基于MaxEnt模型对我国长角涵螺潜在分布区的预测研究

杨艺涛, 杜玉壮, 李乙冉, 寸得娇, 姚晓燕, 李兰花

doi:10.11853/j.issn.1003.8280.2022.03.018

中国媒介生物学及控制杂志 >

2022 , Vol. 33 >Issue 3: 409 - 413

DOI: https://doi.org/10.11853/j.issn.1003.8280.2022.03.018

预测预警

基于MaxEnt模型对我国长角涵螺潜在分布区的预测研究

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1. 潍坊医学院公共卫生学院, 山东潍坊 261053;
2. 中国疾病预防控制中心寄生虫病预防控制所媒传热带病室, 上海 200025

杨艺涛,女,本科在读,从事传染病媒介生物研究,E-mail:yangyitao0119@163.com

收稿日期: 2021-12-27

网络出版日期: 2022-06-11

基金资助

山东省大学生创新训练项目（S202110438181，S202110438206）；国家自然科学基金（81902095）；山东省自然科学基金（ZR2019MH093）；山东省高等学校青创人才引育计划（2019-6-156）；潍坊市科技发展计划（2021YX038）

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Prediction of potential distribution of Alocinma longicornis in China based on MaxEnt model

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1. School of Public Health, Weifang Medical University, Weifang, Shandong 261053, China;
2. Department of Vector-Borne Tropical Diseases, National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai 200025, China

Received date: 2021-12-27

Online published: 2022-06-11

Supported by

Shandong Innovation and Entrepreneurship Training Program for College Students (No.S202110438181,S202110438206); National Natural Science Foundation of China (No. 81902095); Natural Science Foundation of Shandong Province of China (No.ZR2019MH093); Shandong Province College Youth Talent Introduction Plan (No. 2019-6-156); Weifang Science and Technology Development Plan (No. 2021YX038)

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摘要

目的分析影响我国长角涵螺分布的气候和地理因子，探索长角涵螺在我国的潜在适生区。方法检索公开发表的我国长角涵螺地理分布相关中、英文文献，从中提取地理位置信息，运用最大熵模型（MaxEnt）分析气候和地理因子对长角涵螺潜在分布区的影响，并预测长角涵螺在我国的潜在适生区。结果主要气候和地理因子中，海拔（贡献率48.80%）、最干月降水量（贡献率22.70%）和归一化水体指数（贡献率6.70%），对长角涵螺的分布影响较大。我国长角涵螺高、中、低适生区面积分别为30.64、60.60和101.00万km²。其中，高适生区主要位于浙江、江苏、上海、安徽、湖南、湖北省（直辖市）等地。结论长角涵螺主要分布于我国秦岭淮河以南地区，海拔、最干月降水量和归一化水体指数可能是影响其分布的主要因素。

关键词： 长角涵螺; 最大熵模型; 气候和地理因子; 适生区

本文引用格式

杨艺涛, 杜玉壮, 李乙冉, 寸得娇, 姚晓燕, 李兰花 . 基于MaxEnt模型对我国长角涵螺潜在分布区的预测研究[J]. 中国媒介生物学及控制杂志, 2022 , 33(3) : 409 -413 . DOI: 10.11853/j.issn.1003.8280.2022.03.018

Abstract

Objective To analyze the climate and geographical factors affecting the distribution of Alocinma longicornis in China, and to predict its potential habitat areas in China. Methods English and Chinese articles reporting the geographical distribution of A. longicornis in China were retrieved for extraction of the geographic information. The impact of climate and geographical factors on the distribution of A. longicornis was analyzed and the suitable habitats were predicted using a MaxEnt model. Results Elevation (48.80%), precipitation of driest month (22.70%), and normalized difference water index (6.70%) had great influence on the distribution of A. longicornis in China. The habitats with high, medium, and low suitability were 0.306 4, 0.606 0, and 1.010 0 million km², respectively. Areas with high suitability were mainly located in Zhejiang, Jiangsu, Shanghai, Anhui, Hunan, and Hubei provinces (municipality). Conclusion A. longicornis is mainly distributed in China south of the Qinling-Huaihe Line. Elevation, precipitation of driest month, and normalized difference water index are the main factors affecting its distribution.

Key words： Alocinma longicornis; MaxEnt model; Climate and geographical factors; Suitable habitat

