Methods in Ecology and Evolution (@MethodsEcolEvol) header
Methods in Ecology and Evolution (@MethodsEcolEvol) profile picture

Methods in Ecology and Evolution

@MethodsEcolEvol

MEE is a scientific journal promoting new methods in #ecology & #evolution, and facilitating their dissemination and uptake by the #research community.

 London, UK
besjournals.onlinelibrary.wiley.com/journal/2041210x
Joined November 2009
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Our October issue is out now! 🚨 This month's cover image shows a red fox (Vulpes vulpes) beside a mountain road. The image highlights the vulnerability of wildlife moving through landscapes crossed by human infrastructure 🛣️ Read the issue now 👇 buff.ly/ibUvY8k
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📖 Published 📖 Vendi information gain has broad applicability beyond ecology, and these results highlight its value for biodiversity monitoring in data-limited environments 🦌 🌳 📹 Read more here👉️ buff.ly/63KeCFi
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📖 Published 📖 INDITEK-2.0's ability to probabilistically infer underlying evolutionary processes provides a new, spatially explicit modelling tool for reconstructing the evolutionary history of biodiversity across the Earth🌏️ 🕰️ 🦠 👉️ buff.ly/oewRi6s
INDITEK‐2.0: A Bayesian inverse modelling framework for mechanistic evolutionary processes

INDITEK‐2.0: A Bayesian inverse modelling framework for mechanistic evolutionary processes

Mechanistic eco-evolutionary models are powerful tools for understanding how life diversified over geological timescales, yet estimating their parameters remains a key challenge. The high computat...

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Our November issue is out now! 🚨 This months cover shows an adult peregrine falcon (Falco peregrinus) perched on a dead branch. Photo credit: Vincent Michel 🦅 Find out more about the cover and read the whole issue now 👇 buff.ly/7CeHIcD
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📖 Published 📖 By combining a code-free interface with advanced modelling capabilities, camtrapR now makes robust camera trap data analysis accessible to a wider audience of ecologists, wildlife managers and students 🎥 👨‍🔬 📊 Read more here👉️ buff.ly/VlpRg73
The camtrapR R package: From data management to interactive ecological analysis of camera trap data

The camtrapR R package: From data management to interactive ecological analysis of camera trap data

Camera trapping has become an indispensable tool in wildlife ecology, generating vast datasets that require efficient and robust analytical workflows. The R package camtrapR was originally develop...

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📖 Published 📖 This study introduces a drone-based workflow that automatically acquires hundreds of close-up, ultra-high-resolution photographs (~0.4 mm pixel−1) of selected tree crowns per day 🌴 📷 🛰️ 👉️ buff.ly/dm6Mdny
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📖 Published📖 Our methods can be used to link together multiple types of DNA observations or to connect DNA observations with non-genetic ecological methods for surveying ecosystems 🧬 🦠 🌱 👉️ buff.ly/Q8mMvtX
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📖 Published 📖 To support reproducible ecological workflow, TreeSegAgent further provides a task-driven agent for automated, specification-driven orchestration of common point-cloud operations across datasets 🌲 🤖 ☁️ 👉️ buff.ly/fsOp0iU
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Methods in Ecology and Evolution retweeted
Journal of Applied Ecology (@JAppliedEcology) profile picture
Journal of Applied Ecology@JAppliedEcologyOct 29
Navigating evidence synthesis in applied ecology 🗂️ In this Editorial, we aim to untangle the complexity of evidence synthesis methods & set out practical guidance for authors such as... 👉design expectations 👉common pitfalls 👉making evidence useful for ecological management
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📖 Published 📖 This study develops community-wide indicators of phenological emergence, environmental emergence and species mismatch, which can be applied to inform biodiversity policy at any scale and for any taxa 🦋 📈 🌦️ 👉️ buff.ly/lBQcclt
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Methods in Ecology and Evolution retweeted
Journal of Animal Ecology (@AnimalEcology) profile picture
Journal of Animal Ecology@AnimalEcologyOct 29
🚨 new podcast episode! 🕷️ we spoke with Nevo Sagi about his recently published paper, "carbon flow to generalist predators shifts between plant- and fungal-derived resources in highly seasonal ecosystems" 🎧️ you can listen to the full episode here: buff.ly/NZoWKph
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📖 Published 📖 These results demonstrate that dense GPR surveys, coupled with connectivity-based modelling, provide a non-destructive and repeatable approach for characterising coarse root architecture 🪾 📈 🌳 👉️ buff.ly/Hf5g16A
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There is still time to submit a proposal for this cross-journal special feature. ⏰Deadline 5th November
Methods in Ecology and Evolution (@MethodsEcolEvol) profile pictureMethods in Ecology and Evolution@MethodsEcolEvolOct 16
📣 Call for proposals! We're currently accepting proposals for our new cross-journal Special Feature: '70 Years of ecological genetics: Past, present, and future' until November 5th! 🧬 📈 🌏️ Find out more here👇️ buff.ly/tz2bEwX
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📖 Published 📖 UNIQAT can help deliver objective and tunable image quality metrics in a versatile toolkit that enables transparent reporting and supports unsupervised quality assessment for applications in marine monitoring and robotics 📷 🪸 🐡 👉️ buff.ly/nUmKM6c
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New blog post!🚨 Dead alien DNA tells the story of underground ecological interactions. In this blog post, authors introduce HGTScanner, a Python tool to characterize HGT across whole organellar genomes 🧬 buff.ly/ZHeCUZL
Dead alien DNA tells the story of underground ecological interactions

