Forest Systems
296 posts
@ForestSystems_J
International indexed peer-reviewed openaccess journal in multidisciplinary research with forest ecology, management and products in socioecological systems
Una serie de empresas fantasma compra prestigiosas revistas científicas para lucrarse publicando artículos dudosos eldiario.es/1_b6f067?utm_c… vía @eldiarioes
New @ForestSystems_J special issues! #OpenAccess free APC taxes 👉Edible mycorrhizal fungi (1/03/2025) 👉Advances in national forest monitoring networks (30/04/25) 👉Adaptation of forests in an unpredictable future (31/10/25) More details fs.revistas.csic.es/index.php/fs/a… Send your ms!
Otro año más, seguimos entre los investigadores más citados del mundo (🔝 1%) según el ranking de Stanford/Scopus: El 3r español más citado en los campos de biología vegetal/ecología, y el 58 a nivel mundial. Trabajar con un equipazo da sus frutos. elsevier.digitalcommonsdata.com/datasets/btchx…
¿Te gustaría conocer la relación entre la conductividad hidráulica del #xilema y la tasa de #crecimiento de #Eucalyptus globulus? Que no se hable más. Acaba de salir publicado en @ForestSystems_J nuestro último trabajo al respecto. 👉fs.revistas.csic.es/index.php/fs/a… @INTAtandilCM
Special Issue about RESERVOIRS OF GLOBAL MYCOCULTURAL HERITAGE AND MYCOLOGICAL RESOURCES edited by @YoungForesters researchers is available fs.revistas.csic.es/index.php/fs/a… Articles from Africa, America, Europe and the guest opinion article by David Pilz fs.revistas.csic.es/index.php/fs/a…
Desde el Comité Editorial esperamos con entusiasmo tu contribución a Forest Systems, que está muy bien posicionada en el área forestal. @ForestSystems_J, @FCFUNSE, @embrapa, @investigacionud, @Ecolmod , @EcologiaAridas, @IEBChile, @UFDPar, @UNSEoficial
A very thorough write up of @ElsevierConnect latest report into equality in research via @publishingpers / @Porter_Anderson. Discover more 👇 publishingperspectives.com/2024/06/elsevi…
Simpson’s Paradox is a fascinating statistical phenomenon where the relationship between two variables can completely change when a third variable is considered. This often leads to contradictory conclusions if not carefully analyzed. For example, in a data set, you might see a positive trend between variables X and Y. However, when you split the data into subgroups based on a third variable, Z, the trend might reverse or disappear. Key takeaways: ✔️ Always consider potential lurking variables that could influence your results. ✔️ Be cautious with aggregated data; sometimes the real insights lie in the subgroups. ✔️ Use visualizations to better understand the relationships within your data. Giannis Tolios shared this great visualization on Simpson's Paradox in a recent post, emphasizing the importance of thorough analysis to avoid such pitfalls. This paradox underscores the necessity for data analysts to be meticulous in their work to prevent erroneous interpretations. #statistics #datascience #statisticalanalysis
