Adaptive monitoring of coral health at Scott Reef where data exhibit nonlinear and disturbed trends over time.

ABSTRACT: Time series data are often observed in ecological monitoring. Frequently, such data exhibit nonlinear trends over time potentially due to complex relationships between observed and auxiliary variables, and there may also be sudden declines over time due to major disturbances. This poses substantial challenges for modeling such data and also for adaptive monitoring. To address this, we propose methods for finding adaptive designs for monitoring in such settings. This work is motivated by a monitoring program that has been established at Scott Reef; a coral reef off the Western coast of Australia. Data collected for monitoring the health of Scott Reef are considered, and semiparametric and interrupted time series modeling approaches are adopted to describe how these data vary over time. New

SUBMITTER: Abeysiri Wickrama Liyanaarachchige PT 

PROVIDER: S-EPMC9465202 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature