[1]陈炳耀,杨丛汶.东亚江豚全球适宜栖息地分布预测[J].南京师大学报(自然科学版),2024,(02):76-83.[doi:10.3969/j.issn.1001-4616.2024.02.009]
　Chen Bingyao,Yang Congwen.The Prediction of Global Suitable Habitat Distribution for East Asian Finless Porpoise[J].Journal of Nanjing Normal University(Natural Science Edition),2024,(02):76-83.[doi:10.3969/j.issn.1001-4616.2024.02.009]
点击复制

东亚江豚全球适宜栖息地分布预测()
分享到：

《南京师大学报（自然科学版）》[ISSN:1001-4616/CN:32-1239/N]

卷:
期数:
2024年02期
页码:
76-83
栏目:
江豚生态学与保护生物学
出版日期:
2024-06-15

文章信息/Info

Title:
The Prediction of Global Suitable Habitat Distribution for East Asian Finless Porpoise
文章编号:
1001-4616(2024)02-0076-08
作者:
陈炳耀; 杨丛汶
(南京师范大学生命科学学院,江苏 南京 210023)
Author(s):
Chen Bingyao; Yang Congwen
(School of Life Sciences,Nanjing Normal University,Nanjing 210023,China)
关键词:
东亚江豚; 环境变量; 栖息地预测; 水深; 最大熵模型
Keywords:
the Narrow-ridged Finless Porpoise; habitat prediction; MaxEnt; bathymetry; environmental factors
分类号:
Q958.2
DOI:
10.3969/j.issn.1001-4616.2024.02.009
文献标志码:
A
摘要:
东亚江豚是国家二级重点保护野生动物,IUCN红色名录濒危EN物种,主要分布于中国、日本和韩国水域,目前的关注度较少,科学家还未对其栖息地进行过相关系统的评价. 本研究基于MaxEnt模型和ArcGIS平台以及物种分布位点和6种环境变量数据,构建了适宜栖息地的模型,模型的训练集和测试集的AUC分别为 0.973 和0.965,表明模型的预测能力良好. 模型预测适合度大于0.5的中高度适宜栖息地约213 110.2 km2,主要分布在台湾海峡以北的中国沿岸海域(159 865.4 km2)、朝鲜半岛西南部海域(37 863.3 km2)和日本的东南部海域(4 615 km2); 适合度大于0.7的高适宜区主要分布于浙江北部至江苏南通,盐城到连云港附近,山东威海以北的渤海海域,韩国的江华湾及周边海域. 通过分析因子贡献率、排列重要性和刀切法检验,水深、盐度以及海表温度在东亚江豚栖息地选择中起到比较重要的作用. 基于本研究结果,建议对长江口及渤海湾增加现有保护区的面积或建立新的保护区,管控区内的人类活动,促进东亚江豚的生存和发展.
Abstract:
The East Asian Finless Porpoise(Neophocaena asiaeorientalis sunameri),as a national second-class protected animal in China and an endangered species in IUCN red list,is distributed in China,Japan and Korea coastal waters. This species attracted little attention,its habitat has not been systematically evaluated so far. In this study,the distribution model was constructed based on distribution data of east Asian Finless Porpoise and downloaded environmental factors data on MaxEnt and ArcGIS platform. The AUCtraining=0.973,AUCtest=0.965 indicated good precision of the model and reliable result. The habitat area with suitability greater than 0.5 was about 213 110.2 km2,mainly distributed in coastal waters north of Taiwan strait,China(159 865.4 km2),the western and southern waters of the Korean peninsula(37 863.3 km2),and the southeastern waters of Japan(4 615 km2). The areas of high suitability(habitat suitability>0.7)are distributed from north Zhejiang province to Nantong,from Yancheng to the vicinity of Lianyungang,Bohai Sea north Weihai,China and Ganghwa Bay and its surrounding waters in South Korea. By analyzing the contribution rate,the leading importance of factor,and the jackknife test,the bathymetry,salinity,and sea surface temperatures are important in the prediction MaxEnt model. Based on our results in habitat suitability prediction,the study suggested to increase the area or number of the natural marine protected areas appropriately,control anthropogenic activities,and improve the survival and development of east Asian Finless Porpoises.

