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M. Yoon Chung, Nason, J., Chung, M. Gi, Kim, K. - J., Park, C. - W., Sun, B. - Y., and Pak, J. - H., “Landscape-level spatial genetic structure in Quercus acutissima (Fagaceae)”, American Journal of Botany, vol. 89, no. 8, pp. 1229-1236, 2002.
D. Allen McGranahan, Engle, D. M., Mulloy, J. T., Miller, J. R., and Debinski, D. M., “Land‐use history and an invasive grass affect tallgrass prairie sedge community composition”, Applied Vegetation Science, vol. 18, no. 2, pp. 209-219, 2015.
W. Huang and Hall, S. J., “Large impacts of small methane fluxes on carbon isotope values of soil respiration”, Soil Biology and Biochemistry, vol. 124, pp. 126-133, 2018.
Z. Yu, Lu, C., Tian, H., and Canadell, J. G., “Largely underestimated carbon emission from land use and land cover change in the conterminous US”, Global change biology, 2019.
R. L. Small, Cronn, R. C., and Wendel, J. F., “LAS Johnson Review No. 2. Use of nuclear genes for phylogeny reconstruction in plants”, Australian Systematic Botany, vol. 17, no. 2, pp. 145-170, 2004.
B. J. Wilsey and Saloniemi, I., “Leaf fluctuating asymmetry in tree-line mountain birches, Betula pubescens ssp. tortuosa: genetic or environmentally influenced?”, Oikos, pp. 341-345, 1999.
B. J. Wilsey, Haukioja, E., Koricheva, J., and Sulkinoja, M., “Leaf fluctuating asymmetry increases with hybridization and elevation in tree-line birches”, Ecology, vol. 79, no. 6, pp. 2092-2099, 1998.
J. Firn, McGree, J. M., Harvey, E., Flores-Moreno, H., Schütz, M., Buckley, Y. M., Borer, E. T., Seabloom, E. W., La Pierre, K. J., and MacDougall, A. M., “Leaf nutrients, not specific leaf area, are consistent indicators of elevated nutrient inputs”, Nature Ecology & Evolution, p. 1, 2019.
T. J. Gallaher, Adams, D. C., Attigala, L., Burke, S. V., Craine, J. M., Duvall, M. R., Klahs, P. C., Sherratt, E., Wysocki, W. P., and Clark, L. G., “Leaf shape and size tracks habitat transitions across forest‐grassland boundaries in the grass family (Poaceae)”, Evolution, 2019.
J. E. Coate, Buggs, R. J. A., Wendel, J. F., Doyle, J. J., Soltis, D. E., and Soltis, P. S., “The legacy of diploid progenitors in allopolyploid gene”, 2014.
R. J. A. Buggs, Wendel, J. F., Doyle, J. J., Soltis, D. E., Soltis, P. S., and Coate, J. E., “The legacy of diploid progenitors in allopolyploid gene expression patterns”, Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 369, no. 1648, p. 20130354, 2014.
M. A. Condon, Scheffer, S. J., Lewis, M. L., Wharton, R., Adams, D. C., and Forbes, A. A., “Lethal interactions between parasites and prey increase niche diversity in a tropical community”, Science, vol. 343, no. 6176, pp. 1240-1244, 2014.
J. D. Nason and Ellstrand, N. C., “Lifetime estimates of biparental inbreeding depression in the self-incompatible annual plant Raphanus sativus”, Evolution, pp. 307-316, 1995.
E. Öckinger, Schweiger, O., Crist, T. O., Debinski, D. M., Krauss, J., Kuussaari, M., Petersen, J. D., Pöyry, J., Settele, J., and Summerville, K. S., “Life‐history traits predict species responses to habitat area and isolation: a cross‐continental synthesis”, Ecology letters, vol. 13, no. 8, pp. 969-979, 2010.
J. W. Raich, Russell, A. E., and Bedoya-Arrieta, R., “Lignin and enhanced litter turnover in tree plantations of lowland Costa Rica”, Forest ecology and management, vol. 239, no. 1, pp. 128-135, 2007.
