Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)

<Previous Article In Volume
Next Article In Volume>

Bibliometric Analysis of Forest Gross Primary Productivity Research Trends Over the Past 20 Years

Authors
Yueming Chen1, ZhengHong Xie1, *, Luo Xu1, Biao Zheng2, Caiying Huang3
1Guangdong Eco-Engineering Polytechnic, Guangzhou, 510642, China
2Hunan University of Finance and Economics, Changsha, 410205, China
3College of Civil Engineering, Jiaying University, Meizhou, 514015, China
*Corresponding author. Email: zhenghong9527@foxmail.com
Corresponding Author
ZhengHong Xie
Available Online 9 October 2023.
DOI
10.2991/978-94-6463-262-0_68How to use a DOI?
Keywords
Forest; Gross primary productivity; Bibliometrics; Citespace
Abstract

With the intensification of human activities and the impact of climate change, among others, gross primary productivity (GPP) is one of the most basic life activities of forest ecosystems and one of the important factors to maintain ecosystem stability. Therefore, the study of changes in forest primary productivity and the factors influencing is essential for understanding the health and sustainability of ecosystems. This paper analyses the worldwide research dynamics on forest primary productivity in the period from 1990 to 2022. A bibliometric analysis of 1534 articles was conducted. The aim of this study is to conduct a comprehensive analysis of global forest primary productivity research through a bibliometric approach to identify research hotspots, trends and future research directions in this area. Throughout the research history, there were three main research hotspots, which were forest GPP estimation model, optimization of the GPP model, and GPP model based on remote sensing and FLUXNET dataset.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
Series
Atlantis Highlights in Engineering
Publication Date
9 October 2023
ISBN
978-94-6463-262-0
ISSN
2589-4943
DOI
10.2991/978-94-6463-262-0_68How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Yueming Chen
AU  - ZhengHong Xie
AU  - Luo Xu
AU  - Biao Zheng
AU  - Caiying Huang
PY  - 2023
DA  - 2023/10/09
TI  - Bibliometric Analysis of Forest Gross Primary Productivity Research Trends Over the Past 20 Years
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 650
EP  - 660
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_68
DO  - 10.2991/978-94-6463-262-0_68
ID  - Chen2023
ER  -