REFERENCES
Blonder, B., Kapas, R.E., Dalton, R.M., Graae, B.J., Heiling, J.M., and
Opedal, Ø.H. (2018). Microenvironment and functional-trait context
dependence predict alpine plant community dynamics. J. Ecol. , 6,
1323-1337.
Brooker, R.W., Maestre, F.T., Callaway, R.M., Lortie, C.L., Cavieres,
L.A., Kunstler, G. et al . (2008). Facilitation in plant
communities: the past, the present, and the future. J. Ecol., 96,
18-34.
Carey, S., Harte, J., and del Moral, R. (2006). Effect of community
assembly and primary succession on the species-area relationship in
disturbed ecosystems. Ecography , 29, 866-872.
Harte, J. (2011). Maximum Entropy and Ecology. A Theory of
Abundance, Distribution, and Energetics . Oxford University Press, New
York.
Harte, J., Kitzes, J., Newman, E.A. and Rominger, A.J. (2013). Taxon
Categories and the Universal Species-Area Relationship. Am. Nat.,181, 282-287.
Harte, J., and Newman, E.A. (2014). Maximum information entropy: a
foundation for ecological theory. Trends Ecol. Evol. , 29,
384-389.
Harte, J., Rominger, A.J., and Newman, E.A. (2017). Metabolic
Partitioning across Individuals in Ecological Communities. Glob.
Ecol. Biogeogr., 26, 993-997.
Harte, J., Smith, A.B., and Storch, D. (2009). Biodiversity scales from
plots to biomes with a universal species-area curve. Ecol. Lett.,12, 789–797.
Harte, J., Zillio, T., Conlisk, E., and Smith, A.B. (2008). Maximum
entropy and the state-variable approach to macroecology. Ecology,89, 2700–2711.
Jia, X., Dai, X., Shen, Z., Zhang, J., and Wang, G. (2011). Facilitation
can maintain clustered spatial pattern of plant populations during
density-dependent mortality: insights from a zone-of-influence model.Oikos, 120, 472-480.
Kempton, R.A. and Taylor, L.R. (1974). Log-series and log-normal
parameters as diversity discriminants for the Lepidoptera. J.
Anim. Ecol., 43, 381-399.
Newman, E.A. (2019). Disturbance Ecology in the Anthropocene.Front. Ecol. Evol. , 7, 147.
Newman, E.A., Wilber, M.Q., Kopper, K.E., Moritz, M.A., Falk, D.A.,
McKenzie, D. et al . (2020). Disturbance macroecology: a
comparative study of community structure metrics in a high severity
disturbance regime. Ecosphere, 11, e03022.
Ray, C.A., Kapas, R.E., Opedal, Ø.H., and Blonder, B. Microenvironment
modification drives species interactions and demography in an alpine
plant community. In Prep.
Rominger, A.J, Goodman, K.R., Lim, J.Y., Armstrong, E.E., Becking, L.E.,
Bennett, G.M. et al. (2015). Community assembly on isolated
islands: macroecology meets evolution. Glob. Ecol. Biogeogr. , 25,
769-780.
Supp, S.R., Xiao, X., Ernest, S.K.M., and White, E.P. (2012). An
experimental test of the response of macroecological patterns to altered
species interactions. Ecology, 93, 2505-2511.
White, E.P., Thibault, K.M., and Xiao, X. (2012). Characterizing species
abundance distributions across taxa and ecosystems using a simple
maximum entropy model. Ecology , 98, 1772-1778.
Williams, A.P., Cook, E.R., Smerdon, J.E., Cook, B.I., Abatzoglou, J.T.,
Bolles, K. et al . (2020). Large contribution from anthropogenic
warming to an emerging North American megadrought. Science, 368,
314-318.
Xiao, X., McGlinn, D.J., and White, E.P. (2015). A strong test of the
maximum entropy theory of ecology. Ecology. 185, 70-80.