Polygons of BS benthos 8 16 58. Spec. Bio 50 Data background per polygon Polygon Area name Atlantis Poly New Poly nr Spatial loc Commu nitiesStations

Polygons of BS benthos

8

16

58

Spec. Bio 50

Data background per polygonPolygon Area

nameAtlantis

PolyNew Poly nr

Spatial loc

Communities Stations

Removes

Mean Depth

Species (n)

MeanBio

MeanAbu BioDom BioVal

B/A Dom B/A Val AbuBom AbuVal

Tromsø flaket W 2 5Coast 2 2 0 204 34 87.6 9.23Cucumaria frondosa 950

Cucumaria frondosa 475.0

Thenea muricata 50

NordKapp Banken E 3 41Open S 5 38 7 302 130 2893 171.6Geodia sp 274477.06Geodia sp 5966.9Ctenodiscus crispatus 5055

Kola coast open sea 4 33Coast 6 35 11 199 140 637.9 84.1Paralithodes camtschaticus 31272

Paralithodes camtschaticus 1954.5

Ctenodiscus crispatus 4082

Kapp Kanin North 5 35Coast 7 18 0 73 59 511.3 74.5Porifera indet 5888.8


Sabinea septemcarinata 2170

NZ South 6 38Coast 12 98 0 159 149 5009.9 849.7Ctenodiscus crispatus 163583.91Geodia sp 710.3


NZ coast 7 45Coast 5 41 1 165 148 11894.1 1019.8Strongylocentrotus sp 413107.9

Gorgonocephalus sp 265.2

Strongylocentrotus sp 26864

Kara Sea North 8 ? OpenN 4 9 0 285 65 943.6 45.3Gorgonocephalus arcticus 20890.95


Strongylocentrotus sp 862

East B N 9 44Open N 8 94 1 283 137 17357.1 1835.9Strongylocentrotus sp 329821.68

Epizoanthus sp 582.7

Ophiacantha bidentata 37075

FJL West 10 48Open N 6 54 0 322 105 10556.1 1108.3Porifera indet 283136.17Hydroidea indet 472.0

Ophiopleura borealis 37928

Stor Bank 11 47Bank 4 28 0 224 115 6103.7 616.2Gorgonocephalus sp 240343.61

Asterias rubens 218.2

Ophiopleura borealis 17086

Cental B 12 43Bank 3 14 2 215 117 1586.4 674.4Strongylocentrotus sp 29803.36

Gorgonocephalus eucnemis 415.1

Spiochaetopterus typicus 38781

central bank south 13 40Bank 5 19 2 260 120 621.5 180Porifera indet 24825Metridium senile 366.2


Svalbard SE 14 26Open C 6 23 2 181 157 5222 1060.9Ophiuroidea sp 353624.04Phakellia ventilabrum 350.0Ophiuroidea sp 92163

Svalba NE 15 49Open N 7 38 1 221 146 1862.5 182.9Porifera indet 70901.62

Gorgonocephalus eucnemis 372.3


FJL North 16 ? Open N 2 6 0 203 73 2585.3 831.1Ophiacantha bidentata 50799

Porifera indet 214.7


Polar Sea 17 ? Open N 1 1 0 485 30 28.3 5.8Sclerocrangon boreas 185.29

Gorgonocephalus arcticus 145.6


East B S 29 39Open S 8 66 0 313 120 5992.2 78.1Ciona intestinalis 107725.44Asterias rubens 358.0


Spitsb. Bank 31 24Bank 4 14 6 87 134 7720 823.1Cucumaria frondosa 373570.97

Porifera indet 378.5

Ascidiacea indet 42903

Svalbard W 32 21Coast 5 10 0 275 110Communities 73.1Geodia sp 7395.39

Gorgonocephalus arcticus 355.8


StordFjord og Sør 33 23Coast Open 3 16 5 234 150 1189.5 198Strongylocentrotus sp 95920.52

Hippasteria phrygiana 622.2


Bear Is Ch 34 25Open S 9 68 18 389 174 7469.3 422.6Geodia sp 952166.96Geodia sp 1269.6Ctenodiscus crispatus 21864

Hopen deep 38 42Open S 7 77 22 322 168 4188.1 1271.6Ctenodiscus crispatus 200374.25



Pechora Sea 40 37Coast 6 21 0 73 84 1783.9 340Sabinea septemcarinata 32112.12


Sabinea septemcarinata 10082

Finnmark Open Sea 41 30Coast 12 24 7 298 120 1212 67.7Geodia sp 42724.94Geodia sp 4272.5Macandrevia cranium 2324

Tromsø flaket 42 27Coast 7 9 2 332 79 79851.3 250.4Geodia sp 5987662.5Geodia sp 3207.1Astarte sp 4556

King crab 43 34Coast 8 107 2 105 126 57356.3 67.5Paralithodes camtschaticus 7015172.16


Paralithodes camtschaticus 2711

Finnmark Coast Line 48 29Coast 3 3 0 156 33 95.9 16

Paralithodes camtschaticus 2070

Paralithodes camtschaticus 1035.0Natantia sp 185

Kola coast line 49 31Coast 4 4 1 191 24 1565.4 12.08Geodia sp 31314Geodia sp 1252.6Terebratulina retusa 171

Svalbard fjords 51 22Fjords 6 11 0 218 107 375.4 69.3Ctenodiscus crispatus 12076.44

Gorgonocephalus arcticus 209.4Ophiura sarsi 1542

Kara Sea North E 58 ? Open N 2 8 0 367 62 2389.2 131.7Gorgonocephalus arcticus 80968.5

Urasterias linckii 468.8Porifera indet 3040

Is the number of communities depended on number of stations in each of the polygons

Is the number of species depended on the number of stations within each polygon ?

