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2024

Li, H., Li, F., Xiao, J., Chen, J., Lin, K., Bao, G., Liu, A., Wei, G. (2024) A Machine Learning Scheme for Estimating Fine-Resolution Grassland Aboveground Biomass over China with Sentinel-1/2 Satellite Images. Remote Sensing of Environment, in press.

Xiao, J., Sun, G., Potter, K., Boggs, J., Zhang, Q., McNulty, S. (2024) Do Experimental Forests and Ranges of the southeastern United States represent the climate, ecosystem structure, and ecosystem functions of the region? Journal of Forestry, in press. DOI: 10.1093/jofore/fvae020.

Duarte, H.F.*, Kim, J.B., Sun, G., McNulty, S., Xiao, J. (2024) Climate and vegetation change impacts on future Conterminous United States water yield. Journal of Hydrology, in press.

Zhang, J., Xiao, J., Zhang, J., Li, J., Liu, P., Yu, P., Meng, P. (2024) Comparing the performance of phenocam GCC, MODIS GCC, and MODIS EVI for retrieving vegetation phenology and estimating gross primary production. Ecological Indicators, 166, 112251. https://doi.org/10.1016/j.ecolind.2024.112251. [PDF]

Wang, X., Li, Z., Xiao, J., Zhu, G., Tan, J., Zhang, Y., Ge, Y., Che, T. (2024) Snow cover duration delays spring green-up in the northern hemisphere the most for grasslands. Agricultural and Forest Meteorology, 355, 110130. https://doi.org/10.1016/j.agrformet.2024.110130. [PDF]

Huang, Y., Zheng, G., Li, X., Xiao, J., Xu, Z., Tian, P. (2024) Habitat quality evaluation and pattern simulation of coastal salt marsh wetlands. Science of the Total Environment, 945,  174003. https://doi.org/10.1016/j.scitotenv.2024.174003. [PDF]

Qu, L.-P., Dong, G., Chen, J., Xiao, J., De Boeck, H.J., Chen, J., Jiang, S., Batkhishig, O., Legesse, T.G., Xin, X., Shao, C. (2024) Soil environmental anomalies dominate the responses of net ecosystem productivity to heatwaves in three Mongolian grasslands. Science of the Total Environment, 944, 173742. https://doi.org/10.1016/j.scitotenv.2024.173742. [PDF]

Ma, R., Zhang, Y., Ciais, P., Xiao, J., Xu, Y., Goll, D., Liang, S. (2024) Stepwise calibration of age-dependent biomass in the Integrated Biosphere Simulator (IBIS) model. Journal of Advances in Modeling Earth Systems, 16, e2023MS004048. https://doi.org/10.1029/2023MS004048. [PDF]

Liu, J., Baker, D., Basu, S., Bowman, K., Byrne, B., Chevallier, F., He, W., Jiang, F., Johnson, M.S., Kubar, T.L., Li, X., Liu, Z., Miller, S.M., Philip, S., Xiao, J., Yun, J., Zeng, N. (2024) The reduced net carbon uptake over northern hemisphere land causes the close-to-normal CO2 growth rate in 2021 La Niña. Science Advances, 10, eadl2201. DOI: 10.1126/sciadv.adl2201. [PDF]

Li, H., Cao, Y., Xiao, J., Yuan, Z., Hao, Z., Bai, X., Wu, Y., Liu, Y. (2024) A daily gap-free normalized difference vegetation index dataset from 1981 to 2023 in China. Scientific Data, 11, 527 (2024). https://doi.org/10.1038/s41597-024-03364-3. [PDF]

Huang, C., Huang, J., Xiao, J., Li, X., He, H.S., Liang, Y., Chen, F., Tian, H. (2023) Global convergence in the response of terrestrial gross primary production to atmospheric vapour pressure deficit. Science China Life Sciences, https://doi.org/10.1007/s11427-023-2475-9.

