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Bird responses to management intensity in a shade-coffee
system, Southwestern Ethiopia
Patrícia Rodrigues, Girma Shumi, Ine Dorresteijn, Jan Hanspach, Kristoffer Hylander*, Feyera Senbeta**, Joern Fischer
El Jadida , Morocco September 2016
Identifying socio-ecological system properties that benefit both biodiversity conservation and food security
* Stockholm University ** Addis Ababa University
CONTEXT
Population
growth
Biodiversity
hotspots
Land use
changes
TROPICAL FORESTS
SOUTHWESTERN ETHIOPIA
AFROMONTANE RAINFOREST HOTSPOT
Elevation: 1800-2800m
Highly biodiverse
Birthplace of Coffee arabica
Highlands of
Southwestern Ethiopia
SOUTHWESTERN ETHIOPIA
COFFEE PRODUCTION
41% of the country´s foreign
currency income
SOUTHWESTERN ETHIOPIA
HIGHLY MANAGED COFFEE FOREST
Clearing of understory
SOUTHWESTERN ETHIOPIA
LOW MANAGEMENT COFFEE FOREST
Undisturbed understory until harvest season
SOUTHWESTERN ETHIOPIA
MOIST EVERGREEN FOREST
Wild coffee
How do birds respond to coffee management intensity?
(Buechley et al. 2015; Gove et al. 2013, 2008)
Unmanaged Natural ForestsSemi-managed Coffee ForestIntensively managed Coffee F.
QUESTION
WHY BIRDS? Providers of ecosystem services (seed dispersal, pest control…)
(1) Community composition
(2) Total species richness and total abundance
(3) Abundance of functional groups
RESPONSES OF:
Addis Ababa
Jimma
STUDY REGION AND SAMPLING SCHEME
52% Farmland
48% Woody Veg.
Kebele
67 points, sampled twice,
Nov 2015 to Feb 2016
Number of individuals; species
Distance from observer (bands)
RECORD bird songs and calls
Info on vegetation on plot 20x20m
- plant species richness
- abundance of non-coffee species
- dbh of big trees
SAMPLING POINTS
10´ 06h00 – 10h00
Cost Distance
Close
Middle
Far
Interior
STRATIFICATION
Lovebirds*
White-eyes
COMMON SPECIES
ENDEMICS AND NEAR ENDEMICS
White-cheek Tauraco*
Camaroptera Robin-Chats
*Picture from IBC (Internet bird collection)
RESULTS
Ethiopian Boubou*
Common BulbulOriolus*
Abyssinian woodpecker*Yellow-fronted parrot*
TOTAL of 76 species and 1617 individuals
RESULTS: community composition
*Picture from IBC (Internet bird collection)
Camaroptera*Robin-Chats
Sharpe's Starling*African Hill Barbler* Abyssinian Ground-thrush*
High
Low
No coffee
Coffee Ratio
Paradise flycatcher*
Stress: 0.26
RESULTS: total richness and abundance
Coffee Ratio
0.05 *high
low
high
low
ns
ns
ns ns
ns
RESULTS: abundance of feeding guilds
0.03 *high
low
ns
ns Coffee Ratio
IMPLICATIONS FOR MANAGEMENT DECISIONS
FINAL CONSIDERATIONS
Negative response : total species richness and abundance of insectivores
Unmanaged Natural ForestsSemi-managed Coffee ForestHighly managed Coffee F.
No response for remaining classes: Low management plots as buffers for natural forests?
SIMPLIFICATION OF HABITAT STRUCTURE
Acknowledgments
European Research Council for funding provided to Joern Fischer
Kebele and woreda offices for providing work permissions
Field Guides and drivers!
Thank you for your attention!

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Rodrigues accb2016

  • 1. Bird responses to management intensity in a shade-coffee system, Southwestern Ethiopia Patrícia Rodrigues, Girma Shumi, Ine Dorresteijn, Jan Hanspach, Kristoffer Hylander*, Feyera Senbeta**, Joern Fischer El Jadida , Morocco September 2016 Identifying socio-ecological system properties that benefit both biodiversity conservation and food security * Stockholm University ** Addis Ababa University
  • 3. SOUTHWESTERN ETHIOPIA AFROMONTANE RAINFOREST HOTSPOT Elevation: 1800-2800m Highly biodiverse Birthplace of Coffee arabica Highlands of Southwestern Ethiopia
  • 4. SOUTHWESTERN ETHIOPIA COFFEE PRODUCTION 41% of the country´s foreign currency income
  • 5. SOUTHWESTERN ETHIOPIA HIGHLY MANAGED COFFEE FOREST Clearing of understory
  • 6. SOUTHWESTERN ETHIOPIA LOW MANAGEMENT COFFEE FOREST Undisturbed understory until harvest season
  • 8. How do birds respond to coffee management intensity? (Buechley et al. 2015; Gove et al. 2013, 2008) Unmanaged Natural ForestsSemi-managed Coffee ForestIntensively managed Coffee F. QUESTION WHY BIRDS? Providers of ecosystem services (seed dispersal, pest control…) (1) Community composition (2) Total species richness and total abundance (3) Abundance of functional groups RESPONSES OF:
  • 9. Addis Ababa Jimma STUDY REGION AND SAMPLING SCHEME 52% Farmland 48% Woody Veg. Kebele 67 points, sampled twice, Nov 2015 to Feb 2016 Number of individuals; species Distance from observer (bands) RECORD bird songs and calls Info on vegetation on plot 20x20m - plant species richness - abundance of non-coffee species - dbh of big trees SAMPLING POINTS 10´ 06h00 – 10h00 Cost Distance Close Middle Far Interior STRATIFICATION
  • 10. Lovebirds* White-eyes COMMON SPECIES ENDEMICS AND NEAR ENDEMICS White-cheek Tauraco* Camaroptera Robin-Chats *Picture from IBC (Internet bird collection) RESULTS Ethiopian Boubou* Common BulbulOriolus* Abyssinian woodpecker*Yellow-fronted parrot* TOTAL of 76 species and 1617 individuals
  • 11. RESULTS: community composition *Picture from IBC (Internet bird collection) Camaroptera*Robin-Chats Sharpe's Starling*African Hill Barbler* Abyssinian Ground-thrush* High Low No coffee Coffee Ratio Paradise flycatcher* Stress: 0.26
  • 12. RESULTS: total richness and abundance Coffee Ratio 0.05 *high low high low ns ns ns ns ns
  • 13. RESULTS: abundance of feeding guilds 0.03 *high low ns ns Coffee Ratio
  • 14. IMPLICATIONS FOR MANAGEMENT DECISIONS FINAL CONSIDERATIONS Negative response : total species richness and abundance of insectivores Unmanaged Natural ForestsSemi-managed Coffee ForestHighly managed Coffee F. No response for remaining classes: Low management plots as buffers for natural forests? SIMPLIFICATION OF HABITAT STRUCTURE
  • 15. Acknowledgments European Research Council for funding provided to Joern Fischer Kebele and woreda offices for providing work permissions Field Guides and drivers! Thank you for your attention!