Abstract
Dubiaranea magatama Cajade, Hagopián & Rodrigues n. sp. is described from Uruguay, and southern Brazil based on males and females from several types of native forests, and a potential distribution for this species is modeled. The predicted model for this species indicates a Pampean province and southern Atlantic Forest biome distribution. Three variables contributed significantly to the model with positive influence: the spatial component, the proximity to large rivers, and the tree cover. Also, we provide new records of Dubiaranea difficilis (Mello-Leitão 1944) for Uruguay and a model of its potential distribution was performed. It showed that tree cover, the proximity to large rivers, the spatial component and precipitation/evapotranspiration constraints were recovered for the model with positive influence, expanding the potential distribution area previously proposed.
References
- Acevedo, P. & Real, R. (2012) Favourability: concept distinctive characteristics and potential usefulness. Naturwissenschaften, 99, 515–522. https://doi.org/10.1007/s00114-012-0926-0
- Akaike, H. (1973) Information theory and an extension of the maximum likelihood principle. In: Petrov, B.N. & Csaki, F. (Eds.), 2nd International Symposium on Information Theory, Tsahkadsor,
- Armenia, USSR. Akademiai Kiado, Budapest, pp. 267–281.
- Allouche, O., Tsoar, A. & Kadmon, R. (2006) Methodological insights. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 43, 1223–1232. https://doi.org/10.1111/j.1365-2664.2006.01214.x
- Alvarez-Padilla, F. & Hormiga, G. (2007) A protocol for digesting internal soft tissues and mounting spiders for scanning electron microscopy. Journal of Arachnology, 35, 538–542. https://doi.org/10.1636/Sh06-55.1
- Barbosa, A.M. (2015) fuzzySim: applying fuzzy logic to binary similarity indices in ecology. Methods in Ecology and Evolution, 6, 853–858. https://doi.org/10.1111/2041-210X.12372
- Barbosa, A.M., Brown, J.A., Jiménez-Valverde, A. & Real, R. (2016) modEvA: Model Evaluation and Analysis. R package. Version 2.0. Available from: https://CRAN.Rproject.org/package=modEvA (accessed 20 March 2024)
- Barbosa, A.M., Real, R., Muñoz, A.R. & Brown, J.A. (2015) New measures for assessing model equilibrium and prediction mismatch in species distribution models. Diversity and Distributions, 19 (10), 1333–1338. https://doi.org/10.1111/ddi.12100
- Benjamini, Y. & Hochberg, Y. (1995) Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society, 57, 289–300. https://doi.org/10.1111/j.2517-6161.1995.tb02031.x
- Bernardinis, G.B., Cobos, M.E., Brum, F.T., Marques, M.C.M., Townsend Peterson, A., Carlucci, M.B. & Zwiener, V.P. (2023) Ecological restoration and protection of remnants are key to the survival of the critically endangered Araucaria tree under climate change. Global Ecology and Conservation, 47, e02660. https://doi.org/10.1016/j.gecco.2023.e02668
- Bhatt, R. & Hossain, A. (2019) Concept and Consequence of Evapotranspiration for Sustainable Crop Production in the Era of Climate Change. IntechOpen. doi: 10.5772/intechopen.83707
- Buchhorn, M., Smets, B., Bertels, L., Lesiv, M., Tsendbazar, N.E., Masiliunas, D., Linlin, L., Herold, M. & Fritz, S. (2020) Copernicus Global Land Service: Land Cover 100m: Collection 3: epoch 2015: Globe. Version Version 3.0.1. [data set]. https://zenodo.org/records/3939038.
