2021
DOI: 10.1128/msystems.01106-21
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The Future Is Big—and Small: Remote Sensing Enables Cross-Scale Comparisons of Microbiome Dynamics and Ecological Consequences

Abstract: Coupling remote sensing with microbial omics-based approaches provides a promising new frontier for scientists to scale microbial interactions across space and time. These data-rich, interdisciplinary methods allow us to better understand interactions between microbial communities and their environments and, in turn, their impact on ecosystem structure and function.

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Cited by 9 publications
(9 citation statements)
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References 67 publications
(136 reference statements)
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“…There is an urgent need for innovative research that spans disciplines and approaches to sustain global seagrass meadows (Tarquinio et al, 2019; Trevathan‐Tackett et al, 2019). For example, coupling microbial omics‐based tools and remote sensing approaches may allow for accurate predictions of climate‐driven microbial shifts and disease outbreaks, which could have ecosystem‐wide impacts (Beatty et al, 2021). Fundamental research identifying beneficial and antagonistic microbes—and their functions and interactions with pathogens—are crucial before these applications can be fully realized for the eelgrass‐Lz and other marine systems (Bentzon‐Tilia et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…There is an urgent need for innovative research that spans disciplines and approaches to sustain global seagrass meadows (Tarquinio et al, 2019; Trevathan‐Tackett et al, 2019). For example, coupling microbial omics‐based tools and remote sensing approaches may allow for accurate predictions of climate‐driven microbial shifts and disease outbreaks, which could have ecosystem‐wide impacts (Beatty et al, 2021). Fundamental research identifying beneficial and antagonistic microbes—and their functions and interactions with pathogens—are crucial before these applications can be fully realized for the eelgrass‐Lz and other marine systems (Bentzon‐Tilia et al, 2016).…”
Section: Discussionmentioning
confidence: 99%
“…• Within the aquatic sciences, there is a need to develop and utilize crossecosystem approaches for monitoring freshwater and marine environments, including but not limited to: water probes and sensors, autonomous vehicles and floats, computer programming and machine learning, 'omics approaches, and remote-sensing (Beatty et al 2021).…”
Section: Mentorship and Collaborationmentioning
confidence: 99%
“…Eco‐DAS helps develop professional networks, skills, and collaborations among the next generation of scientists. The Eco‐DAS requirement that participants develop interdisciplinary projects fosters continued collaboration beyond the one week symposium. New tools for aquatic monitoring Within the aquatic sciences, there is a need to develop and utilize cross‐ecosystem approaches for monitoring freshwater and marine environments, including but not limited to: water probes and sensors, autonomous vehicles and floats, computer programming and machine learning, 'omics approaches, and remote‐sensing (Beatty et al 2021). New tools have already been developed in marine ecosystems and are increasingly applied and adopted within freshwater sciences (e.g., Bagshaw et al 2021).…”
Section: Key Challenges Needs and Priorities For The Aquatic Sciencesmentioning
confidence: 99%
“…Throughout the week of discussions and presentations, early-career researchers identified seven recurring themes as priorities for the aquatic sciences: • Within the aquatic sciences, there is a need to develop and utilize crossecosystem approaches for monitoring freshwater and marine environments, including but not limited to: water probes and sensors, autonomous vehicles and floats, computer programming and machine learning, 'omics approaches, and remote-sensing (Beatty et al 2021). • New tools have already been developed in marine ecosystems and are increasingly applied and adopted within freshwater sciences (e.g., Bagshaw et al 2021).…”
Section: Key Challenges Needs and Priorities For The Aquatic Sciencesmentioning
confidence: 99%