L’application des méthodes de modélisation de niches écologiques aux données archéologiques afin d’examiner les relations culture-environnement et les trajectoires culturelles

Abstract

Electronic referenceWilliam E. Banks, « The application of ecological niche modeling methods to archaeological data in order to examine culture-environment relationships and cultural trajectories », Quaternaire [Online], vol.

Reconstructing the climatic niche breadth of land use for animal production during the African Holocene

“…LandUse6k: Morrison, Gaillard, Madella, Whitehouse, & Hammer, ), and use of niche‐based species distribution modelling (Guisan, Thuiller, & Zimmermann, ) in the archaeological context (e.g. Banks, ; Conolly, Manning, Colledge, Dobney, & Shennan, ; Lorenzen et al, ) has increased. Yet even in these efforts, analyses of land use ecology are rarely incorporated into spatial estimates of land use change, albeit see Manning and Timpson () for demographic distributions.…”

Niches and radiations: a case study on the Andean sapphire‐vented puffleg Eriocnemis luciani and coppery‐naped puffleg E. sapphiropygia (Aves, Trochilidae)

“…The quality of the geographic coordinates of the localities varied from the actual GPS coordinates of the location where the specimen was collected to the coordinates of the nearest town listed on the specimen labels. Soil type and geology have been successfully used in ENMs for Andean flying vertebrates (Ramoni-Perazzi et al 2012, 2017, and possibly reflect deep ecological and historical constraints. Loadings for the principal component analysis performed on 19 bioclimatic variables and elevation data extracted from the Climatologies at High resolution for the Earth's Land Surface Areas (CHELSA ver.…”

“…The continuous bioclimatic and elevational variables have been widely used in ENMs for birds, particularly hummingbirds (Lozano-Jaramillo et al 2014, Sonne et al 2016, Ramoni-Perazzi et al 2017, Sornoza-Molina et al 2018, and likely reflect the meaningful environmental conditions to which they are exposed and by which their physiology is constrained. Soil type and geology have been successfully used in ENMs for Andean flying vertebrates (Ramoni-Perazzi et al 2012, 2017, and possibly reflect deep ecological and historical constraints. For example, bird assemblages composition can respond to soil variations (Myers et al 2015), and it is reasonable to expect that such an influence is strong in nectarivorous birds, since soil characteristics have an effect not only on both the yield and sugar concentration of nectar (Kenoyer 1917, Shuel and Shivas 1953, Robacker et al 1983, Farkas et al 2012, Nickless et al 2017) but also on floral traits (Paiaro et al 2012), shaping the plant-pollinator interactions (Meindl et al 2013), and even constituting an important evolutionary force for plants , Yost et al 2012, Rajakaruna 2018).…”

“…The interplay between the conservatism and divergence of niches in shaping lineage differentiation is far from completely understood (Pyron and Burbrink 2009, Peterson 2011, Hu et al 2015, despite its relevance for forecasting changes in biodiversity under changing environmental conditions or invasion risks (Hadly et al 2009, Hortal et al 2011, Lavergne et al 2013, Torres et al 2018. The use of ENMs has become instrumental in recent years (Lobo et al 2010) and is applied in a wide range of fields, such as those pertaining to geographic distributions (Ramoni-Perazzi et al 2012, 2017, past and potential future distributions in response to climate change (Dyderski et al 2018, Simpson et al 2018, Warren et al 2018, species invasions (Lins et al 2018, Oliveira et al 2018, diseases and agricultural pest organisms (Carmona-Castro et al 2018, Carvajal et al 2019, Marchioro and Krechemer 2018, biodiversity conservation priorities (Bonfim et al 2018), and even archaeology (Banks 2017, d'Errico et al 2017. The use of ENMs has become instrumental in recent years (Lobo et al 2010) and is applied in a wide range of fields, such as those pertaining to geographic distributions (Ramoni-Perazzi et al 2012, 2017, past and potential future distributions in response to climate change (Dyderski et al 2018, Simpson et al 2018, Warren et al 2018, species invasions (Lins et al 2018, Oliveira et al 2018, diseases and agricultural pest organisms (Carmona-Castro et al 2018, Carvajal et al 2019…”

“…Environmental niche models (hereafter ENMs) are predictions of species distributions in geographic space (hereafter G-space) that use computer algorithms and mathematical representations of the species' known distribution in environmental space (hereafter E-space; Leathwick 2009, Peterson 2011). The use of ENMs has become instrumental in recent years (Lobo et al 2010) and is applied in a wide range of fields, such as those pertaining to geographic distributions (Ramoni-Perazzi et al 2012, 2017, past and potential future distributions in response to climate change (Dyderski et al 2018, Simpson et al 2018, Warren et al 2018, species invasions (Lins et al 2018, Oliveira et al 2018, diseases and agricultural pest organisms (Carmona-Castro et al 2018, Carvajal et al 2019, Marchioro and Krechemer 2018, biodiversity conservation priorities (Bonfim et al 2018), and even archaeology (Banks 2017, d'Errico et al 2017. ENMs have been combined with multivariate analyses of the E-space (Broennimann et al 2012), reviving the interest in ecological niches (Kozak et al 2006, Warren et al 2008, McCormack et al 2010, Peterson 2011.…”