Ao, Z., Hu, X., Tao, S., Hu, X., Wang, G., Li, M., Wang, F., Hu, L., Liang, X., Xiao, J., Yusup,A., Qi, W., Ran, Q., Fang, J., Chang, J., Zeng, Z., Fu, Y., Xue, B., Wang, P., Zhao, K., Li, L., Li, W., Li, Y., Jiang, M., Yang, Y., Shen, H., Zhao, X., Shi, Y., Wu, B., Yan, Z., Wang, M., Su, Y., Hu, T., Ma, Q., Bai, H., Wang, L., Yang, Z. Feng, Y., Zhang, D., Huang, E., Pan, J., Ye, H., Yang, C., Qin, Y., He, C., Guo, Y., Cheng, K., Ren, Y., Yang, H., Zheng, C., Zhu, J., Wang, S., Ji, C., Zhu, B., Liu, H., Tang, Z., Wang, Z., Zhao, S., Tang, Y., Xing, H., Guo,, Q., Liu, Y., Fang, J. (2024) A national-scale assessment of land subsidence in China’s major cities. Science, 384, 301-306. DOI: 10.1126/science.adl4366. [PDF]

Lu, W.*, Xiao, J., Gao, H., Jia, Q., Li, Z., Liang, J., Xing, Q., Mao, D., Li, H., Chu, X., Chen, H., Guo, H., Han, G., Zhao, B., Chen, L., Lai, D.Y.F., Liu, S., Lin G. (2024) Carbon fluxes of China’s coastal wetlands and impacts of reclamation and restoration. Global Change Biology, 30, e17280. https://doi.org/10.1111/gcb.17280. [PDF]

Byrne, B., Liu, J., Bowman, K.W., Yin, Y., Yun, J., Ferreira, G.D., Olge, S.M., Baskaran, L., He, L., Li, X., Xiao, J., Davis, K.J. (2024) Regional inversion shows promise in capturing extreme-event-driven CO2 flux anomalies but is limited by atmospheric CO2 observational coverage. Journal of Geophysical Research: Atmospheres, 129, e2023JD040006. https://doi.org/10.1029/2023JD040006. [PDF]

Yu, L., Fan, L., Ciais, P., Xiao, J., Frappart, F., Sitch, S., Chen, J., Xiao, X., Fensholt, R., Chang, Z., Fang, H., Li, X., Cui, T., Ma, M., Wigneron, J.-P. (2024) Forest degradation contributes more to carbon loss than forest cover loss in North American boreal forests. International Journal of Applied Earth Observation and Geoinformation, 128, 103729. https://doi.org/10.1016/j.jag.2024.103729. [PDF]

Li, Y., Yan, S., Gong, Y., Xiao, J., Asgarimehr, M., Wickert, J. (2024) Soil moisture retrieval by a novel hybrid model based on CYGNSS and sun-induced fluorescence data. Journal of Hydrology, 632, 130845. https://doi.org/10.1016/j.jhydrol.2024.130845. [PDF]

Bu, J.*, Gan, G., Chen, J., Sun, Y., Yuan, M., Gao, Y., Domingo, F., Lopez-Ballesteros, A., Migliavacca, M., El-Madany, T.S., Gentine, P., Xiao, J., Garcia, M. (2024) Dryland evapotranspiration from remote sensing solar-induced chlorophyll fluorescence: constraining an optimal stomatal model within a two-source energy balance model. Remote Sensing of Environment, 303, 113999. https://doi.org/10.1016/j.rse.2024.113999. [PDF]

Qiu, R., Han, G., Li, X., Xiao, J., Liu, J., Wang, S., Li, S., Gong. W. (2024) Contrasting responses of relationship between solar-induced fluorescence and gross primary production to drought across aridity gradients. Remote Sensing of Environment, 302, 113984. https://doi.org/10.1016/j.rse.2023.113984. [PDF]

Dalmonech, D., Chiesi, M., Chirici, G., Fibbi, L., Giannetti, F., Marano, G., Massari, C., Nole, A., Vangi, E., Xiao, J., Collalti, A. (2024) Regional estimates of gross primary production applying the process-based model 3D-CMCC-FEM vs. remote-sensing multiple datasets. European Journal of Remote Sensing, 57, 2301657. https://doi.org/10.1080/22797254.2023.2301657. [PDF]

Wang, X., Chen, G., Awange, J., Song, Y., Wu, Q., Li, X., Feburary, E., Saiz, G., Kiese, R., Li, X., Xiao, J., Zhao, X., Wen, B. (2024) Establishing the global isoscape of leaf carbon in C3 plants through the integrations of remote sensing, carbon, geographic, and physiological information. Remote Sensing of Environment, 302, 113987. https://doi.org/10.1016/j.rse.2023.113987. [PDF]

Zheng, C., Wang, S., Chen, J.M., Xiao, J., Chen, J., Zhu, K., Sun, L. (2024) Modeling transpiration using solar-induced chlorophyll fluorescence and photochemical reflectance index synergistically in a closed-canopy winter wheat ecosystem. Remote Sensing of Environment, 302, 113981. https://doi.org/10.1016/j.rse.2023.113981. [PDF]

