Mapping coastal wetland biodiversity and ecosystem services using hyperspectral data and machine learning Coastal wetlands are vital ecosystems that support high biodiversity and multiple ecosystem services but are increasingly vulnerable to urbanization a…

New research from the #KochiCoast shows how combining hyperspectral imaging with #RandomForest models creates a "transferable framework" for protecting these vital #ecosystems 🌍

#BlueCarbon #Sustainability #EcoInformatics #RemoteSensing #MachineLearning #GIS

www.sciencedirect.com/science/arti...

Launching Meet the #EcoInformatics!
A great opportunity for members of IAVS EcoInformatics Working Group to share their tools, #research, and stories tackling big #ecological questions.
👉Apply here - forms.gle/kqDzhfHJzDeUE99B9

Vegetation Classification and Survey  Vegetation Classification and Survey (VCS) is an international, peer-reviewed, online journal on plant community ecology published on behalf of the International Association for Vegetation Scien...

🎉 Vegetation Classification and Survey (VCS) has received its first Journal Impact Factor: 3.0 — ranking Q2 in all Web of Science categories!

Scopus CiteScore: 3.6 | SJR: Q1 in all categories 🌿
👉 vcs.pensoft.net

#IAVS #VegetationScience #Ecoinformatics #OpenAccess

There was open science, transparency… and even a small performance on stage 😄.
Inspiring, fun, and very them.

#TScourses #KeepLearning #OpenScience #TransparentScience #Ecoinformatics #ScienceLife #SciComm #ResearchersInAction

Last year, I had the incredible opportunity to deliver a talk for the #BioDT project and @lifewatcheric.bsky.social, exploring the fascinating ways #ecoinformatics can revolutionize our ability to forecast changes in #Biodiversity!

#meetECONOVO🌍✨ Meet @anordonez1.bsky.social — an ecologist blending climate science, macroecology & AI to predict ecosystem futures. As a core #ECONOVO and #IPBES member, he maps resilience pathways to help navigate global change and inform biodiversity policy. 🌱🔍 #GlobalChange #Ecoinformatics

Ecoinformatics researcher advances conservation science - AgriLife Today The emerging field of ecoinformatics is transforming the way we understand and manage ecological systems and real-world challenges.

🔬 Dr. Sorin Popescu's pioneering work in ecoinformatics is featured in Texas A&M AgriLife Today! 🌍

His research integrates data science and ecology, advancing innovation in conservation.

📖 Read more: agrilifetoday.tamu.edu/2025/03/20/e...

#AgriLife #Ecoinformatics #ConservationScience

Get ready for an exciting moment! Peter Petø is stepping up to deliver his defense lecture as part of his #PhD journey. I’m thrilled to chair this session and witness one of our #ECOINFORMATICS students reach such a significant milestone!

In my #research, I combine numerous approaches (e.g., #ecoinformatics, #PhylogeneticComparativeMethods, #genomics) to understand how diverse biological systems (from #molecules to #ecosystems) respond to #ClimateChange.

For more info, please visit https://dgkontopoulos.io 👋 2/2

Macroecologist and plant biogeographer. Interested in biodiversity changes at different temporal (millennia to years), spatial and organization (from genes to communities) scales. Working on *Genista spp* and *Thymus mastichina* #palynology #anthropocene #conservation #restoration #ecoinformatics

graphical abstract of linked paper titled "Leveraging satellite observations to reveal ecological drivers of pest densities across landscapes." The first panel has an image of Lygus hesperus, a map of California and says "Pest insect populations vary unpredictably over time and space. Do satellites improve understanding of non-crop habitat availability for a generalist pest in California agricultue?" The second panel had a stick figure scanning the horizon, 4 Lygus hesperus with the words "historic pest monitoring data" and an image of a satellite with figure below showing a normal distribution curve with day-of-year on the x-axis and "daily productivity" on the y axis. The area under the curve is labeled "total productivity and the tail end is labeled dormancy. The right panel says "non-crop vegetation that is more productive results in 35 times more Lygus in cotton, non-crop vegetation with later dormancy results in 2.8 times more Lygus in cotton.

🧪👩‍🔬🌏🐛 Excited to share this paper that came out of a great collaboration with @dskarp.bsky.social, @beckyck.bsky.social, Richard Sharp and Jay Rosenheim. If you're interested in how we can use #Ecoinformatics and #RemoteSensing to understand pest ecology read on. www.sciencedirect.com/science/arti...

Page Up - UMass Boston

Hey #informatics, #DataScience , #dataManagement, #dataengineering , #ecoinformatics, and other folk! The Stone Living Lab at @UMassBoston @EnvSchool is looking to hire a data manager! employmentopportunities.umb.edu/boston/en-us/job/520699/... Come...

Additionally stop by Dr. Allisons Stegner et al @allison_stegner (postdoc at @stanfordjrbp) #ESA2020 presentation: Abrupt vegetation changes in the #Anthropocene exceed Holocene levels of abrupt change
#ecoinformatics @neotomadb eco.confex.com/eco/2020/meetingapp.cgi/...