Abstract
Patterns of detectability and occupation of the jaguar (Panthera onca) vary throughout its distribution, being determined primarily by vegetation cover, prey availability, and anthropogenic factors. However, there is still a large knowledge gap regarding what determines jaguar occupancy, especially in the Amazon. This knowledge gap is even more pronounced for oceanic islands, which represent unique and very sensitive ecosystems, such as the Maracá-Jipioca Islands of the Northeastern Brazilian Amazon. Our study aimed to establish the spatial ecology of jaguars in this insular ecosystem and to provide information to facilitate sustainable management of the population there. We assessed how different factors (vegetation type and prey availability) potentially influence detectability and occupancy patterns of the jaguars of the Maracá-Jipioca Islands. We found that greater wetland (beach-sea and lagoon-channel) cover was the main driver of jaguar detectability and occupancy. We revealed factors driving the population and spatial ecology of jaguars in an insular system. Despite imminent threats to the region, the knowledge we present can inform the sustainable management of jaguars to ensure that the fundamental and unique ecosystem services provided by this top predator are maintained.
Similar content being viewed by others
Data Availability
We declare that our data is available.
References
Allen ML, Green AM, Moll RJ (2022) Modelling the distribution and intraguild associations of an understudied mesocarnivore across the contiguous United States. Divers Distrib 28:1022–1033. https://doi.org/10.1111/ddi.13502
Allison MA, Nittrouer CA, LE do Faria C Jr (1995) Rates and mechanisms of shoreface progradation and retreat downdrift of the Amazon River mouth. Mar Geol 125:373–392. https://doi.org/10.1016/0025-3227(95)00020-Y
Amit R, Gordillo-Chávez EJ, Bone R (2013) Jaguar and puma attacks on livestock in Costa Rica. Human-Wildlife Interact 7:77–84
Anile S, Greenspan E, Nielsen CK (2020) Determinants of jaguar occupancy at the northern range edge. Mammal Res 65:667–677. https://doi.org/10.1007/s13364-020-00511-0
Anthony EJ, Gardel A, Gratiot N (2014) Fluvial sediment supply, mud banks, cheniers and the morphodynamics of the coast of South America between the Amazon and Orinoco river mouths. Geol Soc London Special Publ 388:533–560. https://doi.org/10.1144/SP388
Anthony EJ, Brondizio ES, Dos Santos VF, Gardel A, Besset M (2021) Sustainable management, conservation, and restoration of the Amazon River delta and Amazon-Influenced Guianas Coast: a review. Water 13:1371. https://doi.org/10.3390/w13101371
Arias-Alzate A, González-Maya JF, Arroyo-Cabrales J, Martínez-Meyer E (2017) Wild felid range shift due to climatic constraints in the Americas: a bottleneck explanation for extinct felids? J Mamm Evol 24:427–438. https://doi.org/10.1007/s10914-016-9350-0
Arnold TW (2010) Uninformative parameters and model selection using Akaike’s Information Criterion. J Wildl Manag 74(6):1175–1178. https://doi.org/10.1111/j.1937-2817.2010.tb01236.x
Arroyo-Arce S, Guilder J, Salom-Pérez R (2014) Habitat features influencing jaguar Panthera onca (Carnivora: Felidae) occupancy in Tortuguero National Park, Costa Rica. Rev Biol Trop 62:1449–1458
Balbuena-Serrano Á, Zarco-González MM, Monroy-Vilchis O, Morato RG, De Paula RC (2021) Hotspots of livestock depredation by pumas and jaguars in Brazil: a biome-scale analysis. Anim Conserv 24:181–193. https://doi.org/10.1111/acv.12619
Barton K (2009a) MuMIn: multi-model inference. http://r-forge.r-project.org/projects/mumin/
Barton K (2009b) MuMIn: multi-model inference. R package version 1. 0. 0. http://r-forge.r-project.org/projects/mumin/
Burnham KP, Anderson DR, Huyvaert KP (2011) AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons. Behav Ecol Sociobiol 65:23–35. https://doi.org/10.1007/s00265-010-1029-6
