Martin Julien, Edwards Holly H, Bled Florent, Fonnesbeck Christopher J, Dupuis Jérôme A, Gardner Beth, Koslovsky Stacie M, Aven Allen M, Ward-Geiger Leslie I, Carmichael Ruth H, Fagan Daniel E, Ross Monica A, Reinert Thomas R
Florida Fish and Wildlife Conservation Commission, Fish and Wildlife Research Institute, St Petersburg, Florida, United States of America.
Patuxent Wildlife Research Center, United States Geological Survey, Laurel, Maryland, United States of America; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, United States of America.
PLoS One. 2014 Mar 26;9(3):e91683. doi: 10.1371/journal.pone.0091683. eCollection 2014.
The explosion of the Deepwater Horizon drilling platform created the largest marine oil spill in U.S. history. As part of the Natural Resource Damage Assessment process, we applied an innovative modeling approach to obtain upper estimates for occupancy and for number of manatees in areas potentially affected by the oil spill. Our data consisted of aerial survey counts in waters of the Florida Panhandle, Alabama and Mississippi. Our method, which uses a Bayesian approach, allows for the propagation of uncertainty associated with estimates from empirical data and from the published literature. We illustrate that it is possible to derive estimates of occupancy rate and upper estimates of the number of manatees present at the time of sampling, even when no manatees were observed in our sampled plots during surveys. We estimated that fewer than 2.4% of potentially affected manatee habitat in our Florida study area may have been occupied by manatees. The upper estimate for the number of manatees present in potentially impacted areas (within our study area) was estimated with our model to be 74 (95%CI 46 to 107). This upper estimate for the number of manatees was conditioned on the upper 95%CI value of the occupancy rate. In other words, based on our estimates, it is highly probable that there were 107 or fewer manatees in our study area during the time of our surveys. Because our analyses apply to habitats considered likely manatee habitats, our inference is restricted to these sites and to the time frame of our surveys. Given that manatees may be hard to see during aerial surveys, it was important to account for imperfect detection. The approach that we described can be useful for determining the best allocation of resources for monitoring and conservation.
“深水地平线”钻井平台的爆炸造成了美国历史上最大的海洋石油泄漏事故。作为自然资源损害评估过程的一部分,我们采用了一种创新的建模方法,以获取在可能受石油泄漏影响地区海牛的占有率和数量的上限估计值。我们的数据包括对佛罗里达狭长地带、阿拉巴马州和密西西比州水域的航空调查计数。我们的方法采用贝叶斯方法,考虑了与经验数据和已发表文献估计值相关的不确定性传播。我们表明,即使在调查期间我们的采样地块中未观察到海牛,也有可能得出占有率估计值以及采样时海牛数量的上限估计值。我们估计,在我们佛罗里达研究区域内,可能受影响的海牛栖息地中,被海牛占据的比例不到2.4%。利用我们的模型估计,在可能受影响区域(在我们的研究区域内)出现的海牛数量上限为74头(95%置信区间为46至107头)。海牛数量的这个上限估计值是以占有率的95%置信区间上限值为条件的。换句话说,根据我们的估计,在我们调查期间,我们研究区域内很可能有107头或更少的海牛。由于我们的分析适用于被认为可能是海牛栖息地的区域,我们的推断仅限于这些地点以及我们调查的时间范围。鉴于在空中调查期间海牛可能很难被看到,考虑到检测不完美的情况很重要。我们所描述的方法对于确定监测和保护资源的最佳分配可能是有用的。