Coupling of Forest and River Ecosystems

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

Deadline for manuscript submissions: 25 June 2025 | Viewed by 1163

Special Issue Editors

Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan 430074, China
Interests: isotope geochemistry; biogeochemistry; water chemistry; biomolecular techniques
Wuhan Botanical Garden, Chinese Academy of Sciences, No. 201 Jiufeng 1st Road, Wuhan, China
Interests: remote sensing; ecology; mangrove; watershed; land use
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Wuhan Botanical Garden, Chinese Academy of Sciences, No. 201 Jiufeng 1st Road, Wuhan, China
Interests: advances in vegetation ecology
School of Computer Science, China University of Geosciences (Wuhan), No. 68 Jincheng Street, Wuhan, China
Interests: geological modeling and uncertainty analysis using machine learning

Special Issue Information

Dear Colleagues,

The coupling relationship between forest and river ecosystems is an important and complex research topic in the field of ecology. Forests and rivers, as the two most important types of ecosystems on Earth, are interdependent and interact with each other, forming a complex ecological network. For instance, forests play an important regulatory role in the water quality and runoff of rivers. Additionally, forests provide rivers with abundant organic matter and influence ecological processes such as hydrological, nitrogen, and carbon cycles. By studying the coupling relationship between forest and river ecosystems, we can better understand the complex ecological balance of nature.

However, the interaction of forest and river ecosystems remains to be studied. Future research should focus on exploring the coupling processes and mechanisms of forest–river ecosystems, conducting comprehensive studies at multiple scales and factors, strengthening research on the impact of human activities, and exploring pathways to promote the healthy development and sustainable utilization of forest–river ecosystems.

We encourage studies from a variety of disciplines, including monitoring approaches and models, remote sensing, biogeochemistry, artificial intelligence, etc., to contribute to this Special Issue to promote knowledge for the preservation and future development of forest–river ecosystems.

Dr. Hao Jiang
Dr. Dezhi Wang
Prof. Dr. Haishan Dang
Dr. Bo Wan
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
  • river ecosystem
  • water quality and quantity
  • monitoring and models
  • human activities remote sensing
  • artificial intelligence
  • biogeochemistry

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.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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:

Research

27 pages, 6318 KiB  
Article
Spatiotemporal Variations of Vegetation NPP Based on GF-SG and kNDVI and Its Response to Climate Change and Human Activities: A Case Study of the Zoigê Plateau
by Li He, Yan Yuan, Zhengwei He, Jintai Pang, Yang Zhao, Wanting Zeng, Yuxin Cen and Yixian Xiao
Forests 2025, 16(1), 32; https://doi.org/10.3390/f16010032 - 27 Dec 2024
Cited by 1 | Viewed by 781
Abstract
Net primary productivity (NPP) is a key metric for evaluating ecosystem carbon sink capacity and defining vegetation. Despite extensive research on vegetation NPP, much relies on coarse spatial resolution data, which often overlooks regional spatial heterogeneity, causing inaccuracies in NPP estimates. Therefore, this [...] Read more.
Net primary productivity (NPP) is a key metric for evaluating ecosystem carbon sink capacity and defining vegetation. Despite extensive research on vegetation NPP, much relies on coarse spatial resolution data, which often overlooks regional spatial heterogeneity, causing inaccuracies in NPP estimates. Therefore, this study employed the improved CASA model, based on GF-SG and kNDVI methods, to estimate vegetation NPP at a 30 m spatial resolution on the Zoigê Plateau from 2001 to 2020. The effects of anthropogenic and climatic factors on NPP were quantified through residual and partial correlation analyses. These results indicated the following: (1) NDVI derived from the GF-SG fusion method aligns closely with Landsat NDVI (R2 ≈ 0.9). When contrasted with using NDVI alone, incorporating kNDVI into the CASA model enhances NPP assessment accuracy. (2) Vegetation NPP on the Zoigê Plateau has fluctuated upward by 2.09 gC·m−2·a−1 over the last two decades, with higher values centrally and lower at the edges. (3) Monthly partial correlation analysis indicates almost no temporal effects in NPP response to temperature (97.42%) but significant cumulative effects in response to precipitation (80.3%), with longer accumulation periods in the south. Annual analysis reveals that NPP correlates more strongly with temperature than precipitation. (4) NPP changes are jointly influenced by climate change (48.46%) and human activities (51.54%), with the latter being the dominant factor. This study deepens the understanding of NPP dynamics in the Zoigê Plateau and offers insights for estimating NPP at high spatial-temporal resolutions. Full article
(This article belongs to the Special Issue Coupling of Forest and River Ecosystems)
Show Figures

Figure 1

Back to TopTop