基于多源遥感数据的区域生态系统服务价值年际动态监测——以中原城市群为例
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摘要
通过对多源遥感数据在生态系统服务价值(ESV)遥感模型中的尺度效应分析,选择满足最佳空间分辨率和长时间序列的遥感数据,对中原城市群区域2001～2013年的ESV实现了逐年逐像元水平的动态监测。结果表明:该区应用于遥感模型输入数据的最适空间分辨率为30～1 000 m,相对于30 m尺度,其他尺度估算结果的相对偏差均小于0.4%;结合年际动态监测的需求,选择了MODIS数据产品(空间分辨率500 m,时间尺度1 a)作为遥感模型的最佳数据源;研究区ESV总值在研究期内整体上呈显著增长趋势,增速约为8.6亿元/a,但在持续增长过程中经历了3次波动,且表现得越来越剧烈;在空间上,研究区ESV多年均值呈现出明显的不均衡性,表现为从西南向东部递减的趋势。研究表明此方法简单易行,初步实现了区域ESV年际动态监测遥感模型的准业务化运行。
Ecosystem service value(ESV) is not only one of the important parameters to study regional ecological economic harmony, but also a key indicator to improve the sustainable development. In recent years, based on remote sensing data, the ESV model has been gradually developed and widely used, whereas it is lacking in the application of regional ESV dynamic monitoring year by year. Here, the optimal spatial resolution and long time series of remote sensing data was selected by analyzing the scale effect, and regional ESV dynamic monitoring of year level was carried out on the pixel scale from 2001 to 2013 in Central Plains Urban Agglomeration region. The results showed that: 1) The range of the optimal spatial resolution was 30 m to 1 000 m for multi-source remote sensing data, and the relative deviation of the estimation results of different scales was less than 0.4%. With the demand of dynamic monitoring, the MODIS data products(spatial resolution was 500 m, and time scale was 1 year) were selected as the optimal data source for ESV model. 2) The total value of ESV in the study region showed a significant increasing trend from 2001 to 2013, with an increase of approximately 860 million yuan/a, but experienced three fluctuations in the continuous increasing process, and the performance was more and more intense. The dynamic change of ESV in the study region was uneven in the spatial distribution, and the growth area was slightly larger than the degraded area. Overall, the method of this article was simple and feasible, and the quasi-business operation of ESV remote sensing model was implemented.
Ecosystem service value(ESV) is not only one of the important parameters to study regional ecological economic harmony, but also a key indicator to improve the sustainable development. In recent years, based on remote sensing data, the ESV model has been gradually developed and widely used, whereas it is lacking in the application of regional ESV dynamic monitoring year by year. Here, the optimal spatial resolution and long time series of remote sensing data was selected by analyzing the scale effect, and regional ESV dynamic monitoring of year level was carried out on the pixel scale from 2001 to 2013 in Central Plains Urban Agglomeration region. The results showed that: 1) The range of the optimal spatial resolution was 30 m to 1 000 m for multi-source remote sensing data, and the relative deviation of the estimation results of different scales was less than 0.4%. With the demand of dynamic monitoring, the MODIS data products(spatial resolution was 500 m, and time scale was 1 year) were selected as the optimal data source for ESV model. 2) The total value of ESV in the study region showed a significant increasing trend from 2001 to 2013, with an increase of approximately 860 million yuan/a, but experienced three fluctuations in the continuous increasing process, and the performance was more and more intense. The dynamic change of ESV in the study region was uneven in the spatial distribution, and the growth area was slightly larger than the degraded area. Overall, the method of this article was simple and feasible, and the quasi-business operation of ESV remote sensing model was implemented.
引文
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[18]刘良云.叶面积指数遥感尺度效应与尺度纠正[J].遥感学报,2014,18(6):1158-1168.[Liu Liangyun. Simulation and correction of spatial scaling effects for leaf area index. Journal of Remote Sensing,2014,18(6):1158-1168.]
[19]张亚丽,王万同.遥感估算伊洛河流域地表蒸散空间尺度转换[J].测绘学报,2013,42(6):906-912.[Zhang Yali, Wang Wantong.Spatial scaling transformation of evapotranspiration based on remote sensing in Yiluo River basin. Acta Geodaetica et Cartographica Sinica, 2013, 42(6):906-912.]
[20]王培娟,谢东辉,张佳华.基于过程模型的长白山自然保护区森林植被净第一性生产力空间尺度转换方法[J].生态学报,2007,27(8):3215-3223.[Wang Peijuan, Xie Donghui, Zhang Jiahua.Spatial scaling of net primary productivity based on process model in changbai mountain natural reserve. Acta Ecologica Sinica, 2007, 27(8):3215-3223.]
