Publications by authors named "Alan D Fox"

Ecosystem connectivity is an essential consideration for marine spatial planning of competing interests in the deep sea. Immobile, adult communities are connected through freely floating larvae, depending on new recruits for their health and to adapt to external pressures. We hypothesize that the vertical swimming ability of deep-sea larvae, before they permanently settle at the bottom, is one way larvae can control dispersal.

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Highly connected networks generally improve resilience in complex systems. We present a novel application of this paradigm and investigated the potential for anthropogenic structures in the ocean to enhance connectivity of a protected species threatened by human pressures and climate change. Biophysical dispersal models of a protected coral species simulated potential connectivity between oil and gas installations across the North Sea but also metapopulation outcomes for naturally occurring corals downstream.

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Article Synopsis
  • International efforts aim to create marine protected areas (MPAs) covering at least 10% of the ocean by 2020, but understanding of ocean ecosystem connectivity is limited.
  • A study using a particle tracking model over 40 years found that larval dispersal for cold-water corals in the northeast Atlantic is significantly influenced by the North Atlantic Oscillation (NAO), affecting network connectivity.
  • Results indicate that atmospheric conditions can greatly alter the effectiveness of the MPA network, highlighting vulnerabilities and the importance of specific geographic features like seamounts for maintaining larval supply and habitat connectivity.
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Accuracy of prediction was analyzed for 17- and 30-day rain forecasts at two locations in the Columbia Basin to determine whether forecasts were sufficiently accurate to be included as a model component to schedule fungicide applications for potato late blight. Accuracy was partitioned into specificity (percentage of forecasted nonrainfall events classified correctly) and sensitivity (percentage of forecasted daily rainfall events classified correctly). An adjusted sensitivity, which included the forecasted rain day plus the next 2 days, was also used to give a wider target than only 1 day for evaluating accuracy of forecasted rain events.

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