首页分享 Analysis of potential habitat of Torreya yunnanensis based on MaxEnt and ArcGIS

Analysis of potential habitat of Torreya yunnanensis based on MaxEnt and ArcGIS

来源：花匠小妙招时间：2025-02-08 21:47

[1]

Chen S P, Wang W T, Xu W T, Wang Y, Wan H W, Chen D W, Tang Z Y, Tang X L, Zhou G Y, Xie Z Q, Zhou D W, Shangguan Z P, Huang J H, He J S, Wang Y F, Sheng J D, Tang L S, Li X R, Dong M, Wu Y, Wang Q F, Wang Z H, Wu J G, Chapin F S, Bai Y F. Plant diversity enhances productivity and soil carbon storage. Proceedings of the National Academy of Sciences of the United States of America, 2018, 115(16): 4027-4032. DOI:10.1073/pnas.1700298114

[2]

Quijas S, Schmid B, Balvanera P. Plant diversity enhances provision of ecosystem services: a new synthesis. Basic and Applied Ecology, 2010, 11(7): 582-593. DOI:10.1016/j.baae.2010.06.009

[3]

Myers N, Mittermeier R A, Mittermeier C G, Da Fonseca G A B, Kent J. Biodiversity hotspots for conservation priorities. Nature, 2000, 403(6772): 853-858. DOI:10.1038/35002501

[4]

覃海宁, 赵莉娜, 于胜祥, 刘慧圆, 刘博, 夏念和, 彭华, 李振宇, 张志翔, 何兴金, 尹林克, 林余霖, 刘全儒, 侯元同, 刘演, 刘启新, 曹伟, 李建强, 陈世龙, 金效华, 高天刚, 陈文俐, 马海英, 耿玉英, 金孝锋, 常朝阳, 蒋宏, 蔡蕾, 臧春鑫, 武建勇, 叶建飞, 赖阳均, 刘冰, 林秦文, 薛纳新. 中国被子植物濒危等级的评估. 生物多样性, 2017, 25(7): 745-757.

[5]

Huang H W. Plant diversity and conservation in China: planning a strategic bioresource for a sustainable future. Botanical Journal of the Linnean Society, 2011, 166(3): 282-300. DOI:10.1111/j.1095-8339.2011.01157.x

[6]

Mittermeier R A, Turner W R, Larsen F W, Brooks T M, Gascon C. Global biodiversity conservation: the critical role of hotspots//Zachos F E, Habel J C, eds. Biodiversity Hotspots: Distribution and Protection of Conservation Priority Areas. Berlin, Heidelberg: Springer, 2011.

[7]

Brooks T M, Mittermeier R A, Da Fonseca G A B, Gerlach J, Hoffmann M, Lamoreux J F, Mittermeier C G, Pilgrim J D, Rodrigues A S L. Global biodiversity conservation priorities. Science, 2006, 313(5783): 58-61. DOI:10.1126/science.1127609

[8] [9]

Liu C X, Chen L S, Tang W, Peng S F, Li M Q, Deng N, Chen Y Z. Predicting potential distribution and evaluating suitable soil condition of oil tea camellia in China. Forests, 2018, 9(8): 487. DOI:10.3390/f9080487

[10]

Liu C R, White M, Newell G, Griffioen P. Species distribution modelling for conservation planning in Victoria, Australia. Ecological Modelling, 2013, 249: 68-74. DOI:10.1016/j.ecolmodel.2012.07.003

[11]

Fajardo J, Lessmann J, Bonaccorso E, Devenish C, Muñoz J. Combined use of systematic conservation planning, species distribution modelling, and connectivity analysis reveals severe conservation gaps in a megadiverse country (Peru). PLoS One, 2014, 9(12): e114367. DOI:10.1371/journal.pone.0114367

[12]

Descombes P, Petitpierre B, Morard E, Berthoud M, Guisan A, Vittoz P. Monitoring and distribution modelling of invasive species along riverine habitats at very high resolution. Biological Invasions, 2016, 18(12): 3665-3679. DOI:10.1007/s10530-016-1257-4

[13]

Hunt E R Jr, Gillham J H, Daughtry C S T. Improving potential geographic distribution models for invasive plants by remote sensing. Rangeland Ecology & Management, 2010, 63(5): 505-513.

