Abstract
Species distribution patterns are widely used to guide conservation planning and are a central issue in ecology. The usefulness of spatial correlation analysis has been highlighted in several ecological applications so far. However, spatial assumptions in ecology are highly scale-dependent, in which geographical relationships between species diversity and distributions can have different conservation concerns. Here, an integrative landscape planning was designed to show the spatial distribution patterns of taxonomic and functional diversity of amphibians and fishes, from multiple species traits regarding morphology, life history, and behavior. We used spatial, morphological, and ecological data of amphibians and fishes to calculate the functional diversity and the spatial correlation of species. Mapping results show that the higher taxonomic and functional diversity of fishes is concentrated in the West Atlantic Forest. Considering amphibians, are located in the East portion of the biome. The spatial correlation of species indicates the regions of the Serra do Mar and the extreme southern part of the Central Corridor as the main overlapped species distribution areas between both groups. New key conservation sites were reported within the Brazilian Atlantic Forest hotspot, revealing cross-taxon mismatches between terrestrial and freshwater ecosystems. This study offers useful spatial information integrating suitable habitats of fishes and amphibians to complement existing and future research based on terrestrial and freshwater conservation. New priorities for biodiversity conservation in rich-species regions highlight the importance of spatial pattern analysis to support land-use planning in a macroecological context.
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Data availability
The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Agostinho AA, Vazzoler AEA, Thomaz SD (1995) The High River Paraná Basin: limnological and ichthyological aspects. In: Tundisi JG, Bicudo CEM, Matsumura-Tundisi T (eds) Limnology in Brazil. ABC/SBL, Rio de Janeiro, p 59–103
Agostinho AA, Júlio HF,Jr (2002) Observation of an invasion of the piranha Serrasalmus marginatus, Serrasalmidae) into the Upper Parana´ River Brazil. Acta Sci Biol 24:391–395
Agostinho AA, Pelicice FM, Petry AC, Gomes LC, Júlio Jr HF (2007) Fish diversity in the upper Paraná River basin: habitats, fisheries, management and conservation. Aq Ecos H Man 10:174–186. https://doi.org/10.1080/14634980701341719
Agostinho AA, Suzuki HI, Fugi R et al. (2015) Ecological and life history traits of Hemiodus orthonops in the invasion process: looking for clues at home. Hydrobiologia 746:415–430. https://doi.org/10.1007/s10750-014-2053-8
Aguiar AP, Chiarello AG, Mendes SL, Matos EN (2003) The Central and Serra do Mar Corridors in the Brazilian Atlantic Forest. In: Galinod-Leão C, Câmara IG (eds) The Atlantic Forest of South America: Biodiversity status, threats and outlook. Island Press, Washington, p 118–132
Allouche O, Tsoar A, Kadmon R (2006) Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). J Appl Ecol 43:1223–1232. https://doi.org/10.1111/j.1365-2664.2006.01214.x
Alves GHZ, Figueiredo BR, Manetta GI, Sacramento PA, Tofoli RM, Benedito E (2017) Trophic segregation underlies the coexistence of two piranha species after the removal of a geographic barrier. Hydrobiologia 797:57–68. https://doi.org/10.1007/s10750-017-3159-6
Araújo MB, New M (2006) Ensemble forecasting of species distributions. Trends Ecol Evol 22:42–47. https://doi.org/10.1016/j.tree.2006.09.010
Araújo MB, Nogués-Bravo D, Diniz-Filho JAF, Haywood AM, Valdes JP, Rahbek C (2008) Quaternary climate changes explain diversity among reptiles and amphibians. Ecography 31:8–15. https://doi.org/10.1111/j.2007.0906-7590.05318.x
Balvanera P, Pfisterer AB, Buchmann N et al. (2006) Quantifying the evidence for biodiversity effects on ecosystem functioning and services. Ecol Lett 9:1146–1156. https://doi.org/10.1111/j.1461-0248.2006.00963.x
