气候变化对蒙古扁桃适宜分布范围和空间格局的影响

doi:10.3724/SP.J.1258.2014.00023

植物生态学报 ›› 2014, Vol. 38 ›› Issue (3): 262-269.DOI: 10.3724/SP.J.1258.2014.00023

气候变化对蒙古扁桃适宜分布范围和空间格局的影响

马松梅¹^,^*(), 聂迎彬², 耿庆龙³, 王荣学⁴

¹石河子大学理学院地理系, 新疆石河子 832000
²新疆农垦科学院作物研究所, 新疆石河子 832000
³新疆农业科学院土壤肥料与农业节水研究所, 乌鲁木齐830091
⁴内蒙古自治区巴彦淖尔盟林业种苗站, 内蒙古巴彦淖尔盟 015000

收稿日期:2013-09-10 接受日期:2013-11-29 出版日期:2014-09-10 发布日期:2014-02-27
通讯作者: 马松梅
作者简介:* E-mail: shzmsm@126.com
基金资助:
石河子大学自然科学一般项目(ZRKX-YB-043);国家自然科学基金(41261011);国家重点基础研究发展计划项目(2014CB954201-3)

Impact of climate change on suitable distribution range and spatial pattern in Amygdalus mongolica

MA Song-Mei¹^,^*(), NIE Ying-Bin², GENG Qing-Long³, WANG Rong-Xue⁴

¹Department of Geography, College of Science, Shihezi University, Shihezi, Xinjiang 832000, China
²Institute of Crop Research, Xinjiang Academy of Agri-Reclamation Sciences, Shihezi, Xinjiang 832000, China
³Research Institute of Soil & Fertilizer and Agricultural Water Conservation, Xinjiang Academy of Agricultural Sciences, ürümqi 830091, China;
⁴Forestry Seedling Station of Bayannur Meng of Nei Mongol Autonomous Region, Bayannur Meng, Nei Mongol 015000, China

Received:2013-09-10 Accepted:2013-11-29 Online:2014-09-10 Published:2014-02-27
Contact: MA Song-Mei

摘要/Abstract

摘要：

为模拟、预测气候变化对孑遗、濒危植物蒙古扁桃(Amygdalus mongolica)潜在分布的影响, 利用最大熵(MAXENT)模型模拟、预测、对比、分析、揭示蒙古扁桃在最大冰期(CCSM及MIROC模型)、历史气候(1961-1990年)及未来气候(2020年、2050年和2080年, 政府间气候变化专门委员会排放情景特别报告的A2A情景)条件下的适宜分布范围和空间格局的变化。结果表明: (1)蒙古扁桃在历史气候条件下的潜在分布区集中在蒙古的南戈壁省及东戈壁省, 我国内蒙古巴彦淖尔市、阿拉善左旗、鄂尔多斯市、锡林郭勒盟西部, 河西走廊中部及东部, 宁夏北部及陕西北部, 以及河北北部的部分地区; (2)与历史气候条件下的潜在分布相比, 蒙古扁桃在最大冰期CCSM气候情景下的分布经历了明显的、大范围的向南迁移和范围缩小; (3)未来A2A气候情景下, 其潜在分布范围表现出在2020年明显扩大, 在2050年减小, 到2080年又略有增大的趋势。分布格局表现出不断向我国河北及内蒙古东部, 蒙古东部、北部及西部大幅度扩散、迁移的趋势。

关键词: 蒙古扁桃, 适宜分布范围, 气候变化, MAXENT模型, 空间分布格局

Abstract:

Aims Our objective was to simulate and predict the impact of climate change on potential distribution in the relic and endangered Amygdalus mongolica, hence providing scientific basis for understanding the evolution and protection of this species.
Methods Maximum entropy (MAXENT) model was employed to simulate, forecast, compare, analyze, and reveal the changes in the distribution range and spatial pattern in the relic and endangered A. mongolica at the Last Glacial Maximum (based on Community Climate System Model and the Model for Interdisciplinary Research on Climate), and under the historical (1961-1990) and future climate conditions (2020, 2050 and 2080, all based on the Intergovernmental Panel on Climate Change (IPCC) and Special Report on Emissions Scenarios A2A). The accuracy evaluation of repeat models of A. mongolica, and the average probability of occurrence and standard deviation based on repeat models were analyzed with the spatial analysis methods in the ArcGIS10.0.
Important findings The potential distribution of A. mongolica under the historical climate conditions centered in Ömnögovǐ and Dornogovǐ of Mongolia, Bayannur City, Alxa Zuoqi, Ordos City, and western Xilin Gol Meng of Nei Mongol, the central and eastern regions of Hexi Corridor, the northern Ningxia and Shaanxi, and part of the northern Heibei. Furthermore, the distribution of A. mongolica at the Last Glacial Maximum based on Community Climate System Model climate scenario experienced the widely southward shift and range retraction. Last but not the least, under the future A2A climate scenario of IPCC, the potential distribution of A. mongolica would be significantly increased by 2020, and then decreased by 2050, with a slightly increasing trend until 2080. The distribution patterns of A. mongolica showed a large spread and shift to eastern Hebei and the eastern Nei Mongol of China, and to the eastern, northern, and western Mongolia.

Key words: Amygdalus mongolica, appropriate distribution range, climate change, MAXENT model, spatial distribution pattern

马松梅, 聂迎彬, 耿庆龙, 王荣学. 气候变化对蒙古扁桃适宜分布范围和空间格局的影响. 植物生态学报, 2014, 38(3): 262-269. DOI: 10.3724/SP.J.1258.2014.00023

MA Song-Mei, NIE Ying-Bin, GENG Qing-Long, WANG Rong-Xue. Impact of climate change on suitable distribution range and spatial pattern in Amygdalus mongolica . Chinese Journal of Plant Ecology, 2014, 38(3): 262-269. DOI: 10.3724/SP.J.1258.2014.00023

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.plant-ecology.com/CN/10.3724/SP.J.1258.2014.00023

