Identification of Key Habitats for the Conservation of Three Bird Species in the Ecuadorian Chocó Biogeographic Region
A Diffuse Overlap Approach to Current and Future Ecological Niches
DOI:
https://doi.org/10.18172/cig.6898Keywords:
species distribution, climate change, tropical biodiversity, ornithologyAbstract
Climate change is inducing modifications in species distribution patterns within biodiverse regions such as the Ecuadorian Chocó Biogeographical region. This study identifies priority conservation areas for three key bird species (Cephalopterus penduliger, Morphnarchus princeps, and Bangsia edwardsi) using ecological niche modeling and fuzzy overlay approaches. MaxEnt software was used to project current and future suitability under the SSP585 scenario (2021 - 2040), integrating bioclimatic and topographic variables with presence records. Validation using TSS and AUC indicated robust model performance. Results project heterogeneous responses to climate change: a critical niche contraction for Cephalopterus penduliger (31.4% loss of suitable habitat) and a moderate reduction for Morphnarchus princeps (-10.9%), driven by thermal and topographic constraints. In contrast, Bangsia edwardsi showed a potential range expansion of 16.6% towards higher altitudes. Fuzzy overlay analysis (Fuzzy Gamma) highlighted the mountainous foothills in the east of the region (800-1,800 m a.s.l.) as priority climate refugia. We conclude that while refugia exist, the viability of these species will depend on the protection of altitudinal corridors against landscape fragmentation.
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Allouche, O., Tsoar, A., Kadmon, R. 2006. Assessing the accuracy of species distribution models: prevalence, kappa and the true skill statistic (TSS). Journal of Applied Ecology, 43(6), 1223-1232. https://doi.org/10.1111/j.1365-2664.2006.01214.x DOI: https://doi.org/10.1111/j.1365-2664.2006.01214.x
Araújo, M.B., New, M. 2007. Ensemble forecasting of species distributions. Trends in Ecology & Evolution, 22(1), 42-47. https://doi.org/10.1016/j.tree.2006.09.010 DOI: https://doi.org/10.1016/j.tree.2006.09.010
Araújo, M.B., Pearson, R.G., Thuiller, W., Erhard, M. 2005. Validation of species–climate impact models under climate change. Global Change Biology, 11(9), 1504-1513. https://doi.org/10.1111/j.1365-2486.2005.01000.x DOI: https://doi.org/10.1111/j.1365-2486.2005.01000.x
Araújo, M.B., Peterson, A.T. 2012. Uses and misuses of bioclimatic envelope modeling. Ecology, 93(7), 1527-1539. https://doi.org/10.1890/11-1930.1 DOI: https://doi.org/10.1890/11-1930.1
Armenteras, D., Rodríguez, N. 2014. Dynamics and causes of deforestation in Latin American forests: a review since 1990. Colombia Forestal, 17(2), 233. https://doi.org/10.14483/udistrital.jour.colomb.for.2014.2.a07 DOI: https://doi.org/10.14483/udistrital.jour.colomb.for.2014.2.a07
Bellard, C., Bertelsmeier, C., Leadley, P., Thuiller, W., Courchamp, F. 2012. Impacts of climate change on the future of biodiversity. Ecology Letters, 15(4), 365-377. https://doi.org/10.1111/j.1461-0248.2011.01736.x DOI: https://doi.org/10.1111/j.1461-0248.2011.01736.x
Besnard, A.G., La Jeunesse, I., Pays, O., Secondi, J. 2013. Topographic wetness index predicts the occurrence of bird species in floodplains. Diversity and Distributions, 19(8), 955-963. https://doi.org/10.1111/ddi.12047 DOI: https://doi.org/10.1111/ddi.12047
Bierregaard, R.O., Boesman, P.F.D., Marks, J.S. 2020. Barred Hawk (Morphnarchus princeps). In J. del Hoyo, A. Elliott, J. Sargatal, D. Christie, E. de Juana (Eds.), Birds of the World. Cornell Lab of Ornithology. https://doi.org/10.2173/bow.barhaw1.01 DOI: https://doi.org/10.2173/bow.barhaw1.01
