Mónica Gómez-Vadillo

Mónica Gómez-Vadillo

@biomolic.bsky.social

Environmental Data Scientist | PhD Researcher in Ecology & Data Science | R, Python & Geospatial Modeling https://www.linkedin.com/in/monicagomezvadillo/

57 Followers 96 Following 7 Posts Joined Feb 2025
3 months ago
Post image

¡Los sábados no descansamos de mapas! El tema de hoy en el #30DayMapChallenge es "natural earth" 🌍. Nuestra compañera @cristinaronquillo.bsky.social ha generado este mapa de Australia con información geoespacial de un repositorio muy interesante que os invitamos a ver www.naturalearthdata.com

8 3 1 0
3 months ago
Post image

El reto del día de hoy para nuestro #30DayMapChallenge viene cargadito de #hexágonos gracias al mapa que ha preparado @cristinaronquillo.bsky.social
En él podéis ver la riqueza de musgos de la península Ibérica usando registros de presencia disponibles en #GBIF 🤓🗺️ #iberBryo #HEX #mapas

9 5 0 0
3 months ago
Post image

Para celebrar el Día Mundial del Transporte Sostenible, en el #30DayMapChallenge de hoy @iramosgutierrez.bsky.social ha recopilado y mapeado todos los trayectos en bici que realizó durante el año que estuvo viviendo en Sevilla! 🚲

12 2 1 0
3 months ago
Post image

Today I mapped the river network of Spain using the HydroRIVERS dataset (WWF).

Neon map of Spain’s river network, coloured by Strahler order.
The Iberian drainage system glowing against a dark background

#30DayMapChallenge #Water #Hydrology #Cartography #Spain #GIS #RStats

3 0 0 0
3 months ago
Post image

Para el tema de hoy en el #30DayMapChallenge (Agua💦) @biomolic.bsky.social nos ha traído este mapa de ríos de la España peninsular, hecho con RMarkdown, usando datos de HydroRIVERS (WWF) 😍

💻⤵️
github.com/ecoinfAEET/2...

11 2 0 0
3 months ago
Video thumbnail

Hoy vuelve a haber mapa del #30DayMapChallenge!🗺️

Como tema, había que hacer un mapa utilizando una herramienta nueva, y para ello nuestro compañero Alberto Cirera ha hecho este mapa estelar animado 🌃 sobre Artieda (Zaragoza) utilizando Python!

Código en el repo⬇️!!
github.com/ecoinfAEET/2...

9 3 0 0
3 months ago
Post image

Seguimos con el #30DayMapChallenge, y hoy toca hablar de incendios...

@soniaillanas.bsky.social ha hecho este mapa de número de incendios y superficie quemada por municipio en la última década en España!

En el código puedes ver cómo replicarlo y de dónde obtener datos⬇️👀!
github.com/ecoinfAEET/2...

16 9 0 0
4 months ago
Post image

El tema del día de hoy en el #30DayMapChallenge es "Urban", y para ello @elequintero.bsky.social ha generado este mapa global de producción de desperdicios por persona!

Datos y código aquí! 💻⬇️
github.com/ecoinfAEET/2...

7 2 0 0
4 months ago
Post image

Seguimos con el #30DayMapChallenge y hoy toca temática minimalista!

@juliagdealedo.bsky.social nos trae este mapa del mundo con las fronteras simplificadas, hecho en R y editado en Figma

Si quieres aprender a hacerlo, tienes el código aquí!! ⬇️
github.com/ecoinfAEET/2...

9 3 0 0
4 months ago
Video thumbnail

🌎 #OSMGeoWeek is just around the corner!

Join the global OSM community for a week of online mapathons, in-person editing parties, and other events from Nov 17 - 22nd. You can add your event to the worldwide GeoWeek calendar on the OpenStreetMap US website.

🔗 openstreetmap.us/events/osmge...

5 4 0 0
4 months ago
Post image

Seguimos con el #30DayMapChallenge 2025!
Aunque llegamos un par de días tarde, en el reto del día 3 tenemos este mapa de temperaturas que ha hecho @biomolic.bsky.social usando Python!!

Tenéis el código disponible en el GitHub por si queréis echarle un ojo!!
github.com/ecoinfAEET/2...

7 2 0 0
4 months ago
Post image

Y para el reto del día de hoy (6, Dimensions), otro mapa de @biomolic.bsky.social en el que, usando R, ha añadido relieve a un mapa geológico de Asturias de mediados del Siglo XX!

