Closed brettmelbourne closed 1 year ago
I'm interested
Si
interested
interested
Adding some relevant datasets/papers to this one: Veblen dataset - https://doi.org/10.6073/pasta/662c9312de7ff8365543b496b754e9fe. Recent paper using the Veblen dataset: https://doi.org/10.1139/cjfr-2019-0023
neon tree data - mapped stems etc described here: http://data.neonscience.org/documents/10179/1723439/NEON.DOC.000914vA/b21f8a50-2f1e-4261-8890-3f922fd78141
and the general diversity protocol - which presumably has plots both in the forest and tundra at neon described here: https://doi.org/10.1002/ecs2.2603
Interested
Good paper on the ground beetle sampling design (with some ideas for projects toward the end):
Hoekman, David, Katherine E. LeVan, George E. Ball, Robert A. Browne, Robert L. Davidson, Terry L. Erwin, C. Barry Knisley et al. "Design for ground beetle abundance and diversity sampling within the National Ecological Observatory Network." Ecosphere 8, no. 4 (2017): e01744. https://esajournals.onlinelibrary.wiley.com/doi/full/10.1002/ecs2.1744
Also relevant - if you haven't already worked this out most of the 'OS' products (e.g. stuff that is not sensors or aop) come with a user guide that gives a brief description of the parent-child relationships (subsetting), spatial and temporal frequency. http://data.neonscience.org/api/v0/documents/NEON_beetle_userGuide_vA I think it should also come with your data if you pick the 'expanded' option rather than 'basic' in your download.
Also relevant (and gets back to the mulitnomial observation model that @scelmendorf mentioned) is this recent paper, which provides a modeling framework for multispecies data under misclassification error that explicitly separates the presence/absence of each species, the activity level (expected count, given presence) of each species, and species misclassification probabiliites: https://doi.org/10.1111/2041-210X.13315
We could also probably think of some simpler quick and dirty approaches (e.g., focus on species that the parataxonomists can reliably identify).
Species distribution models of forest species