Humpback Whale Habitat-based Marine Mammal Density Models for the U.S. Atlantic: Latest Versions

In 2016, together with our collaborators, we published density models for 26 cetacean species and 3 guilds inhabiting U.S. waters of the western North Atlantic and northern Gulf of Mexico (Roberts et al. 2016). After publication, we began an update to the Atlantic (a.k.a. "East Coast") models that utilized the same methodology but incorporated additional survey data not available for use in models published in 2016. During 2017-2021, we released updated models for many of the East Coast taxa as additional data accumulated and new collaborators joined the project. Finally, in 2022, we released a comprehensive set of updated models covering all taxa. This model contains the 2022 update for humpback whale.
acknowledgement=This project would not be possible without the contributions of many individuals and organizations. Above all, we acknowledge the work of those who collected, processed, and shared marine mammal and covariate data with us, and to those who funded the production of those data. In particular, we thank the observers, pilots, ship captains, and crew who collected the marine mammal observations that form the core of this analysis. Tables 4, 5, and 6 (See referenced citation Roberts et al. 2023) list the collaborating institutions, survey programs, and citations for marine mammal surveys used for the EC models. Tables 10 and 11 (See referenced citation Roberts et al. 2023) list those that were additionally used for the AFTT models. Table 2 (See referenced citation Roberts et al. 2023) lists the data sources and citations for covariates used in both models. Thank you all for the opportunity to analyze the data you produced; we hope you find this project a satisfactory outcome of your efforts. Many thanks to colleagues who shared additional data, reviewed portions of our work, provided valuable advice, or answered technical questions, including: Susan Barco, Suzanne Bates, Elizabeth Becker, Olly Boisseau, Gary Buchanan, Steve Buckland, Sam Chavez-Rosales, Danielle Cholewiak, Tim Cole, Peter Corkeron, Mark Cotter, Erin Cummings, Genevieve Davis, Rob DiGiovanni, Megan Ferguson, Karin Forney, Lance Garrison, Caroline Good, Tim Gowan, Phil Hammond, Jolie Harrison, Katie Jackson, Beth Josephson, Bob Kenney, Christin Khan, Scott Kraus, Erin LaBrecque, Claire Lacey, Sophie Laran, Ben Laws, Patrick Lehodey, Gwen Lockhart, Kate Lomac-MacNair, Tiago Marques, Ryan McAlarney, Bill McLellan, David L. Miller, Keith Mullin, Doug Nowacek, Orla O'Brien, Ann Pabst, Richard Pace, Debi Palka, Eric Patterson, Ester Quintana-Rizzo, Jessica Redfern, Vincent Ridoux, Doug Sigourney, Len Thomas, Sofie Van Parijs, Melanie White, Amy Whitt, and Ann Zoidis. We gratefully acknowledge Genevieve Davis and coauthors (Davis et al. 2017, 2020) for making passive acoustic monitoring data available for the purpose of evaluating baleen whale model predictions. These data appear in the accompanying taxon-specific reports for the baleen whales. Thanks also to our colleagues at MGEL who also assisted with data processing, analysis, model review, and project management, including Ana Ca¤adas, Jesse Cleary, Corrie Curtice, Ei Fujioka, and Rob Schick. Funding for this project was provided by United States Fleet Forces Command and was managed on their behalf by Naval Facilities Engineering Systems Command Atlantic. Development of the model for North Atlantic right whale was co-funded by NOAA under a cooperative research agreement. Certain data contributors requested that their programs or products be acknowledged in a specific way. We include these acknowledgements below. Virginia Aquarium & Marine Science Center?s Virginia CZM Wind Energy Area Surveys were funded by the Virginia Coastal Zone Management Program at the Department of Environmental Quality through Task 1 of Grant NA12NOS4190027 and Task 95.02 of Grant NA13NOS4190135 of the U.S. Department of Commerce, National Oceanic and Atmospheric Administration, under the Coastal Zone Management Act of 1972, as amended. The University of North Carolina Wilmington's Navy surveys were funded by U.S. Navy Fleet Forces Command with Joel Bell as the COTR. University of North Carolina Wilmington?s right whale surveys were funded by NOAA. New England Aquarium's surveys of the Massachusetts and Rhode Island Wind Energy Areas, known in this report as the NLPSC and MMS-WEA programs, were funded by Massachusetts Clean Energy Center and the