Burton AC et al (2015) Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes. J Appl Ecol 52:675–685. https://doi.org/10.1111/1365-2664.12432
Carral-García M, I Buenrostro, H Weissenberger, V Rosales, J Pérez-Flores (2021) Dog predation by jaguars in a tourist town on the Mexican Caribbean. Neotropical Biology & Conservation 16:461–474. https://doi.org/10.3897/neotropical.16.e68973
Carvalho WD, Rosalino LM, Godoy MSM, Giorgete MF, Adania CH, Esbérard CEL (2019) Temporal activity of rural free-ranging dogs: implications for the predator and prey species in the Brazilian Atlantic Forest. NeoBiota 45:55. https://doi.org/10.3897/neobiota.45.30645
Castro G et al (2022) Drivers of occupancy patterns for the red fox, Vulpes vulpes, in Mediterranean Eucalyptus plantations. Forest Ecol Manag 519:120293. https://doi.org/10.1016/j.foreco.2022.120293
Craighead KA, Yacelga M (2021) Indigenous peoples’ displacement and jaguar survival in a warming planet. Global Sustain 4. https://doi.org/10.1017/sus.2021.6
de Azevedo FCC, Murray DL (2007) Evaluation of potential factors predisposing livestock to predation by jaguars. J Wildl Manag 71:2379–2386. https://doi.org/10.2193/2006-520
Dormann CF et al (2013) Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36:27–46. https://doi.org/10.1111/j.1600-0587.2012.07348.x
Dos Santos ES et al (2018) The impact of channel capture on estuarine hydro-morphodynamics and water quality in the Amazon delta. Sci Total Environ 624:887–899. https://doi.org/10.1016/j.scitotenv.2017.12.211
Duarte HOB, Norris D, Michalski F (2018) Assessment of attractants for neotropical mammals. Trop Conserv Sci 11:1940082918800665. https://doi.org/10.1177/194008291880066
Duarte HOB, Boron V, Carvalho WD, de Toledo JJ (2022) Amazon islands as predator refugia: jaguar density and temporal activity in Maracá-Jipioca. J Mammal 103:440–446. https://doi.org/10.1093/jmammal/gyab142
Eriksson CE et al (2022) Extensive aquatic subsidies lead to territorial breakdown and high density of an apex predator. Wiley Online Library. https://doi.org/10.1002/ecy.3543
Farmer A, Durbian F (2006) Estimating shorebird numbers at migration stopover sites. The Condor 108:792–807. https://doi.org/10.1093/condor/108.4.792
Fernandez GB et al (2019) Natural landscapes along Brazilian coastline. 199–218 in The Physical Geography of Brazil. Springer. https://doi.org/10.1007/978-3-030-04333-9_10
Ferreira LM, Theulen V, Coutinho IS, Oliveira CG, Gomes BT and LF Jr (2017) Plano de Manejo da Estação Ecológica de Maracá-Jipioca (EEMJ). Instituto Chico Mendes de Conservação da Biodiversidade. Amapá, Brazil
Fiske I and R Chandler (2011) Unmarked: an R package for fitting hierarchical models of wildlife occurrence and abundance. Journal of statistical software 43:1–23. https://doi.org/10.18637/jss.v043.i10
Foster RJ, Harmsen BJ, Valdes B, Pomilla C, Doncaster CP (2010) Food habits of sympatric jaguars and pumas across a gradient of human disturbance. J Zool 280:309–318. https://doi.org/10.1111/j.1469-7998.2009.00663.x
Friedeberg-Gutiérrez DB et al (2022) Landscape patterns in the occupancy of jaguars (Panthera onca) and their primary prey species in a disturbed region of the Selva Maya in Mexico. Mammalia. https://doi.org/10.1515/mammalia-2021-0149
González CAL and Miller BJ (2002) Do jaguars (Panthera onca) depend on large prey? Western North American Naturalist 62:218–222. https://www.jstor.org/stable/41717194
Gorelick N, Hancher M, Dixon M, Ilyushchenko S, Thau D, Moore R (2017) Google Earth Engine: planetary-scale geospatial analysis for everyone. Remote Sens Environ 202:18–27
Hebblewhite M, Haydon DT (2010) Distinguishing technology from biology: a critical review of the use of GPS telemetry data in ecology. Philos Trans Royal Soc b: Biological Sci 365:2303–2312. https://doi.org/10.1098/rstb.2010.0087
Hunter L (2020) Field guide to carnivores of the world. Bloomsbury Publishing