- Bulluck, L., Fleishman, E., Betrus, C. & Blair, R. (2006) Spatial and temporal variations in species occurrence rate affect the accuracy of occurrence models. Global Ecology and Biogeography, 15, 27–38. https://doi.org/10.1111/j.1466-822X.2006.00170.x
- Burnham, K.P. & Anderson, D.R. (2002) Model selection and multimodel inference. A practical information-theoretic approach. 2nd Edition. Springer, New York, XXVI + 488 pp. https://doi.org/10.1007/b97636
- Cala-Riquelme, F. (2021) Autodesk Sketchbook: An application that minimizes time and maximizes results of taxonomic drawing. Zootaxa, 4963 (3), 577–586. https://doi.org/10.11646/zootaxa.4963.3.10
- Cardoso, P., Stoev, P., Georgiev, T., Senderov, V. & Penev, L. (2016) Species Conservation Profiles compliant with the IUCN Red List of Threatened Species. Biodiversity Data Journal, 4, e10356. https://doi.org/10.3897/BDJ.4.e10356
- Costa, M.C., Hagopián, D., Simó, M.R., Guerrero, J.C. & Laborda, A. (2021) First description of the male of Mastophora extraordinaria Holmberg, 1876 (Araneae: Araneidae), with notes on the natural history and potential distribution of the species. Boletín de la Sociedad Zoológica del Uruguay, 30 (1), 14–24. https://doi.org/10.26462/30.1.2
- Danielson, J.J. & Gesch, D.B. (2011) Global multi-resolution terrain elevation data 2010 (GMTED2010): U.S. Geological Survey Open-File Report 2011-1073. Available from: https://pubs.usgs.gov/of/2011/1073/ (accessed 20 March 2024)
- Da Silva, B.A., Guerrero, J.C., Bidegaray-Batista, L. & Simó, M. (2020) Description of Latica, a new monotypic spider genus from Uruguay and Argentina (Araneae, Herpyllinae, Gnaphosidae): An integrative approach. Zoologischer Anzeiger, 288, 84–96. https://doi.org/10.1016/j.jcz.2020.07.006
- Ferretti, N., González, A. & Pérez-Miles, F. (2014) Identification of priority areas for conservation in Argentina: Quantitative biogeography insights from mygalomorph spiders (Araneae: Mygalomorphae). Journal of Insect Conservation, 18 (6), 1087–1096. https://doi.org/10.1007/s10841-014-9718-5
- Ghione, S., Coelho, L., Costa, F.G., García, L.F., González, M., Jorge, C., Laborda, A., Montes De Oca, L., Pérez-Miles, F., Postiglioni, R., Simó, M., Toscano-Gadea, C., Viera, C. & Aisenberg, A. (2017) Arácnidos prioritarios para la conservación en Uruguay. Boletín de la Sociedad Zoológica del Uruguay, 26 (1), 1–8. https://doi.org/10.26462/26.1.1
- Harrington, P. (2012) n.k. In: Bleiel, J. (Ed.), Machine Learning in Action Manning Publications, New York, New York, pp. 1–384.
- Hastie, T.J. & Pregibon, D. (1992) Chapter 6. Generalized linear models. In: Chambers, J.M. & Hastie, T.J. (Eds.), Statistical models in S. Wadsworth and Brooks/Cole, Baldwin, Georgia, pp. 309–376.
- Hormiga, G. (2000) Higher level phylogenetics of erigonine spiders (Araneae, Linyphiidae, Erigoninae). Smithsonian Contributions to Zoology 609, 1–160. https://doi.org/10.5479/si.00810282.609
- Hormiga, G. & Eberhard, W.G. (2023) Sheet webs of Linyphioid spiders (Araneae: Linyphiidae, Pimoidae): The light of diversity hidden under a linguistic basket. Bulletin of the Museum of Comparative Zoology, 163 (8), 279–415. https://doi.org/10.3099/MCZ75
- Hosmer, D.W. & Lemeshow, S. (2000) Applied logistic regression. 2nd Edition. John Wiley and Sons, Inc., New York, New York, 383 pp. https://doi.org/10.1002/0471722146
- Jiménez-Valverde, A., Acevedo, P., Barbosa, A.M., Lobo, J.M. & Real, R. (2013) Discrimination capacity in species distribution models depends on the representativeness of the environmental domain. Global Ecology and Biogeography, 22, 508–516. https://doi.org/10.1111/geb.12007
- Karger, D.N., Conrad, O., Böhner, J., Kawohl, T., Kreft, H., Soria-Auza, R.W., Zimmermann, N.E., Linder, H.P. & Kessler, M. (2017) Climatologies at high resolution for the Earth land surface areas. Scientific Data, 4, 170122. https://doi.org/10.1038/sdata.2017.122
- Laborda, Á., De Oca, L.M., Pérez-Miles, F., Useta, G. & Simó, M. (2018) The spider fauna from Uruguay River islands: understanding its role in a biological corridor. Biodiversity Data Journal, 6, e27319. https://doi.org/10.3897/BDJ.6.e27319
- Laborda, Á., Hagopián, D., Teijón, S., Ginella, J., Guerrero, J.C. & Simó, M. (2020) The spider assemblage in a dendrofloristic hotspot from eastern Uruguay. Boletín de la Sociedad Zoológica del Uruguay, 29 (2), 73–85. https://doi.org/10.26462/29.2.4
- Legendre, P. & Legendre, L. (1998) Numerical Ecology. 2nd English Edition. Elsevier Science, Amsterdam, 853 pp.
