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  • $\begingroup$ Preference means whether a species prefers a certain management style? What is SOORTCODE? For those who don't work with the tidyverse much, showing how the resulting data (including size, no idea how many raster cells there are) look like would help. Standard errors and p-values can be high because of low effective sample size, but I can't tell easily. $\endgroup$ Commented 15 hours ago
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    $\begingroup$ Please edit the question with your helpful new comments. An edited question is easier to read (and easier to edit too). $\endgroup$ Commented 14 hours ago
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    $\begingroup$ One issue that is apparent to me (but I am not an ecologist) is that you seem to be modelling probability of presence with absent species contributing just a single failed trial. This should probably be some kind of rate instead, with either the species count per area or the probability of finding a species every time a study area was surveyed as response. $\endgroup$ Commented 14 hours ago
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    $\begingroup$ Any reason why glm_per_species doesn't use Code? If Code makes a difference (and management isn't strictly nested within it, not sure whether that's the case) I think it should be taken into account also at species level. Note further that any modelling that doesn't use spatial information will ignore potential dependences from the neighbourhood structure of raster cells. Furthermore, there may be interactions between species, which are ignored if you model a single species separately. (I'm not saying all this can be incorporated easily...) $\endgroup$ Commented 13 hours ago
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    $\begingroup$ Information on number of raster cells is still missing as far as I can see. The distribution of management styles may also be informative as the power that any test can have may depend on it. Furthermore I don't quite understand why you think reducing abundance information to presence/absence is appropriate and useful. $\endgroup$ Commented 13 hours ago