Coastal oceanographic connectivity at the global scale: a dataset of pairwise probabilities and travel times derived from biophysical modeling
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View abstract on PubMed
Summary
This summary is machine-generated.This study introduces the first global dataset of ocean current connectivity, crucial for understanding marine biodiversity and informing conservation. It provides probability of connectivity and travel time, aiding research on species dispersal and ecosystem resilience.
Area Of Science
- Marine Ecology
- Oceanography
- Conservation Biology
Background
- Ocean currents significantly influence marine biodiversity distribution and genetic exchange.
- Understanding oceanographic connectivity is vital for species dispersal, expansion, and resilience, especially concerning climate change.
- Existing global estimates of oceanographic connectivity are limited, hindering ecological and conservation efforts.
Purpose Of The Study
- To present the first comprehensive global dataset of ocean connectivity estimates, including probability of connectivity and travel time.
- To provide a tool (coastalNet R package) for accessing, analyzing, and visualizing these connectivity data.
- To establish a new benchmark for research into coastal marine ecosystem dynamics and conservation.
Main Methods
- Utilized Lagrangian simulations of passive dispersal based on 21 years of ocean current data.
- Developed a global dataset of connectivity estimates along world coastlines.
- Created the coastalNet R package for streamlined data access and analysis.
Main Results
- Generated the first global dataset quantifying oceanographic connectivity (probability and travel time).
- The dataset integrates with species' biological traits for nuanced dispersal analysis.
- The coastalNet R package facilitates user-friendly access and visualization of connectivity data.
Conclusions
- The new dataset and R package offer unprecedented insights into marine species dispersal and connectivity.
- This resource will advance research on coastal marine ecosystems and support the development of effective conservation strategies.
- Enables deeper exploration of marine biodiversity distribution and resilience under changing oceanographic conditions.
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