https://www.plant-ecology.com/CN/Y2014/V38/I3/262

图/表 4

参考文献 34

[1]	Alsos IG, Ehrich D, Thuiller W, Eidesen PB, Tribsch A, Schönswetter P, Lagaye C, Taberlet P, Brochmann C (2012). Genetic consequences of climate change for northern plants. Proceedings of the Royal Society B: Biological Sciences, 279, 2042-2051.
[2]	Anderson RP, Lew D, Peterson AT (2003). Evaluating predictive models of species’ distributions: criteria for selecting optimal models. Ecological Modeling, 162, 211-232.
[3]	Bálint M, Domisch S, Engelhardt C, Haase P, Lehrian S, Sauer J, Theissinger K, Pauls SU, Nowak C (2011). Cryptic biodiversity loss linked to global climate change. Nature Climate Change, 1, 313-318.
[4]	Beatty GE, Provan J (2011). Comparative phylogeography of two related plant species with overlapping ranges in Europe, and the potential effects of climate change on their intraspecific genetic diversity. BMC Evolutionary Biology, 11, 29.
[5]	Bellard C, Bertelsmeier C, Leadley P, Thuiller W, Courchamp F (2012). Impacts of climate change on the future of biodiversity. Ecology Letters, 15, 365-377.
[6]	Beaumont LJ, Pitman A, Perkins S, Zimmermann NE, Yoccoz NG, Thuiller W (2011). Impacts of climate change on the worlds most exceptional ecoregions. Proceedings of the National Academy of Sciences of Sciences of the United States of America, 108, 2306-2311.
[7]	Braconnot P, Otto-Bliesner B, Harrison S, Joussaume S, Peterchmitt JY, Abe-Ouchi A, Crucifix M, Driesschaert E, Fichefet T, Hewitt CD, Kageyama M, Kitoh A, Laine A, Loutre MF, Marti O, Merkel U, Ramstein G, Valdes P, Weber SL, Yu Y, Zhao Y (2007). Results of PMIP2 coupled simulations of the Mid-Holocene and Last Glacial Maximum―Part 1, experiments and large-scale features. Climate of the Past, 3, 261-277.
[8]	Collins WD, Bitz CM, Blackmon ML, Bonan GB, Bretherton CS, Carton JA, Chang P, Doney SC, Hack JJ, Henderson TB, Kiehl JT, Large WG, McKenna DS, Santer BD, Smith RD (2006). The Community Climate System Model version 3 (CCSM3). Journal of Climate, 19, 2122-2143.
[9]	Dawson TP, Jackson ST, House JI, Prentice IC, Mace GM (2011). Beyond predictions: biodiversity conservation in a changing climate. Science, 332, 53-58.
[10]	Désamoré A, Laenen B, Stech M, Papp B, Hedenäs L, Mateo RG, Vanderpoorten A (2012). How do temperate bryophytes face the challenge of a changing environment? Lessons from the past and predictions for the future. Global Change Biology, 18, 2915-2924.
[11]	Espíndola A, Pellissier L, Maiorano L, Hordijk W, Guisan A, Alvarez N (2012). Predicting present and future intra- specific genetic structure through niche hindcasting across 24 millennia. Ecology Letters, 15, 649-657.
[12]	Fang HT, Seqinbate (2007). Blossom character and insect pollination of Amygdalus mongolica Maxim. Chinese Journal of Ecology, 26, 177-181. (in Chinese with English abstract)
	[ 方海涛, 斯琴巴特 (2007). 蒙古扁桃的花部综合特征与虫媒传粉. 生态学杂志, 26, 177-181.]
[13]	Fielding AH, Bell JF (1997). A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24, 38-49.
[14]	Fu LG (1992). China Plant Red Data Book Science Press, Beijing. (in Chinese)
	[ 傅立国 (1992). 中国植物红皮书. 科学出版社, 北京.]
[15]	Ge XJ, Hsu TW, Hung KH, Lin CJ, Huang CC, Chiang YC, Chiang TY (2012). Inferring multiple refugia and phylogeographical patterns in Pinus massoniana based on nucleotide sequence variation and DNA fingerprinting. PLoS ONE, 7(8), e43717.
[16]	Guo ZT, Ruddiman WF, Hao QZ, Wu HB, Qiao YS, Zhu RX, Peng SZ, Wei JJ, Yuan BY, Liu TS (2002). Onset of Asian desertification by 22 Myr ago inferred from loess deposits in China. Nature, 416, 159-163.
[17]	Hasumi H, Emori S (2004). K-1 Coupled GCM (MIROC) Description. Center for Climate System Research, University of Tokyo, Tokyo.
[18]	Hewitt GM (2004). Genetic consequences of climatic oscillations in the Quaternary. Philosophical Transactions of the Royal Society of London Series B, Biological Sciences, 359, 183-195.
[19]	Ji ZL, Qian AD (1981). The investigation of geographic dis-tribution of Amygdalus pedunculata and Amygdalus mongolica. China Fruits, (2), 38-40. (in Chinese with English abstract)
	[ 姬钟亮, 钱安东 (1981). 长柄扁桃和蒙古扁桃在我国自然分布区的调查. 中国果树, (2), 38-40.]
[20]	Leadley P, Pereira HM, Alkemade R, Fernandez-Manjarrés JF, Proença V, Scharlemann JPW, Walpole MJ (2010) Biodiversity Scenarios: Projections of 21st Century Change in Biodiversity and Associated Ecosystem Services. Secretariat of the Convention on Biological Diversity, Montreal.
[21]	Lioubimtseva E, Henebry GM (2009). Climate and environmental change in arid Central Asia: impacts, vulnerability, and adaptations. Journal of Arid Environments, 73, 963-977. DOI URL
[22]	Liu YX (1995). A study on origin and formation of the Chinese desert floras. Acta Phytotaxonomica Sinica, 33, 131-143. (in Chinese with English abstract)
	[ 刘媖心 (1995). 试论我国沙漠地区植物区系的发生与形成. 植物分类学报, 33, 131-143.]
[23]	Ma SM, Zhang ML, Ni J, Xi C (2012). Modelling the geographic distributions of endemic genera in the eastern Central Asian desert. Nordic Journal of Botany, 30, 372-384.
[24]	McCarthy JJ (2001). Climate Change 2001: Impacts, Adaptation, and Vulnerability: Contribution of Working Group II to the Third Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, New York.
[25]	Parmesan C, Duarte CM, Poloczanska E, Richardson AJ, Singer MC (2011). Overstretching attribution. Nature Climate Change, 1, 2-4.
[26]	Petit RJ, Hu FS, Dick CW (2008). Forests of the past: a window to future changes. Science, 320, 1450-1452.
[27]	Pereira HM, Leadley PW, Proenca V, Alkemade R, Scharlemann JPW, Fernandez-Manjarrés JF, Araújo MB, Balvanera P, Biggs R, Cheung WWL, Chini L, Cooper HD, Gilman EL, Guéenette S, Hurtt GC, Huntington HP, Mace GM, Oberdorff T, Revenga C, Rodrigues P, Scholes RJ, Sumalia UR, Waopole M (2010). Scenarios for global biodiversity in the 21st century. Science, 330, 1496-1501.
[28]	Rosenzweig C, Karoly D, Vicarelli M, Neofotis P, Wu Q, Casassa G, Menzel A, Root TL, Estrella N, Seguin B, Tryjanowski P, Liu C, Rawlins S, Imeson A (2008). Attributing physical and biological impacts to anthropogenic climate change. Nature, 453, 353-357.
[29]	Salamin N, Wüest RO, Lavergne S, Thuiller W, Pearman PB (2010). Assessing rapid evolution in a changing environment. Trends in Ecology & Evolution, 25, 692-698.
[30]	Thuiller W, Lavorel S, Araújo MB, Sykes MT, Prentice IC (2005). Climate change threats to plant diversity in Europe. Proceedings of the National Academy of Sciences of the United States of America of Sciences of the United States of America, 102, 8245-8250.
[31]	Yan S, Mu GJ, Xu YQ (2000). Quaternary environmental evolution of the Lop Nur Region, NW China. Acta Micropalaeontologica Sinica, 17, 165-169. (in Chinese with English abstract)
	[ 阎顺, 穆桂金, 许英勤 (2000). 罗布泊地区第四纪环境演化. 微体古生物学报, 17, 165-169.]
[32]	Yu DJ (1979). Taxonomy of Fruit Trees of China Agricultural Press, Beijing. 25-81. (in Chinese)
	[ 俞德浚 (1979). 中国果树分类学. 业出版社, 北京. 25-81.]
[33]	Zeng B, Li J (2009). Identification of genetic relationship of Amygdalus plants by SSR. , Xinjiang Agricultural Sciences, 46, 18-22. (in Chinese with English abstract)
	[ 曾斌, 李疆 (2009). 扁桃属植物种质资源鉴定的SSR分析研究. 新疆农业科学, 46, 18-22.]
[34]	Zhao YZ (1995). Study on floristic geographical distribution of Amygdalus mongolica. Acta Scientiarum Naturalium Universitatis Neimongol (Natural Science), 26, 713-715. (in Chinese with English abstract)
	[ 赵一之 (1995). 蒙古扁桃的植物区系地理分布研究. 内蒙古大学学报(自然科学版), 26, 713-715.]