Liu, X., Chu, B., Tang, R., Liu, Y., Qiu, B., Gao, M., Li, X., Xiao, J., Sun, H.Z., Huang, X., Desai, A.R., Ding, A., Wang, H. (2023) Air quality improvements can strengthen China’s food security. Nature Food. https://doi.org/10.1038/s43016-023-00882-y. [PDF]

Qu, L., Chen, J., Xiao, J., De Boeck, H.J., Dong, G., Jiang, S., Hu, Y., Wang, Y., Shao, C. (2024) The complexity of heatwaves impact on terrestrial ecosystem carbon fluxes: Factors, mechanisms and a multi-stage analytical approach. Environmental Research, 240, 117495. https://doi.org/10.1016/j.envres.2023.117495. [PDF]

2023

Zhang,, M., Berry, J.A., Shiga, Y.P., Doughty, R.B., Madani, N., Li, X., Xiao, J., Wen, J., Sun, Y., Miller, S.M. (2023) Solar-induced fluorescence helps constrain global patterns in net biosphere exchange, as estimated using atmospheric CO2 observations. Journal of Geophysical Research: Biogeosciences, 128, e2023JG007703. https://doi.org/10.1029/2023JG007703. [PDF]

Miller, D.L., Wolf, S., Fisher, J.B., Zaitchik, B.F., Xiao, J., Keenan, T.F. (2023) Increased photosynthesis during spring drought in energy-limited ecosystems. Nature Communications, 4, 7828. https://doi.org/10.1038/s41467-023-43430-9. [PDF]

Zhang, Y., Desai, A.R., Xiao, J., Hartemink, A.E. (2023) Deeper topsoils enhance ecosystem productivity and climate resilience in arid regions, but not in humid regions. Global Change Biology, 29, 6794-6811. https://doi.org/10.1111/gcb.16944. [PDF]

Sun, S., Bi, Z., Xiao, J., Liu, Y., Sun, G., Ju, W., Liu, C., Mu, M., Li, J., Zhou, Y., Li, X., Liu, Y., Chen, H. (2023) A global 5km monthly potential evapotranspiration dataset (1982–2015) estimated by the Shuttleworth-Wallace model. Earth System Science Data, 15, 4849–4876. https://doi.org/10.5194/essd-15-4849-2023. [PDF]

Ji, Y., Zhan, W., Du, H., Wang, S., Li, L., Xiao, J., Liu, Z., Huang, F., Jin, J. (2023) Urban-rural gradient in vegetation phenology changes of over 1500 cities across China jointly regulated by urbanization and climate change. ISPRS Journal of Photogrammetry and Remote Sensing, 205, 367-384. https://doi.org/10.1016/j.isprsjprs.2023.10.015. [PDF]

Lv, Y., Zhang, L., Li, P., He, H., Ren, X., Xie, Z., Wang, Y., Wang, A., Shi, F., Chang, R., Xiao, J., Wang, X. (2023) Improving phenology representation of deciduous forests in the Community Land Model: Evaluation and modification using long-term observations in China. Journal of Advances in Modeling Earth Systems, 15, e2023MS003655. https://doi.org/10.1029/2023MS003655. [PDF]

Li, N., Xiao, J., Bai, R., Wang, J., Wu, L., Gao, W., Li, W., Chen, M., Li, Q. (2023) Preseason sunshine duration determines the start of growing season of natural rubber forests. International Journal of Applied Earth Observation and Geoinformation, 124, 103513. https://doi.org/10.1016/j.jag.2023.103513.

He, L., Wang, J., Ciais, P., Ballantyne, A., Yu, K., Zhang, W., Xiao, J., Ritter, F., Liu, Z., Wang, X., Li, X., Peng, S., Ma, C., Zhou, C., Li, Z., Xie, Y., Ye, J. (2023) Non-symmetric responses of leaf onset date to natural warming and cooling in northern ecosystems. PNAS Nexus, 2, pgad308. https://doi.org/10.1093/pnasnexus/pgad308.

