#PlantTrait
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hilaryrosed.bsky.social
Delighted to see my future lab group in Norway has joined Blue Sky!

Give Between the Fjords a follow to hear about all their exciting research in the #carbon, #ecophys, #PlantTrait, #biodiversity space (particularly if you're a fellow #grasslands enthusiast).

🧪 #ecology
btwnthefjords-uib.bsky.social Between the Fjords Research Group @btwnthefjords-uib.bsky.social · Apr 28
Between the Fjords is an ecology research group led by @vvandvik.bsky.social at the University of Bergen. We study environmental change in alpine and coastal landscapes, using field experiments, functional traits, carbon cycling, species composition, belowground ecology, & many more. Follow along!
April 29, 2025 at 6:46 AM
bjenquist.bsky.social
A critical read for anyone who has used or is thinking of using
#TRY plant trait data -- "Currently, ecological analyses using TRY data appear, at best, not as powerful as they can be and, at worst, wrong." -- We likely need to start anew and rebuild how we share, access, and cite #PlantTrait data
frodsan.bsky.social Francisco Rodriguez-Sanchez @frodsan.bsky.social · Nov 29
1/ Important read for anyone using, contributing, or building large databases by aggregating data sources. Discusses issues with data quality, duplication, credit attribution, etc, and includes recommendations for improvement

doi.org/10.1111/gcb.... #ecopubs
Improper data practices erode the quality of global ecological databases and impede the progress of ecological research The scientific community has entered an era of big data. However, with big data comes big responsibilities, and best practices for how data are contributed to databases have not kept pace with the collection, aggregation, and analysis of big data. Here, we rigorously assess the quantity of data for specific leaf area (SLA) available within the largest and most frequently used global plant trait database, the TRY Plant Trait Database, exploring how much of the data were applicable (i.e., original, representative, logical, and comparable) and traceable (i.e., published, cited, and consistent). Over three-quarters of the SLA data in TRY either lacked applicability or traceability, leaving only 22.9% of the original data usable compared with the 64.9% typically deemed usable by standard data cleaning protocols. The remaining usable data differed markedly from the original for many species, which led to altered interpretation of ecological analyses. Though the data we consider here make up only 4.5% of SLA data within TRY, similar issues of applicability and traceability likely apply to SLA data for other species as well as other commonly measured, uploaded, and downloaded plant traits. We end with suggested steps forward for global ecological databases, including suggestions for both uploaders to and curators of databases with the hope that, through addressing the issues raised here, we can increase data quality and integrity within the ecological community.
January 17, 2025 at 11:22 AM
jpecol.bsky.social
【🎉Latest accepted article】
#ClonalPlants display guerrilla architecture and acquisitive strategy in high-moisture areas of #MarshWetlands in northern China

#EcologicalStrategy | #PlantTrait | #SoilMoisture

@mapjournals.bsky.social

doi.org/10.1093/jpe/...
Clonal plants display guerrilla architecture and acquisitive strategy in high-moisture areas of marsh wetlands in northern China
Abstract. Plant traits arise due to evolutionary and environmental drivers operating across different spatial and temporal scales. Significant progress has
doi.org
July 19, 2025 at 3:17 PM