Zobrazeno 1 - 10
of 134
pro vyhledávání: '"Dylan Z Childs"'
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0272052 (2022)
Microbial experimental evolution allows studying evolutionary dynamics in action and testing theory predictions in the lab. Experimental evolution in chemostats (i.e. continuous flow through cultures) has recently gained increased interest as it allo
Externí odkaz:
https://doaj.org/article/8269675bb791438784711494f423ecb9
Autor:
Alexa Varah, Kwadjo Ahodo, Dylan Z. Childs, David Comont, Laura Crook, Robert P. Freckleton, Rob Goodsell, Helen L. Hicks, Richard Hull, Paul Neve, Ken Norris
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Globally, pesticides improve crop yields but at great environmental cost, and their overuse has caused resistance. This incurs large financial and production losses but, despite this, very diversified farm management that might delay or prev
Externí odkaz:
https://doaj.org/article/b916c0924b8d4e2d9a4a7bc455267fde
Autor:
Andrew D. Dean, Dylan Z. Childs, Yolanda Corripio‐Miyar, Mike Evans, Adam Hayward, Fiona Kenyon, Luke McNally, Tom N. McNeilly, Robin J. Pakeman, Amy R. Sweeny, Daniel H. Nussey, Amy B. Pedersen, Andy Fenton
Publikováno v:
Ecology and Evolution, Vol 14, Iss 6, Pp n/a-n/a (2024)
Abstract Organisms have evolved diverse strategies to manage parasite infections. Broadly, hosts may avoid infection by altering behaviour, resist infection by targeting parasites or tolerate infection by repairing associated damage. The effectivenes
Externí odkaz:
https://doaj.org/article/d371a39c523f45c8a6a6da738037d8ac
Autor:
Samuel J. L. Gascoigne, Simon Rolph, Daisy Sankey, Nagalakshmi Nidadavolu, Adrian S. Stell Pičman, Christina M. Hernández, Matthew E. R. Philpott, Aiyla Salam, Connor Bernard, Erola Fenollosa, Young Jun Lee, Jessica McLean, Shathuki Hetti Achchige Perera, Oliver G. Spacey, Maja Kajin, Anna C. Vinton, C. Ruth Archer, Jean H. Burns, Danielle L. Buss, Hal Caswell, Judy P. Che‐Castaldo, Dylan Z. Childs, Pol Capdevila, Aldo Compagnoni, Elizabeth Crone, Thomas H. G. Ezard, Dave Hodgson, Tiffany M. Knight, Owen R. Jones, Eelke Jongejans, Jenni McDonald, Brigitte Tenhumberg, Chelsea C. Thomas, Andrew J. Tyre, Satu Ramula, Iain Stott, Raymond L. Tremblay, Phil Wilson, James W. Vaupel, Roberto Salguero‐Gómez
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 8, Pp 2065-2083 (2023)
Abstract Stage‐based demographic methods, such as matrix population models (MPMs), are powerful tools used to address a broad range of fundamental questions in ecology, evolutionary biology and conservation science. Accordingly, MPMs now exist for
Externí odkaz:
https://doaj.org/article/97e2d756260648708b6f1215e8bf622b
Autor:
Amy R. Sweeny, Hannah Lemon, Anan Ibrahim, Kathryn A. Watt, Kenneth Wilson, Dylan Z. Childs, Daniel H. Nussey, Andrew Free, Luke McNally
Publikováno v:
mSystems, Vol 8, Iss 4 (2023)
ABSTRACT Next-generation sequencing (NGS) and metabarcoding approaches are increasingly applied to wild animal populations, but there is a disconnect between the widely applied generalized linear mixed model (GLMM) approaches commonly used to study p
Externí odkaz:
https://doaj.org/article/1363b446e3f543a793e211309e9fae50
Autor:
Sam C. Levin, Dylan Z. Childs, Aldo Compagnoni, Sanne Evers, Tiffany M. Knight, Roberto Salguero‐Gómez
Publikováno v:
Methods in Ecology and Evolution, Vol 12, Iss 10, Pp 1826-1834 (2021)
Abstract Integral projection models (IPMs) are an important tool for studying the dynamics of populations structured by one or more continuous traits (e.g. size, height, body mass). Researchers use IPMs to investigate questions ranging from linking d
Externí odkaz:
https://doaj.org/article/bbf2d01a65584b7c8718012ec32512a3
Autor:
Paolo Fraccaro, Junaid Butt, Blair Edwards, Robert P. Freckleton, Dylan Z. Childs, Katharina Reusch, David Comont
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4197 (2022)
Weed infestation is a global threat to agricultural productivity, leading to low yields and financial losses. Weed detection, based on applying machine learning to imagery collected by Unmanned Aerial Vehicles (UAV) has shown potential in the past; h
Externí odkaz:
https://doaj.org/article/92fd232589124eb2aede77323f6b53c7
Publikováno v:
Cerini, F, Childs, D Z & Clements, C F 2023, ' A predictive timeline of wildlife population collapse ', Nature Ecology and Evolution, vol. 7, no. 3, pp. 320-331 . https://doi.org/10.1038/s41559-023-01985-2
Contemporary rates of biodiversity decline emphasize the need for reliable ecological forecasting, but current methods vary in their ability to predict the declines of real-world populations. Acknowledging that stressor effects start at the individua
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::92ca759dc6ba869f1c0600047c990b7f
https://doi.org/10.1038/s41559-023-01985-2
https://doi.org/10.1038/s41559-023-01985-2
Autor:
Sam C. Levin, Sanne Evers, Tomos Potter, Mayra Peña Guerrero, Dylan Z. Childs, Aldo Compagnoni, Tiffany M. Knight, Roberto Salguero‐Gómez
Publikováno v:
Methods in Ecology and Evolution
Discrete time structured population projection models are an important tool for studying population dynamics. Within this field, Integral Projection Models (IPMs) have become a popular method for studying populations structured by continuously distri
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9222d84a2fc0fc4abaf991123b28b969
https://doi.org/10.1111/2041-210x.13910
https://doi.org/10.1111/2041-210x.13910
Autor:
Thomas C. Lewis, Ignacio Gutiérrez Vargas, Claire Vredenbregt, Mario Jimenez, Ben Hatchwell, Andrew P. Beckerman, Dylan Z. Childs
Nest site selection is the principal way secondary cavity-nesting species mitigate the negative effects of factors such as predation, parasitism and exposure on productivity. High-quality cavities could then be expected to be selected in response to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::920d0f789d1a4dc9bfcc911c3433adc1
https://doi.org/10.1101/2023.01.10.523381
https://doi.org/10.1101/2023.01.10.523381
