土地覆被及生态服务价值变化的多时间尺度模拟——以四川省渔子溪流域为例
收稿日期: 2006-04-30
修回日期: 2006-08-24
网络出版日期: 2006-10-25
基金资助
国家自然科学基金项目 (40301052); 中国科学院地理科学与资源研究所知识创新工程领域前沿项目 (CXIOG-A05-04)
Multi-scale Modeling of Land-cover Change and Ecosystem Service Values:A Case of the Yuzixi Catchment in Sichuan
Received date: 2006-04-30
Revised date: 2006-08-24
Online published: 2006-10-25
Supported by
National Natural Science Foundation of China, No.40301052; Knowledge Innovation Project of IGSNRR, CAS, No.CXIOG-A05-04
根据渔子溪流域1986年和1994年的遥感影像土地覆被解译资料为基础,建立了模拟渔子溪流域生态环境变化的Markov Chain模型和Patch-dynamics模型,并以2002年遥感影像资料作为验证数据对模型进行了误差分析。以此为基础,分别以1年和8年的时间尺度对渔子溪流域土地覆被及其生态服务价值的变化进行了模拟,结果表明,时间尺度对模拟结果具有显著影响：在1年和8年的模拟尺度下,以Markov Chain模型得到的流域生态服务价值在1986~2018年间变化的相对误差为20%;不同土地覆被类型在不同步长下模拟结果的相对误差不一样,表明不同土地覆被类型变化的特征时间尺度不一样,以Patch-dynamics模型的模拟结果为例,步长为1年比步长为8年的相对误差大的土地覆被类型为耕地 (-8.2%/-5.6%)、有林地 (-0.5%/-0.4%)、草地 (0.7%/0.4%) 和居民建设用地 (-29.9%/-16.4%),它们的年际变化较大,其变化趋势不稳定,受到人为偶然因素的影响明显;而相对误差较小的土地覆被类型为灌木林 (-1.5%/-1.7%) 和永久冰雪覆盖 (27.3%/41.9%),它们的变化趋势较为稳定,主要受比较稳定的自然因素的影响。研究还表明,采用Markov Chain模型的模拟结果与采用Patch-dynamics模型的模拟结果总体上是一致的,但后者的模拟结果更稳定、更可靠。
关键词： 四川渔子溪流域; Markov Chain模型; Patch-dynamics模型; 多尺度模拟
冉圣宏,李秀彬,吕昌河 . 土地覆被及生态服务价值变化的多时间尺度模拟——以四川省渔子溪流域为例[J]. 地理学报, 2006 , 61(10) : 1113 -1120 . DOI: 10.11821/xb200610011
The Yuzixi Catchment is located in the core of the Panda Natural Reserves in western Sichuan Province, with an area of 1742 km2. Due to influences of climate change and human activities, the land cover shows marked changes in the last decade. Using the land-cover data obtained from the remote sensing images of two years of 1986 and 1994, this paper developed two models based on the Markov Chain and Patch-dynamics approach, to simulate land-cover changes in the Yuzixi Catchment. Both models were verified using the land-cover data in 2002. Starting from the year 1994, the land-cover of the year 2002 was simulated in a time-step of 1 year and 8 years with these two models, respectively. Compared with the real land-cover data in 2002, it was found that the time scale had a marked effect on the simulation results, and the simulation error varied among different land use types. The simulation error of Patch-dynamics model of cultivated land (-8.2%/-5.6%), forest land (-0.5%/-0.4%), grassland (0.7%/0.4%) and residential area (-29.9%/-16.4%) is bigger based on one-year scale than eight-year scale, and their changing trends are unstable due to the significant effect of anthropogenic factors. By contrast, the simulation error of bush land (-1.5%/-1.7%) and ice land (27.3%/41.9%) is smaller based on one-year scale than eight-year scale, and the changing trends are stable because they are mostly affected by natural factors. The research results also show that the simulation results of Markov Chain model are similar to that of Patch-dynamics model. However, the simulation results of Patch-dynamics model are more stable and reliable.
[1] Katherine J Willis, Robert J Whittaker. Species diversity-scale matters. Science, 2002, 295: 1245-1248.
[2] Lu Yihe, Fu Bojie. Ecological scale and scaling. Acta Ecologica Sinica, 2001, 21(2): 2096-2105.
[吕一河, 傅伯杰. 生态学中的尺度及尺度转换方法. 生态学报, 2001, 21(2): 2096-2105.]
[3] G?ran Englund, Scott D. Cooper. Scale effects and extrapolation in ecological experiments. Advances in Ecological Research, 2003, 33: 161-213.
[4] Li Shuangcheng, Cai Yunlong. Some scaling issues of geography. Geographical Research, 2005, 24(1): 11-18.
