Displacement Assessment: ASSESSMENT DURING THE NON BREEDING SEASON - - PowerPoint PPT Presentation

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Displacement Assessment: ASSESSMENT DURING THE NON BREEDING SEASON - - PowerPoint PPT Presentation

Displacement Assessment: ASSESSMENT DURING THE NON BREEDING SEASON Francis Daunt Marine bird impact assessment guidance workshop 20 February 2020 Displacement in the breeding and non-breeding seasons Marked differences in the ecology of


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Displacement Assessment: ASSESSMENT DURING THE NON‐BREEDING SEASON Francis Daunt Marine bird impact assessment guidance workshop 20 February 2020

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Displacement in the breeding and non-breeding seasons

  • Marked differences in the ecology of seabirds during the breeding

and non-breeding season

  • Data quality is much poorer in non-breeding season, but this is

improving

  • Non-breeding season is of critical importance:
  • Important populations of most key species in most regions
  • Most mortality occurs in winter
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Breeding season

  • Operating out of a central place
  • High energy demands of breeding
  • Spatially constrained
  • Temporally constrained
  • Life history theory: trade-off between current and future reproduction
  • Marked variation in productivity
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Non-breeding season

  • Adult birds are independent of offspring and mates
  • Not typically operating out of a central place
  • Partial or full migration in winter
  • High energetic costs in midwinter
  • Spatially constrained e.g. flight costs
  • Temporally constrained e.g. day length
  • Birds are less constrained than breeding season
  • Less marked variation in survival than productivity in most seabirds
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Current approach

Joint Statutory Nature Conservation Bodies (SNCB) Interim Displacement Advice Note (2017)

  • Density from at-sea survey data
  • Apportioning and seasonal

definitions from BDMPS

  • Mortality rates from

Displacement Matrix

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Density in footprint x Displacement rate x Mortality rate

Limitations of current approach

Apportioning to SPAs Expert judgement

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Limitations of current approach

  • Summer and winter effects are estimated separately and then summed
  • Summer effects on survival mediated by changes in body mass
  • Subsequent mortality in the non-breeding season
  • Potential for double counting winter mortality
  • Relevant to:
  • Summer Displacement Matrix / Winter Displacement Matrix
  • Summer SeabORD / Winter Displacement Matrix
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3 4 5 6 7 8 Sep Oct Nov Dec Jan Feb Mar Apr

Daily foraging time (h)

Laying date Laying date Breedmg success Winter foraging effort

Daunt et al (2014) Ecology

Limitations of current approach

  • Subsequent effects on productivity ignored
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Potential approaches

  • Key priorities:
  • Interaction between birds of known provenance and footprints during the

non-breeding season

  • Defensible estimates of mortality rate of displaced birds
  • Avoidance of double counting in assessments
  • Incorporation of carry-over effects on subsequent breeding
  • Potential solution:
  • Improved estimates of apportioning
  • Year-round model of behaviour, energetics and demography
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Improved estimates of Apportioning

Lila Buckingham

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Year-round model of displacement

  • Year-round model of daily intake rate and energy expenditure
  • Factor in key constraints arising from habitat loss:
  • Spatial: flight costs
  • Temporal: seasonal daylength and energetic costs
  • Estimate effects on demography:
  • Survival
  • Subsequent breeding performance
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Population-level approach

  • Population-level approach:
  • Distributions of species
  • % time in an area without needing to account for turnover
  • % habitat loss
  • Effects of mortality
  • Potential advantages:
  • Where there are limited individual data on year-round activity and energetic

constraints

  • More rapid than individual-based approaches
  • Likely to provide justification for IBMs in cases where effects may be occurring
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Individual-based approach

  • IBM is more powerful but data hungry.

Current potential in guillemots where there are year-round data on:

  • Distribution
  • Activity/energetics
  • Body mass
  • Good understanding of requirements to plug data gaps:
  • GLS deployments in new species to build baseline IBMs
  • GPS deployments in new species to estimate interactions with developments
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Conclusions on future assessments

  • Current approaches lack biological realism
  • Non-breeding season effects are occurring at a critical time
  • Need empirical studies to fill data gaps
  • Need year-round models of behaviour, energetics and demography to estimate:
  • Interactions between birds and developments
  • Effects on survival
  • Effects on subsequent breeding