参考文献

[1] 覃冬梅. 豆螺科的形态、分子鉴定及线粒体全基因组研究[D]. 南昌:南昌大学, 2020. DOI:10.27232/d.cnki.gnchu.2020.002914. Qin DM. Morphology, molecular identification and complete mitochondrial genome of Bithyniidae[D]. Nanchang:Nanchang University, 2020. DOI:10.27232/d.cnki.gnchu.2020.002914.(in Chinese)
[2] Sripa B, Suwannatrai AT, Sayasone S, et al. Current status of human liver fluke infections in the Greater Mekong Subregion[J]. Acta Tropica, 2021, 224:106133. DOI:10.1016/J.ACTATROPICA.2021.106133.
[3] 钱门宝, 陈瑾, 周晓农. 中国华支睾吸虫病主要流行区省级寄生虫病防治机构能力调查[J]. 中国血吸虫病防治杂志, 2019, 31(2):192-196. DOI:10.16250/j.32.1374.2018284. Qian MB, Chen J, Zhou XN. Investigation on capacity of provincial parasitic diseases control institutions in main clonorchiasis-endemic areas of China[J]. Chin J Schisto Control, 2019, 31(2):192-196. DOI:10.16250/j.32.1374.2018284.(in Chinese)
[4] 孙月娟, 王武, 刘其根, 等. 江苏阳澄湖螺类群落的空间分布格局[J]. 长江流域资源与环境, 2011, 20(6):711-716. Sun YJ, Wang W, Liu QG, et al. Spatial distribution of snail (gastropod) community in Yangcheng Lake, Jiangsu province, China[J]. Resour Environ Yangtze Basin, 2011, 20(6):711-716. (in Chinese)
[5] 施雯, 朱恩骄, 王宇宸, 等. 基于MaxEnt模型预测戴褐臂金龟在中国的潜在适生区[J]. 生态学杂志, 2021, 40(9):2936-2944. DOI:10.13292/j.1000-4890.202109.024. Shi W, Zhu EJ, Wang YC, et al. Prediction of potentially suitable distribution area of Propomacrus davidi Deyrolle in China based on MaxEnt model[J]. Chin J Ecol, 2021, 40(9):2936-2944. DOI:10.13292/j.1000-4890.202109.024.(in Chinese)
[6] Escobar LE, Lira-Noriega A, Medina-Vogel G, et al. Potential for spread of the white-nose fungus (Pseudogymnoascus destructans) in the Americas:Use of Maxent and NicheA to assure strict model transference[J]. Geospat Health, 2014, 9(1):221-229. DOI:10.4081/gh.2014.19.
[7] 郭晓旭, 王璐, 许晓岗, 等. 基于MaxEnt模型的芬芳安息香潜在适生区预测[J]. 生态科学, 2020, 39(4):119-124. DOI:10.14108/j.cnki.1008-8873.2020.04.016. Guo XX, Wang L, Xu XG, et al. MaxEnt modeling for predicting potential suitable distribution areas of Styrax odoratissimus[J]. Ecol Sci, 2020, 39(4):119-124. DOI:10.14108/j.cnki.1008-8873.2020.04.016.(in Chinese)
[8] 姜志诚. 气候背景下中国野生亚洲象适宜生境的最大熵模型(MaxEnt)预测[D]. 昆明:云南大学, 2019. Jiang ZC. Predictions of suitable habitat for wild Asian elephant in China based on maximum entropy model (MaxEnt) in climatic background[D]. Kunming:Yunnan University, 2019. (in Chinese)
[9] 王雨生, 王召海, 邢汉发, 等. 基于MaxEnt模型的珙桐在中国潜在适生区预测[J]. 生态学杂志, 2019, 38(4):1230-1237. DOI:10.13292/j.1000-4890.201904.024. Wang YS, Wang ZH, Xing HF, et al. Prediction of potential suitable distribution ofDavidia involucrata Baill in China based on MaxEnt[J]. Chin J Ecol, 2019, 38(4):1230-1237. DOI:10.13292/j.1000-4890.201904.024.(in Chinese)
[10] 陈其羽, 梁彦龄, 宋贵保, 等. 武昌东湖软体动物的生态分布及种群密度[J]. 水生生物学集刊, 1975, 5(3):371-379. Chen QY, Liang YL, Song GB, et al. On ecological distributions and population densities of Mollusca in Lake Tung-Hu, Wuchang[J]. Acta Hydrobiol Sin, 1975, 5(3):371-379. (in Chinese)
[11] 张永生, 李海英, 李站, 等. 淠史杭灌区渠道水生植物过度生长影响因素及防治措施[J]. 生态环境学报, 2020, 29(7):1333-1343. DOI:10.16258/j.cnki.1674-5906.2020.07.007. Zhang YS, Li HY, Li Z, et al. Growth affection factors and weeding of aquatic plants in Pishihang irrigated district channels[J]. Ecol Environ Sci, 2020, 29(7):1333-1343. DOI:10.16258/j.cnki.1674-5906.2020.07.007.(in Chinese)
