Predicting into unknown space? Estimating the area of applicability of spatial prediction models
Abstract Machine learning algorithms have become very popular for spatial map** of the
environment due to their ability to fit nonlinear and complex relationships. However, this …
environment due to their ability to fit nonlinear and complex relationships. However, this …
Modelling palaeoecological time series using generalised additive models
GL Simpson - Frontiers in Ecology and Evolution, 2018 - frontiersin.org
In the absence of annual laminations, time series generated from lake sediments or other
similar stratigraphic sequences are irregularly spaced in time, which complicates formal …
similar stratigraphic sequences are irregularly spaced in time, which complicates formal …
Analytical guidelines to increase the value of community science data: An example using eBird data to estimate species distributions
Aim Ecological data collected by the general public are valuable for addressing a wide
range of ecological research and conservation planning, and there has been a rapid …
range of ecological research and conservation planning, and there has been a rapid …
Assessing and improving the transferability of current global spatial prediction models
Aim Global‐scale maps of the environment are an important source of information for
researchers and decision makers. Often, these maps are created by training machine …
researchers and decision makers. Often, these maps are created by training machine …
[HTML][HTML] High-throughput field phenoty** of soybean: Spotting an ideotype
Soybean is among the most important crops for food and feed production worldwide.
Sustainable and local production in regions with marginal climates requires cold-adapted …
Sustainable and local production in regions with marginal climates requires cold-adapted …
[PDF][PDF] Best practices for making reliable inferences from citizen science data: case study using eBird to estimate species distributions
Citizen science data are valuable for addressing a wide range of ecological research
questions, and there has been a rapid increase in the scope and volume of data available …
questions, and there has been a rapid increase in the scope and volume of data available …
Avian responses to extreme weather across functional traits and temporal scales
Extreme weather, including heat waves, droughts, and high rainfall, is becoming more
common and affecting a diversity of species and taxa. However, researchers lack a …
common and affecting a diversity of species and taxa. However, researchers lack a …
[HTML][HTML] Regression modeling for recurrent events possibly with an informative terminal event using R package reReg
Recurrent event analyses have found a wide range of applications in biomedicine, public
health, and engineering, among others, where study subjects may experience a sequence …
health, and engineering, among others, where study subjects may experience a sequence …
Multi‐site generalised dissimilarity modelling: Using zeta diversity to differentiate drivers of turnover in rare and widespread species
Generalised dissimilarity modelling (GDM) applies pairwise beta diversity as a measure of
species turnover with the purpose of explaining changes in species composition under …
species turnover with the purpose of explaining changes in species composition under …
Insights into source/sink controls on wood formation and photosynthesis from a stem chilling experiment in mature red maple
Whether sources or sinks control wood growth remains debated with a paucity of evidence
from mature trees in natural settings. Here, we altered carbon supply rate in stems of mature …
from mature trees in natural settings. Here, we altered carbon supply rate in stems of mature …