Bureau of Ocean Energy Management. Odd Aksel Bergstad, Thomas de Lange Wenneck, Leif N?ttestad, and Gordon Waring contributed the MAR-ECO survey under the Norwegian License for Open Government data (NLOD). The REMMOA and SAMM surveys were contributed by Observatoire PELAGIS at the University of La Rochelle, France. Funding for the development of HYCOM has been provided by the National Ocean Partnership Program and the Office of Naval Research. Data assimilative products using HYCOM are funded by the U.S. Navy. The 1/12 degree global HYCOM+NCODA Ocean Reanalysis was funded by the U.S. Navy and the Modeling and Simulation Coordination Office. Computer time was made available by the DoD High Performance Computing Modernization Program. The output is publicly available at https://hycom.org. The Ssalto/Duacs altimeter products were produced and distributed by the Copernicus Marine and Environment Monitoring Service (CMEMS) (https://marine.copernicus.eu). The altimetry and the Mesoscale Eddy Trajectory Atlas products were produced by Ssalto/Duacs and distributed by AVISO+ (https://www.aviso.altimetry.fr) with support from CNES, in collaboration with Oregon State University with support from NASA. CCMP vector wind analyses are produced by Remote Sensing Systems. Data are available at https://www.remss.com. This study has been conducted using E.U. Copernicus Marine Service Information, including SEAPODYM (doi: 10.48670/moi-00020) and Copernicus GlobColour (CMEMS product code OCEANCOLOUR_GLO_CHL_L4_REP_OBSERVATIONS_009_082).
cdm_data_type=Grid
contributor_name=Jason J. Roberts, Tina M. Yack, Patrick N. Halpin, Benjamin D. Best, Laura Mannocci, Ei Fujioka, Debra L. Palka, Lance P. Garrison, Keith D. Mullin, Timothy V. N. Cole, Christin B. Khan, William A. McLellan, D. Ann Pabst & Gwen G. Lockhart
Conventions=ACDD-1.3, CF-1.11, COARDS
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history=Version 1 (2013-05-03): Initial version. Version 2 (2013-05-08): Figures regenerated with improved label placement. Version 3 (2014-03-01): Switched from four seasonal models to two. Reformulated density model using a Horvitz-Thompson estimator. Eliminated GAM for group size (consequence of above). Added group size as a candidate covariate in detection functions (benefit of above). Added survey ID as a candidate covariate in NOAA NARWSS detection functions. Took more care in selecting right-truncation distances. Fitted models with contemporaneous predictors, for comparison to climatological. Switched SST and SST fronts predictors from NOAA Pathfinder to GHRSST CMC0.2deg L4. Changed SST fronts algorithm to use Canny operator instead of Cayula-Cornillon. Switched winds predictors from SCOW to CCMP (SCOW only gives climatol. estimates.) Added DistToEddy predictors, based on Chelton et al. (2011) eddy database. Added cumulative VGPM predictors, summing productivity for 45, 90, and 180 days. Added North Atlantic Oscillation (NAO) predictor; included 3 and 6 month lags. Transformed predictors more carefully, to better minimize leverage of outliers. Implemented hybrid hierarchical- forward / exhaustive model selection procedure. Model selection procedure better avoids concurvity between predictors. Allowed GAMs to select between multiple formulations of dynamic predictors. Adjusted land mask to eliminate additional estuaries and hard-to-predict cells. Version 4 (2014-05-14): Added discussion of acoustic monitoring studies to text. Eliminated accidentally-included off-effort sighting at Cape Lookout (2006-04-20 14:14:00). Refitted summer model. Version 5 (2014-05-20): Fixed bug in temporal variability plots. Density models unchanged. Version 6 (2014-09-02): Added surveys: NJ-DEP, Virginia Aquarium, NARWSS 2013, UNCW 2013. Extended study area up Scotian Shelf. Added SEAPODYM predictors. Switched to mgcv estimation of Tweedie p parameter (family=tw()). Version 7 (2014-10-15): Added Palka (2006) survey-specific g(0) estimates. Removed distance to eddy predictors and wind speed predictor from all models; they were not ecologically justified. Fixed missing pixels in several climatological predictors, which led to not all segments being utilized. Eliminated Cape Cod Bay subregion. Version 8 (2014-11-11): Reconfigured detection hierarchy and adjusted NARWSS detection functions based on additional information from Tim Cole. Removed CumVGPM180 predictor. Updated documentation. Version 9 (2014-12-03): Fixed bug that applied the wrong detection function to segments NE_narwss_1999_widgeon_hapo