Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China
文献类型：期刊论文
| 作者 | Shen, Wenjuan2,3; Mao, Xupeng2; He, Jiaying1; Dong, Jinwei4 ; Huang, Chengquan1; Li, Mingshi2,3
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| 刊名 | REMOTE SENSING
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| 出版日期 | 2020 |
| 卷号 | 12期号:1页码:25 |
| 关键词 | urban forest cover cellular automation-Markov chain model state-and-transition simulation modeling spatiotemporal resolution forest area density forest interior |
| DOI | 10.3390/rs12010155 |
| 通讯作者 | Li, Mingshi(nfulms@njfu.edu.cn) |
| 英文摘要 | Accurate acquisition of the spatiotemporal distribution of urban forests and fragmentation (e.g., interior and intact regions) is of great significance to contributing to the mitigation of climate change and the conservation of habitat biodiversity. However, the spatiotemporal pattern of urban forest cover changes related with the dynamics of interior and intact forests from the present to the future have rarely been characterized. We investigated fragmentation of urban forest cover using satellite observations and simulation models in the Nanjing Laoshan Region of Jiangbei New Area, Jiangsu, China, during 2002-2023. Object-oriented classification-based land cover maps were created to simulate land cover changes using the cellular automation-Markov chain (CA-Markov) model and the state transition simulation modeling. We then quantified the forest cover change by the morphological change detection algorithm and estimated the forest area density-based fragmentation patterns. Their relationships were built through the spatial analysis and statistical methods. Results showed that the overall accuracies of actual land cover maps were approximately 83.75-92.25% (2012-2017). The usefulness of a CA-Markov model for simulating land cover maps was demonstrated. The greatest proportion of forest with a low level of fragmentation was captured along with the decreasing percentage of fragmented area from 81.1% to 64.1% based on high spatial resolution data with the window size of 27 pixels x 27 pixels. The greatest increase in fragmentation (3% from 2016 to 2023) among the changes between intact and fragmented forest was reported. However, intact forest was modeled to have recovered in 2023 and restored to 2002 fragmentation levels. Moreover, we found 58.07 km(2) and 0.35 km(2) of interior and intact forests have been removed from forest area losses and added from forest area gains. The loss rate of forest interior and intact area exceeded the rate of total forest area loss. However, their approximate ratio (1) implying the loss of forest interior and intact area would have slight fragmentation effects on the remaining forests. This analysis illustrates the achievement of protecting and restoring forest interior; more importantly, excessive human activities in the surrounding area had been avoided. This study provides strategies for future forest conservation and management in large urban regions. |
| WOS关键词 | CLASSIFICATION CHANGE DETECTION ; LAND-USE CHANGE ; HABITAT FRAGMENTATION ; RED EDGE ; ACCURACY ; DEFORESTATION ; RESOLUTION ; IMPACT ; MODEL ; MAPS |
| 资助项目 | Natural Science Foundation of China[31971577] ; Natural Science Foundation of China[31670552] ; China Postdoctoral Science Foundation[2019M651842] ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) ; 2019 Postdoctoral Fellowships of Jiangsu Province ; 2017 Qinglan project - Jiangsu Province |
| WOS研究方向 | Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000515391700155 |
| 出版者 | MDPI |
| 资助机构 | Natural Science Foundation of China ; China Postdoctoral Science Foundation ; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD) ; 2019 Postdoctoral Fellowships of Jiangsu Province ; 2017 Qinglan project - Jiangsu Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/132586]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Mingshi |
| 作者单位 | 1.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA 2.Nanjing Forestry Univ, Coll Forestry, Nanjing 210037, Peoples R China 3.Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing 210037, Peoples R China 4.Chinese Acad Sci, Key Lab Land Surface Pattern & Simulat, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shen, Wenjuan,Mao, Xupeng,He, Jiaying,et al. Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China[J]. REMOTE SENSING,2020,12(1):25. |
| APA | Shen, Wenjuan,Mao, Xupeng,He, Jiaying,Dong, Jinwei,Huang, Chengquan,&Li, Mingshi.(2020).Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China.REMOTE SENSING,12(1),25. |
| MLA | Shen, Wenjuan,et al."Understanding Current and Future Fragmentation Dynamics of Urban Forest Cover in the Nanjing Laoshan Region of Jiangsu, China".REMOTE SENSING 12.1(2020):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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