swath surveys. linking swath to upc 10 points counts species, substrate, relief section 1section...
TRANSCRIPT
Swath surveys
Linking Swath to UPC
10 points 10 points 10 points 10 points 10 points 10 points
counts counts counts counts counts counts
Species, Substrate, Relief
Section 1 Section 2 Section 3 Section 4 Section 5 Section 6
ExampleCable distance
Side Section Substrate % Relief % UPC species
% Swath Species
counts
110 Deep 1 Bedrock 20 F 30 BranchyRed
10 Macrocystis 2
110 Deep 1 Boulder 40 S 10 Leafy Red
10 Cystoseira 6
110 Deep 1 Cobble 10 M 30 Cup corals
0 Patiria 5
110 Deep 1 Sand 30 H 30 Sponge 0 Pisaster 2
More
Analytical approach
1. Set up a raw data matrix
Species 1 2 3 4 5 etc.
Transect/SectionS110, 1 54 0 0 5 0S110, 2 37 1 0 4 0S110, 3 68 2 0 2 0S110, 4 60 0 0 0 1S110, 5 47 0 0 2 0S110, 6 60 0 0 0 0etc.
2. Calculate a dissimilarity (Bray-Curtis) matrix
S110,1 S110,2 S110,3 S110,4 S110,5 S110,6 etc.
S110,1 .000
S110,2 .203 .000
S110,3 .666 .652 .000
S110,4 .216 .331 .759 .000
S110,5 .328 .410 .796 .191 .000
S110,6 .336 .432 .796 .183 .054 .000
etc.
Linking biological communities to other communities or environmental variables
• Are differences in species composition related to differences in other communities or to associated environmental variables?
BIO-ENV procedure
Samples
Speciesabundances
Envvariables
Euclidean
Bray-Curtis
Subsets ofvariables
Rank correlation- Spearman- Weighted Spearman
Similarity/Dissimilarity matrix
Swath Matrix
UPC Species Matrix
UPC Habitat Matrix=
110, 1 vs 110, 2
Cable distance, section
SAMPLE1 SAMPLE2 HABITAT UPC Species Swath Species
100Deep1 100Deep2 26.45751311 45.64660208 26.75672112
100Deep1 100Deep3 42.42640687 32.120788 41.53649771
100Deep1 100Deep4 26.45751311 62.83970173 30.77990704
100Deep1 100Deep5 33.1662479 48.09984974 44.91068164
100Deep1 100Deep6 28.28427125 50.15522278 35.84000683
100Deep1 100Shallow1 30 56.1168548 49.60762989
100Deep1 100Shallow2 58.30951895 52.03166864 60.18648399
100Deep1 100Shallow3 26.45751311 71.72398383 43.14766078
100Deep1 100Shallow4 22.36067977 63.27472869 54.24428506
100Deep1 100Shallow5 53.85164807 61.07488731 73.81040148
100Deep1 100Shallow6 42.42640687 57.58597575 54.99411833
Dissimilarity
Habitat dissimilarity
Swath Species Dissimilarity ?
Habitat dissimilarity
Swath Species Dissimilarity
UPC species dissimilarity
Prediction
Habitat dissimilarity
Swath Species Dissimilarity
UPC species dissimilarity
Null Hypothesis
If there is a match
• Look at specific species to determine if associations make sense– For example: is Macrocysitis found in sandy
habitats– Species selected
• Marcrocystis and Cystoseira• Balanus nubilus and Styela• Cryptochiton and Lithopoma• Patiria and Pisaster giganteus
Questions to be addressed
• Is there an association between Swath species composition and (1) UPC species composition and/or (2) habitat attributes?– This needs to be motivated in intro and discussed in discussion. Why
would we be interested in this question? Why is it important? What would you predict?
• Do the associations differ in relative strength?– This needs to be motivated in intro and discussed in discussion. What
is the essential question here? Is there a basis for a prediction? • For select species are there a set of strong associations/dis-
associations and do these make sense?– This needs to be motivated in intro and discussed in discussion. Can
you make predictions? Why would we care about this?