Obvio we'll not organise around organisms.... but pulling together the 'lists' hanging about in the MS
biodiversity becomes a structured value,
connectivity is enumerated and tied to stability,
indirect effects (motifs!) become apparent/important,
secondary extinctions become measurable,
community/biodiversity responses become measurable.
+
‘recover’ food webs that have since gone extinct ([Jennifer A. Dunne et al. 2008], using pairwise interactions to understand species distributions
or even co-extinction risk
interrogate some of the more high-level mechanisms that are structuring networks (Box 1).
+
generate a series of networks to do some extinction simulations/bioenergetic stuff
are we looking for a ‘final product’ network that is relevant to a specific location? (this can still be broad in geographic scope).
An alternative might be another 'figure'. See https://www.cell.com/trends/ecology-evolution/abstract/S0169-5347(10)00216-8 Fig 1 where we built a pinwheel of example organisms tied to adaptations, questions, next-gen sequencing methods to answer them, and results...
Obvio we'll not organise around organisms.... but pulling together the 'lists' hanging about in the MS
biodiversity becomes a structured value, connectivity is enumerated and tied to stability, indirect effects (motifs!) become apparent/important, secondary extinctions become measurable, community/biodiversity responses become measurable.
+
‘recover’ food webs that have since gone extinct ([Jennifer A. Dunne et al. 2008], using pairwise interactions to understand species distributions or even co-extinction risk interrogate some of the more high-level mechanisms that are structuring networks (Box 1).
+
generate a series of networks to do some extinction simulations/bioenergetic stuff are we looking for a ‘final product’ network that is relevant to a specific location? (this can still be broad in geographic scope).