Martha Dellar

ORCID: 0000-0003-1044-4265
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About
Contact & Profiles
Research Areas
  • Viral Infections and Vectors
  • Mosquito-borne diseases and control
  • Vector-Borne Animal Diseases
  • Zoonotic diseases and public health
  • Species Distribution and Climate Change
  • Animal Disease Management and Epidemiology
  • Physiological and biochemical adaptations
  • Agroforestry and silvopastoral systems
  • Insect Utilization and Effects
  • Dengue and Mosquito Control Research
  • Ruminant Nutrition and Digestive Physiology
  • Plant responses to elevated CO2
  • Forest Insect Ecology and Management
  • Viral Infections and Outbreaks Research
  • Horticultural and Viticultural Research
  • Economic and Environmental Valuation
  • Climate Change and Health Impacts
  • Plant and Fungal Interactions Research
  • Sustainable Agricultural Systems Analysis
  • Malaria Research and Control
  • Soil Carbon and Nitrogen Dynamics
  • Animal Ecology and Behavior Studies
  • Fish Ecology and Management Studies
  • Agriculture Sustainability and Environmental Impact
  • Land Use and Ecosystem Services

Deltares
2022-2025

Leiden University
2022-2024

Scotland's Rural College
2018-2019

Roslin Institute
2018-2019

University of Edinburgh
2018-2019

King's College Hospital
2018

Teagasc - The Irish Agriculture and Food Development Authority
2018

Agri Food and Biosciences Institute
2018

Government of Nepal
2018

University College Dublin
2018

As has been widely reported, climate change will be felt throughout Europe, though effects are likely to vary dramatically across European regions. While all areas expected experience elevated atmospheric CO2 concentrations (↑C) and higher temperatures (↑T), the north east get considerably wetter (↑W) while south much drier (↓W). It is that these changes have an impact on pastures consequently grazing livestock. This study aims evaluate pasture yield quality caused by ↑C, ↑T, ↑W ↓W different...

10.1016/j.agee.2018.06.029 article EN cc-by Agriculture Ecosystems & Environment 2018-07-07

The incidence and risk of mosquito-borne disease outbreaks in Northwestern Europe has increased over the last few decades. Understanding underlying environmental drivers mosquito population dynamics helps to adequately assess risk. While previous studies have focussed primarily on effects climatic conditions (i.e., temperature precipitation) and/or local individually, it remains unclear how interact with factors such as land use soil type, these subsequently affect abundance. Here, we set...

10.1016/j.onehlt.2023.100589 article EN cc-by One Health 2023-06-21

Abstract The world is changing, in terms of both climate and socio-economics. These changes have the potential to a profound impact on health humans, animals environment, often grouped together as ‘One Health’. Humans, environment are closely interlinked determine realistic future vulnerabilities we must consider everything together. We need comprehensive scenarios which cover broad range variables affecting One Health. developed methodology create national-level Health based global Shared...

10.1007/s10113-023-02169-1 article EN cc-by Regional Environmental Change 2024-01-18

Abstract Background There is an urgent need for cities to become more climate resilient; one of the key strategies include green spaces in urban environment. Currently, there a worry that increasing might increase mosquito nuisance. As such, this study explores comprehensive understanding how mosquitoes utilise contrasting grey and habitats at different life stages which environmental factors could drive these distributions. Methods We used setup six paired locations, park (green) vs....

10.1186/s13071-024-06120-z article EN cc-by Parasites & Vectors 2024-01-29

The expanding geographical spread of mosquito-borne diseases (MBDs) has intensified the need for effective mosquito surveillance. Additional surveillance, particularly species such as Culex pipiens, is essential this a key vector West Nile and Usutu viruses. Citizen science offers an innovative approach to monitoring Cx. pipiens populations. Our study utilized data from Mosquito Alert mobile app model spatial distribution abundance bites during summer 2021 in Netherlands. Using generalized...

