the automatic ornithologist: a new website for predicting amazonian bird species composition by...
TRANSCRIPT
The Automatic Ornithologist:
A New Website for Predicting Amazonian Bird
Species Composition by Locality
Mario Cohn-Haft([email protected])
Rolf A. de By
Catherine L. Bechtoldt
Kleberson J. A. Serique
José Laurindo Campos dos Santos
Describe site species composition:
1. Survey/inventory
2. Extrapolation/interpolation: Predictive modeling
Surveys incomplete
Time
No.
spe
cies
Predictive bird species occurrence
1. Geographic range
2. Habitat use
Predicting bird species occurrence:
1. Geographic range
2. Habitat use
We know this for birds!
Predicting bird species occurrence:
1. Geographic rangeRidgely maps in Infonatura (2007)
www.natureserve.org/infonatura
2. Habitat useParker database in Stotz et al. (1996) Neotropical Birds
GIS query - Consulta SIG
~1200 spp. Amazônia Brasileira
The Automatic Ornithologist
O Ornitólogo Automático
The Automatic Ornithologist
O Ornitólogo Automático
Bilingual website:
• On-line GIS platform
• Linked to avian distribution database
• Using free software
The Automatic Ornithologist
The Automatic Ornithologist
The Automatic Ornithologist
The Automatic Ornithologist
The Automatic Ornithologist
The Automatic Ornithologist
The Automatic Ornithologist
The Automatic Ornithologist
The Automatic Ornithologist
The Automatic Ornithologist
Data quality?
Data quality?
1. Geographic rangeRidgely maps in Infonatura (2007)
www.natureserve.org/infonatura
2. Habitat useParker database in Stotz et al. (1996) Neotropical Birds
3. TaxonomyComitê Brasileiro de Registros Ornitológicos
(CBRO)
Data quality?
1. Geographic rangeRidgely maps in Infonatura (2007)
www.natureserve.org/infonatura
2. Habitat useParker database in Stotz et al. (1996) Neotropical Birds
3. TaxonomyComitê Brasileiro de Registros Ornitológicos
(CBRO)
Data quality?
1. Geographic rangeRidgely maps in Infonatura (2007)
www.natureserve.org/infonatura
2. Habitat useParker database in Stotz et al. (1996) Neotropical Birds
3. TaxonomyComitê Brasileiro de Registros Ornitológicos
(CBRO)
Data quality?
1. Geographic rangeRidgely maps in Infonatura (2007)
www.natureserve.org/infonatura
2. Habitat useParker database in Stotz et al. (1996) Neotropical Birds
3. TaxonomyComitê Brasileiro de Registros Ornitológicos
(CBRO)
Black Antbird (Cercomacra serva) Chororó-preto
Black Antbird (Cercomacra serva) Chororó-preto
Spot-backed Antwren (Herpsilochmus dorsimaculatus) Chorozinho-de-costas-manchadas
Spot-backed Antwren (Herpsilochmus dorsimaculatus) Chorozinho-de-costas-manchadas
New data
Spot-backed Antwren (Herpsilochmus dorsimaculatus) Chorozinho-de-costas-manchadas
Interfluve model
Who will use? What for?
Who will use? What for?
1. Scientific research
Species richness patterns
Distributional boundaries
Distributional boundaries
Who will use? What for?
1. Scientific research
2. Policy and decision-making
Who will use? What for?
1. Scientific research
2. Policy and decision-making
3. Tourism
What’s next?
What’s next?
1. Distributions based on complex modelsgreater spatial precisionprobability of occurrence
What’s next?
1. Distributions based on complex modelsgreater spatial precisionprobability of occurrence
2. Collaborations with other data providerse.g., museum specimen point data
3. Citizen science: user data contributionshared map authorship
4. Expanded geographic coverageinternational Amazon-wide collaborations
Surveys incomplete
Method
No.
spe
cies
1 2 3 4 5 6
Predictive modeling
1. Highly dependent on existing data quality2. Overestimate (false presences)3. Underestimate (false absences)4. Testing depends on surveys