Estimating and Analyzing the Optimum Temperature for Vegetation Growth in China

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  • 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
    2. Graduate University of Chinese Academy of Sciences, Beijing 100049, China

Received date: 2011-06-16

  Revised date: 2011-09-13

  Online published: 2012-02-20

Abstract

The photosynthetic optimum temperature for vegetation growth means the ambient temperature is most conducive to plant growth. In this study, GIMMS NDVI data set and daily temperature data set measured by 752 meteorological stations in China from 1982 to 2006 were used to contrastively analyze the relationship between the NDVI and temperature change characteristics at both spatial and temporal scale. Based on the analysis, we extracted the corresponding temperatures in the process of vegetation growth phase. And finally the optimum temperature range and reference optimum temperatures of Chinese various terrestrial eco-geographical regions were obtained. The study firstly provides a scientific calculation framework and produces the reference optimum temperature of different regions. The relationship between terrestrial vegetation growth and the ambient temperature are close, and the optimum temperatures are distinct in different eco-geographical regions. Thereinto, the lowest temperatures appear in the Qinghai-Tibet Plateau eco-geographical regions, about 10 ℃. While the highest optimum temperatures appear in the middle and lower reaches of the Yangtze River and South China regions, their values are more than 25 ℃. Moreover, the reference optimum temperature can be availably estimated by two related factors, elevation and latitude. Our results can provide useful references for model parameterization.

Cite this article

CUI Yao-ping, LIU Ji-yuan, HU Yun-feng, BING Long-fei, TAO Fu-lu, WANG Jun-bang . Estimating and Analyzing the Optimum Temperature for Vegetation Growth in China[J]. JOURNAL OF NATURAL RESOURCES, 2012 , 27(2) : 281 -292 . DOI: 10.11849/zrzyxb.2012.02.011

References

[1] 朱文泉.中国陆地生态系统植被净初级生产力遥感估算及其与气候变化关系的研究.北京:北京师范大学,2005. [2] Berry J, Bjorkman O. Photosynthetic response and adaptation to temperature in higher plants [J]. Annual Review of Plant Physiology and Plant Molecular Biology,1980,31(1):491-543. [3] Chapin F S III. Direct and indirect effects of temperature on Arctic plants [J]. Polar Biology,1983,2:47-52. [4] Schwartz M D. Green-wave phenology [J]. Nature,1998,394:839-840. [5] Tucker C J, Slayback D A, Pinzon J E, et al. Higher northern latitude normalized difference vegetation index and growing season trends from 1982 to 1999 [J]. International Journal of Biometeorology,2001,45:184-190. [6] Zhou L, Kaufmann R K, Tian Y, et al. Relation between interannual variations in satellite measures of vegetation greenness and climate between 1982 and 1999 [J]. Journal of Geophysical Research,2003,108(D1):4004. [7] Häninnen H. Effects of climatic change on trees from cool and temperate regions: An eco-physiological approach to modeling of budburst phenology [J]. Canadian Journal of Botany—Revue Canadienne de Botanique,1994,73:183-199. [8] Rea R, Eccel E. Phenological models for blooming of apple in a mountainous region [J]. International Journal of Biometeorology,2006,51:1-16. [9] 刘敏.基于RS和GIS的陆地生态系统生产力估算及不确定性研究——以青藏高原草地样带为例.南京:南京师范大学, 2008. [10] Prince S D, Goward S N. Global primary production: A remote sensing approach [J]. Journal of Biogeography,1995,22:815-835. [11] 陈卓奇.青藏高原草地生态系统承载力与承载力研究.北京:中国科学院研究生院,2009. [12] Scott D. Relative growth rates under controlled temperatures of some New Zealand indigenous and introduced grasses [J]. New Zealand Journal of Botany, 1970,8:76-81. [13] Myneni R B, Keeling C D, Tucker C J, et al. Increased plant growth in the northern high latitudes from 1981 to 1991 [J]. Nature, 1997,386:698-702. [14] Julien Y, Sobrino J A. Global land surface phenology trends form GIMMS database [J]. International Journal of Remote Sensing, 2009,30(13):3495-3513. [15] Schwartz M D, Chen X Q. Examining the onset of spring in China [J]. Climate Research,2002,12:157-164. [16] Chen X Q, Hu B, Yu R. Spatial and temporal variation of phonological growing season and climate change impacts in temperate eastern China [J]. Global Change Biology,2005,11:1118-1130. [17] Piao S L, Fang J Y, Zhou L M, et al. Variations in satellite-derived phenology in China's temperate vegetation [J]. Global Change Biology,2006,12:672-685. [18] 郑度,李炳元.中国生态地理区图[M].北京:商务印书馆,2005. [19] Jönsson P, Eklundh L. Seasonality extraction and noise removal by function fitting to time-series of satellite sensor data [J]. IEEE Transactions on Geoscience and Remote Sensing,2002,40(8):1824-1832. [20] Jönsson P, Eklundh L. Timesat—A program for analyzing time-series of satellite sensor data [J]. Computational Geosciences, 2004,30:833-845. [21] Eklundh L, Jönsson P. Timesat 3.0 Software Manual [M]. Lund University, Sweden,2009. [22] Michael A W, Peter P E, Stevin W R. A continental phenology model for monitoring vegetation responses to interannual climatic variability [J]. Global Biogeochemical Cycles,1997,11(2):217-234. [23] Nagai S, Nasahara K N, Muraoka H, et al. Field experiments to test the use of the normalized-difference vegetation index for phenology detection [J]. Agricultural and Forest Meteorology,2010,150:152-160. [24] 刘纪远,张增祥,庄大方,等.20世纪90年代中国土地利用变化时空特征及其成因分析[J].地理研究,2003,22(1):1-12. [25] 王宏,李晓兵,李霞,等.基于NOAA NDVI和MSAVI研究中国北方植被生长季变化[J].生态学报,2007,27(2):504-515. [26] Fitter A H, Fitter R S R. Rapid changes in flowering time in British plants [J]. Science,2002,296:1689-1691. [27] Liu J, Liu M, Tian H, et al. Spatial and temporal patterns of China's cropland during 1990-2000: An analysis based on Landsat TM data [J]. Remote Sensing of Environment,2005,98:442-456. [28] 孙艳玲,郭鹏,延晓冬,等.内蒙古植被覆盖变化及其与气候、人类活动的关系[J].自然资源学报,2010,25(3):407-414. [29] 李博,杨持,林鹏.生态学[M].北京:高等教育出版社,2000.
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