Publications
(* indicates corresponding authorship and bold italic underline indicates postdocs or students mentored by Wu; # denotes equal contribution)
2023
  • (96) Huang, H., Wu, J., Calabrese, S. (2023). Emergent climatic controls on soil carbon turnover and its variability in warm climates. Geophysical Research Letters, in press. 
  • (95) Yuan, T., Tai, A.P.K., Mao, J., Tam, O.H.F., Li, R.K.K., Wu, J., Li, S. (2023). Effects of different irrigation methods on regional climate in North China Plain: A modeling study. Agricultural and Forest Meteorology, in press. 
  • (94) Huang, Z., Zhong, L., Zhao, F., Wu, J., Tang, H., Lv, Z., Xu, B. Zhou, L., Sun, R., Meng, R. (2023). A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery. ISPRS Journal of Photogrammetry and Remote Sensing, in press. 
  • (93) Zhang, J., Wu, J., Hughes, A.C., Kaplan, J., Maeda, E. (2023). Bio-geophysical feedback to climate caused by the conversion of Amazon forest to soybean plantations. Science of the Total Environment, 166802, doi: 10.1016/j.scitotenv.2023.166802. 
  • (92) Yang, F., Jiang, X., Ziegler, A.D., Estes, L.D., Wu, J., Chen, A., Ciais, P., Wu, J., Zeng, Z. (2023). Improved fine-scale tropical forest cover mapping for Southeast Asia using Planet-NICFI and Sentinel-1 imagery. Journal of Remote Sensing, 3, 0064, doi: 10.34133/remotesensing.0064. 
  • (91) Guo, Z., Zhang, K., Lin, H., Majcher, B.M., Lee, C.K., Still, C., Wu, J*. (2023). Plant canopies exhibit stronger thermoregulation capability at the seasonal than diurnal timescales. Agricultural and Forest Meteorology, 339, 109582. 
  • (90) Gong, P., Guo, H., Chen, B., Chen, F, He, G., Liang, D., Liu, Z., Sun, Z., Wu, J., Xu, Z., Yan, D., Zhang, H. (2023). iEarth: an interdisciplinary framework in the era of big data and AI for sustainable development. National Science Review, nwad178, https://doi.org/10.1093/nsr/nwad178. 
  • (89) Zhang, X., Wu, J., Ng, M-K. (2023). Multilinear multitask learning by transformed tensor singular value decomposition. Machine Learning with Applications, 13, 100479. 
  • (88) Lee, C.K.F., Song, G., Muller-Landau, H.C., Wu, S., Wright, S.J., Cushman, K.C., Araujo, R.F., Bohlman, S., Zhao, Y., Lin, Z., Sun, Z., Cheng, P.C.Y., Ng, M-K., Wu, J*. (2023). Cost-effective and accurate monitoring of flowering across multiple tropical tree species over two years with a time series of high-resolution drone imagery and deep learning. ISPRS Journal of Photogrammetry and Remote Sensing, 201, 92-103. 
  • (87) Gu, Y., Zhao, Y., Guo, Z., Lin, M., Zhang, K., Wang, J., Lee, C.K.F., Xie, J., Wang, Y., Yan, Z., Zhang, H., Wu, J*. (2023). The underappreciated importance of solar radiation in constraining spring phenology of temperate ecosystems in the Northern and Eastern United States. Remote Sensing of Environment, 294, 113617. 
  • (86) Liu, S., Yan, Z.*, Wang, Z., Serbin, S.P., Visser, M., Zeng, Y., Ryu, Y., Su, Y., Guo, Z., Song, G., Wu, Q., Zhang, H., CHeng, K.H., Dong, J., Hau, B.C.H., Zhao, P., Yang, X., Liu, L., Rogers, A., Wu, J*. (2023). Mapping foliar photosynthetic capacity in sub-tropical and tropical forests with UAS-based imaging spectroscopy: scaling from leaf to canopy. Remote Sensing of Environment, 293, 113612. 
  • (85) Zhang, Z., Cescatti, A., Wang, Y., Gentine, P., Xiao, J., Guanter, L., Huete, A.R., Wu, J., Chen, J.M., Ju, W., Penuelas, J., Zhang, Y. (2023). Large diurnal compensatory effects mitigate the response of Amazonian forests to atmospheric warming and drying. Science Advances, 9, eabq4974, doi.org/10.1126/sciadv.abq4974. 
  • (84) Yan, Z., Sardans, J., Penuelas, J., Detto, M., Smith, N.G., Wang, H., Guo, L., Hughes, A.C., Guo, Z., Lee, C.K.F., Liu, L., Wu, J*. (2023). Global patterns and drivers of leaf photosynthetic capacity: the relative importance of environmental factors and evolutionary history. Global Ecology and Biogeography, 32, 668-682. 
