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Forest and Grassland Resources Research >

2019 , Vol. 0 >Issue 4: 37 - 45

DOI: https://doi.org/10.13466/j.cnki.lyzygl.2019.04.006

A Prediction on the Potential Suitable Areas of Zelkova Schneideriana in Zhejiang Province Using Maximum Entropy Model

  • Jiejie SUN ,
  • Bo JIANG ,
  • Haojie QIU ,
  • Jiahuan GUO ,
  • Weigao Yuan ,
  • Danting WU ,
  • Xuan XU ,
  • Chuping WU ,
  • Jiejie JIAO ,
  • Aihua SHEN
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  • 1. Nanjing Forestry University,Nanjing Jiangsu 210037
    2. Zhejiang Academy of Forestry,Hangzhou Zhejiang 310023
    3. Zhejiang Agriculture and Forestry University,Hangzhou Zhejiang 311300

Received date: 2019-06-17

  Revised date: 2019-07-02

  Online published: 2020-10-20

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Abstract

Studying the potential suitable habitats of endangered species Zelkova schneideriana and their response to environmental factors will be helpful to the work of site conservation and population expansion of Z.schneideriana.Based on a comprehensive survey data of 21 Z.schneideriana samples taken from Zhejiang ecological monitoring sample plots database,using ArcGIS and MaxEnt model adopted to predict its potential distribution area in Zhejiang.Then screen the dominant environmental factors and their optimal range.The mean AUC value of 17 simulations is 0.891,which indicated the model simulation has high precision.The result showed that the highly suitable growth area of Z.schneideriana in Zhejiang is mainly in the Wuyi—Suichang area in the west of Zhejiang,and Pujiang—Qiandaohu River basin,Ningbo—Zhoushan island,coastal area in Wenzhou and the surrounding area,the area is 6 thousand km 2.The MaxEnt show that precipitation seasonality(coefficient of variation),slope,mean air temperature of the wettest quarter and mean air temperature of the driest quarter are the main environmental factors that affect the distribution of Z.schneideriana.The most suitable range of them are 30~42 in precipitation seasonality(coefficient of variation),3~20° in slope,14~21℃ in mean air temperature of the wettest quarter,0~7℃ in mean air temperature of the driest quarter.

Key words： Zelkova schneideriana; MaxEnt; ecological suitability; distribution

Cite this article

Jiejie SUN , Bo JIANG , Haojie QIU , Jiahuan GUO , Weigao Yuan , Danting WU , Xuan XU , Chuping WU , Jiejie JIAO , Aihua SHEN . A Prediction on the Potential Suitable Areas of Zelkova Schneideriana in Zhejiang Province Using Maximum Entropy Model[J]. Forest and Grassland Resources Research, 2019 , 0(4) : 37 -45 . DOI: 10.13466/j.cnki.lyzygl.2019.04.006