[14]

Srivastava V, Lafond V, Griess V C. Species distribution models (SDM): applications, benefits and challenges in invasive species management. CAB Reviews, 2019, 14(20): 1-13.

[15]

Beaumont L J, Hughes L, Pitman A J. Why is the choice of future climate scenarios for species distribution modelling important?. Ecology Letters, 2008, 11(11): 1135-1146. DOI:10.1111/j.1461-0248.2008.01231.x

[16]

Forester B R, DeChaine E G, Bunn A G. Integrating ensemble species distribution modelling and statistical phylogeography to inform projections of climate change impacts on species distributions. Diversity and Distributions, 2013, 19(12): 1480-1495. DOI:10.1111/ddi.12098

[17] [18] [19]

Wisz M S, Hijmans R J, Li J, Peterson A T, Graham C H, Guisan A, NCEAS Predicting Species Distributions Working Group. Effects of sample size on the performance of species distribution models. Diversity and Distributions, 2008, 14(5): 763-773. DOI:10.1111/j.1472-4642.2008.00482.x

[20]

Chen X M, Lei Y C. Effects of sample size on accuracy and stability of species distribution models: a comparison of GARP and Maxent//Qian Z H, Cao L, Su W L, Wang T K, Yang H M, eds. Recent Advances in Computer Science and Information Engineering. Berlin, Heidelberg: Springer, 2012: 601-609.

[21]

Elith J, Graham C H, Anderson R P, Dudík M, Ferrier S, Guisan A, Hijmans R J, Huettmann F, Leathwick J R, Lehmann A, Li J, Lohmann L G, Loiselle B A, Manion G, Moritz C, Nakamura M, Nakazawa Y, Overton J M M, Peterson A T, Phillips S J, Richardson K, Scachetti-Pereira R, Schapire R E, Soberón J, Williams S, Wisz M S, Zimmermann N E. Novel methods improve prediction of species' distributions from occurrence data. Ecography, 2006, 29(2): 129-151. DOI:10.1111/j.2006.0906-7590.04596.x

[22]

Fois M, Fenu G, Cuena Lombraña A, Cogoni D, Bacchetta G. A practical method to speed up the discovery of unknown populations using Species Distribution Models. Journal for Nature Conservation, 2015, 24: 42-48. DOI:10.1016/j.jnc.2015.02.001

[23]

Phillips S J, Anderson R P, Schapire R E. Maximum entropy modeling of species geographic distributions. Ecological Modelling, 2006, 190(3/4): 231-259.

[24]

Elith J, Phillips S J, Hastie T, Dudík M, Chee Y E, Yates C J. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 2011, 17(1): 43-57. DOI:10.1111/j.1472-4642.2010.00725.x

[25] [26] [27] [28] [29]

郑万钧, 傅立国. 中国植物志(第七卷) 裸子植物门. 北京: 科学出版社, 1978.

[30]

胥辉, 许彦红, 覃家理. 滇西北典型森林生态系统及珍稀濒危植物保育研究. 昆明: 云南科技出版社, 2014.

[31] [32] [33] [34] [35] [36] [37]

熊俊楠, 彭超, 程维明, 李伟, 刘志奇, 范春捆, 孙怀张. 基于MODIS-NDVI的云南省植被覆盖度变化分析. 地球信息科学学报, 2018, 20(12): 1830-1840. DOI:10.12082/dqxxkx.2018.180371

[38]

Yang Y M, Tian K, Hao J M, Pei S J, Yang Y X. Biodiversity and biodiversity conservation in Yunnan, China. Biodiversity & Conservation, 2004, 13(4): 813-826.

