王金亮教授团队学术论文在SCIE二区期刊Ecological Indicators上线发表

2023年12月1日，以兰永翠（云南师范大学地理学部地图学与地理信息系统专业2021级硕士研究生）为第一作者，王金亮教授为通讯作者所撰写的题为“Identification of critical ecological restoration and early warning regions in the five-lakes basin of central Yunnan”的学术论文在SCI/SCIE二区期刊《Ecological Indicators》上线发表(https://doi.org/10.1016/j.ecolind.2023.111337).

科学识别国土空间生态修复关键区并合理预警生态薄弱区对实施国土生态修复具有极其重要的现实意义。研究选择云南省中部的五大高原湖泊盆地作为研究区域，利用源-阻力面-走廊-节点框架构建生态安全格局（ESP），以有效识别生态恢复的关键区域。最后，基于自然发展（NDP）、城市优先发展（PUD）和生态保护发展（PEP）等情景模拟了2030年该地区的土地利用/覆盖变化情况，并把未来城市扩张可能威胁到当前生态源区和走廊的区域作为早期预警区。结果表明：（1）五湖流域生态源地共15个，主要为林地和水域，面积共787.54km²，占研究区总面积的17%；源间生态廊道共计245.72km，总面积为439.90km²；（2）通过构建生态安全格局识别滇中五湖流域生态修复关键区域，包括72.87km²的生态“夹点”、70.46km²的生态障碍点以及71个生态断裂点；（3）在自然发展情景中和城镇发展情景中，生态用地受到不同程度的损害；在生态保护情景中，林地、水域得到有力的保护，建设用地增幅有所下降。 （4）7个生态保护空间预警点主要分布在经济发展较好并且生境质量也比较好的滇池东部以及抚仙湖北部区域。综上，研究综合分析识别出五湖流域的生态修复关键区，预警未来建设用地扩张对生态安全格局造成胁迫的区域，并根据当前土地利用和未来情景提出了恢复策略，以期进一步优化滇中五湖流域的生态安全格局。

Fig. 1. Geographical location and basic information of the Five-Lakes Basin.

Fig. 2. Technology roadmap of this study.

Fig. 3. Identification process of ecological sources.

Fig. 4. Construction process of the ESP (a: resistance factors; b: comprehensive resistance surface; c: ecological source; d: identification of ecological corridors; e: basic ecological security pattern).

Fig. 5. Distribution of ecological nodes in the Five-Lakes Basin of Central Yunnan.

Fig. 6. Distribution of land types and each land use type expansion areas in the Five-Lakes Basin of Central Yunnan in 2030 under different scenarios.

Fig. 7. Distribution of ecological early warning regions in the Five-Lakes Basin of Central Yunnan.

该论文得到了王金亮教授主持的西南联合研究生院科技专项：云南金沙江流域矿区植被多模态遥感动态监测及生态修复模式研究、国家重点研发计划政府间国际科技创新合作重点专项：地理空间技术监测和评估土地利用/土地覆被变化对区域生态安全的影响（2018YFE0184300）、云南省高校高原山地资源环境遥感监测与评估科技创新团队 （IRTSTYN）、和国家自然科学基金 (41561048)以及云南师范大学研究生科研创新基金（项目号：YJSJJ23-B141）的共同资助。

这是兰永翠同学硕士期间以第一作者发表的第2篇SCIE学术论文（详见录 1，2），也是王金亮教授导师团队 2023年发表的第8篇 SCI/SCIE 论文(详见录 3)，让我们恭喜兰永翠同学！希望她再接再厉！也热烈祝贺团队取好成绩！

附录 1 论文相关信息

标题：Identification of critical ecological restoration and early warning regions in the five-lakes basin of central Yunnan

作者：Yongcui Lan ^a,b,c , Jinliang Wang ^a,b,c,* , Qianwei Liu ^d , Fang Liu ^a,b,c , Lanfang Liu ^a,b,c , Jie Li ^a,b,c , Mengjia Luo ^a,b,c

