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Forests
Special Issues
Afforestation to Enhance Ecosystem Services and Reduce Negative Impacts
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Afforestation to Enhance Ecosystem Services and Reduce Negative Impacts

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Ecology and Management".

Deadline for manuscript submissions: 31 May 2024 | Viewed by 1293

Special Issue Editors

Dr. Yanmin Teng

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Guest Editor
Research Center for Eco-Environmental Engineering, Dongguan University of Technology, Songshan Lake, Dongguan 523808, China
Interests: ecological planning; ecosystem services; forestry ecosystem management
Dr. Chao Wang

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Guest Editor
School of Labor Economics, Capital University of Economics and Business, Beijing 100089, China
Interests: land use/cover change; carbon emissions and carbon sequestration; ecosystem services
Prof. Dr. Jinyan Zhan

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Guest Editor
State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing 100875, China
Interests: land use/cover change; ecosystem services; environmental impact scenario estimation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

As a nature-based solution, afforestation plays a vital role in combating global warming, land degradation, and biodiversity loss. With limited resources and imminent threats, deciding where to carry out afforestation is a crucial issue. However, due to improper selection of afforestation areas and tree species, it is difficult to enhance corresponding ecosystem services using large-scale afforestation, and it has many negative impacts on a local scale (such as vegetation degradation, soil organic carbon depletion, increased pests and diseases, and excessive consumption of regional water resources). At present, where afforestation efforts should be directed is not well understood and agreed upon, especially in the face of rapid climate change and socio-economic development. Therefore, it is necessary to rationally optimize afforestation patterns and tree species based on input–output analysis, linear programming, machine learning, and other spatial optimization analysis methods by considering the costs and benefits of forest from multiple perspectives, so as to enhance regional ecosystem services and reduce negative impacts. This Special Issue plans to give an overview of the most recent advances in the field of afforestation pattern optimization and ecological management.

Potential topics include, but are not limited to:

  • Forest monitoring and assessment;
  • Forest ecosystem functions and services;
  • Urban and regional forest spatial pattern optimization;
  • Cost and benefit analysis of afforestation;
  • Impacts of climate change and human activities on forests;
  • Ecological planning and management;
  • Model simulation and scenario analysis.

Dr. Yanmin Teng
Dr. Chao Wang
Prof. Dr. Jinyan Zhan
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 100 words) can be sent to the Editorial Office for announcement on this website.

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. Forests 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

  • pattern optimization
  • ecosystem services
  • afforestation
  • forest ecological management
  • spatial planning

Published Papers (2 papers)

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Research

21 pages, 3497 KiB  
Article
Sustainable Afforestation Strategies: Hybrid Multi-Criteria Decision-Making Model in Post-Mining Rehabilitation
by Ersin Güngör and Gökhan Şen
Forests 2024, 15(5), 783; https://doi.org/10.3390/f15050783 - 29 Apr 2024
Viewed by 271
Abstract
This article describes an effective approach for selecting suitable plant species for afforestation in post-mining rehabilitation. The research was conducted in the Western Black Sea region of Turkey. The aim of the research is to perform accurate criteria weighting and species prioritization for [...] Read more.
This article describes an effective approach for selecting suitable plant species for afforestation in post-mining rehabilitation. The research was conducted in the Western Black Sea region of Turkey. The aim of the research is to perform accurate criteria weighting and species prioritization for afforestation in post-mining degraded areas. This helps to ensure consistent conditions for the future use of the site as a forest, sustainability of nature, and selection of appropriate species adapted to the difficult post-mining conditions. In this study, which is a multi-criteria decision-making problem (MCDM), the weights of the criteria were determined by stepwise weight assessment ratio analysis (SWARA), and the priority ranking of the species was determined by the analytic hierarchy process (AHP). Analyses were carried out with 10 afforestation criteria and five tree species. According to the analysis, the top three ranked criteria are Economic Efficiency > Carbon Stock and Credit > Reducing Afforestation Cost. The five species’ priority ranking is Robinia pseudoacacia L. (0.456) > Alnus glutinosa subsp. glutinosa (0.248) > Populus nigra subsp. nigra (0.146) > Salix alba L. (0.103) > Quercus robur subs. robur (0.048). The hybrid approach is expected to increase the effectiveness of post-mining rehabilitation works. Full article
(This article belongs to the Special Issue Afforestation to Enhance Ecosystem Services and Reduce Negative Impacts)
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17 pages, 4278 KiB  
Article
The Carbon Storage of Reforestation Plantings on Degraded Lands of the Red Soil Region, Jiangxi Province, China
by Peng Li, Xiaojun Liu, Chen Wang, Yanjie Lu, Laicong Luo, Lingjian Tao, Tingqi Xiao and Yuanqiu Liu
Forests 2024, 15(2), 320; https://doi.org/10.3390/f15020320 - 07 Feb 2024
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Abstract
To assess the effects of reforestation on ecosystem carbon storage, a long-term Forest Restoration Experimental Project (FREP) was established in 1991 on southern degraded red soil in Taihe County, Jiangxi Province, China. In this study, we selected five types of plantations: Schima superba [...] Read more.
To assess the effects of reforestation on ecosystem carbon storage, a long-term Forest Restoration Experimental Project (FREP) was established in 1991 on southern degraded red soil in Taihe County, Jiangxi Province, China. In this study, we selected five types of plantations: Schima superba plantation (SS), Liquidambar formosana plantation (LF), Pinus massoniana plantation (PM), Pinus elliottii plantation (PE), and P. elliottii and broadleaf mixed plantation (MEB). The unforested land was used as an experimental control check (CK). We aimed to assess the changes in carbon storage in plantations and the factors affecting them. Thirty years after reforestation, the ecosystem carbon storage of the five types of plantations was significantly higher than that of the control site, and there were also significant differences in the ecosystem carbon storage between the different plantation types (p < 0.05). The ecosystem carbon storage of SS, MEB, LF, PM, and PE were 211.71 Mg ha−1, 199.02 Mg ha−1, 160.96 Mg ha−1, 155.01 Mg ha−1, and 142.88 Mg ha−1, respectively. Compared to the CK, these values were increased by 436.8%, 404.6%, 308.1%, 293.1%, and 262.3%, respectively. The ecosystem carbon storage was significantly positively correlated with soil porosity, total nitrogen (TN), and stand density, and was significantly negatively correlated with pH, Pielou’s evenness index (PEI), and the Shannon–Weiner diversity index (SWDI). The soil water content (SWC), bulk density (BD), SWDI, and stand density can be used as indicators of the impact of reforestation plantings on ecosystem carbon storage. The research results has shown that reforestation plantings significantly increase ecosystem carbon storage, and that afforestation should be encouraged on degraded land. Full article
(This article belongs to the Special Issue Afforestation to Enhance Ecosystem Services and Reduce Negative Impacts)
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