我国寒竹属空间分布特征及影响因素

张怡婷; 夏念和; 林树燕; 丁雨龙

doi:10.12302/j.issn.1000-2006.202311022

我国寒竹属空间分布特征及影响因素

张怡婷, 夏念和, 林树燕, 丁雨龙

南京林业大学学报（自然科学版） ›› 2025, Vol. 49 ›› Issue (2) : 107-114.

PDF(4509 KB)

国家林草科技领军期刊
中国精品科技期刊
中国高校百佳科技期刊
江苏省新闻出版政府奖期刊奖
RCCSE林学权威期刊（A+）
CSCD核心期刊
Scopus数据库收录期刊
中文核心期刊
SCD核心期刊

作者加群：102861116

微信公众号：南京林业大学学报

高级检索

PDF(4509 KB)

南京林业大学学报（自然科学版） ›› 2025, Vol. 49 ›› Issue (2) : 107-114. DOI: 10.12302/j.issn.1000-2006.202311022

研究论文

我国寒竹属空间分布特征及影响因素

张怡婷 ¹ ,
夏念和 ² ,
林树燕 ¹ ,
丁雨龙 ¹^,^*

作者信息 +

Spatial distribution characteristics and influencing factors of Chimonobambusa in China

Author information +

文章历史 +

摘要

【目的】明确我国寒竹属(Chimonobambusa)植物水平分布和垂直分布状况,利用模型模拟方法分析影响我国寒竹属植物分布的主要因素,为寒竹属种质资源的开发、利用和保护提供科学参考。【方法】借助ArcGIS空间分析工具和MaxEnt模型,综合8个环境变量及340个物种分布记录,分析寒竹属物种的空间分布范围及类型、空间分布密度、物种丰富度及相关影响因素。【结果】寒竹属植物在我国分布广泛,主要分布于中亚热带常绿阔叶林北部亚地带,云南、贵州、四川和重庆4个行政区划为分布中心;海拔1 000~2 000 m为寒竹属植物多样性最高的区域;在空间分布上,寒竹属各组之间存在较大差异。模型模拟结果表明,降水量和温度限定了寒竹属植物现代最适宜分布区,潜在分布区与实际分布区具有很好的一致性。【结论】我国寒竹属植物资源丰富,其地理分布与我国植被区划、气候区划等相关,最适宜生存在温度相对较低、气候较湿润、降雨量较为充沛的环境。研究结果对深入挖掘中国竹类资源和物种多样性保护具有重要意义。

Abstract

【Objective】 This study elucidated the horizontal and vertical distribution patterns of Chimonobambusa in China. Using model simulation methods, we analyzes the key factors influencing its distribution, providing a scientific basis for the development, utilization, and conservation of Chimonobambusa germplasm resources.【Method】 The study employed the ArcGIS spatial analyst tools and the MaxEnt model, integrating eight environmental variables and 340 distribution records. We examined the spatial distribution, distribution types, density, species richness, and influencing factors of Chimonobambusa. 【Result】Chimonobambusa species are widely distributed, with their primary centers located in Yunnan, Guizhou, Sichuan, and Chongqing. They are predominantly found in the middle subtropical broadleaf evergreen forest northern subzone, with altitudes between 1 000 and 2 000 meters exhibiting the highest species diversity. Intrageneric differences in spatial distribution are significant. Model simulations reveal that precipitation and temperature are the primary factors limiting the distribution of Chimonobambusa. Furthermore, the potential distribution areas predicted by the model closely align with the actual observed distributions. 【Conclusion】 China possesses abundant Chimonobambusa resources, with their distribution strongly correlated with the country’s vegetation and climatic regionalization. These plants thrive in environments characterized by relatively low temperatures, humid climates, and high rainfall. The findings hold significant value for the sustainable development and conservation of local bamboo resources and the preservation of species diversity in China.

