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Publications

/Publications
Publications 2020-02-26T09:44:28-07:00

See Google Scholar for up-to-date citations. Lab members in bold.

In press

Zhu K. Understanding forest dynamics by integrating age and environmental change. New Phytologist, in press. https://doi.org/10.1111/nph.16412

Steidinger BS, Bhatnagar JM, Vilgalys R, Taylor JW, Qin C, Zhu K, Bruns TD, Peay KG. Ectomycorrhizal fungal diversity predicted to substantially decline due to climate changes in North American Pinaceae forests. Journal of Biogeography, in press. https://doi.org/10.1111/jbi.13802

Egerer MH, Wagner B, Lin BB, Kendal D, Zhu K. New methods of spatial analysis in urban gardens inform future vegetation surveying. Landscape Ecology, in press. https://doi.org/10.1007/s10980-020-00974-1

Compagnoni A, Bibian AJ, Ochocki BM, Levin S, Zhu K, Miller TEX. popler: an R package for extraction and synthesis of population time series from the long-term ecological research (LTER) network. Methods in Ecology and Evolution, in press. https://doi.org/10.1111/2041-210X.13319

Lamperty T, Zhu K, Poulsen JR, Dunham AE. Defaunation of large mammals alters understory vegetation and functional importance of invertebrates in an Afrotropical forest. Biological Conservation, in press. https://doi.org/10.1016/j.biocon.2019.108329

Wang C, Guan K, Peng B, Chen M, Jiang C, Zeng Y, Wu G, Wang S, Wu J, Yang X, Frankenberg C, Kohler P, Berry J, Bernacchi C, Zhu K, Alden C, Miao G. Satellite footprint data from OCO-2 and TROPOMI reveal significant spatio-temporal and inter-vegetation type variabilities of solar-induced fluorescence yield in the U.S. Midwest. Remote Sensing of Environment, in press.

2020

Qin C, Zhu K, Chiariello NR, Field CB, Peay KG (2020). Fire history and plant community composition outweigh decadal multi-factor global change as drivers of microbial composition in an annual grassland. Journal of Ecology, 108, 611-625. https://doi.org/10.1111/1365-2745.13284

Liu LZhu K, Wurzburger N, Zhang J (2020). Relationships between plant diversity and soil microbial diversity vary across taxonomic groups and spatial scales. Ecosphere, 11(1):e02999. https://doi.org/10.1002/ecs2.2999

Moore JR, Argles APK, Zhu K, Huntingford C, Cox PM (2020). Validation of demographic equilibrium theory against tree-size distributions and biomass density in Amazonia. Biogeosciences, 17, 1013–1032. https://doi.org/10.5194/bg-17-1013-2020

2019

Zhu K, Song Y, Qin C (2019). Forest age improves understanding of the global carbon sink. Proceedings of the National Academy of Sciences, 116, 3962-3964. https://doi.org/10.1073/pnas.1900797116

Wang C, Zhu K (2019). Misestimation of growing season length due to inaccurate construction of satellite vegetation index time series. IEEE Geoscience and Remote Sensing Letters, 16(8), 1185-1189. https://doi.org/10.1109/LGRS.2019.2895805

Quan Q, Tian D, Luo Y, Zhang F, Crowther TW, Zhu K, Chen HYH, Zhou Q, Niu S (2019). Water scaling of ecosystem carbon cycle feedback to climate warming. Science Advances, 5:eaav1131. https://doi.org/10.1126/sciadv.aav1131

Yu K, Smith WK, Trugman AT, Condit R, Hubbell SP, Sardans J, Peng C, Zhu K, Peñuelas J, Cailleret M, Levanic T, Gessler A, Schaub M, Ferretti M, Anderegg WRL. Pervasive decreases in living vegetation carbon turnover time across forest climate zones. Proceedings of the National Academy of Sciences, 116, 24662-24667. https://doi.org/10.1073/pnas.1821387116

Terborgh J, Zhu K, Álvarez-Loayza P, Cornejo-Valverde F (2019). Seed limitation in an Amazonian floodplain forest. Ecology, 100(5):e02642. http://dx.doi.org/10.1002/ecy.2642

Mao ZK, Corrales A, Zhu K, Yuan ZQ, Lin F, Ye J, Hao ZQ, Wang XG (2019). Tree mycorrhizal associations mediate soil fertility effects on forest community structure in a temperate forest. New Phytologist, 233, 475–486. https://doi.org/10.1111/nph.15742

He Y, Zhou X, Cheng W, Zhou L, Zhang G, Zhou G, Liu R, Shao J, Zhu K, Cheng W (2019). Linking improvement of soil structure to soil carbon storage following invasion by a C4 plant Spartina alterniflora. Ecosystems, 22, 859–872. https://doi.org/10.1007/s10021-018-0308-3

