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The Current State of Arthropod Biodiversity Data: 
Addressing Impacts of Global Change 
Neil S. Cobb (Northern Arizona University) Katja Seltmann, 
(American Museum of Natural History), and Nico Franz 
(Arizona State University) 
May 5, 2014 
Tri-Trophic Thematic Collection Network
The Current State of Arthropod Biodiversity Data: 
Addressing Impacts of Global Change 
 Focus on North American– United States > Canada 
 How many species can we model future distributions under climate change? (n>30) 
 Museum Occurrence records: 
 Major taxonomic and functional groups 
 Biogeography 
 Timeline 
 Linking trophic connections
Race Against Time 
Arthropods comprise ~70% of described species, only 15% of climate impact studies 
~15% of arthropod species have been described, 70% for North America(?) 
Less than 10% of arthropod species have “enough” occurrence data 
Arthropod occurrence data resides primarily in museum collections 
600,000 million specimens worldwide, <50,000,000 digitized (8%) 
Cannot predict climate change impacts without knowing existing species distributions
4 
Arthropods Dominate Biodiversity ~70% 
Really: Insects Dominate Biodiversity ~63% 
Or at least Binomial Biodiversity
North American Arthropod Functional Diversity: Major Players 
Araneae 
Orthoptera 
Hemiptera 
Coleoptera 
Hymenoptera 
Diptera 
Minor insect orders, 
Crustacea, Myriapods, 
non-spider arachnids 
Lepidoptera 
Seven Major Terrestrial Arthropod Orders 
Economic & Health Impacts 
Pests (Herbivores & Parasites) 
Ecosystem Services 
Parasitoids & Predators 
Pollinators 
Herbivores (Biocontrol & Food) 
Ants 
Decomposers
Understanding Climate Change Impacts on Arthropods 
Ecological Niche Modeling, Species Distribution Modeling 
Document Present 
Distributions 
Promote Data 
Acquisition 
Near-Future 
Goals 
Predict 
Biodiversity 
Understand 
Mechanisms 
Present 
Goals 
Way in the 
Future Goals 
Predict Future 
Species 
Distributions 
Model Cross-Trophic 
Interactions
Predicting Impacts of Climate Change on Species Distributions 
BIOMOD2+ Modeling Workflow 
 30-100 occurrence localities 
 Distributed over entire range
 How many arthropod species are observable in the field? 
 Museums currently hold the vast majority of arthropod occurrence data!! 
Field Observable 
Arthropod Taxa 
Dragonflies some damselflies 
Butterflies 
Ants 
Grasshoppers 
Mantids 
Crickets 
Cockroaches 
Earwigs 
Vespid Wasps 
Projects that use 
observations 
Odonata Central 
Butterflies & Moths of NA 
BugGuide 
Discoverlife (Bee Hunt) 
Life on Loosestrife 
Cricket Crawl 
Lost Ladybug 
Great Sunflower Project 
# of NA Arthropod 
Species that can be 
Observed in Field 
3,001 species 
6,000 aquatic species?? 
9,000 total observable species 
95,000 total unobservable species
The Data 
 Museum Occurrence Records for United States & Canada 
 Three sources of data 
Southwest Collections of Arthropods TCN Tri-Trophic TCN 
GBIF 
4,606,160 
(500k) (900k) (3.2 million)
Methods 
The “Seltmann model 865B” 
Biodiversity Cluster Array 
1. Compile Raw data 
2. Clean Data 
3. Format Data 
4. Compile & run scripts
Museum Occurrence Records for United States & Canada 
2,166 Families 
20,153 Genera 
80,161 species (105,000(?) total) 
4,606,160 Specimen Records 
3,7331,257 Georeferenced Records (81%) 
2,803,956 Identified to Species (77%)
Canada USA Mexico 
# of Collections 
300 
250 
200 
150 
100 
50 
0 
# of Specimens (Millions) 
300 
250 
200 
150 
100 
50 
0 
North American Arthropod Collections 
(USA-Canada-Mexico)
Key Estimates 
Current Holdings 
237 million specimens accounted for 
>17 million not accounted for 
254 million Total specimens in NA collections 
85 million Total North American specimens (?) 