Zhang, Q., Zhang, X., Lara, M.J., Li, Z., Xiao, J., Zhao, K., Hu, T. (2023) Impacts of abiotic and biotic factors on tundra productivity near Utqiaġvik, Alaska. Environmental Research Letters, 18, 094070. https://doi.org/10.1088/1748-9326/acf7d6. [PDF]

Guo, X., Xiao, J., Zha, T., Shang, G., Liu, P., Jin, C., Zhang, Y. (2023) Dynamics and biophysical controls of nocturnal water loss in a winter wheat-summer maize rotation cropland: a multi-temporal scale analysis. Agricultural and Forest Meteorology, 342, 109701. https://doi.org/10.1016/j.agrformet.2023.109701. [PDF]

Li, F., Xiao, J., Chen, J., Ballantyne, A., Jin, K., Li, B., Abraha, M., John, R. (2023) Global water use efficiency saturation due to increased vapor pressure deficit. Science, 381, 672-677. DOI: 10.1126/science.adf5041. [Free full text in PDF] (Highlighted by Science on the very top of its homepage)

Zhang, J., Gonsamo, A., Tong, X., Xiao, J., Rogers, C.A., Qin, S., Liu, P., Yu, P., Ma, P. (2023) Solar-induced chlorophyll fluorescence captures photosynthetic phenology better than traditional vegetation indices. ISPRS Journal of Photogrammetry and Remote Sensing, 203, 183-198. [PDF]

Li, X., Ryu, Y., Xiao, J., Dechant, B., Liu, J., Li, B., Jeong, S., Gentine, P. (2023) New-generation geostationary satellite reveals widespread midday depression in dryland photosynthesis during the 2020 western U.S. heatwave. Science Advances,  9, eadi077. DOI: 10.1126/sciadv.adi0775. [PDF]

Chang, Y.*, Xiao, J., Li, X., Weng, Q. (2023) Monitoring diurnal dynamics of surface urban heat island for urban agglomerations using ECOSTRESS land surface temperature observations. Sustainable Cities and Society, 98, 104833. https://doi.org/10.1016/j.scs.2023.104833. [PDF]

Chen, W., Liu, S., Zhao, S., Zhu, Y., Feng, S., Wang, Z., Wu, Y., Xiao, J., Yuan, W., Yan, W., Ju, H., Wang, Q. (2023) Temporal dynamics of ecosystem, inherent, and underlying water use efficiencies of forests, grasslands, and croplands and their responses to climate change. Carbon Balance and Management, 18, 13. https://doi.org/10.1186/s13021-023-00232-2. [PDF]

Wang, X., Blanken, P.D., Wood, J.D., Nouvellon, Y., Thaler, P., Gay, F., Kasemsap, P., Chidthaisong, A., Petchprayoon, P., Chayawat, C., Xiao, J., Li, X. (2023) Solar-induced chlorophyll fluorescence detects photosynthesis variations and drought effects in tropical rubber plantation and natural deciduous forests. Agricultural and Forest Meteorology, 339, 109591. https://doi.org/10.1016/j.agrformet.2023.109591. [PDF]

Crockett, E.T.H.*, Atkins, J.W., Guo, Q., Sun, G., Potter, K.M., Ollinger,S., Silva, C.A., Tang, H., Woodall, C.W., Holgerson, J., Xiao, J. (2023) Structural and species diversity explain aboveground carbon storage in forests across the United States: evidence from GEDI and forest inventory data. Remote Sensing of Environment, 295, 113703. https://doi.org/10.1016/j.rse.2023.113703. [PDF]

Zhou, D., Zhang, L., Hao, L., Sun, G., Xiao, J., Li, X. (2023) Large discrepancies among remote sensing indices for characterizing vegetation growth dynamics in Nepal. Agricultural and Forest Meteorology, 339, 109546. https://doi.org/10.1016/j.agrformet.2023.109546. [PDF]

He, W., Jiang, F., Ju, W., Byrne, B., Xiao, J., Nguyen, N.T., Wu, M., Wang, S., Wang, J., Rodenbeck, C., Li, X., Scholze, M., Monteil, G., Wang, H., Zhou, Y., He, Q., Chen, J.M. (2023) Do state-of-the-art atmospheric CO2 inverse models capture drought impacts on the European land carbon uptake? Journal of Advances in Modeling Earth Systems, 15, e2022MS003150. https://doi.org/10.1029/2022MS003150. [PDF]

Zhang, Z., Cescatti, A., Wang, Y.P., Gentine, P., Xiao, J., Guanter, L., Huete, A.R., Wu, J., Chen, J.M., Ju, W., Peñuelas, J., Zhang, Y. (2023) Large diurnal compensatory effects mitigate the response of Amazonian forests to atmospheric warming and drying. Science Advances, 9, eabq497. DOI: 10.1126/sciadv.abq4974. [PDF]

