Analyzing Climate Suitability of Pinus yunnanensis Based on Kira’s Indices

CHEN Fei; WANG Jian-min; CHEN Xiao-ming; SUN Bao-gang; YANG Zi-xiang; DUAN Zhao-yao

Volume 25 Issue 5

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Analyzing Climate Suitability of Pinus yunnanensis Based on Kira’s Indices

1.
Research Institute of Resource Insects, Chinese Academy of Forestry, Key Laboratory of Cultivation and Utilization of Resource Insects of State Forestry Administration, Kunming 650224, Yunnan, China
2.
Yunnan Academy of Forestry, Kunming 650201, Yunnan, China

Received Date: 2012-06-28

Abstract

Based on the meteorological data of Yunnan Province and the space distribution data of Pinus yunnanensis, with Kira's indices, and by using statistical methods and GIS software, the spatiotemporal change characteristics of climate resources and the suitable area's changes of P. yunnanensis were analyzed. The results indicated that the mean value of P. Yunnanensis' warmth index was 122.9 ℃·month, ranging from 32.1-204.3 ℃·month, and it's optimum range was 86.1-160.0 ℃·month. The interannual variation curve of Warmth Index (WI) in Yunnan Province was significantly elevated, from 121.30 ℃·month (1970) to 133.57 ℃·month (2002), and the interannual variation curve of Humidity Index (HI) followed a downward trend, from 10.97 mm·(℃·month)-1 (1970) to 8.92 mm·(℃·month)-1 (2002). The WI fluctuation was more significant than HI fluctuation. The maximum value occurred during 1998 (136.63 ℃·month), and the minimum value for the 1976 (117.13 ℃·month). However, both the maximum and minimum values belong to the optimal range of P. yunnanensis. Under the condition of climate changing in the future, P. yunnanensis will be centralized in areas of middle Yunnan, but the distribution area will change. The north distributing limitation will not move obviously but the south boundary will atrophy obviously, and the suitable area will decrease stage by stage.
- Pinus yunnanensis,
- climate change,
- Kira's indices,
- climate suitability

