2023
DOI: 10.3390/f14122376
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Assessing Spatio-Temporal Variation and Associated Factors of Forest Fragmentation from Morphological Spatial Pattern Analysis and Geo-Detector Analyses: A Case Study of Xinyu City, Jiangxi Province of Eastern China

Yin Zhang,
Xin Li,
Mingshi Li

Abstract: In the context of economic boom and climate change, monitoring the spatio-temporal dynamics of forest fragmentation induced by disturbances and understanding its corresponding associated factors are critical for developing informed forest management strategies. In this study, based on multi-temporal Landsat images acquired from 1999 to 2020, a SVM classifier was first applied to produce high-accuracy land cover maps in Xinyu City. Next, morphological spatial pattern analysis (MSPA) was implemented to character… Show more

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Cited by 3 publications
(2 citation statements)
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References 91 publications
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“…The theory of the landscape process in landscape ecology can make up for the deficiencies mentioned above. A landscape process model was validated in quantifying the spatial evolution of landscapes in the United States, Nepal, China and other countries [24][25][26][27][28]. Based on topology theory, landscape fragmentation models, landscape restoration process models and other models have been used to classify the evolution of landscapes over a period of time.…”
Section: Introductionmentioning
confidence: 99%
“…The theory of the landscape process in landscape ecology can make up for the deficiencies mentioned above. A landscape process model was validated in quantifying the spatial evolution of landscapes in the United States, Nepal, China and other countries [24][25][26][27][28]. Based on topology theory, landscape fragmentation models, landscape restoration process models and other models have been used to classify the evolution of landscapes over a period of time.…”
Section: Introductionmentioning
confidence: 99%
“…In response to these limitations, Morphological Spatial Pattern Analysis (MSPA) has emerged as a powerful analytical tool in the field of urban research (Lian and Feng, 2022; Zhang et al ., 2023). MSPA goes beyond the capabilities of traditional LULC analysis by providing a detailed and structured approach to deciphering the spatial patterns of urban growth (Wang and Banzhaf, 2018).…”
Section: Introductionmentioning
confidence: 99%