Papers
Avolio, ML, La Pierre, KJ, Houseman, GR, Koerner, SE, Grman, E, Isbell, F, Johnson, DS, Wilcox, KR. 2015. A framework for quantifying the magnitude and variability of community responses to global change drivers. Ecosphere 6: art280.
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Wilcox, KR, Tredennick, AT, Koerner, SE, Grman, E, Hallett, LM, Avolio, ML, La Pierre, KJ, Houseman, GR, Isbell, F, Johnson, DS, Alatalo, JM, Baldwin, AH, Bork, EW, Boughton, EH, Bowman, WD, Britton, AJ, Cahill JF Jr., Collins, SL, Du, G, Eskelinen, A, Gough, L, Jentsch, A, Kern, C, Klanderud, K, Knapp, AK, Kreyling, J, Luo, Y, McLaren, JR, Megonigal, P, Onipchenko, V, Prevéy, J, Price, JN, Robinson, CH, Sala, OE, Smith MD, Soudzilovskaia, NA, Souza, L, Tilman, D, White, SR, Xu, Z, Yahdjian, L, Yu, Q, Zhang, P, Zhang, Y. 2016. Asynchrony among local communities stabilises ecosystem function of metacommunities. Ecology Letters 20: 1534-1545
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Langley, AJ, Chapman, SK, Avolio, ML, Bowman, WD, Johnson, DS, La Pierre, KJ, Isbell, F, Wilcox, KR, Foster, BL, Hovenden, MJ, Knapp, AK, Koerner, SE, Lortie, C, IN , JP, Newton, P, Reich, PB, Smith, MD, Suttle, B, Tilman D. 2018. Ambient changes exceed treatment effects on plant species abundance in global change experiments. Global Change Biology 24: 5668-5679.
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Komatsu, KJ, Avolio, ML, Lemoine, NP, Isbell F, Grman, E, Houseman, GR, Koerner, SE, Johnson, DS, Wilcox, KR, et al. 2019. Global change effects on plant communities are magnified by time and the number of global change factors imposed. Proceedings of the National Academy of Sciences USA (PNAS): 116: 17867-17873.
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Avolio, ML, Carroll, IT, Collins, SL, Houseman, GR, Hallett, LM, Isbell, F, Koerner, SE, Komatsu, KJ, Smith, MD, Wilcox, KR. 2019. A comprehensive approach to analyzing community dynamics using rank abundance curves. Ecosphere 10: e02881
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Avolio, ML, Wilcox, KR, Komatsu, KJ, Lemoine, N, Bowman, WD, Collins, SL, Knapp, AK, Koerner, SE, Smith MD, et al. 2020. Temporal variability in production is not consistently affected by global change drivers across herbaceous-dominated ecosystems. Oecologia 194: 735-744.
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Wilcox, KR, Komatsu, KJ, Avolio, ML, C2E. 2020. Improving collaborations between empiricists and modelers to advance grassland community dynamics in ecosystem models. New Phytologist 228: 1467-1471.
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Langley, J, Grman, E, Wilcox, KR, Avolio, ML, Komatsu, KJ, Collins, SL, Koerner, SE, Smith, MD, Baldwin, AH, Bowman, B, Chiariello, N, Eskelinen, A, Harmens, H, Hovenden, M, Klanderud, K, McCulley, RL, Onipchenko, VG, Robinson, CH, Suding, KN. 2022. Do tradeoffs among plant species control response to different global change treatments? Ecology 103: e3626
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Avolio, ML, Komatsu, KJ, Koerner, SE, Grman, E, Isbell, F, Johnson, DS, et al. 2022. Making sense of multivariate community responses in global change experiments. Ecosphere: e4249.
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Wilcox, KW, Chen, A, Avolio, ML, Butler, E, Collins, SC, Fisher, R, Keenan, T, Kiang, N, Knapp, AK, Koerner, SE, Kueppers, L, Liang, G, Lieungh, E, Loik, M, Lou, Y, Poulter, B, Reich, P, Renwick, K, Smith, MD, Walker, A, Weng, E, Komatsu, K. 2023. Advancing our understanding of ‘grassy’ ecosystems by accounting for herbaceous communities in process-based models. Global Change Biology 29:6453-6477.
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Ohlert, T, Kimmel, K, Avolio, ML, Chang, C, Forrestel, E, Gerstner, B, Hobbie, SE, Komatsu, K, Reich, P, Whitney, K. 2022. The impact of trait number and correlation on functional diversity metrics in real-world ecosystems. PlosOne: e0306342.
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Komatsu, KJ, Avolio, ML, Cubino, JP, Schrodt, et al. CoRRE Trait Data: A dataset of 17 categorical and continuous traits for 4079 grassland plant species worldwide. Scientific Data 11: e795.
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In Preparation
Relating plant community responses to global change drivers to productivity responses
Lead authors: Kimberly Komatsu, Meghan Avolio, Kevin Wilcox, Forest Isbell, Alan Knapp, Sally Koerner, Melinda Smith, Andrew Tredennick
Global change drivers alter stability of meta-communities by synchronizing or de-synchronizing plant populations.
Lead authors: Kevin Wilcox, Kimberly Komatsu, Sally Koerner, Meghan Avolio, Yann Hautier, Shaopeng Wang
Grassland plant communities with high rates of background change show greater change with GCDs
Lead authors: Sally Koerner, Kimberly Komatsu, Meghan Avolio
Lead authors: Kimberly Komatsu, Meghan Avolio, Kevin Wilcox, Forest Isbell, Alan Knapp, Sally Koerner, Melinda Smith, Andrew Tredennick
- We have previously found that plant communities respond systematically to global change drivers around the world, however the consequences for functional differences have yet to be investigated in a large-scale synthesis.
- Here we find that productivity responses to experimental global change drivers are initially driven by physiological responses of the existing plant community, followed by reordering of species within a community, and finally species turnover (losses and immigration). This result provides support for the Hierarchical Response Framework (Smith et al 2009).
Global change drivers alter stability of meta-communities by synchronizing or de-synchronizing plant populations.
Lead authors: Kevin Wilcox, Kimberly Komatsu, Sally Koerner, Meghan Avolio, Yann Hautier, Shaopeng Wang
- Ecosystem stability is important for maintaining ecosystem services and are likely to be impacted by global change drivers. We are investigating how global change drivers alter meta-community (beta) diversity, which then scales up impact two important contributors to ecosystem (gamma) stability.
- We find that beta-diversity is a strong driver of population synchrony . This effect is consistent across a wide array of global change drivers.
Grassland plant communities with high rates of background change show greater change with GCDs
Lead authors: Sally Koerner, Kimberly Komatsu, Meghan Avolio
- Plant communities are continuously changing over time. These background rates of change are poorly understood and can have large impacts on system response to global change drivers.
- Some plant communities exhibit higher rates of background change than others, and these communities were more responsive to global change treatment manipulations.