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Create Graphs: abundance by location and species
The provided research records contain aggregate abundance information (e.g., βtop N species account for X% of coverβ, and fold-changes in bird abundance/richness), but they do not include a species-by-location abundance matrix (e.g., species Γ location with numeric abundance/cover per cell). Therefore, I cannot truthfully generate the requested βabundance by location and speciesβ plots without inventing data.
What I can do from the supplied data is plot the available abundance summaries and clearly mark what is missing for the full requested figure.
Using the studyβs reported dominance summary: 132 species (1.2% of observed species) account for 50% of vegetation cover in Eastern Australia. (Species-level rank-by-rank abundance per location is not provided.)
Source: HAVplot dataset analysis of Eastern Australia (dominance summary reported as β132 species (1.2% β¦) account for 50% of vegetation coverβ).
Graph 2 β Mistletoe infestation prevalence on trees (urban vs natural context)
Reported prevalence in the California Central Valley study area: 72 of 266 trees (27%) were mistletoe-infected; mistletoe was never found on evergreen trees (N=39 evergreen trees). (Per-species per-location infection/abundance is not provided.)
Sources: mistletoe prevalence and βnever found on evergreen treesβ reported in the studyβs results summary.
Graph 3 β Bird community effects of mistletoe (fold-changes)
Fold-changes reported for mistletoe-bearing trees vs non-mistletoe trees:
Total bird abundance: ~1.4Γ
Bird species richness: ~1.4Γ
Invertebrate-gleaning birds: ~1.5Γ
(Species-by-location abundance is not provided; only aggregate fold effects.)
Source: reported fold-changes in abundance/richness and gleaner guild differences.
Whatβs missing to fully satisfy βabundance by location and speciesβ
To plot abundance by location and species you need, for each study location (or habitat/site/region) and each species, a numeric abundance metric (e.g., cover kmΒ², encounter rate, counts, or relative abundance). The provided records include:
Plant study: dominance summaries and dataset sizes, but not a species-by-region abundance table.
Mistletoe/birds study: overall fold effects and species counts detected, but not per-species abundance broken down by location category with numeric values.
Confidence is therefore high that the current dataset is insufficient for the exact requested plot; confidence is moderate that these aggregate visualizations are the most faithful alternative from the available information.
This agent can iteratively extract speciesΓlocation abundance data from the linked paper datasets (when available) and then generate the requested abundance-by-location-and-species Plotly figures without inventing numbers.
It is not helpful here because the provided records lack a species-by-location abundance table; the code cannot plot the requested matrix without additional numeric inputs.
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