地区 Region	居群编号及地点 Number and location of populations	纬度 Latitude	经度 Longitude	海拔 Altitude (m)	生境 Habitat
内蒙古 Nei Mongol	1 阿拉善左旗特莫乌拉嘎查 Temowula Gazha of Alxa Zuoqi	37°49′ N	104°56′ E	1 465	沙丘 Sand dune
	2 阿拉善左旗贺兰山 Helan Mountain of Alxa Zuoqi	38°51′ N	105°50′ E	2 102	砾石戈壁 Gravel gobi
	3 阿拉善左旗苏力图嘎查 Su Litu Gazha of Alxa Zuoqi	39°55′ N	105°13′ E	1 421	沙丘或砾石沙丘 Sand dunes or gravel dune
	4 阿拉善左旗图克木嘎查 Tukemu Gazha of Alxa Zuoqi	40°24′ N	105°43′ E	1 388	沙丘或砾石沙丘 Sand dunes or gravel dune
	5 乌素图苏海图 Suhaitu, Wusu Tu	39°32′ N	106°35′ E	1 280	小砾石山坡 Small gravel slope
	6 乌素图大麦力沟 Damaili Furrow, Wusu Tu	39°23′ N	106°38′ E	1 382	大砾石山坡 Large gravel slope
	7 乌拉特前旗乌拉山 Ul Mountain, Urad Qianqi	40°44′ N	109°20′ E	1 610	大砾石山坡 Large gravel slope
	8 乌拉特中旗乌加禾镇 Wujiahe Town, Urad Zhongqi	41°18′ N	107°35′ E	1 107	大砾石山坡 Large gravel slope
	9 乌拉特后旗大坝口 Dam Mouth, Urad Houqi	41°04′ N	107°01′ E	1 067	大砾石山坡 Large gravel slope
	10 包头市大青山 Daqing Mountain, Baotou	40°43′ N	109°54′ E	1 195	小砾石山坡 Small gravel slope
甘肃 Gansu	11 祁连山国家级自然保护区 Qilianshan National Nature Reserve	38°09′ N	101°50′ E	2 498	大砾石山坡 Large gravel slope
	12 张掖市龙首山 Longshou Mountain, Zhangye	38°47′ N	101°11′ E	2 203	大砾石山坡 Large gravel slope

