REVIEW Tropical root responses to global changes: A synthesis 📄 onlinelibrary.wiley.com/doi/full/10.11…

The training tool used in this study is an online app made with R Shiny, currently featuring nine plant diseases. It is freely available here: delponte.shinyapps.io/traineR2/

A new #MachineLearning analysis has revealed the most effective climate policies out of 1500 implemented worldwide over the last two decades. Learn more in Science: scim.ag/89A

We have a great list of ongoing award, fellowship and grant opportunities that we thought our members might be interested in. Check it out here: docs.google.com/document/d/1-x… #conservation #funding #fellowships #awards

Do you think that different types of data would produce different species’ range shift estimations? In this paper we can explore the differences in using abundance and occurrence data doi.org/10.1111/ddi.13… #ClimateChange #speciesdistribution #rangeshift #fishcommunities

Just a reminder that the 2009 Leaf Manual is available open access ! Use it and enjoy the leaves. 🍃🌿🍂 repository.si.edu/handle/10088/9…

#DYK that the USGS EROS Center has created an online #RemoteSensing classroom that provides students with a unique opportunity to explore the #Earth from a new perspective? Check out the #LandChange with #Landsat lesson here: ow.ly/nHoP50TeEAV #BackToSchool #OnlineLessons

Basic statistics concepts (that all researchers should know)

Interested in how genomic data can help improve conservation assessments and population monitoring? Check out our paper in Evolutionary Applications where we outline background, provide a bioinformatic pipeline, and suggest an analytical framework🧵doi.org/10.1111/eva.70…

We've re-established our task group on on invasive alien species! Melodie McGeoch of Monash University will lead 11 experts in offering guidance & identifying pragmatic steps for GBIF to reach its full potential in supporting research & policy on #InvasiveSpecies: gbif.org/news/3AF5MJWHC…

In the 20 years since the term “microplastics” was first coined, a rapidly growing body of research has consistently shown how pervasive and problematic the pollutants have become. A new #ScienceReview provides an overview of this research and the progress made in understanding

Maximum Likelihood Estimation (MLE) is a fundamental method in statistics for estimating the parameters of a probability distribution based on observed data. The core idea is to determine the parameter values that make the observed data most probable under the assumed statistical

Our study ‘The #global #human impact on #biodiversity’ is out nature nature.com/articles/s4158… 🌍🌐🐟🌿🪲 🫎🦋🐝🪲 Unprecedented #synthesis of >2000 studies shows humans are not only shrinking species numbers—but reshaping entire communities across the planet. 🧵1/4

Take a moment to learn about the senatorial candidates before casting your vote. #Eleksyon2025 Get to know them here 👇philstar.com/headlines/2025…

In statistics, Frequentist and Bayesian approaches are two major methods of inference. While they aim to solve similar problems, they differ in their interpretation of probability and handling of uncertainty. Frequentist Approach: Frequentists interpret probability as the

Negative global-scale association between genetic diversity and speciation rates in mammals nature.com/articles/s4146…

New online! Drivers and solutions to Southeast Asia’s biodiversity crisis bit.ly/4o4alKA

Validating habitat suitability models for pine marten (Martes martes) reintroductions to England and Wales 📈 The adaptive methodology can be applied to other species as reintroduction projects continue to grow in popularity 💭 🔗 doi.org/10.1111/1365-2…

Urbanised landscape and microhabitat differences can influence flowering phenology and synchrony in an annual herb 🌿 Findings revealed that populations in urban sites exhibited earlier flowering onset compared to rural locations 🏢 👇 Read here: buff.ly/VWtG2kW

When predictor variables are too closely related, your regression model struggles to determine which one truly matters. This issue, known as multicollinearity, inflates standard errors, distorts coefficient estimates, and weakens model reliability. Variance Inflation Factor (VIF)