Ricardo Oliveros‐Ramos

ORCID: 0000-0002-8069-2101
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About
Contact & Profiles
Research Areas
  • Marine and fisheries research
  • Marine Bivalve and Aquaculture Studies
  • Coral and Marine Ecosystems Studies
  • Data Analysis with R
  • Marine and coastal ecosystems
  • Isotope Analysis in Ecology
  • Ocean Acidification Effects and Responses
  • Climate variability and models
  • Evolutionary Game Theory and Cooperation
  • Fish Ecology and Management Studies
  • Evolution and Genetic Dynamics
  • demographic modeling and climate adaptation
  • Marine animal studies overview
  • Climate Change Policy and Economics
  • Oceanographic and Atmospheric Processes
  • Avian ecology and behavior
  • Aquatic Invertebrate Ecology and Behavior
  • Species Distribution and Climate Change
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Aquaculture Nutrition and Growth
  • Fish biology, ecology, and behavior
  • Sensor Technology and Measurement Systems
  • Outsourcing and Supply Chain Management
  • Soil Geostatistics and Mapping
  • Advanced Data Processing Techniques

Institut de Recherche pour le Développement
2014-2025

Ifremer
2019-2025

Centre National de la Recherche Scientifique
2023-2025

Marine Biodiversity Exploitation and Conservation
2015-2025

Université de Montpellier
2023-2025

Instituto del Mar del Peru
2015-2025

University of Cape Town
2015-2025

Stockholm University
2024

University of Tasmania
2024

Centre for Marine Socioecology
2024

While the physical dimensions of climate change are now routinely assessed through multimodel intercomparisons, projected impacts on global ocean ecosystem generally rely individual models with a specific set assumptions. To address these single-model limitations, we present standardized ensemble projections from six marine forced two Earth system and four emission scenarios without fishing. We derive average biomass trends associated uncertainties across food web. Without fishing, mean...

10.1073/pnas.1900194116 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2019-06-11

Abstract As the urgency to evaluate impacts of climate change on marine ecosystems increases, there is a need develop robust projections and improve uptake ecosystem model outputs in policy planning. Standardizing input output data crucial step evaluating communicating results, but can be challenging when using models with diverse structures, assumptions, that address region‐specific issues. We developed an implementation framework workflow standardize fishing forcings used by regional...

10.1029/2024ef004826 article EN cc-by-nc-nd Earth s Future 2025-02-01

Abstract. Model intercomparison studies in the climate and Earth sciences communities have been crucial to building credibility coherence for future projections. They quantified variability among models, spurred model development, contrasted within- among-model uncertainty, assessed fits historical data, provided ensemble projections of change under specified scenarios. Given speed magnitude anthropogenic marine environment consequent effects on food security, biodiversity, industries,...

10.5194/gmd-11-1421-2018 article EN cc-by Geoscientific model development 2018-04-13

There is an urgent need for models that can robustly detect past and project future ecosystem changes risks to the services they provide people. The Fisheries Marine Ecosystem Model Intercomparison Project (FishMIP) was established develop model ensembles projecting long-term impacts of climate change on fisheries marine ecosystems while informing policy at spatio-temporal scales relevant Inter-Sectoral Impact (ISIMIP) framework. While contributing FishMIP have improved over time, large...

10.22541/essoar.170594183.33534487/v1 preprint EN cc-by Authorea (Authorea) 2024-01-22

Climate change is affecting ocean temperature, acidity, currents, and primary production, causing shifts in species distributions, marine ecosystems, ultimately fisheries. Earth system models simulate climate impacts on physical biogeochemical properties of future oceans under varying emissions scenarios. Coupling these simulations with an ensemble global ecosystem indicates decreasing fish biomass warming. However, regional projections remain much more uncertain. Here, we employ CMIP5 CMIP6...

10.22541/essoar.171535471.19954011/v1 preprint EN cc-by Authorea (Authorea) 2024-05-10

In marine ecosystems top predator populations are shaped by environmental factors affecting their prey abundance. Coupling predators’ population studies with independent records of abundance suggests that fluctuations affect fecundity parameters and predators. However, may be abundant but inaccessible to predators a major challenge is determine the relative importance accessibility in shaping seabird populations. addition, disentangling effects from removal fisheries, while accounting for...

