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Forests
Special Issues
Forest Inventory: The Monitoring of Biomass and Carbon Stocks
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Forest Inventory: The Monitoring of Biomass and Carbon Stocks

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".

Deadline for manuscript submissions: 25 October 2025 | Viewed by 2950

Special Issue Editors

Prof. Dr. Tianxiang Yue

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Guest Editor
Institute of Geographic Science and Natural Resources Research, Chinese Academy of Sciences, Beijing, China
Interests: high precision surface modeling method; Chinese population distribution surface modeling method; change detection model; ecological threshold model; scale ecological diversity model; patch connectivity
Special Issues, Collections and Topics in MDPI journals
Dr. Zhe Xu

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Guest Editor
Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
Interests: remote sensing; environment modelling
Special Issues, Collections and Topics in MDPI journals
Dr. Zong Wang

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Guest Editor
The College of Forestry, Beijing Forestry University, Beijing 100107, China
Interests: forest ecosystems; carbon stock simulation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Forests act as carbon sinks, absorbing carbon dioxide from the atmosphere and storing it in biomass and soil. Therefore, the monitoring biomass and carbon stocks is crucial for our understanding of the capacity of forests to mitigate climate change, our ability to assess the health of forests, and their ability to sustain biodiversity, as well as being crucial in terms of helping governments and international organizations to formulate policies for forest conservation, sustainable land use, and climate change mitigation. This Special Issue aims to explore the critical role of forest inventory in assessing and managing biomass and carbon stocks. Meanwhile, this it also seeks to foster interdisciplinary dialogue and promote advancements in forest inventory methodologies for the effective management of biomass and carbon stocks. Research articles, review papers, and case studies on the following potential topics are all welcome. 

Potential topics include, but are not limited to:

  • Modeling approaches for forest carbon stock estimation;
  • The integration of field and remote sensing data in monitoring biomass and carbon stocks;
  • Predictions of forest carbon stocks and climate change mitigation potential;
  • Methodologies and standards for accounting for forest carbon stocks and changes;
  • Temporal and spatial dynamic variation characteristics and research methods of forest ecosystem carbon storage;
  • Future trends of forest carbon storage under different scenarios;
  • Identification of challenges and gaps in current monitoring and assessment practices.

Prof. Dr. Tianxiang Yue
Dr. Zhe Xu
Dr. Zong 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 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

  • forest inventory
  • biomass assessment
  • carbon stocks
  • monitoring techniques
  • remote sensing
  • data fusion
  • climate change mitigation
  • forest carbon dynamics
  • biodiversity conservation
  • policy implications

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Published Papers (2 papers)

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19 pages, 27172 KiB  
Article
Quantitative Evaluation of the Applicability of Classical Forest Ecosystem Carbon Cycle Models in China: A Case Study of the Biome-BGC Model
by Minzhe Fang, Wei Liu, Jieyu Zhang, Jun Ma, Zhisheng Liang and Qiang Yu
Forests 2024, 15(9), 1609; https://doi.org/10.3390/f15091609 - 12 Sep 2024
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Abstract
The Biome-BGC model is a classic forest ecosystem carbon cycle model driven by remote sensing and plant trait data, and it has been widely applied in various regions of China over the years. However, does the Biome-BGC model have good applicability in all [...] Read more.
The Biome-BGC model is a classic forest ecosystem carbon cycle model driven by remote sensing and plant trait data, and it has been widely applied in various regions of China over the years. However, does the Biome-BGC model have good applicability in all regions of China? This question implies that the rationality of some applications of the Biome-BGC model in China might be questionable. To quantitatively assess the overall spatial applicability of the Biome-BGC model in China’s vegetation ecosystems, this study selected ten representative forest and grassland ecosystem sites, all of which have publicly available carbon flux data. In this study, we first used the EFAST method to identify the sensitive ecophysiological parameters of the Biome-BGC model at these sites. Subsequently, we calibrated the optimal values of these sensitive parameters through a literature review and the PEST method and then used these to drive the Biome-BGC model to simulate the productivity (including GPP and NEP) of these ten forest and grassland ecosystems in China. Finally, we compared the simulation accuracy of the Biome-BGC model at these ten sites in detail and established the spatial pattern of the model’s applicability across China. The results show that the sensitive ecophysiological parameters of the Biome-BGC model vary with spatial distribution, plant functional types, and model output variables. After conducting parameter sensitivity analysis and optimization, the simulation accuracy of the Biome-BGC model can be significantly improved. Additionally, for forest ecosystems in China, the model’s simulation accuracy decreases from north to south, while for grassland ecosystems, the accuracy increases from north to south. This study provides a set of localized ecophysiological parameters and advocates that the use of the Biome-BGC model should be based on parameter sensitivity analysis and optimization. Full article
(This article belongs to the Special Issue Forest Inventory: The Monitoring of Biomass and Carbon Stocks)
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Review

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22 pages, 7710 KiB  
Review
Review of the Current Status and Development Trend of Global Forest Carbon Storage Research Based on Bibliometrics
by Chenchen Wu, Yang Yang and Tianxiang Yue
Forests 2024, 15(9), 1498; https://doi.org/10.3390/f15091498 - 27 Aug 2024
Viewed by 1782
Abstract
Forests are one of the largest terrestrial ecosystems on Earth, absorbing carbon dioxide from the atmosphere through photosynthesis and storing it as organic carbon, thereby mitigating global warming. Conducting bibliometric analysis of forest carbon storage can identify current research trends and hot issues [...] Read more.
Forests are one of the largest terrestrial ecosystems on Earth, absorbing carbon dioxide from the atmosphere through photosynthesis and storing it as organic carbon, thereby mitigating global warming. Conducting bibliometric analysis of forest carbon storage can identify current research trends and hot issues in this field, providing data support for researchers and policy makers. This review article provides a comprehensive bibliometric analysis of global forest carbon storage research, using databases from the Web of Science Core Collection. CiteSpace software (6.2.6 version) was employed to visualize and analyze the data, focusing on key researchers, institutions, and countries, as well as major research themes and emerging trends. The main findings are as follows: (1) Since the 21st century, the publication volume in this field has been increasing, with the United States and China being the top contributors. (2) There is active collaboration among key authors, institutions, and countries, with a notable close-knit network centered around French author Philippe Ciais. This group includes nearly half of the field’s authors and many of them are crucial for advancing research in this field. (3) Cluster and citation burst analyses suggest that future research will focus more on the impact of forest management policies on carbon stocks, with particular attention to the roles of northern temperate forests and mangroves in global carbon storage. These findings provide valuable insights into the current state and future directions of forest carbon storage research. This article is instrumental in elucidating the role of forest ecosystems within the global carbon cycle, evaluating the impacts of anthropogenic activities on forest carbon stocks, and informing the development of effective climate change mitigation strategies. Full article
(This article belongs to the Special Issue Forest Inventory: The Monitoring of Biomass and Carbon Stocks)
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