Fang, J., Li, X., Xiao, J., Yan, X., Li, B., Liu, F. (2023) Vegetation photosynthetic phenology dataset in northern terrestrial ecosystems. Scientific Data, 10, 300. https://doi.org/10.1038/s41597-023-02224-w. [PDF]

Wang, Y., Xiao, J., Ma, Y., Ding, J., Chen, X., Ding, Z., Luo, Y. (2023) Persistent and enhanced carbon sequestration capacity of alpine grasslands on the Earth’s Third Pole. Science Advances, 9, eade6875. DOI: 10.1126/sciadv.ade6875. [PDF]

Tong, X., Xiao, J., Liu, P., Zhang, J., Zhang, J., Meng, P., Li, J. (2023) Carbon exchange of forest plantations: global patterns and biophysical factors. Agricultural and Forest Meteorology, 336, 109379. https://doi.org/10.1016/j.agrformet.2023.109379. [PDF]

Wei, X., He, W., Zhou, Y., Cheng, N., Xiao, J., Bi, W., Liu, Y., Sun, S., Ju, W. (2023) Increased sensitivity of global vegetation productivity to drought over the recent three decades. Journal of Geophysical Research: Atmospheres, 128, e2022JD037504. https://doi.org/10.1029/2022JD037504. [PDF]

Zhang, W., Jin, H., Jamali, S., Duan, Z., Wu, M., Ran, Y., Ardo, J., Eklundh, L., Jonsoon, A.M., Sun, H., Hu, G., Wu, X., Yun, H., Wu, Q., Fu, Z., Yu, K., Tian, F., Tagesson, T., Li, X., Xiao, J. (2023) Convergence and divergence emerging in climatic controls of polynomial trends for northern ecosystem productivity over 2000-2018. Science of the Total Environment, 874, 162425. https://doi.org/10.1016/j.scitotenv.2023.162425. [PDF]

Gu, H., Yin, G., Yang, Y., Verger, A., Descals, A., Filella, I., Zeng, Y., Hao, D., Xie, Q., Li, X., Xiao, J., Penuelas, J. (2023) Satellite-detected Contrasting Responses of Canopy Structure and Leaf Physiology to Drought. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16, 2427-2436. [PDF]

Zhang, Z., Zhou, Y., Ju, W., Chen, J., Xiao, J. (2023) Accumulated soil moisture deficit better indicates the effect of soil water stress on light use efficiency of grasslands during drought years. Agricultural and Forest Meteorology, 329, 109276. https://doi.org/10.1016/j.agrformet.2022.109276. [PDF]

2022

Li, S., Zhang, L., Xiao, J., Ma, R., Tian, X., Yan, M. (2022) Simulating carbon and water fluxes using a coupled process-based terrestrial biosphere model and joint assimilation of leaf area index and surface soil moisture. Hydrology and Earth System Sciences, 26, 6311–6337. https://doi.org/10.5194/hess-26-6311-2022. [PDF]

Wang, J., Jiang, F., Ju, W., Wang, M., Sitch, S., Arora, V.K., Chen, J.M., Goll, D.S., He, W., Jain, A.K., Li, X., Joiner, J., Poulter, B., Seferian, R., Wang, H., Wu, M., Xiao, J., Yuan, W., Yue, X., Zaehle, S. (2022) Enhanced India-Africa carbon uptake and Asia-Pacific carbon release associated with the 2019 extreme positive Indian Ocean Dipole. Geophysical Research Letters, 49, e2022GL100950. https://doi.org/10.1029/2022GL100950. [PDF]

Krause, A., Papastefanou, P., Gregor, K., Layritz, L., Zang, C.S., Buras, A., Li, X., Xiao, J., Rammig, A. (2022) Quantifying the impacts of land cover change on gross primary productivity globally. Scientific Reports, 12, 18398. https://doi.org/10.1038/s41598-022-23120-0. [PDF]

Byrne, B., Liu, J., Yi, Y., Chatterjee, A., Basu, S., Cheng, R., Doughty, R., Chevallier, F., Bowman, K.W., Parazoo, N.C., Crisp, D., Li, X., Xiao, J., Sitch, S., Guenet, B., Deng, F., Johnson, M.S., Philip, S., McGuire, P.C., Miller, C.E. (2022) Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia. Biogeosciences, 19, 4779–4799. https://doi.org/10.5194/bg-19-4779-2022. [PDF]