[李双成, 蔡运龙. 地理尺度转换若干问题的初步探讨. 地理研究, 2005, 24(1): 11-18.]
[5] Zhao Wenwu, Fu Bojie, Chen Liding. Some fundamental issues in scaling. Advance in Earth Sciences, 2002, 17(6): 905-911.
[赵文武, 傅伯杰, 陈利顶. 尺度推绎研究中的几点基本问题. 地球科学进展, 2002, 17(6): 905-911.]
[6] Chen Youqi, Peter H Verburg. Multi-scale spatial characterization of land use/land cover in China. Scientia Geographica Sinica, 2000, 20(3): 197-202.
[陈佑启, Peter H Verburg. 中国土地利用/土地覆被的多尺度空间分布特征分析. 地理科学, 2000, 20(3): 197-202.]
[7] Jonathan M Chase, Mathew A. Leibold. Spatial scale dictates the productivity-biodiversity relationship. Nature, 2002, 416: 427-430.
[8] Jens Keuchel, Simone Naumann, Matthias Heiler et al. Automatic land cover analysis for Tenerife by supervised classification using remotely sensed data. Remote Sensing of Environment, 2003, 86(4): 530-541.
[9] Luijten J C. A systematic method for generating land use patterns using stochastic rules and basic landscape characteristics: results for a Colombian hillside watershed. Agriculture, Ecosystems and Environment 2003, 95(2-3): 427-441.
[10] Bestelmeyer B T, Trujillo D A, Tugel A J et al. A multi-scale classification of vegetation dynamics in arid lands: what is the right scale for models, monitoring, and restoration? Journal of Arid Environments, 2006, 65(2): 296-318.
[11] Burnett C, Thomas Blaschke. A multi-scale segmentation/object relationship modeling methodology for landscape analysis. Ecological Modelling, 2003, 168(3): 233-249.
[12] Wu Jianguo, John L David. A spatially explicit hierarchical approach to modeling complex ecological systems: theory and applications. Ecological Modelling, 2002, 153(1-2): 7-26.
[13] Chen Liding, Lu Yihe, Fu Bojie et al. A framework on landscape pattern analysis and scale change by using pattern recognition approach. Acta Ecologica Sinica, 2006, 26(3): 663-670.
[陈利顶, 吕一河, 傅伯杰 等. 基于模式识别的景观格局分析与尺度转换研究框架. 生态学报, 2006, 26(3): 663-670.]
[14] Liu Xiaohang, Andersson Claes. Assessing the impact of temporal dynamics on land-use change modeling. Computers, Environment and Urban Systems, 2004, 28(1-2): 107-124.
[15] Costanza R et al. The value of the world's ecosystem services and natural capital. Nature, 1997, 387: 253-260.
[16] Chen Zhongxin, Zhang Xinshi. The value of ecosystem in China. Chinese Science Bulletin, 2000, 45(1): 17-19.
[陈仲新, 张新时. 中国生态系统效益的价值. 科学通报, 2000, 45(1): 17-19.]
[17] Xie Gaodi, Zhang Yili, Lu Chunxia et al. Study on valuation of rangeland ecosystem services of China. Journal of Natural Resources, 2001, 16(1): 47-53.
[谢高地, 张镱锂, 鲁春霞 等. 中国自然草地生态系统服务价值. 自然资源学报. 2001. 16(1): 47-53.]
[18] Teerasit Kasetkasem, Manoj K Arora, Pramod K. Varshney. Super-resolution land cover mapping using a Markov random field based approach. Remote Sensing of Environment, 2005, 96(3-4): 302-314.
[19] Kiira Aaviksoo. Simulating vegetation dynamics and land use in a mire landscape using a Markov model. Landscape and Urban Planning, 1995, 31(1-3): 129-142.
[20] Justin P Wright, William S C Gurney, Clive G Jones. Patch dynamics in a landscape modified by ecosystem engineers. OIKOS, 2004, 105: 336-348.
[21] Thornton P K, Jonesb P G. A conceptual approach to dynamic agricultural land-use modelling. Agricultural Systems, 1998, 57(4): 505-521.
[22] Jane Southworth, Darla Munroe, Harini Nagendra. Land cover change and landscape fragmentation-comparing the utility of continuous and discrete analyses for a western Honduras region. Agriculture, Ecosystems and Environment, 2004, 101(2-3): 185-205.
[23] Britaldo Silveira Soares-Filho, Gustavo Coutinho Cerqueira, Ca'ssio Lopes Pennachin. DINAMICA: a stochastic cellular automata model designed to simulate the landscape dynamics in an Amazonian colonization frontier. Ecological Modelling, 2002, 154(3): 217-235.
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