JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2021, Vol. 45 ›› Issue (3): 193-198.doi: 10.12302/j.issn.1000-2006.202008029
Previous Articles Next Articles
MIAO Jing1(), WANG Yong2, WANG Lu1, XU Xiaogang1
Received:
2020-08-19
Revised:
2021-02-22
Online:
2021-05-30
Published:
2021-05-31
CLC Number:
MIAO Jing, WANG Yong, WANG Lu, XU Xiaogang. Prediction of potential geographical distribution pattern change for Castanopsis sclerophylla on MaxEnt[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2021, 45(3): 193-198.
Table 1
Climate variables and their contribution values"
编号 No. | 环境变量 environmental variable | 贡献率/% contribution rate | 置换重要值/% replace important value |
---|---|---|---|
bio1 | 年均气温 mean annual air temperature | 3.8 | 1.0 |
bio2 | 昼夜温差 mean diurnal range[mean of monthly (max-min temperature)] | 10.6 | 1.8 |
bio3 | 等温性 isothermality | 0.2 | 1.1 |
bio4 | 温度季节变化方差 SD of temperature seasonality | 6.2 | 21.9 |
bio5 | 极端最高气温 extreme maximum air temperature | 0.1 | 0.2 |
bio8 | 最湿季度平均气温 mean air temperature of the wettest quarter | 0.3 | 3.1 |
bio9 | 最干季平均气温 mean air temperature of the driest quarter | 2.4 | 12.2 |
bio12 | 年均降水量 annual precipitation | 0.3 | 2.4 |
bio15 | 降水变异系数 coefficient of variation of precipitation seasonality | 1.3 | 2.8 |
bio17 | 最干季降水量 precipitation of the driest quarter | 74.8 | 53.4 |
[1] |
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.
doi: 10.1016/j.ecolmodel.2005.03.026 |
[2] |
PHILLIPS S J, DUDÍK M. Modeling of species distributions with MaxEnt:new extensions and a comprehensive evaluation[J]. Ecography, 2008,31(2):161-175.DOI: 10.1111/j.0906-7590.2008.5203.x.
doi: 10.1111/j.0906-7590.2008.5203.x |
[3] |
ELITH J, KEARNEY M, PHILLIPS S. The art of modelling range-shifting species[J]. Methods Ecol Evol, 2010,1(4):330-342.DOI: 10.1111/j.2041-210X.2010.00036.x.
doi: 10.1111/j.2041-210X.2010.00036.x |
[4] |
RADOSAVLJEVIC A, ANDERSON R P. Making better MaxEnt models of species distributions:complexity,overfitting and evaluation[J]. J Biogeogr, 2014,41(4):629-643.DOI: 10.1111/jbi.12227.
doi: 10.1111/jbi.12227 |
[5] | 童丽丽, 许晓岗, 关庆伟, 等. 南京牛首山森林公园苦槠群落的结构分析[J]. 东北林业大学学报, 2007,35(3):23-26. |
TONG L L, XU X G, GUAN Q W, et al. Community structure analysis of Castanopsis sclerophylla forest in mount Niushou forest park of Nanjing City[J]. J Northeast For Univ, 2007,35(3):23-26. | |
[6] | 李垚, 张兴旺, 方炎明. 气候变暖对中国栓皮栋地理分布格局影响的预测[J]. 应用生态学报, 2014,25(12):3381-3389. |
LI Y, ZHANG X W, FANG Y M. Predicting the impact of global warming on the geographical distribution pattern of Quercus varia-bilis in China[J]. Chinese Journal of Applied Ecology, 2014,25(12):3381-3389. DOI: 10.13287/j.1001-9332.20140925.005. | |
[7] | 申家朋, 陈东升, 洪奕丰, 等. 基于MaxEnt模型对日本落叶松在中国潜在分布区的预测[J]. 植物资源与环境学报, 2019,28(3):19-25. |
SHEN J P, CHEN D S, HONG Y F, et al. Prediction on potential distribution areas of Larix kaempferi in China based on MaxEnt model[J]. J Plant Resour and Environ, 2019,28(3):19-25.DOI: 10.3969/j.issn.1674-7895.2019.03.03. | |
[8] |
RENNER I W, WARTON D I. Equivalence of MaxEnt and poisson point process models for species distribution modeling in ecology[J]. Biometrics, 2013,69(1):274-281.DOI: 10.1111/j.1541-0420.2012.01824.x.
