  3. Evaluating the impacts of existing and potential landscape planning on the ES; 
  4. ES trade-offs/synergies in landscape planning;
  5. Developing ES assessment technologies oriented with landscape planning.

We invite researchers worldwide to submit original research articles, review articles, and case studies to jointly explore the application of ecosystem services in landscape planning. Through the publication of this Special Issue, we hope to provide new perspectives and methods for strengthening the linkage between the ES and landscape planning, which can contribute to the improvement of human wellbeing. We look forward to receiving your original research articles and reviews.

Prof. Dr. Xi Li
Dr. Kai Li
Dr. Yuejing Rong
Dr. Hao Xia
Dr. Ruhong Xin
Guest Editors

Manuscript Submission Information

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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

  • ecosystem service
  • landscape planning and design
  • ecosystem management decision-making
  • trade-off and synergy
  • human wellbeing
  • green infrastructure
  • socio-ecological interaction
  • landscape conservation and restoration
  • nature-based solutions

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Published Papers (1 paper)

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Research

13 pages, 4249 KiB  
Article
Spatial (Mis)Matches Between Biodiversity and Habitat Quality Under Multi-Scenarios: A Case Study in Shandong Province, Eastern China
by Xiaoyin Sun, Ruifeng Shan, Qingxin Luan, Yuee Zhang and Zhicong Chen
Land 2024, 13(12), 2215; https://doi.org/10.3390/land13122215 - 18 Dec 2024
Viewed by 479
Abstract
Despite declines in biodiversity and habitat quality (HQ) at a global scale, our understanding of the HQ and matches between HQ and biodiversity under management scenarios is incomplete. To address this deficiency, the study examined trends in HQ and (mis)matches between biodiversity and [...] Read more.
Despite declines in biodiversity and habitat quality (HQ) at a global scale, our understanding of the HQ and matches between HQ and biodiversity under management scenarios is incomplete. To address this deficiency, the study examined trends in HQ and (mis)matches between biodiversity and HQ over four decades in Shandong province, China, identified the key drivers, and assessed the effectiveness of ecological policies, including Ecological Redlines (ERLs) and the Grain for Green (GG) program. During the 40-year period, HQ and matching degrees (indicated by related coefficients) between biodiversity and HQ decreased obviously. Correlation analysis showed that related coefficients between HQ and four biodiversity indices (vertebrate, vascular plant, and vegetation formation type richness, and comprehensive biodiversity index) were all significant (p < 0.01), and coefficients were highest for the biodiversity composite index. An analysis of relative importance by the random forest algorithm indicated significant variation in driving factors for spatial distribution of HQ, biodiversity, and matches between them. The key determinants of biodiversity distribution were biophysical factors, such as NDVI (normalized difference vegetation index), DEM (digital elevation model), and temperature. However, the main drivers of HQ distribution were social factors, such as the accessibility of anthropogenic activities, urbanization, and population density. Ecological policy scenarios, ERLs and GG, are clearly effective and could improve HQ and the matching degree between HQ and biodiversity significantly. Furthermore, the improvement in HQ under ERLs was less than that under GG, while the increase in the matching degree was opposite. The results of this study can be integrated by ecological managers and planners for biodiversity conservation. Full article
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