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科学通报  2015 

中国潜在湿地分布的模拟

DOI: 10.1360/N972015-00358, PP. 3251-3262

Keywords: 气候地形指数,洼地识别,潜在湿地分布,中国

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Abstract:

潜在湿地分布的空间信息对于提高湿地制图精度、理解湿地空间分布的变化规律以及制定湿地恢复政策等都具有重要意义.地形特征对湿地的分布具有决定作用,通过采用滤波方法识别真实洼地,并结合气候降水和蒸发资料,提高了地形特征(气候地形指数)的模拟精度;基于气候地形指数的空间分布特征及其与潜在湿地分布的时空关系,采用众数统计方法,模拟中国潜在湿地分布.该方法不仅具有一定的物理基础,而且避免了复杂分布式参数的获取和模型的数值求解,更适用于大尺度湿地分布研究.基于多年的气象数据资料的模拟结果表明中国潜在湿地约为58.18×104km2,其中沼泽湿地面积约为32.50×104km2,水体面积约为25.68×104km2,主要分布在西北部的青藏、新疆地区,东北部内蒙、黑龙江和吉林地区,以及华北平原和长江流域.与已有湿地模拟结果对比表明模拟结果在空间分辨率(90m)和精度方面都有所提高;与全国湿地调查结果在空间分布格局上具有较高的一致性.该结果为进一步提高湿地遥感制图精度、制定湿地恢复策略等提供了重要的支撑.