Jędrzejewski W et al (2017) Predicting carnivore distribution and extirpation rate based on human impacts and productivity factors; assessment of the state of jaguar (Panthera onca) in Venezuela. Biol Cons 206:132–142. https://doi.org/10.1016/j.biocon.2016.09.027
Jędrzejewski W et al (2018) Estimating large carnivore populations at global scale based on spatial predictions of density and distribution–application to the jaguar (Panthera onca). PloS one 13:e0194719. https://doi.org/10.1371/journal.pone.0194719
Karanth KU, Srivathsa A, Vasudev D, Puri M, Parameshwaran R, Kumar NS (2017) Spatio-temporal interactions facilitate large carnivore sympatry across a resource gradient. Proc Royal Soc b: Biol Sci 284:20161860. https://doi.org/10.1098/rspb.2016.1860
Kolowski JM, Oley J, McShea WJ (2021) High-density camera trap grid reveals lack of consistency in detection and capture rates across space and time. Ecosphere 12:e03350. https://doi.org/10.1002/ecs2.3350
Lanctot RB, Hartman A, Oring LW, Guy Morrison RI (2008) Response to farmer (2008): limitations of statistically derived population estimates, and suggestions for deriving national population estimates for shorebirds. Auk 125:983–985. https://doi.org/10.1525/auk.2008.21008.2
MacArthur RH, Wilson EO (2016) The theory of island biogeography. Princeton University Press, The Theory of Island Biogeography
MacKenzie DI, Nichols JD, Lachman GB, Droege S, Andrew Royle J, Langtimm CA (2002) Estimating site occupancy rates when detection probabilities are less than one. Ecology 83:2248–2255
MacKenzie DI, Nichols JD, Royle JA, Pollock KH, Bailey LL, Hines JE (2017) Occupancy estimation and modeling: inferring patterns and dynamics of species occurrence. Elsevier
Projeto MapBiomas (2022) Coleção da Série Anual de Mapas da Cobertura Uso do Solo o Brasil vol 6. https://mapbiomas.org/. Accessed 30 July 2022
Mazerolle MJ, Mazerolle MMJ (2017) Package ‘AICcmodavg.’ R package 281
McManus J, Schurch MPE, Goets S, Faraut L, Couldridge V, Smuts B (2022) Delineating functional corridors linking leopard habitat in the Eastern and Western Cape, South Africa. Conservation 2:99–121. https://doi.org/10.3390/conservation2010009
Meredith M (2020) wiqid: Quick and Dirty Estimates for Wildlife Populations. R package version 0.3.0
Miller EH (1984) Communication in breeding shorebirds BT - shorebirds: breeding behavior and populations. In: (J. Burger & B. L. Olla, (ed) Springer. US, Boston, MA, pp 169–241
Morato RG et al (2016) Space use and movement of a neotropical top predator: the endangered jaguar. PloS one 11:e0168176. https://doi.org/10.1371/journal.pone.0168176
Morcatty TQ et al (2020) Illegal trade in wild cats and its link to Chinese-led development in Central and South America. Conserv Biol 34:1525–1535. https://doi.org/10.1111/cobi.13498
Niedballa J, Sollmann R, Courtiol A, Wilting A (2016) camtrapR: an R package for efficient camera trap data management. Methods Ecol Evol 7:1457–1462. https://doi.org/10.1111/2041-210X.12600
Nittrouer CA, Kuehl SA, Sternberg RW, Figueiredo AG Jr, Faria LEC (1995) An introduction to the geological significance of sediment transport and accumulation on the Amazon continental shelf. Mar Geol 125:177–192. https://doi.org/10.1016/0025-3227(95)00075-A
O’Connell AF, Nichols JD, Karanth KU (2011) Camera traps in animal ecology: methods and analyses. Springer
O’Connor KM, Nathan LR, Liberati MR, Tingley MW, Vokoun JC, Rittenhouse TAG (2017) Camera trap arrays improve detection probability of wildlife: investigating study design considerations using an empirical dataset. PLoS One 12:e0175684. https://doi.org/10.1016/j.scitotenv.2017.12.211
QGIS Development Team (2022) QGIS Geographic Information System. Open Source Geospatial Foundation Project. https://www.qgis.osgeo.org