通讯作者：Jinliang Wang

作者单位：

a Faculty of Geography, Yunnan Normal University, Kunming, Yunnan, China

b Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, Yunnan, China

c Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming, Yunnan, China

d Yunnan Data & Application Center of China High-resolution Earth Observation System

^* Corresponding author:

E-mail: jlwang@ynnu.edu.cn (JW)

出版物： Ecological Indicators

摘要：The scientific determination of crucial regions for ecological land restoration and reasonable early warnings for ecologically weak areas are vital for implementing land ecological restoration. Five major plateau lake basins in central Yunnan (China) are selected as the study area in this research. An ecological security pattern (ESP) is constructed using the source-resistance surface-corridor-pinch point framework to effectively identify crucial areas for ecological restoration. Finally, the land use/cover change (LUCC) in the study region in 2030 is simulated in terms of the natural development prospect (NDP), with priority given to urban development (PUD) and priority given to ecological protection (PEP) scenarios, and identify areas where future urban expansion poses a threat to current ecological source areas and corridors as early warning regions. The results indicate the following: (1) There are 15 ecological source regions in the Five Lakes Basin, mainly forestland and waters, with a total area of 787.54 km2 . The ecological corridor spans 245.72 km, with a total area of 439.90 km2 . (2) The key ecological restoration areas include 72.87 km2 of ecological pinch points, 70.46 km2 of barrier points of ecological, and 71 breakpoints. (3) The ecological land under the NDP scenario and the PUD scenario were damaged to varying degrees. The ecological land dominated by forestland and water area under the PEP scenario is effectively protected. (4) The seven ecological protection space early warning points are mainly distributed in the eastern part of Dianchi Lake and the northern part of Fuxian Lake, which have good economic development and better habitat quality. The comprehensive analysis identified key ecological restoration areas and identified future ecological stresses due to land use change in the Five-Lakes Basin. Restoration strategies are proposed based on current land use and future scenarios to enhance the ESP in central Yunnan’s Five Lakes Basin.

关键字：ecological restoration; ecological early warning; ecological security patterns; PLUS model; The Five-Lakes Basin of Central Yunnan

附录2 兰永翠同学发表论文清单

自 2021 年 9 月攻读硕士至今，兰永翠同学在王金亮教授指导下发表了 2 篇 SCI 学术论文，信息如下：

[1] Yongcui Lan, Jinliang Wang*, Wenying Hu, Eldar Kurbanov, Janine Cole, Jinming Sha, Yuanmei Jiao, Jingchun Zhou. Spatial pattern prediction of forest wildfire susceptibility in Central Yunnan Province, China based on multivariate data[J]. Natural Hazard, 2022, Online. DOI: https://doi.org/10.1007/s11069-022-05689-x. (中科院 SCI 期刊分区：2021年12月最新基础版三区，升级版三区，2021 年 IF 3.158)

[2] Yongcui Lan, Jinliang Wang*, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo. Identification of critical ecological restoration and early warning regions in the five-lakes basin of central Yunnan[J]. Ecological Indicators,2023.DOI: https://doi.org/10.1016/j.ecolind.2023.111337. (中科院 SCI 期刊分区：2021年12月基础版二区，升级版二区，2023年最新IF：6.9)

附录 3 王金亮教授团队 2023 年发表论文清单

自2023年01月01日至12月1日，王金亮教授导师团队发表学术论文12篇，其中SCIE论文8篇，CSCD3篇，普刊1篇。具体信息如下：

[12] Yongcui Lan, Jinliang Wang*, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo. Identification of critical ecological restoration and early warning regions in the five-lakes basin of central Yunnan[J]. Ecological Indicators,2023.DOI: https://doi.org/10.1016/j.ecolind.2023.111337. (中科院 SCI 期刊分区：2021 年 12 月最新基础版二区，升级版二区，2023年最新IF：6.9)

[11] Luo M, Wang J, Li J, Sha J, He S, Liu L, et al. (2023) The response of ecological security to land use change in east and west subtropical China. PLoS ONE 18(11): e0294462. https://doi.org/10.1371/journal.pone.0294462（2021年12月基础版三区，2022年12月最新升级版三区，2023年最新IF：3.7）