  • (83) Wu, Q.#, Ke, L.#, Wang, J., Pavelsky, T., Allen, G., Sheng, Y., Duan, X., Zhu, Y., Wu, J., Wang, L., Liu, K., Chen, T., Zhang, W., Fan, C., Yong, B., Song, C. (2023). Satellites reveal hotspots of global river extent change. Nature Communications, 14, 1587. [This is Qianhan's master research supervised by Dr. Chunqiao Song]  
  • (82) Peng, Z., Wu, Y., Liu, W., Guo, L., Yang, L., Wang, B., Wang, X., Su, Y., Wu, J., Liu, L. (2023). Forliar nutrient resorption stoichiometry and microbial phosphatase catalytic efficiency together alleviate the relative phosphorus limitation in forest ecosystems. New Phytologist, 238, 1033-1044.
  • (81) Liu, X., Ma, Q., Wu, X., Hu, T., Dai, G., Wu, J., Tao, S., Wang, S., Liu, L., Guo, Q., Su, Y. (2023). Nonscalability of fractal dimension to quantify canopy structural complexity from individual trees to forest stands. Journal of Remote Sensing, https://doi.org/10.34133/remotesensing.0001.
  • (80) Wang, J.#, Song, G.#, Liddell, M., Morellato, P., Lee, C.K.F., Yang, D., Alberton, B., Detto, M., Ma, X., Zhao, Y., Yeung, H.C.H., Zhang, H., Ng, M., Nelson, B.W., Huete, A., Wu, J*. (2023). An ecologically-constrained deep learning model for tropical leaf phenology monitoring using PlanetScope satellites. Remote Sensing of Environment, 286, 113429.
  • (79) Wolfe, B.T., Detto, M., Zhang, Y., Anderson-Teixera, K., Brodribb, T., Collins, A.D., Crawford, C., Dickman, L.T., Ely, K., Francisco, J., Gurry, P.D., Hancock, H., King, C.T., Majekobaje, A.R., Mallett, C.J., McDowell, N.G., Mendheim, Z., Michaletz, S., Myers, D.B., Price, T.J., Rogers, A., Sack, L., Serbin, S.P., Siddiq, Z., Willis, D., Wu, J., Zailaa, J., Wright, J.S. (2023). Leaves as bottlenecks: the contribution of tree leaves to hydraulic resistance within the soil-plant-atmosphere continuum. Plant, Cell & Environment, 46, 736-746.
  • (78) Goncalves, N.B., Dalagnol, R., Wu, J., Pontes-Lopes, A., Stark, S.C., and Nelson, B.W. (2023) Amazon forest spectral seasonality is consistent across sensor resolutions and driven by leaf demography. ISPRS Journal of Photogrammetry and Remote Sensing, 106, 93-104.

2022
  • (77) Guo, Z., Still, C.J., Lee, C.K.F., Ryu, Y., Blonder, B., Wang, J., Bonebrake, T.C., Hughes, A., Li, Y., Yeung, H.C.H., Zhang, K., Law, Y.K., Lin, Z., and Wu, J*. (2022). Does plant ecosystem thermoregulation occur? An extratropical assessment at different spatial and temporal scales. New Phytologist, doi.org/10.1111/nph.18632.
  • (76) Ma, Q., Su, Y., Hu, T., Jiang, L,, Mi, X., Lin, L., Cao, M., Wang, X., Lin, F., Wang, B., Sun, Z., Wu, J., Ma, K., and Guo, Q. (2022). The coordinated impact of forest internal structural complexity and tree species diversity on forest productivity across forest biomes. Fundamental Research, doi.org/10.1016/j.fmre.2022.10.005.
  • (75) Zhao, Y., Lee, C.K.F., Wang, Z., Wang, J., Gu, Y., Xie, J., Law, Y.K., Song, G., Bonebrake, T.C., Yang, X., Nelson, B.W., and Wu, J*. (2022). Evaluating fine-scale leaf phenology from PlanetScope satellites with ground observations across temperate forests in eastern North America. Remote Sensing of Environment, 113310, doi.org/10.1016/j.rse.2022.113310.
  • (74) Law, Y.K., Lee, C.K.F.*, Pang, C.C., Hau, B.C.H., and Wu, J*. (2022). Vegetation regeneration on natural terrain landslides in Hong Kong: direct seeding of native species as a restoration tool. Land Degradation and Development,  doi.org/10.1002/LDR.4492.
  • (73) Yan, Z., Liu, S., and Wu, J*. (2022). Hyperspectral remote sensing of plant functional traits: monitoring techniques and future advances  (Review paper; in Chinese). Chinese Journal of Plant Ecology, 46, doi.org/10.17521/cjpe.2022.0223. 