Chu CJ, Lutz JA, …, Zhu K, … (2019). Direct and indirect effects of climate on richness drive the latitudinal diversity gradient in forest trees. Ecology Letters, 22, 245-255. https://doi.org/10.1111/ele.13175

2018

Zhu K, Zhang J, Niu S, Chu C, Luo Y (2018). Limits to growth of forest biomass carbon sink under climate change. Nature Communications, 9(1), 2709. https://doi.org/10.1038/s41467-018-05132-5

Zhu K, McCormack ML, Lankau RA, Egan JF, Wurzburger N (2018). Association of ectomycorrhizal trees with high carbon-to-nitrogen ratio soils across temperate forests is driven by smaller nitrogen not larger carbon stocks. Journal of Ecology, 106, 524-535. https://doi.org/10.1111/1365-2745.12918

Moore J, Zhu K, Huntingford C, Cox P (2018). Equilibrium forest demography explains the distribution of tree sizes across North America. Environmental Research Letters, 13(8), 084019. https://doi.org/10.1088/1748-9326/aad6d1

Hakkenberg CR, Zhu K, Peet RK, Song C (2018). Mapping multi-scale vascular plant richness in a forest landscape with integrated LiDAR and hyperspectral remote-sensing. Ecology, 99, 474-487. https://doi.org/10.1002/ecy.2109

Wang C, Chen J, Tang Y, Black A, Zhu K (2018). A novel method for removing snow melting-induced fluctuation in GIMMS NDVI3g data for vegetation phenology monitoring: a case study in deciduous forests of North America. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 11, 800-807. https://doi.org/10.1109/JSTARS.2017.2778076

2017

Wang C, Chen J, Wu J, Tang Y, Shi P, Black A, Zhu K (2017). A snow-free vegetation index for improved monitoring of vegetation spring green-up date in deciduous ecosystems. Remote Sensing of Environment, 196, 1-12. https://doi.org/10.1016/j.rse.2017.04.031

Kuang X, Zhu K, Yuan Z, Lin F, Ye J, Wang X, Hao Z (2017). Conspecific density dependence and community structure: insights from 11 years of monitoring in an old-growth temperate forest in northeast China. Ecology and Evolution, 7, 5191-5200. https://doi.org/10.1002/ece3.3050

Wilcox K, Shi Z, Gherardi LA, Lemoine NP, Koerner SE, Hoover DL, Bork E, Byrne K, Cahill J, Collins S, Evans S, Gilgen AK, Holub P, Jiang L, Knapp A, Laura Y, LeCain DR, Liang J, Peñuelas J, Pockman W, Smith M, White S, Zhu K, Luo Y (2017). Asymmetric responses of primary productivity to climate extremes: a synthesis of grassland precipitation manipulations. Global Change Biology, 23, 4376-4385. https://doi.org/10.1111/gcb.13706

2016

Zhu K, Chiariello NR, Tobeck T, Fukami T, Field CB (2016). Nonlinear, interacting responses to climate limit grassland production under global change. Proceedings of the National Academy of Sciences, 113, 10589-10594. https://doi.org/10.1073/pnas.1606734113

Albright R, Hosfelt J, Kwiatkowski L, Maclaren JK, Mason BM, Nebuchina Y, Ninokawa A, Pongratz J, Ricke KL, Rivlin T, Schneider K, Sesboüé M, Shamberger K, Silverman J, Wolfe K, Zhu K, Caldeira K (2016). Reversal of ocean acidification enhances net coral reef calcification. Nature, 531, 362-365. https://doi.org/10.1038/nature17155

Ghosh S, Zhu K, Gelfand AE, Clark JS (2016). Joint modeling of climate niches for adult and juvenile trees. Journal of Agricultural, Biological, and Environmental Statistics, 21, 111-130. https://doi.org/10.1007/s13253-015-0238-x

Schliep EM, Gelfand AE, Clark JS, Zhu K (2016). Modeling change in forest biomass across the eastern US. Ecological and Environmental Statistics, 23, 23-41. https://doi.org/10.1007/s10651-015-0321-z

Andresen LC, Müller C, Dato G, Dukes J, Emmett BA, Estiarte M, Jentsch-Beierkuhnlein A, Kröel-Dulay G, Luescher A, Niu S, Peñuelas J, Reich P, Reinsch S, Schmidt IK, Schneider M, Sternberg M, Tietema A, Zhu K, Bilton MC (2016). Shifting impacts of climate change: long-term patterns of plant response to elevated CO2, drought, and warming across ecosystems. In: Advances in Ecological Research (eds. Dumbrell, AJ, Kordas, RL, Woodward, G). Academic Press. Oxford, UK. pp. 437-473. https://doi.org/10.1016/bs.aecr.2016.07.001