Quigley H, R Foster, L Petracca, E Payan, R Salom, and B Harmsen (2017) Panthera onca. In: IUCN 2023. The IUCN Red List of Threatened Species. Version 2023.1. https://www.iucnredlist.org. Accessed 08 Mar 2023
R Core Team (2022) R: A language and environment for statistical computing. Austria, Vienna
Rabelo RM, Aragón S, Bicca-Marques JC (2019) Prey abundance drives habitat occupancy by jaguars in Amazonian floodplain river islands. Acta Oecologica 97:28–33. https://doi.org/10.1016/j.actao.2019.04.004
Rabinowitz A, Zeller KA (2010) A range-wide model of landscape connectivity and conservation for the jaguar, Panthera onca. Biol Cons 143:939–945. https://doi.org/10.1016/j.biocon.2010.01.002
Sanderson EW et al (2002) Planning to save a species: the jaguar as a model. Conserv Biol 16:58–72
Santos VF dos, Short AD, Mendes AC (2016) Beaches of the amazon coast: Amapá and West Pará: in Brazilian beach systems. Springer 1:67–93
Srbek-Araujo AC, Chiarello AG (2007) Armadilhas fotográficas na amostragem de mamíferos: considerações metodológias e comparação de equipamentos. Rev Bras Zool 24:647–656. https://doi.org/10.1590/S0101-81752007000300016
Tavares JPN (2014) Características da climatologia de Macapá-AP. Caminhos de Geografia 15:138–151
Villalva P, Palomares F (2022) A continental approach to jaguar extirpation: a tradeoff between anthropic and intrinsic causes. J Nature Conserv 66:126145. https://doi.org/10.1016/j.jnc.2022.126145
Acknowledgements
We are extremely grateful to the World Wide Fund for Nature WWF-Brazil and the Chico Mendes Institute for Biodiversity Conservation (ICMBio) for their funding and operational logistics support for field research and especially to all the firefighters and field assistants for all their hard work in the field.
Funding
We thank Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) for funding of the doctoral scholarship to the author HOBD. WDC was supported by “Ayudas Maria Zambrano” (CA3/RSUE/2021–00197), funded by the Spanish Ministry of Universities. Additional training support was provided by Pós-graduação em Biodiversidade Tropical (PPGBio) and Universidade Federal do Amapá (UNIFAP), funded by the Programa Nacional de Cooperação Acadêmica da Amazônia (PROCAD-AM/CAPES, no. 88887.200472/ 2018–00). We thank Programa Nacional de Cooperação Acadêmica na Amazônica (PROCADAmazônia/CAPES) for funding of an international exchange during the PhD of HOBD, which was realized in collaboration with cE3c—Center for Ecology, Evolution and Environmental Change & Change—Global Change and Sustainability Institute, Faculdade de Ciências, Universidade de Lisboa, Portugal, which was funded by the FCT/MCTES through national funds and co-funded by FEDER within the PT2020 Partnership Agreement and Compete 2020 (UIDB/00329/2020).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
No direct funding was obtained for the present work, but the data presented herein were collected with funding and operational logistics support for field research from the World Wide Fund for Nature (WWFBrazil) and the Chico Mendes Institute for Biodiversity Conservation (ICMBio). Therefore, there is no conflict of financial interests. The study was authorized by ICMBio. The methods applied were not invasive, and we did not use animal experimentation, so there was no need for specific approval from an appropriate ethics committee for research involving animals.
Additional information
Communicated by: Krzysztof Schmidt
Publisher's note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary Information
Below is the link to the electronic supplementary material.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Duarte, H.O.B., Carvalho, W.D., de Toledo, J.J. et al. Big cats like water: occupancy patterns of jaguar in a unique and insular Brazilian Amazon ecosystem. Mamm Res 68, 263–271 (2023). https://doi.org/10.1007/s13364-023-00681-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13364-023-00681-7