Como siempre, el código está disponible en el repo de GitHub!
github.com/ecoinfAEET/2...

#30DayMapChallenge

15 4 0 0
4 months ago
Post image

Day 6 — Dimensions
3D Geological Map of Asturias
A blend of past and present — combining mid-20th century geology with modern topography to reimagine the landscapes of Asturias in 3D.
#30DayMapChallenge #Dimensions #Asturias #Cartography #rayshader

10 1 0 0
4 months ago
Post image

Day 4 — My Data
My Journey Through Iceland (2022)
A map of my favorite places across Iceland — from waterfalls to volcanoes.
Built from my own Google Maps favorites and designed in QGIS.
#30DayMapChallenge #MyData #QGIS #Iceland #Cartography

5 0 0 0
4 months ago
Post image

Day 3 – #30DayMapChallenge
Theme: Polygons

Mean annual temperature across Spain 🇪🇸, using WorldClim v2.1 (BIO1, 2.5′ resolution).
Administrative boundaries: IGN.

#DataViz #Geospatial #Python #Cartography

7 1 0 0
4 months ago
Video thumbnail

Comenzamos el reto #30DayMapChallenge 2025!!

El tema de hoy es: Puntos, así que hemos pensado en hacer un mapa... con las ubicaciones de los y las integrantes de EcoInformática AEET!
Es un mapa interactivo #leaflet, que además puedes ver alojado en nuestra web (ecoinfaeet.github.io/miembros.html)

3 5 0 0
5 months ago
Post image

¡Hola, ecoinformáticxs! 🌍💻 ¿Os gusta hacer mapas? ¿Y si os decimos que podemos unirnos para un reto divertido y colaborativo? Si estás leyendo esto, ¡TE QUEREMOS! ❤️¡Atentos, que esto mola! 👇

19 21 2 0
5 months ago
Post image

Today, I had the opportunity to present a little about myself and my career at the annual meet of the Biogeography and Climate Change department at @mncn-csic.bsky.social , where I will be doing a postdoctoral fellowship for a year with @jhortal.bsky.social

7 2 0 0
8 months ago
Preview
Glaciations, deciduous forests, water availability and current geographical patterns in the diversity of European Carabus species Aim Current climate, biotic habitat provision and historical events are known drivers of diversity patterns. However, these three factors are seldom evaluated together. Here, we study the influence ...

Habitat has also a significant influence on the diversity of European Carabus ground beetles. The species richness gradients of this speciose genus are the result of the interplay of current and past climate, but also with the influence of the geographical distribution of deciduous forests. 🧪🌐

1 1 0 0
8 months ago

Habitat availability also plays an important role. There are more dragonfly lotic species (which prefer running waters) in areas with more rivers and streams, albeit the relationship of lentic species with standing water habitats is more complex. 🧪🌐 👇

0 1 1 0
8 months ago
Preview
Ice age climate, evolutionary constraints and diversity patterns of European dung beetles Ecology Letters (2011) 14: 741–748 Abstract Current climate and Pleistocene climatic changes are both known to be associated with geographical patterns of diversity. We assess their associations ...

These results resemble those found for European dung beetles, where we also showed that the influence of past climate was also higher in northern Europe. 🧪🌐 👇

1 1 1 0
8 months ago
Deviance partitioning results expressed as percentages of explained deviance of each independent and joint fraction of the predictors for each study group (all odonates, lotic species, lentic species) in the two study areas (Northern and Southern Europe). White is for the influence of past climate, grey for current climate, and blue for habitat availability.

Temperature determines the northward decrease in species richness, and precipitation does so for the southward decrease. But the last ice age climate had a greater influence than current climate in northern Europe, particularly for species related to standing water habitats. 🧪🌐 👇

1 1 1 0
8 months ago
Geographic patterns of species richness per 50 × 50 km grid cell in Europe for all odonates.

The study by @biomolic.bsky.social, @cristinaronquillo.bsky.social et al. shows that dragonfly species richness is higher in Central Europe and decreases both northwards and southwards from there, mainly due the higher diversity of lentic species (which depend on standing water habitats). 🧪🌐 👇

2 1 1 0
8 months ago

The species richness of European dragonflies and damselflies is influenced by current climate, following the known balance between water and energy, and the availability of freshwater habitats, but also by climatic conditions during the last ice age. #NICED
@mncn-bgcg.bsky.social 🧪🌐 👇

7 4 1 0
8 months ago
Preview
Ice age, current climate, habitat availability, and the diversity of European dragonflies and damselflies Several studies show that species richness patterns are determined by current climate and Pleistocene climatic oscillations. Additionally, habitat availability is an important driver of current specie...

