基于Biomod2组合模型预测青藏高原特有属扇穗茅属物种的潜在分布

doi:10.11733/j.issn.1007-0435.2020.06.019

草地学报 ›› 2020, Vol. 28 ›› Issue (6): 1650-1656.DOI: 10.11733/j.issn.1007-0435.2020.06.019

基于Biomod2组合模型预测青藏高原特有属扇穗茅属物种的潜在分布

刘涛^1,4, 刘玉萍^2,3, 吕婷^1,4, 梁瑞芳^2,3, 刘峰^2,3, 马子兰^2,3, 周勇辉⁵, 陈志², 苏旭^2,3,4

1. 青海师范大学地理科学学院, 青海西宁 810008;
2. 青海师范大学青海省青藏高原药用动植物资源重点实验室, 青海西宁 810008;
3. 青海师范大学生命科学学院, 青海西宁 810008;
4. 青藏高原地表过程与生态保育教育部重点实验室, 青海西宁 810008;
5. 赣州市花卉研究所, 江西赣州 341000

收稿日期:2020-06-18 修回日期:2020-08-25 出版日期:2020-12-15 发布日期:2020-12-02
通讯作者: 苏旭
作者简介:刘涛(1993-),男,甘肃酒泉人,博士研究生,主要从事植被生态与生物地理学研究,E-mail:532226527@qq.com
基金资助:
国家自然科学基金项目（31960052，41761009）；青海省自然科学基金项目（2019-ZJ-7011）；科技基础资源调查专项项目（2017FY100202-02）；中国科学院“西部之光”人才培养计划项目（2019-1-4）；青海省青藏高原药用动植物资源重点实验室项目（2020-ZJ-Y40）共同资助

Potential Distribution of Littledalea,an Endemic Genus from the Qinghai-Tibet Plateau,Predicted by Biomod2 Models

LIU Tao^1,4, LIU Yu-ping^2,3, LV Ting^1,4, LIANG Rui-fang^2,3, LIU Feng^2,3, MA Zi-lan^2,3, ZHOU Yong-hui⁵, CHEN Zhi², SU Xu^2,3,4

1. School of Geography, Qinghai Normal University, Xining, Qinghai Province 810008, China;
2. Key Laboratory of Medicinal Animal and Plant Resources of the Qinghai-Tibet Plateau in Qinghai Province, Qinghai Normal University, Xining, Qinghai Province 810008, China;
3. School of Life Science, Qinghai Normal University, Xining, Qinghai Province 810008, China;
4. Key Laboratory of Education Ministry of Earth Surface Processes and Ecological Conservation of the Qinghai-Tibet Plateau, Qinghai Normal University, Xining, Qinghai Province 810008, China;
5. Ganzhou City Flower Research Institute, Ganzhou, Jiangxi Province 341000, China

Received:2020-06-18 Revised:2020-08-25 Online:2020-12-15 Published:2020-12-02

摘要/Abstract

摘要： 为研究扇穗茅属（Littledalea）在青藏高的分布区及影响其分布范围的因子，本研究通过野外采样，利用Biomod2组合模型预测扇穗茅属3个物种（寡穗茅（Littledalea przevalskyi），藏扇穗茅（Littledalea tibetica），扇穗茅（Littledalea racemosa））地理分布格局及限制因子。研究结果表明：扇穗茅（L. racemosa）潜在适生区位于西藏自治区南部、四川西南部，分布面积最大（17.792万km²）；藏扇穗茅（L.tibetica）适生区面积最小（9.019万km²），位于青海省南部、西藏自治区北部；寡穗茅（L.przevalskyi）分布于甘肃省西南部、青海省北部（15.783万km²）。当前生境环境气候影响扇穗茅属物种分布相对重要性较高的生态因子有7个，海拔（Altitude）因子影响最高。相比该属当前物种潜在分布，在未来2种温室气体排放情景下（2050年和2100年、RCP4.5和RCP8.5），寡穗茅和扇穗茅适生区面积显著增加，特别是藏北高原那曲及玉树等地，而藏扇穗茅适生区整体缩小，未来气候变化可能对该属藏扇穗茅潜在分布的威胁最大。

关键词: 扇穗茅属, 生态位模型, 物种分布, 潜在适生区

Abstract: In order to explore the potential distribution and influenceable factors of Littledalea in the Qinghai-Tibet Plateau,on the basis of our field investigation,we used Biomod2 ensemble models to predicate the distribution range and limited factors of three species of Littledalea (L. racemosa,L. tibetica and L. przevalskyi). The results showed that the potential distribution range of L. racemosa was the biggest at 177 920 km²,concentrated in southwestern Sichuan,northern Tibet. L. tibetica was the minimum at 90 190 km²,concentrated in southern Qinghai and northern Tibet. L. przevalskyi concentrated in southwestern Gansu and northern Qinghai was about 157 830 km². There were seven factors affected potential distribution of Littledalea,altitude was the principal factor. L. przevalskyi and L. racemosa should overspread than current distribution in the two kind of temperature increase simulation scenarios (RCP4.5 and RCP8.5) especially in the Northern Tibetan Plateau and Yushu Qinghai,but it should be shrinkage of total range of L. tibetica,its potential distribution appears in the most threaten of Littledalea in the future.

Key words: Littledalea, Ecological niche model, Species distribution, Potential fitness

中图分类号:

Q948.13

刘涛, 刘玉萍, 吕婷, 梁瑞芳, 刘峰, 马子兰, 周勇辉, 陈志, 苏旭. 基于Biomod2组合模型预测青藏高原特有属扇穗茅属物种的潜在分布[J]. 草地学报, 2020, 28(6): 1650-1656.

