ecography ecog-00880 fenberg, p. b., menge, b. a.,, raimondi, … · 2014-05-05 · chilean coast...
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Ecography ECOG-00880Fenberg, P. B., Menge, B. A.,, Raimondi, P. T. and Rivadeneira, M. M. 2014. Biogeographic structure of the northeastern Pacific rocky intertidal: the role of upwelling and dispersal to drive patterns. – Ecography doi: 10.1111/ecog.00880
Supplementary material
1
Appendix 1
Meta-analysis. We carried out a survey of studies that examine coastal
biogeographic structure of species inhabiting rocky habitats published from 1992 –
2012 to ask the following questions: (i) which and how many variables have been
mentioned to be important for explaining/predicting biogeographic structure, and (ii)
how many of these variables have been statistically tested? We do this by recording
the number and identity of variables mentioned in each publication and then record
which (if any) of the variables are statistically tested to help predict or describe
observed structure. In total, we surveyed 47 papers covering many coastal regions of
the globe. The main criteria for choosing papers were that they studied marine
biogeographic structure at least at regional scales (using species occurrence and/or
species abundance) and that they primarily studied species living in coastal rocky
environments. Because we also wanted to know what proportion of studies test
variables to predict/explain observed structure, we did not a priori choose studies that
do so. Overall results are presented in tables A1 and A2.
2
Table A1. Literature survey of the variables cited as potential drivers of the 1
biogeographic structure of coastal marine organisms. Numbers in parentheses indicate the 2
number of studies (out of 47 articles, see references) citing its potential importance. 3
4 Major Processes/Forcing Variables Anthropogenic Forcing (5) Acidification (2)
Fisheries (3)
Invasive Species (2)
Pollution (4)
Population Pressure (2)
Shipping (2)
Unspecified (2)
Climatic (9) Air Temperature (1)
Day Length (1)
Enso Unspecified (2)
Photoperiod (1)
Precipitation (4)
Wind (3)
Unspecified (3)
Dispersal (14) Dispersal Potential (5)
Larval Dispersal (6)
Rafting (2)
Recruitment (1)
Reproduction Strategy (1)
Unspecified (1)
Disturbance (13) Freshwater Input (6)
Ice Scouring (3)
Sediment (8)
Turbidity (2)
Unspecified (1)
Growth Pattern (2) Growth Form (1)
Growth Potential (1)
Growth Rate (2)
Habitat (30) Availability (13)
Geographic Isolation (13)
Heterogeneity (8)
Type (10)
Historic/Evolutionary (18) Glaciation (1)
Macroevolutionary Dynamics (10)
Sea Level Change (1)
3
Tectonic Events (7)
Barriers (6)
Evolutionary Unspecified (4)
Oceanographic (43) Coastal Topography (10)
Conductivity (1)
Currents (21)
Depth Unspecified (2)
Enso Effects On Currents (1)
Hydrodynamics (4)
Light Attenuation (1)
Nutrients (15)
Oxygen (2)
pH (4)
Primary Productivity (12)
Salinity (15)
Sea Bottom Slope (2)
Sea Level Change (3)
Water Temperature/SST (38)
Suspension Particulate Matter (1)
Unspecified (2)
Upwelling (14)
Upwelling Seasonality (1)
Wave Exposure (14)
Physiological Tolerance (5) Desiccation Tolerance (2)
Eurybathy (1)
Thermal Stress (1)
Thermal Tolerance (1)
Unspecified (1)
Species Interactions (11) Algal Biomass (2)
Colonization (1)
Competition (3)
Dominance (2)
Facilitation (1)
Food Availability (1)
Functional Group (1)
Predation (2)
Species Richness (1)
Unspecified (3)
5 6
4
Table A2. Literature survey of studies evaluating the role of environmental variables as potential predictors of marine biogeographic 7 structure. Variables were classified according to 10 major classes of processes. Numbers show the number of variables cited as 8 potential drivers of biogeographic structure. Also shown are the most cited variables across all studies, indicating if the variable is 9 only cited (X) or cited and tested (T) by each particular study (also see Table A1). 10 11 Major Class/Process Top cited variables
