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https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918318_v1 https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_918318_v1.graph https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_918318_v1/ public [Edmunds et al. 2023 Oecologia: Seawater Temperature] - Benthic seawater temperature at 10m depth in Moorea, French Polynesia from 2005 to 2021 (Moorea Coral Reef Long-Term Ecological Research site) Data Abstract:\n\nBenthic seawater temperature from bottom-mounted thermistors deployed in Moorea, French Polynesia. \n These seawater temperature data support the temperature analysis in Edmunds et al. (2023).\n\n\nResults paper abstract, Edmunds et al. (2023) :\n* [See \"Related Datasets\" section for access to related datasets discussed here]\n\nUnderstanding population dynamics is a long-standing objective of ecology, but the need for progress in this area has become urgent. For coral reefs, achieving this objective is impeded by a lack of information on settlement versus post-settlement events in determining recruitment and population size. Declines in coral abundance are often inferred to be associated with reduced densities of recruits, which could arise from mechanisms occurring at larval settlement, or throughout post-settlement stages. This study uses annual measurements from 2008 to 2021 of coral cover, the density of coral settlers (S), the density of small corals (SC), and environmental conditions, to evaluate the roles of settlement versus post-settlement events in determining rates of coral recruitment and changes in coral cover at Moorea, French Polynesia. Coral cover, S, SC, and the SC:S ratio (a proxy for post-settlement success), and environmental conditions, were used in generalized additive models (GAMs) to show that: (a) coral cover was more strongly related to SC and SC:S than S, and (b) SC:S was highest when preceded by cool seawater, low concentrations of Chlorophyll a, and low flow speeds, and S showed evidence of declining with elevated temperature. Together, these results suggest that changes in coral cover in Moorea are more strongly influenced by post-settlement events than settlement. The key to understanding coral community resilience may lie in elucidating the factors attenuating the bottleneck between settlers and small corals.\n\ncdm_data_type = Other\nVARIABLES:\nSite (unitless)\nData_Source (unitless)\nISO_Date (unitless)\n... (4 more variables)\n https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_918318_v1/index.htmlTable https://www.bco-dmo.org/dataset/918318 (external link) https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_918318_v1.rss https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_918318_v1&showErrors=false&email= BCO-DMO bcodmo_dataset_918318_v1
log in [Metadata from meta-analysis on CovGE in phenotypic results] - Metadata for studies from meta-analysis investigating covariance between genetic and environmental (CovGE) effects in phenotypic results (RCN: Evolution in Changing Seas) Covariance can exist between the genetic and environmental influences on phenotype (CovGE) and can have an important role in ecological and evolutionary processes in nature and population responses to environmental change. CovGE is commonly called countergradient variation (CnGV; negative CovGE)or cogradient variation (CoGV; positive CovGE)and has been recognized in classic studies that have established several long-standing hypotheses about CnGV and CoGV. For instance, it is hypothesized that CnGV is more prevalent in nature than CoGV, that CnGV is more prevalent in fish, amphibian, and invertebrate taxa, across latitudinal or altitudinal environmental gradients, and more frequently occurs in metabolic compensation traits, including development, growth, feeding, metabolism, and activity, while CoGV is more commonly observed in morphological traits. The recent development of a standardized method to measure CovGE allows for the first rigorous quantitative exploration of these hypotheses. We use meta-analysis and apply the novel quantitative method to test whether the above hypotheses are supported in the literature. We found no differences in frequency of CnGV and CoGV, and no systematic patterns relative to taxa, environmental gradient, or trait type. However, our analyses suggest that CovGE may be as common as gene by environment (GxE) interactions. Given that CovGE is likely to have a strong impact on future outcomes for organisms experiencing environmental change, that significant CovGE occurred frequently, and the lack of systematic patterns in the occurrence of CovGE, we encourage a more widespread application of measuring CovGE.\n\ncdm_data_type = Other\nVARIABLES:\nSTUDY_ID (unitless)\nFirst_Author (unitless)\nData_file_name (unitless)\nG_match_E (unitless)\nnatural_env_type (unitless)\nGxE_sig (unitless)\nphylum_division (unitless)\ngenus (unitless)\nspecies (unitless)\ngen_number (unitless)\n... (19 more variables)\n BCO-DMO bcodmo_dataset_877414_v2

 
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