[10]Sikai Wang, Suling He, Jinliang Wang *, Jie Li, Xuzhen Zhong, Janine Cole, Eldar Kurbanov, Jinming Sha. Analysis of Land Use/Cover Changes and Driving Forces in a Typical Subtropical Region of South Africa[J], Remote Sensing. 2023，15(19): 4823.   https://doi.org/10.3390/rs15194823 （2021年12月基础版二区，2022年12月最新升级版二区，2023年最新IF：5.349）

[9] Hong Zhu, Feng Cheng, Jinliang Wang*, Yuanmei Jiao, Jingchun Zhou, Jinming Sha, Fang Liu, and Lanping Nong. Variation in the Ecological Carrying Capacity and Its Driving Factors of the Five Lake Basins in Central Yunnan Plateau, China[J]. Sustainability 2023, 15, 14442.  https://doi.org/10.3390/su151914442（中科院SCI期刊分区：2021年12月基础版三区，2022年12月最新升级版三区，2023年最新IF3.889）

[8] 邵大江,叶辉,王金亮*,周京春,角媛,沙晋明. 基于机器学习均值化的地质灾害易发性评价[J]. 云南大学学报（自然科学版）, 2023, 45(3): 653-665. DOI:10.7540/j.ynu.20220109.  (CSCD核心库)

[7] Jie Li, Hui Wang, Jinliang Wang*, Jianpeng Zhang, Yongcui Lan, Yuncheng Deng. Combining Multi-Source Data and Feature Optimization for Plastic-Covered Greenhouse Extraction and Mapping Using the Google Earth Engine: A Case in Central Yunnan Province, China [J]. Remote Sensing, 2023, 15, 3287. DOI: https:// doi.org/10.3390/rs15133287. (中科院SCI期刊分区：2021年12月基础版二区，2022年12月最新升级版二区Top，2023年最新IF5.349)

[6]张建鹏;王金亮*;刘广杰;麻卫峰;刘钱威;邓云程. 基于地基雷达点云主方向的林下植被自动滤除[J], 遥感技术与应用, 2023，38（2）：405-412. DOI：10.11873/j.issn.1004-0323.2023.2.0405  (CSCD核心库)

[5]何苏玲，贺增红，潘继亚，王金亮*．基于多模型的县域土地利用/土地覆盖模拟[J/OL]．自然资源遥感. 2023-04-03网络首发. https://kns.cnki.net/kcms/detail/10.1759.P. 20230331.1810.004.html  (CSCD核心库)

[4]成钊，王金亮*，何苏玲，祁兰兰. 基于多源数据的滇中地区生态韧性度研究[J]. 云南地理环境研究, 2023, 35(02)：7-16

[3] Jianpeng Zhang, Jinliang Wang*, Weifeng Ma, Yuncheng Deng, Jiya Pan, Jie Li. Vegetation Extraction from Airborne Laser Scanning Data of Urban Plots Based on Point Cloud Neighborhood Features [J]. Forests, 2023, 14(4), 691. DOI: https://doi.org/10.3390/f14040691. (中科院SCI期刊分区：2021年12月基础版三区， 2022年12月最新升级版二区，2022年IF 3.282)

[2] Jun Ma, Jianpeng Zhang, Jinliang Wang *, Vadim Khromykh, Jie Li, Xuzheng Zhong. Global Leaf Area Index Research over the Past 75 Years: A Comprehensive Review and Bibliometric Analysis [J]. Sustainability, 2023. DOI: https://doi.org/10.3390/su15043072. (中科院SCI期刊分区：2021年12月基础版三区，2022年12月最新升级版三区，2022年IF 3.889)

[1] Lei Liang, Jinliang Wang*, Fei Deng, Deyang Kong. Mapping Pu'er tea plantations from GF-1 images using Object-Oriented Image Analysis (OOIA) and Support Vector Machine (SVM) [J]. PLOS ONE, 2023. DOI: https://doi.org/10.1371/journal.pone. 0263969. (中科院SCI期刊分区： 2021年12月基础版三区，2022年12月最新升级版三区，2022年IF 3.752)

（云南省高校资源与环境遥感重点实验室  供稿）