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Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes

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  1. Bruce G. Marcot & Anca M. Hanea, 2021. "What is an optimal value of k in k-fold cross-validation in discrete Bayesian network analysis?," Computational Statistics, Springer, vol. 36(3), pages 2009-2031, September.
  2. Herkt, K. Matthias B. & Barnikel, Günter & Skidmore, Andrew K. & Fahr, Jakob, 2016. "A high-resolution model of bat diversity and endemism for continental Africa," Ecological Modelling, Elsevier, vol. 320(C), pages 9-28.
  3. Worthington, Thomas A. & Zhang, Tianjiao & Logue, Daniel R. & Mittelstet, Aaron R. & Brewer, Shannon K., 2016. "Landscape and flow metrics affecting the distribution of a federally-threatened fish: Improving management, model fit, and model transferability," Ecological Modelling, Elsevier, vol. 342(C), pages 1-18.
  4. Holder, Anna M. & Markarian, Arev & Doyle, Jessie M. & Olson, John R., 2020. "Predicting geographic distributions of fishes in remote stream networks using maximum entropy modeling and landscape characterizations," Ecological Modelling, Elsevier, vol. 433(C).
  5. Boria, Robert A. & Olson, Link E. & Goodman, Steven M. & Anderson, Robert P., 2014. "Spatial filtering to reduce sampling bias can improve the performance of ecological niche models," Ecological Modelling, Elsevier, vol. 275(C), pages 73-77.
  6. Zeng, Yiwen & Low, Bi Wei & Yeo, Darren C.J., 2016. "Novel methods to select environmental variables in MaxEnt: A case study using invasive crayfish," Ecological Modelling, Elsevier, vol. 341(C), pages 5-13.
  7. An Cao & Xueyi Shi, 2022. "The Effects of Climate Change on Habitat Connectivity: A Case Study of the Brown-Eared Pheasant in China," Land, MDPI, vol. 11(6), pages 1-17, May.
  8. Marianna V. P. Simões & Hanieh Saeedi & Marlon E. Cobos & Angelika Brandt, 2021. "Environmental matching reveals non-uniform range-shift patterns in benthic marine Crustacea," Climatic Change, Springer, vol. 168(3), pages 1-20, October.
  9. Boyang Liu & Xiang Gao & Jun Ma & Zhihui Jiao & Jianhua Xiao & Hongbin Wang, 2018. "Influence of Host and Environmental Factors on the Distribution of the Japanese Encephalitis Vector Culex tritaeniorhynchus in China," IJERPH, MDPI, vol. 15(9), pages 1-15, August.
  10. Ayse Gul Sarikaya & Almira Uzun, 2024. "Modeling the Effects of Climate Change on the Current and Future Potential Distribution of Berberis vulgaris L. with Machine Learning," Sustainability, MDPI, vol. 16(3), pages 1-16, February.
  11. Aldo Rafael Martínez-Sifuentes & Juan Estrada-Ávalos & Ramón Trucíos-Caciano & José Villanueva-Díaz & Nuria Aidé López-Hernández & Juan de Dios López-Favela, 2023. "Predicting Climate Change Impacts on Candelilla ( Euphorbia antisyphilitica Zucc.) for Mexico: An Approach for Mexico’s Primary Harvest Area," Sustainability, MDPI, vol. 15(10), pages 1-16, May.
  12. Özgür Kamer Aksoy, 2022. "Predicting the Potential Distribution Area of the Platanus orientalis L. in Turkey Today and in the Future," Sustainability, MDPI, vol. 14(18), pages 1-18, September.
  13. Wan, Nian-Feng & Jiang, Jie-Xian & Li, Bo, 2014. "Modeling ecological two-sidedness for complex ecosystems," Ecological Modelling, Elsevier, vol. 287(C), pages 36-43.
  14. Cesar A Marchioro, 2016. "Global Potential Distribution of Bactrocera carambolae and the Risks for Fruit Production in Brazil," PLOS ONE, Public Library of Science, vol. 11(11), pages 1-16, November.