doi: 10.1111/j.1541-0420.2012.01824.x |
[9] | 吴显坤, 南程慧, 汤庚国, 等. 气候变化对浙江楠潜在分布范围及空间格局的影响[J]. 南京林业大学学报(自然科学版), 2016,40(6):85-91. |
WU X K, NAN C H, TANG G G, et al. Impact of climate change on potential distribution range and spatial pattern of Phoebe chekiangensis[J]. J Nanjing For Univ (Nat Sci Ed), 2016,40(6):85-91.DOI: 10.3969/j.issn.1000-2006.2016.06.013. | |
[10] | 王运生, 谢丙炎, 万方浩, 等. ROC曲线分析在评价入侵物种分布模型中的应用[J]. 生物多样性, 2007,15(4):365-372. |
WANG Y S, XIE B Y, WAN F H, et al. Application of ROC curve analysis in evaluating the performance of alien species’ potential distribution models[J]. Biodivers Sci, 2007,15(4):365-372.DOI: 10.3321/j.issn:1005-0094.2007.04.005. | |
[11] | FAND B B, KUMAR M, KAMBLE A L. Predicting the potential geographic distribution of cotton mealybug Phenacoccus solenopsis in India based on MaxEnt ecological niche model[J]. J Environ Biol, 2014,35(5):973-982. |
[12] | 马青江, 孙操稳, 张乐英, 等. 东亚四照花群体中国潜在适生区预测研究[J]. 南京林业大学学报(自然科学版), 2019,43(5):135-140. |
MA Q J, SUN C W, ZHANG L Y, et al. Identification of potential distribution region for east Asian dogwoods (Cornus) in China[J]. J Nanjing For Univ (Nat Sci Ed), 2019,43(5):135-140.DOI: 10.3969/j.issn.1000-2006.201901046
doi: 10.3969/j.issn.1000-2006.201901046 |
|
[13] |
EVANGELISTA P H, KUMAR S, STOHLGREN T J, et al. Modelling invasion for a habitat generalist and a specialist plant species[J]. Divers Distributions, 2008,14(5):808-817.DOI: 10.1111/j.1472-4642.2008.00486.x.
doi: 10.1111/ddi.2008.14.issue-5 |
[14] |
SHCHEGLOVITOVA M, ANDERSON R P. Estimating optimal complexity for ecological niche models:a Jackknife approach for species with small sample sizes[J]. Ecol Model, 2013,269:9-17.DOI: 10.1016/j.ecolmodel.2013.08.011.
doi: 10.1016/j.ecolmodel.2013.08.011 |
[15] | 浦庆余. 末次冰期以来中国自然环境变迁及其与全球变化的关系[J]. 第四纪研究, 1991,11(3):245-259. |
PU Q Y. Evolution of natural environment in China since the last glacial period and its position in the global change[J]. Quat Sci, 1991,11(3):245-259. | |
[16] | 刘金陵, 王伟铭. 关于华南地区末次冰盛期植被类型的讨论[J]. 第四纪研究, 2004,24(2):213-216. |
LIU J L, WANG W M. A discussion on the vegetation types during lgm time in south China[J]. Quat Sci, 2004,24(2):213-216.DOI: 10.3321/j.issn:1001-7410.2004.02.012. | |
[17] | 解应波, 董洪进, 李新辉, 等. 云南轿子雪山种子植物多样性分布格局[J]. 森林工程, 2020,36(6):1-8. |
XIE Y B, DONG H J, LI X H, et al. Distribution pattern of seed plants diversity of Jiaozi Snow Mountain, Yunnan[J]. Forest Engineering, 2020,36(6):1-8. | |
[18] | 郑维艳, 曹坤芳. 中国柯属5种资源植物潜在地理分布及其对气候变化的响应[J]. 植物科学学报, 2019,37(4):474-484. |
ZHENG W Y, CAO K F. Potential geographical distribution of five Lithocarpus species in China and their response to climate change[J]. Plant Sci J, 2019,37(4):474-484.DOI: 10.11913/PSJ.2095-0837.2019.40474. | |
[19] | 石苗苗. 中国苦槠边缘区和核心区种群遗传结构的比较[D]. 上海:华东师范大学, 2008. |
SHI M M. A comparative study of genetic structure between the central and peripheral populations of Castanopsis sclerophylla[D]. Shanghai:East China Normal University, 2008. | |
[20] | 钱云, 钱永甫, 张耀存. 末次冰期东亚区域气候变化的情景和机制研究[J]. 大气科学, 1998,22(3):28-38. |
QIAN Y, QIAN Y F, ZHANG Y C. Study on scenarios and mechanism of the regional climate change of east Asia in the last ice-age[J]. Sci Atmos Sin, 1998,22(3):28-38. | |
[21] | 刘滨, 王嵘, 刘映良, 等. 不同干扰强度生境中啮齿动物对苦槠种子的取食和扩散[J]. 生态学杂志, 2011,30(8),30:1668-1673. |
LIU B, WANG R, LIU Y L, et al. Seed dispersal and predation of Castanopsis sclerophylla by small rodents in habitats with different disturbance intensity[J]. Chin J Ecol, 2011,30(8),30:1668-1673.DOI: 10.13292/j.1000-4890.2011.0249. | |
[22] | 李新周, 刘晓东. 未来全球气候变暖情景下华东地区极端降水变化的数值模拟研究[J]. 热带气象学报, 2012,28(3):379-391. |
LI X Z, LIU X D. Numerical simulations of extreme precipitation in eastern China under A1B scenario[J]. J Trop Meteorol, 2012,28(3):379-391.DOI: 10.3969/j.issn.1004-4965.2012.03.010. | |
[23] | 金安琪, 张昂, 赵昕奕. 气候变化情景下中国东部地区未来气候舒适度变化预测[J]. 北京大学学报(自然科学版), 2019,55(5):887-898. |
JIN A Q, ZHANG A, ZHAO X Y. Estimation of climate comfort in eastern China in the context of climate change[J]. Acta Sci Nat Univ Pekin, 2019,55(5):887-898.DOI: 10.13209/j.0479-8023.2019.057. | |
[24] | 刘茂松, 洪必恭. 中国壳斗科的地理分布及其与气候条件的关系[J]. 植物生态学报, 1998,22(1):41-50. |