10.1186/s13071-025-06774-3 article EN cc-by Parasites & Vectors 2025-04-30

Mosquito-borne diseases are on the rise. While climatic factors have been linked to disease occurrences, they do not explain non-random spatial distribution in outbreaks. Landscape-related factors, such as vegetation structure, likely play a crucial but hitherto unquantified role. We explored how three critically important that associated with mosquito-borne outbreaks: microclimate, mosquito abundance and bird communities, vary at landscape scale. compared co-occurrence of these two...

10.1186/s13071-024-06239-z article EN cc-by Parasites & Vectors 2024-03-26

Abstract Wild birds serve as reservoirs and vectors for many different pathogens changes in their distribution abundance due to environmental change will influence disease risk. We study three species which are highly abundant north-western Europe can transmit a wide range of diseases including avian influenza West Nile virus: blackbirds, mallards house sparrows. Using the Netherlands case study, we created random forest models predicting these species, both now future. Climate, land use...

10.1101/2024.10.14.617534 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-10-16

<title>Abstract</title> <italic>Background: </italic>The world is experiencing rapid anthropogenic-driven changes in climate, biodiversity, and pollution. While most insect species are declining due to these changes, disease-transmitting mosquitoes, might thrive. However, the quantitative impacts of on mosquito populations not well understood. Our study aims evaluate individual combined effects climate land use/cover related factors potential future spatiotemporal distribution <italic>Culex...

10.21203/rs.3.rs-5298493/v1 preprint EN cc-by Research Square (Research Square) 2024-11-04

ABSTRACT Aedes vexans (Meigen, 1830) is a floodwater mosquito species that may cause significant nuisance and can serve as vector for multiple arboviruses. Its distribution expected to shift in the future result of changes climate land use. Understanding these shifts important estimating disease risk. This study aims identify habitat suitability probability occurrence A. . Using Netherlands case study, we utilised an dataset generated by Centre Monitoring Vectors. We employed auto machine...

10.1111/jen.13371 article EN cc-by Journal of Applied Entomology 2024-11-08

Abstract To enable detailed study of a wide variety future health challenges, we have created land use maps for the Netherlands 2050, based on Dutch One Health Shared Socio-economic Pathways (SSPs). This was done using DynaCLUE modelling framework. Future is altitude, soil properties, groundwater, salinity, flood risk, agricultural price, distance to transport hubs and climate. We also account anticipated demand different types, historic changes potential spatial restrictions. These can be...

10.1038/s41597-024-04059-5 article EN cc-by Scientific Data 2024-11-16

Abstract Mesocosm experiments enable researchers to study animal dynamics, but determining accurate estimates of survival and development rates different life stages can be difficult, especially as the subjects may hard sample mortality high. We propose a new methodology for estimating such parameters. used an experimental set‐up with 48 aquatic mesocosms, each 20 first instar mosquito larvae under 1 12 treatments varying temperatures nutrient concentrations. took daily subsamples well...

10.1111/2041-210x.13814 article EN cc-by Methods in Ecology and Evolution 2022-02-03

We applied two approaches to model grassland yield and nitrogen (N) content. The first was a series of regression equations; the second Century dynamic model. generated from data eighty-nine experimental sites across Europe, distinguishing between five climatic regions. six these Both estimated mean yields N content reasonably well, though root squared error tended be lower for achieved better correlations observed predicted values. models were more sensitive uncertainties in weather than...

10.1016/j.envsoft.2019.104562 article EN cc-by Environmental Modelling & Software 2019-10-14

Abstract Disentangling contributions of different hosts to disease emergence and spread is highly complex, but critical for improving predictions, surveillance, response. This particularly challenging in wildlife, with pathogens often infecting multiple species data collection being difficult. Using the Usutu virus (USUV) Netherlands as a case study, we demonstrate use an Approximate Bayesian Computation framework on diverse sources uncover hidden drivers spatio-temporal wildlife emergence....

10.1101/2024.12.17.628855 preprint EN cc-by-nc-nd bioRxiv (Cold Spring Harbor Laboratory) 2024-12-20
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