Forest and Grassland Resources Research >
Prediction of Potential Distribution and Climate Change of Rare Species Cephalotaxus oliveri
Received date: 2021-11-15
Revised date: 2021-12-10
Online published: 2022-03-31
Cephalotaxus oliveri is an II-class national protection of wild plant and a tertiary relic species in China. Understanding its distribution range and its response to climatic factors is helpful to protect the species under climate change. In this study,geographical distribution records from literature and specimen was used to analyze the potential geographical distribution of C.oliveri in China through MaxEnt model. Moreover,based on CMIP6 date from Digital Terrain of China,C. oliveri potential distribution under four climate change scenarios in the following 80 yearswas predicted. The results showed that:1) precipitation in the driest month,slope and annual precipitation were the main climatic factors affecting the distribution of C.oliveri. 2)Under the current climate conditions,highly suitable habitat for C. oliveri accounted for 1.7% of the area of China,mainly concentrated in the southwest edge of the Sichuan Basin,Wuling Mountains - Shennongjia,Xuefeng Mountain,Nanling,Luoxiao Mountain,Dabie Mountain,mountains in Southern Anhui - Tianmu Mountain,Wuyi Mountain - mountains in Southern Zhejiang,Daiyun Mountain and Central Mountains in Taiwan. However,under current climatic conditions,the southwest population (located in Yunnan Province) was not in the range of highly suitable habitat,which may be related to the relatively few definite distribution points and microhabitat effects in the local.3)Overall,the response of C.oliveri distribution to future climate (warm and humid) would be insensitive. Under the four scenarios of climate change,the model predicted that the spatial distribution of highly suitable habitat of the species would not change significantly. The area of low,medium,highly suitable habitat and all degree of suitable habitat would generally increase. The most highly suitable habitat of the species would slightly change under future climate except the SSP245 scenario,which would decrease continually.
Zengli LIU , Lile HU . Prediction of Potential Distribution and Climate Change of Rare Species Cephalotaxus oliveri[J]. Forest and Grassland Resources Research, 2022 , 0(1) : 35 -42 . DOI: 10.13466/j.cnki.lyzygl.2022.01.005
| [1] | 周煜, 胡玉熹. 中国特有植物篦子三尖杉的生物学特性及其保护[J]. 广西植物, 1997,17(3):249-254. |
| [2] | Wang Ting, Wang Zhen, Xia Fan, et al. Local adaptation to temperature and precipitation in naturally fragmented populations of Cephalotaxus oliveri,an endangered conifer endemic to China[J]. Scientific reports, 2016,6(1):1-12. |
| [3] | Xiao Shu, Mu Zhenqiang, Cheng Chunru, et al. Three new biflavonoids from the branches and leaves of Cephalotaxus oliveri and their antioxidant activity[J]. Natural product research, 2019,33(3):321-327. |
| [4] | 国家重点保护野生植物名录.1999.[EB/OL].(1999-09-09)[2021-10-11]. http://www.gov.cn/gongbao/content/2000/content_60072.htm |
| [5] | 国家重点保护野生植物名录.2021.[EB/OL].(2021-09-07)[2021-10-11]. http://www.gov.cn/zhengce/zhengceku/2021-09/09/content_5636409.htm. |
| [6] | Liao Wenbo, Yang Yong. Cephalotaxus oliveri.The IUCN red list of threatened species 2013:e.T32331A2815247.[DB/OL]. [2021-09-11]. https://dx.doi.org/10.2305/IUCN.UK.2013-1.RLTS.T32331A2815247.en. Accessed on 14 December 2010/24 December 2021. |
| [7] | 陈少瑜, 司马永康, 方波. 篦子三尖杉的遗传多样性及濒危原因[J]. 西北林学院学报, 2003,18(2):29-32. |
| [8] | 司马永康, 余鸿, 杨桂英, 等. 云南省三尖杉属植物的地理分布与环境因子的关系[J]. 林业调查规划, 2004,29(1):83-88. |
| [9] | 陈名慧, 张佰军, 刘正华. 修文石灰岩山地篦子三尖杉灌丛群落多样性研究[J]. 贵州科学, 2011,29(2):56-59. |
| [10] | 缪绅裕, 曾庆昌, 王厚麟, 等. 广东仁化篦子三尖杉种群及其生境特征研究[J]. 林业资源管理, 2014(2):98-104. |
| [11] | 付玉嫔, 司马永康, 方波, 等. 篦子三尖杉的居群结构与动态研究[J]. 广东农业科学, 2015(11):48-54. |
| [12] | 夏江林, 何逢斌, 赵丛笑, 等. 岳篦子三尖杉群落多样性分析[J]. 中国野生植物资源, 2015,34(4):51-54. |
| [13] | 郎学东, 苏建荣, 张志钧, 等. 濒危植物篦子三尖杉的群落特征[J]. 林业科学研究, 2011,24(6):727-735. |