Geographic Region Taxa/Habitat studied
Ant
hrop
ogen
ic F
orci
ng
Clim
atic
Dis
pers
al
Dis
turb
ance
Gro
wth
Pat
tern
Hab
itat T
ype
His
toric
Oce
anog
raph
ic
Phys
iolo
gica
l Tol
eran
ce
Spec
ies I
nter
actio
ns
Sea
Tem
pera
ture
Cur
rent
s
Nut
rient
s
Salin
ity
Upw
ellin
g
Wav
e Ex
posu
re
Reference
Global & "colder part of n. hemisphere" Crustose coralline red algae
2 1 3
T X
X
(1)
Southern Polar regions Encrusting faunas (shallow rocky)
1
2
3
X
X
(2)
Global Bivalves
3
T
T
(3)
NE Pacific Rocky intertidal macroinvertebrates and algae
2
1
5
1 T
X
X X
(4)
East coast of S. Africa Intertidal algae
2
4 1
X
X
X
(5)
Chile and Antarctica Decapod crustaceans
1
2 1
X
(6)
5
Global Coastal fishes mostly but discussion of other taxa
1 1
2 3 5
X X X
X
(7)
Southern African rocky shores
Rocky intertidal macroinvertebrates and algae
1
4 2
X
X T
(8)
Victoria, Australia Nearshore fish
1
2 1 4
1 X X X X
(9)
Global Rocky shores Rocky intertidal macroinvertebrates and algae 7 3
4
T
(10)
Eastern Pacific Shallow waters (Polar and Temperate)
Isopods
1
2
X X
(11)
Southwest Atlantic Tropical reef fishes
1 2
2 1 4
X X
X
(12)
Brazilian coast Reef fish
1 2
4 1 5
1 T
X
X
(13)
Atlantic Atlantic reef fish
1 2
2 3 4
X X
X X
(14)
Atlantic Opisthobranch gastropods
1
2
2
X X
(15)
SW Atlantic (<80 depth) Hydroids
1
2
X
(16)
Pacific coral region Reef-building coral (41 species) 1 1 3 1 3 2 1 4
3 X X
X
(17)
NE Pacific and NW Atlantic (<200m depth)
Marine algae (NEP) and gastropods (NWA)
1 1 3
X
X X
(18)
6
Tropical Eastern Pacific (TEP) Chaenopsid rocky shore reef fish
1
(19)
Chilean coast Sea anemones
1 1
1
2 1
X
(20)
Southeast Australia Rocky intertidal macroinvertebrates
1
1 1 2
1 X X
(21)
Global Nearshore Echinoderms (rocky intertidal and shallow rocky subtidal) 7
2
1
4
1 T
T
X
(22)
Rocky intertidal: Norway, Iceland, NE Canada Rocky intertidal animals
1
(23)
Iberian peninsula (Spain): Intertidal
Peracarid crustaceans (those associated with Corallina elongata)
2
1
5
5 T
(24)
Japan Sea Coastal fishes
1
2
T X
(25)
Chilean coast Rocky intertidal macroinvertebrates
1
3
X X
(26)
Southeast Australia Demersal fishes and macroinvertebrates - shallow rocky reefs
1
8
T X T X
T
(27)
Southwest Atlantic (36-55ºS) Macroalgae
1 1 2
X
X
(28)
Pacific coast of S. America Benthic algae
5
X
X X X
(29)
Japan Rocky intertidal macroinvertebrates and algae
1
1 1 5
X
X
(30)
7
Southeast Pacific (Chile mostly) Chilean litoral fishes
1
2
(31)
Portuguese intertidal Epifaunal crustaceans (those associated with macroalgae)
3
1 X X
X
(32)
Australia east coast Rocky intertidal animals (macro fauna)
1
4
T
X
T
(33)
Global Non-halacrid intertidal mites
(34)
Tropical Eastern Pacific (TEP) Shore fishes
1
1 2 3
X
X
(35)
Brazil Reef fish
1 1 1
1 4
X
X
(36)
Eastern Pacific Molluscs (gastropods and bivalves) shallower than 200 m
1
X
(37)
Mediterranean Sea Species associated with Cystoseira crinata assemblages
1 1 5
X X X X X
(38)
Western Indian Ocean - WIO (shallow water) Holothuroids (sea-cucumbers)
1 1
1 3
X X
(39)
New Zealand Rocky intertidal Macroalgae and invertebrates 1 2
2
5
1 X
X
X
(40)
N. Indian Ocean Macroalgae
4
T
X
X
(41)
NE Pacific Rocky intertidal Macroalgae and invertebrates
3 1 2
3
9 1 1 T X X T T T
(42)
8
New Zealand rocky intertidal
Rocky intertidal macroinvertebrates and algae
(43)
South Africa Macroalgae and invertebrates (220 species) 1
1
6
X
X
X X
(44)
Chilean coast Peracarid crustaceans (those associated with macroalgae)
1
3
X X
(45)
South Africa Coastal fishes
1 1 6
X X X
X X
(46)
S. Australia Macroalgae (1487 species from herbarium specimens)
1 4
1 X X X
X
(47)
12 13
9
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15
Table A3. Summary of the modified mCART to account for geographic differences in 131 sampling effort, for all species and separately by each classification scheme. We were 132 not able to find larval development type for 27 species of animalia. 133 134
Scheme (number of species) # Significant
