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Models Of North Atlantic Right Whale Habitat: Tools For Science And Conservation

机译:北大西洋露脊鲸栖息地的模型:科学和保护工具

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摘要

Intense whaling nearly abolished the North Atlantic right whale (Eubalaena glacialis) population. Present day threats to the species are collisions with vessels, entanglement in fishing gear, and environmental variability. In this body of work we quantify the relationship between right whales and their prey, ricegrain sized crustaceans called copepods, and employ a spatial model to predict the potential distribution of right whales on a weekly basis. Time series datasets of right whale abundance and copepod concentration were analyzed to quantify the relationship between right whales and their prey. We found significant relationships between right whales and copepods in Cape Cod Bay and the Great South Channel. These results tell us that accurate regional-scale models of copepod concentration can be used to infer the time and location of good right whale feeding conditions. The environmental niche of right whales was characterized using modeled prey abundance, sea surface temperature, chlorophyll concentration and bathymetry. With environmental data for the time and location of each right whale occurrence between 2002 and 2006, we trained and tested a model to predict right whale habitat suitability on a weekly basis. The accuracy of predictions was good, and the feasibility of our approach was verified. Results suggest that right whale habitat preferences are dynamic and that the distribution of prey is an important to the distribution of whales. We built an operational forecasting model of right whale habitat suitability in Cape Cod Bay, and used it to make weekly predictions for the year 2009. Modeled concentration of two right whale prey taxa (C. finmarchicus and Pseudocalanus spp.) sea surface temperature, chlorophyll and bathymetry were used as predictor variables. Predictions were verified with occurrences of right whales in Cape Cod Bay from 2009. Model output was used to assess the utility of moving shipping routes in Cape Cod Bay. The model was then projected, beyond the model-training region, into Massachusetts Bay. Results suggested that altering of shipping lanes in Cape Cod Bay is unlikely to reduce the risk of ship-strikes. A significant positive relationship was found between predicted habitat suitability and the number of acoustic detections of right whales in Massachusetts Bay. We conclude that our modeling approach could be used to: 1) issue weekly forecasts of right whale habitat quality, 2) assess conservation actions, 3) guide survey effort in other regions, and ultimately to reduce human-caused risk to the right whales.
机译:强烈的捕鲸活动几乎废除了北大西洋的露脊鲸(Eubalaena glacialis)。对物种的当今威胁是与船只的碰撞,渔具的缠结以及环境的变化。在这项工作中,我们量化了右鲸鱼与它们的猎物稻米大小的甲壳类(称为pe足类)之间的关系,并采用了空间模型来每周预测右鲸鱼的潜在分布。分析了右鲸丰度和co足类动物浓度的时间序列数据集,以量化右鲸与其猎物之间的关系。我们在科德角湾和大南海道发现右鲸和co足类动物之间的重要关系。这些结果告诉我们,co足类动物浓度的精确区域尺度模型可用于推断正确的右鲸饲养条件的时间和位置。使用建模的猎物丰度,海面温度,叶绿素浓度和测深法对右鲸的环境生态位进行了表征。借助2002年至2006年期间每条右鲸发生时间和地点的环境数据,我们训练并测试了一种模型,以每周预测一次右鲸栖息地的适宜性。预测的准确性很好,并且我们的方法的可行性得到了验证。结果表明,正确的鲸鱼栖息地偏好是动态的,猎物的分布对鲸鱼的分布很重要。我们在鳕鱼角湾建立了右鲸栖息地适宜性的业务预测模型,并用其对2009年进行了每周预测。对两个右鲸捕食类群(C. finmararchicus和Pseudocalanus spp。)海面温度,叶绿素的浓度进行了建模。和测深法用作预测变量。从2009年开始就对鳕鱼角中右鲸的发生进行了预测。模型输出用于评估在鳕鱼角中移动航线的效用。然后,将模型投影到模型训练区域之外的马萨诸塞湾。结果表明,改变科德角湾的航道不太可能降低发生船祸的风险。在预测的栖息地适宜性与马萨诸塞湾右鲸的声学检测数量之间发现显着正相关。我们得出的结论是,我们的建模方法可用于:1)发布关于露脊鲸栖息地质量的每周预报,2)评估保护行动,3)指导其他地区的调查工作,最终减少人为引起的露脊鲸风险。

著录项

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    Pendleton Daniel;

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  • 年度 2010
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