  • (72) Jin J*, Yan T, Wang H, Ma X, He M, Wang Y, Wang W, Guo F, Cai Y, and Wu, J*. (2022). Improved modeling of canopy transpiration for temperate forests by incorporating a LAI-based dynamic parameterization scheme of stomatal slope. Agricultural and Forest Meteorology,  326, 109157.
  • (71) Wang, Z., Wang, C., Wang, X., Wang, B., Wu, J., and Liu, L. Aerosol pollution alters the diurnal dynamics of sun and shade leaf photosynthesis through different mechanisms. Plant, Cell & Environment, 45, 2943-2953.
  • (70) Wang, J., Lee, C.K.F., Zhu, X., Cao, R., Gu, Y., Wu, S., and Wu, J*. (2022). A new object-class based gap-filling method for PlanetScope satellite image time series. Remote Sensing of Environment, 280, 113136. 
  • (69) Zou, J., Ziegler, A.D., Chen, D., McNicol, G., Ciais, P., Jiang, X., Zheng, C., Wu, J., Wu, J., Lin, Z., He, X., Brown, L.E., Holden, J., Zhang, Z., Ramchunder, S.J., Chen, A., and Zeng, Z. (2022). Rewetting global wetlands effectively reduces major greenhouse gas emissions. Nature Geoscience, 15, 627-632. 
  • (68) Sabot, M.E.B., De Kauwe, M.G., Pitman, A.J., Medlyn, B.E., Ellsworth, D., Martin-StPaul, N., Wu, J., Choat, B., Limousin, J-M., Mitchell, P.J., Rogers, A., and Serbin, S.P. (2022). One stomatal model to rule them all? Towards improved representation of carbon and water exchange in global models. Journal of Advances in Modeling Earth Systems, 14, e2021MS002761.
  • (67) Guo, Z., Yan, Z., Majcher, B.M., Lee, C.K.F., Zhao, Y., Song, G., Wang, B., Wang, X., Deng, Y., Michaletz, S., Ryu, Y., Ashton, L.A., Lam, H-M., Wong, M.S., Liu, L., and Wu, J*. (2022). Dynamic biotic controls of leaf thermoregulation across the diel timescale. Agricultural and Forest Meteorology, 315, 108827.
  • (66) Liu, L., Chen, X., Ciais, P., Yuan, W., Maignan, F., Wu, J., Piao, S., Wang, Y.-P., Wigneron, J.-P., Fan, L., Gentine, P., Yang, X., Gong, F., Liu, H., Wang, C., Tang, X., Ye, Q., He, B., and Su, Y. (2022). Tropical tall forests are more sensitive and vulnerable to drought than short forests. Global Change Biology, 28, 1583-1595.
  • (65) Song, G., Wu, S., Lee, C.K.F., Serbin, S.P., Wolfe, B.T., Ng, M.K., Ely, K.S., Bogonovich, M., Wang, J., Lin, Z., Saleska, S., Nelson, B.W., Rogers, A., and Wu, J*. (2022). Monitoring leaf phenology in moist tropical forests by applying a superpixel-based deep learning method to time-series images of tree canopies. ISPRS Journal of Photogrammetry and Remote Sensing, 183, 19-33.

2021
  • (64) Visser, M.D., Detto, M., Meunier, F., Wu, J., Foster, J., Marvin, D.C., Bongalov, B., Nunes, M.H., Coomes, D., Verbeeck, H., Guzman, J.A., Sanchez-Azofeifa, A., Chandler, C.J., van der Heijden, G.M.F., Boyd, D.S., Foody, G.M., Cutler, M.E.J., Broadbent, E.N., Serbin, S.P., Schnitzer, S., Rodriguez-Ronderos, E., and Pacala, S. (2021). Why can we detect lianas from space? bioRxiv, doi.org/10.1101/2021/09.30.462145.
  • ​(63) Lamour, J., Davidson, K.J., Ely, K.S., Anderson, J.A., Rogers, A., Wu, J., and Serbin, S.P. (2021). Rapid estimation of photosynthetic leaf traits of tropical plants in diverse environmental conditions using reflectance spectroscopy. PLOS One, doi.org/10.1371/journal.pone.0258791.
  • ​(62) Wang, J., Yang, D., Chen, S., Zhu, X., Wu, S., Bogonovich, M., Guo, Z., Zhu, Z., and Wu, J*. (2021). Automatic cloud and cloud shadow detection in tropical areas for PlanetScope satellite images. Remote Sensing of Environment, 264, 112604.
