牯岭凤仙花及其传粉昆虫在中国的潜在分布区域分析

doi:10.17521/cjpe.2021.0108

植物生态学报 ›› 2022, Vol. 46 ›› Issue (7): 785-796.DOI: 10.17521/cjpe.2021.0108

牯岭凤仙花及其传粉昆虫在中国的潜在分布区域分析

苏启陶¹, 杜志喧¹^,², 周兵¹, 廖永辉¹, 王呈呈¹, 肖宜安¹^,^*()

¹井冈山大学生命科学学院, 江西吉安 343009
²江西农业大学农学院, 南昌 330045

收稿日期:2021-03-25 接受日期:2021-06-24 出版日期:2022-07-20 发布日期:2022-06-09
通讯作者: 肖宜安
作者简介:* 肖宜安: 0000-0003-1905-2225 (iyanxiao@163.com)
苏启陶: ORCID: 0000-0001-5894-2904
基金资助:
国家自然科学基金(41561012);江西省教育厅科技项目(GJJ201038);江西省教育厅科技项目(GJJ190574);江西省自然科学基金(20192BAB214018)

Potential distribution of Impatiens davidii and its pollinator in China

SU Qi-Tao¹, DU Zhi-Xuan¹^,², ZHOU Bing¹, LIAO Yong-Hui¹, WANG Cheng-Cheng¹, XIAO Yi-An¹^,^*()

¹School of Life Sciences, Jinggangshan University, Ji'an, Jiangxi 343009, China
²School of Agriculture Sciences, Jiangxi Agricultural University, Nanchang 330045, China

Received:2021-03-25 Accepted:2021-06-24 Online:2022-07-20 Published:2022-06-09
Contact: XIAO Yi-An
Supported by:
National Natural Science Foundation of China(41561012);Science and Technology Project of Education Department of Jiangxi Province(GJJ201038);Science and Technology Project of Education Department of Jiangxi Province(GJJ190574);Natural Science Foundation of Jiangxi Province(20192BAB214018)

摘要/Abstract

摘要：

牯岭凤仙花(Impatiens davidii)为中国特有的珍稀观赏花卉, 野生种群较小, 同时依赖特殊的传粉者三条熊蜂(Bombus trifasciatus)授粉, 为特化传粉植物, 传粉资源为限制其种群扩散的重要因素。该研究基于63条牯岭凤仙花分布数据、54条三条熊蜂分布数据、19个环境气候因子, 运用最大熵(MaxEnt)模型模拟预测当前及未来(2050s、2070s) 3种气候代表性浓度路径情景RCP2.6、RCP4.5、RCP8.5下牯岭凤仙花和三条熊蜂的潜在分布区域。结果表明: 影响牯岭凤仙花分布的主要环境因子为最暖季度降水量。当前气候条件下, 牯岭凤仙花与三条熊蜂具有较高的地理分布重合度、生态位宽度、生态位重合度, 共同分布区域占比高达99.09%, 较大程度上保证了牯岭凤仙花的传粉资源; 在未来3种气候情景下, 牯岭凤仙花分布区域向东北、华北扩张, 适生面积增加6.60-22.19万km²; 三条熊蜂适生区整体略微北移, 适生面积增加4.48-15.50万km²; 两者共同分布区域占牯岭凤仙花适生区域比例降低1.40%-9.00%, 表明未来牯岭凤仙花适生区可能受到气候变化和传粉资源缺失共同影响。

关键词: 牯岭凤仙花, 三条熊蜂, 气候变化, MaxEnt模型, 传粉

Abstract:

Aims Impatiens davidii, a rare ornamental flower endemic to China, had a small wild population and depended on pollination of Bombus trifasciatus. As I. davidii has a specialized pollination system, pollination resources were one of the important factors limiting its population diffusion.

Methods In this study, the maximum entropy (MaxEnt) model was used to simulate the potential distribution area of the two species based on 63 distribution records of I. davidii, 54 distribution records of B. trifasciatus, and 19 climatic factors. The potential distribution of the two species under three climate representative concentration pathway scenarios RCP2.6, RCP4.5, and RCP8.5 were predicted for the future (2050s, 2070s).