Benedito-Cecílio E, Agostinho AA (1999) Determination of patterns of ichthyofauna co-occurence in the Paraná river basin, area of influence of the Itaipu reservoir. Interciencia 24:360–365
Bini LM, Thomaz SM, Souza DC (2001) Species richness and ß-diversity of aquatic macrophytes in the Upper Paraná River floodplain. Arch für Hidrobiologie 151:511–525. https://doi.org/10.1127/archivhydrobiol/151/2001/511
Breiman L (2001) Random forests. Mach Learn 45:5–32. https://doi.org/10.1023/A:1010933404324
Busby JR (1991) BIOCLIM - A bioclimate analysis and prediction system. In: Margules CR, Austin MP (eds) Nature conservation: cost effective biological surveys and data analysis. CSIRO, Melbourne, p 64–68
Cadotte MW, Carscadden K, Mirotchnick N (2011) Beyond species: functional diversity and the maintenance of ecological processes and services. J Appl Ecol 48:1079–1087. https://doi.org/10.1111/j.13652664.2011.02048.x
Campos FS, Trindade-Filho J, Brito D, Llorente GA, Solé M (2014) The efficiency of indicator groups for the conservation of amphibians in the Brazilian Atlantic Forest. Ecol Evol 4:2505–2514. https://doi.org/10.1002/ece3.1073
Campos FS, Lourenço-de-Moraes R, Llorente GA, Solé M (2017) Cost-effective conservation of amphibian ecology and evolution. Sci Adv 3:1–9. https://doi.org/10.1126/sciadv.1602929
Campos FS, Lourenço-de-Moraes R, Ruas DS et al. (2020) Searching for networks: ecological connectivity for amphibians under climate change. Environ Manag 65:46–61. https://doi.org/10.1007/s00267-019-01240-0
Carnaval AC, Moritz C (2008) Historical climate modelling predicts patterns of current biodiversity in the Brazilian Atlantic Forest. J Biogeogr 35:1187–1201. https://doi.org/10.1111/j.1365-2699.2007.01870.x
Carnaval AC, Hickerson MJ, Haddad CB, Rodrigues MT, Moritz C (2009) Stability predicts genetic diversity in the Brazilian Atlantic forest hotspot. Science 323:785–789. https://doi.org/10.1126/science.1166955
Carpenter G, Gillison AN, Winter J (1993) DOMAIN: a flexible modelling procedure for mapping potential distributions of plants and animals. Biodivers Conserv 2:667–680. https://doi.org/10.1007/BF00051966
Cianciaruso MV, Silva IA, Batalha MA (2009) Diversidades filogenética e funcional: novas abordagens para a Ecologia de comunidades. Biota Neotrop 9:94–103. https://doi.org/10.1590/S1676-06032009000300008
Devictor V, Mouillot D, Meynard C, Jiguet F, Thuiller W, Mouquet N (2010) Spatial mismatch and congruence between taxonomic, phylogenetic and functional diversity: the need for integrative conservation strategies in a changing world. Ecol Lett 13:1030–1040. https://doi.org/10.1111/j.1461-0248.2010.01493.x
Dinerstein E, Joshi AR, Vynne C et al. (2020) A “Global Safety Net” to reverse biodiversity loss and stabilize Earth’s climate. Sci Adv 6:eabb2824
Diniz-Filho JAF, Bini LM, Rangel TF et al. (2009) Partitioning and mapping uncertainties in ensembles of forecasts of species turnover under climate change. Ecography 32:897–906. https://doi.org/10.1111/j.1600-0587.2009.06196.x
Diniz-Filho JAF, Ferro VG, Santos T et al. (2010) The three phases of the ensemble forecasting of niche models: geographic range and shifts in climatically suitable areas of Utetheisa ornatrix. Rev Bras Entomol 54:339–349. https://doi.org/10.1590/S0085-56262010000300001
Dos Santos VC, Stevaux JC, Assine ML (2017) Fluvial processes in attachment bars in the upper Paraná River, Brazil. Rev Bras Geomorfol 18:483–499. https://doi.org/10.20502/rbg.v18i3.1135
Dray S, Dufour AB (2007) The ade4 package: implementing the duality diagram for ecologists. J Stat Softw 22:1–20. https://doi.org/10.18637/jss.v022.i04
Dubuis A, Pottier J, Rion V, Pellissier L, Theurillat JP, Guisan A (2011) Predicting spatial patterns of plant species richness: a comparison of direct macroecological and species stacking modelling approaches. Divers Distrib 17:1122–1131. https://doi.org/10.1111/j.1472-4642.2011.00792.x
