Spatial-temporal dynamics simulation of grassland net primary productivity using a satellite data-driven CASA model in Gannan prefecture

Abstract

Abstract: Net primary productivity (NPP) and its responses to global change are one of the focuses of global change research. Based on GIS technology and remote sensing imagery, the grassland NPP and its spatial-temporal dynamics in Gannan prefecture during 2001 to 2008 were estimated with the Carnegie-Ames-Stanford Approach (CASA) model. Average annual NPP from 2001 to 2008 was 483.41 g C/(m²·a) in the study area. There was obvious seasonal change in the grasslands of Gannan, and the main growth period lasts from 177 to 240 days. There was a rising trend in the grassland NPP of the eight years. Between different grassland types, the trend of rising NPP on lowland meadow was the largest while that on marsh was smallest. Analysis of the temperature and precipitation of the eight years showed that the temporal variation of NPP was mainly influenced by changes of annual precipitation.

CLC Number:

S127
S812

WANG Ying, XIA Wen-tao, LIANG Tian-gang. Spatial-temporal dynamics simulation of grassland net primary productivity using a satellite data-driven CASA model in Gannan prefecture[J]. Acta Prataculturae Sinica, 2011, 20(4): 316-324.

References

[1] Cramer W, Field C B. Comparing global models of terrestrial net primary productivity(NPP): Introduction[J]. Global Change Biology, 1999, 5: 3-4.
[2] Euskirchen E S, Chen J, Li H, et al. Modeling landscape net ecosystem productivity (LandNEP) under alternative management regimes[J]. Ecological Modelling, 2002, 154: 75-91.
[3] Matsushita B, Tamura M. Integrating remotely sensed data with an ecosystem model to estimate net primary productivity in East Asia[J]. Remote Sensing of Environment, 2001, 81: 58-66.
[4] Ruimy A, Saugier B. Methodology for the estimation of terrestrial net primary production from remotely sensed data[J]. Journal of Geophysical Research, 1994, 99: 5263-5283.
[5] Field C B, Behrenfeld M J, Randerson J T, et al. Primary production of the biosphere: integrating terrestrial and oceanic components[J]. Science, 1998, 281: 237-240.
[6] Cramer W, Kicklighter D W, Bondeau A, et al. Comparing global models of terrestrial net primary productivity(NPP): Overview and key results[J]. Global Change Biology, 1999, 5(Suppl.1): 1-15.
[7] Ruimy A, Sougier B. Methodology for the estimation of terrestrial net primary productivity from remotely sensed data[J]. Journal of Geophysical Research, 1994, 99: 5263-5283.
[8] Monteith J L. Solar radiation and productivity in tropical ecosystems[J]. Journal of Applied Ecology, 1972, 9: 747-766.
[9] Potter C S, Randerson J, Field C B, et al. Terrestrial ecosystem production: A process model based on global satellite and surface data[J]. Global Biogeochemical Cycles, 1993, 7: 811-841.
[10] Hick J A, Asner G P, Randerson J T, et al. Satellite-derived increases in net primary productivity across North America 1982-1998[J]. Geophysical Research Letters, 2002, 29: 1427-1431.
[11] Hicke J A, Asner G P, Randerson J T, et al. Trends in North American net primary productivity derived from satellite cbservations, 1982-1998[J]. Global Biogeochemical Cycles, 2002, 16: 1018-1032.
[12] 朴世龙, 方精云, 郭庆华. 利用CASA模型估算我国植被净第一性生产力[J]. 植物生态学报, 2001, 25(5): 603-608.
[13] 高清竹, 万运帆, 李玉娥, 等. 基于CASA模型的藏北地区草地植被净第一性生产力及其时空格局[J]. 应用生态学报, 2007, 18(11): 2526-2532.
[14] 张峰, 周广胜. 中国东北样带植被净初级生产力时空动态遥感模拟[J]. 植物生态学报, 2008, 32(4): 798-809.
[15] 张峰, 周广胜, 王玉辉. 基于CASA模型的内蒙古典型草原植被净初级生产力动态模拟[J]. 植物生态学报, 2008, 32(4): 786-797.
[16] 周才平, 欧阳华, 曹宇, 等. “一江两河”中部流域植被净初级生产力估算[J]. 应用生态学报, 2008, 19(5): 1071-1076.
[17] 张杰, 潘晓玲, 高志强, 等. 干旱生态系统净初级生产力估算及变化探测[J]. 地理学报, 2006, 61(1): 15-25.
[18] 甘肃省草原总站. 甘肃省草地资源[M]. 兰州: 甘肃科学技术出版社, 1999: 386.
[19] 李自珍, 杜国祯, 惠苍, 等. 甘南高寒草地牧场管理的最优控制模型及可持续利用对策研究[J]. 兰州大学学报(自然科学版), 2002, 38(4): 83-85.
[20] 刘兴元, 陈全功, 王永宁. 甘南草地退化对生态安全与经济发展的影响[J]. 草业科学, 2006, 23(12): 39-41.
[21] 张霞. 甘南高寒草地改良试验研究[J]. 农业科技与信息, 2008, 15: 63-64.
[22] 马玉秀. 甘南州高寒放牧草地合理利用与草地生态系统可持续发展对策[J]. 甘肃农业, 2006, 6: 82-84.
[23] 李洪泉, 高兰阳, 刘刚, 等. 草畜优化条件下草地生态载畜量测算方法新探[J]. 草业学报, 2009, 18(5): 262-265.
[24] 仁青吉, 武高林, 任国华. 放牧强度对青藏高原东部高寒草甸植物群落特征的影响[J]. 草业学报, 2009, 18(5): 256-261.
[25] 孙鹏举, 陈英. 甘南草地生态系统生态位适宜度及其空间差异分析[J]. 草业科学, 2009, 26(4): 1-5.
[26] Running S W, Thornton P E, Nemani R, et al. Global terrestrial gross and net primary productivity from the earth observing system[A]. In: Sala O, Jackson R, Mooney H. Methods in Ecosystem Science[M]. New York: Springer Verlag, 2000: 44-57.
[27] 朱文泉, 潘耀忠, 龙中华, 等. 基于GIS和RS的区域陆地植被NPP估算——以中国内蒙古为例[J]. 遥感学报, 2005, 9(3): 300-307.
[28] Xiao X M, Zhang Q Y, Saleska S, et al. Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest[J]. Remote Sensing of Environment, 2005, 94: 105-122.
[29] 朴世龙, 方精云, 贺金生, 等. 中国草地植被生物量及其空间分布格局[J]. 植物生态学报, 2004, 28(4): 491-498.
[30] 方精云, 刘国华, 徐嵩龄. 中国陆地生态系统的碳循环及其全球意义[A]. 见: 王庚辰, 温玉璞. 温室气体浓度和排放监测及相关过程[M]. 北京:中国环境科学出版社, 1996: 129-139.
[31] 朴世龙, 方精云. 1982-1999年青藏高原植被净第一性生产力及其时空变化[J]. 自然资源学报, 2002, 17(3): 373-380.
[32] 梁天刚, 崔霞, 冯琦胜, 等. 2001-2008年甘南牧区草地地上生物量与载畜量遥感动态监测[J]. 草业学报, 2009, 18(6): 12-22.