K. A. Suiter, Wendel, J. F., and J Case, S., “LINKAGE-1: a PASCAL computer program for the detection and analysis of genetic linkage”, Journal of Heredity, vol. 74, no. 3, pp. 203-204, 1983.
E. C. Fricke, Tewksbury, J. J., and Rogers, H. S., “Linking intra‐specific trait variation and plant function: seed size mediates performance tradeoffs within species”, Oikos, 2019.
J. D. Davis, Debinski, D. M., and Danielson, B. J., “Local and landscape effects on the butterfly community in fragmented Midwest USA prairie habitats”, Landscape Ecology, vol. 22, no. 9, pp. 1341-1354, 2007.
D. C. Adams, West, M. E., and Collyer, M. L., “Location‐specific sympatric morphological divergence as a possible response to species interactions in West Virginia Plethodon salamander communities”, Journal of Animal Ecology, vol. 76, no. 2, pp. 289-295, 2007.
J. F. Wendel, Lisch, D., Hu, G., and Mason, A. S., “The long and short of doubling down: polyploidy, epigenetics, and the temporal dynamics of genome fractionation”, Current Opinion in Genetics & Development, vol. 49, pp. 1-7, 2018.
D. Debinski and Kindscher, K., “Long-Term Monitoring of Montane Meadow Biodiversity in the Greater Yellowstone Ecosystem”, University of Wyoming National Park Service Research Center Annual Report, vol. 25, no. 1, pp. 140-143, 2001.
M. L. Pace, ,, and Wilkinson, G. M., “Long‐term studies and reproducibility: Lessons from whole‐lake experiments”, Limnology and Oceanography, 2018.
Z. Yu, Lu, C., Cao, P., and Tian, H., “Long‐term terrestrial carbon dynamics in the Midwestern United States during 1850‐2015: Roles of land use and cover change and agricultural management”, Global change biology, 2018.
R. L. Small, Ryburn, J. A., and Wendel, J. F., “Low levels of nucleotide diversity at homoeologous Adh loci in allotetraploid cotton (Gossypium L.).”, Molecular biology and evolution, vol. 16, no. 4, pp. 491-501, 1999.
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E. K. Baken and Adams, D. C., “Macroevolution of arboreality in salamanders”, Ecology and Evolution, 2019.
E. Sherratt, Adams, D. C., and Serb, J. M., “Macroevolution, phylomorphospace and directional evolution in recessing scallops”, INTEGRATIVE AND COMPARATIVE BIOLOGY, vol. 55. OXFORD UNIV PRESS INC JOURNALS DEPT, 2001 EVANS RD, CARY, NC 27513 USA, pp. E166-E166, 2015.
R. Hovav, Udall, J. A., Hovav, E., Rapp, R., Flagel, L., and Wendel, J. F., “A majority of cotton genes are expressed in single-celled fiber”, Planta, vol. 227, no. 2, pp. 319-329, 2008.
J. W. Raich and Christensen, N. L., “Malaysian dipterocarp forest: tree seedling and sapling species composition and small-scale disturbance patterns”, National Geographic research (USA), 1989.
J. L. Conover, Karimi, N., Stenz, N., Ané, C., Grover, C. E., Skema, C., Tate, J. A., Wolff, K., Logan, S. A., and Wendel, J. F., “A Malvaceae mystery: A mallow maelstrom of genome multiplications and maybe misleading methods?”, Journal of Integrative Plant Biology, 2018.
J. M. Jandt, Suryanarayanan, S., Hermanson, J. C., Jeanne, R. L., and Toth, A. L., “Maternal and nourishment factors interact to influence offspring developmental trajectories in social wasps”, Proc. R. Soc. B, vol. 284, no. 1857. The Royal Society, p. 20170651, 2017.
H. S. Rogers and Fricke, E. C., “Maternal microbes complicate coexistence for tropical trees”, Proceedings of the National Academy of Sciences, p. 201902736, 2019.
C. Ye and Hall, S. J., “Mechanisms underlying limited soil carbon gains in perennial and cover‐cropped bioenergy systems revealed by stable isotopes”, GCB Bioenergy, 2019.
T. L. Dickson, Wilsey, B. J., Busby, R. R., and Gebhart, D. L., “Melilotus officinalis (yellow sweetclover) causes large changes in community and ecosystem processes in both the presence and absence of a cover crop”, Biological invasions, vol. 12, no. 1, pp. 65-76, 2010.
