20世纪80年代以来西南喀斯特地区植被变化对气候变化的响应

doi:10.11821/yj2007050001

地理研究 ›› 2007, Vol. 26 ›› Issue (5): 857-866.doi: 10.11821/yj2007050001

• 气候与全球变化 • 下一篇

20世纪80年代以来西南喀斯特地区植被变化对气候变化的响应

蒙吉军, 王钧

北京大学城市与环境学院,地表过程分析与模拟教育部重点实验室,北京 100871

收稿日期:2007-01-24 修回日期:2007-05-15 出版日期:2007-09-25 发布日期:2007-09-25
作者简介:蒙吉军(1971-),男,甘肃张掖人,博士,副教授。主要研究方向为综合自然地理学和土地变化科学。 E-mail :jijunm@pku.edu.cn
基金资助:
国家自然科学基金重点项目资助(40335046);国家科技支撑计划课题(2006BAD20B07)

The response of vegetation dynamics to climate change in the southwestern karst region of China since the early 1980s

MENG Ji-jun, WANG Jun

College of Urban and Environmental Sciences, Department of Geography, Peking University|Key Laboratory of Analysis and Simulation of Earth Surface Processes, Ministry of Education, Beijing 100871, China

Received:2007-01-24 Revised:2007-05-15 Online:2007-09-25 Published:2007-09-25
Supported by:
国家自然科学基金重点项目资助(40335046);国家科技支撑计划课题(2006BAD20B07)

摘要/Abstract

摘要： 气候变化与植被变化的关系已经在全球和区域尺度上得到了研究证明。在前人研究的基础上,基于AVHRR GIMMS NDVI和AVHRR GloPEM NPP数据集,通过对逐个像元信息的提取和分析,研究了20世纪80年代以来,我国西南喀斯特地区植被变化对气候变化的响应。研究结果显示:(1)20世纪80年代以来,西南喀斯特地区植被覆盖度和净初级生产量总体均呈增加的趋势,但不显著。植被指数的年际变化存在着明显的区域差异;(2)植被指数年际变化与气候因子年际变化的相关系数区域分异比较明显;(3)不同的植被类型对气候变化有着不同的响应特征;在该研究区气温变化对植被变化的影响要高于降水量变化对其影响;(4)植被指数年际变化与气候因子年际变化的相关系数在不同气候条件下分布的规律性比较明显。本研究将会增进对影响喀斯特生态系统稳定性的自然过程的认识,同时也会为喀斯特生态系统的管理提供科学依据。

关键词: 气候变化, 植被变化, NDVI, NPP, 西南喀斯特地区

Abstract: The relationship between climate change and vegetation dynamics has been identified by recent studies in global and regional scales. Based on previous researches and AVHRR GIMMS NDVI and AVHRR GloPEM NPP data sets, this paper analyzes the response of vegetation dynamics to climate change in the southwestern karst region of China since the early 1980s by extracting each pixel's information. The results show that: (1) since the early 1980s, both vegetation cover density and net primary production have the ascending tendencies. However, interannual variation rates of vegetation indexes have apparent spatial differentiations; (2) correlation coefficients between the interannual variations of vegetation indexes and the interannual variations of climate factors also have apparent spatial differentiations; (3) various vegetation types have different responses to climate change, and the annual mean temperature variations have more significant impact on vegetation dynamics than the annual precipitation variations;and (4) the distribution laws of correlation coefficients between the interannual variations of vegetation indexes and the interannual variations of climate factors under different climate conditions are apparent. The study of the response of vegetation dynamics to climate change in the southwestern karst region of China will enrich our knowledge of the natural courses which impact the stability of karst ecosystems and provide scientific basis for the management of karst ecosystems.

Key words: climate change, vegetation dynamics, NDVI, NPP, southwestern karst region of China

蒙吉军, 王钧. 20世纪80年代以来西南喀斯特地区植被变化对气候变化的响应[J]. 地理研究, 2007, 26(5): 857-866.

MENG Ji-jun, WANG Jun. The response of vegetation dynamics to climate change in the southwestern karst region of China since the early 1980s[J]. GEOGRAPHICAL RESEARCH, 2007, 26(5): 857-866.

参考文献

[1] Melillo J M, McGuire A D, Kicklighter D W. Global climate change and terrestrial net primary production. Nature, 1993, 363: 234~240.

[2] Keeling C D, Chin J F S, Whorf T P. Increased activity of northern vegetation inferred from atmospheric CO₂ measurements. Nature, 1996, 382:146~149.

[3] 周广胜,张新时.全球气候变化的中国自然植被的净第一性生产力研究.植物生态学报, 1996, 20(1): 11~19.

[4] Field R R, Behrenfeld M J, Randerson J T. Primary production of the biosphere:Integrating terrestrial and oceanic components. Science, 1998, 281:237~240.

[5] Knapp A K, Smith M D. Variation among biomes in temporal dynamics of aboveground primary production. Science, 2001, 291:481~484.

