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2022 Publications from the Department of Ecology and Evolution

  • Grace, M.K., H.R. Akçakaya, E.L. Bennett, M. Boyle, C. Hilton-Taylor, M. Hoffmann, D. Money, A. Prohaska, R. Young, R. Young, B. Long. 2022. The impact of spatial delineation on the assessment of species recovery outcomes. Diversity 14, 742. https://doi.org/10.3390/d14090742
  • Bolam, F.C., J. Ahumada, H.R. Akçakaya, T. M. Brooks, W. Elliott, S. Hoban, L. Mair, D. Mallon, P.J.K. McGowan, D. Raimondo, J.P. Rodríguez, D. Roe, M.B. Seddon, X. Shen, S.N. Stuart, J.E.M. Watson, S.H.M. Butchart. 2022. Over half of threatened species require targeted recovery actions to avert human-induced extinction. Frontiers in Ecology and the Environment. https://doi.org/10.1002/fee.2537
  • Şen, B. and H.R. Akçakaya. 2022. Inter-specific variability in demographic processes affects abundance-occupancy relationships. Oecologia https://doi.org/10.1007/s00442-021-05085-5
  • Cazalis, V., M. Di Marco, S.H.M. Butchart, H.R. Akçakaya, M. González-Suárez, C. Meyer, V. Clausnitzer, M. Böhm, A. Zizka, P. Cardoso, A.M. Schipper, S.P. Bachman, B.E. Young, M. Hoffmann, A. Benítez-López, P.M. Lucas, N. Pettorelli, G. Patoine, M. Pacifici, T. Jörger-Hickfang, T.M. Brooks, C. Rondinini, S.L.L. Hill, P. Visconti, and L. Santini. 2022. Bridging the research-implementation gap in IUCN Red List assessments. Trends in Ecology & Evolution. https://doi.org/10.1016/j.tree.2021.12.002
  • Şen, B. and H.R. Akçakaya. 2022. Fecundity and density dependence can be estimated from mark-recapture data for making population projections. Ornithological Applications 124:1-14 https://doi.org/10.1093/ornithapp/duab064
  • Groner, V., O. Nicholas, T. Mabhaudhi, R. Slotow, H.R. Akçakaya, G. Mace, R. Pearson. 2022. Climate change, land cover change, and overharvesting threaten a widely used medicinal plant in South Africa. Ecological Applications 32(4):e2545 https://doi.org/10.1002/eap.2545
  • Fordham, D.A., S.C. Brown, H.R. Akçakaya, B.W. Brook, S. Haythorne, A. Manica, K.T. Shoemaker, J.J. Austin, B. Blonder, J. Pilowsky, C. Rahbek, and D. Nogues-Bravo. 2022. Process-explicit models reveal pathway to extinction for woolly mammoth using pattern-oriented validation. Ecology Letters 25:125–137. https://doi.org/10.1111/ele.13911
  • Roman Yukilevich, Fumio Aoki, 2022, Evolution of choosiness dictates whether search costs of mate choice enhance speciation by sexual selection, Journal of Evolutionary Biology, Vol. 35, Issue 8, pp. 1045-1059, https://doi.org/10.1111/jeb.14036
  • Balk, M., J. Deck, K.F. Emery, R.L Walls, D. Reuter, R. LaFrance, J. Arroyo-Cabrales, P. Barret, J. Blois, A. Boileau, L. Brenskelle, N.R. Cannarozzi, J.A. Cruz, L.M. Dávalos, M. Hantak, S. Hopkins, B. Kohli, J.N. King, M. Koo, M. Lawing, H. Machado, S.S. McCrane, B. McLean, M. Morgan, S. Pilaar-Birch, D. Reed, E.J. Reitz, N. de la Sancha, N. Sewnath, N.S. Upham, A. Villaseñor, L. Yohe, R.P Guralnick, E.B. Davis. Best practices for aggregating and reporting individual traits. iScience. DOI: 10.1016/j.isci.2022.105101
  • Yohe, L.R., M. Fabbri, D. Lee, K. Davies, T.P. Yohe, M. K. R. Sanchez, E. Rengifo, R. Hall, G. Mutumi, B.P. Hedrick, A. Sadier, N.B. Simmons, K.E. Sears, E. Dumont, S. Rossiter, B.-A. Bhullar, and L.M. Dávalos. Ecological Constraints on Highly Evolvable Olfactory Receptor Genes and Morphology. Evolution. DOI: 10.1111/evo.14591 *Join senior authors.
