资源与环境遥感团队学术论文在SSCI二区期刊《Land》上线发表

2024年06月06日，以何苏玲（云南师范大学地理学部地图学与地理信息系统专业2023级博士生）为第一作者，云南师范大学地理学部王金亮教授为通讯作者，云南师范大学地理学部周京春老师等为共同作者，所撰写的题为 “Quantification and Simulation of the Ecosystem Service Value of Karst Region in Southwest China”的学术论文在SSCI二区期刊《Land》上线发表 (https://doi.org/10.3390/land13060812).

云南省是中国西南喀斯特地区的核心区域，随着“退耕还林”等生态项目的实施，其生态系统结构和功能发生了巨大变化。因此，量化该地区生态系统的变化至关重要。生态系统服务价值(ESV)是评估区域生态系统的最重要指标之一。区域 ESV 会受到生态系统服务的动态性和区域性的影响。然而，以往的研究忽略了生态系统服务的时空异质性对 ESV 评估的影响。为了更准确地评估区域 ESV，我们利用云南省不同种植区的社会经济数据、净初级生产力、降水量和水土保持数据，从时空异质性的角度构建了不同种植区的动态当量表。然后，利用当量因子法准确评估了云南省不同农业种植区 1990-2020 年的ESV特征，并利用PLUS模型预测了云南省 2030 年的生态系统服务价值。最后，提出了云南省不同种植区的生态系统服务提升策略，以促进该地区的生态系统管理和保护。

Fig.1. A map of Yunnan Province

Fig. 2. Process used in the present study to calculate the ESV of Yunnan Province, China.

Fig.3. ESV in the study area from 1990 to 2020: (a) Yunnan Province, (b) Sub-region I, (c) Sub-region II, (d) Sub-region III, (e) Sub-region IV, (f) Sub-region V.

Fig.4. Spatial distribution of ecosystem service value (ESV) in Yunnan Province, China: (a) 1990, (b) 2000, (c) 2010, (d) 2020.

 Fig.5. Spatial distribution and area of LULC and ESV in Yunnan Province China in 2030: (a) Spatial distribution of LULC, (b) Spatial distribution of ESV, (c) LULC area, (d) ESV.

该论文得到了王金亮教授主持的云南省重大科技专项计划（云南省西南联合研究生院科技专项-基础研究和应用基础研究重大项目）：“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”（项目编号：202302AO370003），国家重点研发计划多政府国际科技创新合作重点项目 “利用地理空间技术进行土地利用/土地覆盖变化对生态安全影响的环境监测与评估”（2018YFE0184300）共同资助。

这是何苏玲同学博士期间以第一作者发表的第1篇SCI学术论文（详见附录1、附录2），此篇论文也是王金亮教授导师团队2024年发表的第7篇SCIE/SSCI论文（详见附录3）。让我们恭喜何苏玲同学！希望她再接再厉！也热烈祝贺资源与环境遥感研究团队取好成绩！

附录 1 论文相关信息

标题：Quantification and Simulation of the Ecosystem Service Value of Karst Region in Southwest China

作者：Suling He^1,2,3,4, Jinliang Wang^1,2,3,4,*, Jie Li^1,2,3, JinmingSha⁵, Jinchun Zhou^1,2,3 and Yuanmei Jiao^1,2,3

通讯作者：Jinliang Wang

作者单位：

¹ Faculty of Geography, Yunnan Normal University, Kunming 650500, China;

² Key Laboratory of Resources and Environmental Remote Sensing for Universities in Yunnan, Kunming 650500, China

³ Center for Geospatial Information Engineering and Technology of Yunnan Province, Kunming 650500, China

⁴ Southwest United Graduate School, Kunming 650092, China

⁵ School of Geographical Science, Fujian Normal University, Fuzhou 350007, China

出版物：Land

摘要：Regional ecosystem service value (ESV) is significantly influenced by factors such as land use/cover change (LUCC). In this study, from the perspective of spatio-temporal heterogeneity, we constructed a dynamic and zonal equivalence table of ecosystem service values using the equivalence factor method and analyzed the spatio-temporal changes in ecosystem service values of different agricultural plantation regions of the karst mountainous areas of southwestern China (Yunnan Province, YP) in the years from 1990 to 2020. Also, the ESV of YP in 2030 was simulated using the Patch-generating Land Use Simulation (PLUS) model. The results showed the following: (1) land use/land cover (LULC) in YP from 1990 to 2020 was dominated by needle-leaved forestland, broadleaved forestland, grassland, and rainfed cropland. (2) The total ESV in YP fluctuated between CNY 876.74 and 1323.68 B from 1990 to 2020, expanding at a rate of 50.98%. The largest portion of the total ESV comes from climate regulation. The ESV increased from east to west, and the positive spatial correlation of the ESV gradually weakened. (3) The ESV in YP was projected to reach CNY 1320.70 B by 2030, representing a decrease of ~ CNY 2.98 B since 2020. The results showed a decline in the ecological environment’s quality in YP.