Buckley, L.B., Roughgarden, J. 2004. Effects of changes in climate and land use. Nature, 430(6995), 34. https://doi.org/10.1038/nature02717 DOI: https://doi.org/10.1038/nature02717
Calvas, G., Maita, J., Angamarca, E., Eguiguren, P., Veintimilla, D. 2024. Impacts of climate change on the potential distribution of prioritized forest species in the Ecuadorian Amazon. Bosques Latitud Cero, 14(1), 31-46. https://doi.org/10.54753/blc.v14i1.2115 DOI: https://doi.org/10.54753/blc.v14i1.2115
Canterbury, G.E., Martin, T.E., Petit, D.R., Petit, L.J., Bradford, D.F. 2000. Bird Communities and Habitat as Ecological Indicators of Forest Condition in Regional Monitoring. Conservation Biology, 14(2), 544-558. https://doi.org/10.1046/j.1523-1739.2000.98235.x DOI: https://doi.org/10.1046/j.1523-1739.2000.98235.x
Chen, I.-C., Hill, J.K., Ohlemüller, R., Roy, D.B., Thomas, C.D. 2011. Rapid Range Shifts of Species Associated with High Levels of Climate Warming. Science, 333(6045), 1024-1026. https://doi.org/10.1126/science.1206432 DOI: https://doi.org/10.1126/science.1206432
Convention on Biological Diversity [CBD] (2022). Kunming–Montreal global biodiversity framework (CBD/COP/DEC/15/4). https://www.cbd.int/gbf
Dodson, C.H., Gentry, A.H. 1991. Biological Extinction in Western Ecuador. Annals of the Missouri Botanical Garden, 78(2), 273. https://doi.org/10.2307/2399563 DOI: https://doi.org/10.2307/2399563
Elith, J., Leathwick, J.R. 2009. Species distribution models: Ecological explanation and prediction across space and time. Annual Review of Ecology, Evolution, and Systematics, 40, 677-697. https://doi.org/10.1146/annurev.ecolsys.110308.120159 DOI: https://doi.org/10.1146/annurev.ecolsys.110308.120159
Elith, J., Phillips, S.J., Hastie, T., Dudík, M., Chee, Y.E., Yates, C.J. 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1), 43-57. https://doi.org/10.1111/j.1472-4642.2010.00725.x DOI: https://doi.org/10.1111/j.1472-4642.2010.00725.x
Esri (2023). How Fuzzy Overlay works. ArcGIS Pro Documentation. Redlands, CA: Environmental Systems Research Institute. https://pro.arcgis.com
Fagua, J.C., Ramsey, R.D. 2019. Geospatial modeling of land cover change in the Chocó-Darien global ecoregion of South America; One of most biodiverse and rainy areas in the world. PLOS ONE, 14(2), e0211324. https://doi.org/10.1371/journal.pone.0211324 DOI: https://doi.org/10.1371/journal.pone.0211324
Feng, X., Peterson, A.T., Aguirre‐López, L.J., Burger, J.R., Chen, X., Papeş, M. 2024. Rethinking ecological niches and geographic distributions in face of pervasive human influence in the Anthropocene. Biological Reviews, 99(4), 1481-1503. https://doi.org/10.1111/brv.13077 DOI: https://doi.org/10.1111/brv.13077
Fick, S.E., Hijmans, R.J. 2017. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12), 4302-4315. https://doi.org/10.1002/joc.5086 DOI: https://doi.org/10.1002/joc.5086
Fielding, A., Bell, J. 1997. A review of methods for the assessment of prediction errors in conservation presence/absence models. Environmental Conservation, 24(1), 38-49. https://doi.org/10.1017/S0376892997000088 DOI: https://doi.org/10.1017/S0376892997000088
Franklin, J. 2010. Mapping species distributions: Spatial inference and prediction. Cambridge University Press, Cambridge, UK. https://doi.org/10.1017/CBO9780511810602 DOI: https://doi.org/10.1017/CBO9780511810602
Freeman, E.A., Moisen, G.G. 2008. PresenceAbsence: An R Package for Presence-Absence Analysis. Journal of Statistical Software, 23(11), 1-31. https://doi.org/10.18637/jss.v023.i11 DOI: https://doi.org/10.18637/jss.v023.i11
Freile, J., G, T.S., International, B., Foundation, C.D., Carrasco, L. 2019. Lista Roja de las Aves del Ecuador (Issue December).
