An introduction to the species-people correlation, species, people and networks, ramorum leaf blight, sudden oak death, complex networks, network epidemiology, network theory, scale-free degree distribution, epidemic threshold and final size, clustering coefficient, stream macro-invertebrates, Phytophthora ramorum, Sudden Oak Death
2. Some recent studies of the spp-people correlation
Araujo
(2003)
McKinney GEB
(2003)
Moreno-
Biol Cons
Rueda & Ding et al.
Pizarro (2008)
(2006) J
Ecol Res
Vazquez Hunter Biogeog
& Gaston (2006) & Jonzon
Biodiv & Cons (1993) CB
Balmford
et al. (2001)
Science
Real et al. Chown et al. Luck (2007)
(2003) J Diniz-Filho et al. (2003) Ecol Appl J Biogeog
Biogeog (2006) Acta Oecol.
World wilderness map from: UNEP-WCMC World Atlas of Biodiversity, GIS analysis
by R. Lesslie (ANU), method developed for the Australian Heritage Commission
3. A positive species-people correlation
for vascular plants in US counties
4
log10 vascular plant spp richness (n)
2
n = 2877, r = 0.18, y = 1.75+ 0.22x, p < 0.0001
3
2
1
2 3 4 5 6 7
log10 human population size (n)
Data from the Synthesis of the North American Flora, Ohio and Virginia not included
5. US counties with (•) or without (o)
Universities and/or Botanical Gardens
• N = 692, r2 = 0.13, y = 2.15 (SE = 0.08) + 0.15 (SE = 0.01) x, p < 0.0001
o N = 2187, r2 = 0.10, y = 2.18 (SE = 0.05) + 0.15 (SE = 0.01) x, p < 0.0001
from: Pautasso & McKinney (2007) Conservation Biology
6. Plant (and botanist) movements in a globalized world
passengers
From: Hufnagel et al. (2005) PNAS (air) & Kaluza et al. (2010) Interface (sea)
7. Epidemiology is just one of the
many applications of network theory
Network pictures from: NATURAL
Newman (2003)
SIAM Review food webs
cell
metabolism
neural Food web of Little Rock
networks Lake, Wisconsin, US
ant nests sexual
partnerships
DISEASE
SPREAD
family
innovation networks
Internet flows co-authorship HIV
structure railway urban road nets spread
electrical networks networks network
power grids telephone calls
WWW
computing airport Internet E-mail
committees
grids networks software maps patterns
TECHNOLOGICAL SOCIAL
modified from: Jeger et al. (2007) New Phytologist
8. Simple model of infection spread (e.g. P. ramorum) in a network
pt probability of infection transmission
pp probability of infection persistence
node 1 2 3 4 5 6 7 8 … 100
step 1
step 2
step 3
…
step n
from: Moslonka-Lefebvre et al. (in review) Phytopathology
9. Lower epidemic threshold for scale-free networks
with positive correlation between in- and out-degree
1.00
local
probability of persistence
random
0.75 small-world
scale-free (two-way)
scale-free (uncorrelated)
0.50 scale-free (one way)
0.25
0.00
0.00 0.25 0.50 0.75 1.00
Epidemic probability of transmission
does not
develop Epidemic develops
modified from: Pautasso & Jeger (2008) Ecological Complexity
10. Lower epidemic threshold for two-way scale-free networks
(unless networks are sparsely connected)
N replicates = 100;
error bars are St. Dev.;
different letters show
sign. different means
at p < 0.05
from: Moslonka-Lefebvre et al. (2009) JTB
11. Correlation of epidemic final size with out-degree of
starting node increases with network connectivity
from: Pautasso
et al. (2010) N replicates = 100; error bars are St. Dev.;
Ecol Compl different letters show sign. different means at p < 0.05
12. Multi-scale correlation of human presence and
Phytophthora ramorum disease incidence
from: Cushman & Meentemeyer (2008) Journal of Ecology
13. Sudden Oak Death in California
from Desprez-Loustau et al. (2007) Trends in Ecology & Evolution
14. 2. Species introductions?