  • (61) Li, Y., He, W., Wu, J., Zhao, P., Chen, T., Zhu, L., Ouyang, L., Ni, G., and Holscher, D. (2021). Leaf stoichiometry is synergistically-driven by climate, site, soil characteristics and phylogeny in karst areas, Southwest China. Biogeochemistry, 155, 283-301.
  • (60) Yan, Z., Guo, Z., Serbin, S., Song, G., Zhao, Y., Chen, Y., Wu, S., Wang, J., Wang, X., Li, J., Wang, B., Wu, Y., Su, Y., Wang, H., Rogers, A., Liu, L., and Wu, J*. (2021). Spectroscopy outperforms leaf trait relationships for predicting photosynthetic capacity across different forest types. New Phytologist, 232, 134-147.
  • (59) Chen, X., Ciais, P., Maignan, F., Zhan, Y., Bastos, A., Liu, L., Bacour, C., Fan, L., Gentine, P., Goll, D., Green, J., Kim, H., Li, L., Liu, Y., Peng, S., Tang, H., Viovy, N., Wigneron, J-P., Wu, J., Yuan, W., and Zhang, H. (2021). Vapor pressure deficits and sunlight explain seasonality of leaf phenology and photosynthesis across Amazonian evergreen broadleaved forest. Global Biogeochemical Cycles, 35, e2020GB006893.
  • (58) Ouyang, L., Wu, J., Zhao, P., Li, Y., Zhu, L., Ni, G., and Rao, X. (2021). Consumption of precipitation by evapotranspiration indicates potential drought for broadleaved and coniferous plantations in hilly lands of South China. Agricultural Water Management, 252, 106927.
  • (57) Pivovaroff, A.L., McDowell, N., Wolfe, B.T., Christoffersen, B., Davies, S., Dickman, L.T., Dickman, T., Grossiord, C., Leff, R.T., Rogers, A., Serbin, S.P., Wright, S.J., Wu, J., Xu, C., and Chambers, J.Q. (2021). Hydraulic architecture explains species moisture dependency but not mortality rates across a tropical rainfall gradient. Biotropica, 53, 1213-1225.
  • (56) Wang, X., Wang, C., Wu, J., Miao, G., Chen, M., Chen, S., Wang, S., Guo, Z., Wang Z., Wang, B., Li, J., Zhao, Y., WU, X., Zhao, C., Lin, W., Zhang, Y., and Liu, L. (2021). Intermediate aerosol loading enhances photosynthetic activity of croplands. Geophysical Research Letters, 48, e2020GL091893.
  • (55) Zarnetske, P.L., Gurevitch, J., Franklin, J., Groffman, P., Harrison, C., Hellmann, J., Hoffman, F.M., Kothari, S., Robock, A., Tilmes, S., Visioni, D., Wu, J., Xia, L., and Yang, C. (2021). Potential ecological impacts of climate intervention by reflecting sunlight to cool the Earth. PNAS, 118, e1931854118.  
  • (54) Wang, B., Wang, Z., Wang, C., Wang, X., Li, J., Jia, Z., Li, P., Wu, J., Chen, M., and Liu, L. (2021). Field evidence reveals conservative water use of poplar saplings under high aerosol conditions in Beijing. Journal of Ecology, 109, 2190-2202.
  • (53) Ouyang, L., Wu, J., Zhao, P., Zhu, L., and Ni, G. (2021). Stand age rather than soil moisture gradient dominantly regulates the compromise between plant growth and water use of Eucalyptus urophylla in hilly South China. Land Degradation and Development, 32, 2423-2436.
  • (52) Xu, X., Konings, A.G., Longo, M., Feldman, A., Xu, L., Saatchi, S., Wu, D., Wu, J., and Moorcroft, P. (2021). Leaf surface water, not plant water stress, drives diurnal variation in tropical forest canopy water content. New Phytologist, 231, 122-136.
  • (51) Ely, K., Rogers, A., Agarwal, D.A., Ainsworth, E.A., Albert, L., Ali, A., (70 coauthors), Wolfe, B.T., Wu, J., Wullschleger, S.D., Xu, C., Yan, Z., and Yang, D. (2021). A reporting format for leaf-level gas exchange data and metadata. Ecological Informatics, 61, 101232.  
  • (50) Wu, S., Wang, J., Yan, Z., Song, G., Chen, Y., Ma, Q., Deng, M., Wu, Y., Zhao, Y., Guo, Z., Yuan, Z., Dai, G., Xu, X., Yang, X., Su, Y., Liu, L., and Wu, J*. (2021). Monitoring tree-crown scale autumn leaf phenology in a temperate forest with an integration of PlanetScope and drone remote sensing observations. ISPRS Journal of Photogrammetry and Remote Sensing, 171, 36-48.  

