Robin J. Boyd
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View article: Challenges in Modelling Spatio‐Temporal Climatic Correlates of Local Losses of Wild Bees Using Dynamic Occupancy Models
Challenges in Modelling Spatio‐Temporal Climatic Correlates of Local Losses of Wild Bees Using Dynamic Occupancy Models Open
Aim Impacts of climate change on biodiversity are well documented. Much of the evidence linking climate change to species distribution changes derives from studies using long‐term climate averages in a correlative spatial framework. While …
View article: Adaptive sampling for ecological monitoring using biased data: a stratum‐based approach
Adaptive sampling for ecological monitoring using biased data: a stratum‐based approach Open
Indicators of biodiversity change across large extents of geographic, temporal and taxonomic space are frequent products of various types of ecological monitoring and other data collection efforts. Unfortunately, many such indicators are b…
View article: Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data
Using causal diagrams and superpopulation models to correct geographic biases in biodiversity monitoring data Open
Biodiversity monitoring schemes periodically measure species' abundances and distributions at a sample of sites to understand how they have changed over time. Often, the aim is to infer change in an average sense across some wider landscap…
View article: Treating gaps and biases in biodiversity data as a missing data problem
Treating gaps and biases in biodiversity data as a missing data problem Open
Big biodiversity data sets have great potential for monitoring and research because of their large taxonomic, geographic and temporal scope. Such data sets have become especially important for assessing temporal changes in species' populat…
View article: Prototype Biodiversity Digital Twin: prioritisation of DNA metabarcoding sampling locations
Prototype Biodiversity Digital Twin: prioritisation of DNA metabarcoding sampling locations Open
Advancements in environmental DNA (eDNA) metabarcoding have revolutionised our capacity to assess biodiversity, especially for cryptic or less-studied organisms, such as fungi, bacteria and micro-invertebrates. Despite its cost-effectivene…
View article: On the trade-off between accuracy and spatial resolution when estimating species occupancy from geographically biased samples
On the trade-off between accuracy and spatial resolution when estimating species occupancy from geographically biased samples Open
Species occupancy is often defined as the proportion of areal units (sites) in a landscape that the focal species occupies, but it is usually estimated from the subset of sites that have been sampled. Assuming no measurement error, we show…
View article: Descriptive inference using large, unrepresentative nonprobability samples: An introduction for ecologists
Descriptive inference using large, unrepresentative nonprobability samples: An introduction for ecologists Open
Biodiversity monitoring usually involves drawing inferences about some variable of interest across a defined landscape from observations made at a sample of locations within that landscape. If the variable of interest differs between sampl…
View article: Towards a unified approach to formal risk of bias assessments for causal and descriptive inference
Towards a unified approach to formal risk of bias assessments for causal and descriptive inference Open
Statistics is sometimes described as the science of reasoning under uncertainty. Statistical models provide one view of this uncertainty, but what is frequently neglected is the invisible portion of uncertainty: that assumed not to exist o…
View article: An operational workflow for producing periodic estimates of species occupancy at national scales
An operational workflow for producing periodic estimates of species occupancy at national scales Open
Policy makers require high‐level summaries of biodiversity change. However, deriving such summaries from raw biodiversity data is a complex process involving several intermediary stages. In this paper, we describe an operational workflow f…
View article: Causal inference and large‐scale expert validation shed light on the drivers of <scp>SDM</scp> accuracy and variance
Causal inference and large‐scale expert validation shed light on the drivers of <span>SDM</span> accuracy and variance Open
Aim To develop a causal understanding of the drivers of Species distribution model (SDM) performance. Location United Kingdom (UK). Methods We measured the accuracy and variance of SDMs fitted for 518 species of invertebrate and plant in t…
View article: We need to talk about nonprobability samples
We need to talk about nonprobability samples Open
In most circumstances, probability sampling is the only way to ensure unbiased inference about population quantities where a complete census is not possible. As we enter the era of 'big data', however, nonprobability samples, whose samplin…
View article: Protected areas support more species than unprotected areas in Great Britain, but lose them equally rapidly
Protected areas support more species than unprotected areas in Great Britain, but lose them equally rapidly Open
