2021
DOI: 10.3390/rs13101911
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Quantifying the Compound Factors of Forest Land Changes in the Pearl River Delta, China

Abstract: Forestland has been a focus of urbanization research, yet the effect of urbanization on forest land change on an urban agglomeration scale still remains unclear. Screening and quantifying the main factors affecting forest land changes have practical significance for land planning and management. Considering the characteristics of the region and referring to related studies, 26 natural, social, and economic factors were screened in the Pearl River Delta (PRD), where land-use changes are intense. Geographically … Show more

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Cited by 14 publications
(11 citation statements)
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“…Urbanization causes forest loss by generating high demand for residential facilities and infrastructure facilities in neighboring areas, especially in the development area, as the population and the number of households increase beyond simple regional development [108,109]. This is consistent with the results of Chen et al that forest loss occurred due to urban development including the increase of roads and residential areas [110]. Urbanization and development are likely to continue in the future, so it is necessary to prepare measures to maintain the balance of forest conservation and forest loss between urbanization and regional development.…”
Section: Model Fitness Testsupporting
confidence: 78%
“…Urbanization causes forest loss by generating high demand for residential facilities and infrastructure facilities in neighboring areas, especially in the development area, as the population and the number of households increase beyond simple regional development [108,109]. This is consistent with the results of Chen et al that forest loss occurred due to urban development including the increase of roads and residential areas [110]. Urbanization and development are likely to continue in the future, so it is necessary to prepare measures to maintain the balance of forest conservation and forest loss between urbanization and regional development.…”
Section: Model Fitness Testsupporting
confidence: 78%
“…Landsat 8 remote sensing images were used as data sources to interpret ecological space data obtained in 2018. Through random sampling inspections, the accuracy rates of land-use classifications were greater than 94% (Table S1), which can be used to explain the land changes [10,27].…”
Section: Study Areamentioning
confidence: 99%
“…This study used both questionnaire and field surveys to construct an evaluation framework by developing ecological quality and ecological health indices with which decision-makers, stakeholders, the public, experts, and policy goals are concerned. We used the Pearl River Delta (PRD) urban agglomeration as a case study, which is one of the most developed, densely populated, and highly urbanized areas in China [27]. Our goals were to: (1) Construct a framework to identify priority ecological restoration areas based upon the combination of ecological quality and health; (2) perform a cluster analysis of the restoration areas' ecological indices and identify ecological restoration bundles, and (3) explore the characteristics of ecological restoration bundles and offer suggestions for ecological management.…”
Section: Introductionmentioning
confidence: 99%
“…The Gannan area of Jiangxi Province is an ecological geographical barrier in southern China. The forest ecosystem in the area is influenced by geographical and human factors simultaneously so that a single landscape index may not adequately reflect changes in forest landscape [27]. Consequently, there is an urgent need for a variety of methods to analyze forest landscape trends.…”
Section: Introductionmentioning
confidence: 99%