Important findings The results showed that the main environmental factor affecting the distribution of I. davidii was precipitation of warmest quarter. Under the current climate conditions, the range overlap, niche overlap, and niche breadth of two species were higher. Approximately 99.09% of the suitable areas of I. davidiiwas overlapped with B. trifasciatus, which ensured the pollination resources to a large extent. Under the three future climate scenarios, the distribution area of I. davidii will expand to northeast and north China, and the suitable habitat area will increase by 66 000-221 900 km². The suitable habitat area of B. trifasciatus moved northward slightly, and increased by 44 800-155 000 km². The proportion of suitable habitat areas of I. davidii overlapped with B. trifasciatus decreased by 1.40%-9.00%, indicating that the suitable area of I. davidii might be affected by climate change and lack of pollination resources in the future.

Key words: Impatiens davidii, Bombus trifasciatus, climate change, MaxEnt model, pollination

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. 植物生态学报, 2022, 46(7): 785-796. DOI: 10.17521/cjpe.2021.0108

SU Qi-Tao, DU Zhi-Xuan, ZHOU Bing, LIAO Yong-Hui, WANG Cheng-Cheng, XIAO Yi-An. Potential distribution of Impatiens davidii and its pollinator in China. Chinese Journal of Plant Ecology, 2022, 46(7): 785-796. DOI: 10.17521/cjpe.2021.0108

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链接本文: https://www.plant-ecology.com/CN/10.17521/cjpe.2021.0108

https://www.plant-ecology.com/CN/Y2022/V46/I7/785

图/表 13

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变量 Variable	描述 Description	单位 Unit
Bio1	年平均气温 Mean annual air temperature	℃ × 10
Bio2	平均气温日较差 Mean diurnal range (mean of monthly (maximum temperature - minimum temperature))	℃ × 10
Bio3	等温性 Isothermality	-
Bio4	气温季节性变化标准差 Variation of temperature seasonlity	-
Bio5	最暖月最高气温 Maximum temperature of warmest month	℃ × 10
Bio6	最冷月最低气温 Minimum temperature of coldest month	℃ × 10
Bio7	温度年较差 Temperature annual range	℃ × 10
Bio8	最湿季度平均气温 Mean temperature of wettest quarter	℃ × 10
Bio9	最干季度平均气温 Mean temperature of driest quarter	℃ × 10
Bio10	最暖季度平均气温 Mean temperature of warmest quarter	℃ × 10
Bio11	最冷季度平均气温 Mean temperature of coldest quarter	℃ × 10
Bio12	年降水量 Mean annual precipitation	mm
Bio13	最湿月降水量 Precipitation of wettest month	mm
Bio14	最干月降水量 Precipitation of the driest month	mm
Bio15	降水量季节性变化标准差 Variation of precipitation seasonlity	-
Bio16	最湿季度降水量 Precipitation of wettest quarter	mm
Bio17	最干季度降水量 Precipitation of driest quarter	mm
Bio18	最暖季度降水量 Precipitation of warmest quarter	mm
Bio19	最冷季度降水量 Precipitation of coldest quarter	mm

变量 Variable	描述 Description	单位 Unit
Bio1	年平均气温 Mean annual air temperature	℃ × 10
Bio2	平均气温日较差 Mean diurnal range (mean of monthly (maximum temperature - minimum temperature))	℃ × 10
Bio3	等温性 Isothermality	-
Bio4	气温季节性变化标准差 Variation of temperature seasonlity	-
Bio5	最暖月最高气温 Maximum temperature of warmest month	℃ × 10
Bio6	最冷月最低气温 Minimum temperature of coldest month	℃ × 10
Bio7	温度年较差 Temperature annual range	℃ × 10
Bio8	最湿季度平均气温 Mean temperature of wettest quarter	℃ × 10
Bio9	最干季度平均气温 Mean temperature of driest quarter	℃ × 10
Bio10	最暖季度平均气温 Mean temperature of warmest quarter	℃ × 10
Bio11	最冷季度平均气温 Mean temperature of coldest quarter	℃ × 10
Bio12	年降水量 Mean annual precipitation	mm
Bio13	最湿月降水量 Precipitation of wettest month	mm
Bio14	最干月降水量 Precipitation of the driest month	mm
Bio15	降水量季节性变化标准差 Variation of precipitation seasonlity	-
Bio16	最湿季度降水量 Precipitation of wettest quarter	mm
Bio17	最干季度降水量 Precipitation of driest quarter	mm
Bio18	最暖季度降水量 Precipitation of warmest quarter	mm
Bio19	最冷季度降水量 Precipitation of coldest quarter	mm