dataset. Refitted models. Updated documentation. Version 9.1 (2015-03-05): Updated the documentation. No changes to the model. Version 9.2 (2015-05-14): Updated calculation of CVs. Switched density rasters to logarithmic breaks. No changes to the model. Version 9.3 (2015-09-26): Updated the documentation. No changes to the model. Version 9.4 (2016-04-21): Switched calculation of monthly 5% and 95% confidence interval rasters to the method used to produce the year-round rasters. (We intended this to happen in version 9.2 but I did not implement it properly.) Updated the monthly CV rasters to have value 0 where we assumed the species was absent, consistent with the year-round CV raster. No changes to the other (non-zero) CV values, the mean abundance rasters, or the model itself. Model files released as supplementary information to Roberts et al. (2016). Version 10 (2017-06-01): Began update to Roberts et al. (2015) model. Introduced new surveys from AMAPPS, NARWSS, UNCW, VAMSC, and the SEUS NARW teams. Updated modeling methodology. Refitted detection functions and spatial models from scratch using new and reprocessed covariates. Model released as part of a scheduled update to the U.S. Navy Marine Species Density Database (NMSDD). Version 11 (2022-06-20): This model is a major update over the prior version, with substantial additional data, improved statistical methods, and an increased spatial resolution. It was released as part of the final delivery of the U.S. Navy Marine Species Density Database (NMSDD) for the Atlantic Fleet Testing and Training (AFTT) Phase IV Environmental Impact Statement. Several new collaborators joined and contributed survey data: New York State Department of Environmental Conservation, TetraTech, HDR, and Marine Conservation Research. We incorporated additional surveys from all continuing and new collaborators through the end of 2020. (Because some environmental covariates were only available through 2019, certain models only extend through 2019.) We increased the spatial resolution to 5 km and, at NOAA's request, we extended the model further inshore from New York through Maine. We reformulated and refitted all detection functions and spatial models. We updated all enviromental covariates to newer products, when available, and added several covariates to the set of candidates. For models that incorporated dynamic covariates, we estimated model uncertainty using a new method that accounts for both model parameter error and temporal variability. Version 11.1 (2023-05-27): Completed the supplementary report documenting the details of this model. The model itself was not changed. NETCDF conversion:Raw data provided at https://seamap.env.duke.edu/models/Duke/EC/ were converted from raster images having an Anderson equal area projection into python xarray objects and reprojected to WGS-1984. See crs attribute for more details regarding the geographic project. Multiple raster files for monthly density estimates where merged into a single .nc file having time dimension and month coordinate. For datasets with multiple eras, only the most recent era is represented here. Data conversion to CF-NetCDF from raster files was performed by [e-mail]
id=ECMM_densityModel_Humpbackwhale
infoUrl=https://seamap.env.duke.edu/models/Duke/EC/
institution=Duke University Marine Geospatial Ecology Laboratory
key_words=Megaptera novaeangliae,Density models, Line-transect surveys, Passive acoustic monitoring, Abundance estimation, Generalized additive models
metadata_link=https://seamap.env.duke.edu/models/Duke/EC/
naming_authority=edu.duke.env.seamap
Northernmost_Northing=47.701744867003754
references=(1) Roberts, J., Best, B., Mannocci, L. et al. Habitat-based cetacean density models for the U.S. Atlantic and Gulf of Mexico. Sci Rep 6, 22615 (2016). https://doi.org/10.1038/srep22615; (2) Roberts, Jason J., Tina M. Yack, and Patrick N. Halpin. "Marine mammal density models for the US Navy Atlantic Fleet Training and Testing (AFTT) study area for the Phase IV Navy Marine Species Density Database (NMSDD)." Document version 1 (2023).
sourceUrl=(local files)
Southernmost_Northing=23.156215948215642
species=Humpback whale
standard_name_vocabulary=CF Standard Name Table v70
taxon_lsid=urn:lsid:marinespecies.org:taxname:137092
taxon_name=Megaptera novaeangliae
time_coverage_comment=Days, months, and time associated with start, end, and duration are approximate. For datasets with multiple eras, only the most recent era is represented here.
