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Guillermo Fandos @gfandos.bsky.social · 28d

Muy interesante reflexión 👏. Evaluar ciencia no puede reducirse a un único indicador ni al factor de impacto. Difícil cambiar el sistema, pero el primer paso es asumir que la evaluación es compleja y no cabe en una sola métrica.

Jesús PérezGil (birloque) @birloque.bsky.social · Sep 11

A very qué os parece esta reflexión sobre la forma en que evaluamos y sus consecuencias. Sean los exámenes de nuestros estudiantes o los CV de los concursos de acceso, acreditaciones, etc… ¡La tiranía de Heisenberg!

theconversation.com/la-ley-de-he...

La ley de Heisenberg en la evaluación de los exámenes y la carrera académica

El principio de incertidumbre de Heisenberg afecta a la evaluación de los exámenes y a la carrera académica.

theconversation.com

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Reposted by Guillermo Fandos

Jakub Hrouda @kuba-hrouda.bsky.social · Aug 20

Happy to be at #EOU2025! 🐦🏙️
If you want to know, how does urbanization impact migratory bird seasonal distribution (and you didn't manage to come to my poster yesterday), don't hesitate to find me and ask!
@eounion.bsky.social

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Guillermo Fandos @gfandos.bsky.social · Jun 1

Que buena pinta. Ya nos veremos por
allí

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Reposted by Guillermo Fandos

Carlos M Herrera @cmhmaliani.bsky.social · May 31

Traveling tomorrow to Pontevedra to attend the SIBECOL-AEET meeting @sibecol-aeet-25.bsky.social
My keynote talk will be Monday evening (19:40 h). I'll present an updated overview of that elusive conundrum which links subindividual plant ecology with a set of independent epigenetic causal layers

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Reposted by Guillermo Fandos

Megan Szojka @megan-szojka.bsky.social · Apr 25

Our latest research in California's serpentine grasslands reveals that biodiversity patterns are shaped more by dispersal than environmental conditions alone esajournals.onlinelibrary.wiley.com/doi/epdf/10....

Species occupancy is inflated by sink populations in productive environments but not unproductive environments

You have to enable JavaScript in your browser's settings in order to use the eReader.

esajournals.onlinelibrary.wiley.com

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Reposted by Guillermo Fandos

Asunción Semper-Pascual @semperpascual.bsky.social · Feb 13

NEW PAPER! Do you want to know how ocelots and agoutis interact in space AND time in #TropicalRainforests?🌳
Check our last paper led by Andrea Vallejo-Vargas and published @animalecology.bsky.social
besjournals.onlinelibrary.wiley.com/doi/epdf/10....

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Reposted by Guillermo Fandos

Ana Benítez @anabenlop.bsky.social · Mar 7

New PhD position @mncn-csic.bsky.social to work on biodiversity risk assessments, together with @miguelbaraujo.bsky.social and myself. More details here:
www.anabenitezlopez.com/job-offer-ph...

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Guillermo Fandos @gfandos.bsky.social · Mar 28

🎓 Becas disponibles
✅ Título de la Universidad Complutense de Madrid
✅ 100% presencial
💡 Aprende a:
✔ Aplicar programación y diferentes métodos estadísticos
✔ Analizar datos genéticos y genómicos
✔ Modelizar distribución y abundancia de especies

#Rstats #Formación #Bioinformática #stats #analytics

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Guillermo Fandos @gfandos.bsky.social · Mar 28

📢 Título de experto en Aplicaciones bioinformáticas en biodiversidad, ecología y evolución
📅 26 mayo - 4 julio | ⏰ 15:00 - 20:00
📍 Facultad de Biología, Universidad Complutense de Madrid
💰 300€
🎯 Metodología 100% práctica con proyectos y tutorización experta
📌 Inscríbete ya! ucm.es/formacion-pe...

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Reposted by Guillermo Fandos

Juan G. Rubalcaba @jgrubalcaba.bsky.social · Mar 24

Next week (!!) we are presenting our workshop "integrating mechanisms into species distribution models" - don't miss it! Online 2-4 April www.biogeography.org/news/news/wo... @gfandos.bsky.social @biogeography.bsky.social

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Reposted by Guillermo Fandos

R-Ladies Bot @rladies-bot.bsky.social · Mar 22

📝 "Useful R Packages & Resources"

👤 Steffi LaZerte

📖 Essential R packages & resources for data science, visualization, & workflows. Check it out!

🔗 https://steffilazerte.ca/posts/useful-packages/

#rladies#rstats#packages#resources#r

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Reposted by Guillermo Fandos

Science Friday @scifri.bsky.social · Mar 7

A new study found that U.S. butterfly populations dropped by 22% in just 20 years. Dr. Elise Zipkin and Dr. @nickhaddad.bsky.social join us to discuss what’s causing the decline and whether we can do anything about it.

Where Have All The Butterflies Gone?

A new study of butterfly populations in the US shows a 22% decline among over 500 species in just 20 years.

buff.ly

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Reposted by Guillermo Fandos

Science Magazine @science.org · Mar 6

An analysis of forest plant traits from across the tropical Americas suggests that forests are not changing fast enough to keep up with #ClimateChange.

Learn more in this week's issue of Science: scim.ag/3QLYhyc

In Mesoamerican cloud forests, such as this one in the El Triunfo Biosphere Reserve in Mexico, climate change and deforestation are leading to plant species moving upslope. However, an analysis of forest plant traits from across the tropical Americas suggests that forests are not changing fast enough to keep up with climate change.