LIU M S, HONG B G. The distribution of Fagaceae in China and its relationship with climatic and geographic characters[J]. Acta Phytoecol Sin, 1998,22(1):41-50. | |
[25] | 章小金, 邓文清. 苦槠高效栽培技术[J]. 现代农业科技, 2009(5):33. |
[26] | 陈禹衡, 吕一维, 殷晓洁. 气候变化下西南地区12种常见针叶树种适宜分布区预测[J]. 南京林业大学学报(自然科学版), 2019,43(6):113-120. |
CHEN Y H, LÜ Y W, YIN X J. Predicting habitat suitability of 12 coniferous forest tree species in southwest China based on climate change[J]. J Nanjing For Univ (Nat Sci Ed), 2019,43(6):113-120.DOI: 10.3969/j.issn.1000-2006.201808045. |
[1] | HE Xu, MIAO Zimei, TIAN Jiaxi, YANG Liu, ZHANG Zengxin, ZHU Bin. Temperature, precipitation and runoff prediction in the Yangtze River basin based on CMIP 6 multi-model [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(2): 1-8. |
[2] | GAO Minglong, TIE Niu, ZHANG Chen, LI Fengzi, WU Yahan, LUO Qihui, WANG Zirui, LIU Lei, SA Rula. Modelling the potential distribution area of Populus davidiana in China based on the Biomod2 [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(2): 247-255. |
[3] | LUO Chuying, SHE Jiyun, TANG Zichao. Prediction of potential distribution areas of the endangered Cathaya argyrophylla based on shared socio-economic pathways (SSPs) climate scenarios [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2024, 48(1): 161-168. |
[4] | YANG Hong, DONG Jingjing, WU Tong, ZHOU Huajin, CHEN Jie, LI Meng, WANG Xianrong, YI Xiangui. Prediction of potential suitable areas of Cerasus discoidea in China based on the MaxEnt model [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(4): 131-138. |
[5] | SHI Song, LI Wen, ZHAI Yucen, LIN Xiaopeng, DING Yishu. Spatiotemporal changes of vegetation NDVI and those reasons in northeast China Tiger and Leopard National Park [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(4): 31-41. |
[6] | GAI Junpeng, CHEN Dongsheng, JIA Weiwei, WANG Zheng. Developing height growth model of Larix kaempferi based on genetic and climate effects [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(4): 51-60. |
[7] | HAN Shumin, YAN Wei, YANG Xuedong, HU Bo, YU Fengqiang, GAO Runhong. Potential distribution patterns and future changes of Ulmus pumila in China based on the MaxEnt model [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(3): 103-110. |
[8] | HE Xiao, LEI Xiangdong, DUAN Guangshuang, FENG Qingrong, ZHANG Yiru, FENG Linyan. Modelling the effects of climate change on stand biomass growth of larch plantations [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2023, 47(3): 120-128. |
[9] | ZOU Xiaoming, WANG Guobing, GE Zhiwei, XIE Youchao, RUAN Honghua, WU Xiaoqiao, YANG Yan. Mechanisms and methods for augmenting carbon sink in forestry [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(6): 167-176. |
[10] | WU Fan, ZHU Peihuang, JI Kongshu. Responses of masson pine(Pinus massoniana) distribution patterns to future climate change [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(2): 196-204. |
[11] | TU Zhenyu, GOU Xiaohua, ZOU Songbing. Potential distributions of Picea crassifolia on the north slope of Qilian Mountains [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(2): 221-226. |
[12] | ZHANG Fengying, ZHANG Zengxin, TIAN Jiaxi, HUANG Richao, KONG Rui, ZHU Bin, ZHU Min, WANG Yiming, CHEN Xi. Forest NPP simulation in the Yangtze River Basin and its response to climate change [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2021, 45(1): 175-181. |
[13] | ZHANG Heng, ZHANG Qiuliang, YUE Yang, SONG Ximing, DAI Haiyan, YI Bole. The impact of climate change on forest and grassland fires and future trends in Hulunbuir City, Inner Mongolia [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2020, 44(5): 222-230. |
[14] | HUANG Honglan, ZHONG Wogu, YI Deping, CAI Junhuo, ZHANG Lu. Predicting the impact of future climate change on the distribution patterns of Toona ciliata var. pubescens in China [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2020, 44(3): 163-170. |
[15] | CHANG Juan, ZHANG Zengxin, TIAN Jiaxi, CHEN Xi, CHEN Yizhao. Spatio‑temporal characteristics of grassland water use efficiency and its response to climate change in northwest China [J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2020, 44(3): 119-125. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||