Analysis of Suitable Bioclimatic Characteristics of Leymus chinensis Using MaxEnt Model

doi:10.11733/j.issn.1007-0435.2019.01.006

Acta Agrestia Sinica ›› 2019, Vol. 27 ›› Issue (1): 35-42.DOI: 10.11733/j.issn.1007-0435.2019.01.006

Previous Articles Next Articles

Analysis of Suitable Bioclimatic Characteristics of Leymus chinensis Using MaxEnt Model

CHEN Ji-shan¹, LIU Jie-lin¹, ZHU Rui-fen¹, LI Ji-kai¹, DI Gui-li¹, ZHANG Qiang¹, MAO Dong-jie², KONG Xiao-lei¹

1. Institute of Pratacultural Science, Heilongjiang Academy of Agricultural Science, Harbin, Heilongjiang Province 150086, China;
2. Harbin Animal Health and Epidemic Prevention Station, Harbin, Heilongjiang Province 150000, China

Received:2018-05-30 Revised:2018-11-29 Online:2019-02-15 Published:2019-04-13

基于MaxEnt分析我国羊草分布区的生物气候特征

陈积山¹, 刘杰淋¹, 朱瑞芬¹, 李佶恺¹, 邸桂俐¹, 张强¹, 毛东杰², 孔晓蕾¹

1. 黑龙江省农业科学院草业研究所, 黑龙江哈尔滨 150086;
2. 哈尔滨室动物卫生防疫站, 黑龙江哈尔滨 150000

作者简介:陈积山(1979-),男,副研究员,主要从事牧草栽培及草地管理研究,E-mail:cyszps@163.com
基金资助:
国家重点研发计划（2016YFC0500607-2）资助

Abstract

Abstract: Leymus chinensis is one of the most important species in the meadow grassland and the steppe Grassland in the eastern part of Eurasian grassland. The climatic characteristics of Leymus chinensis region in China were analyzed by bioclimatic data,which objectively reflected the geographical distribution of Leymus chinensis and the main bioclimatic factors leading to its distribution,and provided scientific basis for the distribution potential of Leymus chinensis in China. This study obtained 204 specimens of Leymus chinensis record data from China's digital herbarium Herbarium and bioclimatic data from WorldClim (1950-2000 years),and the maximum entropy model (MaxEnt) was used to simulate the geographical distribution of Leymus chinensis and investigate its biological climate factor and appropriate value. The results showed that the cold season precipitation (bio19) had the maximum gain for the distribution of Leymus chinensis,dry season rainfall(bio17) followed and then dry precipitation (bio14). At the same time,the probability distribution of Leymus chinensis was the single peak response relationship with rainfall in cold season (bio19),dry season,(bio17) and the driest season (bio14). As for latitude and altitude,longitude was the main factor affecting the distribution pattern of Leymus chinensis. At the same time,the reliability of MaxEnt simulation was high,and the geographical distribution of Leymus chinensis could be accurately reflected. 3 bioclimatic quantitative conditions leading to the geographical distribution of Leymus chinensis were preliminarily revealed.

Key words: Leymus chinensis, Maximum entropy modeling(MaxEnt), Bioclimate

摘要： 羊草（Leymus chinensis）是欧亚大陆草原区东部草甸草原及干旱草原上的重要建群种之一。利用生物气候数据分析我国羊草的适生气候特征，客观反映我国羊草的地理分布范围及主导其分布的生物气候因子，能为我国羊草的分布潜力提供科学依据。本研究从我国数字植物标本馆获取204个羊草标本记录数据，并从WorldClim获取生物气候数据（1950-2000年），用最大熵模型（MaxEnt）模拟羊草的地理分布，检测其生物气候主导因子及其适宜值。结果表明，冷季降雨量（bio19）对羊草分布的增益最大，干季降雨量（bio17）和最干月降水量（bio14）依次次之。同时羊草分布概率分别与冷季降雨量（bio19），干季降雨量（bio17）和最干月降水量（bio14）为单峰响应关系。较纬度和海拔因子，经度是影响我国羊草分布格局的主要因子。

关键词: 羊草, MaxEnt模型, 生物气候

CLC Number:

P464

CHEN Ji-shan, LIU Jie-lin, ZHU Rui-fen, LI Ji-kai, DI Gui-li, ZHANG Qiang, MAO Dong-jie, KONG Xiao-lei. Analysis of Suitable Bioclimatic Characteristics of Leymus chinensis Using MaxEnt Model[J]. Acta Agrestia Sinica, 2019, 27(1): 35-42.

