Environmental database for macroecology and SDM
Aug. 2020
[T] time period; [R] resolution (30 arcsec ≈ 1km)
WorldClim (v1, v2)
http://www.worldclim.org/
- widely used in SDM
- [T] 1970~2000, [R] 30 arcsec
- historical/current/future
https://worldclim.org/data/monthlywth.html
CHELSA (2017)
http://chelsa-climate.org/
- a new dataset of climate
- [T] 1979~2013, [R] 30 arcsec
- historical/current/future and time series (very interesting)
- can select specific months and models
--Monthly precipitation and temperature time series (CHELSA algorithm)
https://www.nature.com/articles/s41597-020-00587-y
- [T] 2006~2100, [R] 5km
MERRAclim (2017)
https://www.nature.com/articles/sdata201778
- new dataset for SDM (contains Antarctic continent)
- [T] 1980s~2000s, [R] 2.5 arcmin
MicroClim (2014)
http://microclim.org/
- data describe microclimates and vegetation for the past and the future
- [T] 1961~1990 & 1h,[R] ~0.3° (15 km)
- temperatures, wind speeds and soil temperatures for 1980-1999 and 2080-2099 at various heights, as well as soil temperatures at various depths and shade intensities
NASA Earth observation
https://neo.sci.gsfc.nasa.gov/
- mutiple remote sensing (Terra/MODIS) data (radiation, NPP, NDVI, land cover, snow cover & sea climate data...)
- [T] 2000s~now, [R] 0.1°
- can select specific month
Historical climate:
Paleoclimate data collection in Scientific Data
https://www.nature.com/collections/igihabcafh
https://www.nature.com/collections/igihabcafh?proof=trueJul
PaleoClim
https://www.nature.com/articles/sdata2018254?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+sdata%2Frss%2Fcurrent+%28Scientific+Data%29
- The availability of bioclimatic layers derived from climatic simulations representing conditions of the Late Pleistocene and Holocene has revolutionized the study of species responses to Late Quaternary climate change.
- [T] 3.3 to 0.787 million years ago, [R] ~5km
Climate-change velocity (Late Quaternary)
https://datadryad.org/resource/doi:10.5061/dryad.b13j1
- derived from the WorldClim (http://www.worldclim.org/, Hijmans et al. 2005) modern climate data, and the PMIPII (http://pmip2.lsce.ipsl.fr/) paleoclimate data for the CCSM3 and MIROC3.2 climate models
- [R] 24.122km
Others:
FAO GeoNetwork
www.fao.org/geonetwork/srv/en/main.home
- mutiple global datasets related to the climate and agriculture, like yearly actual evapotranspiration & irrigation maps
Global land cover
http://www.globallandcover.com/GLC30Download/index.aspx
- [T] 2010, [R] 30m
Anthromes (v2)
ecotope.org/anthromes/v2/
- [T] 1700, 1800, 1900 & 2000; [R] 5 arc
Terrestrial habitat types (IUCN 2015)
www.nature.com/articles/s41597-020-00599-8#Sec7
- [T] 2015; [R] ~100m/1km
EarthEnv
http://www.earthenv.org/
- multiple remote sensing data for biodiversity study (topography, habitat heterogeneity, consensus land cover, cloud cover climatology and freshwater environmental variables)
- topography ([R] 1km); habitat heterogeneity ([R] 30 arcsec); consensus land cover ([R] 30 arcsec); freshwater env. ([R] 1km)
Global Ecosystems
rmgsc.cr.usgs.gov/ecosystems/datadownload.shtml
Global mountain
https://ilias.unibe.ch/goto_ilias3_unibe_cat_1000515.html
rmgsc.cr.usgs.gov/gme/ (Global Mountain Explorer (GME))
GMBA mountain inventory
www.gmba.unibe.ch/services/tools/mountain_inventory
Global protected areas
https://www.protectedplanet.net/
Global forest and trees
https://glad.umd.edu/dataset/gfm/global-forest-monitoring-project
https://glad.umd.edu/dataset/global-2010-tree-cover-30-m
Global forest loss
http://earthenginepartners.appspot.com/science-2013-global-forest
- {T} 2000~now; [R] 30m
Global long-term land-use changes
https://glad.umd.edu/dataset/long-term-global-land-change
- [T] 1982-2016; [R] 0.05°
Global Human influence maps
https://onlinelibrary.wiley.com/doi/full/10.1111/gcb.15109
- [T] 2010s
Global Human Footprint (Geographic), v2
http://sedac.ciesin.columbia.edu/data/set/wildareas-v2-human-footprint-geographic/data-download
- [T] 1995~2004 [R] 30 arcsec
Global Wilderness
https://www.unep-wcmc.org/resources-and-data/global-wilderness
- the wilderness value of any given point is essentially a measure of remoteness from human influence (more integrated than human footprint)
- [T] 1998, [R] 30m
Global urban change
https://www.nature.com/articles/s41893-020-0521-x
- [T] 1985~2015 [R]
Geomorpho90m-Global High-Resolution Geomorphometric Layers
https://portal.opentopography.org/dataspace/dataset?opentopoID=OTDS.012020.4326.1
- [R] ~250m
Earthbyte (Geographical data)
https://www.earthbyte.org/
HydroATLAS
Global hydro-environmental sub-basin and river reach characteristics at high spatial resolution
https://www.nature.com/articles/s41597-019-0300-6
R packages for SDM
A curated list of R packages for species distribution modelling:
https://github.com/helixcn/sdm_r_packages
https://github.com/helixcn/sdm_r_packages