Combining Remote Sensing and Species Distribution Modelling to Assess Pinus hartwegii Response to Climate Change and Land Use from Izta-Popo National Park, Mexico

Autor: Ignacio García-Amorena, Elena Moreno-Amat, María Encina Aulló-Maestro, María Cruz Mateo-Sánchez, Silvia Merino-De-Miguel, Jaime Ribalaygua, Robert Marchant

Publikováno v: Land, Vol 10, Iss 10, p 1037 (2021)

A detailed analysis of distribution shifts in Pinus hartwegii Lindl. is provided across time for Izta-Popo National Park (México). Combining satellite images, species distribution models, and connectivity analysis we disentangled the effect of clima

Externí odkaz: https://doaj.org/article/ea003f6408404d3eba7a6ff1412100ef

Reducción de la incertidumbre de los modelos de distribución de especies con datos ecológicos y paleoecológicos

Autor: Elena Moreno Amat

Publikováno v: Ecosistemas. 26:106-109

A pesar del amplio uso de los Modelos de Distribucion de Especies (MDE: algoritmos que establecen relaciones estadisticas entre las presencias de una especie y las variables ambientales) en el estudio de la distribucion actual de los taxones y el imp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ff8b557572e9d48902725b58a15e106d
https://doi.org/10.7818/ecos.2017.26-3.13

Outstanding Challenges in the Transferability of Ecological Models

Autor: Seth J. Wenger, Heroen Verbruggen, A. Townsend Peterson, Sophie Mormede, Periyadan K. Krishnakumar, Paul V. R. Snelgrove, Lifei Wang, Susan F. Gould, Phil J. Bouchet, Alan H. Fielding, Camille Mellin, Stephen Ban, Jane Elith, Rebecca Fisher, Guillermo Ortuño Crespo, Ana M. M. Sequeira, Christophe F. Randin, Gary N. Ervin, Katherine L. Yates, Risto K. Heikkinen, Steffen Oppel, Alice R. Jones, Giovanni Rapacciuolo, A. Márcia Barbosa, Mohsen B. Mesgaran, Emilie Novaczek, Andrew J. Bamford, Roland Felix Graf, Mark J. Whittingham, Yuri Zharikov, Leigh G. Torres, Rebecca E. Ross, Kerrie Mengersen, Kylie L. Scales, Hector Lozano-Montes, M. Julian Caley, Laura Mannocci, Valentina Lauria, Jason J. Roberts, Clare B. Embling, Damaris Zurell, Edward J. Gregr, Stephen Parnell, Stefan Heinänen, Carsten F. Dormann, Göran Sundblad, Wilfried Thuiller, David S. Schoeman, Patrick N. Halpin, Elena Moreno-Amat

Publikováno v: Trends in ecology & evolution, vol 33, iss 10
Trends in Ecology and Evolution
Trends in Ecology and Evolution, Elsevier, 2018, 33 (10), pp.790-802. ⟨10.1016/j.tree.2018.08.001⟩
Yates, KL; Bouchet, PJ; Caley, MJ; Mengersen, K; Randin, CF; Parnell, S; et al.(2018). Outstanding Challenges in the Transferability of Ecological Models. Trends in Ecology and Evolution, 33(10), 790-802. doi: 10.1016/j.tree.2018.08.001. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/4r97d4np
Trends in Ecology and Evolution, 2018, 33 (10), pp.790-802. ⟨10.1016/j.tree.2018.08.001⟩
Trends In Ecology & Evolution (0169-5347) (Elsevier Science London), 2018-10, Vol. 33, N. 10, P. 790-802

International audience; Predictive models are central to many scientific disciplines and vital for informing management in a rapidly changing world. However, limited understanding of the accuracy and precision of models transferred to novel condition

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20176992203b047b6bb05f9de5ce967c
https://escholarship.org/uc/item/4r97d4np

Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data

Autor: Diego Nieto-Lugilde, Rubén G. Mateo, Jens-Christian Svenning, Ignacio García-Amorena, Naia Morueta-Holme, Elena Moreno-Amat

Publikováno v: Moreno-Amat, E, Mateo, R G, Nieto-Lugilde, D, Holme, N M, Svenning, J-C & García-Amorena, I 2015, ' Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data ', Ecological Modelling, vol. 312, pp. 308-317 . https://doi.org/10.1016/j.ecolmodel.2015.05.035

Maximum entropy modeling (Maxent) is a widely used algorithm for predicting species distributions across space and time. Properly assessing the uncertainty in such predictions is non-trivial and requires validation with independent datasets. Notably,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18d54450e255f12fe354d34a8e13453b
https://pure.au.dk/portal/da/publications/impact-of-model-complexity-on-crosstemporal-transferability-in-maxent-species-distribution-models-an-assessment-using-paleobotanical-data(ad6fe668-3a3f-454e-a370-d87e64416b9e).html