Biogeographical patterns and areas of endemism for the Magellan region based on the distribution of crustacean species (Amphipoda, Copepoda, and Euphausiacea)

Brun, Anahí A.; Griotti, Mariana; Roig‐Juñent, Sergio; Marcelo, Eduardo

doi:10.1007/s00300-020-02626-1

Cited by 5 publications

(6 citation statements)

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“…As a result, biogeographic patterns for regional biotas are sometimes necessarily inferred based on subsets of data. For instance, many biogeographic surveys have focused only on specific groups of organisms, such as birds (Hazzi et al, 2018), fish (Cowman et al, 2017), trees (Dick and Pennington, 2019), algae (Stekoll, 2019), crustaceans (Brun et al, 2020), or ants (Maravalhas and Vasconcelos, 2020), to name just a few. To some extent, however, different groups of organisms may differ in biogeographic pattern within a region, as the various drivers of species distribution may vary in importance among the groups (Qian et al, 1998;Hart and Chen, 2006;Chiu et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The Subhabitat Dependence of Biogeographic Pattern

2020

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We introduce and test the subhabitat dependence hypothesis (SDH) in biogeography. This hypothesis posits that biogeographic pattern within a region differs when determined with species abundance data from different subhabitat types. It stems from the notion that the main abiotic factors that drive species distribution in different subhabitat types across a biogeographic region often vary differently across space. To test the SDH, we measured the abundance of algae and sessile invertebrates in two different subhabitats (high intertidal zone and mid-intertidal zone) at eight locations along the Atlantic Canadian coast. We conducted multivariate analyses of the species abundance data to compare alongshore biogeographic pattern between both zones. For both subhabitat types, location groupings based on community similarity not always responded to geographic proximity, leading to biogeographic patchiness to some extent. Nonetheless, both biogeographic patterns were statistically unrelated, thus supporting the SDH. This lack of concordance was most evident for southern locations, which clustered together based on high-intertidal data but showed considerable alongshore patchiness based on mid-intertidal data. We also found that the ordination pattern of these eight locations based on sea surface temperature data was significantly related to biogeographic pattern for the mid-intertidal zone but not for the high intertidal zone. This finding supports the rationale behind the SDH due to the longer periods of submergence experienced by the mid-intertidal zone. Overall, we conclude that biogeographic pattern within a region can depend on the surveyed subhabitat type. Thus, biological surveys restricted to specific subhabitats may not properly reveal biogeographic pattern for a biota as a whole or even just for other subhabitats. As many studies generate biogeographic information with data only for specific subhabitats, we recommend testing the SDH in other systems to determine its domain of application.

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Section: Introductionmentioning

confidence: 99%

The Subhabitat Dependence of Biogeographic Pattern

2020

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“…Decapods of the BB are typical to the Fueguia province, south to 51 • S [72]. We here report the occurrence of 23 out of 94 species reported for the Magellan region, representing 24% of the total for this region [6,7] (Table A5).…”

Section: Discussionmentioning

confidence: 74%

“…Boschi [6] originally reported 79 species for the Magellan Region; the species count increased to 94 by adding occurrences from a more recent catalogue [7]. Boschi and Gavio [73] extend the zoogeographic Magellan region around southern South America south to 42 • S, coinciding roughly with the definitions of Briggs [74], Spalding et al [75], and Briggs and Bowen [76] (see Brun et al [72] for a review). On the Atlantic side, this region extends over the shelf break up to 30 • S, and includes decapod fauna that range northwards-over the deeper waters of the shelf break (e.g., L. santolla) or southwards near the coast-such as the shrimps Artemesia longinaris (Spence Bate, 1888) or Pleoticus muelleri (Spence Bate, 1888).…”

Section: Discussionmentioning

confidence: 93%

“…Also, Boschi [6] categorized the Magellanic species into three groups: Atlantic, Pacific, or occurring on both sides of southern South America. For the sake of comparison of the BB decapod fauna, we found it more appropriate to do it with the Fueguia province (see Figure 5c in [72]), including waters mainly south to 51 • S, in both the Atlantic and Pacific waters. The total of 23 species here reported for the BB represents 32% of the 73 species of this province.…”