References

[1]  1 Costanza R, D'Arge R, Farber S, et al. The value of the world's ecosystem services and natural capital. Nature, 1997, 387: 253-260
[2]  2 Zhu P, Gong P. Suitability mapping of global wetland areas and validation with remotely sensed data. Sci China Earth Sci, 2014, 57: 2283-2292 [朱鹏, 宫鹏. 全球陆表湿地潜在分布区制图及遥感验证. 中国科学: 地球科学, 2014, 44: 1610-
[3]  3 Ling C X, Ju H B, Zhang H Q, et al. Study on the forecast of wetland resources changes in Beijing based on CA-MARKOV model (in Chinese). Chin Agr Sci Bull, 2012, 28: 262-269 [凌成星, 鞠洪波, 张怀清, 等. 基于CA-MARKOV模型的北京湿地资源变化预测研究. 中国农学通报, 2012, 28: 262-
[4]  4 Zhou H, Bu R C, Hu Y M, et al. Correlations between potential distribution of wetlands in Great Hing'an Mountains and environment variables (in Chinese). Chin J Ecol, 2007, 26: 1533-1541[周昊, 布仁仓, 胡远满, 等. 大兴安岭湿地潜在分布与环境因子的相关性. 生态学杂志, 2007, 26: 1533-
[5]  5 Zhang Q. Dynamic simulation and prediction of wetland landscape pattern based on CA-Markov model in southern Hangzhou bay area (in Chinese). Master Dissertation. Hangzhou: Zhejiang University, 2013. 1-71 [张茜. 基于CA-Markov模型的杭州湾南岸湿地景观格局动态模拟与预测. 硕士学位论文. 杭州: 浙江大学, 2013. 1-
[6]  6 Beven K J, Kirkby M J. A physically based variable contributing area model of basin hydrology. Hydrol Sci Bull, 1979, 24: 43-69
[7]  7 Barling R D, Moore I D, Grayson R B. A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and soil water content. Water Resour Res, 1994, 30: 1028-1044
[8]  8 Roberta I, Salvatore F, Stefania P, et al. Testing different topographic indexes to predict wetlands distribution. Proc Environ Sci, 2013, 19: 733-746
[9]  9 Rodhe A, Seibert J. Wetland occurrence in relation to topography: A test of topographic indices as moisture indicators. Agr Forest Meteorol, 1999, 98-99: 325-340
[10]  10 Deng H P, Li X B. Relationship of upslope contribution area and soil water content in TOPMEDEL (in Chinese). Prog Geogr, 2002, 21: 103-110 [邓慧平, 李秀彬. 地形指数的物理意义分析. 地理科学进展, 2002, 21: 103-
[11]  11 Zhang C X, Yang Q K, Li R. Advancement in topographic wetness index and its application (in Chinese). Prog Geogr, 2005, 24: 116-123 [张彩霞, 杨勤科, 李锐. 基于DEM的地形湿地指数及其应用研究进展. 地理科学进展, 2005, 24: 116-
[12]  12 Merot P H, Squividant H, Aurousseau P, et al. Testing a climato-topographic index for predicting wetlands distribution along an European climate gradient. Ecol Mod, 2003, 163: 51-71
[13]  13 Fan Y, Miguez-Macho G. A simple hydrologic framework for simulating wetlands in climate and earth system models. Clim Dyn, 2011, 37: 253-278
[14]  14 Fan Y, Li H, Miguez-Macho G. Global patterns of groundwater table depth. Science, 2013, 339: 940-943
[15]  15 Zhu P. Global land surface wetland suitability mapping and spatial-temporal analysis of global wetland dynamic (in Chinese). Master Dissertation. Beijing: University of Chinese Academy of Science, 2014. 1-84 [朱鹏. 全球陆表湿地潜在分布区制图及湿地变化分析. 硕士学位论文. 北京: 中国科学院大学, 2014. 1-
[16]  16 Zhang K, Kimball J S, Nemani R R, et al. A continuous satellite-derived global record of land surface evapotranspiration from 1983-2006. Water Resour Res, 2010, 46: W09522
[17]  17 Zhang, K, Kimball J S, Mu Q, et al. Running. Satellite based analysis of northern ET trends and associated changes in the regional water balance from 1983 to 2005. J Hydrol, 2009, 379: 92-110
[18]  18 Niu Z G, Gong P, Cheng X, et al. Geographical characteristics of China's wetlands derived from remotely sensed data. Sci China Ser D-Earth Sci, 2009, 52: 723-738 [牛振国, 宫鹏, 程晓, 等. 中国湿地初步遥感制图及相关地理特征分析. 中国科学D辑: 地球科学, 2009, 39: 188-
[19]  19 Niu Z G, Zhang H Y, Wang X W, et al. Mapping wetland changes in China between 1978 and 2008. Chin Sci Bull, 2012, 57: 2813-2823 [牛振国, 张海英, 王显威, 等. 1978~2008年中国湿地类型变化. 科学通报, 2012, 57: 1400-
[20]  20 Gong P, Niu Z G, Cheng X, et al. China's wetland change (1990-2000) determined by remote sensing. Sci China Earth Sci, 2010, 53: 1036-1042 [宫鹏, 牛振国, 程晓, 等. 中国1990和2000基准年湿地变化遥感. 中国科学: 地球科学, 2010, 40: 768-
[21]  21 Xiong Y, Zhang J Z, et al. China Hydrological Regionalization (in Chinese). Beijing: Science Press, 1995 [熊怡, 张家桢, 等. 中国水文区划. 北京: 科学出版社,
[22]  22 Lehner B, D?ll P. Development and validation of a global database of lakes, reservoirs and wetlands. J Hydrol, 2004, 296: 1-22
[23]  23 Cress J J, Roger S, Comer P, et al. Terrestrial ecosystems-Topographic moisture potential of the conterminous united states. In: Scientific Investigations Map 3086. Washington DC: US Geological Survey Scientific Investigations. 2009
[24]  24 Liu J Y, Zhang Z X, Xu X L, et al. Spatial patterns and driving forces of land use change in China in the early 21st century (in Chinese). J Geogr Sci, 2009, 64: 1411-1420 [刘纪远, 张增祥, 徐新良, 等. 21世纪处中国土地利用变化的空间格局与驱动力分析. 地理学报, 2009, 64: 1411-
[25]  25 Lian P, Rampi J, Knight F, et al. Comparison of flow direction algorithms in the application of the CTI for mapping wetlands in Minnesota. Wetlands, 2014, 34: 513-525

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