[12] 张红光, 李琳, 赵燕, 等. 青藏高原不同海拔湖水中可培养微生物的季节性变化[J]. 中兽医医药杂志, 2013, 32(3):49-55. DOI:10.13823/j.cnki.jtcvm.2013.03.002. Zhang HG, Li L, Zhao Y, et al. Seasonal changes of culturable microbes in different altitude lakes in Qinghai-Tibet Plateau[J]. J Tradit Chin Vet Med, 2013, 32(3):49-55. DOI:10.13823/j.cnki.jtcvm.2013.03.002.(in Chinese)
[13] 易浪, 董亚坤, 苗白鸽, 等. 云南高黎贡山地区蝴蝶群落多样性[J]. 生物多样性, 2021, 29(7):950-959. DOI:10.17520/biods.2020486. Yi L, Dong YK, Miao BG, et al. Diversity of butterfly communities in Gaoligong region of Yunnan[J]. Biodiv Sci, 2021, 29(7):950-959. DOI:10.17520/biods.2020486.(in Chinese)
[14] 王国庆, 张建云, 管晓祥, 等. 中国主要江河径流变化成因定量分析[J]. 水科学进展, 2020, 31(3):313-323. DOI:10.14042/j.cnki.32.1309.2020.03.001. Wang GQ, Zhang JY, Guan XX, et al. Quantifying attribution of runoff change for major rivers in China[J]. Adv Water Sci, 2020, 31(3):313-323. DOI:10.14042/j.cnki.32.1309.2020.03.001.(in Chinese)
[15] 陆昊, 杨柳燕, 杨明月, 等. 太湖流域上游降水量影响河道入湖总氮和总磷通量研究[J/OL]. 水资源保护, (2021-08-26)[2021-12-15]. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=SZYB20210825000&uniplatform=NZKPT&v=PeAi9aFB2ddqOOxBTwLieJBUuHKo4y7qZAk7k173Zqbcqpr4uEapFBoC_XIjCDl9. (in Chinese) Lu H, Yang LY, Yang MY, et al. The Influence of rainfall in the upper reaches of Lake Taihu basin on the inflow fluxes of total nitrogen and total phosphorus into Lake Taihu[J/OL]. Water Resour Prot, (2021-08-26)[2021-12-15]. https://kns.cnki.net/kcms/detail/detail.aspx?dbcode=CAPJ&dbname=CAPJLAST&filename=SZYB20210825000&uniplatform=NZKPT&v=PeAi9aFB2ddqOOxBTwLieJBUuHKo4y7qZAk7k173Zqbcqpr4uEapFBoC_XIjCDl9.(in Chinese)
[16] 莫申国.基于DEM的秦岭数字地貌格局研究[J].华东师范大学学报(自然科学版), 2008, 2008(2):8-14. DOI:10.3969/j.issn.1000-5641.2008.02.002. Mo SG. Study on digital landform patterns based on DEM in Qingling Mts[J].J East Chin nor Univer(Nat Sci Ed), 2008, 2008(2):8-14. DOI:10.3969/j.issn.1000-5641.2008.02.002. (in Chinese)
[17] 卢其垡, 葛荣存, 高亦远. 基于ASTER GDEM的江苏省地貌类型分类[J]. 现代测绘, 2020, 43(2):54-57. DOI:10.3969/j.issn.1672-4097.2020.02.015. Lu QF, Ge RC, Gao YY, et al. Classification of geomorphologic types in Jiangsu province based on ASTER GDEM[J]. Mod Surv Mapp, 2020, 43(2):54-57. DOI:10.3969/j.issn.1672-4097. 2020.02.015.(in Chinese)
[18] 郑加柱, 王亮. 江苏地区大气可降水量的时空分布[J]. 东南大学学报(自然科学版), 2013, 43增刊2:260-264. DOI:10.3969/j.issn.1001-0505.2013.S2.009. Zheng JZ, Wang L. Temporal and spatial distribution of precipitable water vapor in Jiangsu[J]. J Southeast Univ (Nat Sci Ed), 2013, 43 Suppl 2:260-264. DOI:10.3969/j.issn.1001-0505.2013.S2.009.(in Chinese)
[19] 王小丹, 程根伟, 赵涛, 等. 西藏生态安全屏障保护与建设成效评估[J]. 中国科学院院刊, 2017, 32(1):29-34. DOI:10. 16418/j.issn.1000-3045.2017.01.004. Wang XD, Cheng GW, Zhao T, et al. Assessment on protection and construction of ecological safety shelter for Tibet[J]. Bull Chin Acad Sci, 2017, 32(1):29-34. DOI:10.16418/j.issn.1000-3045.2017.01.004.(in Chinese)
[20] 李双双, 张玉凤, 汪成博, 等. 气候变化和生态建设对秦岭-淮河南北植被动态的影响[J]. 地理科学进展, 2021, 40(6):1026-1036. DOI:10.18306/dlkxjz.2021.06.012. Li SS, Zhang YF, Wang CB, et al. Coupling effects of climate change and ecological restoration on vegetation dynamics in the Qinling-Huaihe region[J]. Progr Geogr, 2021, 40(6):1026-1036. DOI:10.18306/dlkxjz.2021.06.012.(in Chinese)
[21] 李昂臻, 陈思旭, 李海燕, 等. 北方某省会城市主要水库富营养化程度、特征和防治对策[J]. 环境化学, 2020, 39(9):2529-2539. DOI:10.7524/j.issn.0254-6108.2020040902. Li AZ, Chen SX, Li HY, et al. Characteristics and evaluation of eutrophication in major reservoirs of a northern city in China[J]. Environ Chem, 2020, 39(9):2529-2539. DOI:10.7524/j.issn. 0254-6108.2020040902.(in Chinese)

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