E. A. Addis, Gangloff, E. J., Palacios, M. G., Carr, K. E., and Bronikowski, A. M., “Merging the “Morphology–Performance–Fitness” Paradigm and Life-History Theory in the Eagle Lake Garter Snake Research Project”, Integrative and Comparative Biology, 2017.
J. Rong, F Feltus, A., Waghmare, V. N., Pierce, G. J., Chee, P. W., Draye, X., Saranga, Y., Wright, R. J., Wilkins, T. A., and O May, L., “Meta-analysis of polyploid cotton QTL shows unequal contributions of subgenomes to a complex network of genes and gene clusters implicated in lint fiber development”, Genetics, vol. 176, no. 4, pp. 2577-2588, 2007.
M. S. Rosenberg, Adams, D. C., and Gurevitch, J., MetaWin: statistical software for meta-analysis. Sinauer Associates Sunderland, Massachusetts, USA, 2000.
M. S. Rosenberg, Adams, D. C., and Gurevitch, J., “Metawin: Statistical software for meta-analysis with resampling tests.”, 1997.
S. R. S. Dangal, Tian, H., Zhang, B., Pan, S., Lu, C., and Yang, J., “Methane emission from global livestock sector during 1890‐2014: magnitude, trends and spatio‐temporal patterns”, Global Change Biology, 2017.
M. L. Collyer, Sekora, D. J., and Adams, D. C., “A method for analysis of phenotypic change for phenotypes described by high-dimensional data”, Heredity, 2014.
D. C. Adams, “A METHOD FOR ASSESSING PHYLOGENETIC LEAST SQUARES MODELS FOR SHAPE AND OTHER HIGH‐DIMENSIONAL MULTIVARIATE DATA”, Evolution, vol. 68, no. 9, pp. 2675-2688, 2014.
D. C. Adams, “Methods for shape analysis of landmark data from articulated structures”, Evolutionary Ecology Research, vol. 1, no. 8, pp. 959-970, 1999.
C. E. Grover, Kim, H. R., Wing, R. A., Paterson, A. H., and Wendel, J. F., “Microcolinearity and genome evolution in the AdhA region of diploid and polyploid cotton (Gossypium)”, The Plant Journal, vol. 50, no. 6, pp. 995-1006, 2007.
C. Grover, Kim, H., Wing, R. A., and Wendel, J. F., “Microcolinearity in the Allotetraploid Gossypium hirsutum”, Genome Exploitation: Data Mining the Genome, p. 231, 2007.
A. P. Kuester and Nason, J. D., “Microsatellite loci for Gossypium davidsonii (Malvaceae) and other D-genome, Sonoran Desert endemic cotton species”, American journal of botany, vol. 99, no. 3, pp. e91-e93, 2012.
J. Pleasants, “Milkweed restoration in the Midwest for monarch butterfly recovery: estimates of milkweeds lost, milkweeds remaining and milkweeds that must be added to increase the monarch population”, Insect Conservation and Diversity, 2016.
J. Dewoody, Nason, J. D., and Hipkins, V. D., “Mitigating scoring errors in microsatellite data from wild populations”, Molecular Ecology Notes, vol. 6, no. 4, pp. 951-957, 2006.
T. S. Schwartz, Arendsee, Z. W., and Bronikowski, A. M., “Mitochondrial divergence between slow-and fast-aging garter snakes”, Experimental Gerontology, 2015.
R. L. Small and Wendel, J. F., “The mitochondrial genome of allotetraploid cotton (Gossypium L.).”, The Journal of heredity, vol. 90, no. 1, pp. 251-253, 1998.
W. Pett and Lavrov, D., “Mito-nuclear interactions in the evolution of animal mitochondrial tRNA metabolism”, Genome Biology and Evolution, p. evv124, 2015.
S. Tavaré, Adams, D. C., Fedrigo, O., and Naylor, G. J. P., “A model for phylogenetic inference using structural and chemical covariates.”, Pacific Symposium on Biocomputing, vol. 6, pp. 215-225, 2001.

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