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Species-specific tuning increases robustness to sampling bias in models of species distributions: An implementation with Maxent

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Cited by:

  1. Pimenta, Mayra & Andrade, André Felipe Alves de & Fernandes, Fernando Hiago Souza & Amboni, Mayra Pereira de Melo & Almeida, Renata Silva & Soares, Ana Hermínia Simões de Bello & Falcon, Guth Berger &, 2022. "One size does not fit all: Priority areas for real world problems," Ecological Modelling, Elsevier, vol. 470(C).
  2. Schmidt, Heiko & Radinger, Johannes & Teschlade, Daniel & Stoll, Stefan, 2020. "The role of spatial units in modelling freshwater fish distributions: Comparing a subcatchment and river network approach using MaxEnt," Ecological Modelling, Elsevier, vol. 418(C).
  3. Wiltshire, Kathryn H & Tanner, Jason E, 2020. "Comparing maximum entropy modelling methods to inform aquaculture site selection for novel seaweed species," Ecological Modelling, Elsevier, vol. 429(C).
  4. 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.
  5. 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.
  6. 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.
  7. 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).
  8. 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.
  9. Peng Su & Anyu Zhang & Ran Wang & Jing’ai Wang & Yuan Gao & Fenggui Liu, 2021. "Prediction of Future Natural Suitable Areas for Rice under Representative Concentration Pathways (RCPs)," Sustainability, MDPI, vol. 13(3), pages 1-19, February.
  10. Le Li & Minxia Liu & Lanxiang Ji & Fei Wang, 2024. "Regional Analysis of the Potential Distribution of Heptacodium miconioides and Its Competitor Species in China," Sustainability, MDPI, vol. 16(2), pages 1-16, January.
  11. Wolke Tobón-Niedfeldt & Alicia Mastretta-Yanes & Tania Urquiza-Haas & Bárbara Goettsch & Angela P. Cuervo-Robayo & Esmeralda Urquiza-Haas & M. Andrea Orjuela-R & Francisca Acevedo Gasman & Oswaldo Oli, 2022. "Incorporating evolutionary and threat processes into crop wild relatives conservation," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
  12. Schartel, Tyler E. & Cao, Yong, 2024. "Background selection complexity influences Maxent predictive performance in freshwater systems," Ecological Modelling, Elsevier, vol. 488(C).
  13. Ortner, Olivia & Wallentin, Gudrun, 2020. "Integration of landscape metric surfaces derived from vector data improves species distribution models," Ecological Modelling, Elsevier, vol. 431(C).
  14. Maria, Bobrowski & Udo, Schickhoff, 2017. "Why input matters: Selection of climate data sets for modelling the potential distribution of a treeline species in the Himalayan region," Ecological Modelling, Elsevier, vol. 359(C), pages 92-102.
  15. Xumin Li & Zhiwen Yao & Qing Yuan & Rui Xing & Yuqin Guo & Dejun Zhang & Israr Ahmad & Wenhui Liu & Hairui Liu, 2023. "Prediction of Potential Distribution Area of Two Parapatric Species in Triosteum under Climate Change," Sustainability, MDPI, vol. 15(6), pages 1-23, March.
  16. Muhammad Waheed & Shiekh Marifatul Haq & Fahim Arshad & Muhammad Azhar Jameel & Manzer H. Siddiqui & Rainer W. Bussmann & Nabeel Manshoor & Saud Alamri, 2023. "Where Will Threatened Aegle marmelos L., a Tree of the Semi-Arid Region, Go under Climate Change? Implications for the Reintroduction of the Species," Land, MDPI, vol. 12(7), pages 1-19, July.
  17. Fois, Mauro & Cuena-Lombraña, Alba & Fenu, Giuseppe & Bacchetta, Gianluigi, 2018. "Using species distribution models at local scale to guide the search of poorly known species: Review, methodological issues and future directions," Ecological Modelling, Elsevier, vol. 385(C), pages 124-132.
  18. Cao, Yong & DeWalt, R. Edward & Robinson, Jason L. & Tweddale, Tari & Hinz, Leon & Pessino, Massimo, 2013. "Using Maxent to model the historic distributions of stonefly species in Illinois streams: The effects of regularization and threshold selections," Ecological Modelling, Elsevier, vol. 259(C), pages 30-39.
  19. Maria Elena Castiello & Emmanuele Russo & Héctor Martínez-Grau & Ana Jesus & Georgina Prats & Ferran Antolín, 2025. "Understanding the spread of agriculture in the Western Mediterranean (6th-3rd millennia BC) with Machine Learning tools," Nature Communications, Nature, vol. 16(1), pages 1-18, December.
  20. Duque-Lazo, J. & van Gils, H. & Groen, T.A. & Navarro-Cerrillo, R.M., 2016. "Transferability of species distribution models: The case of Phytophthora cinnamomi in Southwest Spain and Southwest Australia," Ecological Modelling, Elsevier, vol. 320(C), pages 62-70.
  21. Halvorsen, Rune & Mazzoni, Sabrina & Dirksen, John Wirkola & Næsset, Erik & Gobakken, Terje & Ohlson, Mikael, 2016. "How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt?," Ecological Modelling, Elsevier, vol. 328(C), pages 108-118.
  22. Martín-García, Laura & González-Lorenzo, Gustavo & Brito-Izquierdo, Isabel T. & Barquín-Diez, Jacinto, 2013. "Use of topographic predictors for macrobenthic community mapping in the Marine Reserve of La Palma (Canary Islands, Spain)," Ecological Modelling, Elsevier, vol. 263(C), pages 19-31.
  23. Abel Chemura & Dumisani Kutywayo & Danisile Hikwa & Christoph Gornott, 2022. "Climate change and cocoyam (Colocasia esculenta (L.) Schott) production: assessing impacts and potential adaptation strategies in Zimbabwe," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 27(6), pages 1-20, August.
  24. Santiago José Elías Velazco & Franklin Galvão & Fabricio Villalobos & Paulo De Marco Júnior, 2017. "Using worldwide edaphic data to model plant species niches: An assessment at a continental extent," PLOS ONE, Public Library of Science, vol. 12(10), pages 1-24, October.
  25. Hallgren, W. & Santana, F. & Low-Choy, S. & Zhao, Y. & Mackey, B., 2019. "Species distribution models can be highly sensitive to algorithm configuration," Ecological Modelling, Elsevier, vol. 408(C), pages 1-1.
  26. Shcheglovitova, Mariya & Anderson, Robert P., 2013. "Estimating optimal complexity for ecological niche models: A jackknife approach for species with small sample sizes," Ecological Modelling, Elsevier, vol. 269(C), pages 9-17.
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