GBIF.org. 2024a. GBIF Occurrence Download. https://doi.org/10.15468/dl.n9s8kv
GBIF.org. 2024b. GBIF Occurrence Download. https://doi.org/10.15468/dl.3qdhkj
GBIF.org. 2024c. GBIF Occurrence Download. https://doi.org/10.15468/dl.drnyqz
Guisan, A., Thuiller, W. 2005. Predicting species distribution: offering more than simple habitat models. Ecology Letters, 8(9), 993-1009. https://doi.org/10.1111/j.1461-0248.2005.00792.x DOI: https://doi.org/10.1111/j.1461-0248.2005.00792.x
Guisan, A., Petitpierre, B., Broennimann, O., Daehler, C., Kueffer, C. 2014. Unifying niche shift studies: insights from biological invasions. Trends in Ecology & Evolution, 29(5), 260-269. https://doi.org/10.1016/j.tree.2014.02.009 DOI: https://doi.org/10.1016/j.tree.2014.02.009
Hansen, M.C., Wang, L., Song, X.-P., Tyukavina, A., Turubanova, S., Potapov, P.V., Stehman, S.V. 2020. The fate of tropical forest fragments. Science Advances, 6(11). https://doi.org/10.1126/sciadv.aax8574 DOI: https://doi.org/10.1126/sciadv.aax8574
Hattab, T., Ben Rais Lasram, F., Albouy, C., Sammari, C., Romdhane, M.S., Cury, P., Leprieur, F., Le Loc'h, F. 2013. The Use of a Predictive Habitat Model and a Fuzzy Logic Approach for Marine Management and Planning. PLoS ONE, 8(10), e76430. https://doi.org/10.1371/journal.pone.0076430 DOI: https://doi.org/10.1371/journal.pone.0076430
Huntley, B., Collingham, Y.C., Willis, S.G., Green, R.E. 2008. Potential Impacts of Climatic Change on European Breeding Birds. PLoS ONE, 3(1), e1439. https://doi.org/10.1371/journal.pone.0001439 DOI: https://doi.org/10.1371/journal.pone.0001439
Intergovernmental Panel on Climate Change (IPCC). 2023. Climate Change 2022 – Impacts, Adaptation and Vulnerability. Cambridge University Press. https://doi.org/10.1017/9781009325844 DOI: https://doi.org/10.1017/9781009325844
Jácome, G., Vilela, P., Yoo, C. 2019a. Present and future incidence of dengue fever in Ecuador nationwide and coast region scale using species distribution modeling for climate variability's effect. Ecological Modelling, 400, 60-72. https://doi.org/10.1016/j.ecolmodel.2019.03.014 DOI: https://doi.org/10.1016/j.ecolmodel.2019.03.014
Jácome, G., Vilela, P., Yoo, C. 2019b. Social-ecological modelling of the spatial distribution of dengue fever and its temporal dynamics in Guayaquil, Ecuador for climate change adaption. Ecological Informatics, 49, 1-12. https://doi.org/10.1016/j.ecoinf.2018.11.001 DOI: https://doi.org/10.1016/j.ecoinf.2018.11.001
Jenkins, C.N., Pimm, S.L., Joppa, L.N. 2013. Global patterns of terrestrial vertebrate diversity and conservation. Proceedings of the National Academy of Sciences, 110(28). https://doi.org/10.1073/pnas.1302251110 DOI: https://doi.org/10.1073/pnas.1302251110
Jetz, W., Wilcove, D.S., Dobson, A.P. 2007. Projected Impacts of Climate and Land-Use Change on the Global Diversity of Birds. PLoS Biology, 5(6), e157. https://doi.org/10.1371/journal.pbio.0050157 DOI: https://doi.org/10.1371/journal.pbio.0050157
Lenoir, J., Gégout, J.C., Marquet, P.A., de Ruffray, P., Brisse, H. 2008. A Significant Upward Shift in Plant Species Optimum Elevation During the 20th Century. Science, 320(5884), 1768-1771. https://doi.org/10.1126/science.1156831 DOI: https://doi.org/10.1126/science.1156831
Loarie, S.R., Duffy, P.B., Hamilton, H., Asner, G P., Field, C.B., Ackerly, D.D. 2009. The velocity of climate change. Nature, 462(7276), 1052-1055. https://doi.org/10.1038/nature08649 DOI: https://doi.org/10.1038/nature08649
Medrano-Vizcaíno, P., Bedoya, J., Cadena-Ortiz, H. 2020. Dinámica de la distribución y hospederos de Molothrus bonariensis (Passeriformes: Icteridae) en Ecuador. Caldasia, 42(1), 38-49. https://doi.org/10.15446/caldasia.v42n1.78891 DOI: https://doi.org/10.15446/caldasia.v42n1.78891
Michael, L., Collins, A. 2021. Getting to Know ArcGIS Desktop 10.8. Esri Press.