陈积山, 刘杰淋, 朱瑞芬, 李佶恺, 邸桂俐, 张强, 毛东杰, 孔晓蕾. 基于MaxEnt分析我国羊草分布区的生物气候特征[J]. 草地学报, 2019, 27(1): 35-42.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: https://manu40.magtech.com.cn/Jweb_cdxb/EN/10.11733/j.issn.1007-0435.2019.01.006

https://manu40.magtech.com.cn/Jweb_cdxb/EN/Y2019/V27/I1/35

References

[1] 李建东,杨允菲.松嫩平原羊草草甸植物的生态及分布区型结构分析[J].草业学报,2002,11(4):10-20
[2] 李建东,杨允菲.松嫩平原植物群落时空变化及数据库[M].北京:科学出版社,2011
[3] 韩大勇,杨永兴,杨允菲,等.松嫩平原破碎化羊草草甸退化演替系列植物多样性的空间格局[J].应用生态学报,2012,23(3):666-672
[4] 祝廷成主编.羊草生物生态学[M].长春,吉林科学技术出版社.2004
[5] Kharin V V,Zwiers F W,Zhang X,et al.Changes in Temperature and Precipitation Extremes in the IPCC Ensemble of Global Coupled Model Simulations[J].Journal of Climate,2000,20(8):1419-1444
[6] Kevin E.Trenberth,Aiguo Dai,Roy M.Rasmussen,et al.The changing character of precipitation[J].Bull.amer.meteor.soc,2003,84(9):1205-1217
[7] Allan R P,Soden B J.Atmospheric warming and the amplification of precipitation extremes.Science,2008,321(5895):1481-1484
[8] 吴建国,周巧富.中国嵩草属植物地理分布模式和适应的气候特征[J].植物生态学报,2012,36(3):199-221
[9] 李镇清,刘振国,陈佐忠,杨宗贵.中国典型草原区气候变化及其对生产力的影响[J].草业学报,2003,12(1):4-10
[10] 周广胜,王玉辉.全球生态学[M].北京:气象出版社,2003
[11] 叶永昌,周广胜,殷晓洁.1961-2010年内蒙古草原植被分布和生产力变化-基于MaxEnt模型和综合模型的模拟分析[J].生态学报,2016,36(15):4718-4728
[12] Zhang G G,Kang Y M,Han G D,Sakurai K.Effect of climate change over the past half century on the distribution,extent and NPP of ecosystems of Inner Mongolia[J].Global Change Biology,2011,17(1):377-399
[13] Wang X M,Chen F H,Dong Z B.The relative role of climatic and human factors in desertification in semiarid China[J].Global Environmental Change,2006,16(1):48-57
[14] Zhou G,Wang Y,Wang S.Responses of grassland ecosystems to precipitation and land use along the Northeast China Transect[J].Journal of Vegetation Science,2002,13(3):361-368
[15] 邢丁亮,郝占庆.最大熵原理及其在生态学研究中的应用[J].生物多样性,2011,19(3):295-302
[16] 徐卫华,欧阳志云,李宇,刘建国.基于遥感和GIS的秦岭山系大熊猫生境评价[J].遥感技术与应用,2006,21(3):239-242
[17] 李红梅,韩红香,薛大勇.利用GARP生态位模型预测日本松干蚧在中国的地理分布[J].昆虫学报,2005,48(1):95-100
[18] Ward D F.Modelling the potential geographic distribution of invasive ant species in New Zealand[J].Biological Invasions,2007,9(6):723-735
[19] Steven J P,Miroslav D,Robert E S.A Maximum Entropy Approach to Species Distribution Modelling[J].Banff,Alberta:Proceedings of the Twenty-First International Conference on Machine Learning,2004:655-662