🎉New paper out!

We show how ice age legacy + current climate + habitat shape diversity of European #dragonflies & #damselflies (Odonata)

➡️ biogeography.pensoft.net/article/1369...
#Biogeography #Ecology #Odonata
Open access article in Frontiers of Biogeography
@biogeography.bsky.social

4 1 0 2
8 months ago
Preview
Ice age, current climate, habitat availability, and the diversity of European dragonflies and damselflies Several studies show that species richness patterns are determined by current climate and Pleistocene climatic oscillations. Additionally, habitat availability is an important driver of current species diversity, especially in aquatic ecosystems where lentic (standing water) and lotic (running water) habitats play distinct roles in species composition and richness. Odonates, an order of aquatic insects, exhibit distinct adaptive traits in response to climate and to lentic and lotic habitats. In this work, we study the species richness patterns of European odonates and the influence of past and current climate, and habitat availability. The study covers 124 species distributed across Europe (excluding Russia and all European islands except Great Britain and Ireland), divided into three groups: all odonates, lentic species, and lotic species. Notably, lentic species total 70% of the studied Odonata species, thus influencing overall species richness patterns. We analyzed their diversity in Northern and Southern Europe, divided according to the 0 °C Isotherm of the Last Glacial Maximum (21,000 years ago), using data on current and Last Glacial Maximum climate (temperature and precipitation), as well as on habitat data from land cover and hydrology GIS maps. Our results suggest that the species richness patterns of dragonflies and damselflies are largely determined by the water-energy balance, with temperature influencing the decline in richness towards the north and precipitation determining the decline towards the south. Past climate oscillations affect species richness in southern and northern Europe. Habitat availability also influences odonate diversity to a lesser extent, with a positive correlation between lotic species richness and their habitat availability. In contrast, lentic species richness showed a negative correlation with the availability of lentic habitats. Highlights We evaluate whether the variation of dragonfly species richness across Europe is determined by current climate, the climatic conditions during the last ice age, and the availability of freshwater habitats. Dragonfly species richness is higher in Central Europe and decreases both northwards and southwards from there. These variations are primarily determined by current and past climate, and to a lesser extent by habitat availability. Temperature determines the northward decrease in species richness, while the southward decrease is so by precipitation. The last ice age climate had a greater influence than current climate in northern Europe, while in southern Europe current climate has a greater influence, particularly for species related to standing water habitats. Species richness is higher in areas with more rivers and water courses, while the relationship with the availability of standing water habitats is more nuanced.

👨‍🔬Joaquín Calatayud, #IICG researcher, is co-authors of the new article ‘ Ice age, current climate, habitat availability, and the diversity of European dragonflies and damselflies’, published in Frontiers of Biogeography.

👀You can read it here👇

1 1 0 0
8 months ago
Video thumbnail

ICYMI githistory.xyz is a great way to navigate #git commits and visualise how a file has been changing across commits

Just replace github.com with github.githistory.xyz in the URL and enjoy! #rstats

64 19 4 3
8 months ago
Post image

📖Published📖

Authors present the adm R package, developed to support the construction of abundance-based species distribution models , including data preparation, model fitting, prediction and model exploration 🌍 🧪 Read the article here 👇

buff.ly/sXjdv8o

21 9 0 2
9 months ago
Post image

Today starts the III SIBECOL & XVII AEET Meeting from 2 to 6 June. On Thursday I will give a talk on the relationship between spatial co-occurrence of species and their niche similarity in European dragonflies and damselflie (Odonata). ✨🌍🔎🔗

1 0 0 0
10 months ago
Preview
Macroclimatic niche similarity and species relatedness shift their influence on species co‐occurrence in bryophyte forest communities across scales The relationship between epiphytic bryophyte species associations changes with scale. Macroclimatic niche similarity strongly influences co-occurrence globally but less so at smaller scales. Most spe...

Este paper de la tesis de Fernando Hurtado muestra que la mayoría de especies coocurren o son neutrales a distintas escalas. La exclusión competitiva es menos común, y hasta el 7% de las especies analizadas ocurren juntas más en cojines de musgo que a escala regional @mncn-bgcg.bsky.social 🧪👇#NICED

8 3 1 0