[6] Nemani R R, Keeling C D, Hashimoto H. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science, 2003, 300:1560~1563.

[7] Weltzin J F, Loik M E, Schwinning S. Assessing the response of terrestrial ecosystems to potential changes in precipitation. Bioscience, 2003, 53:941~952.

[8] Schultz P A, Halpert M S. Global analysis of the relationship among a vegetation index, precipitation and land-surface temperature. International Journal of Remote Sensing, 1995, 16:2755~2777.

[9] Myneni R B, Keeling C D, Tucker C J. Increased plant growth in the north high latitudes from 1981 to 1991. Nature, 1997, 386:698~702.

[10] Li Z, Kafatos M. Inter-annual variability of vegetation in the United States and its relation to El-Nino/Southern Oscillation. Remote Sensing of Environment, 2000, 71:239~247.

[11] Fang J Y, Piao S L, Tang Z Y.Inter-annual variability in net primary production and precipitation. Science, 2001, 293:1723.

[12] 朴世龙,方精云.最近18年来中国植被覆盖的动态变化.第四纪研究, 2001, 21(4):294~302.

[13] Tucker C J, Slayback D A, Pinzon J E. Higher northern latitude NDVI and growing season tendencies from 1982 to 1999. International Journal of Biometeorology, 2001, 45:184~190.

[14] 李本纲,陶澍. AVHRR NDVI 与气候因子的相关分析.生态学报,2000,20(5):898~902.

[15] 李晓兵,史培军.中国典型植被类型NDVI动态变化与气温、降水变化的敏感性分析.植物生态学报, 2000, 24(3):379~382.

[16] 李春晖,杨志峰.黄河流域NDVI时空变化及其与降水/径流关系.地理研究,2004,23(6):753~759.

[17] 付新峰,杨胜天,刘昌明.雅鲁藏布江流域NDVI变化与主要气候因子的关系.地理研究,2007,26 (1):60~66.

[18] Piao S L, Fang J Y, Ji W. Variation in a satellite-based vegetation index in relation to climate in China. Journal of Vegetation Science, 2004, 15: 219~226.

[19] Prince S D, Goward S N. Global primary production: A remote sensing approach. Journal of Biogeography,1995,22:815~835.

[20] Goetz S J, Prince S D, Goward S N. Satellite remote sensing of primary production: An improved production efficiency modeling approach. Ecological Modeling,1999,122:239~255.

[21] Cao M K, Prince S D, Small J. Remotely sensed inter-annual variations and tendencies in terrestrial net primary productivity 1981-2000.Ecosystems,2004,7:233~242.

[22] Lieth H, Box E. Evapotranspiration and primary productivity. In: Thornthwaite W. (ed).Memorial Model, Publications in Climatology.C.W.Thorthwaite Associates, New Jersey, 1972,37~46.

[23] Uchijima Z, Nunez M. Agroclimatic evaluation of net primary productivity of nature vegetation (1) Chikugo model for evaluating primary productivity. Journal of Agricultural Meteorology, 1985, 40:342~352.

[24] Ruimy A, Saugier B. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research,1994,99:5263~5283.

[25] 周广胜,张新时.自然植被净第一性生产力模型初探.植物生态学报,1995,19(3):193~200.

[26] 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.植物生态学报,2001,25(5):603~608.

[27] 孙红雨,王长耀,牛铮,等.中国地表植被覆盖变化及其与气候因子关系.遥感学报,1998,2(3):204~210.

[28] Jiang H, Apps M J, Zhang Y L. Modeling the spatial pattern of net primary productivity in Chinese forests. Ecological Modeling,1999,122:275~278.

[29] 王钧,蒙吉军.西南喀斯特地区近45年来气候变化特征及趋势.北京大学学报(自然科学版),2007,43(2):223~229.

[30] 蔡运龙,蒙吉军.退化土地的生态重建:社会工程途径.地理科学,1999,19(3):198~203.

[31] 袁道先.全球岩溶生态对比:科学目标和执行计划.地球科学进展,2001,16(4):461~466.

[32] Huang Q H, Cai Y L. Spatial pattern of karst rock desertification in the middle of Guizhou province, southwestern China. Environmental Geology, 2006, DOI 10.1007/s00254-006-0572-y (in press)

[33] Tucker C J, Pinzon J E, Brown M E.Global Inventory Modeling and Mapping Studies (GIMMS) Satellite Drift and NOAA-16 incorporated Normalized Difference Vegetation Index (NDVI), Monthly 1981~2003.College Park, Maryland. The Global Land Cover Facility, 2004.

[34] Prince S D,Small J.AVHRR Global Production Efficiency Model, 1981~2000.College Park, Maryland.The Global Land Cover Facility, 2003.

[35] Holben B N.Characteristics of maximum value composite images from temporal AVHRR dada. International Journal of Remote Sensing,1986,7:1417~1434.

20世纪80年代以来西南喀斯特地区植被变化对气候变化的响应

The response of vegetation dynamics to climate change in the southwestern karst region of China since the early 1980s

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