  • Leadley, P., D. Obura, L. Shannon, M. Cecilia, K. Millette, A. Rankovic, E. Archer, F. Ato, N. Bax, A. Kutchhi, J.M. Costello, L.M. Dávalos, F. de Oliveira Roque, F. DeClerck, L. Dee, F. Essl, S. Ferrier, S. Hashimoto, C. Ifejika, F. Isbell, M. Kok, S. Lavery, D. Leclère, R. Loyola, S. Lwasa, M. McGeoch, A.S. Mori, E. Nicholson, J. Manuel, K. Öllerer, S. Polasky, C. Rondinini, O. Selomane, B. Strassburg, R. Sumaila, D.P. Tittensor, E. Turak, L. Urbina, M. Vallejos, E. Vázquez-Domínguez, P. Verburg, P. Visconti, S. Woodley, J. Xu, S. Jellesmark. Achieving global biodiversity goals by 2050 requires urgent and integrated actions. One Earth 5(6): P597-603. DOI: 10.1016/j.oneear.2022.05.009
  • Doronina, L, G.M. Hughes, D. Moreno-Santillan, C. Lawless, T. Lonergan, L. Ryan, D. Jebb, B.M. Kirilenko, J.M. Korstian, L.M. Dávalos, S. C. Vernes, E.W. Myers, E.C. Teeling, M. Hiller, L.S. Jermin, J. Schmitz, M.S. Springer, D.A. Ray. Contradictory phylogenetic signals in the Laurasiatheria anomaly zone. Genes 13. DOI: 10.3390/genes13050766 *Equal contribution.
  • Mohammed, R.S., G. Turner, K. Fowler, M. Pateman, M.A. Nieves-Colón, L. Fanovich, S.B. Cooke, L.M. Dávalos, S.M. Fitzpatrick, C.M. Giovas, M. Stokowski, A.A. Wrean, M. Kemp, M.J. LeFebvre, A.M. Mychajliw. Colonial legacies influence biodiversity lessons: how past trade routes and power dynamics shape present day scientific research and professional opportunities for Caribbean scientists. American Naturalist. DOI: 10.1086/720154
  • The Quarterly Review of Biology, (general information) https://www.journals.uchicago.edu/journals/qrb/about (current issue) https://www.journals.uchicago.edu/toc/qrb/current
  • Kenneth J Davidson, Julien Lamour, Alistair Rogers, Shawn P Serbin, Late-day measurement of excised branches results in uncertainty in the estimation of two stomatal parameters derived from response curves in Populus deltoides Bartr. × Populus nigra L., Tree Physiology, Volume 42, Issue 7, July 2022, Pages 1377–1395, https://doi.org/10.1093/treephys/tpac006
  • Kenneth J. Davidson Julien Lamour, Alistair Rogers, Kim S. Ely, Qianyu Li, Nate G. McDowell, Alexandria L. Pivovaroff, Brett T. Wolfe, S. Joseph Wright, Alfonso Zambrano, and Shawn P. Serbin, Short term variation in leaf level water use efficiency in a tropical forest, New Phytologist, https://doi.org/10.1111/nph.18684
  • Gotsch SG, Williams CB, Bicaba R, Cruz-de Hoyos R, Darby A, Davidson KJ, Dix M, Duarte V, Glunk A, Green L, Ferguson B, Muñoz-Elizondo K, Murray JG, Picado-Fallas I, Nӕsborg R, Dawson TE, and Nadkarni N. (2022) Trade-offs between succulent and non-succulent epiphytes underlie variation in drought tolerance and avoidance. Oecologia. 198, 645-661. https://doi.org/10.1007/s00442-022-05140-9
  • Futuyma, D. J., and M. Kirkpatrick. 2022. Evolution, fifth edition. Oxford University Press.
  • Futuyma, D. J., editor (with H. B. Shaffer and D. Simberloff), Annual Review of Ecology, Evolution, and Systematics, vol 50-53 (2019 -2022).
  • Talis, Emma, C. Che-Castaldo, B. Sen, K. Krumhardt, and H.J. Lynch. 2022. Variability, skipped breeding, and heavy-tailed dynamics in an Antarctic seabird. In press at Journal of Animal Ecology 91: 2437-2450.
