TY - JOUR
T1 - Functional diversity patterns of reef fish, corals and algae in the Brazilian biogeographical province
AU - Luza, André L.
AU - Aued, Anaide W.
AU - Barneche, Diego R.
AU - Dias, Murilo S.
AU - Ferreira, Carlos E.L.
AU - Floeter, Sergio R.
AU - Francini-Filho, Ronaldo B.
AU - Longo, Guilherme O.
AU - Quimbayo, Juan P.
AU - Bender, Mariana G.
N1 - Funding Information:
This research was conducted by the Reef Synthesis Working Group (ReefSYN) funded by the Synthesis Center on Biodiversity and Ecosystem Services (SinBiose, CNPq, #442417/2019-5 to MGB). Researchers from the ‘Brazilian Marine Biodiversity Research Network—SISBIOTA-Mar’ (CNPq #563276/2010-0 and FAPESC #6308/2011-8 to SRF) and ‘Programa de Monitoramento de Longa Duração das Comunidades Recifais de Ilhas Oceânicas—PELD ILOC’ (CNPq 441327/2020-6, to CELF) collected and shared datasets used in this research. Data were collected following Brazilian government legislation. This includes authorization to the SISBIOTA-Mar project to conduct underwater visual censuses and assess images of the benthic communities along the Brazilian reefs, under the permits # 06/2012 (Parcel do Manuel Luis; SEMA-MA), # 29953-1 (Rocas Atoll; ICMBio/MMA—Brazilian Ministry of Environment (BME)), # 29687-2 (Fernando de Noronha; ICMBio/MMA—BME), # 32145-1 (Costa dos Corais, ICMBio/MMA—BME), # 22637 (Abrolhos, ICMBio/MMA—BME), # 4416-1 (Trindade Island, ICMBio/MMA—BME), # 37869 (Alcatrazes, ICMBio/MMA—BME), # 21422 (REBIO Arvoredo, ICMBio/MMA—BME), and for RN Maracajaú (APA dos Recifes de Corais, IDEMA-RN). ALL received post-doctoral fellowships from CNPq (#153024/2022-4, #164240/2021-7, #151228/2021-3, #152410/2020-1) and CAPES (PDPG-POSDOC, #88887.800011/2022-00). JPQ received post-doctoral fellowships from FAPESP (2018/21380-0 and 2021/09279-4). GOL is grateful to his research productivity scholarship provided by CNPq (#310517/2019-2), and to Serrapilheira Institute (Grant No. Serra-1708-15364) for continued research support. CELF, RBFF and SRF are grateful for their research productivity scholarships provided by CNPq (#304004/2018-9 to CELF, #309651/2021-2 to RBFF, and # 307340/2019-8 to SRF). We thank Barbara Segal for suggestions during the course of this study.
Funding Information:
This research was conducted by the Reef Synthesis Working Group (ReefSYN) funded by the Synthesis Center on Biodiversity and Ecosystem Services (SinBiose, CNPq, #442417/2019‐5 to MGB). Researchers from the ‘Brazilian Marine Biodiversity Research Network—SISBIOTA‐Mar’ (CNPq #563276/2010‐0 and FAPESC #6308/2011‐8 to SRF) and ‘Programa de Monitoramento de Longa Duração das Comunidades Recifais de Ilhas Oceânicas—PELD ILOC’ (CNPq 441327/2020‐6, to CELF) collected and shared datasets used in this research. Data were collected following Brazilian government legislation. This includes authorization to the SISBIOTA‐Mar project to conduct underwater visual censuses and assess images of the benthic communities along the Brazilian reefs, under the permits # 06/2012 (Parcel do Manuel Luis; SEMA‐MA), # 29953‐1 (Rocas Atoll; ICMBio/MMA—Brazilian Ministry of Environment (BME)), # 29687‐2 (Fernando de Noronha; ICMBio/MMA—BME), # 32145‐1 (Costa dos Corais, ICMBio/MMA—BME), # 22637 (Abrolhos, ICMBio/MMA—BME), # 4416‐1 (Trindade Island, ICMBio/MMA—BME), # 37869 (Alcatrazes, ICMBio/MMA—BME), # 21422 (REBIO Arvoredo, ICMBio/MMA—BME), and for RN Maracajaú (APA dos Recifes de Corais, IDEMA‐RN). ALL received post‐doctoral fellowships from CNPq (#153024/2022‐4, #164240/2021‐7, #151228/2021‐3, #152410/2020‐1) and CAPES (PDPG‐POSDOC, #88887.800011/2022‐00). JPQ received post‐doctoral fellowships from FAPESP (2018/21380‐0 and 2021/09279‐4). GOL is grateful to his research productivity scholarship provided by CNPq (#310517/2019‐2), and to Serrapilheira Institute (Grant No. Serra‐1708‐15364) for continued research support. CELF, RBFF and SRF are grateful for their research productivity scholarships provided by CNPq (#304004/2018‐9 to CELF, #309651/2021‐2 to RBFF, and # 307340/2019‐8 to SRF). We thank Barbara Segal for suggestions during the course of this study.
