https://journals.ku.edu:443/jbi/issue/feed 2019-12-09T21:47:46-06:00 A. Townsend Peterson town@ku.edu Open Journal Systems <p>This electronic journal focuses on the emerging field of biodiversity informatics: the creation, integration, analysis, and understanding of information regarding biological diversity.</p> https://journals.ku.edu:443/jbi/article/view/9786 2019-12-09T21:47:38-06:00 Hannah Lois Owens hannah.owens@gmail.com Robert Guralnick robgur@gmail.com

<p>As continental and global-scale paleoclimate model data become more readily available, biologists can now ask spatially explicit questions about the tempo and mode of past climate change and the impact of those changes on biodiversity patterns. In particular, researchers have focused on climate stability as a key variable that can drive expected patterns of richness, phylogenetic diversity and functional diversity. Yet, climate stability measures are not formalized in the literature and tools for generating stability metrics from existing data are nascent. Here we define “deviation” of a climate variable as the mean standard deviation between time slices over time elapsed; “stability” is defined as the inverse of this deviation. Finally, climate stability is the product of individual climate variable stability estimates. We also present an R package, <em>climateStability</em>, which contains tools for researchers to generate climate stability estimates from their own data.</p>

2019-06-03T00:00:00-05:00 ##submission.copyrightStatement## https://journals.ku.edu:443/jbi/article/view/8189 2019-12-09T21:47:46-06:00 A. Townsend Peterson town@ku.edu Robert P Anderson randerson@ccny.cuny.edu Marlon E Cobos marloncobos@ku.edu Martín Cuahutle mcuahutle@conabio.gob.mx Angela P Cuervo-Robayo ancuervo@gmail.com Luis E Escobar escobar1@vt.edu Marc Fernández marc.fern@gmail.com Daniel Jiménez-García daniel.jimenez@correo.buap.mx Andrés Lira-Noriega andres.lira@inecol.mx Jorge M Lobo mcnj117@mncn.csic.es Fernando Machado-Stredel f.machado.stredel@gmail.com Enrique Martínez-Meyer emm@ib.unam.mx Claudia Nuñez-Penichet claununez199o@gmail.com Javier Nori javiernori@gmail.com Luis Osorio-Olvera luismurao@gmail.com María Teresa Rodríguez mrodrig@conabio.gob.mx Octavio Rojas-Soto octavio.rojas@inecol.mx Daniel Romero-Álvarez daromero88@gmail.com Jorge Soberón jsoberon@ku.edu Sara Varela sara_varela@yahoo.com Carlos Yañez-Arenas lichoso@gmail.com

<p>The suite of ideas, protocols, and software tools that has come to be known as “Ecological Niche Modeling” (ENM) — as well as those for the related “Species Distribution Modeling” (SDM)—has seen intensive exploration and research attention in recent decades. In spite of at least four syntheses, the field has grown so much in complexity that it is rather difficult to access for newcomers. Until now, accessibility to this field was achieved by in-person courses organized by universities or research centers, in some of which we have participated as instructors. However, the access to these specialized courses is limited, on one hand because they are not offered in all universities, and on the other because normally they are taught in English. To expand the access to a wider community of Spanish-speaking researchers, here we offer an entirely digital and free-of-charge course in Spanish, which was presented over 23 weeks via Internet in 2018. Although intrinsic Internet-related barriers may limit access to course materials, we have made them available in diverse formats (video, audio, pdf) in order to eliminate most of these problems.</p>

2019-05-02T00:00:00-05:00 ##submission.copyrightStatement##