Please wait a minute...
img

官方微信

遥感技术与应用  2021, Vol. 36 Issue (6): 1329-1338    DOI: 10.11873/j.issn.1004-0323.2021.6.1329
遥感应用     
基于遥感与生态服务模型的青岛市生态保护重要性评价
李杰1,2(),贾坤1,2(),张宁3,4,魏香琴5,王冰1,2
1.北京师范大学 地理科学学部 遥感科学国家重点实验室,北京 100875
2.北京师范大学 北京市陆表遥感数据产品工程技术研究中心,北京 100875
3.住房和城乡建设部遥感应用中心,北京 100835
4.中国科学院地理科学与资源研究所,北京 100101
5.中国科学院空天信息创新研究院,北京 100101
Evaluation of Ecological Protection Importance in Qingdao based on Remote Sensing and Ecological Service Model
Jie Li1,2(),Kun Jia1,2(),Ning Zhang3,4,Xiangqin Wei5,Bing Wang1,2
1.State Key Laboratory of Remote Sensing Science,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China
2.Beijing Engineering Research Center for Global Land Remote Sensing Products,Faculty of Geographical Science,Beijing Normal University,Beijing 100875,China
3.Remote Sensing Application Center,Ministry of Housing and Urban-Rural Development,Beijing 100835,China
4.Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China
5.Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China
 全文: PDF(3517 KB)   HTML
摘要:

生态保护重要性评价是“双评价”的重要组成部分,是合理规划国土空间的重要依据。提出一种将遥感数据作为主要驱动数据,采用生态服务模型与生态敏感性指数相结合的生态保护重要性评价方法,定量评价了2018年青岛市陆域的生态保护等级。依据“双评价”标准,综合考虑区域内重要生态服务功能区、生态脆弱区和生态保护因子,划定青岛市生态保护重要性,并根据生态保护红线对评价结果进行验证和分析。结果表明:基于遥感与生态服务模型的生态保护重要性评价方法能够较好地评价区域生态保护重要性,青岛市生态保护重点区面积为1 125.57 km2,约占全市陆域面积的10.34 %,主要分布在青岛市东部的崂山片区、西南部的胶南山区以及北部的大泽山片区等生态系统服务功能较为丰富且生态敏感性较高的部分地区。研究提出的生态保护重要性评价方法为“双评价”工作的开展提供了良好的技术支撑,评价结果对于科学合理地编制城市发展规划和建设生态文明城市具有重要的参考价值。

关键词: 双评价生态保护重要性遥感数据生态服务模型青岛市    
Abstract:

The importance assessment of ecological protection is an important component of the "double evaluation". It can reflect the importance of ecological functions in different environments in the region, and protect the ecological security of the district which includes the ecologically fragile areas and the key areas of ecological service functions. This paper proposes an ecological protection importance assessment method, which uses remote sensing data as the main driving data and combines ecological service model and ecological sensitivity index to quantitatively evaluate the ecological protection level in the whole land area of ??Qingdao. The method comprehensively considers the important ecological service function area, fragile area and protection factors, delineate the importance of ecological protection in Qingdao. The assessment results are verified according to the ecological protection red line. The results show that the proposed method is reliable for ecological protection importance assessment, and the area of ??Qingdao's key ecological protection is 1 125.57 km2, accounting for 10.34 %, mainly distributed in the area where the ecological service functions are richer and the ecological sensitivity are more vulnerable, including Laoshan mountain region in the east, the Jiaonan mountain region in the southwest, and the Dazeshan region in the north. In this paper, remoting sensing data as the main driving data provides a good technology support for the "double evaluation", and the results have important reference for the scientific and rational compilation of urban development planning and construction of ecological civilization city.

Key words: Double evaluation    Ecological protection importance    Remote sensing    InVEST model    Qingdao
收稿日期: 2020-09-18 出版日期: 2022-01-26
ZTFLH:  TP79  
基金资助: 国家自然科学基金项目(42171318);国家重点研发计划项目(2016YFB0501404)
通讯作者: 贾坤     E-mail: lj081@mail.bnu.edu.cn;jiakun@bnu.edu.cn
作者简介: 李杰(1997-),女,山东济南人,硕士研究生,主要从事生态遥感研究。E?mail: lj081@mail.bnu.edu.cn
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
李杰
贾坤
张宁
魏香琴
王冰

引用本文:

李杰,贾坤,张宁,魏香琴,王冰. 基于遥感与生态服务模型的青岛市生态保护重要性评价[J]. 遥感技术与应用, 2021, 36(6): 1329-1338.

