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      Biogeographical patterns of species richness in stream diatoms from southwestern South America

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          Abstract

          The latitudinal diversity gradient (LDG) hypothesis has been validated for many taxon groups, but so far, stream diatoms have not conformed to this pattern. Research on diatoms that includes data from South America is lacking, and our study aims to address this knowledge gap. Previous studies have successfully explained stream diatom species richness by considering niche dimensionality of physicochemical variables. Moreover, in southwestern South America, the observed biogeographical pattern differs from LDG and has been shown to be determined by historical factors. We used a dataset comprising 373 records of stream diatom communities located between 35° S and 52° S latitude, southwestern South America. The dataset included physicochemical river water variables, climate data, and ice sheet cover from the Last Glacial Maximum. We explored geographical patterns of diatom species richness and evaluated 12 different causal mechanisms, including climate‐related theories, physicochemical and climatical exploratory analyses, historical factors, and niche dimensionality. A metacommunity analysis was conducted to evaluate the possible nested structure due to historical factors. We observed an increase in diatom species richness from south to north. Models containing both physicochemical and climatic predictors explained the highest proportion of variation in the data. Silica, which was correlated with latitude, and flow velocity, which did not show any spatial pattern, were the most important predictors. Historical factors and nested structure did not play any role. Contrary to what has been reported in the literature, we found no support for climate‐related explanations of species richness. Instead, theories related to niche dimensionality and local factors provided better explanations, consistent with previous related research. We suggest that the increase in diatom richness in the north of our study region is due to a higher nutrient supply in these rivers, rather than a due to larger species pool in the area.

          Abstract

          We assessed biogeographical patterns in riverine diatom species richness using a dataset from southwestern South America. Diatom species richness increases towards the north and is explained by local physicochemical variables and the Niche dimensionality hypothesis, while classical climate‐related theories and historical variables exhibit low explanatory power.

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          WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

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            Biodiversity hotspots for conservation priorities.

            Conservationists are far from able to assist all species under threat, if only for lack of funding. This places a premium on priorities: how can we support the most species at the least cost? One way is to identify 'biodiversity hotspots' where exceptional concentrations of endemic species are undergoing exceptional loss of habitat. As many as 44% of all species of vascular plants and 35% of all species in four vertebrate groups are confined to 25 hotspots comprising only 1.4% of the land surface of the Earth. This opens the way for a 'silver bullet' strategy on the part of conservation planners, focusing on these hotspots in proportion to their share of the world's species at risk.
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              Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models

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                Author and article information

                Contributors
                zamda279@student.otago.ac.nz
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                20 March 2024
                March 2024
                : 14
                : 3 ( doiID: 10.1002/ece3.v14.3 )
                : e11156
                Affiliations
                [ 1 ] Centro de Investigación e Innovación para el Cambio Climático, Facultad de Ciencias Universidad Santo Tomás Santiago Chile
                [ 2 ] Department of Zoology University of Otago Dunedin New Zealand
                [ 3 ] Programa de Doctorado en Conservación y Gestión de la Biodiversidad, Facultad de Ciencias Universidad Santo Tomás Santiago Chile
                [ 4 ] Laboratorio de Limnología, Facultad de Ciencias Universidad de Chile Santiago Chile
                Author notes
                [*] [* ] Correspondence

                Daniel Zamorano, 464 Great King St North, North Dunedin, Dunedin 9016, New Zealand.

                Email: zamda279@ 123456student.otago.ac.nz

                Author information
                https://orcid.org/0000-0001-8235-3990
                https://orcid.org/0000-0003-2881-3313
                https://orcid.org/0000-0002-4823-9198
                Article
                ECE311156 ECE-2023-08-01427.R1
                10.1002/ece3.11156
                10954374
                38510542
                a2d567b6-a3df-4585-a1d6-21a40d23d6c7
                © 2024 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 28 February 2024
                : 21 August 2023
                : 05 March 2024
                Page count
                Figures: 6, Tables: 2, Pages: 18, Words: 12201
                Categories
                Biogeography
                Research Article
                Research Articles
                Custom metadata
                2.0
                March 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.9 mode:remove_FC converted:20.03.2024

                Evolutionary Biology
                clementsian structure,flow velocity,glasonian structure,latitudinal diversity gradient,number of limiting resources,patice,silica

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