Is the mean biomass depended on number of stations within each polygon

Is the mean abundance depended on the number of stations in each polygon

Is the number of species depended on number of communities in each polygon

Does coastal polygons have more communities than bank and open-sea polygons ?

Does the number of communities depends on the depth ?

Polygon Area name New Poly nr Mean Depth Species (n) B/A Dom B/A Val

NordKapp Banken E 41 302 130 Geodia sp 5966.9

Kapp Kanin North 35 73 59 Paralithodes camtschaticus 4510.0

Finnmark Open Sea 30 298 120 Geodia sp 4272.5

Tromsø flaket 27 332 79 Geodia sp 3207.1

King crab 34 105 126 Paralithodes camtschaticus 2587.7

Kola coast open sea 33 199 140 Paralithodes camtschaticus 1954.5

Bear Is Ch 25 389 174 Geodia sp 1269.6

Where do we find the largest “bodies”

Polygon Area name New Poly nr Mean Depth Species (n) BioDom BioVal

King crab 34 105 126 Paralithodes camtschaticus 7015172.16

Tromsø flaket 27 332 79 Geodia sp 5987662.5

Bear Is Ch 25 389 174 Geodia sp 952166.96

NZ coast 45 165 148 Strongylocentrotus sp 413107.9

Spitsb. Bank 24 87 134 Cucumaria frondosa 373570.97

Svalbard SE 26 181 157 Ophiuroidea sp 353624.04

East B N 44 283 137 Strongylocentrotus sp 329821.68

Where do we find the largest biomass

Polygon Area name New Poly nr Mean Depth Species (n) AbuBom AbuVal

Svalbard SE 26 181 157 Ophiuroidea sp 92163

Hopen deep 42 322 168 Ctenodiscus crispatus 85970

FJL North ? 203 73 Ophiacantha bidentata 46065

NZ South 38 159 149 Ctenodiscus crispatus 45784

Spitsb. Bank 24 87 134 Ascidiacea indet 42903

Cental B 43 215 117 Spiochaetopterus typicus 38781

FJL West 48 322 105 Ophiopleura borealis 37928

East B N 44 283 137 Ophiacantha bidentata 37075

NZ coast 45 165 148 Strongylocentrotus sp 26864

Where do we find the highest abundances

What to do•Station (n)•Number of communities (Benjamin)•Comm. heterogenity•mean depth – comparisons ETC•species richness•mean abundance•mean biomass•Phylogenetic biodiversity (Magnus)•Eveness•Shannon index•Simpson •Skewness •Kurtosis •Species area curves•Tot B/A•Largest sp (g)•Largest sp name•Largest sp function•Top ten B /and A•Top 10 species history

Polygon (within and between comparisons)

Species history (within and between species)

Gradients (within and between polygons)

• Trawl impact on community structure and complexity

• Snow-King crab impact on community structure and complexity

• Temperature impact on community structure and complexity

20 ° 25 ° 30 ° 35 ° 40 ° 45 ° 50 ° 55 ° 60 ° 65 ° 70 °68 °

69 °

70 °

71 °

72 °

73 °

74 °

75 °

76 °

77 °

78 °

79 °

80 °

B a ren ts S eaA

B

High stability and low lifespan turnover

Low stability and high lifespan turnover

Basin of attractiondepth ?

Basin of attractiondepth?Threshold, step-

trends, critically rapid transition, tipping point

Along a gradient or in time

Disturbed end-member community

Resilience of an degraded community often makes it difficult for the system to return to its previous, non-degraded state limiting the potential for restoration.

Social-ecological system delivering ecosystem goods and services

Regime shift

Dying out

Key sp. w. important functions

What's the indicator species

Recovery (engineering resilience)

Dee

p-bu

rrow

ing

and

biot

urba

ting

taxa

Teories1. Large organisms represent “k-selective”

specimens (biomass is important)2. Many, small organisms represent “r-selective”

specimens (A and B is important)3. Cumulative species history represent the

“status” (Species number is important)Hypothesis: stations with high degree of trawl

impact has low “1”, high “2” and low “3” and visa versa (another history for king/snow crab)

How to present the results ?

• Colour polygons according to results– Is there any consistence or pattern ?– Does the species history tell why ?– Temperature “impact”– Impact from invasive top predators– Fishing impact .......

VMS and fishing impact

• Vessel Monitoring System• Introduced in Norway in 2000• All fishing vessels > 15 m (since 2010)• Date, time, vessel, position, speed, heading• Hourly resolution• VMS data = proxy for trawling impact?

The ATLANTIS polygons

VMS data from one year: 2006

Filtered by vessel speed: 2-5 knots

Red dots: assumption of trawling

VMS data joined to polygons

Symbolised by vms position counts, ≈ for total no. of hrs trawled

Documents

Polygons of BS benthos 8 16 58. Spec. Bio 50 Data background per polygon Polygon Area name Atlantis Poly New Poly nr Spatial loc Commu nitiesStations