Understanding what drives the large-scale pattern of biodiversity is the vital part of macroecology and conservation. The basis of this study is obtaining high-quality data of abiotic /biotic variables. Nowadays, we are in the big-data era, there are a lot of resources for available data. However, the quality and resolution of these data are uneven which may let many novices feel confused. Therefore, we could discuss this topic here.
DON"T HESITATE TO POST RESOURCES of these HIGH QUALITY and OPEN ACCESS data that you know. Please also provide its time period and resolution.
I wrote a list of several resources on my website that I have knew until now for reference:
https://runxiwang.weebly.com/resources.html
Here are some example:
WorldClim (v1, v2): http://www.worldclim.org/
- widely used in SDM
- [T] 1970~2000, [R] 30 arcsec
- historical/current/future
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
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)
These variables have a direct and indirect effect on any biological diversity
This is a fact that is not discussed------
DON"T HESITATE TO POST RESOURCES of these HIGH QUALITY and OPEN ACCESS data that you know. Please also provide its time period and resolution.
I wrote a list of several resources on my website that I have knew until now for reference:https://runxiwang.weebly.com/resources.html
Here are some example:WorldClim (v1, v2): http://www.worldclim.org/
- widely used in SDM
- [T] 1970~2000, [R] 30 arcsec
- historical/current/future
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
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)
These variables have a direct and indirect effect on any biological diversity
This is a fact that is not discussed------
Actually, for the direct/indirect effects of variables on biodiversity, there are several studies have already provided some perspectives (with the help of path model) Tariq Almaliky ：
- Belmaker, J., & Jetz, W. (2015). Relative roles of ecological and energetic constraints, diversification rates and region history on global species richness gradients. Ecology Letters, 18(6), 563-571.
- Cai, T., Fjeldså, J., Wu, Y., Shao, S., Chen, Y., Quan, Q., ... & Lei, F. (2018). What makes the Sino‐Himalayan mountains the major diversity hotspots for pheasants?. Journal of Biogeography, 45(3), 640-651.
But still needs more discussions.
Article Energy determines broad pattern of plant distribution in Wes...
Please refer supplementary data of this link for data availability details and their application in ecological studies. I have attached the exact file for your reference.
This technical report has a lovely appendix listing a plethora, yes I said plethora, of available datasets you may be interested in. Technical Report Conservation Technology Series Issue 4: SATELLITE REMOTE SEN...
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