2020
  • (49)  Abbas, S., Wong, M.S., Wu, J., Shahzad, N., and Irteza, S.M. (2020). Approaches of satellite remote sensing for the assessment of above-ground biomass across tropical forests: pan-tropical to national scales. Remote Sensing, 12, 3351.  
  • (48)  Smith, M.N., Taylor, T.C., van Haren, J., Rosolem, R., Restrepo-Coupe, N., Adams, J., Wu, J., de Oliveira, R.C., da Silva, R., de Araujo, A.C., de Camargo, P.B., Huxman, T.E., and Saleska, S.R. (2020). Empirical evidence for resilience of tropical forest photosynthesis in a warm world. Nature Plants, 6, 1225-1230.  
  • (47)  Tian, J., Zhu, X., Shen, Z., Wu, J., Xu, S., Liang, Z., and Wang, J. (2020). Investigating the urban-induced microclimate effects on winter wheat spring phenology using Sentinel-2 time series. Agricultural and Forest Meteorology, 294, 108153.  
  • (46)  Guan, H., Su, Y., Sun, X., Xu, G., Li, W., Ma, Q., Wu, X., Wu, J., Liu, L., and Guo, Q. (2020). A marker-free method for registering multi-scan terrestrial laser scanning data in forest environments. ISPRS Journal of Photogrammetry and Remote Sensing, 166, 82-94.
  • (45)  Wang, J., Yang, D., Detto, M., Nelson, B.W., Chen, M., Guan, K., Wu, S., Yan, Z., and Wu, J*. (2020). Multi-scale integration of satellite remote sensing improves characterization of dry-season green-up in an Amazon tropical evergreen forest. Remote Sensing of Environment, 111865.
  • (44)  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., and Miao, G. (2020). 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, 241, 111728.
  • (43)  Meacham-Hensold, K., Fu, P., Wu, J., Serbin,S.P., Montes, C.M., Ainsworth, E., Guan, K., Dracup, E.,  Pederson, T., and Bernacchi, C. (2020). Plot level rapid screening for photosynthetic parameters using proximal hyperspectral imaging. Journal of Experimental Botany, 71, 2312-2328.
  • (42)  Kimm, H., Guan, K., Gentine, P., Wu, J., Bernacchi, C.J., Sulman, B.N., Griffis, T.J., and Lin, C. (2020). Redefining droughts for the U.S. Corn Belt: the dominant role of VPD over soil moisture in regulating stomatal behavior of Maize and Soybean. Agricultural and Forest Meteorology, 287, 107930. 
  • (41)  Su, Y., Hu, T., Wang, Y., Li, Y., Dai, J., Liu, H., Jin, S., Ma, Q., Wu, J., Liu, L., Fang, J., and Guo, Q. (2020). Large-scale geographical variations and climatic controls on crown architecture traits. Journal of Geophysical Research-Biogeosciences, 125, e2019JG005306.
  • (40)  Wang, Z., Wang, C., Wang, B., Wang, X., Li, J., Wu, J., and Liu, L. (2020). Interactive effects of air pollutants and atmospheric moisture stress on aspen growth and photosynthesis along an urban-rural gradient. Environmental Pollution, 260, 114076. 
  • (39)  Fu, P., Meacham-Hensold, K., Guan, K., Wu, J., and Bernacchi, C. (2020). Estimating photosynthetic traits from reflectance spectra: A synthesis of spectral indices, numerical inversion, and partial east square regression. Plant, Cell & Environment, 43, 1241-1258. 
  • (38)  Tian, J., Zhu, X., Wu, J., Shen, M., and Chen, J. (2020). Coarse-resolution satellite images overestimate urbanization effects on vegetation spring phenology. Remote Sensing, 12, 117. 
  • (37)  Chen, X., Maignan, F., Viovy, N., Bastos, A., Goll, D., Wu, J., Liu, L., Yue, C., Peng, S., Yuan, W., da Conceicao, A.C., O'Sullivan, M., and Ciacis, P. (2020). Novel representation of leaf phenology improves simulation of Amazonian evergreen forest photosynthesis in a land surface model. Journal of Advances in Modeling Earth Systems, 12, e2018MS001565.
  • (36)  Goncalves, N.B., Lopes, A.P., Dalagnol, R., Wu, J., Pinho, D.M., and Nelson, B.W. (2020). Both near-surface and satellite remote sensing confirm drought legacy effect on tropical forest leaf phenology after the 2015/2016 ENSO drought. Remote Sensing of Environment, 237, 111489. 
  • (35)  Wu, J*., Serbin, S.P., Ely, K.S., Wolfe, B.T., Dickman, L.T., Grossiord, C., Michaletz, S.T., Collins, A.D., Detto, M., McDowell, N.G., Wright, S.J., and Rogers, A. (2020). The response of stomatal conductance to seasonal drought in tropical forests. Global Change Biology, 26, 823-839. 