Duflot R, Eyvindson K, Mönkkönen M (2022) Management diversification increases habitat availability for multiple biodiversity indicator species in production forests. Landsc Ecol 37:443–459. https://doi.org/10.1007/s10980-021-01375-8
Egoh B, Reyers B, Rouget M, Bode M, Richardson DM (2009) Spatial congruence between biodiversity and ecosystem services in South Africa. Biol Conserv 142:553–562. https://doi.org/10.1016/j.biocon.2008.11.009
Eskildsen A, Le Roux PC, Heikkinen RK et al. (2013) Testing species distribution models across space and time: high latitude butterflies and recent warming. Glob Ecol Biogeogr 22:1293–1303. https://doi.org/10.1111/geb.12078
ESRI (2019) Arcgis Pro Software. https://www.esri.com/products/index.html. Accessed 1 September 2021
Fattorini S, Dennis RLH, Cook LM (2012) Use of cross-taxon congruence for hotspot identification at a regional scale. PloS One 7:1–6. https://doi.org/10.1371/journal.pone.0040018
Ferreira RB, Beard KH, Crump ML (2016) Breeding guild determines frog distributions in response to edge effects and habitat conversion in the Brazil’s atlantic forest. PloS One 11:1–13
Figueiredo GT, Storti LF, Lourenço-de-Moraes R, Shibatta OA, Anjos L (2019) Influence of microhabitat on the richness of anuran species: a case study of different landscapes in the Atlantic Forest of southern Brazil. Acad Bras Cienc 91:e20171023. https://doi.org/10.1590/0001-3765201920171023
Fraveau JM, Drew CA, Hess GR, Rubino MJ, Koch FH, Eschelbach KA (2006) Recommendations for assessing the effectiveness of surrogate species approaches. Biodivers Conserv 15:3949–3969. https://doi.org/10.1007/s10531-005-2631-1
Fricke R, Eschmeyer WN, Van Der Laan R (2022) Catalog of fishes: Genera, Species, References. http://researcharchive.calacademy.org/research/ichthyology/catalog/fishcatmain.asp. Accessed 5 August 2022
Frost DR (2022) Amphibian Species of the World: an Online Reference. http://research.amnh.org/herpetology/amphibia/index.html. Accessed 05 August 2022
Gaston KJ (1996) Biodiveristy – congruence. Prog Phys Geogr 20:105–112. https://doi.org/10.1177/030913339602000108
Gotelli NJ, Entsminger GL (2001) Swap and fill algorithms in null model analysis: rethinking the knight’s tour. Oecologia 129:281–291. https://doi.org/10.1007/s004420100717
Gower JC (1971) A general coefficient of similarity and some of its properties. Biometrics 27:857–871. https://doi.org/10.2307/2528823
Graça WJ, Pavanelli CS (2007) Peixes da planície de inundação do alto rio Paraná e áreas adjacentes. EDUEM, Maringá
Grimshaw DL, Lewin J (1980) Reservoir effects on sediment yield. J Hydro1 47:163–171. https://doi.org/10.1016/0022-1694(80)90054-2
Haddad CFB, Toledo LF, Prado CPA et al. (2013) Guia dos anfíbios da Mata Atlântica: Diversidade e Biologia. Anolis Books, São Paulo
Heino J, Paavola R, Virtanen R, Muotka T (2005) Searching for biodiversity indicators in running waters: do bryophytes, macroinvertebrates, and fish show congruent diversity patterns. Biodivers Conserv 14:415–428. https://doi.org/10.1007/s10531-004-6064-z
Heino J (2010) Are indicator groups and cross-taxon congruence useful for predicting biodiversity in aquatic ecosystems? Ecol Indic 10:112–117. https://doi.org/10.1016/j.ecolind.2009.04.013
Hess GR, Bartel RA, Leidner AK et al. (2006) Effectiveness of biodiversity indicators varies with extent, grain, and region. Biol Conserv 132:48–457. https://doi.org/10.1016/j.biocon.2006.04.037
Hirzel AH, Hausser J, Chessel D, Perrin N (2002) Ecological-niche factor analysis: how to compute habitat-suitability maps without absence data? Ecology 83:2027–2036. https://doi.org/10.2307/3071784
Hocking DJ, Babbitt KJ (2014) Amphibian contributions to ecosystem services. Herpetol Conserv Biol 9:1–17. https://doi.org/10.1080/21513732.2013.821168