Guerrieri, R., Belmecheri, S., Asbjornsen, H., Xiao, J., Hollinger, D., Clark, K., Jennings, K., Kolb, T., Munger, J.W., Richardson, A.D., Ollinger, S.V. (2022) Detecting long-term changes in stomatal conductance: challenges and opportunities of tree-ring δ18O proxy. New Phytologist, 236, 809–812. DOI: 10.1111/nph.18430. [PDF]

Bai, J., Zhang, H., Sun, R., Li, X., Xiao, J., Wang, Y. (2022) Estimation of global GPP from GOME-2 and OCO-2 SIF by considering the dynamic variations of GPP-SIF relationship. Agricultural and Forest Meteorology, 326, 109180. https://doi.org/10.1016/j.agrformet.2022.109180. [PDF

Ma, R., Xiao, J., Liang, S., Ma, H., He, T., Guo, D., Liu, X., Lu, H. (2022) Pixel-level parameter optimization of a terrestrial biosphere model for improving estimation of carbon fluxes with an efficient model-data fusion method and satellite-derived LAI and GPP data. Geoscientific Model Development, 15, 6637–6657. [PDF]

Wang, M., Li, P., Peng, C., Xiao, J., Zhou, X., Luo, Y., Zhang, C. (2022) Divergent responses of autumn vegetation phenology to climate extremes over northern middle and high latitudes. Global Ecology and Biogeography,31, 2281-2296. https://doi.org/10.1111/geb.13583. [PDF]

Venkatesh, K., John, R., Chen, J., Xiao, J., Amirkhiz, R.G., Giannico, V., Kussainova, M. (2022) Optimal ranges of social-environmental drivers and their impacts on vegetation dynamics in Kazakhstan. Science of the Total Environment, 847, 157562. https://doi.org/10.1016/j.scitotenv.2022.157562. [PDF]

Fu, Y., Li, X., Chen, S., Wu, Z., Su, J., Li, X., Li, S., Zhang, J., Tang, J., Xiao, J. (2022) Soil moisture regulates warming responses of autumn photosynthetic transition dates in subtropical forests. Global Change Biology, 28, 4935-4946. https://doi.org/10.1111/gcb.16227. [PDF]

Qiu, R.*, Li., X., Han, G., Xiao, J., Ma, X., Gong, W. (2022) Monitoring drought impacts on crop productivity of the U.S. Midwest with solar-induced fluorescence: GOSIF outperforms GOME-2 SIF and MODIS NDVI, EVI, and NIRv. Agricultural and Forest Meteorology, 323, 109038. https://doi.org/10.1016/j.agrformet.2022.109038. [PDF]

Zhou, W., Liu, Y., Ata-Ul-Karim, S.T., Ge, Q., Li, X., Xiao, J. (2022) Integrating climate and satellite remote sensing data for predicting county-level wheat yield in China using machine learning methods. International Journal of Applied Earth Observation and Geoinformation, 111, 102861. https://doi.org/10.1016/j.jag.2022.102861. [PDF]

Shu, Y., Liu, S., Wang, Z., Xiao, J., Shi, Y., Peng, X., Gao, H., Wang, Y., Yuan, W., Yan, W., Ning, Y., Li, Q. (2022) Effects of aerosols on gross primary production from ecosystems to the globe. Remote Sensing, 14(12), 2759; https://doi.org/10.3390/rs14122759. [PDF]

Zeng, Y., Hao, D., Huete, A., Dechant, B., Berry, J., Chen, J., Joiner, J., Frankenberg, C., Bond-Lamberty, B., Ryu, Y., Xiao, J., Asrar, G.R., Chen, M. (2022) Optical vegetation indices for monitoring terrestrial ecosystems globally. Nature Reviews Earth & Environment, https://doi.org/10.1038/s43017-022-00298-5. [PDF]

Xue, B.*, A, Y., Wang, G., Helman, D., Sun, G., Tao, S., Liu, T., Yan, D., Zhao, T., Zhang, H., Chen, L., Sun, W., Xiao, J. (2022) Divergent hydrological responses to forest expansion in dry and wet basins of China: Implications for future afforestation planning. Water Resources Research, 58, e2021WR031856. https://doi.org/10.1029/2021WR031856. [PDF]

Li, H., Wu, Y., Liu, S., Zhao, W., Xiao, J., Winowiecki, L.A., Vagen, T.-G., Xu, J., Yin, X., Wang, F., Sivakumar, B., Cao, Y., Sun, P., Zhang, G. (2022) The Grain-for-Green project offsets warming-induced soil organic carbon loss and increases soil carbon stock in Chinese Loess Plateau. Science of the Total Environment, 837, 155469. https://doi.org/10.1016/j.scitotenv.2022.155469. [PDF]

