Bio‐ORACLE v2.0: Extending marine data layers for bioclimatic modelling

Assis, Jorge; Tyberghein, L.; Bosch, Samuel; Verbruggen, Heroen; Serrão, Ester Á.; Clerck, Olivier De

doi:10.1111/geb.12693

Cited by 740 publications

(600 citation statements)

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“…Remarkably, although the hotspots of endemic diversity for L. ochroleuca occur at the warmer range margins, all are in upwelling coldspots receiving cold nutrient‐rich waters (Gibraltar Strait, Morocco, Azores). Offshore seamounts may further retain ancient diversity during warming periods (Assis et al., ), as increased light penetration allows deeper (colder) settlements (Assis, Tyberghein, et al., ; Graham et al., ; Santelices, ). The diversity patterns found in the deep populations of the Azores and the Iberian seamounts support the refugial hypothesis; however, the high differentiation of the Azores indicates that this region was colonized much earlier than the separation of all other populations and has remained isolated since then.…”

Section: Discussionmentioning

confidence: 99%

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Past climate changes and strong oceanographic barriers structured low‐latitude genetic relics for the golden kelp Laminaria ochroleuca

Assis

Serrão

Coelho

et al. 2018

Journal of Biogeography

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114

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Aim Drivers of intraspecific biodiversity include past climate‐driven range shifts and contemporary ecological conditions mediating connectivity, but these are rarely integrated in a common comprehensive approach. This is particularly relevant for marine organisms, as ocean currents strongly influence population isolation or connectivity, keeping or diluting the signatures left by past climates. Here we ask whether the coupling between past range shifts and contemporary connectivity explain the extant gene pools of Laminaria ochroleuca, a large brown alga structuring important marine forests from shallow to deep infralittoral grounds. Location Northeastern Atlantic Ocean. Taxon Laminaria ochroleuca. Methods We estimated population genetic diversity and structure of L. ochroleuca across its entire distribution range using 15 polymorphic microsatellite markers. This was compared with the outcomes of a palaeoclimatic model predicting latitudinal and depth range shifts from the Last Glacial Maximum (LGM) to the present. Genetic differentiation was further compared with potential connectivity inferred with a biophysical model developed with high‐resolution data from HYCOM (Hybrid Coordinate Ocean Model). Results The biogeographical distribution of genetic variability showed overall agreement with the predictions from independently inferred past range shifts. Multiple regions of persistence were identified in deep and upwelling settings at the lowest latitudes of the current species distribution, where higher and unique genetic diversity was retained. The biophysical model revealed that despite the possibility of long‐distance migration, contemporary oceanographic barriers strongly restrict connectivity of isolated genetic lineages. Main conclusions Integrating different processes at biogeographical scales explained the extant gene pools of marine forests of L. ochroleuca. Low‐latitude genetic relics harbour a disproportional evolutionary significance, persisting as ancient populations in isolated deep and upwelling climate refugia. Their inferred rates of dispersal may be insufficient to accommodate anticipated climate warming.

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Section: Discussionmentioning

confidence: 99%

“…(panel a) Current distribution of Laminaria ochroleuca (black line; inferred by Assis, Araújo, et al., ; Araújo et al., ), sampled sites, and refugial regions (striped polygons; Assis, Tyberghein, et al., ). (panel b) Distribution during the Last Glacial Maximum (Assis, Araújo, et al., ).…”

Section: Methodsmentioning

confidence: 99%

Past climate changes and strong oceanographic barriers structured low‐latitude genetic relics for the golden kelp Laminaria ochroleuca

Assis

Serrão

Coelho

et al. 2018

Journal of Biogeography

Self Cite

114

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“…WorldClim provides interpolated data layers, consisting of long‐term average monthly temperature and precipitation values, based on observations from weather stations world‐wide. Recently, other open‐access bioclimatic databases have been created, based not merely on statistic interpolation from weather stations, but also on quasi‐mechanistic statistical downscaling (CHELSA: Karger et al., ), satellite information (MERRAclim: Vega, Pertierra, & Olalla‐Tárraga, , ), or a combination of these (Bio‐ORACLE: Assis et al., ; Tyberghein et al., ; MARSPEC: Sbrocco & Barber, ).…”

Section: Introductionmentioning

confidence: 99%

Input matters matter: Bioclimatic consistency to map more reliable species distribution models

