JBLanuza
@joseblanuza.bsky.social
Ecologist, interested in plants and pollinators
👉 Dos décadas de estudio revelan la frágil situación del piruétano (Pyrus bourgaeana) en Doñana y que lo sitúa al borde de su extinción local. Las principal causa es la herbivoría, agravada por la sobreexplotación del acuífero y las largas sequías. 🔗 www.ebd.csic.es/divulgacion/...
Our new paper is out! We explore differences in #individual plant-pollinator #networks to understand how population processes influence the assembly of species #interactions. Check it out! besjournals.onlinelibrary.wiley.com/doi/10.1111/...
Structural differences in individual pollinator networks across bee species reveal the importance of population‐level processes in the assembly of species interactions
By downscaling pollen-transport networks from species to individuals, we found that pollinators interacted with fewer plant species than expected under random sampling, indicating high individual spe...
besjournals.onlinelibrary.wiley.com
Our evolutionary tree for all world bumblebees paper on the cover of Insects! One conclusion: males with enlarged eyes and short antennae are evolutionarily convergent which may be associated with truly territorial mate-searching behaviour (competing for perches) www.researchgate.net/publication/...
The new generation of adults knows fewer plant species than the old people do. Lindemann-Matthies et al. @peopleandnature.bsky.social besjournals.onlinelibrary.wiley.com/doi/10.1002/... 🧪🌍🌳🪴🌱
The complex interactive effects of global change stressors and cascading species interactions require integrative approaches that study and conserve ecosystems beyond individual species. This was a beautiful collaborative experience with colleagues from EBD
Maria Paniw@paniw.bsky.social · 2mo ago🧪 Mediterranean ecosystems are changing fast & in dynamic, interconnected ways, but we rarely look at the interconnections. Doñana National Park is a great example of how multiple global-change drivers ripple through ecosystems via species interactions, trophic cascades, and habitat change. 🌍🧩
Turns out, a lot of the plants we use for bee habit enhancement are already common and mostly support those darn common generalists! Thanks @joseblanuza.bsky.social for the help getting this across the line besjournals.onlinelibrary.wiley.com/doi/10.1111/...
Flowers for habitat enhancement primarily benefit common insect pollinators across temperate grasslands
Flowers that are attractive and occupy a complementary position in interaction space could be prioritized in flower mixes to recover rare and specialized pollinators. By defining the ecological roles...
besjournals.onlinelibrary.wiley.com
Excited to share our fresh-off-the-press Annual Review on the role of temperature in metabolic scaling! We review the state of the field on this topic and unpack confusion about the various ways the term "scaling" is used in metabolic theories. www.annualreviews.org/content/jour...
Scaling Temperature Effects on Metabolism from Individuals to Ecosystems
The effects of temperature on metabolic rates are a core component of ecological change, with surprisingly regular effects across diverse ecological systems. Metabolic scaling theories can provide qua...
annualreviews.org
‼️🚨My first PhD paper out in @methodsinecoevol.bsky.social We built an automated camera system to detect plant–pollinator interactions (day & night) and compared networks from cameras vs. focal observations. 📜👉 doi.org/10.1111/2041... @annatraveset.bsky.social @imedea.bsky.social
Excited to share a new paper led by our colleagues at #DLR! We trained AI to recognize 15 European fly pollinator families and estimate how confident it is, helping ecologists use AI more responsibly. Paper: lnkd.in/dBAWW3hB Code: lnkd.in/du7dD2hc #pollinators #aiforgood #aifornature #UFZ #iDiv
The first plant-pollinator interaction network at the European level, depicting pollinator relationships with plants across the continent!🐝 Learn how interactions are organised & what implications they have for #PollinatorConservation: lnkd.in/dErniJ8B #SafeguardSummaries @ibartomeus.bsky.social
A new @natcomms.nature.com study led by iDiv alumna @adrianaalzate.bsky.social @naturalis.bsky.social uncovered that across >26,000 species evolutionary age is positively linked to range size, except in marine mammals. #Biodiversity #Evolution #iDivResearch www.idiv.de/older-specie...
Older species tend to have large ranges – unless they live on islands
New Nature Communication publications sheds light on how ecological, evolutionary, and geographical processes can simultaneously shape species’ vulnerability to extinction.
idiv.de
⚡ New version of #rgbif has just been released to CRAN! Version 3.8.2 new features: 🔹occ_download_doi() accepts a GBIF download DOI and returns the download key. occ_download() now supports download via institutionKey. Learn more: 🔗docs.ropensci.org/rg...
🚨Species Distribution Modeling with BART Methods 📅 22–24 Sept 📍 Online | 🧠 Instructors: @jbyoder.org & @colincarlson.bsky.social Learn to build powerful SDMs using #BART methods in R, using the embarcadero and dbarts packages. www.physalia-courses.org/courses-work...
SPECIES DISTRIBUTION MODELING WITH BAYESIAN ADDITIVE REGRESSION TREE (BART) METHODS
Dates 22-24 September 2025
physalia-courses.org
"On many occasions when I have used ggpairs() I’ve found myself diving into the source code to try to work out precisely what kind of plot object it produces..." -- EXACTLY my gripe. [Another great Data Witch post!]
