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Using MALDI-TOF mass spectrometry to identify ticks collected on domestic and wild animals from the Democratic Republic of the Congo
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RBINS Staff Publications 2021
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Using next-generation sequencing to improve DNA barcoding: lessons from a small-scale study of wild bee species (Hymenoptera, Halictidae)
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RBINS Staff Publications 2018
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Using self–organizing maps and machine learning models to assess mollusc community structure in relation to physicochemical variables in a West Africa river–estuary system
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RBINS Staff Publications 2021
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Using the automated HYPERNETS hyperspectral system for multimission satellite ocean colour validation in the Río de la Plata, accounting for different spatial resolutions
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RBINS Staff Publications 2024
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Utilitarian framings of biodiversity shape environmental impact assessment in development cooperation
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Biodiversity is under threat from anthropogenic pressures, in particular in biodiversity-rich developing countries. Development cooperation actors, who traditionally focus on the improvement of socio-economic conditions in the South, are increasingly acknowledging the linkages between poverty and biodiversity, e.g. by referring to the ecosystem services framework. However, there are many different framings which stress the need for biodiversity integration and which influence how biodiversity and development are and/or should be linked. Moreover, there is a gap between the lip service paid to biodiversity integration and the reality of development cooperation interventions. This study analyses how biodiversity framings are reflected in environmental impact assessment (EIA) practice, and how these framings influence EIA and decision-making. The findings, based on an in-depth qualitative analysis of World Bank EIAs undertaken in West Africa, indicate the incoherent quality but also the dominance of the‘utilitarian’ and‘corrective’ framings, which respectively stress human use of nature and mitigation of negative unintended development impacts. Identifying and highlighting these discursive trends leads to increased awareness of the importance of biodiversity among all development actors in North and South. However, some framings may lead to an overly narrow human-centred approach which downplays the intrinsic value of biodiversity. This study proposes recommendations for an improved integration of biodiversity in development cooperation, including the need for more systematic baseline studies in EIAs.
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RBINS Staff Publications 2017
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Utility of Classical a-Taxonomy for Biodiversity of Aquatic Nematodes
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RBINS Staff Publications
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Utility of GenBank and the Barcode of Life Data Systems (BOLD) for the identification of forensically important Diptera from Belgium and France
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RBINS Staff Publications
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Utilization of Cloud Computing for Water Quality Monitoring in the Northern Waters of Aceh
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Managing marine geographic information systems is crucial, especially with climate change and the rise of spatial big data. Cloud-based geospatial systems are essential for stakeholders needing quick decision-making in marine conservation. This study examines the capabilities of Google Earth Engine (GEE) in analyzing sea surface quality in the northern waters of Aceh (NWA). The results show GEE can access remote sensing datasets and reanalysis models to map temperature, salinity, and chlorophyll-a. Annual trends reveal lower salinity near the Malacca Strait and higher levels in the Indian Ocean and Andaman Sea. GEE supports proactive coastal ecosystem management, emphasizing the role of geospatial technology in marine conservation and civil engineering for climate-resilient coastal development.
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RBINS Staff Publications 2024
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Validating a biophysical dispersal model with the early life-history traits of common sole (Solea solea L.)
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Larval dispersal and juvenile survival are crucial in determining variation in recruitment, stock size and adult distribution of commercially important fish. This study investigates the dispersal of early-life stages of common sole (Solea solea L.) in the southern North Sea, both empirically and through modeling. Age at different life-history events of juvenile flatfish sampled along the coasts of Belgium, the Netherlands and the United Kingdom in 2013, 2014 and 2016, was determined through the counting of daily growth rings in the otoliths. Juveniles captured between August and October were estimated to be on average 140 days old with an average pelagic larval duration of 34 days. The hatching period was esti- mated between early April and mid-May followed by arrival and settlement in the nurseries between May and mid-June. Growth rates were higher off the Belgian coast than in the other nursery areas, especially in 2013, possibly due to a post-settlement differentiation. Empirical pelagic larval duration and settlement distributions were compared with the L AR- VAE &C O larval dispersal model, which combines local hydrodynamics in the North Sea with sole larval behavior. Yearly predicted and observed settlement matched partially, but the model estimated a longer pelagic phase. The observations fitted even better with the mod- elled average (1995–2015) distribution curves. Aberrant results for the small juvenile sole sampled along the UK coast in March 2016, led to the hypothesis of a winter disruption in the deposition of daily growth rings, potentially related to starvation and lower food availabil- ity. The similarities between measured and modelled distribution curves cross-validated both types of estimations and accredited daily ageing of juveniles as a useful method to cali- brate biophysical models and to understand early-life history of fish, both important tools in support of efficient fisheries management strategies.
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RBINS Staff Publications 2021
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Validating a biophysical dispersal model with the early life-history traits of common sole (Solea solea L.)
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Larval dispersal and juvenile survival are crucial in determining variation in recruitment, stock size and adult distribution of commercially important fish. This study investigates the dispersal of early-life stages of common sole (Solea solea L.) in the southern North Sea, both empirically and through modeling. Age at different life-history events of juvenile flatfish sampled along the coasts of Belgium, the Netherlands and the United Kingdom in 2013, 2014 and 2016, was determined through the counting of daily growth rings in the otoliths. Juveniles captured between August and October were estimated to be on average 140 days old with an average pelagic larval duration of 34 days. The hatching period was estimated between early April and mid-May followed by arrival and settlement in the nurseries between May and mid-June. Growth rates were higher off the Belgian coast than in the other nursery areas, especially in 2013, possibly due to a post-settlement differentiation. Empirical pelagic larval duration and settlement distributions were compared with the LARVAE&CO larval dispersal model, which combines local hydrodynamics in the North Sea with sole larval behavior. Yearly predicted and observed settlement matched partially, but the model estimated a longer pelagic phase. The observations fitted even better with the modelled average (1995–2015) distribution curves. Aberrant results for the small juvenile sole sampled along the UK coast in March 2016, led to the hypothesis of a winter disruption in the deposition of daily growth rings, potentially related to starvation and lower food availability. The similarities between measured and modelled distribution curves cross-validated both types of estimations and accredited daily ageing of juveniles as a useful method to calibrate biophysical models and to understand early-life history of fish, both important tools in support of efficient fisheries management strategies.
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RBINS Staff Publications 2020