time_coverage_duration=2009-01-01 00:00:00,2019-12-31 00:00:00
time_coverage_end=2014-12-16T00:00:00Z
time_coverage_start=2014-01-16T00:00:00Z
Westernmost_Easting=-82.34740343532766

2016年，与我们的合作者共同发表了26种鲸类物种及3个群体的密度模型，这些物种和群体栖息在美国大西洋西部和墨西哥湾北部水域（Roberts等，2016年）。在发表后，我们开始对大西洋（又称“东海岸”）模型进行更新，该更新采用了相同的方法，但纳入了2016年发布的模型中不可用的额外调查数据。在2017-2021年期间，随着数据的积累和新合作者的加入，我们发布了东海岸许多物种的更新模型。最终，在2022年，我们发布了一套全面的更新模型，涵盖了所有物种。本模型包含2022年更新座头鲸模型。
致谢：本项目的实施离不开众多个人和机构的贡献。首先，我们感谢那些为我们收集、处理和共享海洋哺乳动物和协变量数据的人员，以及资助这些数据生产的机构。特别是，我们感谢收集构成本分析核心的海洋哺乳动物观测数据的观察员、飞行员、船长和船员。表格4、5和6（参见参考文献Roberts等，2023年）列出了合作机构、调查项目和用于EC模型的海洋哺乳动物调查的引用。表格10和11（参见参考文献Roberts等，2023年）列出了用于AFTT模型的额外调查。表格2（参见参考文献Roberts等，2023年）列出了两个模型中使用的协变量的数据来源和引用。感谢大家为我们提供分析数据的机遇；我们希望您认为本项目是您努力工作的满意成果。感谢分享额外数据、审阅我们工作的部分内容、提供宝贵建议或回答技术问题的同事：Susan Barco、Suzanne Bates、Elizabeth Becker、Olly Boisseau、Gary Buchanan、Steve Buckland、Sam Chavez-Rosales、Danielle Cholewiak、Tim Cole、Peter Corkeron、Mark Cotter、Erin Cummings、Genevieve Davis、Rob DiGiovanni、Megan Ferguson、Karin Forney、Lance Garrison、Caroline Good、Tim Gowan、Phil Hammond、Jolie Harrison、Katie Jackson、Beth Josephson、Bob Kenney、Christin Khan、Scott Kraus、Erin LaBrecque、Claire Lacey、Sophie Laran、Ben Laws、Patrick Lehodey、Gwen Lockhart、Kate Lomac-MacNair、Tiago Marques、Ryan McAlarney、Bill McLellan、David L. Miller、Keith Mullin、Doug Nowacek、Ola O'Brien、Ann Pabst、Richard Pace、Debi Palka、Eric Patterson、Ester Quintana-Rizzo、Jessica Redfern、Vincent Ridoux、Doug Sigourney、Len Thomas、Sofie Van Parijs、Melanie White、Amy Whitt和Ann Zoidis。我们感谢Genevieve Davis及其合作者（Davis等，2017年、2020年）为我们评估须鲸模型预测提供被动声学监测数据。这些数据见附带的须鲸特定报告。感谢MGEL的同事们，他们也协助数据处理、分析、模型审查和项目管理，包括Ana Cañas、Jesse Cleary、Corrie Curtice、Ei Fujioka和Rob Schick。本项目的资助由美国舰队部队司令部提供，由海军设施工程系统司令部大西洋区代表管理。北大西洋右鲸模型的开发由NOAA根据合作协议共同资助。某些数据贡献者要求以特定方式认可其项目或产品。以下是我们所包含的认可。弗吉尼亚水族馆和海洋科学中心（Virginia Aquarium & Marine Science Center）的弗吉尼亚州沿海水域风力发电场调查由美国商务部国家海洋和大气管理局（NOAA）的弗吉尼亚州沿海区管理计划资助，该项目通过美国商务部NOAA的赠款NA12NOS4190027的第1项任务和NA13NOS4190135的第95.02项任务进行。北卡罗来纳大学威尔明顿分校的海军调查由美国海军舰队部队司令部资助，Joel Bell为首席研究员（COTR）。北卡罗来纳大学威尔明顿分校的右鲸调查由NOAA资助。新英格兰水族馆的马萨诸塞州和罗德岛风力发电场调查（在本报告中称为NLPSC和MMS-WEA项目）由马萨诸塞州清洁能源中心和海洋能源管理局资助。