  15. Moreno-Amat, Elena & Mateo, Rubén G. & Nieto-Lugilde, Diego & Morueta-Holme, Naia & Svenning, Jens-Christian & García-Amorena, Ignacio, 2015. "Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data," Ecological Modelling, Elsevier, vol. 312(C), pages 308-317.
  16. Amaro, George & Fidelis, Elisangela Gomes & da Silva, Ricardo Siqueira & Marchioro, Cesar Augusto, 2023. "Effect of study area extent on the potential distribution of Species: A case study with models for Raoiella indica Hirst (Acari: Tenuipalpidae)," Ecological Modelling, Elsevier, vol. 483(C).
  17. Arayaselassie Abebe Semu & Tamrat Bekele & Ermias Lulekal & Paloma Cariñanos & Sileshi Nemomissa, 2021. "Projected Impact of Climate Change on Habitat Suitability of a Vulnerable Endemic Vachellia negrii (pic.serm.) kyal. & Boatwr (Fabaceae) in Ethiopia," Sustainability, MDPI, vol. 13(20), pages 1-16, October.
  18. Sillero, Neftalí & Arenas-Castro, Salvador & Enriquez‐Urzelai, Urtzi & Vale, Cândida Gomes & Sousa-Guedes, Diana & Martínez-Freiría, Fernando & Real, Raimundo & Barbosa, A.Márcia, 2021. "Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling," Ecological Modelling, Elsevier, vol. 456(C).
  19. Ortner, Olivia & Wallentin, Gudrun, 2020. "Integration of landscape metric surfaces derived from vector data improves species distribution models," Ecological Modelling, Elsevier, vol. 431(C).
  20. Aldo Rafael Martínez-Sifuentes & José Antonio Hernández-Herrera & Luis Manuel Valenzuela-Núñez & Edwin Amir Briceño-Contreras & Ulises Manzanilla-Quiñones & Argel Gastélum-Arellánez & Ramón Trucíos-Ca, 2022. "Climate Change Impact on the Habitat Suitability of Pseudotsuga menziesii Mirb. Franco in Mexico: An Approach for Its Conservation," Sustainability, MDPI, vol. 14(14), pages 1-17, July.
  21. Boria, Robert A. & Blois, Jessica L., 2018. "The effect of large sample sizes on ecological niche models: Analysis using a North American rodent, Peromyscus maniculatus," Ecological Modelling, Elsevier, vol. 386(C), pages 83-88.
  22. Sutton, G.F. & Martin, G.D., 2022. "Testing MaxEnt model performance in a novel geographic region using an intentionally introduced insect," Ecological Modelling, Elsevier, vol. 473(C).
  23. L. Lombardo & G. Fubelli & G. Amato & M. Bonasera, 2016. "Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 565-588, October.
  24. Valentina Lucia Astrid Laface & Carmelo Maria Musarella & Gianmarco Tavilla & Agostino Sorgonà & Ana Cano-Ortiz & Ricardo Quinto Canas & Giovanni Spampinato, 2023. "Current and Potential Future Distribution of Endemic Salvia ceratophylloides Ard. (Lamiaceae)," Land, MDPI, vol. 12(1), pages 1-21, January.
  25. H. Oğuz Çoban & Ömer K. Örücü & E. Seda Arslan, 2020. "MaxEnt Modeling for Predicting the Current and Future Potential Geographical Distribution of Quercus libani Olivier," Sustainability, MDPI, vol. 12(7), pages 1-17, March.
  26. Caruso, N. & Guerisoli, M. & Luengos Vidal, E.M. & Castillo, D. & Casanave, E.B. & Lucherini, M., 2015. "Modelling the ecological niche of an endangered population of Puma concolor: First application of the GNESFA method to an elusive carnivore," Ecological Modelling, Elsevier, vol. 297(C), pages 11-19.
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