| [14] | 杨宗慧, 郎学东, 李帅锋, 等. 篦子三尖杉群落优势种群生态位和种间关系[J]. 林业科学研究, 2015,28(4):473-478. |
| [15] | 冯邦贤, 韦海霞. 黔东南州篦子三尖杉群落结构特征研究[J]. 湖南林业科技, 2017,44(4):34-42 |
| [16] | 符潮, 卢建, 李中阳, 等. 江西篦子三尖杉地理分布及主要群落分析[J]. 江西科学, 2017,35(1):16-22. |
| [17] | 曹基武, 刘春林. 篦子三尖杉生物学特性和繁殖技术[J]. 林业工程学报, 2005,19(6):63-65. |
| [18] | 吴朝斌, 伍铭凯, 杨汉远, 等. 篦子三尖杉育苗技术[J]. 林业实用技术, 2007(8):22-23. |
| [19] | 邹露, 曹福祥, 龙绛雪, 等. 篦子三尖杉愈伤组织的诱导[J]. 经济林研究, 2009,27(2):74-77. |
| [20] | 戴晓勇, 林泽信, 张贵云, 等. 篦子三尖杉种子育苗技术研究[J]. 种子, 2012,31(8):122-125. |
| [21] | 戴晓勇, 任朝辉, 林泽信, 等. 篦子三尖杉的扦插繁殖研究[J]. 种子, 2013,32(7):123-126. |
| [22] | 中国科学院中国植物志委员会. 中国植物志:第七卷[M]. 北京: 科学出版社, 1978. |
| [23] | Wang Chunbo, Wang Tianzong, Su Yingjuan. Phylogeography of Cephalotaxus oliveri(Cephalotaxaceae)in relation to habitat heterogeneity,physical barriers and the uplift of the Yungui Plateau[J]. Molecular phylogenetics and evolution, 2014,80:205-216. |
| [24] | IPCC. Climate Change 2021:The physical science basis.Contribution of working group i to the sixth assessment report of the intergovernmental panel on climate change[R]. Cambridge: Cambridge University Press, 2021. |
| [25] | Parmesan C, Yohe G. A globally coherent fingerprint of climate change impacts across natural systems[J]. Nature, 2003,421(6918):37-42. |
| [26] | Lenoir J, Gégout J C, Marquet P A, et al. A significant upward shift in plant species optimum elevation during the 20th century[J]. Science, 2008,320(5884):1768-1771. |
| [27] | Thuiller W, Lavorel S, Araújo M B, et al. Climate change threats to plant diversity in Europe[J]. Proceedings of the National Academy of Sciences, 2005,102(23):8245-8250. |
| [28] | Alexander J M, Diez J M, Levine J M. Novel competitors shape species' responses to climate change[J]. Nature, 2015,525(7570):515-518. |
| [29] | Rumpf S B, Hülber K, Zimmermann N E, et al. Elevational rear edges shifted at least as much as leading edges over the last century[J]. Global Ecology and Biogeography, 2019,28(4):533-543. |
| [30] | Walther G R, Post E, Convey P, et al. Ecological responses to recent climate change[J]. Nature, 2002,416(6879):389-395. |
| [31] | Thomas C D, Cameron A, Green R E, et al. Extinction risk from climate change[J]. Nature, 2004,427(6970):145-148. |
| [32] | Urban M C. Accelerating extinction risk from climate change[J]. Science, 2015,348(6234):571-573. |
| [33] | 张童, 黄治昊, 彭杨靖, 等. 基于MaxEnt模型的软枣猕猴桃在中国潜在适生区预测[J]. 生态学报, 2020,40(14):4921-4928. |
| [34] | 吕汝丹, 何健, 刘慧杰, 等. 羽叶铁线莲的分布区与生态位模型分析[J]. 北京林业大学学报, 2019,41(2):70-79. |
| [35] | Wu Tongwen, Lu Yixiong, Fang Yongjie, et al. The Beijing Climate Center climate system model(BCC-CSM):The main progress from CMIP5 to CMIP6[J]. Geoscientific Model Development, 2019,12(4):1573-1600. |
| [36] | 张丽霞, 陈晓龙, 辛晓歌. CMIP6情景模式比较计划(Scenario MIP)概况与评述[J]. 气候变化研究进展, 2019,15(5):519-525. |
| [37] | Sillero N. What does ecological modelling model? A proposed classification of ecological niche models based on their underlying methods[J]. Ecological Modelling, 2011,222(8):1343-1346. |
| [38] | Moreno R, Zamora R, Molina J R, et al. Predictive modeling of microhabitats for endemic birds in South Chilean temperate forests using Maximum entropy(MaxEnt)[J]. Ecological Informatics, 2011,6(6):364-370. |
| [39] | Hanley J A, McNeil B J. The meaning and use of the area under a receiver operating characteristic(ROC)curve[J]. Radiology, 1982,143(1):29-36. |
| [40] | 李璇, 李垚, 方炎明. 基于优化的MaxEnt模型预测白栎在中国的潜在分布区[J]. 林业科学, 2018,54(8):153-164. |
| [41] | 郭彦龙, 卫海燕, 路春燕, 等. 气候变化下桃儿七潜在地理分布的预测[J]. 植物生态学报. 2014,38(3):249-261. |
| [42] | 周润, 慈秀芹, 肖建华, 等. 气候变化对亚热带常绿阔叶林优势类群樟属植物的影响及保护评估[J]. 生物多样性, 2021,29(6):697-711. |
| [43] | Suggitt A J, Wilson R J, Isaac N J B, et al. Extinction risk from climate change is reduced by microclimatic buffering[J]. Nature Climate Change, 2018,8(8):713-717. |
| [44] | Pearson R G, Dawson T P. Predicting the impacts of climate change on the distribution of species:are bioclimate envelope models useful?[J]. Global ecology and biogeography, 2003,12(5):361-371. |
/
| 〈 |
|
〉 |