Jie Li,Kun Jia,Ning Zhang,Xiangqin Wei,Bing Wang. Evaluation of Ecological Protection Importance in Qingdao based on Remote Sensing and Ecological Service Model. Remote Sensing Technology and Application, 2021, 36(6): 1329-1338.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2021.6.1329        http://www.rsta.ac.cn/CN/Y2021/V36/I6/1329

图1  青岛市地理位置审图号:GS(2020)4618
图2  生态保护重要性评价技术路线
图3  生态系统服务功能重要性评价审图号:GS(2020)4618
图4  生态脆弱性评价审图号:GS(2020)4618
图5  生态保护等级审图号:GS(2020)4618
图6  生态保护重要性评价结果验证 审图号:GS(2020)4618
图7  生态保护重点区面积分区统计
1 Yan Shenghua, Huang Yuefei, Xiong Juan, et al.City and county land resource evaluation based on "Double Evaluation"——Taking Daye City as an example[J]. Territory & Natural Resources Study,2020(1):43- 47.
1 严圣华,黄跃飞,熊娟,等.基于“双评价”的市县土地资源评价——以大冶市为例[J].国土与自然资源研究,2020(1):43-47.
2 Wang Yafei, Fan Jie, Zhou Kan. The optimization of territorial space and regional function based on the integration of "double evaluation"[J]. Geographical Research, 2019, 38(10): 2415-2429.
2 王亚飞,樊杰,周侃.基于“双评价”集成的国土空间地域功能优化分区[J].地理研究,2019,38(10):2415-2429.
3 Ke Xinli, Cho Bangyong, Zheng Weiwei, et al. Multi-scenario simulation of urban-agricultural-ecological space delineation[J]. Journal of Geo-Information Science,2020,22(3):580-591.
3 柯新利,肖邦勇,郑伟伟,等.城镇—农业—生态空间划定的多情景模拟[J].地球信息科学学报,2020,22(3):580-591.
4 Stas M, Aerts R, Hendrickx M, et al. An evaluation of species distribution models to estimate tree diversity at genus level in a heterogeneous urban-rural landscape[J]. Landscape and Urban Planning, 2020, 198: 103770. DOI: 10.1016/j.landurbplan.2020.103770.
doi: 10.1016/j.landurbplan.2020.103770
5 Gallardo B, Castro-Díez P, Saldaña-López A, et al. Integrating climate, water chemistry and propagule pressure indicators into aquatic species distribution models[J]. Ecological Indicators,2020,112:106060. DOI:10.1016/j.ecolind.2019.106060.
doi: 10.1016/j.ecolind.2019.106060
6 Sun Lihui, Shu Chang, Liu Hao. Research on the Red Line of Ecological Protection and changes in ecosystem service value in Zhongshan City[J]. Journal of Xinyang Normal University (Natural Science Edition),2020, 33(2):226-234.
6 孙丽慧,舒昶,刘浩.中山市生态保护红线划定及其生态系统服务价值变化研究[J].信阳师范学院学报(自然科学版),2020,33(2):226-234.
7 Liu Shiliang, Zhao Shuang, Cheng Fangyan, et al. Comparative study on two evaluation methods of ecosystem services at the city scale[J]. Chinese Journal of Eco-Agriculture, 2018, 26(9):1315-1323.
7 刘世梁,赵爽,成方妍,等.市域尺度两种生态系统服务评价方法对比研究[J].中国生态农业学报,2018,26(9):1315-1323.
8 Lin Xueer, You Liping, Zhou Mengyao, et al. Comparison of county biodiversity importance evaluation models——taking Wuyishan City as an example[J]. Chinese Journal of Applied and Environmental Biology ,2020,26(1):195-200.
8 林雪儿,尤丽萍,周梦遥,等.县域生物多样性重要性评估模型比较——以武夷山市为例[J].应用与环境生物学报,2020,26(1):195-200.
9 Han Qing, Sun Zhongyuan, Sun Chengmiao, et al. The construction and application of a map of the status quo of land and space planning based on natural resources background——Taking Qingdao as an example[J]. Journal of Natural Resources, 2019 , 34(10): 2150-2162.
9 韩青,孙中原,孙成苗,等.基于自然资源本底的国土空间规划现状一张图构建及应用——以青岛市为例[J].自然资源学报,2019,34(10):2150-2162.
