Open Access

REVIEW

Research Progress on Economic Forest Water Stress Based on Bibliometrics and Knowledge Graph

Xin Yin^1,#, Shuai Wang^1,#, Chunguang Wang¹, Haichao Wang², Zheying Zong^1,3,*, Zeyu Ban¹

1 College of Mechanical and Electrical Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
2 College of Energy and Traffic Engineering, Inner Mongolia Agricultural University, Hohhot, 010018, China
3 Key Laboratory of Biopesticide Creation and Resource Utilization of Universities, Inner Mongolia Agricultural University, Hohhot, China

* Corresponding Author: Zheying Zong. Email:

(This article belongs to the Special Issue: Abiotic and Biotic Stress Tolerance in Crop)

Phyton-International Journal of Experimental Botany 2024, 93(5), 843-858. https://doi.org/10.32604/phyton.2024.049114

Received 28 December 2023; Accepted 08 March 2024; Issue published 28 May 2024

Abstract

This study employed the bibliometric software CiteSpace 6.1.R6 to analyze the correlation between thermal infrared, spectral remote sensing technology, and the estimation of economic forest water stress. It aimed to review the development and current status of this field, as well as to identify future research trends. A search was conducted on the China National Knowledge Infrastructure (CNKI) database using the keyword “water stress” for relevant studies from 2003 to 2023. The visual analysis function of CNKI was used to generate the distribution of annual publication volume, and CiteSpace 6.1.R6 was utilized to create network maps illustrating collaboration among authors and institutions. The study also analyzed the hotspots and frontiers of economic forest water stress. As a result, a total of 6664 academic journal articles related to water stress were retrieved. Considerable collaboration networks were observed among scholars and institutions, with a focus on using crown temperature monitoring to diagnose crop water stress. Based on the research findings, it was evident that the primary research trend involved the use of thermal infrared and spectral remote sensing technology for estimating water stress, making it a future research hotspot.

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Keywords

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