Zhou, D., Xiao, J., Frolking, S., Zhang, L., Zhou, G. (2022) Urbanization contributes little to global warming but substantially intensifies local and regional land surface warming. Earth's Future, 10, e2021EF002401. https://doi.org/10.1029/2021EF002401. [PDF]

Ranjan, A.K., Dash, J., Xiao, J., Gorai1, A.K. (2022) Vegetation activity enhanced in India during the COVID-19 lockdowns: evidence from satellite data. Geocarto International, DOI: 10.1080/10106049.2022.2071469. [PDF

Li, H., Wu, Y., Liu, S., Xiao, J., Zhao, W., Chen, J., Alexandrov, G., Cao, Y. (2022) Decipher soil organic carbon dynamics and driving forces across China using machine learning. Global Change Biology, 28, 3394-3410. https://doi.org/10.1111/gcb.16154. [PDF]

Wei, X., He, W., Zhou, Y., Ju, W., Xiao, J., Li, X., Liu, Y., Xu, S., Bi, W., Zhang, X., Cheng, N. (2022) Global assessment of lagged and cumulative effects of drought on grassland gross primary production. Ecological Indicators, 136, 108646. https://doi.org/10.1016/j.ecolind.2022.108646. [PDF]

Chang, Y.*, Xiao, J., Li, X., Zhou, D., Wu, Y. (2022) Combining GOES-R and ECOSTRESS land surface temperature data to investigate diurnal variations of surface urban heat island. Science of the Total Environment, 823, 153652. https://doi.org/10.1016/j.scitotenv.2022.153652. [PDF]

Zhu, G.+, Wang, X.+, Xiao, J.+, Zhang, K., Wang, Y., He, H., Li, W., Chen, H. (2022) Daytime and nighttime warming has no opposite effects on vegetation phenology and productivity in the northern hemisphere. Science of the Total Environment, 822, 153386. https://doi.org/10.1016/j.scitotenv.2022.153386. (+ Co-first authors) [PDF]

Zhang, J., Xiao, J., Tong, X., Zhang, J., Meng, P., Li, J., Liu, P., Yu, P. (2022) NIRv and SIF better estimate phenology than NDVI and EVI: effects of spring and autumn phenology on ecosystem production of planted forests. Agricultural and Forest Meteorology, 315, 108819. https://doi.org/10.1016/j.agrformet.2022.108819. [PDF]

Tang, X., Xiao, J., Ma, M., Yang, H., Li, X., Ding, Z., Yu, P., Zhang, Y., Wu, C., Huang, J., Thompson, J.R. (2022) Satellite evidence for China's leading role in restoring vegetation productivity over global karst ecosystems. Forest Ecology and Management, 507, 120000. https://doi.org/10.1016/j.foreco.2021.120000. [PDF]

Wang, Y., Xiao, J.,Li, X., Niu, S. (2022) Global evidence on the asymmetric response of gross primary productivity to interannual precipitation changes. Science of the Total Environment, 814, 152786. https://doi.org/10.1016/j.scitotenv.2021.152786. [PDF]

Li, X.*, Xiao, J. (2022) TROPOMI observations allow for robust exploration of the relationship between solar-induced chlorophyll fluorescence and terrestrial gross primary production. Remote Sensing of Environment, 268, 112748. https://doi.org/10.1016/j.rse.2021.112748. [PDF]

Leite, R.V., Silva, C.A., Broadbent, E.N., do Amaral, C.H., Lisenberg, V., de Almeida, D.R.A., Mohan, M., Godinho, S., Cardil, A., Hamamura, C., de Faria, B.L., Brancalion, P.H.S., Hirsch, A., Marcatti,  G.E., Corte, A.P.D., Zambrano, A.M.A., da Costa, M.B.T., Matricardi, E.A.T., da Silva, A.L., Goya, L.R.R.Y., Valbuena, R., de Mendonca, B.A.F., Silva, C.H.L., Aragao, L.E.O.C., Garcia, M., Liang, J., Merrick, T., Hudak, A.T., Xiao, J., Hancock, S., Duncason, L., Ferreira, M.P., Valle, D., Saatchi, S., Klauberg, C. (2022) Large scale multi-layer fuel load characterization in tropical savanna using GEDI spaceborne lidar data. Remote Sensing of Environment, 268, 112764. https://doi.org/10.1016/j.rse.2021.112764. [PDF]

