王金亮导师团队学术论文在SCIE期刊Applied ecology and environmental research上线发表

2022年6月1日，以潘继亚（云南师范大学地理学部地图学与地理信息系统专业2019级博士研究生）为第一作者，王金亮教授为通讯作者所撰写的题为“Estimation of ecological asset values in Shangri_la based on remotely sensed data”的学术论文在SCIE期刊Applied ecology and environmental research上线发表（http://dx.doi.org/10.15666/aeer/2004_28792895）。

生态资产是国民经济与社会可持续发展的重要物质基础，是绿色GDP核算与生态安全评价的基础。滇西北是云南省重要林区和退耕还林区，生境类型丰富而脆弱，受到人类活动的干扰日益强烈，其生态功能和自然资源价值发生着较快变化，急需开展生态资产价值估算研究。以香格里拉市为研究区，综合运用遥感数据、气象数据、地面观测调查数据与统计数据等，开展了研究区生态资产遥感估算初步研究。结果表明：（1）在资源环境成本估价方法的确定与资料获取等方面所面临巨大困难的条件下，研究区生态资产遥感估算选择区域生态资产价值总量模型与单项生态资产价值评估模型，从涵养水源、保持水土、调节气候、营养循环、生产有机质和文娱价值6个方面对香格里拉市生态资产进行估算是比较适合的。（2）从生态资产构成来看，香格里拉各生态资产价值中调节气候和涵养水源价值在总值上贡献是最大的，排序为调节气候>涵养水源>生产有机质>营养物质循环>保持水土>文娱价值；单位面积单项生态资产价值排序为涵养水源>调节气候>保持水土>生产有机质>营养物质循环>文娱价值。（3）从生态系统类型来看，林地和灌草地在生态资产总值上贡献是最大的，生态资产价值排序为：林地>灌草地>农业用地>永久雪地冰川>未利用地>水域>人工用地>湿地；单位面积各生态系统类型生态资产价值排序为：农业用地>林地>灌草地>水域>湿地>人工用地>永久雪地冰川>未利用地。通过研究生态系统的经济价值，将其纳入国民经济核算体系，使人们在开发利用自然资源时能做出正确合理的决定尤为重要。

    该论文得到了王金亮教授主持的国家重点研发计划政府间国际科技创新合作重点专项：用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），国家自然基金项目（41961060）；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）；云南省教育厅科学研究基金项目（2020J0256）；以及云南师范大学研究生科研创新基金（ysdyjs2020060）的资助。

论文相关信息

标题：Estimation of ecological asset values in Shangri_la based on remotely sensed data

作者：Pan, J. Y.^1,2,3 – Wang, J. L.^1,2,3* – Liu, G. J.⁴ – Gao, F.⁵

通讯作者：Jinliang Wang

作者单位：

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

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

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

⁴ College of Resources and Environment, Yunnan Agricultural University, Kunming 650201, China;

⁵Yunnan Minzu University, Kunming 650500, China

出版物：Applied ecology and environmental research（SCIE 四区, 2020-2021最新IF: 0.711）

摘要：Ecological assets are an important material base of the national economy and sustainable social development. Shangri-La, China is an important area of forest and farmland that has been returned to forest, but the ecological environment is fragile. It is urgent to start to an ecological asset values estimation study. Choosing remote sensing data, meteorological data, surface observations and statistics as the data sources. The results show: (1) From the perspective of ecological assets, adjusting climate and water conservation contribute the most.(2) In the context of single ecological asset value per unit area, the sequence from highest to lowest is the following, water conservation > adjusting climate > soil and water conservation > production of organic matter > nutrient circulation > cultural entertainment.(3) From the perspective of the type of ecological system, forest and shrub grassland contribute the most. (4) From the value of ecological assets per unit area of each ecosystem type, agricultural land > forest > shrub grassland > waters > wetland > artificial land > permanent snow glacier > unutilized land. It is particularly significant for people to make reasonable decisions when exploiting and utilizing natural resources which can be aided by an ecological asset values estimation study.

关键字：ecological environment, ecosystem services, CASA model, soil and water conservation, net primary productivity

附录1 潘继亚同学博士期间发表学术论文清单

自2019年9月攻读博士至今，潘继亚在王金亮教授指导下共发表了2篇学术论文，信息如下：

[2]Pan, J. Y., Wang, J. L., Liu, G. J., Gao, F. Estimation of ecological asset values in Shangri_la based on remotely sensed data [J]. Applied ecology and environmental research, 2022, 20(4):2879-2895.

DOI: http://dx.doi.org/10.15666/aeer/2004_28792895 . (SCIE 四，2020-2021最新IF: 0.711)

[1]潘继亚,王金亮,高帆. 滇西北高山峡谷典型区土地利用变化与生态安全评价研究[J]. 生态科学, 2022, 41(2): 29–40. (北大核心, CSCD扩展库)

附录2 王金亮团队2022年1月至目前发表论文清单

[7] Pan, J. Y.^1,2,3 – Wang, J. L.^1,2,3* – Liu, G. J.⁴ – Gao, F.⁵ Estimation of ecological asset values in Shangri_la based on remotely sensed data [J]. Applied ecology and environmental research, 2022, 20(4):2879-2895. DOI: http://dx.doi.org/10.15666/aeer/2004_28792895 . (SCIE 四，2020-2021最新IF: 0.711)

[6]Jie Li, Suling He, Jinliang Wang*, Weifeng Ma, Hui Ye. Investigating the spatiotemporal changes and driving factors of nighttime light patterns in RCEP Countries based on remote sensed satellite images [J]. Journal of Cleaner Production, 2022, 131944. DOI: https://doi.org/10.1016 /j.jclepro.2022.131944. (SCIE，一区，Top，2020-2021最新IF: 9.297)

[5]潘继亚, 王金亮, 高帆. 滇西北高山峡谷典型区土地利用变化与生态安全评价研究[J]. 生态科学, 2022, 41(2): 29–40. (北大核心, CSCD扩展库)

[4] Jie Li, Jinliang Wang*, Jun Zhang, Chenli Liu, Suling He, Lanfang Liu. Growing-season vegetation coverage patterns and driving factors in the China-Myanmar Economic Corridor based on Google Earth Engine and geographic detector [J]. Ecological Indicators, 2022, 136, 108620.

DOI: https://doi.org/10.1016/j.ecolind.2022.108620.  (SCIE，二区，2020-2021最新IF: 4.958)

[3]农兰萍,王金亮,玉院和.基于地理加权回归模型和不同植被特征参数的TRMM 3B43降尺度研究——以云南省为例[J].兰州大学学报(自然科学版), 2022, 58(01): 99-110+117. DOI:10.13885/j.issn.0455-2059.2022.01.011.  ( CSCD核心库) 

[2] Jianpeng Zhang, Jinliang Wang*, Pinliang Dong, Weifeng Ma, Yicheng Liu, Qianwei Liu, Zhiyan Zhang. Tree stem extraction from TLS point-cloud data of natural forests based on geometric features and DBSCAN[J]. Geocarto International, Published online: 08 Feb 2022. DOI: 10.1080/10106049.2022.2034988

[1] Yuanhe Yu, Xingqi Sun, Jinliang Wang*, Jianpeng Zhang. Using InVEST to evaluate water yield services in Shangri-La, Northwestern Yunnan, China[J]. PeerJ, 2022, online.

DOI: https://doi.org/10.7717/peerj.12804  (SCIE，三区，2020-2021年IF: 2.984)