Good alternatives to WorldClim 2.1?

[Marcelo Lima]

Hi folks,

unfortunately most of my Bio layers from WorldClim 2.1 have an annoying error, like a problem with tile processing or something like that (see below). This just messes up with model so I've decided to use an alternative to that. Any ideas, please? 

It's very frustrating!

cheers

Marcelo

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Dr Marcelo Gonçalves de Lima

(views are mine)

Wildlife Trust BCN Nature Recovery Network Coordinator

Girton Parish councillor

Research Fellow - Center for Large Landscape Conservation

Cambridge Conservation Forum - Connectivity Conservation Work Group Chair

IUCN - WCPA member/Connectivity Conservation Specialist Group - Uk and Brazil Lead

IUCN - CEM member

ARPA - Amazon Region Protected Areas Programme Scientific Advisor

Biologist, PhD in Ecology

https://www.linkedin.com/in/marcelo-gon%C3%A7alves-de-lima-35b3ba20/

[Bede-Fazekas Ákos]

Hello Marcelo,
Some of the alternatives are CliMond, MerraClim, Envirem and Chelsa.
Or you can download the raw monthly variables (I hope these are continuous and not showing any tiling errors) and calculate the bioclimatic variables.
HTH,
Ákos
______
Ákos Bede-Fazekas
Centre for Ecological Research, Hungary

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[Marcelo Lima]

Hi Ákos, thanks. I will look into that. The calculating variables sounds interesting. Would you have any reference on how to do that? Is it basically using Raster Calculator?

Cheers

Marcelo

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[Bede-Fazekas Ákos]

Hi Marcelo,
it depends on the software you use. Please refer to this publication and the references therein:
https://www.researchgate.net/publication/344427308_The_way_bioclimatic_variables_are_calculated_has_impact_on_potential_distribution_models
"Many implemented algorithms for calculation of BCVs are available in different computing environments (R—Hijmans et al., 2016; Ramirez, 2009; VanDerWal et al., 2014; ANUCLIM—Xu & Hutchinson, 2011; ESRI ArcGIS—Hijmans, 2006; GRASS GIS—Metz, 2016; DIVA-GIS—Hijmans et al., 2012)."
I recommend R, it has several packages/functions to calculate bioclimatic variables, or you can use the supplementary script of the abovementioned article as well.
Have a nice day,

Ákos
______
Ákos Bede-Fazekas
Centre for Ecological Research, Hungary

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[Marcelo Lima]

Thanks Ákos!

I'm completely useless with R so will try ArcGis

Cheers, have a nice day too

Marcelo

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