[20] Li H M,Han H X,Xue D Y.Prediction of potential geographic distribution areas for the pine bark scale,Matsucoccus matsumurae (Kuwana)(Homoptera:Margarodidae) in China using GARP modelling system[J].Acta Entomologica Sinica,2005,48(1):95-100
[21] Xing D L,Hao Z Q.The principle of maximum entropy and its applications in ecology[J].Biodiversity Science,2011,19(3):295-302
[22] 李夏子.气候变化对内蒙古草原优势牧草生长发育的影响[D].呼和浩特:内蒙古农业大学,2014
[23] 谭丽萍,周广胜.内蒙古羊草群落、功能群、物种变化及其与气候的关系[J].生态学报,2013,33(2):650-658
[24] 张彩琴,杨持.内蒙古典型草原生长季内不同植物生长动态的模拟[J].生态学报,2007,27(9):3618-3629
[25] 王玉辉,周广胜.内蒙古地区羊草草原植被对温度变化的动态响应[J].植物生态学报,2004,28(4):507-514
[26] Luo C,Xu W H,Zhou Z X,Ouyang Z Y,Zhang L.Habitat prediction for forest musk deer (Moschus berezovskii) in Qinling mountain range based on niche model[J].Acta Ecologica Sinica,2011,31(5):1211-1229
[27] Li M Y,Ju Y W,Kumar S,Stohlgren T J.Modelling potential habitat for alien species of Dreissena polymorpha in the continental USA[J].Acta Ecologica Sinica,2008,28(9):4253-4258
[28] Stachura-Skierczynska K,Tumiel T,Skierczyski M.Habitat prediction model for three-toed woodpecker and its implication for the conservation of biologically valuable forests[J].Forest Ecology and Management,2009,258(5):697-703
[29] Haegeman B,Etienne R S.Entropy maximization and the spatial distribution of species[J].The American Naturalist,2010,175(4):74-90
[30] Hijmans R J,Cameron S E,Parra J L,et al.Very high resolution interpolated climate surfaces for global land areas[J].International Journal of Climatology,2005,25:1965-1978
[31] Jarvis A,Guarino L,Williams D,et al.2002.The use of GIS in the spatial analysis of wild peanut distributions and the implications for plant genetic resources conservation[J].Plant Genetic Resources Newsletter,131:29-35
[32] Phillips S J,Anderson R P,Schapire R E.Maximum entropy modelling of species geographic distributions[J].Ecological Modelling,2006,190(3/4):231-259
[33] Elith J,Phillips S J,Hastie T,et al.A statistical explanation of MaxEnt for ecologists[J].Diversity and Distributions,2011,17(1):43-57
[34] 陈新美,蕾渊才,张雄清,贾宏炎.样本量对MaxEnt模型预测物种分布精度和稳定性的影响[J].林业科学,2012,48(1):53-59