References

[1]	代姝玮,杨晓光,赵孟,等.气候变化背景下中国农业气候资源变化Ⅱ. 西南地区农业气候资源时空变化特征[J].应用生态学报,2011,22(2):442-452
[2]	程建刚,解明恩.近50年云南区域气候变化特征分析[J].地理科学进展,2008,27(5):19-26
[3]	Parmesan C, Yohe G. A globally coherent fingerprint of climate change impacts across natual systems[J]. Nature, 2003, 421: 37-42
[4]	贺庆棠,袁嘉祖,陈志泊.气候变化对马尾松和云南松分布的可能影响[J].北京林业大学学报,1996,18(1):22-28
[5]	杨正宇.四类气候-植被关系模型比较研究 .北京:中国科学研究院植物研究所,2001
[6]	许娟,张白平,谭靖,等.青藏高原植被垂直带与气候影子的空间关系[J].山地学报,2009,27(6):663-670
[7]	牛建明.内蒙古主要植被类型与气候因子关系的研究[J].应用生态学报,2000,11(1):47-52
[8]	金振洲,彭鉴.云南松[M].昆明:云南科技出版社,2004:5-13
[9]	Barry S, Elith J. Error and uncertainty in habitat models[J]. Journal of Applied Ecology, 2006, 43:413-423
[10]	贺文丽,李星敏,朱琳,等.基于GIS的关中猕猴桃气候生态适宜性区划[J].中国农学通报,2011,27(22):202-207
[11]	陈海生,刘国顺,刘大双,等.GIS支持下的河南省烟草生态适宜性综合评价[J].中国农业科学,2009,42(7):2425-2433
[12]	Seffino L A, Medeiros C B, Rocha J. Woodss-A spatial decision support system based on workflows[J]. The Establishment of Decision Support System, 1999 (27): 105-123
[13]	李峰,周广胜,曹铭昌.兴安落叶松地理分布对气候变化响应的模拟[J].应用生态学报,2006,17(12):2255-2260
[14]	Daly C, Gibson W P, Taylor G H,et al. A knowledge-based approach to the statistical mapping of climate [J]. Climate Research, 2002(22):99-113
[15]	Daly C, Halbleib M, Smith J I, et al. Physiographically-sensitive mapping of temperature and precipitation across the conterminous United States[J]. International Journal of Climatology, 2008(28):2031-2064
[16]	Wang T, Hamann A, Spittlehouse D L, et al. Development of scale-free climate data for western Canada for use in resource management[J]. International Journal of Climatology, 2006(26):383-397
[17]	Kira T. Forest ecosystems of east and southeast Asia in global perspective[J]. Ecological Research, 1991(6):185-200
[18]	Kira T. A climatogical interpretation of Japanese vegetation zones[M]//Miyawaki A, Tuxen R. Vegetation Science and Environmental Protection. Tokyo: Maruzen, 1997:21-30
[19]	徐文铎. 吉良的热量指数及其在中国植被中的应用[J]. 生态学杂志, 1985(3):35-39
[20]	Yim Y J. Distribution of forest vegetation and climate in the Korean peninsula.Ⅲ.Distribution of tree species along the thermal gradient[J]. Journal of ecology, 1977,24:177-189
[21]	洪必恭,李绍珠. 江苏主要常绿阔叶树种的分布与热量关系的初步研究[J]. 生态学报, 1981(1):105-111
[22]	Root T L, Price J T, Hall K R, et al. Fingerprints of global warming on wild animals and plants[J]. Nature, 2003, 421:57-60
[23]	王宇.云南气候变化概论[M].北京:气象出版社,1996:4-133
[24]	Iverson L R, Prasad A M, Matthews S N, et al. Estimating potential habitat for 134 eastern US tree species under six climate scenarios[J]. Forest Ecology and Management, 2008, 254: 390-406
[25]	Pearson R G,Dawson T P. Predicting the impacts of climate change on the distribution of species: Are bioclimate envelope models useful[J]. Global Ecology & Biogeography, 2003,12:361-371

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通讯作者: 陈斌, bchen63@163.com

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沈阳化工大学材料科学与工程学院沈阳 110142

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Analyzing Climate Suitability of Pinus yunnanensis Based on Kira’s Indices

1. Research Institute of Resource Insects, Chinese Academy of Forestry, Key Laboratory of Cultivation and Utilization of Resource Insects of State Forestry Administration, Kunming 650224, Yunnan, China

2. Yunnan Academy of Forestry, Kunming 650201, Yunnan, China

Received Date: 2012-06-28

Available Online: 2012-10-11

Abstract: Based on the meteorological data of Yunnan Province and the space distribution data of Pinus yunnanensis, with Kira's indices, and by using statistical methods and GIS software, the spatiotemporal change characteristics of climate resources and the suitable area's changes of P. yunnanensis were analyzed. The results indicated that the mean value of P. Yunnanensis' warmth index was 122.9 ℃·month, ranging from 32.1-204.3 ℃·month, and it's optimum range was 86.1-160.0 ℃·month. The interannual variation curve of Warmth Index (WI) in Yunnan Province was significantly elevated, from 121.30 ℃·month (1970) to 133.57 ℃·month (2002), and the interannual variation curve of Humidity Index (HI) followed a downward trend, from 10.97 mm·(℃·month)-1 (1970) to 8.92 mm·(℃·month)-1 (2002). The WI fluctuation was more significant than HI fluctuation. The maximum value occurred during 1998 (136.63 ℃·month), and the minimum value for the 1976 (117.13 ℃·month). However, both the maximum and minimum values belong to the optimal range of P. yunnanensis. Under the condition of climate changing in the future, P. yunnanensis will be centralized in areas of middle Yunnan, but the distribution area will change. The north distributing limitation will not move obviously but the south boundary will atrophy obviously, and the suitable area will decrease stage by stage.