Trace forward/back zipcode
Positive (Phytophthora ramorum) site
Hold released
Source: United States Department of Agriculture, 2004
Animal and Plant Health Inspection Service, Plant Protection and Quarantine
17. Ants and people in Europe
(a) 3.0
2
y = -0.19 + 0.29x, s.s.e. = 0.03, r = 0.42, p < 0.0001
(c) 3.0
y = -1.00 + 0.87x, s.s.e. = 0.13, r2 = 0.56, p < 0.0001
log10 ant species richness (n)
log10 ant species richness (n)
2.0 2.0
1.0 1.0
4.0 5.0 6.0 7.0 8.0 9.0 2.5 3.0 3.5 4.0
log10 human population size (n) log10 plant species richness (n)
(b) 3.0 (d) 3.0
2
y = 0.67 + 0.22x, s.s.e = 0.02, r = 0.30, p < 0.0001 y = 0.65 - 0.27x, s.s.e. = 0.64, r2 = 0.02, p = 0.67
log10 ant species richness (n)
log10 ant species richness (n)
2.0 2.0
1.0 1.0
0.0 1.0 2.0 3.0 4.0 5.0 6.0 -4.6 -4.5 -4.4 -4.3 -4.2
log10 country area (km2) Boltzmann transformed temperature (1/kT)
from Schlick-Steiner et al. (2008) Journal of Biogeography
18. Living collections of the world’s botanical gardens
(c)
(a) (c)
log10 spp richness (n)
(d) (yr)
(b) Size of countries reflects n of botanic gardens
(d)
b from: http://www.worldmapper.org/
a, c & d: from: Pautasso & Parmentier (2007) Botanica Helvetica
19. Living collections of the world’s botanic gardens (2)
from: Golding et al. (2010) Annals of Botany
20. 3. Active conservation?
Cupressus Quercus robur, Udine
sempervirens, Forli
Celtis australis, San Gimignano
Castanea sativa,
St. Alfio, Sicily
people / km2
Quercus cerris,
Amatrice, Latium Photos of veteran trees courtesy of G. Bortolotti;
Map of human population density from Swiss Federal Statistical Office no information
21. Ancient trees in Italy’s regions and provinces
(b) 3
(a) (c) 2
(c)
log10 veteran tree individuals
log10 veteran tree species
2
1
1
2
2
y = -1.99 + 0.58x, r = 0.56, p < 0.0001 y = -1.70 + 0.47x, r = 0.69, p < 0.0001
0 0
4 5 6 7 8 4 5 6 7 8
log10 region human population size log10 region human population size
(b)
(b) (d) 2
2
2
(c)
y = -2.98 + 0.68x, r = 0.13, p < 0.0001 2
y = -2.03 + 0.49x, r = 0.15, p < 0.0001
log10 veteran tree individuals
log10 veteran tree species
1 1
0 0
4 5 6 7
4 5 6 7
log 10 province human population size
log10 province human population size
a & b: abundance, c & d: spp richness,
a & c: regions; b & d: provinces; from: Pautasso & Chiarucci (2008) Annals of Botany
22. Birds, people and protected areas in Italy’s regions
from: Pautasso & Dinetti (2009) Environmental Conservation
23. Macrofungi and human population in Italy’s regions
from: Pautasso & Zotti (2009) Biodiversity and Conservation
24. Plant Health, Global Change and Landscape Management
Pautasso et al. (2010) Biological Reviews
25. Geographical genetics and the conservation of forest trees
Pinus pinea (Vendramin et al. (2008) Evolution)
Pautasso (2009) Perspectives in Plant Ecology, Evolution & Systematics
26. Structural change in the international horticultural
industry: implications for plant health
(trade in ornamental plants)
Dehnen-Schmutz et al. (2010) Scientia Horticulturae
27. Plant health and stakeholder engagement
MacLeod et al. (2010) Food Security
28. What about stream macro-invertebrates
(may-, stone- & caddis-flies)?
Pictures from http://biokeys.berkeley.edu
from Pautasso & Fontaneto (2008) Ecological Applications
29. Scale-dependence of the correlation between species richness of
stream macro-invertebrates and people
from Pecher et al. (2010) Basic and Applied Ecology
30. Locally, the spp-people correlation tends to be negative
birds in Florence
from: Chiari et al. (2010) J Animal Ecology
32. Sampling effort explains the correlation between species
richness of Orthoptera and people in Italy
from Cantarello et al. (2010) Naturwissenschaften
33. Random sample of 100 papers per year
on ‘species richness’ in WOS (1991-2004)
from: Lonsdale et al. (2008) European Journal of Forest Research
34. Acknowledgements
Diego
Kevin
Fontaneto,
Gaston,
Mike McKinney, Stockholm
Sheffield Ingrid
Knoxville
Susanne Fritz, Parmentier,
Copenhagen Bruxelles
Peter
Weisberg, Glen Powell, Mathieu
South Ken Moslonka- Mike Jeger, Caroline Lorenzo
Reno Pecher,
Lefebvre, Paris Silwood Marini,
Bozen Padova
Ottmar Alessandro
Birgit & Florian Schlick- Tom
Holdenrieder, Claude Steck, Chiarucci, Harwood,
Zurich Birmensdorf Steiner, Innsbruck Siena Canberra
35. References
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36. References (bis)
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Pautasso M & Powell G (2009) Aphid biodiversity is correlated with human population in European countries. Oecologia 160: 839-846
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Jeger MJ & Pautasso M (2008) Plant disease and global change – the importance of long-term data sets. New Phytologist 177: 8-11
Lonsdale D, Pautasso M & Holdenrieder O (2008) Wood-decaying fungi in the forest: conservation needs and management options. European Journal of Forest Research 127:
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