参考文献/References:

[1]JEFFERSON T A,WANG J Y. Revision of the taxonomy of Finless Porpoises(genus Neophocaena):The existence of two species[J]. Journal of marine animals and their ecology,2011,4(1):3-16.
[2]ZHOU X M,GUANG X M,SUN D. Population genomics of Finless Porpoises reveal an incipient cetacean species adapted to freshwater[J]. Nature communications,2018(9):1276.
[3]YOUNG R L,YONG R A,KYUM J P,et al. Age and reproduction of the Finless Porpoises,Neophocaena asiaeorientalis,in the Yellow Sea,Korea[J]. Animal cells and systems,2013,17(5):366-373.
[4]SHIRAKIHARA K,NAKAHARA F,SHINOHARA M,et al. Abundance decline in the narrow-ridged Finless Porpoise population off the Pacific Coast of Eastern Japan[J]. Population ecology,2019,61(03):325-332.
[5]李永涛,于国旭,程兆龙,等. 长岛海域东亚江豚种群密度和分布的初步研究[J]. 动物学杂志,2023,58(5):658-668.
[6]程兆龙,于国旭,李永涛,等. 庙岛群岛海域夏季东亚江豚分布与集群特征[J]. 海洋环境科学,2023,42(4):583-588.
[7]程兆龙,于国旭,李永涛,等. 黄河口及其邻近水域春季东亚江豚分布规律[J]. 海洋与湖沼,2022(2):53.
[8]CHEN C W,JEFFERSON T A,CHEN B Y,et al. Geographic range size,water temperature,and extrinsic threats predict the extinction risk in global cetaceans[J]. Global change biology,2022,28:6541-6555.
[9]杨莹,王秋莲,夏妍梦,等. 我国海洋生态环境状况及保护对策研究[C]//中国环境科学学会2021年科学技术年会论文集(三). 天津:中国环境科学学会,2021.
[10]崔野. 加快治理跨域海洋环境问题[J]. 环境教育,2022(1):33-35.
[11]郭彦龙,赵泽芳,乔慧捷,等. 物种分布模型面临的挑战与发展趋势[J]. 地球科学进展,2020,35(12):1292-1305.
[12]王运生. 生态位模型在外来入侵物种风险评估中的应用研究[D]. 长沙:湖南农业大学,2007.
[13]李国庆,刘长成,刘玉国,等. 物种分布模型理论研究进展[J]. 生态学报,2013,33(16):4827-4835.
[14]应佳莉. 基于MaxEnt模型预测气候变化对中国特有荚蒾潜在分布的影响[D]. 武汉:中国科学院大学,2021.
[15]许仲林,彭焕华,彭守璋. 物种分布模型的发展及评价方法[J]. 生态学报,2015,35(2):557-567.
[16]陈新美,雷渊才,张雄清,等. 样本量对MaxEnt模型预测物种分布精度和稳定性的影响[J]. 林业科学,2012,48(1):53-59.
[17]杨启杰. 基于MaxEnt模型的孑遗植物桫椤在不同时期的潜在适生区研究[D]. 杭州:浙江大学,2021.
[18]李响,张成福,贺帅,等. MaxEnt模型综合应用研究进展分析[J]. 绿色科技,2020(14):14-17.
[19]张琳婧. 西黑冠长臂猿栖息地多场景空间模拟预测与保护规划研究[D]. 杭州:浙江大学,2021.
[20]郑伟成,陈智强,郑子洪,等. 浙江九龙山国家级自然保护区黑熊活动监测及其华东地区潜在分布区预测[J]. 动物学杂志,2021,56(4):509-521.
[21]MIGUEL S,RICARDO T,ARMANDO R D,et al. Spatial distribution of bat species on hispaniola island,the greater antilles[J]. Acta chiropterologica,2022,23(2):443-454.
[22]孟祥垚,汪华志,周煜,等. 北部湾印太江豚密度估算及适宜栖息地预测[J]. 兽类学报,2022,42(4):362-369.