Morales‐Barbero

Vega‐Álvarez

2018

Methods Ecol Evol

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Accuracy of global bioclimatic databases is essential to understand biodiversity–environment relationships. Many studies have explored biases and uncertainties related to species distribution models (SDMs) but the effect of choosing a specific database among the different alternatives has not been previously assessed. The lack of bioclimatic congruence (degree of agreement) between different databases is a main concern in distribution modelling and it is critical in single‐source models, for which the database choice is decisive. In order to prevent unreliable predictions derived from distorted input data, SDMs accuracy can be assessed by mapping model predictions according to a bioclimatic congruence measure derived from the comparison of multiple databases, which can be achieved with the bioclimatic consistency maps that we propose in this study. Here, (a) we present the first global‐scale bioclimatic congruence map to analyse environmental mismatches between recently updated bioclimatic databases. We also test the importance of input matters on the reliability of distribution models of sixteen mammals, by addressing (b) inconsistencies among species response curves (temperature and precipitation), and (c) discrepancies among SDMs predictions depending on the chosen bioclimatic database. Finally, (d) we propose a strategy to assess bioclimatic consistency of model predictions, showing its application to the specific case of Litocranius walleri. Our results confirm that the single‐source modelling approach greatly influences the estimation of species–environment relationship and consequently, bias spatial predictions derived from SDMs. This is especially true for studies conducted in polar and mountainous regions which showed the smallest bioclimatic congruence. We show that by adding bioclimatic congruence to SDMs projections, we can build a bioclimatic consistency map that enables the detection of both risky and consistent areas, as revealed for the case of L. walleri. Assessing uncertainty in bioclimatic input data is key to avoid erroneous conclusions in macroecological and biogeographical studies. The spatial characterization of bioclimatic consistency provides an adequate empirical framework which effectively illustrates bioclimatic data limitations. We strongly recommend that this new strategy should be formally and systematically incorporated into distribution modelling to build more reliable SDMs, which are essential to develop successful biodiversity conservation programmes.

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“…We obtained 77 environmental layers from the Bio‐ORACLE website (http://www.oracle.ugent.be/) (Assis et al, ; Tyberghein et al, ), MARSPEC (http://www.marspec.org/) (Sbrocco & Barber, ), and ECOCLIMATE (http://www.ecoclimate.org/) (Lima‐Ribeiro et al, ). Because Bio‐ORACLE and MARSPEC have 5 arcminute resolution and ECOCLIMATE 30 arcminute resolution, we employed the program DIVA‐GIS to preprocess the layers for downstream analyses, to make the resolutions compatible by dividing ECOCLIMATE grid cells (Hijmans, Guarino, Cruz, & Rojas, ).…”

Section: Methodsmentioning

confidence: 99%

Evaluating the boundaries of marine biogeographic regions of the Southwestern Atlantic using halacarid mites (Halacaridae), meiobenthic organisms with a low dispersal potential

Pepato

Vidigal

Klimov

2019

Ecology and Evolution

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Aim We evaluated traditional biogeographic boundaries of coastal marine regions in Southwestern Atlantic using DNA sequence data from common, rocky‐shore inhabiting, marine mites of the genera Agauopsis and Rhombognathus, family Halacaridae. Methods We investigated geographic population genetic structure using CO1 gene sequences, estimated divergence times using a multigene dataset and absolute time‐calibrated molecular clock analyses, and performed environmental niche modeling (ENM) of common marine mite species. Results Agauopsis legionium has a shallow history (2.01 Ma) with four geographically differentiated groups. Two of them corresponded to the traditional Amazonian and Northeastern ecoregions, but the boundary between the two other groups was inferred at the Abrolhos Plateau, not Cabo Frio. Rhombognathus levigatoides s. lat. was represented by two cryptic species that diverged 7.22 (multilocus data) or 10.01 Ma (CO1‐only analyses), with their boundary, again at the Abrolhos Plateau. ENM showed that A. legionium has suitable habitats scattered along the coast, while the two R. levigatoides cryptic species differ considerably in their niches, especially in parameters related to upwelling. This indicates that genetic isolation associated with the Abrolhos Plateau occurred in both lineages, but for the R. levigatoides species complex, ecological niche specialization was also an important factor. Main conclusions Our study suggests that the major biogeographic boundary in the Southwestern Atlantic lies not at Cabo Frio but at the Abrolhos Plateau. There two biogeographically relevant factors meet (a) changes in current directions (which limit dispersal) and (b) abrupt changes in environmental parameters associated with the South Atlantic Central Waters (SACW) upwelling (offering distinct ecological niches). We suggest that our result represents a general biogeographic pattern because a barrier at the Abrolhos Plateau was found previously for the fish genus Macrodon (phylogeographic data), prosobranch mollusks, ascidians, and reef fishes (community‐level data).

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Bio‐ORACLE v2.0: Extending marine data layers for bioclimatic modelling

Cited by 740 publications

References 50 publications

Past climate changes and strong oceanographic barriers structured low‐latitude genetic relics for the golden kelp Laminaria ochroleuca

Past climate changes and strong oceanographic barriers structured low‐latitude genetic relics for the golden kelp Laminaria ochroleuca

Input matters matter: Bioclimatic consistency to map more reliable species distribution models

Evaluating the boundaries of marine biogeographic regions of the Southwestern Atlantic using halacarid mites (Halacaridae), meiobenthic organisms with a low dispersal potential

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