Automating MBARI's midwater time-series video surveys: The transition from ROV to AUV

Reisenbichler, Kim R.; Chaffey, M.; Cazenave, François; McEwen, R.; Henthorn, R.; Sherlock, Rob E.; Robison, Bruce H.

doi:10.1109/oceans.2016.7761499

Cited by 23 publications

(20 citation statements)

References 6 publications

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“…Increased investments in biodiversity monitoring and earth observation systems are fundamental for advancing the analyses presented here. These investments should maintain and upgrade existing data streams and pipelines [e.g., remote sensing and biotelemetry, 62,63], encourage promising emerging technologies [e.g., environmental DNA, 64,65], and invest in autonomous and networked environmental sensing [66][67][68]. In particular, mechanistic and probabilistic models of species distributions will be improved by technological advances in biologging and tracking [63,69,70] that facilitate biodiversity monitoring and resolving the processes underlying species movements.…”

Section: Resultsmentioning

confidence: 99%

Towards a global understanding of the drivers of marine and terrestrial biodiversity

et al. 2020

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Understanding the distribution of life's variety has driven naturalists and scientists for centuries, yet this has been constrained both by the available data and the models needed for their analysis. Here we compiled data for over 67,000 marine and terrestrial species and used artificial neural networks to model species richness with the state and variability of climate, productivity, and multiple other environmental variables. We find terrestrial diversity is better predicted by the available environmental drivers than is marine diversity, and that marine diversity can be predicted with a smaller set of variables. Ecological mechanisms such as geographic isolation and structural complexity appear to explain model residuals and also identify regions and processes that deserve further attention at the global scale. Improving estimates of the relationships between the patterns of global biodiversity, and the environmental mechanisms that support them, should help in efforts to mitigate the impacts of climate change and provide guidance for adapting to life in the Anthropocene.

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Section: Resultsmentioning

confidence: 99%

Towards a global understanding of the drivers of marine and terrestrial biodiversity

et al. 2020

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“…Reducing the costs of fielding an automated video transecting system should facilitate technology transfer, so that other institutions can conduct midwater surveys to suit their interests, or generate comparable data from their own regions, and contrast them with the reference community in Monterey Bay. It will also allow MBARI to expand its regional midwater survey coverage beyond our single site (Reisenbichler et al, 2016).…”

Section: Looking Forwardmentioning

confidence: 99%

The Coevolution of Midwater Research and ROV Technology at MBARI

Robison¹,

Mbari²,

Reisenbichler³

et al. 2017

Oceanog

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“…Likewise, learning the avoidance tactics of prey species will help us to anticipate the effects of shifting predator populations in the face of unbridled exploitation. Looking forward, the advent of autonomous vehicles is providing extended dive time for day/night comparisons of DVM (Reisenbichler et al, 2016) and promises to expand the scope of in situ investigations to mesoscale levels. These perspectives will become increasingly important as we strive to understand and measure (and consider exploiting) DVM, an enormous energyexchange process in the changing global ocean.…”

Section: Discussionmentioning

confidence: 99%

Running the Gauntlet: Assessing the Threats to Vertical Migrators

et al. 2020

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Diel vertical migrations (DVM) by zooplankton and nekton are driven by the selective advantage of avoiding visually cued predators near the surface during the hours of daylight. And just as there is a second set of predators that occupy the migrators' dark daytime depths, there is also a diverse suite of predators that comprise a gauntlet of threats during the migrations. Here we examine these migrations from the perspective of the migrators, to enumerate the kinds of predatory threats they face and to assess the threat potential of various predator types. The study is based on thousands of hours of in situ observations and measurements of the mesopelagic community in Monterey Bay, California, conducted chiefly by remotely operated vehicles (ROVs). We provide accounts of some predator/prey interactions, and we introduce a means to calculate the threat potential of specific predators, based on MBARI's long-term time-series of quantitative video surveys.

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Automating MBARI's midwater time-series video surveys: The transition from ROV to AUV

Cited by 23 publications

References 6 publications

Towards a global understanding of the drivers of marine and terrestrial biodiversity

Towards a global understanding of the drivers of marine and terrestrial biodiversity

The Coevolution of Midwater Research and ROV Technology at MBARI

Running the Gauntlet: Assessing the Threats to Vertical Migrators

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