[21]马红梅,王苗苗,刘勇.多源遥感数据土地覆被空间尺度效应探讨[J].遥感信息,2017,32(2):149-155.[Ma Hongmei, Wang Miaomiao, Liu Yong. Spatial scale effect of land cover based on multisource remote sensing data. Remote Sensing Information, 2017,32(2):149-155.]
[22]王发曾,刘静玉,徐晓霞,等.中原城市群整合研究[M].北京:科学出版社,2007.[Wang Fazeng,Liu Jingyu, Xu Xiaoxia et al. Integration research of Central Plains Urban Agglomeration. Beijing:Science Press, 2007.]
[23]张改素,丁志伟,赵威.中原城市群生态环境保护的技术整合研究[J].生态经济,2014,30(10):170-174.[Zhang Gaisu, Ding Zhiwei, Zhan Wei. A study on technology integration of ecological environment protection among Central Plains Urban Agglomeration. Ecological Economy, 2014, 30(10):170-174.]
[24]谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报,2008,23(5):911-919.[Xie Gaodi,Zhen Lin, Lu Chunxia et al. Expert knowledge based valuation method of ecosystem services in China. Journal of Natural Resource, 2008, 23(5):911-919.]
[25]曾杰,李江风,姚小薇.武汉城市圈生态系统服务价值时空变化特征[J].应用生态学报,2014,25(3):883-891.[Zeng Jie, Li Jiangfeng, Yao Xiaowei. Spatio-temporal dynamics of ecosystem service value in Wuhan Urban Agglomeration. Chinese Journal of Applied Ecology, 2014, 25(3):883-891.]
[26]王士君,王雪微,范大龙,等.吉林中部城市群域城镇化的生态效应评估[J].人文地理,2017,32(1):90-98.[Wang Shijun, Wang Xuewei, Fan Dalong et al. Ecological effects assessment of urbanization in Jinlin central urban agglomeration area. Human Geography, 2017, 32(1):90-98.]
[2]Constanza R,D'Arge R,De Groot R et al. The value of the world's ecosystem services and natural capital[J]. Nature, 1997, 387(6630):253-260.
[3]Daily G. Nature's Services:Societal dependence on Natural Ecosystems[M]. Washington D C:Island Press,1997.
[4]Song P F,Hao Z Q,Zhang J. Valuing eco-assets:a note on valuation methods[J]. International Journal of Sustainable Development and World Ecology,2008,15(6):512-517.
[5]Norgaar R B. Ecosystem services:From eye-opening metaphor to complexity blinder[J]. Ecological Economics,2010, 69(6):1219-1227.
[6]史培军,潘耀忠,陈云浩,等.多尺度生态资产遥感综合测量的技术体系[J].地球科学进展,2002,17(2):169-173.[Shi Peijun,Pan Yaozhong,Chen Yunhao et al. Technical system of ecological capital integrated measurement using multi-scale remotely sensed data. Advance in Earth Science,2002,17(2):169-173.]
[7]潘耀忠,史培军,朱文泉,等.中国陆地生态系统生态资产遥感定量测量[J].中国科学(D辑),2004,34(4):375-384.[Pan Yaozhong,Shi Peijun,Zhu Wenquan et al. Quantitative remote sensing on ecological assessment of Chinese terrestrial ecosystem. Science in China(Series D), 2004,34(4):375-384.]
[8]谢高地.甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报,2008,23(5):911-919.[Xie Gaodi,Zhen Lin, Lu Chunxia et al. Expert knowledge based valuation method of ecosystem services in China. Journal of Natural Resources,2008, 23(5):911-919.]
[9]史培军,张淑英,潘耀忠,等.生态资产与区域可持续发展[J].北京师范大学学报(社会科学版), 2005(2):131-137.[Shi Peijun,Zhang Shuying, Pan Yaozhong et al. Ecosystem capital and regional sustainable development. Journal of Beijing Normal University:Social Science Edition,2005(2):131-137.]
[10]Bolund P, Hunhammar S. Ecosystem services in urban areas[J]. Ecological Economics,1999,29:293-301.
[11]彭保发,陈端吕.常德市土地覆被的生态服务价值空间变异分析[J].经济地理,2012,32(1):141-145.[Peng Baofa, Chen Duanlv.Spatial differences on ecosystem value of land cover types in Changde City. Economic Geography,2012, 32(1):141-145.]
[12]李毅,杨仁斌,毕军平,等.长株潭地区生态资产变化格局分析[J].经济地理,2015,35(2):184-188.[Li Yi, Yang Renbin, Bi Junping et al. Analysis on the pattern of ecological capital in CZT region.Economic Geography, 2015, 35(2):184-188.]