Section: Discussionmentioning

confidence: 99%

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Decapods of the Southern Tip of South America and the Marine Protected Area Namuncurá–Burdwood Bank: A Nearshore–Offshore Comparison

Di Salvatore,

Albano,

Diez

et al. 2023

Diversity

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The Marine Protected Area (MPA) Namuncurá−Burdwood Bank was created in 2013 to protect the benthic community. After five years of multidisciplinary research, it was reorganized, and a second, contiguous MPA Namuncurá−Burdwood Bank II was created. The objectives of this study were to evaluate the decapod assemblages in both the previous and current management zones and to compare them with the neighboring areas of southern South America. The decapod fauna was studied integratively by comparing captured species onboard scientific expeditions with online records. Our study showed that the original design of the MPAN−BB had the lowest decapod species richness. However, the constitution of a larger protected area, including the slope, increased the species richness, with unique records of Campylonotus arntzianus and Lithodes couesi. The MPA could be considered ecologically representative as it shares various species with the nearby areas (the Beagle Channel and the Atlantic). Furthermore, we theorize it could act as a “hub” for decapod species as marine currents provide the Burdwood Bank with new individuals from the west and disperse them northward to the Patagonian Shelf and eastward to the Scotia Arc. This result shows the great value of protecting this area, ensuring the conservation of the decapod fauna of southern South America.

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“…To compare the result from several analyses, other studies have used UPGMA based on Jaccard similarities to provide a meta consensus of areas (Brun et al., 2020; Hoffmeister & Ferrari, 2016). As areas are proposed based on species geographic congruence, similarity metrics (or its complement, dissimilarity) are a proxy for species composition, i.e.…”

Section: Methodsmentioning

confidence: 99%

Distribution patterns of Triatominae (Hemiptera: Reduviidae) in the Americas: an analysis based on networks and endemicity

et al. 2022

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Triatominae, commonly known as kissing bugs, are a group of approximately 150 species of hematophagous reduviids, some of which are vectors of Trypanosoma cruzi, the etiological agent of the Chagas disease. Distributional patterns of triatomines have been studied based on macroecological and historical biogeographic approaches, but the definition of distributional patterns and areas of endemism are yet to be defined based on objective criteria. We used two methods to identify biogeographic units in the Triatominae: the endemicity analysis based on an optimality criterion (NDM/VNDM software) and a network approach aimed to simplify and highlight the underlying structure in species distributions (Infomap Bioregions). Information on species distributions was obtained from a data paper, comprising 21 815 records for 135 triatomine species occurring in the Americas. The resulting areas of each method were clustered using a meta consensus criterion based on dissimilarities and interpreted as recurrent areas. The NDM areas show a nested structure, presenting greater restrictions to the inclusion of species in a given area, requiring broad sympatry. In contrast, bioregions emphasize spatial patterns with better‐delimited areas and species occurrences do not need to be highly congruent. When areas were clustered based on their species composition two clear patterns arose from both methods: (i) areas within the southern Amazon and southeast South America, especially in the Chacoan subregion, formed a cluster, and (ii) areas north of the Amazon, Pacific, Mesoamerica, Mexican transition zone and Nearctic formed another cluster. Moreover, within each of these two clusters, there was a latitudinal gradient of the areas in the Americas showing spatial similarity between the areas found in both methods. Results of both methods show well‐bound areas separating the triatomine fauna in the Brazilian subregions, resulting in the recognition of areas corresponding to the biomes Chaco, Pampa, Cerrado, and Caatinga, and, to a lesser extent, the Atlantic Forest.

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Biogeographical patterns and areas of endemism for the Magellan region based on the distribution of crustacean species (Amphipoda, Copepoda, and Euphausiacea)

Cited by 5 publications

References 50 publications

The Subhabitat Dependence of Biogeographic Pattern

The Subhabitat Dependence of Biogeographic Pattern

Decapods of the Southern Tip of South America and the Marine Protected Area Namuncurá–Burdwood Bank: A Nearshore–Offshore Comparison

Distribution patterns of Triatominae (Hemiptera: Reduviidae) in the Americas: an analysis based on networks and endemicity

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