Applying spatiotemporal models to monitoring data to quantify fish population responses to the Deepwater Horizon oil spill in the Gulf of Mexico
| Autor: | Kiva L. Oken, Elizabeth E. Holmes, Eric J. Ward, Katherine Shepard Watkins, Mark D. Scheuerell, Kenneth A. Rose, Shaye E. Sable |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0106 biological sciences
Spatiotemporal modeling Long-term monitoring Fisheries Chemical Management Monitoring Policy and Law 010603 evolutionary biology 01 natural sciences Delta—generalized linear mixed models Time series anomalies Spatio-Temporal Analysis Ecosystem model Water Pollution Chemical Animals Humans Water Pollutants Petroleum Pollution Population dynamics of fisheries Life Below Water Shellfish General Environmental Science Gulf of Mexico Delta-generalized linear mixed models 010604 marine biology & hydrobiology Water Pollution Fishes General Medicine Louisiana Pollution Oceanography Disturbance (ecology) Seafood Monitoring data Deepwater horizon Oil spill Deepwater Horizon oil spill Environmental science Spatial variability Fisheries modeling Environmental Sciences Water Pollutants Chemical Environmental Monitoring |
| Zdroj: | Environmental monitoring and assessment, vol 190, iss 9 |
| ISSN: | 1573-2959 |
| Popis: | Quantifying the impacts of disturbances such as oil spills on marine species can be challenging. Natural environmental variability, human responses to the disturbance (e.g., fisheries closures), the complex life histories of the species being monitored, and limited pre-spill data can make detection of effects of oil spills difficult. Using long-term monitoring data from the state of Louisiana (USA), we applied novel spatiotemporal approaches to identify anomalies in species occurrence and catch rates. We included covariates (salinity, temperature, turbidity) to help isolate unusual events. While some species showed evidence of unlikely temporal anomalies in occurrence or catch rates, we found that the majority of the observed anomalies were also before the Deepwater Horizon event. Several species-gear combinations suggested upticks in the spatial variability immediately following the spill, but most species indicated no trend. Across species-gear combinations, there was no clear evidence for synchronous or asynchronous responses in occurrence or catch rates across sites following the spill. Our results are in general agreement to other analyses of monitoring data that detected small impacts, but in contrast to recent results from ecological modeling that showed much larger effects of the oil spill on fish and shellfish. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink