Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Giovanni POGGIATO"'
Publikováno v:
Methods in Ecology and Evolution, Vol 14, Iss 10, Pp 2680-2696 (2023)
Abstract Predicting community‐level trait indices, such as community‐weighted mean or functional dispersion, in space or time, is crucial, as they are markers of ecosystem functions, proxies for ecosystem services, and are now integral part of co
Externí odkaz:
https://doaj.org/article/3ce655fe571443688f9c4a8b2c1d130e
Autor:
Daria Bystrova, Giovanni Poggiato, Billur Bektaş, Julyan Arbel, James S. Clark, Alessandra Guglielmi, Wilfried Thuiller
Publikováno v:
Frontiers in Ecology and Evolution, Vol 9 (2021)
Modeling species distributions over space and time is one of the major research topics in both ecology and conservation biology. Joint Species Distribution models (JSDMs) have recently been introduced as a tool to better model community data, by infe
Externí odkaz:
https://doaj.org/article/f9a95abc40ba44e4803e96e7a9e8ab08
Autor:
Giovanni Poggiato, Pierre Gaüzere, Camille Martinez‐Almoyna, Gabrielle Deschamps, Julien Renaud, Cyrille Violle, Tamara Münkemüller, Wilfried Thuiller
Publikováno v:
Global Ecology and Biogeography.
Biotic interactions drive multitrophic species community assembly. Yet, explicitly incorporating this process in species distribution models (SDMs) is particularly challenging, even when biotic interactions are known. Here, we propose a framework tha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::550fd9bdbf1758b8c4860abf7fd73cf8
https://doi.org/10.22541/au.166853394.45823739/v1
https://doi.org/10.22541/au.166853394.45823739/v1
Autor:
Giovanni Poggiato
Simulated communities for publication 'Integrating trophic food webs in species distribution models improves ecological niche estimation and prediction' by Giovanni Poggiato, Jérémy Andréoletti, Laura Pollock and Wilfried Thuiller. Data can be rep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7127cb0659342079bf291aa290f6d5bd
Novel methods to correct for observer and sampling bias in presence‐only species distribution models
Autor:
Daria Bystrova, Yohann Chauvier, Wilfried Thuiller, Niklaus E. Zimmermann, Philipp Georg Brun, Giovanni Poggiato
Publikováno v:
Global Ecology and Biogeography. 30:2312-2325
Publikováno v:
Approches statistiques pour les variables cachées en écologie ISBN: 9781789480474
Nous présentons les modèles à facteurs latents dans le contexte des modèles de distribution joints d'espèces (JSDM), en soulignant leur utilité en écologie des communautés. Ces modèles permettent de faire face à la grande dimension des donn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8329e02188c86c9ad5b55cba920ac6b
https://doi.org/10.51926/iste.9047.ch7
https://doi.org/10.51926/iste.9047.ch7
Autor:
Wilfried Thuiller, Daria Bystrova, James S. Clark, Giovanni Poggiato, Julyan Arbel, Tamara Münkemüller
Publikováno v:
Trends in Ecology and Evolution
Trends in Ecology and Evolution, 2021, 36 (5), pp.391-401. ⟨10.1016/j.tree.2021.01.002⟩
Trends in Ecology and Evolution, Elsevier, 2021, 36 (5), pp.391-401. ⟨10.1016/j.tree.2021.01.002⟩
Trends in Ecology and Evolution, 2021, 36 (5), pp.391-401. ⟨10.1016/j.tree.2021.01.002⟩
Trends in Ecology and Evolution, Elsevier, 2021, 36 (5), pp.391-401. ⟨10.1016/j.tree.2021.01.002⟩
International audience; Explaining and modelling species communities is more than ever a central goal of ecology. Recently, joint species distribution models (JSDMs), which extend species distribution models (SDMs) by considering correlations among s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19a523e0e071a30060fba1ddbb90d307
https://hal.science/hal-03153558/document
https://hal.science/hal-03153558/document
Autor:
Pierre Gaüzère, Louise O’Connor, Christophe Botella, Giovanni Poggiato, Tamara Münkemüller, Laura J. Pollock, Ulrich Brose, Luigi Maiorano, Michael Harfoot, Wilfried Thuiller
Publikováno v:
Current Biology. 32:2093-2100.e3
Taxonomic, functional, and phylogenetic diversities are important facets of biodiversity. Studying them together has improved our understanding of community dynamics, ecosystem functioning, and conservation values.