Population Dynamics of the Exotic Flatworm Obama nungara in an Invaded Garden by Shanèze Noël, Yoan Fourcade, Virginie Roy, Georges Bonnet, Lise Dupont

“…Daily monitoring data revealed high population size fluctuations that may be explained by meteorological factors as well as intra‐ and inter‐specific interactions. Bayesian modeling confirmed that O. nungara's abundance fluctuates depending on temperature, humidity, and precipitation. …”
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Frugivore Traits Predict Plant–Frugivore Interactions Using Generalized Joint Attribute Modeling by Laurel R. Yohe, Leith B. Leiser‐Miller, Zofia A. Kaliszewska, Susan R. Whitehead, Sharlene E. Santana, Liliana M. Dávalos

“…We used generalized joint attribute modeling (GJAM), a Bayesian modeling approach that simultaneously accounts for multiple sources of variance across trait types. …”
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Multiple Dimensions Define Thresholds for Population Resilience of the Eastern Oyster, Crassostrea virginica by Megan K. La Peyre, Hongqing Wang, Shaye E. Sable, Wei Wu, Bin Li, Devin Comba, Carlos Perez, Melanie Bates, Lauren M. Swam

“…Two statistical approaches were applied, with each model highlighting a different operational definition of a threshold: random forest models identified a threshold as an abrupt change in the oyster abundance‐ salinity relationship, while Bayesian models identified an increased probability of oyster abundance dropping below a critical threshold, defined here as less than 50% of the 5‐year mean. …”
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What motivates West African cocoa farmers to value trees? Taking the 4 W approach to the heart of the field by Marie Ruth Dago, Irié Casimir Zo‐Bi, Isaac Kouamé Konan, Aimé Kouadio Kouassi, Stéphane Guei, Patrick Jagoret, Anny Estelle N'Guessan, Elsa Sanial, Chloé Tankam, Soulemane Traoré, Bruno Hérault

“…Drawing from a sample of 150 farmers responsible for the management of 12,096 trees, we quantified the motivations of farmers for 10 material and immaterial uses of trees and used a Bayesian modelling framework to explore the relative importance of the 4 W framework in explaining general motivations, specific to each use, as well as the varying levels of specialization in tree management strategies among farmers. …”
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Assessing national exposure to and impact of glacial lake outburst floods considering uncertainty under data sparsity by H. Chen, Q. Liang, J. Zhao, S. B. Maharjan

“…In the innovative framework, multi-temporal imagery is utilised with a random forest model to extract glacial lake water surfaces. Bayesian models are employed to estimate a plausible range of glacial lake water volumes and the associated GLOF peak discharges while accounting for the uncertainty stemming from the limited sizes of the available data and outliers within the data. …”
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Bayesian Estimation of the True Bovine Brucellosis Prevalence in Vaccinated and Non-Vaccinated Ecuadorian Cattle Populations, and the Sensitivity and Specificity of a Competitive a... by Ana Dolores Garrido Haro, Margoth Yolanda Barrionuevo Samaniego, Paola Moreno-Caballeros, Alexandra Burbano-Enríquez, Verónica Alexandra Salas Torres, María Cristina Galante Mulki, Constance Wielick, Jorge Ron-Román, Claude Saegerman

“…The Se of both tests was similar across Bayesian models, with values around 94%. In contrast, the Sp of the iELISA, ranging between 97 and 98%, was significantly higher than that of the cELISA, which was approximately 94–95%. …”
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