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基于Maxent模型的海地瓜(Acaudina molpadioides)区域适宜生境分布预测研究

何彦龙 刘守海 袁一鸣 蒋科技 王腾 秦玉涛 任远豪

何彦龙,刘守海,袁一鸣,等. 基于Maxent模型的海地瓜(Acaudina molpadioides)区域适宜生境分布预测研究[J]. 海洋学报,2021,43(4):65–74 doi: 10.12284/hyxb2021042
引用本文: 何彦龙,刘守海,袁一鸣,等. 基于Maxent模型的海地瓜(Acaudina molpadioides)区域适宜生境分布预测研究[J]. 海洋学报,2021,43(4):65–74 doi: 10.12284/hyxb2021042
He Yanlong,Liu Shouhai,Yuan Yiming, et al. The potential suitability habitat prediction of Acaudina molpadioides based on Maxent model[J]. Haiyang Xuebao,2021, 43(4):65–74 doi: 10.12284/hyxb2021042
Citation: He Yanlong,Liu Shouhai,Yuan Yiming, et al. The potential suitability habitat prediction of Acaudina molpadioides based on Maxent model[J]. Haiyang Xuebao,2021, 43(4):65–74 doi: 10.12284/hyxb2021042

基于Maxent模型的海地瓜(Acaudina molpadioides)区域适宜生境分布预测研究

doi: 10.12284/hyxb2021042
基金项目: 国家重点研发计划重点专项(2016YFC1402405)
详细信息
    作者简介:

    何彦龙(1980-),甘肃省陇西县人,博士,高级工程师,主要从事海岸带生态评估研究。E-mail:ylhe@ecs.mnr.gov.cn

  • 国家核安全局关于近期海洋生物或异物影响核电厂取水安全事件的通报。
  • 中图分类号: P714.21+.5;P714+.5

The potential suitability habitat prediction of Acaudina molpadioides based on Maxent model

  • 摘要: 生境适宜性预测对物种保护、外来生物及有害生物防治具有重要指导意义。本研究应用Maxent模型对宁德晴川湾海域海地瓜适宜性生境进行预测,模型的预测结果达到优秀水平,并结合ArcGIS软件对海地瓜适宜生境划分为5级。研究结果表明,极高和较高海地瓜适宜生境占总研究区域的1.3%,面积为25.6 km2。水体环境、沉积环境和生态群落均对海地瓜分布产生影响,水体环境中水深、盐度、无机氮和活性磷酸盐是影响海地瓜生境适宜性的主要水环境因子,对海地瓜适宜生境预测累计贡献率达39%,尤其水深是制约海地瓜分布最为主要的因子,预测贡献率为27%;沉积物粒度、硫化物和总有机碳是沉积环境主要影响因子,预测累计贡献率达40.4%,其中沉积物黏土颗粒体积占比是第二重要影响因子,预测贡献率约为18%。浮游动物密度和生物量以及底栖动物种类数量均对海地瓜分布产生一定影响,三者预测累计贡献率为16.8%,其中浮游动物密度的贡献相比其他生物要素最为重要,贡献率约为8%。总体上,海地瓜最为理想的分布区是近岸水深小于5 m、盐度相对较低、沉积物有机碳含量较高、底质为黏土−粉砂土为主的浅水淤泥质生境。
    1)  国家核安全局关于近期海洋生物或异物影响核电厂取水安全事件的通报。
  • 图  1  调查站位布设

    Fig.  1  The sampling sites at the study area

    图  2  PCR电泳图谱

    Fig.  2  The PCR electrophoretogram

    图  3  海地瓜Maxent预测模型AUC曲线(a)和刀切法检验结果(b)

    Fig.  3  The results of AUC test for Acaudina molpadioides (a) and the results of jackknife test (b) by Maxent model

    图  4  潜在分布概率对主要环境变量的响应曲线

    Fig.  4  Response curves of potential distribution probability to major environmental variables

    图  5  Zonation特性曲线

    Fig.  5  Performance curve of Zonation model

    图  6  海地瓜分布预测区域

    Fig.  6  The potential spatial distribution of Acaudina molpadioides

    图  7  研究区生态环境空间变化

    a. N:P比值; b. 沉积物粒度体积百分比;c. 沉积物总有机碳;d. 浮游动物生物量

    Fig.  7  Spatial change of ecological environment elements in the study area

    a. N:P ratio; b. the volume percentage of substrate of sediment clay; c. total organic carbon; d. the biomass of zooplankton

    表  1  海地瓜生境适宜性分布预测应用的生态环境变量

    Tab.  1  The ecological environment variables used to predict the potential habitat of the Acaudina molpadioides

    环境变量环境要素单位代号
    水体环境温度t
    盐度s
    水深mdeep
    pHpH
    悬浮物浓度mg/LSed.
    浑浊度NTUNTU
    化学需要量mg/LCOD
    溶解氧mg/LDO
    生化需氧量mg/LBOD
    叶绿素 amg/LChl a
    总碳mg/LTC
    总氮mg/LTN
    总磷mg/LTP
    无机氮mg/LN
    活性磷酸盐mg/LP
    活性硅酸盐mg/LSi
    生物种类构成及特征浮游植物多样性PH
    浮游植物密度ind./LPdens
    浮游植物种类数NPSN
    浮游动物多样性ZH
    浮游动物密度ind./m3Zdens
    浮游动物种类数NZSN
    浮游动物生物量mg/m3zbio
    底栖生物多样性Benh
    底栖动物种类数NBSN
    底栖生物生物量g/m2BBIO
    沉积环境沉积物硫化物mg/kgNS1
    沉积物含水率%WC
    有机碳%TOC
    黏土质粉砂%CC
    粉砂%SC
    %Sand
    下载: 导出CSV

    表  2  各环境变量贡献率

    Tab.  2  Contribution percent of each environmental factor in MaxEnt modeling

    环境变量贡献率/%
    水深27
    黏土颗粒体积占比17.6
    沉积物硫化物含量14.3
    浮游动物密度8.3
    粉砂颗粒体积占比6.2
    活性磷酸盐6
    浮游动物生物量5.9
    无机氮3
    海水盐度3
    底栖生物种类数2.6
    沉积物总有机碳2.3
    底栖生物多样性指数1.1
    下载: 导出CSV

    表  3  分布区等级及分布面积占比

    Tab.  3  distribution grade and the percentage of distribution area

    潜在分布区等级分布预测概率/%栅格数面积/km2占比/%
    极高适宜分布区>951905.90.3
    较高适宜分布区80~9561919.71
    中度适宜分布区60~801 40043.42.2
    较低适宜分布区40~603 331108.55.5
    极低适宜分布区<4054 6861795.591
    下载: 导出CSV
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    Lü Weiwei. The preliminary study on the influence of reclamation on macrobenthos in the Hengsha East Shoal[D]. Shanghai: East China Normal University, 2013.
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出版历程
  • 收稿日期:  2020-07-06
  • 修回日期:  2020-11-10
  • 网络出版日期:  2021-03-02
  • 刊出日期:  2021-04-01

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