Hof AR, Jansson R, Nilsson C (2012) Future Climate Change will favour non-specialist mammals in the (Sub) Arctics. PloS One 7:1–11. https://doi.org/10.1371/journal.pone.0052574
Holmlund CM, Hammer M (1999) Ecosystem services generated by fish populations. Ecol Econ 29:253–268. https://doi.org/10.1016/S0921-8009(99)00015-4
IUCN (2021) IUCN Red List of Threatened Species. Version 2021.1. https://www.iucnredlist.org. Accessed 25 August 2021
Jung M, Arnell A, De Lamo X et al. (2021) Areas of global importance for conserving terrestrial biodiversity, carbon and water. Nat Ecol Evol 5:1499–1509. https://doi.org/10.1038/s41559-021-01528-7
Kembel SW, Cowan PD, Helmus MR et al. (2010) Picante: R tools for integrating phylogenies and ecology. Bioinformatics 26:1463–1464. https://doi.org/10.1093/bioinformatics/btq166
Laliberté E, Legendre P (2010) A distance-based framework for measuring functional diversity from multiple traits. Ecology 91:299–305. https://doi.org/10.1890/08-2244.1
Lawler JJ, White D (2008) Assessing the mechanisms behind successful surrogates for biodiversity in conservation planning. Anim Conserv 11:270–280. https://doi.org/10.1111/j.1469-1795.2008.00176.x
Lawler JJ, Ackerly DD, Albano CM et al. (2015) The theory behind, and the challenges of conserving nature’s stage in a time of rapid change. Conserv Biol 29:618–629. https://doi.org/10.1111/cobi.12505
Lourenço-de-Moraes R, Lansak-Tohâ FM, Schwind LFT et al. (2019a) Climate change will decrease the range size of snake species under negligible protection in the Brazilian Atlantic Forest hotspot. Sci Rep. 9:8523. https://doi.org/10.1038/s41598-019-44732-z
Lourenço-de-Moraes R, Campos FS, Ferreira RB et al. (2019b) Back to the future: conserving functional and phylogenetic diversity in amphibian-climate refuges. Biodivers Conserv 28:1049–1073. https://doi.org/10.1007/s10531-019-01706-x
Lourenço-de-Moraes R, Campos FS, Ferreira RB et al. (2020) Functional traits explain amphibian distribution in the Brazilian Atlantic Forest. J Biogeogr 47:275–287. https://doi.org/10.1111/jbi.13727
Lourenço-de-Moraes R, Campos FS, Carnaval AC et al. (2021) No more trouble: an economic strategy to protect taxonomic, functional and phylogenetic diversity of continental turtles. Biol Conserv 261:109241. https://doi.org/10.1016/j.biocon.2021.109241
Mata RA, Tidon R, Oliveira G et al. (2017) Stacked species distribution and macroecological models provide incongruent predictions of species richness for Drosophilidae in the Brazilian savanna. Insect Conserv Divers 10:415–424. https://doi.org/10.1111/icad.12240
Mendenhall CD, Daily GC, Ehrlich PR (2012) Improving estimates of biodiversity loss. Biol Conserv 151:32–34. https://doi.org/10.1016/j.biocon.2012.01.069
Menezes NA, Weitzman SH, Oyakawa OT et al. (2007) Peixes de água doce da Mata Atlântica: lista preliminar das espécies e comentários sobre a conservação de peixes de água doce neotropicais. Museu de Zoologia da Universidade Estadual de São Paulo, São Paulo
Ministério do Meio Ambiente – MMA (2018) Biomas – Mata Atlântica. http://www.mma.gov.br/biomas/mata-atlantica. Accessed 10 May 2021
Mokany K, Ferrier S, Harwood TD et al. (2020) Reconciling global priorities for conserving biodiversity habitat. Proc Natl Acad Sci USA 117:9906–9911. https://doi.org/10.1073/pnas.1918373117
Myers N, Mittermeier RA, Mittermeier GG, Fonseca GAB, Kent J (2000) Biodiversity hotspots for conservation priorities. Nature 403:853–858. https://doi.org/10.1038/35002501
Naeem S, Wright JP (2003) Disentangling biodiversity effects on ecosystem functioning: deriving solutions to a seemingly insurmountable problem. Ecol Lett 6:567–579. https://doi.org/10.1046/j.1461-0248.2003.00471.x
O’Bryan CJ, Allan JR, Holden M et al. (2020) Intense human pressure is widespread across terrestrial vertebrate ranges. Glob Ecol Conserv 21:e00882. https://doi.org/10.1016/j.gecco.2019.e00882
Oksanen J, Blanchet FG, Friendly M et al (2018) Vegan: Community Ecology Package. R package Version 2.5-3. https://CRAN.R-project.org/package=vegan. Accessed 15 July 2021