- Lehner, B. & Grill, G. (2013) Global river hydrography and network routing: baseline data and new approaches to study the world’s large river systems. Hydrological Processes, 27 (15), 2171–2186. https://doi.org/10.1002/hyp.9740
- Liu, C., White, M. & Newell, G. (2009) Measuring the accuracy of species distribution models: a review. 18th World IMACS/MODSIM Congress, Cairns, Australia. Available from: https://www.mssanz.org.au/modsim09/J1/liu_c_J1b.pdf (accessed 20 March 2024)
- Mcpherson, J., Jetz, W. & Rogers, D.J. (2004) The effects of species’ range sizes on the accuracy of distribution models: ecological phenomenon or statistical artifact? Journal of Applied Ecology, 41, 811–823. https://doi.org/10.1111/j.0021-8901.2004.00943.x
- Millidge, A.F. (1985) Some linyphiid spiders from South America (Araneae, Linyphiidae). American Museum Novitates, 2836, 1–78.
- Millidge, A.F. (1991) Further linyphiid spiders (Araneae) from South America. Bulletin of the American Museum of Natural History, 205, 1–199.
- Millidge, A.F. (1993) Further remarks on the taxonomy and relationships of the Linyphiidae, based on the epigynal duct confirmations and other characters (Araneae). Bulletin of the British Arachnological Society, 9, 145–156.
- Morrone, J.J., Escalante, T., Rodríguez-Tapia, G., Carmona, A., Arana, M. & Mercado-Gómez, J.D. (2022) Biogeographic regionalization of the Neotropical region: New map and shapefile. Anais da Academia Brasileira de Ciências, 94, e20211167. https://doi.org/10.1590/0001-3765202220211167
- Olson, D.M., Dinerstein, E., Wikramanayake, E.D., Burguess, N.D., Powell, G.V., Underwood, E.C., D’amico, J.A., Itoua, I., Strand, H.E., Morrison, J.C., Loucks, C.J., Allnutt, T.F., Ricketts, T.H., Kura, Y., Lamoreux, J.F., Wettengel, W.W., Hedao, P. & Kassem, K.R. (2001) Terrestrial Ecoregions of the World: A New Map of Life on Earth. A new global map of terrestrial ecoregions provides an innovative tool for conserving biodiversity. BioScience, 51 (11), 933–938. https://doi.org/10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
- Qgis Development Team (2021) QGIS. Version 3.22. Geographic Information System. Open Source Geospatial Foundation Project. Available from: http://qgis.osgeo.org (accessed 20 March 2024)
- R Core Team (2021) R: A Language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. Available from: https://www.R-project.org/ (accessed 20 March 2024)
- Real, R., Barbosa, A.M. & Vargas, J.M. (2006) Obtaining environmental favourability functions from logistic regression. Environmental and Ecological Statistics, 13, 237–245. https://doi.org/10.1007/s10651-005-0003-3
- Roberts, M.J. (1987) The Spiders of Great Britain and Ireland. Vol. 2. Linyphiidae and checklist. Harley Books Publishers, Colchester, 204 pp.
- Rodrigues, E.N., Ott, R. & Brescovit, A.D. (2014) Redescription of Dubiaranea argenteovittata (Araneae: Linyphiidae), type species of the genus, and description of the male. Zoologia, 31, 275–280. https://doi.org/10.1590/S1984-46702014000300010
- Rubio, G.D., Rodrigues, E.N. & Acosta, L.E. (2010) Description of the male of the spider Dubiaranea difficilis (Araneae: Linyphiidae), with new records and modeling of its potential geographic distribution. Zootaxa, 2405 (1), 55–62. https://doi.org/10.11646/zootaxa.2405.1.3
- Silva-Moreira, T. & Hormiga, G. (2015) Redescription and phylogenetic placement of the Hispaniolan spider genus Lomaita Bryant, 1948 (Araneae, Linyphiidae). Zootaxa, 3920 (2), 249–64. https://doi.org/10.11646/zootaxa.3920.2.2
- Silva-Moreira, T. & Hormiga, G. (2022) Revision and phylogenetics of the Neotropical sheet weaving spider genus Diplothyron Millidge, 1991 (Araneae, Linyphiidae) and systematics of the MPME clade. Invertebrate Systematics, 36 (9), 781–848. https://doi.org/10.1071/IS21047
- Title, P.O. & Bemmels, J.B. (2018) ENVIREM: an expanded set of bioclimatic and topographic variables increases flexibility and improves performance of ecological niche modeling. Ecography, 41 (2), 291–307. https://doi.org/10.1111/ecog.02880
- World Spider Catalog (2024) World Spider Catalog. Version 25. Natural History Museum Bern, Bern. Available from: http://wsc.nmbe.ch (accessed 20 February 2024) https://doi.org/10.24436/2