Cargando…

Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis

Farmland abandonment is one of the most important land use changes in the world today and crucial to the sustainable development of the global environment. The authors carried out extensive research on farmland abandonment from many perspectives, but, due to the variety of the research contents, ric...

Descripción completa

Detalles Bibliográficos
Autores principales: Liu, Bo, Song, Wei, Sun, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735913/
https://www.ncbi.nlm.nih.gov/pubmed/36498083
http://dx.doi.org/10.3390/ijerph192316007
_version_ 1784846890546757632
author Liu, Bo
Song, Wei
Sun, Qian
author_facet Liu, Bo
Song, Wei
Sun, Qian
author_sort Liu, Bo
collection PubMed
description Farmland abandonment is one of the most important land use changes in the world today and crucial to the sustainable development of the global environment. The authors carried out extensive research on farmland abandonment from many perspectives, but, due to the variety of the research contents, rich research perspectives, and complex research objects, the current research in this field lacks comprehensiveness, objectivity, and systematization. In this study, the bibliometric R software packages bibliometrix and biblioshiny (K-Synth Srl, Naples, Italy) were used to analyze the development history and current situation of 896 articles on farmland abandonment in the Web of Science core collection database from 1980 to 2021, revealing their research hotspots and predicting the future development trends. Over the past 40 years, the number of published papers on abandoned farmland has continuously increased. Research mainly focused on the ecological environment, with natural succession, biodiversity, and vegetation restoration being high-frequency keywords in this field. Research on the social aspects of farmland abandonment has developed rapidly in the past 6 years. Based on these findings, this paper put forward four future research directions: the data source for the extraction of abandoned farmland should transform to high spatial-temporal resolution and hyperspectral remote sensing images; the method should pay more attention to the time series change detection and the application of the model; future research should focus on the economic costs of the reclamation of abandoned farmland and the ecological consequences of such reclamation; and the global ecological impact of vegetation succession after the abandonment of farmland should be further discussed from a broader perspective.
format Online
Article
Text
id pubmed-9735913
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-97359132022-12-11 Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis Liu, Bo Song, Wei Sun, Qian Int J Environ Res Public Health Review Farmland abandonment is one of the most important land use changes in the world today and crucial to the sustainable development of the global environment. The authors carried out extensive research on farmland abandonment from many perspectives, but, due to the variety of the research contents, rich research perspectives, and complex research objects, the current research in this field lacks comprehensiveness, objectivity, and systematization. In this study, the bibliometric R software packages bibliometrix and biblioshiny (K-Synth Srl, Naples, Italy) were used to analyze the development history and current situation of 896 articles on farmland abandonment in the Web of Science core collection database from 1980 to 2021, revealing their research hotspots and predicting the future development trends. Over the past 40 years, the number of published papers on abandoned farmland has continuously increased. Research mainly focused on the ecological environment, with natural succession, biodiversity, and vegetation restoration being high-frequency keywords in this field. Research on the social aspects of farmland abandonment has developed rapidly in the past 6 years. Based on these findings, this paper put forward four future research directions: the data source for the extraction of abandoned farmland should transform to high spatial-temporal resolution and hyperspectral remote sensing images; the method should pay more attention to the time series change detection and the application of the model; future research should focus on the economic costs of the reclamation of abandoned farmland and the ecological consequences of such reclamation; and the global ecological impact of vegetation succession after the abandonment of farmland should be further discussed from a broader perspective. MDPI 2022-11-30 /pmc/articles/PMC9735913/ /pubmed/36498083 http://dx.doi.org/10.3390/ijerph192316007 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Liu, Bo
Song, Wei
Sun, Qian
Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis
title Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis
title_full Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis
title_fullStr Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis
title_full_unstemmed Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis
title_short Status, Trend, and Prospect of Global Farmland Abandonment Research: A Bibliometric Analysis
title_sort status, trend, and prospect of global farmland abandonment research: a bibliometric analysis
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735913/
https://www.ncbi.nlm.nih.gov/pubmed/36498083
http://dx.doi.org/10.3390/ijerph192316007
work_keys_str_mv AT liubo statustrendandprospectofglobalfarmlandabandonmentresearchabibliometricanalysis
AT songwei statustrendandprospectofglobalfarmlandabandonmentresearchabibliometricanalysis
AT sunqian statustrendandprospectofglobalfarmlandabandonmentresearchabibliometricanalysis