环境变量 Variable	描述 Description	贡献率 Percent contribution (%)
Bio18	最暖季度降水量 Precipitation of warmest quarter	51.5
Bio4	气温季节性变化标准差 Variation of temperature seasonlity	23.4
Bio15	降水量季节性变化标准差 Variation of precipitation seasonlity	8.0
Bio13	最湿月降水量 Precipitation of wettest month	6.4
Bio6	最冷月最低气温 Minimum temperature of coldest month	6.1
Bio14	最干月降水量 Precipitation of driest month	3.4

环境变量 Variable	描述 Description	贡献率 Percent contribution (%)
Bio18	最暖季度降水量 Precipitation of warmest quarter	51.5
Bio4	气温季节性变化标准差 Variation of temperature seasonlity	23.4
Bio15	降水量季节性变化标准差 Variation of precipitation seasonlity	8.0
Bio13	最湿月降水量 Precipitation of wettest month	6.4
Bio6	最冷月最低气温 Minimum temperature of coldest month	6.1
Bio14	最干月降水量 Precipitation of driest month	3.4

	物种 Species	当前 Current	RCP2.6		RCP4.5		RCP8.5
	物种 Species	当前 Current	2050s	2070s	2050s	2070s	2050s	2070s
非适生区 Unsuitable area	A	731.36	716.28	723.51	713.52	711.12	704.28	705.45
非适生区 Unsuitable area	B	717.03	712.54	710.85	710.43	711.38	710.74	701.52
低度适生区 Marginal area	A	82.56	95.42	89.16	92.61	97.31	100.85	104.75
低度适生区 Marginal area	B	69.67	80.78	82.67	88.63	83.26	95.45	98.96
中度适生区 Suitable area	A	68.67	67.78	62.71	67.00	66.81	71.73	75.91
中度适生区 Suitable area	B	87.82	93.06	89.99	88.18	89.91	91.00	102.05
高度适生区 Optimal area	A	81.25	84.37	88.46	90.72	88.60	86.99	77.75
高度适生区 Optimal area	B	89.33	77.47	80.33	76.60	79.30	66.67	61.32

牯岭凤仙花及其传粉昆虫在中国的潜在分布区域分析

Potential distribution of Impatiens davidii and its pollinator in China

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参考文献 57

相关文章 15

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生态位重合度 Niche overlap		地理分布重合度 Range overlap	生态位宽度 Niche breadth
D	I	地理分布重合度 Range overlap	生态位宽度 Niche breadth
0.460 113	0.746 422	0.917 597	0.806 54/0.748 81

气候情景 Climate scenario	年份 Year	牯岭凤仙花适生区 Suitable area of Impatiens davidii	三条熊蜂适生区 Suitable area of Bombus trifasciatus	共同分布区 Co-distribution areas	共同分布区占牯岭凤仙花适生区比例 Proportion of co-distribution areas among suitable areas of I. davidii (%)
当前 Current	-	232.485 8	246.821 3	230.359 8	99.09
RCP2.6	2050s	247.570 6	251.302 9	234.374 9	94.67
RCP2.6	2070s	240.335 5	253.000 9	234.780 5	97.69
RCP4.5	2050s	250.328 6	253.418 4	234.172 1	93.55
RCP4.5	2070s	252.722 5	252.472 0	232.631 0	92.05
RCP8.5	2050s	259.570 2	253.112 2	234.699 3	90.42
RCP8.5	2070s	258.401 0	262.325 9	232.793 2	90.09

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