Our new paper is out to day in Nature Ecology and Evolution! It is called: Thresholds of functional trait diversity driven by land use intensification ⬇️ www.nature.com/articles/s41... #FunctionalTraits 🌐 ➕📏 @inrae-france.bsky.social @urep.bsky.social @cnrsecologie.bsky.social @bexplo.bsky.social
Thresholds of functional trait diversity driven by land use intensification - Nature Ecology & Evolution
Land use intensification is a major driver of biodiversity change and ecosystem functioning. Here the authors identify thresholds of grassland plant community structure and stability in response to la...
nature.com
Regional databases demonstrate macroecological patterns less clearly than systematically collected field data vist.ly/3m2e5uw #Bivalves #GBIF #Biodiversity #Databases
Las moscas florícolas (Syrphidae) son insectos altamente beneficiosos: mientras que los adultos polinizan, sus larvas contribuyen al reciclaje de la materia orgánica 🍂 o al control de plagas agrícolas. Os dejo aquí una lámina genial con las especies del género Eristalis de la península ibérica 😉👇
mtcars |> skimr::skim() |> skimr::focus(n_missing, numeric.mean, numeric.p0, numeric.p100, numeric.hist) |> knitr::kable(digits = 2)
So emotional seeing my first-ever teaching evaluations! 😭 Creating all the materials from scratch was tough, but incredibly rewarding. I put a lot of thought into what students need in the AI era—sharing the complete class materials here in case they're helpful: clsong.github.io/EEB_C234/01_...
🐜🥼#PostDoc Alert! PhD in #natural #sciences, experience with #arthropod #fieldwork and #lab as well as a good #publication record?📚Knowledge of #ecological processes, #insect #taxonomy & R? Our #Forest #Entomology group is offering a two-year PostDoc position. apply.refline.ch/273855/1720/...
The {grafify} #RStats 📦 aims to make it easier for R users to: * "plot great-looking graphs with few lines of code while exploring data" * "apply colour blind-friendly palettes to graphs plotted with grafify or ggplot2" & more. By @avishenoy.bsky.social grafify.shenoylab.com #DataViz
Despite experiencing high summer temperatures, the interior of the capitula of 15 species of Mediterranean thistles blooming during the hottest time of year was substantially cooler than the air most of the time. esajournals.onlinelibrary.wiley.com/doi/full/10.... [Paywalled, DM me for pdf file ]
Writing manuscripts in #Quarto or #Rmarkdown? Here's how to easily generate an appendix citing the #rstats packages used with {grateful} pakillo.github.io/grateful/ 1/
Turned the old blog post of LLM-based tools for #rstats into a Quarto guide. Includes even more packages now plus a roundup of relevant courses and tutorials luisdva.github.io/llmsr-book/
New article introduces the EuPPollNet database—a fully open European-level database harmonizing plant-pollinator interactions across space & time 🐝🌼 Congrats to the author team led by @joseblanuza.bsky.social & including our very own @libranembid-f.bsky.social. Check it out! doi.org/10.1111/geb....
EuPPollNet: A European Database of Plant‐Pollinator Networks
Motivation Pollinators play a crucial role in maintaining Earth's terrestrial biodiversity. However, rapid human-induced environmental changes are compromising the long-term persistence of plant-pol...
doi.org
2025 starts with a methodology publication by Ștefan et al. on Utilising affordable smartphones and open-source time-lapse photography for pollinator image collection and annotation - Happy new year! doi.org/10.26786/192...
🌿🐝 New paper! Sílvia Castro, Sara Lopes, @catarinasiopa.bsky.social, @jloureiro13.bsky.social & Hugo Gaspar coauthored a study on EuPPollNet, Europe’s largest plant-pollinator network database! 🌍💡 Thanks @joseblanuza.bsky.social and @ibartomeus.bsky.social for the great coordination! 📖 Read it 👇
EuPPollNet: A European Database of Plant‐Pollinator Networks
Motivation Pollinators play a crucial role in maintaining Earth's terrestrial biodiversity. However, rapid human-induced environmental changes are compromising the long-term persistence of plant-pol...
doi.org
![df = data.frame(x = -1:10, y = c(-3,2,1,2,5,3,6,7,3,6,10,11))
smooth_spline_x = \(formula, data) {
X = model.matrix(formula[-2], data)
# this is dumb but good enough for a hack
X %*% rep(1, ncol(X))
}
smooth_spline = \(formula, data, ..., weights = NULL) {
x = smooth_spline_x(formula, data)
y = eval(formula[[2]], data, environment(formula))
structure(
splinefun(x, y, ...),
class = c("smooth_spline", "function"),
formula = formula
)
}
predict.smooth_spline = \(object, newdata, ..., weights = NULL, se.fit = FALSE) {
fit = object(smooth_spline_x(attr(object, "formula"), newdata))
if (se.fit) {
list(fit = data.frame(fit = fit, lwr = 0, upr = 0), se.fit = NA_real_)
} else {
fit
}
}
df |>
ggplot(aes(x, y)) +
stat_smooth(formula = y ~ x, method = smooth_spline) +
geom_point()](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:6fs5x6cofzyz4si2xhqiqj37/bafkreiacuzr4k36gdw3hfpomiayv5a6f3tegppea5czle5yxqaap5aqelm)