  • Lee, J.R., M. Waterman, J.D. Shaw, D.M. Bergstrom, H.J. Lynch, D.H. Wall, and S.A. Robinson. 2022. Islands in the ice: Perspectives on the potential impacts of Antarctic habitat transformation. Global Change Biology 28(20): 5865-5880.
  • El-Laham, Y., M. Bugallo, and H.J. Lynch. 2022. Switching state-space models for modeling penguin population dynamics. Environmental and Ecological Statistics 29: 607-624.
  • Herman, R., and H.J. Lynch. 2022. Age-structured model reveals prolonged immigration is key for colony establishment in Gentoo Penguins. Ornithological Applications 124(3): duac014, https://doi.org/10.1093/ornithapp/duac014.
  • Levinton, J.S. 2022. Marine Biology: Function, Biodiversity, Ecology. 6th Edition. Oxford University Press, New York, 548 pp.
  • Levinton, J.S. 2022. Mass Extinctions, IN: Encyclopedia of Biodiversity, 3rd Edition. S.A. Levin, editor, Elsevier Publishing Co.
  • Frost GV, Macander MJ, Bhatt US, Berner LT, Bjerke JW, Epstein HE, Forbes BC, Goetz SJ, Lara MJ, Phoenix GK, Serbin SP, Tømmervik H, Walker DA, Yang D (2022) Tundra Greenness. In Arctic Report Card 2022, M. L. Druckenmiller, R. L. Thoman, and T. A. Moon, Eds. https://doi.org/10.25923/g8w3-6v31
  • Crystal-Ornelas R, Varadharajan C, O'Ryan D, Beilsmith K, Bond-Lamberty B, Boye K, Burrus M, Cholia S, Christianson D, Crow M, Damerow J, Ely K, Goldman A, Heinz S, Hendrix V, Kakalia Z, Mathes K, O'Brien F, Pennington S, Robles E, Rogers A, Simmonds M, Velliquette T, Weisenhorn P, Welch J, Whitenack K, Agarwal D (2022). Enabling FAIR data in Earth and environmental science with community-centric (meta)data reporting formats. Scientific Data. 9, 700. https://doi.org/10.1038/s41597-022-01606-w
  • Thoman RL, Druckenmiller ML, Moon TA, Andreassen LM, Baker E, Ballinger TJ, Berner LT, Bernhard GH, Bhatt US, Bjerke JW, Boisvert LN, Box JE, Brettschneider B, Burgess D, Butler AH, Cappelen J, Christiansen HH, Decharme B, Derksen C, Divine D, Drozdov DS, Elias CA, Epstein HE, Farrell SL, Fausto RS, Fettweis X, Fioletov VE, Forbes BC, Frost GV, Gerland S, Goetz SJ, Grooß JU, Haas C, Hanna E, Hanssen BI, Heijmans MMPD, Hendricks S, Ialongo I,Isaksen K, Jensen CD, Johnsen B, Kaleschke L, Kholodov AL, Kim S-J, Kohler J, Korsgaard NJ, Labe Z, Lakkala K, Lara MJ, Lee SH, Loomis B, Luks B. Luojus K, Macander MJ, Magnússon RI, Malkova GV, Mankoff KD, Manney GL, Meier WN, Mote T, Mudryk L, Müller R, Nyland KE, Overland JE, Pálsson F, Park T, Parker CL, Perovich D, Petty A, Phoenix GK, Pinzon JE, Ricker R, Romanovsky VE, Serbin SP, Sheffield G, Shiklomanov NI, Smith SL, Stafford KM, Steer A, Streletskiy DA, Svendby T, Tedesco M, Thomson L, Thorsteinsson T, Tian-Kunze X, Timmermans ML, Tømmervik H,Tschudi M, Tucker CJ, Walker DA, Walsh JE, Wang M, Webster M, Wehrlé A, Winton Ø, Wolken G, Wood K, Wouters B, Yang D (2022) The Arctic. In: Blunden J and Boyer T, Eds. “State of the Climate in 2021”. Bulletin of the American Meteorological Society, 103, S1–S465.  https://doi.org/10.1175/2022BAMSStateoftheClimate.1
  • Yang D, Morrison BD, Davidson KJ, Lamour J, Li Q, Nelson PR, Hantson W, Hayes DJ, Swetnam TL, McMahon A, Anderson J, Ely KS, Rogers A, Serbin SP (2022). Remote Sensing from Unoccupied Aerial Systems: Opportunities to Enhance Arctic Plant Ecology in a Changing Climate. Journal of Ecology. 110, 2812-2835. https://doi.org/10.1111/1365-2745.13976
