Search Results - "Boyd, Robin J."

occAssess: An R package for assessing potential biases in species occurrence data by Boyd, Robin J., Powney, Gary D., Carvell, Claire, Pescott, Oliver L.

“…Species occurrence records from a variety of sources are increasingly aggregated into heterogeneous databases and made available to ecologists for immediate…”
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An evidence‐base for developing ambitious yet realistic national biodiversity targets by Bane, Miranda S., Cooke, Rob, Boyd, Robin J., Brown, Andy, Burns, Fiona, Henly, Lauren, Vanderpump, Jemilah, Isaac, Nick J. B.

“…Biodiversity targets are a key tool, used at a global and national policy level, to align biodiversity goals, promote conservation action, and recover nature…”
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We need to talk about nonprobability samples by Boyd, Robin J., Powney, Gary D., Pescott, Oliver L.

“…As the data revolution gathers pace, researchers are increasingly relying on nonprobability samples from meta-databases, citizen science and other sources to…”
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Descriptive inference using large, unrepresentative nonprobability samples: An introduction for ecologists by Boyd, Robin J., Stewart, Gavin B., Pescott, Oliver L.

“…Biodiversity monitoring usually involves drawing inferences about some variable of interest across a defined landscape from observations made at a sample of…”
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Inferring trends in pollinator distributions across the Neotropics from publicly available data remains challenging despite mobilization efforts by Boyd, Robin J., Aizen, Marcelo A., Barahona-Segovia, Rodrigo M., Flores-Prado, Luis, Fontúrbel, Francisco E., Francoy, Tiago M., Lopez-Aliste, Manuel, Martinez, Lican, Morales, Carolina L., Ollerton, Jeff, Pescott, Oliver L., Powney, Gary D., Saraiva, Antonio Mauro, Schmucki, Reto, Zattara, Eduardo E., Carvell, Claire

“…Aim Aggregated species occurrence data are increasingly accessible through public databases for the analysis of temporal trends in the geographic distributions…”
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Treating gaps and biases in biodiversity data as a missing data problem by Bowler, Diana E, Boyd, Robin J, Callaghan, Corey T, Robinson, Robert A, Isaac, Nick J B, Pocock, Michael J O

“…Big biodiversity data sets have great potential for monitoring and research because of their large taxonomic, geographic and temporal scope. Such data sets…”
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Causal inference and large-scale expert validation shed light on the drivers of SDM accuracy and variance by Boyd, Robin J., Harvey, Martin, Roy, David B., Barber, Tony, Haysom, Karen A., Macadam, Craig R., Morris, Roger K. A., Palmer, Carolyn, Palmer, Stephen, Preston, Chris D., Taylor, Pam, Ward, Robert, Ball, Stuart G., Pescott, Oliver L.

“…Aim To develop a causal understanding of the drivers of Species distribution model (SDM) performance. Location United Kingdom (UK). Methods We measured the…”
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ROBITT: A tool for assessing the risk‐of‐bias in studies of temporal trends in ecology by Boyd, Robin J., Powney, Gary D., Burns, Fiona, Danet, Alain, Duchenne, François, Grainger, Matthew J., Jarvis, Susan G., Martin, Gabrielle, Nilsen, Erlend B., Porcher, Emmanuelle, Stewart, Gavin B., Wilson, Oliver J., Pescott, Oliver L.

“…Aggregated species occurrence and abundance data from disparate sources are increasingly accessible to ecologists for the analysis of temporal trends in…”
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An operational workflow for producing periodic estimates of species occupancy at national scales by Boyd, Robin J., August, Thomas A., Cooke, Robert, Logie, Mark, Mancini, Francesca, Powney, Gary D., Roy, David B., Turvey, Katharine, Isaac, Nick J. B.

“…ABSTRACT Policy makers require high‐level summaries of biodiversity change. However, deriving such summaries from raw biodiversity data is a complex process…”
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On the trade-off between accuracy and spatial resolution when estimating species occupancy from geographically biased samples by Boyd, Robin J., Bowler, Diana E., Isaac, Nick J.B., Pescott, Oliver L.

“…•Geographic biases cause error when estimating species occupancy.•Using theory and simulations, we show that error is larger at finer resolutions.•Estimates of…”
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Protected areas support more species than unprotected areas in Great Britain, but lose them equally rapidly by Cooke, Rob, Mancini, Francesca, Boyd, Robin J., Evans, Karl L., Shaw, Anna, Webb, Thomas J., Isaac, Nick J.B.

“…Protected areas are a key conservation tool, yet their effectiveness at maintaining biodiversity through time is rarely quantified. Here, we assess protected…”
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We need to talk about nonprobability samples by Boyd, Robin J, Powney, Gary D, Pescott, Oliver L

“…In most circumstances, probability sampling is the only way to ensure unbiased inference about population quantities where a complete census is not possible…”
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Towards a unified approach to formal risk of bias assessments for causal and descriptive inference by Pescott, Oliver L, Boyd, Robin J, Powney, Gary D, Stewart, Gavin B

“…Statistics is sometimes described as the science of reasoning under uncertainty. Statistical models provide one view of this uncertainty, but what is…”
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