地区 Region	居群编号及地点 Number and location of populations	纬度 Latitude	经度 Longitude	海拔 Altitude (m)	生境 Habitat
内蒙古 Nei Mongol	1 阿拉善左旗特莫乌拉嘎查 Temowula Gazha of Alxa Zuoqi	37°49′ N	104°56′ E	1 465	沙丘 Sand dune
	2 阿拉善左旗贺兰山 Helan Mountain of Alxa Zuoqi	38°51′ N	105°50′ E	2 102	砾石戈壁 Gravel gobi
	3 阿拉善左旗苏力图嘎查 Su Litu Gazha of Alxa Zuoqi	39°55′ N	105°13′ E	1 421	沙丘或砾石沙丘 Sand dunes or gravel dune
	4 阿拉善左旗图克木嘎查 Tukemu Gazha of Alxa Zuoqi	40°24′ N	105°43′ E	1 388	沙丘或砾石沙丘 Sand dunes or gravel dune
	5 乌素图苏海图 Suhaitu, Wusu Tu	39°32′ N	106°35′ E	1 280	小砾石山坡 Small gravel slope
	6 乌素图大麦力沟 Damaili Furrow, Wusu Tu	39°23′ N	106°38′ E	1 382	大砾石山坡 Large gravel slope
	7 乌拉特前旗乌拉山 Ul Mountain, Urad Qianqi	40°44′ N	109°20′ E	1 610	大砾石山坡 Large gravel slope
	8 乌拉特中旗乌加禾镇 Wujiahe Town, Urad Zhongqi	41°18′ N	107°35′ E	1 107	大砾石山坡 Large gravel slope
	9 乌拉特后旗大坝口 Dam Mouth, Urad Houqi	41°04′ N	107°01′ E	1 067	大砾石山坡 Large gravel slope
	10 包头市大青山 Daqing Mountain, Baotou	40°43′ N	109°54′ E	1 195	小砾石山坡 Small gravel slope
甘肃 Gansu	11 祁连山国家级自然保护区 Qilianshan National Nature Reserve	38°09′ N	101°50′ E	2 498	大砾石山坡 Large gravel slope
	12 张掖市龙首山 Longshou Mountain, Zhangye	38°47′ N	101°11′ E	2 203	大砾石山坡 Large gravel slope

气候情景 Climate scenario	最小存在阈值 Lowest predicted threshold value	预测成功的点个数 No. of points with successful predictions	p值 p-value
最大冰期(CCSM模型) The Last Glacial Maximum (CCSM model)	4	17	0.011 2
最大冰期(MIROC模型) The Last Glacial Maximum (MIROC model)	4	17	0.394 1
1961-1990年平均气候 Average climate during 1961-1990	8	18	0.011 2
2020年A2A情景 A2A scenario in 2020	9	18	0.020 8
2050年A2A情景 A2A scenario in 2050	3	18	0.077 2
2080年A2A情景 A2A scenario in 2080	3	18	0.040 9

气候情景 Climate scenario	最小存在阈值 Lowest predicted threshold value	预测成功的点个数 No. of points with successful predictions	p值 p-value
最大冰期(CCSM模型) The Last Glacial Maximum (CCSM model)	4	17	0.011 2
最大冰期(MIROC模型) The Last Glacial Maximum (MIROC model)	4	17	0.394 1
1961-1990年平均气候 Average climate during 1961-1990	8	18	0.011 2
2020年A2A情景 A2A scenario in 2020	9	18	0.020 8
2050年A2A情景 A2A scenario in 2050	3	18	0.077 2
2080年A2A情景 A2A scenario in 2080	3	18	0.040 9