2019
  • (34)  Serbin, S.P., Wu, J., Ely, K., Kruger, E., Townsend, P., Meng, R., Wolfe, B., Wang, Z., and Rogers, A. (2019). From the Arctic to the tropics: multi-biome prediction of leaf mass per area using leaf optical properties. New Phytologist, 224, 1557-1568.
  • (33)  Albert, L.P., Restrepo-Coupe, N., Smith, M.N., Wu, J., Chavana-Bryant, C., Prohaska, N., Taylor, T.C., Martins, G.A., Ciais, P., Mao, J., Arain, M.A., Li, W., Shi, X., Ricciuto, D.M., Huxman, T.E., McMahon, S.M., and Saleska, S.R. (2019). Cryptic phenology in plants: case studies, implications and recommendations. Global Change Biology, 25, 3591-3608. 
  • (32)  Wu, J*., Rogers, A., Albert, L.P., Ely, K., Prohaska, N., Wolfe, B.T., Oliviera, R., Saleska, S.R., and Serbin, S.P. (2019). Leaf reflectance spectroscopy captures variation in carboxylation capacity across species, canopy environment and leaf age in lowland moist tropical forests. New Phytologist, 224, 663-674.
  • (31)  Meacham-Hensold, K., Montes, C.M., Wu, J., Guan, K., Fu, P., Ainsworth, E.A., Pederson, T., Moore, C.E., Brown, K.L., Raines, C., and Bernacchi, C.J. (2019). High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity. Remote Sensing of Environment, 231, 111176.
  • (30)  Huang, M., Piao, S., Ciais, P., Penuelas, J., Wang, X., Keenan, T.F., Peng, S., Berry, J.A., Wang, K., Mao, J., Alkama, R., Cescatti, A., Cuntz, M., De Deurwaerder, H., Gao, M., He, Y., Liu, Y., Luo, Y., Myneni, R.B., Niu, S., Shi, X., Yuan, W., Verbeeck, H., Wang, T., Wu, J., and Janssens, I.A. (2019). Air temperature optima of vegetation productivity across global biomes. Nature Ecology & Evolution, 3, 772-779.
  • (29)  Dickman, L.T., McDowell, N.G., Grossiord, C., Collins, A.D., Wolfe, B.T., Detto, M., Wright, S.J., Medina-Vega, J.A., Goodsman, D., Rogers, A., Serbin, S.P., Wu, J., Ely, K.S., Michaletz, S.T., Xu, C., Kueppers, L., and Chambers, J.Q. (2019). Homoeostatic maintenance of nonstructural carbohydrates during the 2015–2016 El Niño drought across a tropical forest precipitation gradient. Plant, Cell & Environment, 42, 1705-1714.

2018
  • (28)  Hayek, N.H., Longo, M., Wu, J., Smith, M.N., Restrepo-Coupe, N., Tapajos, R., da Silva, R., Fitzjarald, D.R., Carmago, P.B., Hutyra, L.R., Alves, L.F., Daube, B., Munger, J.W., Wiedemann, K.T., Saleska, S.R., and Wofsy, S.C. (2018) Carbon exchange in an Amazon forest: from hours to years. Biogeosciences, 15, 4833-4848.
  • (27)  Wang, X., Wu, J., Chen, M., Xu, X., Wang, Z., Wang, B., Wang, C., Piao, S., Lin, W., Miao, G., Deng, M., Qiao, C., Wang, J., Xu, S., and Liu, L. (2018) Field evidences for the positive effects of aerosols on tree growth. Global Change Biology, 29, 4983-4992. 
  • (26)  Alves, E.G., Tota, J., Turnipseed, A., Guenther, A., Bustillos, V., Santana, R., Cirino, G., Tavares, J., Nelson, B., Souza, R., Gu, D., Stavrakou, T., Adams, D., Wu, J., Saleska, S., and Manzi, A. (2018) Leaf phenology as one important driver of seasonal changes in isoprene emission in central Amazonia. Biogeosciences, 15, 4019-4032. 
  • (25)  Zhang, Y., Xiao, X., Wolf, S., Wu, J., Wu, X., Gioli, B., Cesacatti, A., Tol, C., Wohlfahrt, G., Zhou, S., Gough, C., Gentine, P., Zhang, Y., Steinbrecher, R., and Adro, J. (2018) Sptatio-temporal convergence of maximum daily light use efficiency based on radiation absorption by canopy chlorophyll. Geophysical Research Letters, 45, 3508-3519.
