Variable importance in regression models
U Gröm** - Wiley interdisciplinary reviews: Computational …, 2015 - Wiley Online Library
Regression analysis is one of the most‐used statistical methods. Often part of the research
question is the identification of the most important regressors or an importance ranking of the …
question is the identification of the most important regressors or an importance ranking of the …
Quantitative reconstructions in palaeolimnology: new paradigm or sick science?
S Juggins - Quaternary Science Reviews, 2013 - Elsevier
Quantitative reconstructions from biological proxies have revolutionised palaeolimnology
but the methodology is not without problems. The most important of these result from …
but the methodology is not without problems. The most important of these result from …
Generalizing hierarchical and variation partitioning in multiple regression and canonical analyses using the rdacca.hp R package
Canonical analysis, a generalization of multiple regression to multiple‐response variables,
is widely used in ecology. Because these models often involve many parameters (one slope …
is widely used in ecology. Because these models often involve many parameters (one slope …
Spatial complementarity in tree crowns explains overyielding in species mixtures
Deciphering the mechanisms that link biodiversity with ecosystem functions is critical to
understanding the consequences of changes in biodiversity. The hypothesis that …
understanding the consequences of changes in biodiversity. The hypothesis that …
Global tree intrinsic water use efficiency is enhanced by increased atmospheric CO2 and modulated by climate and plant functional types
We conducted a meta-analysis of carbon and oxygen isotopes from tree ring chronologies
representing 34 species across 10 biomes to better understand the environmental drivers …
representing 34 species across 10 biomes to better understand the environmental drivers …
Five (or so) challenges for species distribution modelling
Species distribution modelling is central to both fundamental and applied research in
biogeography. Despite widespread use of models, there are still important conceptual …
biogeography. Despite widespread use of models, there are still important conceptual …
Human presence diminishes the importance of climate in driving fire activity across the United States
AD Syphard, JE Keeley, AH Pfaff… - Proceedings of the …, 2017 - pnas.org
Growing human and ecological costs due to increasing wildfire are an urgent concern in
policy and management, particularly given projections of worsening fire conditions under …
policy and management, particularly given projections of worsening fire conditions under …
Climate-driven variation in dispersal ability predicts responses to forest fragmentation in birds
Species sensitivity to forest fragmentation varies latitudinally, peaking in the tropics. A
prominent explanation for this pattern is that historical landscape disturbance at higher …
prominent explanation for this pattern is that historical landscape disturbance at higher …
Fish invasions in the world's river systems: when natural processes are blurred by human activities
Because species invasions are a principal driver of the human-induced biodiversity crisis,
the identification of the major determinants of global invasions is a prerequisite for adopting …
the identification of the major determinants of global invasions is a prerequisite for adopting …
Resource diversity and landscape-level homogeneity drive native bee foraging
Given widespread declines in pollinator communities and increasing global reliance on
pollinator-dependent crops, there is an acute need to develop a mechanistic understanding …
pollinator-dependent crops, there is an acute need to develop a mechanistic understanding …