导出引用

张怡婷, 夏念和, 林树燕, 等. 我国寒竹属空间分布特征及影响因素[J]. 南京林业大学学报（自然科学版）. 2025, 49(2): 107-114 https://doi.org/10.12302/j.issn.1000-2006.202311022

ZHANG Yiting, XIA Nianhe, LIN Shuyan, et al. Spatial distribution characteristics and influencing factors of Chimonobambusa in China[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY. 2025, 49(2): 107-114 https://doi.org/10.12302/j.issn.1000-2006.202311022

中图分类号： S718;S795

参考文献

列表( 原文顺序 | 文献年度倒序 | 文中引用次数倒序 ) 可视化分析

[1]	CLARK L G, OLIVEIRA R P. Diversity and evolution of the new world bamboos (Poaceae: Bambusoideae: Bambuseae, Olyreae)[R]. Xalapa, Mexico:Keynote lecture in the 11th World Bamboo Congress, 2018. 本文引用 [1]

[2]	LI D Z, CHRIS STAPLETON. Chimonobambusa Makino [M]//WU Z Y, RAVEN P H, HONG D Y, et al. Flora of China: Vol. 22 (Poaceae). Beijing: Science Press, 2006: 152-161. 本文引用 [4]

[3]	薛纪如, 章伟平. 寒竹属[M]// 耿伯介, 王正平. 中国植物志: 第9卷第1分册. 北京: 科学出版社, 1996: 324-344. 本文引用 [4]

[4]	ZHOU M Y, LIU J X, LIANG Y W, et al. Distribution of Holttumochloa (Poaceae:Bambusoideae) in China with description of a new species revealed by morphological and molecular evidence[J]. Plant Divers, 2017, 39(3):135-139.DOI: 10.1016/j.pld.2017.05.001. 本文引用 [1]

[5]	QIN Q M, TONG Y H, ZHENG X R, et al. Sinosasa (Poaceae:Bambusoideae),a new genus from China[J]. Taxon, 2021, 70(1):27-47.DOI: 10.1002/tax.12422. 本文引用 [1]

[6]	TONG Y H, NIU Z Y, CAI Z Y, et al. Kengiochloa,a new bamboo genus to accommodate the morphologically unique species,Pseudosasa pubiflora (Poaceae)[J]. PhytoKeys, 2023, 221:131-145.DOI: 10.3897/phytokeys.221.98920. 本文引用 [1]

[7]	ZHANG Y X, GUO C, LI D Z. A new subtribal classification of Arundinarieae (Poaceae,Bambusoideae) with the description of a new genus[J]. Plant Divers, 2020, 42(3):127-134.DOI: 10.1016/j.pld.2020.03.004. 本文引用 [1]

[8]	ZHANG Y X, MA P F, LI D Z. A new genus of temperate woody bamboos (Poaceae,Bambusoideae,Arundinarieae) from a limestone montane area of China[J]. PhytoKeys, 2018(109):67-76.DOI: 10.3897/phytokeys.109.27566. 本文引用 [1]

[9]	冯鹏飞, 李玉敏. 2021年中国竹资源报告[J]. 世界竹藤通讯, 2023, 21(2); 100-103. FENG P F, LI Y M. China’s bamboo resources in 2021[J]. World Bamboo Rattan, 2023, 21(2): 100-103. DOI: 10.12168/sjzttx.2023.02.019. 本文引用 [1]

[10]	易同培, 史军义, 马丽莎. 中国竹类图志[M]. 北京: 科学出版社, 2008. YI T P, SHI J Y, MA L S. Iconographia bambusoidearum sinicarum[M].Beijing; Science Press, 2008. 本文引用 [2]

[11]	梁泰然. 中国竹林区划[J]. 河南农学院科技通讯, 1978, 12(1):96-123. LIANG T R. Bamboo forests in China[J]. J Henan Agric Univ, 1978, 12(1):96-123.DOI: 10.16445/j.cnki.1000-2340.1978.01.009. 本文引用 [3]

[12]	OHRNBERGER D. The bamboos of the word:a preliminary study of the names and woody bamboos (Bambusoideae Nees v. Esenb.) documented in lists and maps[M]// The genus Chimonobambusa. India: Originlly Pub, 1990. 本文引用 [2]

[13]	WEN T H. The taxonomy and cultivation of Chimonobambusa Makino[J]. J Amer Soc, 1994, 11(1/2): 1-80. 本文引用 [1]

[14]	MAVITON M E, SANKAR V R. Global priority species of economically important bamboo[R]. Beijing: International Bamboo and Rattan Organization, 2022. 本文引用 [1]

[15]	许祖昌, 罗亚皇, 秦声远, 等. 中国竹类植物馆藏标本现状与地理分布[J]. 生物多样性, 2021, 29(7): 897-909. XU Z C, LUO Y H, QIN S Y, et al. Current status of herbarium specimens and geographical distribution of bamboos (Gramineae:Bambsusoideae) in China[J]. Biodivers Sci, 2021, 29(7):897-909. DOI: 10.17520/biods.2020373. 本文引用 [2]

[16]

董苏君, 马松梅, 张丹, 等. 新疆猪毛菜属植物多样性地理分布格局及其环境解释[J]. 生态学报, 2023, 43(19): 8025-8034.

