Caio Graco-Roza
@gracoroza.bsky.social
I am an ecologist starting a research group at the Lammi Biological Station (University of Helsinki). In my free time, I enjoy playing music and going to the gym. I have 🐈 🐈⬛ and I’m proudly Brazilian—wholeheartedly!
Environmental science
69%
Geography
17%
Caio Graco-Roza
@gracoroza.bsky.social
· Dec 23
This says a lot about the fact that most prestigious international journals are in western countries. More of them in Eastern countries and we would have another setting of holidays. On a funny note, here in Finland, the most relevant call for funding has its deadline on January 8th. It bugs me…
Reposted by Caio Graco‐Roza
Mark A. Hanson
@hansonmark.bsky.social
· Dec 20
Finland downgrades MDPI and Frontiers – will others follow suit?
Decision to downgrade 271 journals on quality and operating model concerns sparks debate
www.timeshighereducation.com
I was approached re: the Finnish decision to downgrade MDPI & Frontiers journals in 🇫🇮 rankings (THE article).
This decision was based on broad patterns, including in our recent study "The strain on scientific publishing"
(link: direct.mit.edu/qss/article/...)
A quick 🧵 1/n
#SciPub #AcademicChatter
This decision was based on broad patterns, including in our recent study "The strain on scientific publishing"
(link: direct.mit.edu/qss/article/...)
A quick 🧵 1/n
#SciPub #AcademicChatter
Caio Graco-Roza
@gracoroza.bsky.social
· Dec 11
Working on and publishing, please add me! 🫣
J’aimerais bien être ajouter. Merci!
Would you add me, please? 😃
Hi Brian, would you mind adding me to the list? Thanks 😃
Hi, would you please add me to this list :)?
Human pressure homogenises species and traits globally
Human pressures, particularly urbanisation and agricultural expansion, profoundly affect biodiversity by reshaping species and functional trait distributions, with critical consequences for ecosystem ...
doi.org
12/ 📢 Still a Preprint
This work is currently a preprint, and we welcome any comments, feedback, or criticism! 📝
You can access the full text and code to explore the details and share your impressions: doi.org/10.21203/rs.....
Let’s discuss! 💡
This work is currently a preprint, and we welcome any comments, feedback, or criticism! 📝
You can access the full text and code to explore the details and share your impressions: doi.org/10.21203/rs.....
Let’s discuss! 💡
11/2 🙌 Core Team
The core team behind this work included:
Myself (@gracoroza /
@gracoroza.bsky.social
)
@MarkKLWong /
@markklwong.bsky.social
@altermatt_lab /
@florianaltermatt.bsky.social
Martin Gossner, who is not on social media
The core team behind this work included:
Myself (@gracoroza /
@gracoroza.bsky.social
)
@MarkKLWong /
@markklwong.bsky.social
@altermatt_lab /
@florianaltermatt.bsky.social
Martin Gossner, who is not on social media
12/ 📢 Still a Preprint
This work is currently a preprint, and we welcome any comments, feedback, or criticism! 📝
You can access the full text and code to explore the details and share your impressions: https://doi.org/10.21203/rs.3.rs-5395446/v1.
Let’s discuss! 💡
This work is currently a preprint, and we welcome any comments, feedback, or criticism! 📝
You can access the full text and code to explore the details and share your impressions: https://doi.org/10.21203/rs.3.rs-5395446/v1.
Let’s discuss! 💡
11/2 🙌 Core Team
The core team behind this work included:
Myself (@gracoroza / @gracoroza.bsky.social)
@MarkKLWong / @markklwong.bsky.social
@altermatt_lab / @florianaltermatt.bsky.social
Martin Gossner, who is not on social media
The core team behind this work included:
Myself (@gracoroza / @gracoroza.bsky.social)
@MarkKLWong / @markklwong.bsky.social
@altermatt_lab / @florianaltermatt.bsky.social
Martin Gossner, who is not on social media
11/1 🙌 Acknowledgements
This work was only possible thanks to the incredible amount of open-access data and a huge collaborative effort involving over 20 authors from around the world. 🌍
This research was part of the Blue Green Biodiversity (BGB) initiative, a collaboration between EAWAG and WSL.
This work was only possible thanks to the incredible amount of open-access data and a huge collaborative effort involving over 20 authors from around the world. 🌍
This research was part of the Blue Green Biodiversity (BGB) initiative, a collaboration between EAWAG and WSL.
10/ 🚀 What’s Next?