[39]

López-Pujol J, Zhang F M, Sun H Q, Ying T S, Ge S. Centres of plant endemism in China: places for survival or for speciation?. Journal of Biogeography, 2011, 38(7): 1267-1280. DOI:10.1111/j.1365-2699.2011.02504.x

[40] [41] [42] [43] [44]

Yang X Q, Kushwaha S P S, Saran S, Xu J C, Roy P S. Maxent modeling for predicting the potential distribution of medicinal plant, Justicia adhatoda L. in Lesser Himalayan foothills. Ecological Engineering, 2013, 51: 83-87. DOI:10.1016/j.ecoleng.2012.12.004

[45]

Moreno R, Zamora R, Molina J R, Vasquez A, Herrera M á. Predictive modeling of microhabitats for endemic birds in South Chilean temperate forests using Maximum entropy (Maxent). Ecological Informatics, 2011, 6(6): 364-370. DOI:10.1016/j.ecoinf.2011.07.003

[46]

Mantyka-Pringle C S, Visconti P, Di Marco M, Martin T G, Rondinini C, Rhodes J R. Climate change modifies risk of global biodiversity loss due to land-cover change. Biological Conservation, 2015, 187: 103-111. DOI:10.1016/j.biocon.2015.04.016

[47]

Hoegh-Guldberg O, Jacob D, Bindi M, Brown S, Camilloni I, Diedhiou A, Djalante R, Ebi K L, Engelbrecht F, Guiot J, Hijioka Y, Mehrotra S, Payne A, Seneviratne S I, Thomas A, Warren R, Zhou G S. Impacts of 1.5℃ global warming on natural and human systems//Masson-Delmotte V, Zhai P, Pértner H O, Roberts D, Skea J, Shukla P R, Pirani A, Moufouma-Okia W, Péan C, Pidcock R, Connors S, Matthews J B R, Chen Y, Zhou X, Gomis M I, Lonnoy E, Maycock T, Tignor M, Waterfield T, eds. Global Warming of 1.5℃. An IPCC Special Report. Geneva, Switzerland: IPCC Secretariat, 2018.

[48]

Thomas C D, Cameron A, Green R E, Bakkenes M, Beaumont L J, Collingham Y C, Erasmus B F N, De Siqueira M F, Grainger A, Hannah L, Hughes L, Huntley B, Van Jaarsveld A S, Midgley G F, Miles L, Ortega-Huerta M A, Townsend Peterson A, Phillips O L, Williams S E. Extinction risk from climate change. Nature, 2004, 427(6970): 145-148. DOI:10.1038/nature02121

[49]

IP CC. Climate Change 2007: Synthesis Report. Contribution of Working Groups Ⅰ, Ⅱ and Ⅲ to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Geneva: IPCC, 2007, 104-104.

[50]

Swets J A. Measuring the accuracy of diagnostic systems. Science, 1988, 240(4857): 1285-1293. DOI:10.1126/science.3287615

[51] [52]

王文礼. 滇西北"三江并流"区高山树线的分布格局及其形成机制[D]. 昆明: 云南大学, 2014.

[53] [54] [55] [56] [57]

Ding W N, Ree R H, Spicer R A, Xing Y W. Ancient orogenic and monsoon-driven assembly of the world's richest temperate alpine flora. Science, 2020, 369(6503): 578-581. DOI:10.1126/science.abb4484

[58] [59] [60] [61] [62] [63] [64] [65] [66] [67]

司倩倩. 粗榧种子休眠特性及萌发生理研究[D]. 泰安: 山东农业大学, 2017.

[68]

李金霞. 榧树种子层积过程中种胚发育及生化物质变化规律[D]. 杭州: 浙江农林大学, 2015.

[69] [70] [71] [72]

刘硕然, 杨道德, 李先福, 谭路, 孙军, 和晓阳, 杨文书, 任国鹏, Fornacca D, 蔡庆华, 肖文. 滇西北高山微水体与溪流生境底栖动物多样性和环境特征. 生物多样性, 2019, 27(12): 1298-1308.

[73] [74] [75]