Data from: Assessing the Recovery of an Antarctic Predator from Historical Exploitation

• Main Authors: Zerbini, Alex, Adams, Grant, Best, John, Clapham, Phillip, Jackson, Jennifer, Punt, Andre
• Format: Dataset
• Language: unknown
• Published: 2019
• Subjects: South Atlantic Ocean; Bayesian modeling; Megaptera novaeangliae; Antarctic; Antarctic krill; The Antarctic; Antarc*; Antarctic Krill; Euphausia superba
• Online Access: https://zenodo.org/record/4961219; https://doi.org/10.5061/dryad.8jj7432

The recovery of whale populations from centuries of exploitation will likely have important management and ecological implications due to greater exposure to anthropogenic threats and increasing prey consumption. Here, a Bayesian population model integrates catch data, estimates of absolute and relative abundance, and information on genetics and biology to assess the recovery of western South Atlantic (WSA) humpback whales (Megaptera novaeangliae). Modeling scenarios are used to evaluate the sensitivity of model outputs resulting from the use of different data, different model assumptions, and uncertainty in catch allocation and in accounting for whales killed but not landed. A long period of exploitation drove WSA humpback whales to the brink of extinction. They declined from nearly 27,000 individuals in 1830 to only 450 whales in the mid 1950s. Protection led to a strong recovery and the current population is estimated to be at 93% of its pre-exploitation size. The recovery of WSA humpback whales may result in large removals of their primary prey, the Antarctic krill (Euphausia superba), and has the potential to modify the community structure in their feeding grounds. Continued monitoring is needed to understand how these whales will respond to modern threats and to climate-driven changes to their habitats. Code and Data for "Assessing the Recovery of an Antarctic Predator from Historical Exploitation" A zip file containing the analysis results presented in Zerbini et al., as well as an empty directory structure and the code required to produce those results. Note that results were obtained using R version 3.5.2. Code_Data_Zerbini_et_al.zip