trias-project / unified-checklist

🇧🇪 Global Register of Introduced and Invasive Species - Belgium
https://trias-project.github.io/unified-checklist/
MIT License
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Species native in one Belgian region, but not in another #49

Open timadriaens opened 4 years ago

timadriaens commented 4 years ago

A problem (already raised in #32) arising from including regional distributions in the unified checklist (see #45 and #43) is that eventually, species that have been introduced in one region but are native in another, are included in the checklist of alien species of Belgium. I think it would be best to not include those in the unified? Some examples are

@damianooldoni @peterdesmet We should decide what to do with such cases, because it is strange they appear on a Belgian alien species checklist.

damianooldoni commented 4 years ago

I understand your point, @timadriaens. About the examples you mention:

I think that the unified checklist, which is published as the Global Register of Introduced and Invasive Species - Belgium, should contain only taxa which are alien in all Belgium. As written in checklist's general description on GBIF:

It contains information on 2,500+ validated non-native taxa in Belgium.

As Belgium = Flanders + Brussels + Wallonia, I read the sentence above as follows: non-native in Belgium = non-native in Flanders AND non-native in Brussels AND non-native in Wallonia

Or logically speaking with symbols: the function _nonnativity is a AND function with respect to sum:

non_nativity(a+b) = non_nativity(a) AND non_nativity(b)

The other interpretation, where the function _nonnativity is a OR function with respect to sum:

non_nativity(a+b) = non_nativity(a) OR non_nativity(b)

sounds me quite strange and can arise cases as mentioned by @timadriaens above. The problem is that sometimes the error is at checklist level (see example 1) so we start with wrong information.

timadriaens commented 4 years ago

I agree that for the unified checklist of Belgium we only have to consider species that are non-native in all regions (so the and-function). Some species are non-native to Belgium and have only been recorded in one region, sometimes the only thing we know is that it's non-native to Belgium and we don't have regional information. On the other hand, if it is present in one region, it is also present in Belgium of course.

scientific name ... location country code occurrence status date first observation date last observation degree of establishment
scientific name ... Flanders BE present 2008 2012 reproducing
scientific name ... Wallonia BE present 2012   reproducing
scientific name ... Wallonia BE present 2012   reproducing

In fact the RINSE checklist is correct because the working area of that project was entirely in Flanders in that case. And the add hoc for Natrix is also correct as the species IS non-native but only in Flanders... So in order for the AND function to work properly the regional distribution should be filled for all the species? Which means we have to triplicate every record?

damianooldoni commented 4 years ago

As the problem of these two species comes back while discussing indicators, this problem, already theoretically important, becomes in practice also relevant, and therefore should be solved. The solution, I think, is adding the DwC term establishmentMeans with value native for Wallonia in the checklist distribution. @timadriaens , @peterdesmet , @qgroom , what do you think about it?

timadriaens commented 4 years ago

yes, that should do it I think.