Odd Aksel Bergstad、Thomas de Lange Wenneck、Leif Nttestad和Gordon Waring在挪威开放政府数据许可（NLOD）下提供了MAR-ECO调查。REMMOA和SAMM调查由法国拉罗谢尔大学的Observatoire PELAGIS提供。HYCOM模型开发由国家海洋伙伴关系计划和海军研究办公室提供资金。使用HYCOM的资料同化产品由美国海军资助。1/12度全球HYCOM+NCODA海洋再分析由美国海军和建模与仿真协调办公室资助。高性能计算现代化计划提供了计算时间。输出可在https://hycom.org上公开获取。Ssalto/Duacs雷达高度计产品由Copernicus海洋和环境监测服务（CMEMS）（https://marine.copernicus.eu）生产和分发。雷达高度计和细尺度涡旋轨迹图产品由Ssalto/Duacs生产并由AVISO+（https://www.aviso.altimetry.fr）分发，CNES提供支持，并与俄勒冈州立大学合作，NASA提供支持。CCMP矢量风分析由遥测系统公司生产。数据可在https://www.remss.com上获取。本研究使用了欧盟Copernicus海洋服务信息，包括SEAPODYM（doi: 10.48670/moi-00020）和Copernicus GlobColour（CMEMS产品代码OCEANCOLOUR_GLO_CHL_L4_REP_OBSERVATIONS_009_082）。
数据类型：网格
贡献者名称：Jason J. Roberts、Tina M. Yack、Patrick N. Halpin、Benjamin D. Best、Laura Mannocci、Ei Fujioka、Debra L. Palka、Lance P. Garrison、Keith D. Mullin、Timothy V. N. Cole、Christin B. Khan、William A. McLellan、D. Ann Pabst和Gwen G. Lockhart
公约：ACDD-1.3、CF-1.11、COARDS
默认图查询：&.draw=surface&.vars=longitude|latitude|density&.colorBar=KT_dense|||0|5|&.bgColor=0xffccccff
最东经：-56.23721928665664
地理空间坐标参考系统：EPSG:4326
地理空间纬度最大值：47.701744867003754
地理空间纬度最小值：23.156215948215642
地理空间纬度分辨率：0.04889547593384086
地理空间纬度单位：北纬
地理空间经度最大值：-56.23721928665664
地理空间经度最小值：-82.34740343532766
地理空间经度分辨率：0.048895475933840866
地理空间经度单位：东经
历史：版本1（2013-05-03）：初始版本。版本2（2013-05-08）：使用改进的标签位置重新生成了图。版本3（2014-03-01）：从四个季节性模型切换到两个。使用Horvitz-Thompson估计量重新表述密度模型。删除了群大小的高斯过程模型（上述更改的结果）。在检测函数中将群大小作为候选协变量。在NOAA NARWSS检测函数中将调查ID作为候选协变量。在选择右侧截断距离时更加谨慎。使用当代预测因子拟合模型，以便与气候模型进行比较。将SST和SST锋面预测因子从NOAA Pathfinder切换到GHRSST CMC0.2deg L4。将SST锋面算法更改为使用Canny算子而不是Cayula-Cornillon算法。将风速预测因子从SCOW切换到CCMP（SCOW只提供气候估计。）基于Chelton等人（2011年）涡旋数据库添加DistToEddy预测因子。添加了累积VGPM预测因子，总计45天、90天和180天的生产力。添加了北大西洋涛动（NAO）预测因子；包括3个月和6个月的滞后。更仔细地转换预测因子，以更好地最小化异常值的影响。实施混合分层-前向/穷举模型选择程序。模型选择程序更好地避免了预测因子之间的共曲性。允许GAM在多个动态预测因子的表述之间进行选择。调整陆地掩膜以消除额外的河口和难以预测的细胞。版本4（2014-05-14）：在文本中添加了对声学监测研究的讨论。删除了意外包含在Cape Lookout的无效观测（2006-04-20 14:14:00）。重新拟合夏季模型。版本5（2014-05-20）：修复了时间变化性图中的错误。密度模型未变。版本6（2014-09-02）：添加调查：NJ-DEP、弗吉尼亚水族馆、NARWSS 2013、UNCW 2013。将研究区域扩展到斯科特浅滩。添加SEAPODYM预测因子。切换到mgcv估计Tweedie p参数（family=tw()）。版本7（2014-10-15）：添加了Palka（2006年）特定调查的g(0)估计。