Annual Additions 
3.8 million total new specimens per year 
1.2 million new North American specimens per year 
# Specimens (Millions) 
300 
250 
200 
150 
100 
50 
0 
North American Arthropod Collections 
Total 
Arthropod 
Specimens 
(USA-Canada-Mexico) 
North 
American 
Specimens 
North American 
Specimens 
Digitized
North American Arthropod Collections 
Key Estimates 
Current Holdings 
237 million specimens accounted for 
>17 million not accounted for 
254 million Total specimens in NA collections 
85 million Total North American specimens (?) 
Annual Additions 
3.8 million total new specimens per year 
1.2 million new North American specimens per year 
# Specimens (Millions) 
7 
6 
5 
4 
3 
2 
1 
0 
Can we catch up? 
NA 
Specimens 
Digitized 
To Date 
NA 
Specimens 
Digitized 
Per Year 
NA 
Specimens 
Collected 
Per Year 
(USA-Canada- 
Mexico)
North American Arthropod Collections 
Total 
Arthropod 
Specimens 
(USA-Canada-Mexico) 
North 
American 
Specimens 
North American 
Specimens 
Digitized 
# Specimens (Millions) 
300 
250 
200 
150 
100 
50 
0
400 
300 
200 
100 
5-Fold increase in digitization 
2010 2015 2020 2025 2030 2035 2040 2045 2050 2055 
Year 
# Digitized Specimens (millions) 
0 
Projected # of NA specimens 
Current rate of digitization 
Can we catch up?
Biogeography of NA Arthropod Collections 
692,749 Species Records (Georeferenced) 
# Records / 2500 km2
Timeline of Arthropod Collecting 
120 4.2 million total records 
120 
100 
80 
60 
40 
20 
1840 1860 1880 1900 1920 1940 1960 1980 2000 
Year Collected 
Number 
0 
100 
80 
60 
40 
20 
1840 1860 1880 1900 1920 1940 1960 1980 2000 
Year Collected 
# Specimens Digitized (Millions) 
0 
1,526 records before Columbus 
637 records in future 
2011 
2012 
2013 
1.6 million records 
Pre-Climate Change
Research Ready Data (identified to species & georeferenced) 
50000 52,604 species 
less than 30 >= 30 >= 100 >= 500 >=1000 
# of Occurence Records 
Number of Species 
40000 
30000 
20000 
10000 
0 
8,871 species (11%)