气候情景 Climate scenario	百分比 Percentage (%)
最大冰期(CCSM模型)与历史气候对比 The Last Glacial Maximum (CCSM model) vs. historical climate	51.93
最大冰期(MIROC模型)与历史气候对比 The Last Glacial Maximum (MIROC model) vs. historical climate	29.41
2020 (A2A)与历史气候对比 2020 (A2A) vs. historical climate	176.00
2050 (A2A)与历史气候对比 2050 (A2A) vs. historical climate	137.00
2080 (A2A)与历史气候对比 2080 (A2A) vs. historical climate	142.00

气候变化对蒙古扁桃适宜分布范围和空间格局的影响

Impact of climate change on suitable distribution range and spatial pattern in Amygdalus mongolica

全文

PDF (PC)

可视化

被引次数

摘要/Abstract

引用本文

使用本文

图/表 4

参考文献 34

相关文章 15

编辑推荐

Metrics

本文评价

[1]	陈以恒玉素甫江·如素力阿卜杜热合曼·吾斯曼. 2001-2020年天山新疆段草地植被覆盖度时空变化及驱动因素分析[J]. 植物生态学报, 2024, 48(5): 561-576.
[2]	张计深, 史新杰, 刘宇诺, 吴阳, 彭守璋. 气候变化下中国潜在自然植被生态系统碳储量动态[J]. 植物生态学报, 2024, 48(4): 428-444.
[3]	臧妙涵, 王传宽, 梁逸娴, 刘逸潇, 上官虹玉, 全先奎. 基于纬度移栽的落叶松叶、枝、根生态化学计量特征对气候变暖的响应[J]. 植物生态学报, 2024, 48(4): 469-482.
[4]	梁逸娴, 王传宽, 臧妙涵, 上官虹玉, 刘逸潇, 全先奎. 落叶松径向生长和生物量分配对气候变暖的响应[J]. 植物生态学报, 2024, 48(4): 459-468.
[5]	吴茹茹, 刘美珍, 谷仙, 常馨月, 郭立月, 蒋高明, 祁如意. 气候变化对巨柏适宜生境分布的潜在影响和预测[J]. 植物生态学报, 2024, 48(4): 445-458.
[6]	杨宇萌, 来全, 刘心怡. 气候变化和人类活动对内蒙古植被总初级生产力的定量影响[J]. 植物生态学报, 2024, 48(3): 306-316.
[7]	张启, 程雪寒, 王树芝. 北京西山老龄树记载的森林干扰历史[J]. 植物生态学报, 2024, 48(3): 341-348.
[8]	钟姣, 姜超, 刘世荣, 龙文兴, 孙建新. 海南长臂猿食源植物的潜在物种丰富度分布格局[J]. 植物生态学报, 2023, 47(4): 491-505.
[9]	李晓田, 王铁娟, 韩文娟, 张丽, 张慧, 刘晓婷, 刘雅洁. 东阿拉善珍稀濒危植物绵刺种群结构与点格局分析[J]. 植物生态学报, 2023, 47(4): 506-514.
[10]	任培鑫, 李鹏, 彭长辉, 周晓路, 杨铭霞. 洞庭湖流域植被光合物候的时空变化及其对气候变化的响应[J]. 植物生态学报, 2023, 47(3): 319-330.
[11]	李杰, 郝珉辉, 范春雨, 张春雨, 赵秀海. 东北温带森林树种和功能多样性对生态系统多功能性的影响[J]. 植物生态学报, 2023, 47(11): 1507-1522.
[12]	魏瑶, 马志远, 周佳颖, 张振华. 模拟增温改变青藏高原植物繁殖物候及植株高度[J]. 植物生态学报, 2022, 46(9): 995-1004.
[13]	党宏忠, 张学利, 韩辉, 石长春, 葛玉祥, 马全林, 陈帅, 刘春颖. 樟子松固沙林林水关系研究进展及对营林实践的指导[J]. 植物生态学报, 2022, 46(9): 971-983.
[14]	李肖, PIALUANG Bounthong, 康文辉, 冀晓东, 张海江, 薛治国, 张志强. 近几十年来冀西北山地白桦次生林径向生长对气候变化的响应[J]. 植物生态学报, 2022, 46(8): 919-931.
[15]	苏启陶, 杜志喧, 周兵, 廖永辉, 王呈呈, 肖宜安. 牯岭凤仙花及其传粉昆虫在中国的潜在分布区域分析[J]. 植物生态学报, 2022, 46(7): 785-796.