2015

Zhu K, Woodall CW, Monteiro JVD, Clark JS (2015). Prevalence and strength of density-dependent tree recruitment. Ecology, 96, 2319-2327. https://doi.org/10.1890/14-1780.1

Lankau RA, Zhu K, Ordonez A (2015). Mycorrhizal strategies of tree species correlate with trailing range edge responses to current and past climate change. Ecology, 96, 1451-1458. https://doi.org/10.1890/14-2419.1

Woodall CW, Russell MB, Walters BF, D’Amato AW, Zhu K, Saatchi SS (2015). Forest production dynamics along a wood density spectrum in eastern US forests. Trees – Structure and Function, 29, 299-310. https://doi.org/10.1007/s00468-014-1083-1

2014

Zhu K, Woodall CW, Ghosh S, Gelfand AE, Clark JS (2014). Dual impacts of climate change: forest migration and turnover through life history. Global Change Biology, 20, 251-264. https://doi.org/10.1111/gcb.12382

Terborgh J, Zhu K, Álvarez-Loayza P, Cornejo-Valverde F (2014). How many seeds does it take to make a sapling? Ecology, 95, 991-999. https://doi.org/10.1890/13-0764.1

Clark JS, Gelfand AE, Woodall CW, Zhu K (2014). More than the sum of the parts: forest climate response from joint species distribution models. Ecological Applications, 24, 990-999. https://doi.org/10.1890/13-1015.1

Clark JS, Bell DM, Kwit MC, Zhu K (2014). Competition-interaction landscapes for the joint response of forests to climate change. Global Change Biology, 20, 1979-1991. https://doi.org/10.1111/gcb.12425

2013

Woodall CW, Zhu K, Westfall JA, Oswalt CM, D’Amato AW, Walters BF, Lintz HE (2013). Assessing the stability of tree ranges and influence of disturbance in eastern US forests. Forest Ecology and Management, 291, 172-180. https://doi.org/10.1016/j.foreco.2012.11.047

Woodall CW, Westfall JA, Zhu K, Johnson DJ (2013). Assessing the effect of snow/water obstructions on the measurement of tree seedlings in a large-scale temperate forest inventory. Forestry, 86, 421-427. https://doi.org/10.1093/forestry/cpt013

Clark JS, Bell DM, Kwit MC, Powell A, Zhu K (2013). Dynamic inverse prediction and sensitivity analysis with high-dimensional responses: application to climate-change vulnerability of biodiversity. Journal of Agricultural, Biological, and Environmental Statistics, 18, 376-404. https://doi.org/10.1007/s13253-013-0139-9

2012

Zhu K, Woodall CW, Clark JS (2012). Failure to migrate: lack of tree range expansion in response to climate change. Global Change Biology, 18, 1042-1052. https://doi.org/10.1111/j.1365-2486.2011.02571.x

Zhu K, Ghosh S, Gelfand AE, Clark JS (2012). New approaches to FIA data for understanding distribution, abundance, and response to climate change. In: Moving from Status to Trends: Forest Inventory and Analysis (FIA) Symposium 2012, USDA Forest Service, Northern Research Station, General Technical Report NRS-P-105. https://www.nrs.fs.fed.us/pubs/42676

Ghosh S, Gelfand AE, Zhu K, Clark JS (2012). The k-ZIG: flexible modeling for zero-inflated counts. Biometrics, 68, 878-885. https://doi.org/10.1111/j.1541-0420.2011.01729.x

Clark JS, Bell DM, Kwit M, Stine A, Vierra B, Zhu K (2012). Individual-scale inference to anticipate climate-change vulnerability of biodiversity. Philosophical Transactions of the Royal Society B: Biological Sciences, 367, 236-246. https://doi.org/10.1098/rstb.2011.0183

2011

Clark JS, Bell DM, Hersh MH, Kwit MC, Moran E, Salk C, Stine A, Valle D, Zhu K (2011). Individual-scale variation, species-scale differences: inference needed to understand diversity. Ecology Letters, 14, 1273-1287. https://doi.org/10.1111/j.1461-0248.2011.01685.x

Wang YS, Chu CJ, Zhu K, Shen ZH (2011). Effects of inter-specific variability on biomass allocation: a hierarchical Bayesian approach. Ecological Informatics, 6, 341–344. https://doi.org/10.1016/j.ecoinf.2011.08.003