Taxonomic Distribution: Databased Species 
Araneae 
Orthoptera 
Hemiptera 
Hymenoptera 
Coleoptera 
Diptera 
Lepidoptera 
Number of Species 
30000 
25000 
20000 
15000 
10000 
5000 
0 
# Species in NA # Species in database
Araneae 
Orthoptera 
Hemiptera 
Coleoptera 
Hymenoptera 
Diptera 
Lepidoptera 
# Records (Millions) 
1.4 
1.2 
1.0 
0.8 
0.6 
0.4 
0.2 
0.0 
Taxonomic Distribution: Expected vs Observed Records 
Expected Observed
Vector pests Aquatics Herbivores Pollinators Predators Parasitoids 
# of Species 
40000 
30000 
20000 
10000 
0 
Ecological Distribution: Databased Species 
# Species in NA # Species in database
Vector pests Aquatics Herbivores Pollinators Predators Parasitoids 
# Records (Millions) 
2.0 
1.5 
1.0 
0.5 
0.0 
Ecological Distribution: Expected vs Observed Records 
Expected Observed
Status of Research-Ready Arthropod Biodiversity Data 
1. Fraction of specimens digitized, but enough to model for climate change impacts. 
2. Current rate of digitization needs to increase exponentially to fully utilize existing specimen data. 
3. Biogeography of specimen records suggests significant bias. 
4. Historical data indicate a number of taxa can be used to test for climate change responses now. 
5. Taxonomic breadth of data generally good (except Diptera). 
6. Ecological categories demonstrate good coverage (except predators & parasitoids).
Stacked Species Distribution Models 
‱ Can assess overlap among species 
‱ Predicted community “types” 
‱ Examine Biotic Interactions 
Present 
2090 
Plant 
Enemies 
Herbivore 
Pollinator Networks
Modeling Biotic Associations 
Assessment of Trophic Network Data 
1. Rigorous 
Data-filtering 
Framework 
2. High 
confidence 
in < 20% 
of recorded 
associations
Conclusions 
TCN Collaboration 
Lots to do Lots to work with 
Take Your Pick 
Really 
11% Full
Next Steps 
Extend analysis to Mexico and Central America. 
Compare with other continents and oceans as well as other phyla in North America. 
Create website that provides near real time statistics to 
identify gaps and advertise research-ready data.
Timeline Biogeography of NA Arthropod Collections 
692,749 Species Records (Georeferenced)
Conclusions: A few suggestions 
Promote Interoperability of user-friendly databases & software (Symbiota, Arthropod Easy, GBIF [Arctos], CalBug?) 
Push for technological advances (InvertNet imaging [100’s to >1000 specimens per image]) 
Crowd-sourcing (Notes from Nature) 
Increase # of observable species (DiscoverLife) 
Extend beyond political boundaries (SpeciesLink, GBIF)
Specific ways museums can address climate change impacts on Arthropods 
1. Provide occurrence records from museum specimens 
2. Provide expertise 
A. Monitoring Programs 
B. Observational Inventories 
C. Taxonomic revisions 
D. Identification Services through loans 
E. Training Taxonomists and Parataxonomists
We compiled distribution records for all Sphingidae of Sub-Saharan Africa (south of ca. 
17° N latitude, including Madagascar), based on an extensive search of published 
literature and the internet: 
1. Lepidoptera blogs, 
2. specimen trading sites, 
3. the Barcode of Life Database (http://www.barcodinglife.org), 
4. the Global Biodiversity Information Facility (http://www.gbif.org ) 
5. correspondence with a large number of professional and amateur collectors, 
6. our own field sampling, and 
7. through databasing several major natural history collections 
(e.g. museums in London, Berlin, Paris, Munich, Tervuren and Pittsburgh).
Assessment of Trophic Network Data 
Filtered Association Network 
Unfiltered 
Association 
Network (Raw 
Data) 
High 
confidence 
in < 20% 
of recorded 
associations
Proposed Activities to increase our knowledge of species distributions. 
Crowdsource data entry (Notes from Nature) 
Promote technological advances (InvertNet) 
Increase “informed” observations (mobile identification apps, NextGen field kit)
COLLECTING EVEN DATA: 
The occurrence of an insect 
species on a plant genus 
Compute frequency 
of occurrence on a 
particular plant genus 
Compare with all insect 
collecting events on any plant 
ANALYSIS: evaluate insect/plant 
associations with different scores 
Modify algorithm to improve fit 
of model to data based on results 
Scores: High, Medium, or Low 
confidence in insect--plant 
association 
HEURISTIC DATA: 
Larvae present? 
Multiple specimens? 
Voucher specimen available?
~105,000 Described Arthropod Species occur in US-Canada 
Possibly ~35,000 Undescribed Arthropod Species
1. Small labels 
2. Poor taxonomic resolution 
3. Lack of coordination 
Use sp, sp., spp, sp? Etc as example 
iDigBio takes everything: when are going to start improving the quality of the data?