Publisher Copyright:
© 2023 John Wiley & Sons Ltd.
PY - 2023/6
Y1 - 2023/6
N2 - Aim: Functional diversity encapsulates whole-community responses to environmental gradients mediated by species traits. Under trait convergence, similar responses may cause distantly related taxa to exhibit spatially correlated functional diversity. We investigated whether similar responses of reef fish, coral and algal functional richness and disparity to the environment produce spatially correlated functional diversity patterns. Location: Brazilian marine biogeographical province. Taxon: Reef fish, corals, algae. Methods: We analysed data from 40 coastal and oceanic sites distributed across 27 degrees of latitude in the Brazilian province. Using traits, we measured functional richness (FRic) and disparity (Rao's Q) and calculated Pearson's correlation ((Formula presented.)) between pairs of metrics and taxa. We used Bayesian multivariate linear models to model taxa functional richness and disparity relative to sea surface temperature (SST), turbidity, salinity, species richness and region, and to estimate the residual correlation ((Formula presented.)) between metrics after accounting for these variables. Results: The best fitted model contained SST, species richness and region, and explained about 56% of the variation in FRic and Rao's Q across taxa. Yet, FRic and Rao's Q of fish, algae and corals responded differently to environmental variables. Functional diversity metrics were less correlated between algae and corals than compared to fish. Observed correlations of FRic and Rao's Q were low to intermediate across taxa (average (Formula presented.) = 0.14), and residual correlations were even lower (average (Formula presented.) = 0.02). Main conclusions: SST, species richness and region had a widespread role in determining spatially congruent functional diversity offish, algae and corals across Brazilian reefs, despite their fundamentally different evolutionary histories. Low residual spatial correlations suggest that other mechanisms might also contribute to functional diversity patterns of reef taxa independently. Given the role of SST, species richness and region, the functional structure of these reefs might be compromised by climate change, pollution and overfishing.
AB - Aim: Functional diversity encapsulates whole-community responses to environmental gradients mediated by species traits. Under trait convergence, similar responses may cause distantly related taxa to exhibit spatially correlated functional diversity. We investigated whether similar responses of reef fish, coral and algal functional richness and disparity to the environment produce spatially correlated functional diversity patterns. Location: Brazilian marine biogeographical province. Taxon: Reef fish, corals, algae. Methods: We analysed data from 40 coastal and oceanic sites distributed across 27 degrees of latitude in the Brazilian province. Using traits, we measured functional richness (FRic) and disparity (Rao's Q) and calculated Pearson's correlation ((Formula presented.)) between pairs of metrics and taxa. We used Bayesian multivariate linear models to model taxa functional richness and disparity relative to sea surface temperature (SST), turbidity, salinity, species richness and region, and to estimate the residual correlation ((Formula presented.)) between metrics after accounting for these variables. Results: The best fitted model contained SST, species richness and region, and explained about 56% of the variation in FRic and Rao's Q across taxa. Yet, FRic and Rao's Q of fish, algae and corals responded differently to environmental variables. Functional diversity metrics were less correlated between algae and corals than compared to fish. Observed correlations of FRic and Rao's Q were low to intermediate across taxa (average (Formula presented.) = 0.14), and residual correlations were even lower (average (Formula presented.) = 0.02). Main conclusions: SST, species richness and region had a widespread role in determining spatially congruent functional diversity offish, algae and corals across Brazilian reefs, despite their fundamentally different evolutionary histories. Low residual spatial correlations suggest that other mechanisms might also contribute to functional diversity patterns of reef taxa independently. Given the role of SST, species richness and region, the functional structure of these reefs might be compromised by climate change, pollution and overfishing.
KW - community assembly
KW - cross-taxon diversity
KW - functional metrics
KW - niche differentiation
KW - trait space
UR - http://www.scopus.com/inward/record.url?scp=85150882991&partnerID=8YFLogxK
U2 - 10.1111/jbi.14599
DO - 10.1111/jbi.14599
M3 - Article
AN - SCOPUS:85150882991
SN - 0305-0270
VL - 50
SP - 1163
EP - 1176
JO - Journal of Biogeography
JF - Journal of Biogeography
IS - 6
ER -