从所有模型中删除了距离涡旋预测因子和风速预测因子；它们在生态上没有根据。修复了多个气候预测因子中的缺失像素，导致并非所有段都被利用。删除了科德角湾子区域。版本8（2014-11-11）：重新配置检测层次结构并根据Tim Cole提供的信息调整NARWSS检测函数。删除CumVGPM180预测因子。更新文档。版本9（2014-12-03）：修复了将错误的检测函数应用于NE_narwss_1999_widgeon_hapo数据集段落的错误。重新拟合模型。更新文档。版本9.1（2015-03-05）：更新了文档。模型没有变化。版本9.2（2015-05-14）：更新了CV的计算。将密度栅格转换为对数刻度。模型没有变化。版本9.3（2015-09-26）：更新了文档。模型没有变化。版本9.4（2016-04-21）：将月度5%和95%置信区间栅格的计算切换到生成全年栅格的方法。（我们原本计划在版本9.2中实现这一点，但我没有正确实施。）将月度CV栅格更新为值为0，因为我们假设物种不存在，这与全年CV栅格一致。其他（非零）CV值、平均丰度栅格或模型本身没有变化。模型文件作为Roberts等（2016年）的补充信息发布。版本10（2017-06-01）：开始更新Roberts等（2015年）模型。引入了来自AMAPPS、NARWSS、UNCW、VAMSC和SEUS NARW团队的新调查。更新了建模方法。从头开始使用新的和重新处理的协变量重新拟合检测函数和空间模型。作为美国海军海洋物种密度数据库（NMSDD）定期更新的组成部分，发布了模型。版本11（2022-06-20）：本模型是对先前版本的重大更新，包括大量新增数据、改进的统计方法以及更高的空间分辨率。它是作为美国海军舰队测试和训练（AFTT）阶段IV环境影响声明的最终交付的一部分发布的。几位新合作者加入并贡献了调查数据：纽约州环境保护局、TetraTech、HDR和海洋保护研究。我们通过2020年底，从所有持续和新的合作者那里纳入了额外的调查。（由于某些环境协变量仅在2019年可用，因此某些模型仅延伸到2019年。）我们将空间分辨率提高到5公里，并应NOAA的要求，将模型进一步延伸到纽约州和新罕布什尔州沿岸。我们重新表述并重新拟合了所有检测函数和空间模型。我们将所有环境协变量更新到更新的产品，并添加了几个候选协变量。对于包含动态协变量的模型，我们使用一种新的方法估计模型不确定性，该方法考虑了模型参数误差和时间变化性。版本11.1（2023-05-27）：完成了记录此模型详细信息的补充报告。模型本身没有变化。
NETCDF转换：提供的原始数据位于https://seamap.env.duke.edu/models/Duke/EC/，已从具有安德森等面积投影的栅格图像转换为python xarray对象，并重新投影到WGS-1984。有关地理投影的更多详细信息，请参阅crs属性。将用于月度密度估计的多个栅格文件合并为单个具有时间维度和月份坐标的单个.nc文件。对于具有多个时代的集合，此处仅表示最近的时代。由[e-mail]将栅格文件转换为CF-NetCDF的数据转换。
ID：ECMM_densityModel_Humpbackwhale
信息链接：https://seamap.env.duke.edu/models/Duke/EC/
机构：杜克大学海洋地理生态实验室
关键词：Megaptera novaeangliae、密度模型、线状调查、被动声学监测、丰度估计、广义加性模型
元数据链接：https://seamap.env.duke.edu/models/Duke/EC/
命名权威：edu.duke.env.seamap
最北纬：47.701744867003754
参考文献：（1）Roberts, J., Best, B., Mannocci, L.等. 美国大西洋和墨西哥湾鲸类物种的栖息地密度模型。科学报告6，22615（2016）。https://doi.org/10.1038/srep22615；（2）Roberts, Jason J.、Tina M. Yack和Patrick N. Halpin。“美国海军大西洋舰队训练和测试（AFTT）研究区域的海洋哺乳动物密度模型。”文件版本1（2023年）。
源链接：（本地文件）
最南纬：23.156215948215642
物种：座头鲸
标准名称词汇：CF标准名称表v70
物种LSID：urn:lsid:marinespecies.org:taxname:137092
物种名称：Megaptera novaeangliae
时间覆盖注释：与开始、结束和持续时间相关联的日、月和时间是近似的。对于具有多个时代的集合，此处仅表示最近的时代。
时间覆盖持续时间：2009-01-01 00:00:00，2019-12-31 00:00:00
时间覆盖结束：2014-12-16T00:00:00Z
时间覆盖开始：2014-01-16T00:00:00Z
最西经：-82.34740343532766