๐พThe poster sessions at #TIBS2026 are a great opportunity to exchange results and ideas, and to meet new people. We enjoy the interaction and atmosphere. And we will leave with a rich set of new ideas and connections.๐
#Biogeography #Macroecology #Biodiversity #CHELSA
@wslresearch.bsky.social
Kazakhstanโs ๐ฐ๐ฟ climate: temperature + precipitation in one map
Bivariate grid:
โ Right = warmer
โ Up = wetter
Hot & dry: Kyzylorda, Turkistan ๐๏ธ
Cool & wet: East Kazakhstan, Tien Shan ๐ง๏ธ
#Kazakhstan #ClimateData #BivariateMap #Temperature #Precipitation #DataViz #RStats #GIS #CHELSA #Geography
@clechartre.bsky.social reimplemented #BIOME4 into a modular, high-performance #Julia version, enabling 1 km vegetation modeling ๐ฑ and integration of #CHELSA climate datasets. ๐ฆ๏ธ We can now simulate biome patterns across complex terrains โฐ๏ธ and define biome boundaries with greater accuracy. ๐ฏ
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A side-by-side of ๐ซ๐ท #France and ๐ฎ๐น #Italy showing projected climate shifts under #SSP1-2.6 (mitigation) vs #SSP5-8.5 (high emissions).
Data from the #MPI-ESM1 model
Access the #BIOCLIM+ dataset:
๐ chelsa-climate.org/exchelsa-ext...
#ClimateData #RStats #BIOCLIM+ #CHELSA
๐ข To #Farmers, #Ecologists, #Policymakers & #Agribusiness:
New #CHELSA climate data is in! ๐บ๐ธ
๐ก๏ธ Hot & Dry (1-3): Drought risk
๐ง๏ธ Cool & Wet (3-1): Great for ๐
๐พ Moderate (2-2): Corn/soybean belt
๐ด Hot & Wet (3-3): High disease risk
๐บ๏ธ Zoom into your state for details!
#Climate #USA #GIS #Rstats
๐ซ๐ท Franceโs Climate Risks at a Glance ๐ดโช๐ต
Using high-res #CHELSA climate data, I mapped the alarming trends:
๐ก๏ธ Temps rising 2ร faster than global average
๐ง๏ธ Rainfall dropping, crops & soil at risk
Big thanks to @milos-makes-maps.bsky.social tut!
#ClimateEmergency #France #Sustainability #Rstats
#CHELSA has now entered its 15th year of development, and yesterday, I had the pleasure of presenting it at the #MeteoSwiss ๐จ๐ญ, Switzerlandโs national weather service. I really appreciated the insightful discussions and the open exchange on current and future challanges. @wsl-dme.bsky.social
Walter Jetz & @dirknkarger.bsky.social presented their work on โMountain Thermal Belts in a Changing #Climate.โ๐ค Using #CHELSA climate data on structuring the elevation belts of global #mountains by thermal belts anchored to the #alpine treeline has led to a new high-resolution (90m) dataset.โฐ๏ธ๐ฐ๏ธ๐ป
We are ready for the #WBF2024โฐ๏ธ๐ฑ๐
DME has arrived in #Davos to participate in @WorldBioForum workshops on #CHELSA, Global Mountain Biodiversity Assessment @GMBA_IPO, #AI & #SpeciesDistributionModels.
Curious? Come talk to @NEZimmermann_ @DirkNKarger @haozhi_ma @e_ebrahimi
Recent Article in @EcographyJourna highlights how #CHELSA tools improve the access and use of #climate projections for ecological research using the chelsa-cmip6 package. #Bioclimatic data can be created for any time period in #Python or #R.#wsl #eth
doi.org/10.1111/ecog.0โฆ
#WorldClim2 and #CHELSA http://chelsa-climate.org/ two competing global #climate datasets? Requires a thorough independent comparison https://twitter.com/frod_san/status/864433665731944449
#CHELSA - Climatologies at High Resolution for the Earthโs Land Surface Areas. Vortr. Dirk Karger @uzh_news http://uni-marburg.de/WJsmi