breaks
Pseudo-R2
median (95% CI)
All Species (406) 5 0.77 (0.66-0.83) Animalia (235) 5 0.75 (0.65-0.84) Algae (171) 4 0.76 (0.65-0.83) Direct develop (43) 5 0.76 (0.62-0.87) Planktonic non-feeding larvae (85) 5 0.73 (0.62-0.83) Planktotrophic larvae (80) 4 0.69 (0.51-0.85)
135
16
136 Table A4. Adjusted Rand Index between biogeographic classification schemes (see main text). Jackknifed 95%CI are indicated in 137 parentheses. 138 139
All species
Algae
Animalia
Direct develop
Planktonic feeding larvae
Algae 0.971
(0.928-1.000)
Animalia 0.996 0.967
(0.989-1.000) (0.924-1.000)
Direct develop 0.703 0.716 0.705
(0.593-0.815) (0.609-0.825) (0.594-0.818)
Planktotrophic larvae 0.445 0.420 0.448 0.193
(0.358-0.537) (0.335-0.509) (0.359-0.542) (0.085-0.305)
Planktonic non-feeding larvae 0.889 0.871 0.891 0.734 0.372
(0.802-0.977) (0.779-0.965) (0.804-0.980) (0.632-0.839) (0.271-0.475)
140 141
17
Table A5. Relative importance (pseudo-R2) of the 29 environmental variables used to predict NEP biogeographic structure according 142
to random forest modeling for different classification schemes. Significant predictors (p <0.05) highlighted in bold. Also indicated is 143
the variance inflation factor (VIF) for each variable (values >5 indicate strong collinearity of the predictor). UDSSI stands for 144
upwelling/downwelling seasonal switch index (see main text). 145
Predictor
VIF All Species
Animals
Algae
Direct develop
Planktonic non-feeding
Planktotrophic
Silicate 143.8 0.13 0.14 0.13 0.13 0.11 0.09 Nitrate 150.3 0.12 0.12 0.12 0.14 0.10 0.02 Sea Surface Temperature 37.6 0.12 0.12 0.12 0.13 0.12 0.04 Phosphate 84.8 0.11 0.11 0.12 0.13 0.10 0.01 UDSSI 9.2 0.07 0.07 0.07 0.09 0.08 0.01 Air Temperature 54.6 0.05 0.06 0.07 0.05 0.08 0.06 Salinity 5.0 0.05 0.05 0.04 0.01 0.06 0.12 Precipitation Seasonality 35.6 0.05 0.05 0.05 0.02 0.04 0.13 Mean Tide Range 51.6 0.04 0.05 0.03 0.00 0.04 0.10 Upwelling Index 39.4 0.04 0.05 0.05 0.03 0.02 0.10 Photosynthetically Available Radiation 34.4 0.04 0.04 0.03 0.03 0.03 0.09 Oxygen 29.7 0.03 0.03 0.03 0.04 0.02 0.03 Cloud Cover 18.1 0.02 0.02 0.03 0.01 0.01 0.04 Annual Precipitation 57.0 0.02 0.02 0.02 0.01 0.05 0.03 Primary Productivity 3.2 0.01 0.01 0.01 0.04 0.02 0.02 pH 31.6 0.01 0.01 0.01 0.04 0.02 0.03 LGM Ice Extent - 0.01 0.01 0.00 0.00 0.00 0.02 Temperature Seasonality 21.8 0.01 0.01 0.01 0.01 0.01 0.02
18
Human Population 2.4 0.01 0.01 0.00 0.00 0.00 0.01 Air Temperature Annual Range 13.1 0.00 0.00 0.00 0.01 0.01 0.01 Wave Run-up 45.1 0.00 0.00 0.00 0.00 0.00 0.00 Shelf Area 2.2 0.00 0.00 0.00 0.00 0.00 0.00 Calcite 3.5 0.00 0.00 0.00 0.00 0.00 0.01 Significant Wave Height 27.1 0.00 0.00 0.00 0.00 0.00 0.00 Intertidal Slope 15.8 0.00 0.00 0.00 0.00 0.00 0.00 Upper Biologic Limit 4.4 0.00 0.00 0.00 0.00 0.00 0.00 Diffuse Attenuation 26.6 0.00 0.00 0.00 0.00 0.00 0.00 Chlorophyll a 29.6 0.00 0.00 0.00 0.00 0.00 0.00 Transect length 5.3 0.00 0.00 0.00 0.00 0.00 0.00
19
Supplementary Material Figure Legends 146 147 Figure A1. Accounting for bias in the assessment of NEP biogeographic 148
structure. A) Sampling frequency across the NEP. Each bar represents the sum 149
of the number of sites and times sampled per 1º bin. Each site (n=102) was 150
sampled once (n=37), twice (n=51) or three times (n=14). Blue dotted lines 151
show the position of 8 breaks identified by the bias-uncorrected mCART 152
shown in B). C) The bias-corrected procedure showing the breaks identified 153
by 10,000 runs of the mCART. D) A single realization of the corrected 154
mCART. 155
156
157
Figure A2. Bias corrected assessment of the biogeographic structure of NEP 158
species according to different groupings. A) All species combined, B) 159
Animalia, C) Algae, D) Direct develop, E) Planktonic non-feeding larvae, F) 160
Planktonic feeding (Planktotrophic) larvae. The locations of significant 161
biogeographic breaks are depicted as peaks (ºN in red).162
20
Figure A1.
21
Figure A2.