476,946 insect specimens 
37 
collections and subcollections 
476,946 
online records 
388,451 
georeferenced records 
21,505 
type records 
41 
records of species in redlists 
5,855 
distinct accepted species 
spp. names records 
accepted 190,855 
synonyms 2,361 
not found 209,372 
not identified 74,358
Focus on North America – United States 
Over 6,000 species of potential pests 
World Food Production would be reduced by 1/3 as a result 
of unchecked insect pests
Cobb, Seltmann, Franz. 2014. The Current State of Arthropod Biodiversity Data: Addressing Impacts of Global Change.
Cobb, Seltmann, Franz. 2014. The Current State of Arthropod Biodiversity Data: Addressing Impacts of Global Change.
Cobb, Seltmann, Franz. 2014. The Current State of Arthropod Biodiversity Data: Addressing Impacts of Global Change.
Cobb, Seltmann, Franz. 2014. The Current State of Arthropod Biodiversity Data: Addressing Impacts of Global Change.

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Cobb, Seltmann, Franz. 2014. The Current State of Arthropod Biodiversity Data: Addressing Impacts of Global Change.

  • 1. The Current State of Arthropod Biodiversity Data: Addressing Impacts of Global Change Neil S. Cobb (Northern Arizona University) Katja Seltmann, (American Museum of Natural History), and Nico Franz (Arizona State University) May 5, 2014 Tri-Trophic Thematic Collection Network
  • 2. The Current State of Arthropod Biodiversity Data: Addressing Impacts of Global Change  Focus on North American– United States > Canada  How many species can we model future distributions under climate change? (n>30)  Museum Occurrence records:  Major taxonomic and functional groups  Biogeography  Timeline  Linking trophic connections
  • 3. Race Against Time Arthropods comprise ~70% of described species, only 15% of climate impact studies ~15% of arthropod species have been described, 70% for North America(?) Less than 10% of arthropod species have “enough” occurrence data Arthropod occurrence data resides primarily in museum collections 600,000 million specimens worldwide, <50,000,000 digitized (8%) Cannot predict climate change impacts without knowing existing species distributions
  • 4. 4 Arthropods Dominate Biodiversity ~70% Really: Insects Dominate Biodiversity ~63% Or at least Binomial Biodiversity
  • 5. North American Arthropod Functional Diversity: Major Players Araneae Orthoptera Hemiptera Coleoptera Hymenoptera Diptera Minor insect orders, Crustacea, Myriapods, non-spider arachnids Lepidoptera Seven Major Terrestrial Arthropod Orders Economic & Health Impacts Pests (Herbivores & Parasites) Ecosystem Services Parasitoids & Predators Pollinators Herbivores (Biocontrol & Food) Ants Decomposers
  • 6. Understanding Climate Change Impacts on Arthropods Ecological Niche Modeling, Species Distribution Modeling Document Present Distributions Promote Data Acquisition Near-Future Goals Predict Biodiversity Understand Mechanisms Present Goals Way in the Future Goals Predict Future Species Distributions Model Cross-Trophic Interactions
  • 7. Predicting Impacts of Climate Change on Species Distributions BIOMOD2+ Modeling Workflow  30-100 occurrence localities  Distributed over entire range
  • 8.  How many arthropod species are observable in the field?  Museums currently hold the vast majority of arthropod occurrence data!! Field Observable Arthropod Taxa Dragonflies some damselflies Butterflies Ants Grasshoppers Mantids Crickets Cockroaches Earwigs Vespid Wasps Projects that use observations Odonata Central Butterflies & Moths of NA BugGuide Discoverlife (Bee Hunt) Life on Loosestrife Cricket Crawl Lost Ladybug Great Sunflower Project # of NA Arthropod Species that can be Observed in Field 3,001 species 6,000 aquatic species?? 9,000 total observable species 95,000 total unobservable species
  • 9. The Data  Museum Occurrence Records for United States & Canada  Three sources of data Southwest Collections of Arthropods TCN Tri-Trophic TCN GBIF 4,606,160 (500k) (900k) (3.2 million)
