Detecting population trends for US marine mammals

Abstract Trend analysis can provide valuable information about marine mammal population dynamics, potentially revealing the influence of environmental factors and inform conservation and management decisions. We reviewed the marine mammal stock assessment reports (SARs) published by the US National...

Full description

Bibliographic Details
Published in:Conservation Science and Practice
Main Authors: Easton R. White, Zachary Schakner, Amber Bellamy, Mridula Srinivasan
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2022
Subjects:
marine mammals
population dynamics
trend analysis
population monitoring
Ecology
QH540-549.5
General. Including nature conservation
geographical distribution
QH1-199.5
Beluga
Beluga*
Delphinapterus leucas
Humpback Whale
Killer Whale
Megaptera novaeangliae
Orca
Orcinus orca
Killer whale
Online Access:https://doi.org/10.1111/csp2.611
https://doaj.org/article/0cc5b5af23dc4b75af6c6f9360595b0e
Description
Summary:Abstract Trend analysis can provide valuable information about marine mammal population dynamics, potentially revealing the influence of environmental factors and inform conservation and management decisions. We reviewed the marine mammal stock assessment reports (SARs) published by the US National Marine Fisheries Service and found that 80% of the selected 244 marine mammal stocks with SARs lack assessment for trends in population abundance. We compared trend analysis with another common management tool, potential biological removal (PBR), a measure of the maximum human‐caused mortality that can still result in positive population growth. We found that, generally, estimates of PBR were lower for declining stocks than for increasing or stable stocks and varied by life history characteristics. As a case study, we used a resampling approach on three well‐studied stocks, killer whale (Orcinus orca—Northern Resident), beluga (Delphinapterus leucas—Cook Inlet), and humpback whale (Megaptera novaeangliae—CA/OR/WA), to test the minimal amount of time and sampling necessary to detect population trends with high statistical power. We found seven sampling events over more than 10 years were needed for a high statistical power level for all three stocks. Altogether, these findings suggest that well‐studied stocks can provide crucial information on the statistical requirements for detecting trends. Furthermore, our proposed resampling approach might enable more frequent trend analysis, even with limited time series available for many stocks.

Similar Items