Alan Friedlander 1 Mary Donovan 1 Kosta Stamoulis 1 Ivor Williams 2 1 Fisheries Ecology Research Lab Univ Hawaii 2 CRED PIFSC NOAA Outline amp Products Data collection and breadth ID: 539298
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Slide1
Meta-analysis of reef fish data in Hawaii to examine natural and anthropogenic processes
Alan Friedlander
1, Mary Donovan1,Kosta Stamoulis1, Ivor Williams2, 1Fisheries Ecology Research Lab, Univ. Hawaii2CRED, PIFSC, NOAASlide2
Outline & ProductsData collection and breadth
Length-weight relationshipsSpatial and temporal comparisonBio-regionalizationAssemblage structureEndemism
Human ImpactsGradientsSpatial analysisModeling driversComparison of methodsModeling fish assemblages across biogeographic & anthropogenic gradientsSlide3
Length-weight Parameters for Hawaiian Reef FishesPublished for the first time
112 species total33 Hawaiian EndemicsSubset Species used in temporal and regional comparisonsLarge differences when compared to known values from other regionsSlide4
Program
Contributor
Year rangeGeographic coverageMethodNNOAA RAMP CRED
Williams
2000-2012
NWHI and MHI
Belt
< 2008
, SPC
2008
7845
TNC
Conklin
2008-2012
StatewideBelt814DAR - KonaWalsh1999-2012West HawaiiBelt10240DAR - MauiSparksMauiBeltDAR - OahuSchumacherOahuBeltNational Park ServiceBrown, Friedlander, Beets2008-2012Kalaupapa, Kaloko, Honaunau, PuukoholaBelt501FHUS (NOAA Biogeography)Friedlander, Brown, 2000-200412 MLCDs & adjacent areas statewideBelt2021FHUS (NOAA Biogeography)Friedlander, Wedding2004-08Pupukea, Honolua, Kealakekua, HanaumaBeltFERLFriedlander1992-2012HanaleiBelt120FERLFriedlander2010, 2012Oahu, Lanai, KauaiBelt542CRAMPRodgers, Brown, Friedlander1998-2012StatewideBelt380TOTAL22463
Fish Survey DatasetsSlide5
Number of fish surveys by Island Slide6
Archipelago-level survey effort
Williams et al. 2008
This Study6005655752340
266
571
32
133
908
60
644
239
535
1070
2508
1032752678Slide7
BiogregionalizationAssemblages vary between NWHI and MHI
Species composition varies along latitudinal gradientRelated to geographic extent of species distributionsLatitudinal correlations exist for a variety of species
Higher level of endemism in NWHISlide8
Biomass
Abundance
ANOSIM R: 0.57, p < 0.01ANOSIM R: 0.47, p < 0.01NihoaMolokaiMaroNiihauLaysan
Kahoolawe
Kauai
Oahu
Maui
Lanai
Hawaii
Kure
Lisianski
Necker
Midway
P&H
FFSNihoaMolokaiMaroNiihauLaysanKahoolaweKauaiOahuMauiLanaiHawaiiKureLisianskiNeckerMidwayP&HFFSMultidimensional examination of fish species assemblagesStress = 0.09Stress = 0.013 Assemblages distinct between MHI & NWHI Higher concordance using biomassSlide9
EOO = Extent of Occurrence
Measuring species’ range size
EOO = Extent of OccurrenceThe area encompassed by the minimum convex polygon of occurrenceSlide10
EOO (km
2
)
Prop of Density
Gradient of range size with LatitudeSlide11
Zoogeography with LatitudeSlide12
Endemic species
25% species endemic to Hawaii
Numerical endemism is 50% in NWHI compared to 20% in MHI
Higher endemism at the N end of chainSlide13
Human ImpactsGradient of fish biomass within the MHI
Large difference in total biomass comparing NWHI and MHIFish assemblages have high concordance with traditional Hawaiian management systemsComparison of MPAs across MHI Slide14Slide15
Data Source: State of Hawaii Slide16
Boosted Regression Tree Analysis of Fish Biomass with
large-scale Habitat Variables
Relative % variance explainedSlide17
Fish Biomass Gradient by
Moku
and IslandSlide18
Fish Biomass and Human Population by MokuSlide19
Pali
Komohana (Maui)Kona (O‘ahu)Kaho‘olaweKo‘olau (Moloka‘i)Napali (Kaua‘i)Slide20
Fish biomass by Marine Protected areaSlide21
Comparison of fish biomass by protected status & islandSlide22
Mahalo
mdono@hawaii.edu