[13]刘家福,孙洪泉,占文凤.长江三角洲地区生态资产变化驱动力分析[J].水土保持研究,2013,20(1):182-192.[Liu Jiafu, Sun Hongquan, Zhan Wenfeng. Analysis on driving forces of ecological capital in the Yangtze River Delta region. Research of Soil and Water Conservation, 2015, 20(1):182-192.]
[14]李真,潘竞虎,胡艳兴.甘肃省生态资产价值和生态-经济协调度时空变化格局[J].自然资源学报,2017,32(1):64-75.[Li Zhen,Pan Jinghu, Hu Yanxing. The spatio-temporal variation of ecological property value and eco-economic harmony in Gansu Province. Journal of Natural Resource, 2017, 32(1):64-75.]
[15]布和敖斯尔,马建文,王勤学.多传感器不同分辨率遥感数字图像的尺度转换[J].地理学报,2004,59(1):101-110.[Buhe Aosier,Ma Jianwen, Wang Qinxue. Scaling transformation of remote sensing digital image with multiple resolution from different sensors. Acta Geographica Sinica, 2004,59(1):101-110.]
[16]Tran T D B, Puissant A, Badariotti D et al. Optimizing spatial resolution of imagery for urban form detection—The cases of France and Vietnam[J]. Remote Sensing Article,2011,3(10):2128-2147.
[17]冯桂香,明冬萍.分形定量选择遥感影像最佳空间分辨率的方法与实验[J].地球信息科学学报,2015,17(4):478-485.[Feng Guixiang, Ming Dongping. Fractal based method on selecting the optimal spatial resolution for remote sensing image. Journal of Geo-information Science, 2015, 17(4):478-485.]
[18]刘良云.叶面积指数遥感尺度效应与尺度纠正[J].遥感学报,2014,18(6):1158-1168.[Liu Liangyun. Simulation and correction of spatial scaling effects for leaf area index. Journal of Remote Sensing,2014,18(6):1158-1168.]
[19]张亚丽,王万同.遥感估算伊洛河流域地表蒸散空间尺度转换[J].测绘学报,2013,42(6):906-912.[Zhang Yali, Wang Wantong.Spatial scaling transformation of evapotranspiration based on remote sensing in Yiluo River basin. Acta Geodaetica et Cartographica Sinica, 2013, 42(6):906-912.]
[20]王培娟,谢东辉,张佳华.基于过程模型的长白山自然保护区森林植被净第一性生产力空间尺度转换方法[J].生态学报,2007,27(8):3215-3223.[Wang Peijuan, Xie Donghui, Zhang Jiahua.Spatial scaling of net primary productivity based on process model in changbai mountain natural reserve. Acta Ecologica Sinica, 2007, 27(8):3215-3223.]
[21]马红梅,王苗苗,刘勇.多源遥感数据土地覆被空间尺度效应探讨[J].遥感信息,2017,32(2):149-155.[Ma Hongmei, Wang Miaomiao, Liu Yong. Spatial scale effect of land cover based on multisource remote sensing data. Remote Sensing Information, 2017,32(2):149-155.]
[22]王发曾,刘静玉,徐晓霞,等.中原城市群整合研究[M].北京:科学出版社,2007.[Wang Fazeng,Liu Jingyu, Xu Xiaoxia et al. Integration research of Central Plains Urban Agglomeration. Beijing:Science Press, 2007.]
[23]张改素,丁志伟,赵威.中原城市群生态环境保护的技术整合研究[J].生态经济,2014,30(10):170-174.[Zhang Gaisu, Ding Zhiwei, Zhan Wei. A study on technology integration of ecological environment protection among Central Plains Urban Agglomeration. Ecological Economy, 2014, 30(10):170-174.]
[24]谢高地,甄霖,鲁春霞,等.一个基于专家知识的生态系统服务价值化方法[J].自然资源学报,2008,23(5):911-919.[Xie Gaodi,Zhen Lin, Lu Chunxia et al. Expert knowledge based valuation method of ecosystem services in China. Journal of Natural Resource, 2008, 23(5):911-919.]
[25]曾杰,李江风,姚小薇.武汉城市圈生态系统服务价值时空变化特征[J].应用生态学报,2014,25(3):883-891.[Zeng Jie, Li Jiangfeng, Yao Xiaowei. Spatio-temporal dynamics of ecosystem service value in Wuhan Urban Agglomeration. Chinese Journal of Applied Ecology, 2014, 25(3):883-891.]
[26]王士君,王雪微,范大龙,等.吉林中部城市群域城镇化的生态效应评估[J].人文地理,2017,32(1):90-98.[Wang Shijun, Wang Xuewei, Fan Dalong et al. Ecological effects assessment of urbanization in Jinlin central urban agglomeration area. Human Geography, 2017, 32(1):90-98.]
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