Francesco Masnadi

ORCID: 0000-0003-0673-178X
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About
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Research Areas
  • Marine and fisheries research
  • Marine Bivalve and Aquaculture Studies
  • Fish Ecology and Management Studies
  • Coral and Marine Ecosystems Studies
  • Aquaculture Nutrition and Growth
  • Isotope Analysis in Ecology
  • Identification and Quantification in Food
  • Species Distribution and Climate Change
  • Marine Biology and Ecology Research

Stockholm University
2024

National Research Council
2020-2023

Institute for Marine Biological Resources and Biotechnology
2021-2023

University of Bologna
2020-2023

Consorzio per il Centro Interuniversitario di Biologia Marina ed Ecologia Applicata G. Bacci
2018

Abstract Spatial fisheries management is widely used to reduce overfishing, rebuild stocks, and protect biodiversity. However, the effectiveness optimization of spatial measures depend on accurately identifying ecologically meaningful areas, which can be difficult in mixed fisheries. To apply a method generally range target species, we developed an ensemble species distribution models (e‐SDM) that combines general additive models, generalized linear random forest, gradient‐boosting machine...

10.1111/faf.12802 article EN cc-by-nc-nd Fish and Fisheries 2023-11-15

Investigating marine species population structure in a multidisciplinary framework can reveal signatures of potential local adaptation and the consequences for management conservation. In this study we delineate common sole ( Solea solea ) Mediterranean Sea using genomic otolith data, based on single nucleotide polymorphism (SNPs) markers, shape trace element composition data. We correlated SNPs with environmental spatial variables to evaluate impact selected features actual structure....

10.3389/fmars.2024.1372743 article EN cc-by Frontiers in Marine Science 2024-05-01

Information on stock status is available only for a few of the species forming catch assemblage rapido fishery North-central Adriatic Sea (Mediterranean Sea). Species that are caught almost exclusively by this gear, either as target (such Pectinidae ) or accessory catches flatfishes apart from common sole), remain unassessed mainly due to lack data and biological information. Based cluster analysis, was identified assessed using CMSY model. The results data-poor methodology showed that,...

10.3389/fmars.2021.552076 article EN cc-by Frontiers in Marine Science 2021-06-22

The COVID-19 pandemic had major impacts on the seafood supply chain, also reducing fishing activity. It is worth asking if fish stocks in Mediterranean Sea, which most cases have been overfishing conditions for many years, may benefitted from reduction pressure. present work first attempt to make a quantitative evaluation of effort due and, consequently, its impact stocks, focusing Adriatic Sea subareas. Eight commercially exploited target (common sole, common cuttlefish, spottail mantis...

10.3389/fmars.2022.920974 article EN cc-by Frontiers in Marine Science 2022-10-10

Many key ecological dynamics such as biomass distributions are only detectable on a fine spatiotemporal scale. Autonomous data collection with Unmanned Surface Vehicles (USV) creates new possibilities to sample aquatic high resolution over large areas by being cost efficient. However, the extent of spatial coverage and final sampling remain uncertain due novelty technology. Further, there is no established method for analysing fine-scale autocorrelated without aggregation, compromising...

10.2139/ssrn.4808045 preprint EN 2024-01-01

The status of fishery resources in the Mediterranean Sea is critical: most fish and shellfish stocks are overexploitation only half them routinely assessed. This manuscript presents use Surplus Production Models (SPMs) as a valid option to increase number assessed stocks, with specific attention Adriatic basin. Particularly, stock European sprat ( Sprattus sprattus ), horse mackerel Trachurus mediterraneus Atlantic trachurus ) living have been evaluated comparing three SPMs: Catch Maximum...

10.3389/fmars.2021.728948 article EN cc-by Frontiers in Marine Science 2021-11-23

International scientific fishery survey programmes systematically collect samples of target stocks’ biomass and abundance use them as the basis to estimate stock status in framework assessment models. The research surveys can also inform decision makers about Essential Fish Habitat conservation help define harvest control rules based on direct observation at sea. However, missed locations over years are common long-term programme data. Currently, modelling approaches filling gaps...

10.3389/fmars.2022.919339 article EN cc-by Frontiers in Marine Science 2022-07-12

Traditionally, growth patterns are described as constant throughout life using von Bertalanffy's equation. However, a change in due to reallocation of energy during an individual's lifespan is be expected. Following this hypothesis, back-calculation measurements obtained from SoleMon survey data were used fit and compare monophasic biphasic curves for common sole the northern central Adriatic Sea. Moreover, individual variability was considered through nonlinear mixed-effect models which...

10.1016/j.fishres.2023.106694 article EN cc-by Fisheries Research 2023-03-30

Abstract Fishery discard survival depends on multiple conditions; caution is essential when study outputs are employed to support management decisions. The presents a stepwise procedure, devised estimate survival, that accounts for the variability characterizing commercial fishing practices. procedure was applied first performed onboard rapido trawlers targeting Solea solea in Mediterranean Sea. Undersized specimens collected during sorting were assessed vitality; some retained captive...

10.1093/icesjms/fsaa128 article EN ICES Journal of Marine Science 2020-07-01

Marine species distribution models are largely used in ecology and fishery science to support the management of marine exploited resources. This study was focused on defining a procedure develop an ensemble model, combining 5 differents modeling approaches. For each approach, we implemented spatial training test data set evaluate best performance 9 through indicators. These include different combination covariates, starting with simplest model (depth, year, spatiotemporal variables) most...

10.1109/metrosea52177.2021.9611559 article EN 2021-10-04
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