10 Xu X, Yang G, Tan Y. Identifying ecological red lines in China’s Yangtze River Economic Belt: a regional approach[J]. Ecological Indicators, 2019, 96: 635-646. DOI: 10.1016/j.ecolind.2018.09.052.
doi: 10.1016/j.ecolind.2018.09.052
11 Li Yi, Zhao Xiaomin, Guo Xi, et al. Optimization of ecological red line in the hilly region of Southern China based on InVEST and MCR model[J]. Journal of Natural Resources,2021,36(11):2980-2994.
11 李怡,赵小敏,郭熙,等. 基于InVEST和MCR模型的南方山地丘陵区生态保护红线优化[J].自然资源学报,2021,36(11):2980-2994.
12 Liu Jiao, Lang Xuedong, Su Jianrong, et al. Evaluation of water conservation function in the dry-hot valley area of Jinsha River Basin based on InVEST model[J]. Acta Ecologica Sinica, 2021,41(20):8099-8111.
12 刘娇,郎学东,苏建荣,等.基于InVEST模型的金沙江流域干热河谷区水源涵养功能评估[J].生态学报,2021,41(20):8099-8111.
13 Berta Aneseyee A, Noszczyk T, Soromessa T, et al. The InVEST Habitat Quality Model associated with land use/cover changes: a qualitative case study of the winike watershed in the Omo-Gibe Basin, Southwest Ethiopia[J]. Remote Sensing. 2020, 12, 1103. DOI:10.3390/rs12071103
doi: 10.3390/rs12071103
14 Jia K, Liang S, Gu X, et al. Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data[J]. Remote Sensing of Environment, 2016,177:184-191. DOI: 10.1016/j.rse.2016.02.019.
doi: 10.1016/j.rse.2016.02.019
15 Wang Liang, Meng Qingyan, Wu Jun, et al. Analysis of the spatial-temporal pattern of heat island intensity in major urban construction areas in Beijing from 2005 to 2014[J]. Journal of Geo-Information Science,2015,17(9):1047-1054.
15 王靓,孟庆岩,吴俊,等.2005~2014年北京市主要城建区热岛强度时空格局分析[J].地球信息科学学报,2015,17(9):1047-1054.
16 Fischer G,Nachtergaele F,Prieler S,et al.Global agro-ecological zones assessment for agriculture(GAEZ 2008)[DB/OL]. IIASA,Laxenburg,Austria and FAO,Rome,Italy,2008,10.
17 Droogers P, Allen R G. Estimating reference evapotranspiration under inaccurate data conditions[J]. Irrigation and drainage systems,2002,16(1):33-45. DOI:10.1023/A:1015508 322413.
doi: 10.1023/A:1015508 322413
18 Donohue R J, Roderick M L, McVicar T R. Roots, storms and soil pores: incorporating key ecohydrological processes into Budyko’s hydrological model[J]. Journal of Hydrology, 2012, 436: 35-50. DOI: 10.1016/j.jhydrol.2012.02.033.
doi: 10.1016/j.jhydrol.2012.02.033
19 He Shasha, Zhu Wenbo, Cui Yaoping, et al. Research on the characteristics of soil erosion in Qihe Basin of Taihang Mountains based on InVEST model[J]. Resources and Environment in the Yangtze River Basin,2019,28(2):426-439.
19 何莎莎,朱文博,崔耀平,等.基于InVEST模型的太行山淇河流域土壤侵蚀特征研究[J].长江流域资源与环境,2019,28(2):426-439.
20 Renard K G. Predicting soil erosion by water: a guide to conservation planning with the Revised Universal Soil Loss Equation (RUSLE)[M]. United States Government Printing, 1997.
21 Chang Chang, Wang Geng. Research on soil conservation function of Biliu River Basin based on InVEST model[J]. Territory & Natural Resources Study,2019(4):8-10.
21 常畅,王耕.基于InVEST模型的碧流河流域土壤保持功能研究[J].国土与自然资源研究,2019(4):8-10.