Ministerio del Ambiente del Ecuador. (2020). Mapa de cobertura y uso de la tierra del Ecuador continental (escala 1:100,000). http://ide.ambiente.gob.ec/mapainteractivo/
Moya, W., Jacome, G., Yoo, C. 2017. Past, current, and future trends of red spiny lobster based on PCA with MaxEnt model in Galapagos Islands, Ecuador. Ecology and Evolution, 7(13), 4881-4890. https://doi.org/10.1002/ece3.3054 DOI: https://doi.org/10.1002/ece3.3054
Myers, N., Mittermeier, R.A., Mittermeier, C.G., da Fonseca, G.A.B., Kent, J. 2000. Biodiversity hotspots for conservation priorities. Nature, 403(6772), 853-858. https://doi.org/10.1038/35002501 DOI: https://doi.org/10.1038/35002501
Neate-Clegg, M., Jones, S.E.I., Tobias, J.A., Newmark, W.D., Şekercioǧlu, Ç.H. 2021. Ecological Correlates of Elevational Range Shifts in Tropical Birds. Frontiers in Ecology and Evolution, 9. https://doi.org/10.3389/fevo.2021.621749 DOI: https://doi.org/10.3389/fevo.2021.621749
Phillips, S.J., Anderson, R.P., Schapire, R.E. 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling, 190(3-4), 231-259. https://doi.org/10.1016/j.ecolmodel.2005.03.026 DOI: https://doi.org/10.1016/j.ecolmodel.2005.03.026
R Core Team. 2025. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org
Ramesh, K., Sambandam, S., Rawat, G. 1999. Ecology and Conservation Status of the Pheasants of Great Himalayan National Park, Western Himalaya. Wildlife Institute of India.
Ramírez-Alán, O., Vargas-Masís, R., Cordero, R.A. 2015. Changes in the altitudinal distribution of birds in Río Macho, Cartago, Costa Rica. El Hornero, 30(2), 55-61. https://doi.org/10.56178/eh.v30i2.583 DOI: https://doi.org/10.56178/eh.v30i2.583
Renjifo, L.M., Gómez, M.F., Velásquez-Tibatá, J., Amaya-Villarreal, A.M., Kattan, G.H., Amaya-Espinel, J.D., Burbano-Girón, J.I. 2014. Red Book of Birds of Colombia: Volume I. Rainforests of the Andes and the Pacific Coast. (1st ed.). Pontificia Universidad Javeriana Publishing House and Alexander von Humboldt Biological Resources Research Institute.
Richart, C.H., Burns, K.J. 2020. Moss-backed Tanager (Bangsia edwardsi). In S. M. Billerman, B. K. Keeney, P. G. Rodewald, T. S. Schulenberg (Eds.), Birds of the World. Cornell Lab of Ornithology. https://doi.org/10.2173/bow.mobtan1.01 DOI: https://doi.org/10.2173/bow.mobtan1.01
Ridgely, R.S., Greenfield, P.J. 2001. The Birds of Ecuador. Cornell University Press.
