Meta-analysis of reef fish data in Hawaii to examine natural and anthropogenic processes - PowerPoint Presentation

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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, NOAA

Outline & ProductsData collection and breadth

Length-weight relationshipsSpatial and temporal comparisonBio-regionalizationAssemblage structureEndemism

Human ImpactsGradientsSpatial analysisModeling driversComparison of methodsModeling fish assemblages across biogeographic & anthropogenic gradients

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 regions

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 Datasets

Number of fish surveys by Island

Archipelago-level survey effort

Williams et al. 2008

This Study6005655752340

266

571

32

133

908

60

644

239

535

1070

2508

1032752678

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 NWHI

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 biomass

EOO = Extent of Occurrence

Measuring species’ range size

EOO = Extent of OccurrenceThe area encompassed by the minimum convex polygon of occurrence

EOO (km

2

)

Prop of Density

Gradient of range size with Latitude

Zoogeography with Latitude

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 chain

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

Data Source: State of Hawaii

Boosted Regression Tree Analysis of Fish Biomass with

large-scale Habitat Variables

Relative % variance explained

Fish Biomass Gradient by

Moku

and Island

Fish Biomass and Human Population by Moku

Pali

Komohana

(Maui)Kona (O‘ahu)Kaho‘olaweKo‘olau (Moloka‘i)Napali (Kaua‘i)

Fish biomass by Marine Protected area

Comparison of fish biomass by protected status & island

Mahalo

mdono@hawaii.edu