22 Zhang Wenjing, Sun Xiaoyin, Shan Ruifeng. Research on land use changes in coastal areas of Shandong Peninsula and their impact on habitat quality based on InVEST model[J]. Environmental Ecology,2019,1(5):15-23.
22 张文静,孙小银,单瑞峰.基于InVEST模型研究山东半岛沿海地区土地利用变化及其对生境质量的影响[J].环境生态学,2019,1(5):15-23.
23 Wang Zhiliang, Li Ying, Luo Jinming, et al. The evolution of the spatial and temporal pattern of habitat quality in the Nenjiang River Basin based on the InVEST model[J]. Environmental Ecology, 2020, 2(Z1): 19-26.
23 王治良,李英,罗金明,等.基于InVEST模型的嫩江流域生境质量时空格局演变[J].环境生态学,2020,2():19-26.
24 Minasny B, McBratney A B. Neurotheta, pedotransfer functions for predicting soil hydraulic properties for Australian soil[D]. Sydney. Australian Centre for Precision Agriculture, The University of Sydney, 2003.
25 Bao Yubin, Li Ting, Liu Hui, et al. Spatio-temporal changes of water conservation function in the Loess Plateau of Northern Shaanxi based on InVEST model[J]. Geographical Research, 2016,35(4):664-676.
25 包玉斌,李婷,柳辉,等.基于InVEST模型的陕北黄土高原水源涵养功能时空变化[J].地理研究,2016,35(4):664-676.
26 Zhang Chuncai, Li Ye, Wang Xiangtao, et al. The method and practice of ecological protection red line delineation based on the county-level scale——Taking Da'an City, Jilin Province as an example[J]. Territory & Natural Resources Study, 2020(1):70-74.
26 张春才,李叶,王祥涛,等.基于县级尺度的生态保护红线划定方法与实践——以吉林省大安市为例[J].国土与自然资源研究,2020(1):70-74.
27 Tan Huaqing, Zhang Jinting. Research on the Red Line Delineation of Ecological Protection in Shenzhen[J]. Territory & Natural Resources Study,2020(3):27-30.
27 谭华清,张金亭.深圳市生态保护红线划定研究[J].国土与自然资源研究,2020(3):27-30.
28 Wu Ke. Discussion on Ecological Protection Red Line Delineation and management and control measures under territorial and spatial planning: Taking Shandong Province as an example[J]. East China Forest Manager,2020,34(1):4-7.
28 吴可.国土空间规划下生态保护红线划定及管控措施探讨——以山东省为例[J].华东森林经理,2020,34(1):4-7.
[1] 马彩虹,关琳琳,陈甫,王大成,刘建波. 基于内容的遥感图像变化信息检索概念模型设计[J]. 遥感技术与应用, 2020, 35(3): 685-693.
[2] 肖林,车涛,戴礼云. 多源雪深数据在中国的空间特征评估[J]. 遥感技术与应用, 2019, 34(6): 1133-1145.
[3] 张锴, 薛亮. 基于多源遥感数据的陕西2000~2015年城市扩展研究[J]. 遥感技术与应用, 2018, 33(6): 1170-1177.
[4] 王卷乐, 程凯, 边玲玲, 韩雪华, 王明明. 面向SDGs和美丽中国评价的地球大数据集成框架与关键技术[J]. 遥感技术与应用, 2018, 33(5): 775-783.
[5] 王一明,蒙继华,程志强. 关键物候期遥感数据缺失条件下的数据同化研究[J]. 遥感技术与应用, 2017, 32(4): 615-623.
[6] 唐超,邵龙义. 高光谱遥感地物目标识别算法及其在岩性特征提取中的应用[J]. 遥感技术与应用, 2017, 32(4): 691-697.
[7] 代晶晶,王瑞江,王登红. 高空间分辨率遥感数据在离子吸附型稀土矿山调查中的应用[J]. 遥感技术与应用, 2014, 29(6): 935-942.
[8] 赵涌泉,单小军,唐娉. 低空间分辨率多源遥感数据的空间一致性分析和相对几何校正[J]. 遥感技术与应用, 2014, 29(1): 155-163.
[9] 赵小星,钱建平,覃顺桥,黄克宸,韩 帅. 云南江城大团包铜矿及外围高植被区遥感找矿预测[J]. 遥感技术与应用, 2013, 28(5): 879-889.
[10] 关磊,李华,苏倩,陈建业. 公路路域生态环境遥感监测数据源选取研究[J]. 遥感技术与应用, 2013, 28(2): 315-321.
[11] 王洁,张增祥,张委伟. 基于生态地理分区的5套土地利用覆盖数据的不确定性研究[J]. 遥感技术与应用, 2012, 27(6): 865-872.
[12] 马明国,宋 怡,王旭峰,韩辉邦,于文凭. AVHRR、VEGETATION和MODIS时间系列遥感数据产品现状与应用研究进展[J]. 遥感技术与应用, 2012, 27(5): 663-670.
[13] 顾玲嘉,赵凯,孙健,郑兴明. 被动微波遥感数据超分辨率增强与混合像元分解研究综述[J]. 遥感技术与应用, 2012, 27(1): 1-6.
[14] 顾玲嘉,赵凯,孙健,郑兴明. 被动微波遥感数据超分辨率增强与混合像元分解研究综述[J]. 遥感技术与应用, 2011, 27(1): 1-7.
[15] 苗立新, 李 霞, 周连芳, 文 强, 纪中奎, 熊志明, 靳光明, 胡 琳. 基于ENVI/IDL的多源遥感数据覆盖范围快速查询技术及实现[J]. 遥感技术与应用, 2010, 25(4): 502-509.