Linden Daniel W
NOAA National Marine Fisheries Service Northeast Fisheries Science Center Woods Hole Massachusetts USA.
Ecol Evol. 2025 Mar 4;15(3):e71035. doi: 10.1002/ece3.71035. eCollection 2025 Mar.
Population estimation using capture-recapture modeling typically requires that individuals are identifiable by unique marks. North Atlantic right whales () can be identified by natural callosity patterns on their heads that are established nearly a year after birth, which has facilitated population monitoring using extensive aerial surveys. A well-maintained catalog of individual sightings has been used to annually estimate population size with a Jolly-Seber (J-S) model using a Bayesian state-space framework. Given that young animals cannot enter the catalog before an established callosity pattern, the terminal-year population estimate never includes new calves despite breeding area surveys that provide a nearly complete census of births. Here, I illustrate a simple modification to the J-S likelihood whereby the number of expected entrants is a function of known births and a parameter representing initial offspring mortality. A simulation study was used as a proof of concept and indicated increased accuracy and precision of population estimates. The birth-integrated J-S model had more accurate terminal-year estimates of right whale population size that remained consistent during subsequent model fitting to additional years of sightings data. While the bias corrections were fairly small (5%) given low per capita calving rates, the demonstrated improvement in accuracy will be helpful to the conservation and management processes for this endangered species. Integrated modeling approaches make better use of available data and can improve inferences on population dynamics.
使用捕获-再捕获模型进行种群估计通常要求个体能够通过独特的标记来识别。北大西洋露脊鲸可以通过其头部的天然胼胝体图案来识别,这些图案在出生后近一年形成,这有助于通过广泛的航空调查进行种群监测。一个维护良好的个体目击记录目录已被用于每年使用贝叶斯状态空间框架的乔利-西伯(J-S)模型来估计种群规模。鉴于幼崽在既定的胼胝体图案形成之前无法进入该目录,尽管繁殖区调查提供了几乎完整的出生普查,但末年种群估计从未包括新生幼崽。在此,我说明了对J-S似然性的一个简单修改,即预期进入者的数量是已知出生数量和一个代表初始幼崽死亡率的参数的函数。一项模拟研究被用作概念验证,结果表明种群估计的准确性和精确性有所提高。整合出生信息的J-S模型对露脊鲸种群规模的末年估计更准确,在随后对更多年份目击数据进行模型拟合时保持一致。虽然由于人均产犊率较低,偏差校正相当小(5%),但所展示的准确性提高将有助于该濒危物种的保护和管理过程。整合建模方法能更好地利用现有数据,并可改善对种群动态的推断。