Overton JM, Stephens RTT, Leathwick JR, Lehmann A (2002) Information pyramids for informed biodiversity conservation. Biodivers Conserv 11:2093–2116. https://doi.org/10.1023/A:1021386426790
Oyakawa OT, Akama A, Mautari KC, Nolasco JC (2006) Peixes de riachos da Mata Atlântica. Neotrópica, São Paulo
Padial AA, Costa APL, Bonecker CC et al. (2021) Freshwater studies in the Atlantic Forest: General overview and prospects. In: Marques MCM, Grelle CEV (eds) The Atlantic Forest. Springer, Cham
Padial AA, Siqueira T, Heino J et al. (2012) Relationships between multiple biological groups and classification schemes in a Neotropical floodplain. Ecol Indic 13:55–65. https://doi.org/10.1016/j.ecolind.2011.05.007
Pavoine S, Vallet J, Dufour AB, Gachet S, Daniel H (2009) On the challenge of treating various types of variables: application for improving the measurement of functional diversity. Oikos 118:391–402. https://doi.org/10.1111/j.1600-0706.2008.16668.x
Petchey OL, Gaston KJ (2006) Functional diversity: back to basics and looking forward. Ecol Lett 9:741–758. https://doi.org/10.1111/j.1461-0248.2006.00924.x
Phillips SJ, Anderson RP, Schapire E (2006) Maximum entropy modelling of species geographic distributions. Ecol Model 190:231–259. https://doi.org/10.1016/j.ecolmodel.2005.03.026
Pounds JA, Bustamante MR, Coloma LA et al. (2006) Widespread amphibian extinctions from epidemic disease driven by global warming. Nature 439:161–167. https://doi.org/10.1038/nature04246
Rangel TF, Diniz-filho JAF, Bini LM (2010) SAM: a comprehensive application for spatial analysis in macroecology. Ecography 33:46–50. https://doi.org/10.1111/j.1600-0587.2009.06299.x
Rezende CL, Scarano FR, Assad ED et al. (2018) From hotspot to hopespot: an opportunity for the Brazilian Atlantic Forest. Perspect Ecol Conserv 16:208–214. https://doi.org/10.1016/j.pecon.2018.10.002
R Core Team (2020) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna
Ribeiro MC, Metzger JP, Martensen AC, Ponzoni FJ, Hirota MM (2009) The Brazilian Atlantic Forest: How much is left, and how is the remaining forest distributed? Implications for conservation. Biol Conserv 142:1141–1153. https://doi.org/10.1016/j.biocon.2009.02.021
Rodrigues ASL, Brooks TM (2007) Shortcuts for biodiversity conservation planning: the effectiveness of surrogates. Annu Rev Ecol Evol Syst 38:713–737. https://doi.org/10.1146/annurev.ecolsys.38.091206.095737
Rodrigues ASL, Grenyer R, Baillie JEM et al. (2011) Complete, accurate, mammalian phylogenies aid conservation planning, but not much. Philos Trans R Soc B Biol Sci 366:2652–2660. https://doi.org/10.1098/rstb.2011.0104
Rosa JE (1983) Economics, politics and hydroelectric power: the Paraná river basin. Lat Am Res Rev 18:77–107
Rocha IPD, Holanda FS, Araújo Filho RN, Casado AP, Bandeira AA (2013) Meteorological and hydrological variables on occurrence of riverbank erosion along lower São Francisco river. Rev Bras Eng Agric Ambient 17:137–144. https://doi.org/10.1590/S1415-43662013000200004
Sfair JC, Arroyo‐Rodríguez V, Santos BA, Tabarelli M (2016) Taxonomic and functional divergence of tree assemblages in a fragmented tropical forest. Ecol Appl 26:1816–1826. https://doi.org/10.1890/15-1673.1
Souza Filho EE (2009) Evaluation of the Upper Paraná River discharge controlled by reservoirs. Braz J Biol 69:707–716. https://doi.org/10.1590/S1519-69842009000300024
Sanders NJ (2002) Elevational gradients in ant species richness: area, geometry, and Rapoport’s rule. Ecography 25:25–32. https://doi.org/10.1034/j.1600-0587.2002.250104.x
Strassburg BB, Iribarrem A, Beyer HL et al. (2020) Global priority areas for ecosystem restoration. Nature 586:724–729. https://doi.org/10.1038/s41586-020-2784-9
Stockwell DRB, Noble IR (1992) Induction of sets of rules from animal distribution data: a robust and informative method of data analysis. Math Comput Simul 33:385–390. https://doi.org/10.1016/0378-4754(92)90126-2