DONG

S J

, MA

S M

, ZHANG

, et al. Geography distribution pattern and the environmental interpretation of plant species of Salsola genus in Xinjiang[J]. Acta Ecol Sin, 2023, 43(19): 8025-8034.DOI:10.20103/j.stxb.202209012487.

本文引用 [1]

[17]

杨宏, 董京京, 吴桐, 等. 基于MaxEnt模型的迎春樱桃潜在适生区预测[J]. 南京林业大学学报(自然科学版), 2023, 47(4):131-138.

YANG

, DONG

J J

, WU

, et al. Prediction of potential suitable areas of Cerasus discoidea in China based on the MaxEnt model[J]. J Nanjing Fore Univ (Nat Sci Ed), 2023, 47(4):131-138. DOI: 10.12302/j.issn.1000-2006.202108014.

本文引用 [1]

[18]	LI H L, LIU T S. Flora of Taiwan: Volume 5,Angiospermae[M]. Taiwan: Epoch Publishing Co.,1978:741-745. 本文引用 [1]

[19]	易同培. 中国竹类图志( 续-ⅡM]. 北京: 科学出版社, 2017. YI T P. Iconographia bambusoidearum sinicarum-Ⅱ[M]. Beijing: Science Press, 2017. 本文引用 [1]

[20]	王海涛, 史军义, 易同培, 等. 台湾的竹类植物及其特点[J]. 四川林业科技, 2007, 28(6):44-47. WANG H T, SHI J Y, YI T P, et al. Bamboo plants in Taiwan and their features[J]. J Sichuan For Sci Technol, 2007, 28(6):44-47.DOI: 10.16779/j.cnki.1003-5508.2007.06.008. 本文引用 [1]

[21]	中国植被编辑委员会. 中国植被[M]. 北京: 科学出版社,1980. Editorial Committee of China Vegetation Editorial Committee. Chinese vegetation[M]. Beijing: Science Press,1980. 本文引用 [3]

[22]	PHILLIPS S J, ANDERSON R P, SCHAPIRE R E. Maximum entropy modeling of species geographic distributions[J]. Ecol Model, 2006, 190(3/4):231-259.DOI: 10.1016/j.ecolmodel.2005.03.026. 本文引用 [1]

[23]	MENARD S W. Applied logistic regression analysis.series:quantitative applications in the social sciences (Book 106) [M].2nd edition[M]. 2nd edition. SAGE Publications,2001: 111. 本文引用 [1]

[24]	崔相艳, 王文娟, 杨小强, 等. 基于生态位模型预测野生油茶的潜在分布[J]. 生物多样性, 2016, 24(10):1117-1128. CUI X Y, WANG W J, YANG X Q, et al. Potential distribution of wild Camellia oleifera based on ecological niche modeling[J]. Biodivers Sci, 2016, 24(10):1117-1128.DOI:10.17520/biods.2016164. 本文引用 [1]

[25]	TIFFNEY B H. Perspectives on the origin of the floristic similarity between eastern Asia and eastern-north America[J]. J Arnold Arbor, 1985, 66:73-94.DOI:10.5962/bhl.part.13179. 本文引用 [1]

[26]	LIU C R, BERRY P M, DAWSON T P, et al. Selecting thresholds of occurrence in the prediction of species distributions[J]. Ecography, 2005, 28(3):385-393.DOI:10.1111/j.0906-7590.2005.03957.x. 本文引用 [1]

[27]	张新时. 中华人民共和国植被图[M]. 北京: 地质出版社, 2007. ZHANG X S. Vegetation map of the People’s Republic of China[M]. Beijing: Geological Publishing House, 2007. 本文引用 [1]