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      Seasonality modulates the direct and indirect influences of forest cover on larval anopheline assemblages in western Amazônia

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          Abstract

          Serious concerns have arisen regarding urbanization processes in western Amazônia, which result in the creation of artificial habitats, promoting the colonization of malaria vectors. We used structural equation modelling to investigate direct and indirect effects of forest cover on larval habitats and anopheline assemblages in different seasons. We found 3474 larvae in the dry season and 6603 in the rainy season, totalling ten species and confirming the presence of malaria vectors across all sites. Forest cover had direct and indirect (through limnological variables) effects on the composition of larval anopheline assemblages in the rainy season. However, during the dry season, forest cover directly affected larval distribution and habitat variables (with no indirect affects). Additionally, artificial larval habitats promote ideal conditions for malaria vectors in Amazonia, mainly during the rainy season, with positive consequences for anopheline assemblages. Therefore, the application of integrated management can be carried out during both seasons. However, we suggest that the dry season is the optimal time because larval habitats are more limited, smaller in volume and more accessible for applying vector control techniques.

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          lavaan: AnRPackage for Structural Equation Modeling

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            Climate change, deforestation, and the fate of the Amazon.

            The forest biome of Amazonia is one of Earth's greatest biological treasures and a major component of the Earth system. This century, it faces the dual threats of deforestation and stress from climate change. Here, we summarize some of the latest findings and thinking on these threats, explore the consequences for the forest ecosystem and its human residents, and outline options for the future of Amazonia. We also discuss the implications of new proposals to finance preservation of Amazonian forests.
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              Ecologically meaningful transformations for ordination of species data

              This paper examines how to obtain species biplots in unconstrained or constrained ordination without resorting to the Euclidean distance [used in principal-component analysis (PCA) and redundancy analysis (RDA)] or the chi-square distance [preserved in correspondence analysis (CA) and canonical correspondence analysis (CCA)] which are not always appropriate for the analysis of community composition data. To achieve this goal, transformations are proposed for species data tables. They allow ecologists to use ordination methods such as PCA and RDA, which are Euclidean-based, for the analysis of community data, while circumventing the problems associated with the Euclidean distance, and avoiding CA and CCA which present problems of their own in some cases. This allows the use of the original (transformed) species data in RDA carried out to test for relationships with explanatory variables (i.e. environmental variables, or factors of a multifactorial analysis-of-variance model); ecologists can then draw biplots displaying the relationships of the species to the explanatory variables. Another application allows the use of species data in other methods of multivariate data analysis which optimize a least-squares loss function; an example is K-means partitioning.
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                Author and article information

                Contributors
                adriano.bionobre@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                16 June 2021
                16 June 2021
                2021
                : 11
                : 12721
                Affiliations
                [1 ]GRID grid.412352.3, ISNI 0000 0001 2163 5978, Programa de Pós-Graduação em Ecologia e Conservação, Instituto de Biociências, , Universidade Federal de Mato Grosso do Sul (UFMS), ; Campo Grande, MS Brazil
                [2 ]GRID grid.419220.c, ISNI 0000 0004 0427 0577, Programa de Pós-Graduação em Ciências Biológicas - Entomologia, , Instituto Nacional de Pesquisas da Amazônia (INPA), ; Manaus, AM Brazil
                [3 ]GRID grid.419220.c, ISNI 0000 0004 0427 0577, Programa de Grande Escala da Biosfera-Atmosfera na Amazônia (LBA), Laboratório de Química Ambiental, Coordenação de Dinâmica Ambiental, , Instituto Nacional de Pesquisas da Amazônia (INPA), ; Manaus, AM Brazil
                [4 ]GRID grid.419220.c, ISNI 0000 0004 0427 0577, Laboratório de Malária e Dengue, Coordenação de Sociedade, , Ambiente E Saúde, Instituto Nacional de Pesquisas da Amazônia (INPA), ; Manaus, AM Brazil
                [5 ]Amnis Opes Institute, Corvallis, OR USA
                [6 ]GRID grid.4391.f, ISNI 0000 0001 2112 1969, Department of Fisheries & Wildlife, , Oregon State University, ; Corvallis, OR USA
                [7 ]GRID grid.1011.1, ISNI 0000 0004 0474 1797, Centre for Tropical Environmental and Sustainability Science (TESS), , James Cook University, ; Cairns, Australia
                Article
                92217
                10.1038/s41598-021-92217-9
                8208974
                34135444
                08da7dec-b593-49c0-8774-3cccb5e83c4f
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 12 January 2021
                : 7 June 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100002322, Coordenação de Aperfeiçoamento de Pessoal de Nível Superior;
                Award ID: 001
                Award ID: 88882.317337/2019
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100003593, Conselho Nacional de Desenvolvimento Científico e Tecnológico;
                Award ID: 312998/2015-5
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100005672, Fundação de Apoio ao Desenvolvimento do Ensino, Ciência e Tecnologia do Estado de Mato Grosso do Sul;
                Funded by: Fulbright Brasil
                Categories
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                Custom metadata
                © The Author(s) 2021

                Uncategorized
                entomology,ecology,ecological modelling
                Uncategorized
                entomology, ecology, ecological modelling

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