  • Kamoske AG, Dahlin KM, Read QD, Record S,Stark SC, Serbin SP, Zarnetske PL (2022). Towards mapping biodiversity from above: Can fusing lidar and hyperspectral remote sensing predict taxonomic, functional, and phylogenetic tree diversity in temperate forests? Global Ecology and Biogeography, 31, 1440–1460. https://doi.org/10.1111/geb.13516
  • Dokoohaki H, Morrison BD, Raiho A, Serbin SP, Zarada K, Dramko L, Dietze M (2022). Development of an open-source regional data assimilation system in PEcAn v. 1.7.2: application to carbon cycle reanalysis across the contiguous US using SIPNET. Geoscientific Model Development. 15, 3233–3252. https://doi.org/10.5194/gmd-15-3233-2022
  • Hurtt GC, Andrews A, Bowman K, Brown ME, Chatterjee A, Escobar V, Fatoyinbo L, Griffith P, Guy M, Healey SP, Jacob DJ, Kennedy R, Lohrenz S, McGroddy ME, Morales V, Nehrkorn T, Ott L, Saatchi S, Carlo ES, Serbin SP, Tian H (2022) The NASA Carbon Monitoring System Phase 2 synthesis: scope, findings, gaps and recommended next steps. Environmental Research Letters. 17, 063010.  https://iopscience.iop.org/article/10.1088/1748-9326/ac7407
  • Montes CM, Fox C, Sanz-Sáez A, Serbin SP, Kumagai E, Krause MD, Xavier A, Specht JE, Beavis WD, Bernacchi CJ, Diers BW, Ainsworth EA (2022) High-throughput characterization, correlation, and mapping of leaf photosynthetic and functional traits in the soybean (Glycine max) nested association mapping population. Genetics. 221, iyac065. https://doi.org/10.1093/genetics/iyac065
  • Nelson PR, Maguire AJ, Pierrat Z, Orcutt EL, Yang D, Serbin SP, Frost GV, Macander MJ, Magney TS, Thompson DR, Wang JA, Oberbauer SF, Zesati SV, Davidson SJ, Epstein HE, Unger S, Campbell PKE, Carmon N, Velez-Reyes M, Huemmrich KF (2022). Remote Sensing of Tundra Ecosystems Using High Spectral Resolution Reflectance: Opportunities and Challenges. Journal of Geophysical Research: Biogeosciences. 127, e2021JG006697. https://doi.org/10.1029/2021JG006697
  • Stavros EN, Chrone J, Cawse-Nicholson K, Freeman A, Glenn NF, Guild L, Kokaly R, Lee C, Luvall J, Pavlick R, Poulter , Schollaert-Uz S, Serbin SP, Thompson DR, Townsend PA, Turpie K, Yuen K, Thome K, Wang W, Zareh S-K, Nastal J, Bearden D, Miller CE, Schimel D (2022). Designing an Observing System to Study the Surface Biology and Geology (SBG) of the Earth in the 2020s. Journal of Geophysical Research: Biogeosciences, 127, e2021JG006471. https://doi.org/10.1029/2021JG006471
  • Li Q, Serbin SP, Lamour J, Davidson KJ, Ely KS, Rogers A (2022) Implementation and evaluation of the unified stomatal optimization approach in the Functionally Assembled Terrestrial Ecosystem Simulator (FATES). Geoscientific Model Development. 15, 4313-4329. https://doi.org/10.5194/gmd-2021-414
  • Davidson KJ, Lamour J, Rogers A, Serbin SP (2022) Late day measurement of excised branches results in uncertainty in the estimation of two stomatal parameters derived from response curves in Populus deltoides Bartr. x Populus nigra L. Tree Physiology. 42, 1377-1395. https://doi.org/10.1093/treephys/tpac006
  • Lamour J, Davidson KJ, Ely KS, Le Moguedec G, Leakey ADB, Li Q, Serbin SP, Rogers A (2022) An improved representation of the relationship between photosynthesis and stomatal conductance leads to more stable estimation of conductance parameters and improves the goodness-of-fit across diverse datasets. Global Change Biology. 28, 3537-3556. https://doi.org/10.1111/gcb.16103