Analysis of Suitable Bioclimatic Characteristics of Leymus chinensis Using MaxEnt Model

基于MaxEnt分析我国羊草分布区的生物气候特征

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments

[1]	SUN Wei, LIU Yu-ling, WANG De-ping, ZHAO Min, YANG He-long, SONG Qian, XIAO Hong, WANG Kai-li, CAO Jing, RONG Yu-ping. Effects of Reseeding Leymus Chinensis (Trin.)Tzvel. and Medicago Falcata L. on Plant Community Characteristics of Degraded Meadow Steppe [J]. Acta Agrestia Sinica, 2021, 29(8): 1809-1817.
[2]	LI Wen-jing, WANG Jun-feng, GAO Xiao-di, SHI Yu-jie, MU Chun-sheng. Effects of Nitrogen and Phosphorus Addition on the Hay Yield and Quality of Leymus chinensis Under Drought Conditions [J]. Acta Agrestia Sinica, 2021, 29(4): 743-748.
[3]	HOU Wen-hui, ZHANG Yu-xia, WANG Hong-jing, ZHANG Qing-xin, HOU Mei-ling, CONG Bai-ming, DU Xiao-yan. Effects of Nitrogen Application Level on Leaf Photosynthetic Characteristics and Chlorophyll Fluorescence Characteristics of Leymus chinensis [J]. Acta Agrestia Sinica, 2021, 29(3): 531-536.
[4]	ZHANG Tian-jun, ZHANG Yong-liang, LI Wei, HOU Mei-ling, YU Jin-xin, Li Xin. Effect of Growth Retardants on Content of Non-structural Carbohydrate and Products of Leymus chinensis [J]. Acta Agrestia Sinica, 2021, 29(2): 407-411.
[5]	ZHANG Zi-wei, GAO Bin, LIN Chang-cun, WANG Qing, LIU Jia-le, YANG Na, SU De-rong, PING Xiao-yan. Effects of Grazing Intensity on Biomass Allocation Patterns of Six Plant Species in a Typical Grassland [J]. Acta Agrestia Sinica, 2021, 29(1): 149-155.
[6]	ZHU Rui-fen, LIU Jie-lin, WANG Jian-li, HAN Wei-bo, SHEN Zhong-bao, LI Da. Study on Bacterial Community Diversity and Environmental Factors in Rhizosphere Soil of Leymuschinensis [J]. Acta Agrestia Sinica, 2020, 28(3): 652-660.
[7]	CHEN Ji-shan, ZHANG Qiang, LIU Jie-lin, DI Gui-li, ZHU Rui-fen, KONG Xiao-lei. Study on Characteristic Spectral Model of Moisture Content of Leymus chinensis Based on Near Infrared Prediction [J]. Acta Agrestia Sinica, 2019, 27(6): 1774-1780.
[8]	CHEN Ji-shan, ZHU Rui-fen, ZHANG Qiang, DU You-ying, KONG Xiao-lei. Research on the Rapid Determination of Conventional Nutritional Components of Leymus Chinensis by Establishing Near Infrared Characteristic Wavelength Model [J]. Acta Agrestia Sinica, 2019, 27(4): 867-873.
[9]	ZHU Rui, CHEN Qing, MA Cheng-cang, WANG Zhong-liang. Effects of Land Use Pattern Changes on Abundance of Ammonia-Oxidizing Microorganisms in Leymus Chinensis Grassland in Inner Mongolia [J]. Acta Agrestia Sinica, 2019, 27(2): 437-442.
[10]	TONG Shu-ping, LIANG Zheng-wei, GUAN Fa-chun, ZONG Xian-chun, ZHANG Yong-feng, HUANG Li-hua, WANG Ming-ming. Biodiversity Characteristics and Biomass of Artificial Transplanting Leymus chinensisgrassland in Soda Saline-Alkali land of Songnen Plain [J]. Acta Agrestia Sinica, 2019, 27(1): 22-27.
[11]	GENG Yuan-bo, WANG Zi-teng, LI Ru-xia. Analysis of Differences and Influencing Factors of Plant δ¹³C in Leymus chinensis Grassland in Inner-Mongolia,China [J]. Acta Agrestia Sinica, 2019, 27(1): 153-162.
[12]	WANG Kai-li, YANG He-long, XIAO Hong, SUN Wei, RONG Yu-ping. Seasonal Carbohydrate Changes of Three Grasses in Hulunbuir Meadow Steppe [J]. Acta Agrestia Sinica, 2018, 26(5): 1056-1063.
[13]	CHEN Ji-shan, KONG Xiao-lei, ZHU Rui-fen, ZHANG Qiang, DI Gui-li, KANG Xintong, LU Juan. Effects of Cutting Root and Nitrogen Application on Soil Physical and Chemical Properties of Degraded Leymus chinensis Grassland [J]. Acta Agrestia Sinica, 2018, 26(5): 1104-1108.
[14]	LI Xiao-yu, WANG Biao, ZHANG Ji-tao, MU Chun-sheng. Quantitative Traits of Sexual Reproduction of Leymus chinensis Responding to Different Exogenous Plant Hormones Concentration and Spraying Time [J]. Acta Agrestia Sinica, 2018, 26(4): 826-831.
[15]	LIN Ji-xiang, SHENG Hou-cai, SHAO Shuai, WANG Ying, MU Chun-sheng, LI Zhuo-lin, QIN Li-xin. Ecological Responses of Different Maturity Leymus chinensis Seeds to Soil Burial Depths in Songnen Grassland [J]. , 2014, 22(1): 52-56.