10.1111/ecog.02485 article EN Ecography 2017-09-07

Systematic analyses that examine uncertainty in models are essential for assessing their credibility. In this study, we implemented an analysis quantifies the effect of parameter on a set ecological indicators outputs marine ecosystem OSMOSE model applied to northern Peru Current (NPCE OSMOSE). We worked under simple assumptions corresponding ranges 10, 20, and 30% variability around reference values parameters describing dynamics species modelled NPCE OSMOSE. The results based nearly 1.5...

10.3354/meps14465 article EN Marine Ecology Progress Series 2024-07-30

As the urgency to evaluate impacts of climate change on marine ecosystems increases, there is a need develop robust projections and improve uptake ecosystem model outputs in policy planning. Standardising input output data crucial step evaluating communicating results, but can be challenging when using models with diverse structures, assumptions, that address region-specific issues. We developed an implementation framework workflow standardise fishing forcings used by regional contributing...

10.22541/essoar.171587234.44707846/v1 preprint EN cc-by Authorea (Authorea) 2024-05-16

Abstract There is an urgent need for models that can robustly detect past and project future ecosystem changes risks to the services they provide people. The Fisheries Marine Ecosystem Model Intercomparison Project (FishMIP) was established develop model ensembles projecting long‐term impacts of climate change on fisheries marine ecosystems while informing policy at spatio‐temporal scales relevant Inter‐Sectoral Impact (ISIMIP) framework. While contributing FishMIP have improved over time,...

10.1029/2023ef004402 article EN cc-by Earth s Future 2024-12-01

Abstract The fitting or parameter estimation of complex ecological models is a challenging optimisation task, with notable lack tools for complex, long runtime stochastic models. calibrar an R package that dedicated to the data. It generic tool can be used any type model, especially those non‐differentiable objective functions and runtime, including individual agent based supports multiple phases constrained optimisation, includes 20 algorithms, derivative‐based heuristic ones....

10.1111/2041-210x.14452 article EN cc-by-nc Methods in Ecology and Evolution 2025-02-05

Abstract Climate change is affecting ocean temperature, acidity, currents, and primary production, causing shifts in species distributions, marine ecosystems, ultimately fisheries. Earth system models simulate climate impacts on physical biogeochemical properties of future oceans under varying emissions scenarios. Coupling these simulations with an ensemble global ecosystem has indicated broad decreases fish biomass warming. However, regional details remain much more uncertain. Here, we...

10.1029/2024ef005537 article EN cc-by-nc-nd Earth s Future 2025-03-01

The development of offshore windfarms (OWF) is crucial for the energy transition to achieve decarbonisation targets. However, ecological effects this expansion remain largely unexplored. This study use OSMOSE model investigate potential impacts OWF in Eastern English Channel (EEC) ecosystem. primary objective 1) improve assessment on ecosystems by integrating multiple pressures within a single modelling framework, and 2) analyse ecosystem responses under various deployment fishing...

10.5194/oos2025-643 preprint EN 2025-03-25

As we move into the digital age, concept of a twin ocean - virtual replica that integrates real-time data, environmental conditions and ecosystem dynamics holds transformative potential for science resource management. Digital twins promise to provide unprecedented insight processes, supporting scenario testing, predictive modelling adaptive However, while their value marine management is compelling, integration fisheries applications, such as Management Strategy Evaluation (MSE), presents...

10.5194/oos2025-1504 preprint EN 2025-03-26

Abstract Ecosystem‐based management of fisheries aims to allow sustainable use fished stocks while keeping impacts upon ecosystems within safe ecological limits. Both the FAO Code Conduct for Responsible Fisheries and Aichi Biodiversity Targets promote these aims. We evaluate implementation ecosystem‐based in six case‐study which potential indirect bird or mammal predators are well publicized studied. In particular, we consider components needed enable strategies respond information from...

10.1111/faf.12434 article EN cc-by Fish and Fisheries 2020-01-06

Abstract. Model intercomparison studies in the climate and earth sciences communities have been crucial to build credibility coherence for future projections. They quantified variability among models, spurred model development, contrasted within- among-model uncertainty, assessed fits historical data, provided ensemble projections of change under specified scenarios. Given speed magnitude anthropogenic marine environment, consequent effects on food security, biodiversity, industries society,...

10.5194/gmd-2017-209 preprint EN cc-by 2017-10-06
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