  • Euskirchen ES, Serbin SP, Carman TB, Fraterrigo JM, Genet H, Iversen CM, Salmon V, McGuire AD (2022) Assessing dynamic vegetation model parameter uncertainty across Alaskan Arctic tundra plant communities. Ecological Applications. 32, e2499. https://doi.org/10.1002/eap.2499
  • Sabot MEB, De Kauwe MG, Pitman AJ, Medlyn BE, Ellsworth D, Martin-StPaul N, Wu J, Choat B, Limousin J-M, Mitchell PJ, Rogers A, Serbin SP (2022) One stomatal model to rule them all? Towards improved representation of carbon and water exchange in global models. Journal of Advances in Modelling Earth Systems. 14, e2021MS002761. https://doi.org/10.1029/2021MS002761
  • Rogers A, Serbin SP, Way DA (2022) Reducing model uncertainty of climate change impacts on high latitude carbon assimilation. Global Change Biology. 28, 1222-1247. https://doi.org/10.1111/gcb.15958
  • Song G, Wu S, Lee CKF, Serbin SP, Wolfe BT, Ng MK, Ely KS, Bogonovich M, Wang J, Lin Z, Saleska S, Nelson BW, Rogers A, Wu J (2022) Monitoring leaf phenology in moist tropical forests by applying a spuerpixel-based deep learning method to time-series images of tree canopies. Journal of Photogrammetry and Remote Sensing. 183, 18-33. https://doi.org/10.1016/j.isprsjprs.2021.10.023
  • Julia EF Stepanuk,Hyemi Kim,Janet A Nye,Jason J Roberts,Pat N Halpin,Debra L Palka,D Ann Pabst,William A McLellan,Susan G Barco,Lesley H Thorne, Subseasonal forecasts provide a powerful tool for dynamic marine mammal management, Front Ecol Environ 2022; doi:10.1002/fee.2506
  • Kelly JB, Carlson DE, Low JS, Thacker RW. 2022. Novel trends of genome evolution in highly complex tropical sponge microbiomes. Microbiome 10:164. https://doi.org/10.1186/s40168-022-01359-z
  • Title P.O., Swiderski D.L., Zelditch M.L. 2022. EcoPhyloMapper: an R package for integrating geographic ranges, phylogeny, and morphology. Methods in Ecology & Evolution. https://besjournals.onlinelibrary.wiley.com/doi/10.1111/2041-210X.13914
  • Pamfilie, A.M., Espinal, M.D., Vitek, N.S. 2022. Quantifying shell patterning helps identify species of Trionychidae. The Anatomical Record. Early View. https://onlinelibrary.wiley.com/doi/10.1002/ar.25064
  • Vitek, N.S., McDaniel, S.F., Bloch, J.I. 2022. Microevolutionary variation in molar morphology of Onychomys leucogaster decoupled from genetic structure. Evolution 76:2032-2048. https://onlinelibrary.wiley.com/doi/10.1111/evo.14576
  • Sousa, F.J., Cox, S.E., Hemming, S., Rasbury, E.T., Steponaitis, E., Hatton, K., Saslaw, M., Henkes, G., Princehouse, P., Vitek, N., Nengo, I. 2022. New Discovery of Oligocene Strata in the Topernawi Formation, Turkana County, Kenya. Frontiers in Earth Science 10:799097. https://www.frontiersin.org/articles/10.3389/feart.2022.799097/full
  • Vitek, N.S., Chen, H.** 2022. The impact of tooth wear on occlusal shape and the identification of fossils of New World porcupines (Rodentia: Erethizontidae). Journal of Mammalian Evolution 29:677-692. https://link.springer.com/10.1007/s10914-022-09601-z
  • Liu X, Gui L, Cui X,Butnor JR, Boyer EW, Yang D, Chen J, Fan B (2022) An automatic processing framework for in situ determination of ecohydrological root water content by ground-penetrating radar. IEEE Transactions on geoscience and remote sensing. 60, 4501715. https://ieeexplore.ieee.org/document/9386224