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Phenological sensitivity to climate across taxa and trophic levels

Nature (London), 2016-07, Vol.535 (7611), p.241-245

2016

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Trophic level asynchrony in rates of phenological change for marine, freshwater and terrestrial environments

Global change biology, 2010-12, Vol.16 (12), p.3304-3313

2010

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Efficient occupancy model-fitting for extensive citizen-science data

PloS one, 2017-03, Vol.12 (3), p.e0174433-e0174433

2017

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Are neonicotinoid insecticides driving declines of widespread butterflies?

PeerJ (San Francisco, CA), 2015-11, Vol.3, p.e1402-e1402, Article e1402

2015

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Using citizen science butterfly counts to predict species population trends

Conservation biology, 2017-12, Vol.31 (6), p.1350-1361

2017

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The re-expansion and improving status of the silver-spotted skipper butterfly ( Hesperia comma) in Britain: a metapopulation success story

Biological conservation, 2005-07, Vol.124 (2), p.189-198

2005

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Sensitivity of UK butterflies to local climatic extremes: which life stages are most at risk?

The Journal of animal ecology, 2017-01, Vol.86 (1), p.108-116

2017

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Grizzled Skippers stuck in the south: Population-level responses of an early-successional specialist butterfly to climate across its UK range over 40 years

Diversity & distributions, 2021-06, Vol.27 (6), p.962-972

2021

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Butterfly abundance is determined by food availability and is mediated by species traits

The Journal of applied ecology, 2015-12, Vol.52 (6), p.1676-1684

2015

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Spatial and habitat variation in aphid, butterfly, moth and bird phenologies over the last half century

Global change biology, 2019-06, Vol.25 (6), p.1982-1994

2019

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The sensitivity of breeding songbirds to changes in seasonal timing is linked to population change but cannot be directly attributed to the effects of trophic asynchrony on productivity

Global change biology, 2018-03, Vol.24 (3), p.957-971

2018

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regionally informed abundance index for supporting integrative analyses across butterfly monitoring schemes

The Journal of applied ecology, 2016-04, Vol.53 (2), p.501-510

2016

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Population density but not stability can be predicted from species distribution models

The Journal of applied ecology, 2012-06, Vol.49 (3), p.581-590

2012

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A generalized abundance index for seasonal invertebrates

Biometrics, 2016-12, Vol.72 (4), p.1305-1314

2016

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Distance sampling and the challenge of monitoring butterfly populations

Methods in ecology and evolution, 2011-12, Vol.2 (6), p.585-594

2011

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Patterns and causes of covariation in bird and butterfly community structure

Landscape ecology, 2015-10, Vol.30 (8), p.1461-1472

2015

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The utility of relative environmental suitability (RES) modelling for predicting distributions of seabirds in the North Atlantic

Marine ecology. Progress series (Halstenbek), 2013-06, Vol.485, p.259-273

2013

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Climate change and translocations: The potential to re-establish two regionally-extinct butterfly species in Britain

Biological conservation, 2009-10, Vol.142 (10), p.2114-2121

2009

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changing status of the Chalkhill Blue butterfly Polyommatus coridon in the UK: the impacts of conservation policies and environmental factors

Journal of insect conservation, 2008-12, Vol.12 (6), p.629-638

2008

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Individualistic sensitivities and exposure to climate change explain variation in species' distribution and abundance changes

Science advances, 2015-10, Vol.1 (9), p.e1400220-e1400220

2015

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Butterfly abundance in a warming climate: patterns in space and time are not congruent

Journal of insect conservation, 2011-04, Vol.15 (1-2), p.233-240

2011

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Government targets for protected area management: will threatened butterflies benefit

Biodiversity and conservation, 2007-12, Vol.16 (13), p.3719-3736

2007

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Retraction of the Research Article: "Individualistic sensitivities and exposure to climate change explain variation in species' distribution and abundance changes"

Science advances, 2016-04, Vol.2 (4), p.e1600819-e1600819

2016

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Urban indicators for UK butterflies

Ecological indicators, 2017-05, Vol.76, p.184-193

2017

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Functional data analysis of multi-species abundance and occupancy data sets

Ecological indicators, 2019-09, Vol.104, p.156-165

2019

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Phenological sensitivity to climate across taxa and trophic levels

Trophic level asynchrony in rates of phenological change for marine, freshwater and terrestrial environments

Efficient occupancy model-fitting for extensive citizen-science data

Are neonicotinoid insecticides driving declines of widespread butterflies?

Using citizen science butterfly counts to predict species population trends

The re-expansion and improving status of the silver-spotted skipper butterfly ( Hesperia comma) in Britain: a metapopulation success story

Sensitivity of UK butterflies to local climatic extremes: which life stages are most at risk?

Grizzled Skippers stuck in the south: Population-level responses of an early-successional specialist butterfly to climate across its UK range over 40 years

Butterfly abundance is determined by food availability and is mediated by species traits

Spatial and habitat variation in aphid, butterfly, moth and bird phenologies over the last half century

The sensitivity of breeding songbirds to changes in seasonal timing is linked to population change but cannot be directly attributed to the effects of trophic asynchrony on productivity

regionally informed abundance index for supporting integrative analyses across butterfly monitoring schemes

Population density but not stability can be predicted from species distribution models

A generalized abundance index for seasonal invertebrates

Distance sampling and the challenge of monitoring butterfly populations

Patterns and causes of covariation in bird and butterfly community structure

The utility of relative environmental suitability (RES) modelling for predicting distributions of seabirds in the North Atlantic

Climate change and translocations: The potential to re-establish two regionally-extinct butterfly species in Britain

changing status of the Chalkhill Blue butterfly Polyommatus coridon in the UK: the impacts of conservation policies and environmental factors

Individualistic sensitivities and exposure to climate change explain variation in species' distribution and abundance changes

Butterfly abundance in a warming climate: patterns in space and time are not congruent

Government targets for protected area management: will threatened butterflies benefit

Retraction of the Research Article: "Individualistic sensitivities and exposure to climate change explain variation in species' distribution and abundance changes"

Urban indicators for UK butterflies

Functional data analysis of multi-species abundance and occupancy data sets

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