Dead alien DNA tells the story of underground ecological interactions

Post provided by Liming Cai Much of the species diversity on Earth is driven by biotic interactions. Ecologists and evolutionary biologists, including myself, strive to characterize these phenomena…

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New blog post!🚨 Researchers have long that known that roadkill counts were incomplete- this paper set out to measure how many animals actually die due to collisions. Read the blog post here 👇 buff.ly/lvqMpTT
The roadkill we never see

The roadkill we never see

Post provided by Guillermo Gomez-Peña Guillermo Gomez-Peña on a survey along one of our study roads in south-western Spain. Javier Alfaya Roads, power lines and wind turbines kill an enormous numbe…

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📖Published📖 In this application paper, authors introduce HGTScanner, a Python tool to characterize horizontal gene transfer across whole organellar genomes. Read the article here 👇 buff.ly/myb0643
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📖Published📖 An integrated model of territory occupancy and mark-recapture data for estimating spatial variation in survival. Read here 👇 buff.ly/LBO8zsG
An integrated model of territory occupancy and mark‐recapture data for estimating spatial variation...

An integrated model of territory occupancy and mark‐recapture data for estimating spatial variation...

Spatial variation in survival is central to understanding population dynamics and guiding conservation. However, assessing it is hard, since capture-mark-recapture (CMR) data required for such inf...

besjournals.onlinelibrary.wiley.com
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📖Published📖 Authors introduce a novel, cost-effective, miniaturized PM2.5 datalogger (‘smoke logger’) that collects sub-hourly particulate matter data throughout entire fire seasons. Read here👇 buff.ly/4r5kGdk
Smoke signals: Measuring wildlife smoke exposure with animal‐borne and stationary sensors

Smoke signals: Measuring wildlife smoke exposure with animal‐borne and stationary sensors

Wildfires are becoming larger, more frequent and more severe, producing smoke plumes that degrade air quality hundreds of kilometres away and for days to weeks after an active fire. Despite public...

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📖Published📖 Check out our new research article 👉 Distinguishing pairwise species spatial associations from multi-species distribution patterns Read the whole article here 👇 buff.ly/dHXxpXE
Distinguishing pairwise species spatial associations from multi‐species distribution patterns

Distinguishing pairwise species spatial associations from multi‐species distribution patterns

To understand species coexistence, measuring between-species co-distributional patterns is valuable. In the present study, we distinguished and separated pairwise species spatial associations (inc...

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📖 Published📖 This review argues that edge AI systems enable timely and scalable ecological observations, but realising their full potential depends on closer collaboration 🤖 🧪 🌏️ 👉️ buff.ly/I1YCBJf
Future of edge AI in biodiversity monitoring

Future of edge AI in biodiversity monitoring

Many ecological decisions are slowed by the gap between collecting and analysing biodiversity information. Edge computing moves data processing closer to the sensor, with edge artificial intellige...

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