  • (24)  Meng, R., Wu, J., Zhao, F., Cook, B.D., Hanavan, R.P., and Serbin, S.P. (2018) Measuring short-term post-fire forest recovery across a burn severity gradient in a mixed Pine Barrens ecosystem using multi-sensor remote sensing techniques. Remote Sensing of Environment, 210, 282-296.
  • (23)  Albert, L.P., Wu, J., Prohaska, N., de Camargo, P.B., Huxman, T.E., Tribuzy, E., Ivanove, V.Y., Oliveira, R., Garcia, S., Smith, M., Oliveira, R.C., Restrepo-Coupe, N., da Silva, R., Stark, S., Martins, G., Penha, D.V., and Saleska, S.R. (2018) Age-dependent leaf physiology and consequences for crown-scale carbon uptake during the dry season in an Amazon evergreen forest. New Phytologist, 219, 870-884.
  • (22)  Wu, J*., Kobayashi, H., Stark, S.C., Meng, R., Guan, K., Tran, N.N., Gao, S., Yang, W., Restrepo-Coupe, N., Miura, T., Oliviera, R.C., Rogers, A., Dye, D.G., Nelson, B.W., Serbin, S., Huete, A.R., and Saleska, S.R. (2018) Biological processes dominate seasonality of remotely sensed canopy greenness in an Amazon evergreen forest. New Phytologist, 217, 1507-1520.
  • (21)  Miao, G., Guan, K., Yang, X., Bernacchi, C., Berry, J., DeLucia, E., Wu, J., Moore, C., Kim, H., Cai, Y., Peng, B., Masters, M., and Meacham, K. (2018) Sun-induced chlorophyll fluorescence, photosynthesis, and light use efficiency of a soybean field. Journal of Geophysical Research: Biogeosciences, 123, 610-623.

2017
  • (20)  de Moura, Y.M., Galvao, L.S., Hilker, T., Wu, J., Saleska, S., do Amaral, C.H., Nelson, B.W., Lopes, A.P., Wiedemann, K.T., Prohaska, N., de Oliveira, R.C., Machado, C.B., and Aragao, L.E.O.C. (2017) Spectral analysis of Amazon canopy phenology during the dry season using a tower hyperspectral camera and MODIS observations. ISPRS Journal of Photogrammetry and Remote Sensing, 131, 52-64.
  • (19)  Guan, K., Wu, J., Kimball, J., Anderson, M.C., Frolkin, S., Li, B., and Lobell, D. (2017) The shared and unique value of optical, fluorescence, thermal and microwave satellite data for estimating large-scale crop yields. Remote Sensing of Environment, 199, 333-349.
  • (18)  Xu, X., Medvigy, D., Wright, S.J., Kitajima, K., Wu, J., Albert, L.P., Martins, G., Saleska, S.R., and Pacala, S. (2017) Variations of leaf longevity in tropical moist forests predicted by a trait-driven carbon optimality model. Ecology Letters, 20, 1097-1106.
  • (17)  Wu, J*., Serbin, S.P., Xu, X., Chen, M., Meng, R., Saleska, S.R., and Rogers, A. (2017) Phenology of leaf quality and its within-canopy variation are essential to model photosynthetic seasonality in tropical evergreen forests. Global Change Biology, 23, 4814-4827.
  • (16)  Wang, C., Chen, J., Wu, J., Tang, Y., Shi, P., Black, T., and 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.
  • (15)  Hilker, T., Galvao, L.S., Aragao, L.E.O.C., de Moura, Y.M., do Amaral, C.H., Lyapustin, A.I., Wu, J., Albert, L.P., Ferreira, M.J., Anderson, L.O., Santos, V.A.H.F., Prohaska, N., Tribuzy, E., Ceron, J.V.B., Saleska, S.R., Wang, Y., Goncalves, J.F.C., Oliveira, R.C., Rodrigues, J.V.F.C., and Garcia, M.N. (2017) Vegetation chlorophyll estimates in the Amazon from multi-angle MODIS observations and canopy reflectance model. International Journal of Applied Earth Observation and Geoinformation, 58, 278-287.
  • (14)  Wu, J*., Chavana-Bryant, C., Prohaska, N., Serbin, S.P., Guan, K., Albert, L.P., Yang, X., van Leeuwen, W.J.D., Garnello, A.J., Martins, G., Malhi, Y., Gerard, F., Oliviera, R.C., and Saleska, S.R*. (2017) Convergence in relationship between leaf traits, spectra and age across diverse canopy environments and two contrasting tropical forests. New Phytologist, 214, 1033-1048.
  • (13)  Chavana-Bryant, C., Malhi, Y., Wu, J., Asner, G.P., Anastajou, A., Enquist, B.J., Saleska, S.R., Doughty, C., and Gerard, F. (2017) Leaf aging of Amazonian canopy trees revealed by spectral and physiochemical measurements. New Phytologist, 214, 1049-1063.