  • 10. Methods The “Seltmann model 865B” Biodiversity Cluster Array 1. Compile Raw data 2. Clean Data 3. Format Data 4. Compile & run scripts
  • 11. Museum Occurrence Records for United States & Canada 2,166 Families 20,153 Genera 80,161 species (105,000(?) total) 4,606,160 Specimen Records 3,7331,257 Georeferenced Records (81%) 2,803,956 Identified to Species (77%)
  • 12. Canada USA Mexico # of Collections 300 250 200 150 100 50 0 # of Specimens (Millions) 300 250 200 150 100 50 0 North American Arthropod Collections (USA-Canada-Mexico)
  • 13. Key Estimates Current Holdings 237 million specimens accounted for >17 million not accounted for 254 million Total specimens in NA collections 85 million Total North American specimens (?) Annual Additions 3.8 million total new specimens per year 1.2 million new North American specimens per year # Specimens (Millions) 300 250 200 150 100 50 0 North American Arthropod Collections Total Arthropod Specimens (USA-Canada-Mexico) North American Specimens North American Specimens Digitized
  • 14. North American Arthropod Collections Key Estimates Current Holdings 237 million specimens accounted for >17 million not accounted for 254 million Total specimens in NA collections 85 million Total North American specimens (?) Annual Additions 3.8 million total new specimens per year 1.2 million new North American specimens per year # Specimens (Millions) 7 6 5 4 3 2 1 0 Can we catch up? NA Specimens Digitized To Date NA Specimens Digitized Per Year NA Specimens Collected Per Year (USA-Canada- Mexico)
  • 15. North American Arthropod Collections Total Arthropod Specimens (USA-Canada-Mexico) North American Specimens North American Specimens Digitized # Specimens (Millions) 300 250 200 150 100 50 0
  • 16. 400 300 200 100 5-Fold increase in digitization 2010 2015 2020 2025 2030 2035 2040 2045 2050 2055 Year # Digitized Specimens (millions) 0 Projected # of NA specimens Current rate of digitization Can we catch up?
  • 17. Biogeography of NA Arthropod Collections 692,749 Species Records (Georeferenced) # Records / 2500 km2
  • 18. Timeline of Arthropod Collecting 120 4.2 million total records 120 100 80 60 40 20 1840 1860 1880 1900 1920 1940 1960 1980 2000 Year Collected Number 0 100 80 60 40 20 1840 1860 1880 1900 1920 1940 1960 1980 2000 Year Collected # Specimens Digitized (Millions) 0 1,526 records before Columbus 637 records in future 2011 2012 2013 1.6 million records Pre-Climate Change
  • 19. Research Ready Data (identified to species & georeferenced) 50000 52,604 species less than 30 >= 30 >= 100 >= 500 >=1000 # of Occurence Records Number of Species 40000 30000 20000 10000 0 8,871 species (11%)
  • 20. Taxonomic Distribution: Databased Species Araneae Orthoptera Hemiptera Hymenoptera Coleoptera Diptera Lepidoptera Number of Species 30000 25000 20000 15000 10000 5000 0 # Species in NA # Species in database
  • 21. Araneae Orthoptera Hemiptera Coleoptera Hymenoptera Diptera Lepidoptera # Records (Millions) 1.4 1.2 1.0 0.8 0.6 0.4 0.2 0.0 Taxonomic Distribution: Expected vs Observed Records Expected Observed
  • 22. Vector pests Aquatics Herbivores Pollinators Predators Parasitoids # of Species 40000 30000 20000 10000 0 Ecological Distribution: Databased Species # Species in NA # Species in database
  • 23. Vector pests Aquatics Herbivores Pollinators Predators Parasitoids # Records (Millions) 2.0 1.5 1.0 0.5 0.0 Ecological Distribution: Expected vs Observed Records Expected Observed
  • 24. Status of Research-Ready Arthropod Biodiversity Data 1. Fraction of specimens digitized, but enough to model for climate change impacts. 2. Current rate of digitization needs to increase exponentially to fully utilize existing specimen data. 3. Biogeography of specimen records suggests significant bias. 4. Historical data indicate a number of taxa can be used to test for climate change responses now. 5. Taxonomic breadth of data generally good (except Diptera). 6. Ecological categories demonstrate good coverage (except predators & parasitoids).
