Your browser doesn't support javascript.
loading
Using deep-sea images to examine ecosystem services associated with methane seeps.
Le, Jennifer T; Girguis, Peter R; Levin, Lisa A.
Affiliation
  • Le JT; Center for Marine Biodiversity and Conservation, Scripps Institution of Oceanography, University of California San Diego, La Jolla, 92093, USA. Electronic address: jtl025@ucsd.edu.
  • Girguis PR; Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, 02138, USA.
  • Levin LA; Center for Marine Biodiversity and Conservation, Scripps Institution of Oceanography, University of California San Diego, La Jolla, 92093, USA.
Mar Environ Res ; 181: 105740, 2022 Nov.
Article in En | MEDLINE | ID: mdl-36155343
Deep-sea images are routinely collected during at-sea expeditions and represent a repository of under-utilized knowledge. We leveraged dive videos collected by the remotely-operated vehicle Hercules (deployed from E/V Nautilus, operated by the Ocean Exploration Trust), and adapted biological trait analysis, to develop an approach that characterizes ecosystem services. Specifically, fisheries and climate-regulating services related to carbon are assessed for three southern California methane seeps: Point Dume (∼725 m), Palos Verdes (∼506 m), and Del Mar (∼1023 m). Our results enable qualitative intra-site comparisons that suggest seep activity influences ecosystem services differentially among sites, and site-to-site comparisons that suggest the Del Mar site provides the highest relative contributions to fisheries and carbon services. This study represents a first step towards ecosystem services characterization and quantification using deep-sea images. The results presented herein are foundational, and continued development should help guide research and management priorities by identifying potential sources of ecosystem services.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Methane Type of study: Qualitative_research / Risk_factors_studies Language: En Journal: Mar Environ Res Journal subject: BIOLOGIA / SAUDE AMBIENTAL / TOXICOLOGIA Year: 2022 Document type: Article Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ecosystem / Methane Type of study: Qualitative_research / Risk_factors_studies Language: En Journal: Mar Environ Res Journal subject: BIOLOGIA / SAUDE AMBIENTAL / TOXICOLOGIA Year: 2022 Document type: Article Country of publication: United kingdom