References

[1] 江波 . 浙江省生态公益林群落结构特征及其调控研究[D]. 北京:北京林业大学, 2005.
[2] Wu Chuping, Vellend Meigao, Yuan W , et al. Patterns and determinants of plant biodiversity in non-commercial forests of eastern China[J]. PLoS ONE, 2017,12(11):e0188409.
[3] 于治军, 李硕, 周艳涛 , 等. 不同增温模式下我国松材线虫适生分布模拟与预测[J]. 东北林业大学学报, 2018,46(1):85-91.
[4] 周红敏, 何必庭, 彭辉 , 等. 萌生杉木林空间结构特征研究[J]. 林业科学研究, 2015,28(5):686-690.
[5] 邢海涛 . 马尾松针阔混交人工林种间关系和作业法研究[D]. 北京:中国林业科学研究院, 2017.
[6] CVH. About the Chinese Virtual Herbarium[DB/OL].( 2009- 07- 12)[2018-11-15]. http://www.cvh.org.cn/en.
[7] IUCN.The IUCN Red List of Threatened Species[DB/OL].[ 2018- 11- 15]. http://www.iucnredlist.org.
[8] Zhang Mingli, Wang Lu, Lei Yun , et al. Cenozoic evolutionary history of Zelkova(Ulmaceae),evidenced from ITS,trnL-trnF,psbA-trnH,and rbcL[J]. Tree Genetics & Genomes, 2017,13(5):101.
[9] Carra A, Catalano C, Badalamenti O , et al. Overcoming sexual sterility in conservation of endangered species:the prominent role of biotechnology in the multiplication of Zelkova sicula(Ulmaceae),a relict tree at the brink of extinction[J]. Plant Cell,Tissue and Organ Culture(PCTOC), 2019: 1-10.
[10] Fukatsu E, Watanabe A, Nakada R , et al. Phylogeographical structure inZelkovaserratain Japan and phylogeny in the genus Zelkova using the polymorphisms of chloroplast DNA[J]. Conservation Genetics, 2012,13(4):1109-1118.
[11] 曹娴, 罗玉兰, 崔心红 , 等. 榉树遗传变异分析及优良单株选择[J]. 上海交通大学学报:农业科学版, 2010,28(6):499-503.
[12] 丁彦芬, 高俊飞, 张利 . 配方施肥对榉树幼苗生长的影响[J]. 南京林业大学学报:自然科学版, 2014(Z1):35-38.
[13] 张亚平, 曾艳, 刘晓玲 , 等. 叶面喷施水杨酸对3种色系榉树秋季叶片呈色的影响[J]. 植物生理学报, 2018,54(1):127-132.
[14] Banos-González, Isabel, Terrer C Martínez-Fernández, J , et al. Dynamic modelling of the potential habitat loss of endangered species:the case of the Canarian houbara bustard(Chlamydotis undulata fuerteventurae)[J]. European Journal of Wildlife Research, 2016,62(3):263-275.
[15] Hubert L, Magdalena S, Piotr P J , et al. The Influence of Location,Tree Age and Forest Habitat Type on Basic Fuel Properties of the Wood of the Silver Birch(Betula pendula Roth.) in Poland[J]. BioEnergy Research, 2018(11):638-651.
[16] Takahashi K, Murayama Y . Effects of topographic and edaphic conditions on alpine plant species distribution along a slope gradient on Mount Norikura,central Japan[J]. Ecological Research, 2014,29(5):823-833.
[17] 方元平, 刘胜祥, 项俊 , 等. 湖北省榉树自然种群分布研究[J]. 长江流域资源与环境, 2007(6):744-747.
[18] 祝梓杰, 王桂瑶, 乔飞 , 等. 基于MaxEnt模型的两种捕食性盲蝽潜在分布区及其适生性分析[J]. 昆虫学报, 2017,60(3):335-346.
[19] De Cauwer V, Muys B, Revermann R , et al. Potential,realised,future distribution and environmental suitability for Pterocarpus angolensis DC in southern Africa[J]. Forest Ecology and Management, 2014,315:211-226.
[20] Phillips S J, Miroslav Dudík . Modeling of species distributions with Maxent:new extensions and a comprehensive evaluation[J]. Ecography, 2008,31(2):161-175.
[21] 袁位高 . 浙江省生态公益林主要群落结构的比较研究[D]. 北京:中国林业科学研究院, 2009.
[22] Abrha H, Birhane E, Hagos H, Manaye A . Predicting suitable habitats of endangered Juniperus procera tree under climate change in Northern Ethiopia[J]. Journal of Sustainable Forestry, 2018,37(8):842-853.
[23] 刘超, 霍宏亮, 田路明 , 等. 基于MaxEnt模型不同气候变化情景下的豆梨潜在地理分布[J]. 应用生态学报, 2018,29(11):3696-3704.
[24] Bipin A, Chunxiang C, Min X , et al. Present and Future of Dengue Fever in Nepal:Mapping Climatic Suitability by Ecological Niche Model[J]. International Journal of Environmental Research and Public Health, 2018,15(2):1870.
[25] 张晓芹 . 西北旱区典型生态经济树种地理分布与气候适宜性研究[D]. 北京:中国科学院大学, 2018.
[26] 麻亚鸿 . 基于最大熵模型(MaxEnt)和地理信息系统(ArcGis)预测藓类植物的地理分布范围[D]. 上海:上海师范大学, 2013.
[27] 邓秀秀, 王忠诚, 李程 , 等. 浙江天童常绿阔叶林凋落物量季节动态及其与气象因子的关系[J]. 中南林业科技大学学报, 2017,37(3):73-78.
[28] 芦伟, 余建平, 任海保 , 等. 古田山中亚热带常绿阔叶林群落物种多样性的空间变异特征[J]. 生物多样性, 2018,26(9):1023-1028.
[29] 李玥, 张金池, 李奕建 , 等. 上海市沿海防护林下土壤养分、微生物及酶的典型相关关系[J]. 生态环境学报, 2010,19(2):360-366.
[30] 何淑勤, 宫渊波, 武万华 , 等. 不同坡度下玉米生长期紫色土坡面径流及其可溶性有机碳流失特征[J]. 水土保持学报, 2019(1):16.
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