  • (12)  Meng, R., Wu, J., Schwager, K., Brewer, K., Zhao, F., Denison, P.E., Cook, B., Green, T.M., and Serbin, S.P. (2017) Using high spatial resolution satellite imagery to map forest burn severity: from crowns to landscape. Remote Sensing of Environment, 191, 95-109.
  • (11)  Wu, J*., Guan, K., Hayek, M., Restrepo-Coupe, N., Wiedemann, K.T., Xu, X., Wehr, R., Christoffersen, B.O., Miao, G., Silva, R., Araujo, A.C., Oliviera, R.C., Camargo, P.B., Monson, R.K., Huete, A.R., and Saleska, S.R*. (2017) Partitioning controls on Amazon forest photosynthesis between environmental and biotic factors at hourly to interannual timescales. Global Change Biology, 23, 1240-1257.
  • (10)  Restrepo-Coupe, N., Levine, N., Christoffersen, B.O., Albert, L.P., Wu, J., Costa, M.H., Galbraith, D., Imbuzeiro, H., Martins, G., Araujo, A.C., Malhi, Y.S., Zeng, X., Moorcroft, P., and Saelska, S.R. (2017) Do dynamic global vegetation models capture the seasonality of carbon fluxes in the Amazon basin? A data-model inter-comparisons. Global Change Biology, 23, 191-208.

2016
  • (9)   Lopes, A.P., Nelson, B.W., Wu, J., Graca, P.M.L.A., Tavares, J.V., Prohaska, N., Martins, G., and Saleska, S.R. (2016) Leaf flush drives dry season green-up of the Central Amazon. Remote Sensing of Environment, 182, 90-98.
  • (8)   Yang, X., Tang, J., Mustard, J.F., Wu, J., Zhao, K., Serbin, S.P., and Lee, J.E. (2016) Seasonal variability of multiple leaf traits captured by leaf spectroscopy at two temperate deciduous forests. Remote Sensing of Environment, 179, 1-12.
  • (7)   Wu, J*., Albert, L.P., Lopes, A.P., Restrepo-Coupe, N., Hayek, M., Guan, K., Prohaska, N., Wiedemann, K., Kobayashi, H., Stark, S., Christoffersen, B., Marostica, S., Ferrita, M., da Silva, R., Dye, D., Huxman, T.E., Huete, A.R., Nelson, B.W., and Saleska, S.R*. (2016) Leaf development and demography explains photosynthetic seasonality in Amazon evergreen forests. Science, 351, 972-976.
  • (6)   Saleska, S.R., Wu, J., Guan, K., Restrepo-Coupe, N., Nobre, A.D., Araujo, A., and Huete, A.R. (2016) Dry-season greening of Amazon forests. Nature, 531, E4-E5.

2015 and earlier
  • (5)   Guan, K., Pan, M., Li, H., Wolf, A., Wu, J., Medvigy, D., Caylor, K.K., Sheffield, J., Wood, E.F., Malhi, Y., Liang, M., Kimball, J.S., Saleska, S.R., and Berry, J. (2015) Photosynthetic seasonality of global tropical forests constrained by hydroclimate. Nature Geoscience, 8, 284-289.
  • (4)   Stark, S.C., Leitold, V., Wu, J., Hunter, M.O., de Castilho, C.V., Costa, F.R.C., McMahon, S.M., Parker, G.G., Shimabukuro, M.T., Lefsky, M.A., Keller, M., Alves, L.F., Schietti, J., Shimabukuro, Y.E., Brandao, D.O., Woodcock, T.K., Higuchi, N., Camargo, P.B., Oliveira, R.C., and Saleska, S.R. (2012) Amazon forest carbon  dynamics predicted by profiles of canopy leaf area and light environment. Ecology Letters, 15, 1406-1414.
  • (3)   Chen, X., Chen, J., Jia, X., Sommers, B., Wu, J., and Coppin, P. (2011) A quantitative analysis of virtual endmembers’ increased impact on the collinearity effect in spectral unmixing. IEEE Transactions on Geoscience and Remote Sensing, 49, 2945-2956.
  • (2)   Wu, J., Yu, F., Chen, Z., and Chen, J*. (2009) Global sensitivity analysis of growth simulation parameters of winter wheat based on EPIC model (in Chinese). Transactions of the Chinese Society of Agricultural Engineering, 25, 136-142.
  • (1)   Zhu, X., Li, Q., Shen, M., Chen, J., and Wu, J. (2008) A methodology for multiple cropping index extraction based on NDVI time-series (in Chinese). Journal of Natural Resources, 23, 534-543. ​