
Coral Reefs, Год журнала: 2025, Номер unknown
Опубликована: Март 17, 2025
Язык: Английский
Coral Reefs, Год журнала: 2025, Номер unknown
Опубликована: Март 17, 2025
Язык: Английский
Journal of Environmental Management, Год журнала: 2021, Номер 295, С. 113209 - 113209
Опубликована: Июль 15, 2021
Язык: Английский
Процитировано
23Frontiers in Marine Science, Год журнала: 2021, Номер 8
Опубликована: Июль 15, 2021
Coral reefs across the world are undergoing rapid deterioration, and understanding ecological evolutionary processes that govern these ecosystems is critical to our ability protect them. Molecular studies have been instrumental in advancing such understanding, while initially focused primarily on broad-scale patterns, they gradually uncovered prevalence of local genetic structuring. Genome-wide sequencing approaches provided new opportunities understand both neutral adaptive contributions this largely unexplained diversity, but fine-scale assessments hampered by challenges associated with aquatic environments, terms (geo)referencing, seafloor characterization, situ phenotyping. Here, we discuss potential “reefscape genomics,” leveraging recent advances underwater imaging enable spatially explicit genomic coral reefs. More specifically, consider how (close-range) photogrammetry (1) spatial mapping benthic target organisms, (2) repeatable characterization abiotic biotic reefscape, (3) simultaneous mass-phenotyping. The consideration data –combined detailed environmental phenotypic characterization– opens up opportunity for landscape (and other marine ecosystems). Such assessment spatio-temporal drivers extensive structuring cryptic diversity encountered invertebrates, as reef-building corals. Considering threats facing worldwide, believe reefscape genomics represents a promising advancement molecular toolkit help inform can most effectively conserve restore reef into future.
Язык: Английский
Процитировано
21Environmental Biology of Fishes, Год журнала: 2022, Номер 105(8), С. 971 - 991
Опубликована: Июль 27, 2022
Язык: Английский
Процитировано
16Coral Reefs, Год журнала: 2025, Номер unknown
Опубликована: Янв. 16, 2025
Abstract Remote underwater videos (RUVs) are valuable for studying fish assemblages and behaviors, but analyzing them is time-consuming. To effectively extract data from RUVs while minimizing sampling errors, this study developed optimal subsampling strategies assessing relative abundance, richness, bite rates of corallivorous across eight geographically dispersed reef sites on the Great Barrier Reef in Torres Strait. Analyzing 40 frames per 60-min video yielded precise accurate estimates mean number individuals frame (i.e., MeanCount), with systematic (one every 90 s) proved as effective or better than random sampling, depending survey sites. However, approach underestimated species richness by ~ 40%, missing less common species. For estimating rates, 30 min 15 feeding events were optimal, no significant gains precision accuracy further effort. These enhance standardization process efficiency, reducing time required MeanCount rate nine two times, respectively, compared to full annotation.
Язык: Английский
Процитировано
0Coral Reefs, Год журнала: 2025, Номер unknown
Опубликована: Март 17, 2025
Язык: Английский
Процитировано
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