LIU Tao, LIU Yu-ping, LV Ting, LIANG Rui-fang, LIU Feng, MA Zi-lan, ZHOU Yong-hui, CHEN Zhi, SU Xu. Potential Distribution of Littledalea,an Endemic Genus from the Qinghai-Tibet Plateau,Predicted by Biomod2 Models[J]. Acta Agrestia Sinica, 2020, 28(6): 1650-1656.

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参考文献

[1] 吴征镒. 西藏植物志(第五卷)[M]. 北京:科学出版社,1987:138-139
[2] Hooker J D. Flora of British India[M]. London:Reeve & Co,1896:2472-2473
[3] 耿以礼. 中国主要植物图说-禾本科[M]. 北京:科学出版社,1959:254-257
[4] Tzvelev N N. Planta Asiae Centralium[M]. Aedibus:Nauka,1968:173-174
[5] 刘亮. 中国植物志(第九卷)第2分册[M]. 北京:科学出版社,2002:377-380
[6] 卢生莲. 扇穗茅属,青海植物志(第四卷)[M]. 西宁:青海人民出版社,1999:67-69
[7] Wu Z Y,Raven P H,Hong D Y. Flora of China[M]. Beijing:Science Press and St. Louis:Missouri Botanical Garden Press,2006:752-759
[8] Hitchcock A S. New grasses from Kashmir[J]. Journal of Washington Academy of Sciences,1933(23):134-136
[9] 耿伯介,刘亮. 国产画眉草族及其新分布至云南之二属[J]. 植物学报,1960(9):48-75
[10] 周勇辉,刘玉萍,吕婷,等. 基于广义形态试论藏扇穗茅的归并[J]. 植物研究,2016,36(5):653-659
[11] Thuiller W. Biomod:optimizing predictions of species distributions and projecting potential future shifts under global change[J]. Global Change Biology,2003(32):369-373
[12] Aguirre-Gutiérrez J,Carvalheiro L G,Polce C,et al. Fit-for-purpose:Species distribution model performance depends on evaluation criteria:Dutch Hover flies as a case study[J]. PLoS One,2013,8(5):e63708
[13] 罗玫,王昊,吕植. 使用大熊猫数据评估Biomod2和MaxEnt分布预测模型的表现[J]. 应用生态学报,2017,28(12):4001-4006
[14] Guo Y,Li X,Zhao Z,et al. Predicting the impacts of climate change,soils and vegetation types on the geographic distribution of Polyporus umbellatus in China[J]. Science of the Total Environment,2019(648):1-11
[15] 吕婷,刘玉萍,周勇辉,等. 青藏高原扇穗茅属的分类现状及种质资源收集[J]. 湖北农业科学,2018,57(22):11-13
[16] Gama M,Crespo D,Dolbeth M,et al. Ensemble forecasting of Corbicula fluminea worldwide distribution:Projections of the impact of climate change[J]. Aquatic Conservation Marine & Freshwater Ecosystems,2017(1):1-10
[17] Shen X,An R,Feng L,et al. Vegetation changes in the three-river headwaters region of the tibetan plateau of china[J]. Ecological Indicators,2018(93):804-812
[18] Lobo J M,Tognelli M F. Exploring the effects of quantity and location of pseudo-absences and sampling biases on the performance of distribution models with limited point occurrence data[J]. Journal for Nature Conservation,2011,19(1):1-7
[19] Guisan A,Thuiller W,Zimmermann N E. Habitat suitability and distribution models:with applications in R[M]. Cambridge:Cambridge University Press,2017:242-243
[20] Xu D,Zhuo Z,Wang R,et al. Modeling the distribution of zanthoxylum armatum in china with Maxent modeling[J]. Global Ecology and Conservation,2019(19):e00691
[21] Liu Y,Huang P,Lin F,et al. Maxent modelling for predicting the potential distribution of a near threatened rosewood species (Dalbergia cultrata Graham exBenth)[J]. Ecological Engineering,2019(141):105612
[22] 黄晓霞,江源,刘全儒,等. 小五台亚高山草甸植物种分布的生境条件解释[J]. 草业学报,2007(6):7-13
[23] 张晓玮. 中国云杉属植物地理分布的水力限制与增温中文响应研究[D]. 兰州:兰州大学,2015:41-42
[24] 郭柯. 青藏高原扇穗茅高寒草原的基本特点[J]. 植物生态学报,1995(3):248-254
[25] 刘玉萍,吕婷,朱迪,等. 青藏高原特有种-藏扇穗茅叶绿体基因组测序及序列分析[J]. 植物研究,2018,38(4):518-525
[26] Liu Y P,Su X,Lv T,et al. Characterization of the complete chloroplast genome sequence of Littledalea racemosa Keng (Poaceae:Bromeae)[J]. Conservation Genetics Resources,2018(10):343-346
[27] 尚占环,董全民,施建军,等. 青藏高原"黑土滩"退化草地及其生态恢复近10年研究进展-兼论三江源生态恢复问题[J]. 草地学报,2018,26(1):1-21
[28] 陈积山,刘杰淋,朱瑞芬,等. 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

基于Biomod2组合模型预测青藏高原特有属扇穗茅属物种的潜在分布

Potential Distribution of Littledalea,an Endemic Genus from the Qinghai-Tibet Plateau,Predicted by Biomod2 Models

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