Rivera, C., Funes, K., Merino-Villalta, J., Beltrán-Sánchez, A. 2021. Guide to the Maximum Entropy species distribution model, case study of the yellow-naped parrot Amazona auropalliata in El Salvador. https://minerva.sic.ues.edu.sv
Rosas, Y.M., Peri, P.L., Benítez, J., Lencinas, M.V., Politi, N., Martínez Pastur, G. 2023. Potential biodiversity map of bird species (Passeriformes): Analyses of ecological niche, environmental characterization and identification of priority conservation areas in southern Patagonia. Journal for Nature Conservation, 73, 126413. https://doi.org/10.1016/j.jnc.2023.126413 DOI: https://doi.org/10.1016/j.jnc.2023.126413
Şekercioğlu, Ç.H., Primack, R.B., Wormworth, J. 2012. The effects of climate change on tropical birds. Biological Conservation, 148(1), 1-18. https://doi.org/10.1016/j.biocon.2011.10.019 DOI: https://doi.org/10.1016/j.biocon.2011.10.019
Sergio, F., Newton, I., Marchesi, L., Pedrini, P. 2006. Ecologically justified charisma: preservation of top predators delivers biodiversity conservation. Journal of Applied Ecology, 43(6), 1049-1055. https://doi.org/10.1111/j.1365-2664.2006.01218.x DOI: https://doi.org/10.1111/j.1365-2664.2006.01218.x
Sierra, R., Campos, F., Chamberlin, J. 2002. Assessing biodiversity conservation priorities: ecosystem risk and representativeness in continental Ecuador. Landscape and Urban Planning, 59(2), 95-110. https://doi.org/10.1016/S0169-2046(02)00006-3 DOI: https://doi.org/10.1016/S0169-2046(02)00006-3
Sierra-Morales, P., Rojas-Soto, O., Ríos-Muñoz, C.A., Ochoa-Ochoa, L.M., Flores-Rodríguez, P., Almazán-Núñez, R.C. 2021. Climate change projections suggest severe decreases in the geographic ranges of bird species restricted to Mexican humid mountain forests. Global Ecology and Conservation, 30, e01794. https://doi.org/10.1016/j.gecco.2021.e01794 DOI: https://doi.org/10.1016/j.gecco.2021.e01794
Singh, H., Kumar, N., Kumar, M., Singh, R. 2020. Modelling habitat suitability of western tragopan (Tragopan melanocephalus) a range-restricted vulnerable bird species of the Himalayan region, in response to climate change. Climate Risk Management, 29, 100241. https://doi.org/10.1016/j.crm.2020.100241 DOI: https://doi.org/10.1016/j.crm.2020.100241
Snow, D., de Juana, E., Sharpe, C. 2020. Long-wattled Umbrellabird (Cephalopterus penduliger). In J. del Hoyo, A. Elliott, J. Sargatal, D. Christie, E. de Juana (Eds.), Birds of the World. Cornell Lab of Ornithology. https://doi.org/10.2173/bow.lowumb1.01 DOI: https://doi.org/10.2173/bow.lowumb1.01
Thomas, C.D., Cameron, A., Green, R.E., Bakkenes, M., Beaumont, L.J., Collingham, Y.C., Erasmus, B.F.N., de Siqueira, M.F., Grainger, A., Hannah, L., Hughes, L., Huntley, B., van Jaarsveld, A.S., Midgley, G.F., Miles, L., Ortega-Huerta, M.A., Townsend Peterson, A., Phillips, O.L., Williams, S.E. 2004. Extinction risk from climate change. Nature, 427(6970), 145-148. https://doi.org/10.1038/nature02121 DOI: https://doi.org/10.1038/nature02121
Uribe, E. 2015. Climate change and its effects on biodiversity in Latin America. Economic Commission for Latin America and the Caribbean.
Vilela, P., Jácome, G., Kim, S.Y., Nam, K., Yoo, C. 2020. Population response modeling and habitat suitability of Cobitis choii fish species in South Korea for climate change adaptation. Ecotoxicology and Environmental Safety, 189, 109949. https://doi.org/10.1016/j.ecoenv.2019.109949 DOI: https://doi.org/10.1016/j.ecoenv.2019.109949
Visser, H., de Nijs, T. 2006. The Map Comparison Kit. Environmental Modelling & Software, 21(3), 346-358. https://doi.org/10.1016/j.envsoft.2004.11.013 DOI: https://doi.org/10.1016/j.envsoft.2004.11.013
Yoon, S., Lee, W.-H. 2023. Application of true skill statistics as a practical method for quantitatively assessing CLIMEX performance. Ecological Indicators, 146, 109830. https://doi.org/10.1016/j.ecolind.2022.109830 DOI: https://doi.org/10.1016/j.ecolind.2022.109830
Zabihi, K., Paige, G.B., Hild, A.L., Miller, S.N., Wuenschel, A., Holloran, M.J. 2017. A fuzzy logic approach to analyse the suitability of nesting habitat for greater sage-grouse in western Wyoming. Journal of Spatial Science, 62(2), 215-234. https://doi.org/10.1080/14498596.2017.1292965 DOI: https://doi.org/10.1080/14498596.2017.1292965
Zapata-Ríos, G., Araguillin, E. 2013. Conservation Status of the Jaguar and White-lipped Peccary in Western Ecuador. https://api.semanticscholar.org/CorpusID:129539059
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