Stevaux JC, Martins DP, Meurer M (2009) Changes in a large regulated tropical river: the Paraná River downstream from the Porto primavera dam, Brazil. Geomorphology 113:230–238. https://doi.org/10.1016/j.geomorph.2009.03.015
Swenson NG (2014) Functional and Phylogenetic Ecology in R. Springer, New York
Tilman D, Knops J, Wedin D, Reich P (1997) The influence of functional diversity and composition on ecosystem processes. Science 277:1300–1302. https://doi.org/10.1126/science.277.5330.1300
Trindade-Filho J, Loyola RD (2011) Performance and consistency of indicator groups in two biodiversity hotspots. PloS One 6:1–7. https://doi.org/10.1371/journal.pone.0019746
Villéger S, Brosse S, Mouchet M, Mouillot D, Vanni MJ (2017) Functional ecology of fish: current approaches and future challenges. Aquat Sci 79:783–801. https://doi.org/10.1007/s00027-017-0546-z
Weerd MV, Haes HAU (2010) Cross-taxon congruence in tree, bird and bat species distributions at a moderate spatial scale across four tropical forest types in the Philippines. Biodivers Conserv 19:3393–3411. https://doi.org/10.1007/s10531-010-9902-1
Wells KD (2007) The Ecology and Behavior of Amphibians. The University of Chicago Press, Chicago
Westgate M, Barton PS, Lane PW, Lindenmayer DB (2014) Global meta-analysis reveals low consistency of biodiversity congruence relationships. Nature 3899:1–8. https://doi.org/10.1038/ncomms4899
Williams P, Faith D, Manne L, Sechrest W, Preston C (2005) Complementarity analysis: Mapping the performance of surrogates for biodiversity. Biol Conserv 128:253–264. https://doi.org/10.1016/j.biocon.2005.09.047
Whiles MR, Lips KR, Pringle CM et al. (2006) The effects of amphibian population declines on the structure and function of Neotropical stream ecosystems. Front Ecol Environ 4:27–34. 10.1890/1540-9295(2006)004[0027:TEOAPD]2.0.CO;2
Wolters V, Bengtsson J, Zaitsev AS (2006) Relationship among the species richness of different taxa. Ecology 87:1886–1895. 10.1890/0012-9658(2006)87[1886:RATSRO]2.0.CO;2
Yang R, Cao Y, Hou S et al. (2020) Cost-effective priorities for the expansion of global terrestrial protected areas: Setting post-2020 global and national targets. Sci Adv 6:eabc3436. https://doi.org/10.1126/sciadv.abc3436
Young BE, Lips KR, Reaser JK et al. (2001) Population declines and priorities for amphibian conservation in Latin America. Conserv Biol 15:1213–1223. https://doi.org/10.1111/j.1523-1739.2001.00218.x
Acknowledgements
We thank Thiago F. Rangel for providing computational access to the platform Bioensembles. RLM thanks the Conselho Nacional de Pesquisa e Tecnologia – CNPq and the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – CAPES for providing scholarships. FSC thanks the Portuguese Foundation for Science and Technology – FCT and the Information Management Research Center – MagIC/NOVA IMS for the institutional support.
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ACC, RLM, and EB: conceived the ideas of the study; ACC, RLM, and FSC: wrote the manuscript with important contributions for the other authors; ACC and RLM: designed methodology; ACC and RLM collected the data; ACC and RLM: analyzed the data; ACC, RLM, and FSC: created the figures. All authors contributed critically to the drafts and gave final approval for submission.
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This work received financial support from CAPES (Finance Code 001), CNPq (151473/2018-8), FCT (PTDC/CTA-AMB/28438/2017), and MagIC/NOVA IMS (UIDB/04152/2020).
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Covre, A.C., Lourenço-de-Moraes, R., Campos, F.S. et al. Spatial relationships between fishes and amphibians: implications for conservation planning in a Neotropical Hotspot. Environmental Management 70, 978–989 (2022). https://doi.org/10.1007/s00267-022-01707-7
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DOI: https://doi.org/10.1007/s00267-022-01707-7