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Climate, Land Use, and Sea Level Rise:
Diverse Drivers of Biodiversity Change in the
Face of Climate Change
A. Townsend Peterson
University of Kansas
Studying Drivers of Biodiversity Change
• Many potential drivers: land use change, direct
exploitation, climate change, sea level change…
• Anticipate future change: requires present-day
model, and future projections of drivers
• Document change to date: requires detailed
before-and-after views of distributions,
abundances, and/or conservation status
• We will explore both of these approaches…
PROJECTIONS TO FUTURE CLIMATE
CONDITIONS…
ADD EFFECTS OF LAND USE CHANGE
ADD EFFECTS OF SEA LEVEL CHANGE
Sea Level Rise and Coastline Effects
US Effects
MEASURING AVIFAUNAL TURNOVER
IN RECENT HISTORICAL TIMES…
Well-sampled Recent Grid Squares
Species Gains
Species Losses
Overall Species Turnover
Overall Species Turnover
Significant Drivers of Turnover
• Observed precipitation change – NO
significant effect
• Observed temperature change – YES – strong
significant effects
• Human impact on landscapes – NO significant
effect
• BUT – results are coarse in nature …
Land Use Change
Climate Change (direct)
Sea Level Rise
Summary
• Biodiversity is highly dynamic, but the natural
dynamics are augmented by anthropogenic
change in recent decades
• Studying biodiversity change is complex:
– Future projections are hypothetical and hard to test
– Assessments of change already realized are highly
dependent on before-and-after datasets
• Land use and temperature change effects appear
dominant, but other factors (e.g., sea level rise)
can be important in some cases
• Creativity is key in making these studies possible
town@ku.edu

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D2T2 predicting species range under climate change

  • 1. Climate, Land Use, and Sea Level Rise: Diverse Drivers of Biodiversity Change in the Face of Climate Change A. Townsend Peterson University of Kansas
  • 2.
  • 3.
  • 4.
  • 5.
  • 6. Studying Drivers of Biodiversity Change • Many potential drivers: land use change, direct exploitation, climate change, sea level change… • Anticipate future change: requires present-day model, and future projections of drivers • Document change to date: requires detailed before-and-after views of distributions, abundances, and/or conservation status • We will explore both of these approaches…
  • 7. PROJECTIONS TO FUTURE CLIMATE CONDITIONS…
  • 8.
  • 9.
  • 10.
  • 11.
  • 12.
  • 13. ADD EFFECTS OF LAND USE CHANGE
  • 14.
  • 15.
  • 16.
  • 17.
  • 18.
  • 19. ADD EFFECTS OF SEA LEVEL CHANGE
  • 20. Sea Level Rise and Coastline Effects
  • 22.
  • 23.
  • 24.
  • 25. MEASURING AVIFAUNAL TURNOVER IN RECENT HISTORICAL TIMES…
  • 26.
  • 27.
  • 33. Significant Drivers of Turnover • Observed precipitation change – NO significant effect • Observed temperature change – YES – strong significant effects • Human impact on landscapes – NO significant effect • BUT – results are coarse in nature …
  • 34.
  • 35. Land Use Change Climate Change (direct) Sea Level Rise
  • 36. Summary • Biodiversity is highly dynamic, but the natural dynamics are augmented by anthropogenic change in recent decades • Studying biodiversity change is complex: – Future projections are hypothetical and hard to test – Assessments of change already realized are highly dependent on before-and-after datasets • Land use and temperature change effects appear dominant, but other factors (e.g., sea level rise) can be important in some cases • Creativity is key in making these studies possible
  • 37.
  • 38.