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micrclimate - Coggle Diagram
micrclimate
Predictors
LiDAR
Canopy :
heights, cover
leaf area index
vertical complexity index
plant area density or LAI (Gril et al 2023)
DEM
TWI
solar insolation
physiological parameter
biophysical
Elevation,
slope,
aspec
Optical RS
NDVI (Laslier et al 2023)
landscape edge effect
distance to
water bodies
Methods
Linear Mixed effect model
(Gril et al 2023)
possiblity get high
temporal resolution
statistical downscaling
Con: coarse temporal resolution
based on air temperature
linear regression
geostatistics
nested regression (Gril et al 2023)
temperature offset (Zelleweger et al 2019
De Frenne et al 2021)
Terminologies
mismatch
free air conditions
climate lag
solar radiation
temperature buffering
microrefugia
climate forcing factors
scale and temporal extent
(long-term averages is relevant for tree species)
process resolution
temperature amplification
Research gaps and
Questions
how can temporal trend in microclimate inform us about phenological changes
can microclimate mapping improve understand of habitat connectivity for biodversity (Lembrechts et al 20019)
how horiz and verti micriclimate affect biodiversity
microclimate variability and ecosystem function
Applications
SDMs
temp in Mt regions
forest ecosystem
growth modelling
habitat and microrefugia
wildfire control
Sources
data loggers
global climate
remote sensing
MODIS (Wan et al 2015)
portable infrared camera
Relevant authors
Lembrechts et al 2019
(on applications in SDM
both current and future)
George et al 2015
(on extrapolating to different
temporal resolution)
Gril et al 2023a; 2023b
on 2-stage modelling based on slope and equilibrium
Laslier et al 2023
Heasen et al 2021
(on forest cliamte for europe)