Protected areas are a key conservation tool, yet their effectiveness at maintaining biodiversity through time is rarely quantified. Here, we assess protected area effectiveness across sampled portions of Great Britain (primarily England) u…
View article: An evidence‐base for developing ambitious yet realistic national biodiversity targets
An evidence‐base for developing ambitious yet realistic national biodiversity targets Open
Biodiversity targets are a key tool, used at a global and national policy level, to align biodiversity goals, promote conservation action, and recover nature. Yet most biodiversity targets are not met. In England, the government has commit…
View article: We need to talk about nonprobability samples
We need to talk about nonprobability samples Open
In most circumstances, probability sampling is the only way to ensure unbiased inference about population quantities where a complete census is not possible. As we enter the era of 'big data', however, nonprobability samples, whose samplin…
View article: Inferring trends in pollinator distributions across the Neotropics from publicly available data remains challenging despite mobilization efforts
Inferring trends in pollinator distributions across the Neotropics from publicly available data remains challenging despite mobilization efforts Open
Aim Aggregated species occurrence data are increasingly accessible through public databases for the analysis of temporal trends in the geographic distributions of species. However, biases in these data present challenges for statistical in…
View article: <scp>ROBITT</scp> : A tool for assessing the risk‐of‐bias in studies of temporal trends in ecology
<span>ROBITT</span> : A tool for assessing the risk‐of‐bias in studies of temporal trends in ecology Open
Aggregated species occurrence and abundance data from disparate sources are increasingly accessible to ecologists for the analysis of temporal trends in biodiversity. However, sampling biases relevant to any given research question are oft…
View article: Inferring trends in pollinator distributions across the Neotropics from publicly available data remains challenging despite mobilisation efforts
Inferring trends in pollinator distributions across the Neotropics from publicly available data remains challenging despite mobilisation efforts Open
Aim: Aggregated species occurrence data are increasingly accessible through public databases for the analysis of temporal trends in species’ distributions. However, biases in these data present challenges for robust statistical inference. …
View article: Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass✰
Incorporating environmental variability in a spatially-explicit individual-based model of European sea bass✰ Open
The northern stock of European sea bass (Dicentrarchus labrax) is a large, high value, slow growing and late maturing fish that is an important target species for both commercial and recreational fisheries. Around the UK, scientific assess…
View article: occAssess: An R package for assessing potential biases in species occurrence data
occAssess: An R package for assessing potential biases in species occurrence data Open
Species occurrence records from a variety of sources are increasingly aggregated into heterogeneous databases and made available to ecologists for immediate analytical use. However, these data are typically biased, i.e. they are not a prob…
View article: Practical Considerations for Implementing Species Distribution Essential Biodiversity Variables
Practical Considerations for Implementing Species Distribution Essential Biodiversity Variables Open
Species Distribution Essential Biodiversity Variables (SD EBVs; Pereira et al. 2013, Kissling et al. 2017, Jetz et al. 2019) are defined as measurements or estimates of species’ occupancy along the axes of space, time and taxonomy. In the …
View article: <i>occAssess</i>: An R package for assessing potential biases in species occurrence data
<i>occAssess</i>: An R package for assessing potential biases in species occurrence data Open
Species occurrence records from a variety of sources are increasingly aggregated into heterogeneous databases and made available to ecologists for immediate analytical use. However, these data are typically biased, i.e. they are not a prob…
View article: Potential Consequences of Climate and Management Scenarios for the Northeast Atlantic Mackerel Fishery
Potential Consequences of Climate and Management Scenarios for the Northeast Atlantic Mackerel Fishery Open
Climate change and fishing represent two of the most important stressors facing fish stocks. Forecasting the consequences of fishing scenarios has long been a central part of fisheries management. More recently, the effects of changing cli…
View article: Assessing the sublethal impacts of anthropogenic stressors on fish: An energy‐budget approach
Assessing the sublethal impacts of anthropogenic stressors on fish: An energy‐budget approach Open
Fish are increasingly exposed to anthropogenic stressors from human developments and activities such as agriculture, urbanization, pollution and fishing. Lethal impacts of these stressors have been studied but the potential sublethal impac…