Prediction of Carbon and Nitrogen Cycles and Soil Functions in Forest Ecosystems: From Molecular Mechanisms to Landscape Management

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

Deadline for manuscript submissions: 28 February 2026 | Viewed by 387

Special Issue Editors

College of Land and Environment, Shenyang Agricultural University, Shenyang 110866, China
Interests: landscape ecology; sustainability science; complex systems modelling; land spatial simulation; land use change
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Earth, Atmospheric, and Planetary Sciences, Purdue University, Lafayette, IN 47907, USA
Interests: biogeochemistry and ecosystem modeling; earth system; atmospheric chemistry; greenhouse gas cycling
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
School of Humanities and Law, Northeastern University, Shenyang, China
Interests: land protection; cultivated land quality; sustainable cultivated land use

E-Mail Website
Guest Editor
College of Forestry, Shenyang Agricultural University, Shenyang, China
Interests: soil fertility; carbon sequestration; nutrient cycling
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues, 

Forest ecosystems, serving as the largest carbon sink and nitrogen reservoir within terrestrial ecosystems, play a pivotal role in global biogeochemical cycles and climate regulation. However, in recent years, these ecosystems have encountered unprecedented pressures due to the combined effects of global climate change and anthropogenic activities. Studies indicate that over the past two decades, the global forest soil carbon pool has experienced a loss of approximately 12%, while nitrogen cycling efficiency has decreased by 15–20%. These changes not only compromise the productivity of forest ecosystems but also diminish their capacity for climate regulation. Furthermore, alterations in the soil carbon-to-nitrogen ratio (C/N) significantly influence the structure and function of microbial communities, thereby modifying nutrient cycling dynamics. In response to this context, understanding the molecular mechanisms underlying carbon and nitrogen cycling in forest soils, developing accurate predictive models, and formulating conservation strategies grounded in ecological processes have emerged as key interdisciplinary research priorities in ecology, soil science, and environmental science. Such efforts are not only essential for providing a scientific foundation to achieve the goal of "carbon neutrality", but also critical for preserving the multifunctionality of forest ecosystems.

This Special Issue aims to collect original research covering the fields of forest ecosystem protection and soil carbon and nitrogen cycling, with a focus on the full-chain research from mechanism analysis to technological innovation and management application, which is in line with the aims of Forests.

For this research topic, original research articles and reviews are welcome. Potential research areas may include (but are not limited to) the following:

  1. The biogeochemical processes of carbon and nitrogen cycling in forest soils and their microbial driving mechanisms.
  2. Development and validation of multi-scale (molecular to landscape) soil property prediction models.
  3. Strategies for carbon and nitrogen regulation in forest conservation and restoration under climate change.
  4. Application of emerging remote sensing technologies and machine learning in the assessment of soil functions.
  5. Long-term assessment of forest management practices on soil carbon and nitrogen cycles.  

Dr. Shuai Wang
Prof. Dr. Qianlai Zhuang
Prof. Dr. Fengkui Qian
Dr. Hui Li
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 ecosystem
  • carbon–nitrogen cycle
  • soil function prediction
  • biogeochemical processes
  • machine learning
  • landscape management
  • adaptation to climate change

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • 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 (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Review

16 pages, 1948 KB  
Review
Process-Based Modeling of Forest Soil Carbon Dynamics
by Mingyi Zhou, Shuai Wang, Qianlai Zhuang, Zijiao Yang, Chongwei Gan and Xinxin Jin
Forests 2025, 16(10), 1579; https://doi.org/10.3390/f16101579 - 14 Oct 2025
Viewed by 239
Abstract
Forests play a pivotal role in the global carbon cycle, yet accurately simulating forest soil carbon dynamics remains a significant challenge for process-based models. This review systematically compares the mechanistic foundations of traditional models (e.g., Century, CLM5) with emerging microbial-explicit models (e.g., MEND), [...] Read more.
Forests play a pivotal role in the global carbon cycle, yet accurately simulating forest soil carbon dynamics remains a significant challenge for process-based models. This review systematically compares the mechanistic foundations of traditional models (e.g., Century, CLM5) with emerging microbial-explicit models (e.g., MEND), highlighting key differences in mathematical formulation (first-order kinetics vs. Michaelis–Menten kinetics), carbon pools partitioning (measurable vs. non-measurable experimentally), and the representation of soil carbon stabilization mechanisms (inherent recalcitrance, physical protection, and chemical protection). Despite advances in process-based models in predicting forest soil organic carbon (SOC), improving prediction accuracy, and assessing SOC response to climate change, current research still faces several challenges. These include difficulties in capturing depth-dependent variations in critical microbial parameters such as microbial carbon use efficiency (CUE), limited capacity to distinguish the relative contributions of aboveground and belowground litter inputs to SOC formation, and a general lack of long-term observational data across soil profiles. To address these limitations, this study emphasizes the importance of integrating remote sensing data and refining cross-scale simulation approaches. Such improvements are essential for enhancing model predictive accuracy and establishing a more robust theoretical basis for forest carbon management and climate change mitigation. Full article
Show Figures

Figure 1

Back to TopTop