To truly understand biodiversity loss, we need global collaboration, long-term monitoring, and policy changes that integrate functional diversity into urban planning and conservation.
To truly understand biodiversity loss, we need global collaboration, long-term monitoring, and policy changes that integrate functional diversity into urban planning and conservation.
9/ 💡 Why This Matters
Ecosystem resilience relies on functional diversity—the traits that allow ecosystems to function 🌱⚙️.
Homogenised traits mean ecosystems are less adaptable to change 🔄⚠️.
Conservation strategies must:
Protect minimally impacted habitats 🌳.
Promote habitat heterogeneity 🌾.
Ecosystem resilience relies on functional diversity—the traits that allow ecosystems to function 🌱⚙️.
Homogenised traits mean ecosystems are less adaptable to change 🔄⚠️.
Conservation strategies must:
Protect minimally impacted habitats 🌳.
Promote habitat heterogeneity 🌾.
8/ 🔄 Fig. 5: Species vs Trait Mismatch
-While 59.3% of datasets show species and traits changing in the same direction, traits are disproportionately homogenised 📏🌱.
-No differences in effect magnitude, but baseline pressure shapes responses.
-Exponential ↗️ and saturating ➡️ turnover often pair.
-While 59.3% of datasets show species and traits changing in the same direction, traits are disproportionately homogenised 📏🌱.
-No differences in effect magnitude, but baseline pressure shapes responses.
-Exponential ↗️ and saturating ➡️ turnover often pair.
7/ 🔄 Fig. 4: The Shape of Turnover
Species and trait turnover face tipping points under intense pressure.
Saturating responses dominate species turnover (43.7%) 🐟🌳, showing high sensitivity to small pressures.
Exponential responses dominate traits (34.4%) 🌆🌱, especially in urban areas.
Species and trait turnover face tipping points under intense pressure.
Saturating responses dominate species turnover (43.7%) 🐟🌳, showing high sensitivity to small pressures.
Exponential responses dominate traits (34.4%) 🌆🌱, especially in urban areas.
6/ 📊 Fig. 3: Homogenisation Hits Harder
Differentiation is more frequent, but human pressures drive homogenisation much more strongly.
Urban areas are hotspots, with 73.3% of urban datasets showing trait homogenisation.
This intense impact leaves ecosystems fragile and less adaptable. 🌇⚠️
Differentiation is more frequent, but human pressures drive homogenisation much more strongly.
Urban areas are hotspots, with 73.3% of urban datasets showing trait homogenisation.
This intense impact leaves ecosystems fragile and less adaptable. 🌇⚠️
5/ 🧩 Fig. 2: Differentiation vs Homogenisation
Differentiation is more common globally (70% of datasets), but freshwater and terrestrial ecosystems show heightened vulnerability to homogenisation—species in 40% of freshwater datasets and traits in 46.3% of terrestrial datasets.
Differentiation is more common globally (70% of datasets), but freshwater and terrestrial ecosystems show heightened vulnerability to homogenisation—species in 40% of freshwater datasets and traits in 46.3% of terrestrial datasets.
4/ 🧩 Fig. 1: Human Pressure > Climate & Geography
Our first key finding: Human pressure (as in human footprint) outweighs climate and geography, being responsible for 21.5% of species turnover and 20.6% of trait turnover.
Human activity reshapes biodiversity far beyond natural gradients. 🏙️🌾🌍
Our first key finding: Human pressure (as in human footprint) outweighs climate and geography, being responsible for 21.5% of species turnover and 20.6% of trait turnover.
Human activity reshapes biodiversity far beyond natural gradients. 🏙️🌾🌍
3/ 🔬 What We Did:
Analysing 160 datasets of over 13,000 local communities across 9 taxa and multiple ecosystems, we studied:
Species turnover (who’s replaced)
Trait turnover (what's replaced)
And how human pressure stacks up against climate or geography.
Analysing 160 datasets of over 13,000 local communities across 9 taxa and multiple ecosystems, we studied:
Species turnover (who’s replaced)
Trait turnover (what's replaced)
And how human pressure stacks up against climate or geography.
2/ 🌏 The Problem:
Human activities—urbanisation, agriculture, and more—are reshaping biodiversity at a global scale. But HOW do these pressures affect species and the traits they carry? 🤔
Hint: It's not just about losing species; it’s about losing variety.
Human activities—urbanisation, agriculture, and more—are reshaping biodiversity at a global scale. But HOW do these pressures affect species and the traits they carry? 🤔
Hint: It's not just about losing species; it’s about losing variety.