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Reference (25)

[1]	代姝玮,杨晓光,赵孟,等.气候变化背景下中国农业气候资源变化Ⅱ. 西南地区农业气候资源时空变化特征[J].应用生态学报,2011,22(2):442-452
[2]	程建刚,解明恩.近50年云南区域气候变化特征分析[J].地理科学进展,2008,27(5):19-26
[3]	Parmesan C, Yohe G. A globally coherent fingerprint of climate change impacts across natual systems[J]. Nature, 2003, 421: 37-42
[4]	贺庆棠,袁嘉祖,陈志泊.气候变化对马尾松和云南松分布的可能影响[J].北京林业大学学报,1996,18(1):22-28
[5]	杨正宇.四类气候-植被关系模型比较研究 .北京:中国科学研究院植物研究所,2001
[6]	许娟,张白平,谭靖,等.青藏高原植被垂直带与气候影子的空间关系[J].山地学报,2009,27(6):663-670
[7]	牛建明.内蒙古主要植被类型与气候因子关系的研究[J].应用生态学报,2000,11(1):47-52
[8]	金振洲,彭鉴.云南松[M].昆明:云南科技出版社,2004:5-13
[9]	Barry S, Elith J. Error and uncertainty in habitat models[J]. Journal of Applied Ecology, 2006, 43:413-423
[10]	贺文丽,李星敏,朱琳,等.基于GIS的关中猕猴桃气候生态适宜性区划[J].中国农学通报,2011,27(22):202-207
[11]	陈海生,刘国顺,刘大双,等.GIS支持下的河南省烟草生态适宜性综合评价[J].中国农业科学,2009,42(7):2425-2433
[12]	Seffino L A, Medeiros C B, Rocha J. Woodss-A spatial decision support system based on workflows[J]. The Establishment of Decision Support System, 1999 (27): 105-123
[13]	李峰,周广胜,曹铭昌.兴安落叶松地理分布对气候变化响应的模拟[J].应用生态学报,2006,17(12):2255-2260
[14]	Daly C, Gibson W P, Taylor G H,et al. A knowledge-based approach to the statistical mapping of climate [J]. Climate Research, 2002(22):99-113
[15]	Daly C, Halbleib M, Smith J I, et al. Physiographically-sensitive mapping of temperature and precipitation across the conterminous United States[J]. International Journal of Climatology, 2008(28):2031-2064
[16]	Wang T, Hamann A, Spittlehouse D L, et al. Development of scale-free climate data for western Canada for use in resource management[J]. International Journal of Climatology, 2006(26):383-397
[17]	Kira T. Forest ecosystems of east and southeast Asia in global perspective[J]. Ecological Research, 1991(6):185-200
[18]	Kira T. A climatogical interpretation of Japanese vegetation zones[M]//Miyawaki A, Tuxen R. Vegetation Science and Environmental Protection. Tokyo: Maruzen, 1997:21-30
[19]	徐文铎. 吉良的热量指数及其在中国植被中的应用[J]. 生态学杂志, 1985(3):35-39
[20]	Yim Y J. Distribution of forest vegetation and climate in the Korean peninsula.Ⅲ.Distribution of tree species along the thermal gradient[J]. Journal of ecology, 1977,24:177-189
[21]	洪必恭,李绍珠. 江苏主要常绿阔叶树种的分布与热量关系的初步研究[J]. 生态学报, 1981(1):105-111
[22]	Root T L, Price J T, Hall K R, et al. Fingerprints of global warming on wild animals and plants[J]. Nature, 2003, 421:57-60
[23]	王宇.云南气候变化概论[M].北京:气象出版社,1996:4-133
[24]	Iverson L R, Prasad A M, Matthews S N, et al. Estimating potential habitat for 134 eastern US tree species under six climate scenarios[J]. Forest Ecology and Management, 2008, 254: 390-406
[25]	Pearson R G,Dawson T P. Predicting the impacts of climate change on the distribution of species: Are bioclimate envelope models useful[J]. Global Ecology & Biogeography, 2003,12:361-371

Analyzing Climate Suitability of Pinus yunnanensis Based on Kira’s Indices

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通讯作者: 陈斌, bchen63@163.com

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