  • 25. Stacked Species Distribution Models ‱ Can assess overlap among species ‱ Predicted community “types” ‱ Examine Biotic Interactions Present 2090 Plant Enemies Herbivore Pollinator Networks
  • 26. Modeling Biotic Associations Assessment of Trophic Network Data 1. Rigorous Data-filtering Framework 2. High confidence in < 20% of recorded associations
  • 27. Conclusions TCN Collaboration Lots to do Lots to work with Take Your Pick Really 11% Full
  • 28. Next Steps Extend analysis to Mexico and Central America. Compare with other continents and oceans as well as other phyla in North America. Create website that provides near real time statistics to identify gaps and advertise research-ready data.
  • 29. Timeline Biogeography of NA Arthropod Collections 692,749 Species Records (Georeferenced)
  • 30. Conclusions: A few suggestions Promote Interoperability of user-friendly databases & software (Symbiota, Arthropod Easy, GBIF [Arctos], CalBug?) Push for technological advances (InvertNet imaging [100’s to >1000 specimens per image]) Crowd-sourcing (Notes from Nature) Increase # of observable species (DiscoverLife) Extend beyond political boundaries (SpeciesLink, GBIF)
  • 31. Specific ways museums can address climate change impacts on Arthropods 1. Provide occurrence records from museum specimens 2. Provide expertise A. Monitoring Programs B. Observational Inventories C. Taxonomic revisions D. Identification Services through loans E. Training Taxonomists and Parataxonomists
  • 32. We compiled distribution records for all Sphingidae of Sub-Saharan Africa (south of ca. 17° N latitude, including Madagascar), based on an extensive search of published literature and the internet: 1. Lepidoptera blogs, 2. specimen trading sites, 3. the Barcode of Life Database (http://www.barcodinglife.org), 4. the Global Biodiversity Information Facility (http://www.gbif.org ) 5. correspondence with a large number of professional and amateur collectors, 6. our own field sampling, and 7. through databasing several major natural history collections (e.g. museums in London, Berlin, Paris, Munich, Tervuren and Pittsburgh).
  • 33. Assessment of Trophic Network Data Filtered Association Network Unfiltered Association Network (Raw Data) High confidence in < 20% of recorded associations
  • 34.
  • 35. Proposed Activities to increase our knowledge of species distributions. Crowdsource data entry (Notes from Nature) Promote technological advances (InvertNet) Increase “informed” observations (mobile identification apps, NextGen field kit)
  • 36. COLLECTING EVEN DATA: The occurrence of an insect species on a plant genus Compute frequency of occurrence on a particular plant genus Compare with all insect collecting events on any plant ANALYSIS: evaluate insect/plant associations with different scores Modify algorithm to improve fit of model to data based on results Scores: High, Medium, or Low confidence in insect--plant association HEURISTIC DATA: Larvae present? Multiple specimens? Voucher specimen available?
  • 37.
  • 38. ~105,000 Described Arthropod Species occur in US-Canada Possibly ~35,000 Undescribed Arthropod Species
  • 39.
  • 40. 1. Small labels 2. Poor taxonomic resolution 3. Lack of coordination Use sp, sp., spp, sp? Etc as example iDigBio takes everything: when are going to start improving the quality of the data?
  • 41. 476,946 insect specimens 37 collections and subcollections 476,946 online records 388,451 georeferenced records 21,505 type records 41 records of species in redlists 5,855 distinct accepted species spp. names records accepted 190,855 synonyms 2,361 not found 209,372 not identified 74,358
  • 42. Focus on North America – United States Over 6,000 species of potential pests World Food Production would be reduced by 1/3 as a result of unchecked insect pests