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Reposted by Guillermo Fandos

Eneko Arrondo @bioeaf.bsky.social · Mar 2

In collaboration with my friend
@juanma-pg.bsky.social
we have just published this article about some worrying trends we have observed in the marking of animals with GPS .... 1/n link.springer.com/article/10.1...

Call for a critical review of widespread use of animal tracking devices - European Journal of Wildlife Research

Animal tracking has undergone a technological revolution, providing insight into biological details that were previously impossible to address. However, the increasing ease of access to tracking devic...

link.springer.com

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Guillermo Fandos @gfandos.bsky.social · Feb 21

Enhorabuena!!

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Asociación Española de Ecología Terrestre - AEET @eco-aeet.bsky.social · Feb 18

El grupo de Ecoinformática de la AEET @ecoinf-aeet.bsky.social estrena página web:

ecoinfaeet.github.io

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Reposted by Guillermo Fandos

Methods in Ecology and Evolution @methodsinecoevol.bsky.social · Feb 19

📖Published📖

Denelle et al. present bioregion, a package that includes all the steps of a bioregionalization workflow under a single architecture 🌎 🧪 Read more here 👇

https://buff.ly/3CHqC5p

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Reposted by Guillermo Fandos

Ian McFadden @ian-mcfadden.bsky.social · Dec 17

📣 Jobs alert- please share!

4(!) PhD positions on topics including species interactions, AI, global mapping and tropical ecology 🫐🌿🌸🍄🌏

PhD 1: bit.ly/TREES-Mappin... (w/ UCL East)
PhD 2: bit.ly/TREES-CV-4-I... (w/ UCL East)
PhD 3: bit.ly/TREES-Megadi... (w/ Kew Gardens)
PhD 4: bit.ly/4i35cj5 (CSC)

List of PhD projects currently being (co)advertised in the McFadden Lab, with an image of the earth surrounded by emoji of animals and plants, as well as the UKRI NERC and China Scholarship Council logos.

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Reposted by Guillermo Fandos

Francisco Rodriguez-Sanchez @frodsan.bsky.social · Feb 19

1/ New paper @pnas.org on the structure of mutualistic #networks between individuals plants and frugivore species.

Last chapter of @elequintero.bsky.social's PhD thesis

doi.org/10.1073/pnas... #ecopubs

Downscaling mutualistic networks from species to individuals reveals consistent interaction niches and roles within plant populations

Species-level networks emerge as the combination of interactions spanning multiple individuals, and their study has received considerable attention over the past 30 y. However, less is known about the structure of interaction configurations within species, even though individuals are the actual interacting units in nature. We compiled 46 empirical, individual-based, interaction networks on plant-animal seed dispersal mutualisms, comprising 1,037 plant individuals across 29 species from various regions. We compared the structure of individual-based networks to that of species-based networks and, by extending the niche concept to interaction assemblages, we explored individual plant specialization. Using a Bayesian framework to account for uncertainty derived from sampling, we examined how plant individuals “explore” the interaction niche of their populations. Both individual-based and species-based networks exhibited high variability in network properties, lacking remarkable structural and topological differences between them. Within populations, frugivores’ interaction allocation among plant individuals was highly heterogeneous, with one to three frugivore species dominating interactions. Regardless of species or bioregion, plant individuals displayed a variety of interaction profiles across populations, with a consistently-small percentage of individuals playing a central role and exhibiting high diversity in their interaction assemblage. Plant populations showed variable mid to low levels of niche specialization; and individuals’ interaction niche “breadth” accounted for 70% of the population interaction diversity, on average. Our results highlight how downscaling from species to individual-based networks helps understanding the structuring of interactions within ecological communities.

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Guillermo Fandos @gfandos.bsky.social · Feb 18

Exciting opportunity ahead! Join our workshop from April 2nd to 4th and discover how to calibrate both mechanistic and hybrid species distribution models. Don't miss out—register now!
@biogeography.bsky.social
@jgrubalcaba.bsky.social

Juan G. Rubalcaba @jgrubalcaba.bsky.social · Feb 18

Interested in mechanistic & hybrid species distribution models? Don't miss our workshop! Online - 2-4 April @gfandos.bsky.social
REGISTER: www.biogeography.org/news/news/wo...

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Reposted by Guillermo Fandos

Graham Appleton @wadertales.bsky.social · Feb 13

Concerned about the conservation of migrant birds?
Blog from last month may be of interest.
wadertales.wordpress.com/2025/01/09/h...
@amigodeaves.bsky.social paper explains how to bring ringing, colour-ring and tracking data together, to identify key migration sites.
#ConservationScience🌏

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Reposted by Guillermo Fandos

econmaett @econmaett.github.io · Feb 13

Sorry for the delay. Here’s the link to the GitHub repo! #rstats

github.com/GMU-CherryBl...

GitHub - GMU-CherryBlossomCompetition/peak-bloom-prediction: Template repository for the GMU cherry blossom peak bloom prediction competition.

Template repository for the GMU cherry blossom peak bloom prediction competition. - GMU-CherryBlossomCompetition/peak-bloom-prediction

github.com

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Reposted by Guillermo Fandos

Richard McElreath 🐈‍⬛ @rmcelreath.bsky.social · Feb 10

The cherry blossom prediction competition is on again this year. Submissions due by end of February. I am very much too busy to participate unfortunately. But a good distraction from *gestures all around* for the rest of you perhaps. competition.statistics.gmu.edu/competition-...

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