[23]CHEN B Y,HONG Z,HAO X,et al. Environmental models for predicting habitat of the Indo-Pacific humpback dolphins in Fujian,China[J]. Aquatic conservation marine and freshwater ecosystems,2020,30:787-793.
[24]田甲申,鹿志创,王震,等. 辽宁海域东亚江豚的年龄鉴定与生长规律[J]. 生态学杂志,2019,38(8):2471-2476.
[25]PARK,KYUM J,SOHN H,et al. A new abundance estimate for the Finless Porpoise Neophocaena asiaeorientalis on the West Coast of Korea:An indication of population decline[J]. Fisheries and aquatic sciences,2015,18(4):411-416.
[26]张枫,张保卫,唐文乔,等. 长江口江豚的遗传多样性现状及种群动态[J]. 上海海洋大学学报,2018,27(5):656-665.
[27]左涛,孙坚强,时永强,等. 渤海江豚种群现状初探[J]. 兽类学报,2018,38(6):551-561.
[28]中国科学院动物所. 中国动物志[M]. 北京:科学出版社,2004.
[29]PHILLIPS S J,DUDIK M,ELITH J,et al. Sample selection bias and presence-only distribution models:implications for background and pseudo-absence data[J]. Ecological applications,2009,19(1):181-197.
[30]MORALES N S,FERNÁNDEZ I C,BACA-GONZÁLEZ V. MaxEnt's parameter configuration and small samples:are we paying attention to recommendations?A systematic review[J]. Peer journal,2017,5:e3093.
[31]张子双. 基于特征选择的肝癌生物标志物筛选方法[D]. 济南:山东大学,2021.
[32]柴龙凯. 基于数据(序列模式)挖掘的医院物资使用量预测模型研究[D]. 青岛:青岛科技大学,2018.
[33]张艳. 基于信息准则的模型选择方法的研究及应用[D]. 济南:山东理工大学,2017.
[34]NAHM F S. Receiver operating characteristic curve:overview and practical use for clinicians[J]. Korean journal of anesthesiol,2022,75(1):25-36.
[35]LEE S M,PARK K J,KIM B Y,et al. Genetic diversity and population demography of narrow-ridged Finless Porpoises from South Korea on the basis of mitochondrial DNA variation:Implications for its conservation in East Asia[J]. Marine mammal science,2019,35(2):574-594.
[36]YOSHIDA H,YOSHIOKA M,SHIRAKIHARA M,et al. Population structure of Finless Porpoises(Neophocaena Phocaenoides)in coastal waters of Japan based on mitochondrial DNA sequences[J]. Journal of mammalogy,2001,82(1):123-130.
[37]程亚欣. 基于线粒体控制区和细胞色素B基因的江豚种群遗传多样性和遗传结构分析[D]. 上海:上海海洋大学,2016.
[38]潘邵媛,王学昉,田思泉,等. 长江口中华鲟保护区海洋环境监测浮标站点的优化设计[J]. 海洋学报,2021,43(4):55-64.
[39]蔡为民,张磊,刘沁萍,等. 天津古海岸与湿地国家级自然保护区生态补偿标准及关键技术研究[J]. 湿地科学,2016,14(2):137-144.

备注/Memo

备注/Memo:
收稿日期:2023-08-08.
通讯作者:陈炳耀,教授,研究方向:鲸类种群生态学、毒理生态学和保护生物学. E-mail:chby2632@163.com
更新日期/Last Update: 2024-06-15