关键词：land use/cover change (LUCC); dynamic equivalent; ecosystem service value (ESV); Patch-generating Land Use Simulation (PLUS) mode; Yunnan province

附录2 何苏玲同学发表论文清单

自 2023 年 9 月攻读博士至今，何苏玲同学在王金亮教授指导下发表了 1 篇 SCI 学术论文，信息如下：

[1] Suling He, Jinliang Wang*, Jie Li, Jinming Sha, Jinzhun Zhou, Yuanmei Jiao, Quantification and Simulation of the Ecosystem Service Value of Karst Region in Southwest China, Land, 2024, 13(6): 812. https://doi.org/10.3390/land13060812. (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF 3.9)

附录 3 王金亮教授团队 2024 年发表论文清单

自2024年01月01日至06月06日，王金亮教授导师团队发表学术论文7篇（仅仅统计王金亮教授为通讯作者的论文），其中SCIE论文6篇、SSCI论文1篇。具体信息如下：

[7] Suling He, Jinliang Wang*, Jie Li, Jinming Sha, Jinzhun Zhou, Yuanmei Jiao, Quantification and Simulation of the Ecosystem Service Value of Karst Region in Southwest China, Land, 2024, 13(6): 812. https://doi.org/10.3390/land13060812. (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF 3.9)

[6] Lanfang Liu, Yan Liu, Feng Cheng, Yuanhe Yu, Jinliang Wang*, Cheng Wang , Lanping Nong, Huan Deng, Remote sensing estimation of regional PM_2.5 Based on GTWR Model -A case study of southwest China, Environmental Pollution, 2024, 124057.https://doi.org/10.1016/j.envpol.2024.124057 (中科院 SCI期刊分区：2023年12月最新升级版二区Top期刊，2024 年 IF 8.9)

[5] Rafael Antonio Chaparro Torres, Jinliang Wang, Jianpeng Zhang, Lanfang Liu, Yongcui Lan, Temporal analysis of land degradation and urban expansion in central Yunnan Province using remote sensing for supporting sustainable development goals 11/15, Ecological Indicators, Volume 163, 2024, 112058, ISSN 1470-160X, https://doi.org/10.1016/j.ecolind.2024.112058  (中科院 SCI 期刊分区：2023年12月最新升级版二区Top期刊，2024 年 IF 6.9)

[4] Gao, Y., Wang, J. *, Liu, S. *, Yao, X., Qi, M., Liang, P., Xie, F., Mu, J., Ma, X. Monitoring dynamics of Kyagar Glacier surge and repeated draining of Ice-dammed lake using multi-source remote sensing[J]. Science of The Total Environment, 2024, 172467. https://doi.org/10.1016/j.scitotenv.2024.172467 (中科院 SCI 期刊分区：2023年12月最新升级版一区Top期刊，2024 年 IF 9.8)

[3] Xu, Haichao, Rongqing Han, Jinliang Wang*, and Yongcui Lan.Temporal–Spatial Characteristics and Influencing Factors of Forest Fires in the Tropic of Cancer (Yunnan Section)[J]. Forests, 2024, 15, 661. https://doi.org/10.3390/f15040661 (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF 2.9)

[2] Yanke Zhang, Tengfei Gu, Suling He, Feng Cheng, Jinliang Wang*, et al. Extreme drought along the tropic of cancer (Yunnan section) and its impact on vegetation[J]. Scientific reports, 2024, 14, 7508. https://doi.org/10.1038/s41598-024-58068-w. (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF4.6)

[1] Di Duan, Yuncheng Deng, Jianpeng Zhang, Jinliang Wang*, et al. Influence of VF and SOR-Filtering Methods on Tree Height Inversion Using Unmanned Aerial Vehicle LiDAR Data[J]. Drones, 2024, 8(4), 119. https://doi.org/10.3390/drones8040119. (中科院 SCI 期刊分区：2023年12月最新升级版二区，2024 年 IF4.8)

（云南省高校资源与环境遥感重点实验室  供稿）