Ding, L.*, Li, Z., Shen, B., Wang, X., Xu, D., Yan, R., Yan, Y., Xin, X., Xiao, J., Li, M., Wang, P. (2022) Spatial patterns and driving factors of aboveground and belowground biomass over the eastern Eurasian steppe. Science of the Total Environment, 803, 149700. https://doi.org/10.1016/j.scitotenv.2021.149700. [PDF]

2021

He, X., Xu, T., Bateni, S.M., Ki, S.J., Xiao, J., Liu, S., Song, L., He, X. (2021) Estimation of turbulent heat fluxes and gross primary productivity by assimilating land surface temperature and leaf area index. Water Resources Research, 57, e2020WR028224. https://doi.org/10.1029/2020WR028224. [PDF]

Wang, Y., Xiao, J., Ma, Y., Luo, Y., Hu, Z., Li, F., Li, Y., Gu, L., Li, Z., Yuan, L. (2021) Carbon fluxes and environmental controls across different alpine grassland types on the Tibetan Plateau. Agricultural and Forest Meteorology, 311, 108694. https://doi.org/10.1016/j.agrformet.2021.108694. [PDF]

Chen, A., Mao, J., Ricciuto, D., Lu, D., Xiao, J., Li, X., Thornton, P.E., Knapp, A.K. (2021) Seasonal changes in GPP/SIF ratios and their climatic determinants across the Northern Hemisphere. Global Change Biology, 27, 5186-5197. [PDF]

Zhou, D., Xiao, J., Frolking, S., Liu, S., Zhang, L., Cui, Y., Zhou, G. (2021) Croplands intensify regional and global warming according to satellite observations. Remote Sensing of Environment, 264, 112585. https://doi.org/10.1016/j.rse.2021.112585. [PDF]

Watts, J.D., Natali, S.M., Minions, C., Risk, D., Arndt, K., Zona, D., Euskirchen, E.S., Rocha, A., Sonnentag, O., Helbig, M., Kalhori, A., Oechel, W., Ikawa, H., Ueyama, M., Suzuki, R., Kobayashi, H., Celis, G., Schuur, T., Humphreys, E., Kim, Y., Lee, B.-Y., Goetz, S., Madani, N., Schiferl, L.D., Commane, R., Kimball, J.S., Liu, Z., Torn, M.S., Potter, S., Wang, J.A., Jorgenson, M.T., Xiao, J., Li, X., Edgar, C. (2021) Soil respiration strongly offsets carbon uptake in Alaska and Northwest Canada. Environmental Research Letters, 16, 084051. https://doi.org/10.1088/1748-9326/ac1222. [PDF]

Xue, B., Helman, D., Wang, G., Xu, C.-Y., Xiao, J., Liu, T., Wang, L., Li, X., Duan, L., Lei, H. (2021) The low hydrologic resilience of Asian Water Tower basins to adverse 1 climatic changes. Advances in Water Resources, 155, 103996. https://doi.org/10.1016/j.advwatres.2021.103996. [PDF]

Masri, B.E., Stinchcomb, G.E., Cetin, H., Ferguson, B., Kim, S.L., Xiao, J., Fisher, J.B. (2021) Linking remotely sensed carbon and water use efficiencies with in-situ soil properties. Remote Sensing, 13(13), 2593. https://doi.org/10.3390/rs13132593. [PDF]

Xiao, J., Fisher, J.B., Hashimoto, H., Ichii, K., Parazoo, N.C. (2021) Emerging satellite observations for diurnal cycling of ecosystem processes. Nature Plants, 7, 877-887. https://doi.org/10.1038/s41477-021-00952-8. [PDF] [view-only version]

Chang, Y.*, Xiao, J., Li, X., Middel, A., Zhang, Y., Gu, Z., Wu, Y., He, S. (2021) Exploring diurnal thermal variations in urban local climate zones with ECOSTRESS land surface temperature data. Remote Sensing of Environment, 263, 112544. https://doi.org/10.1016/j.rse.2021.112544. [PDF] (Highlighted by LP DAAC, USGS)

Wang, Q., Imasu, R., Arai, Y., Ito, S., Mizoguchi, Y., Kondo, H., Xiao, J. (2021) Sub-daily natural CO2 flux simulation based on satellite data: diurnal and seasonal pattern comparisons to anthropogenic CO2 emissions in the Greater Tokyo Area. Remote Sensing, 13(11), 2037; https://doi.org/10.3390/rs13112037. [PDF]

Ren, P., Liu, Z., Zhou, X., Peng, C., Xao, J., Wang, S., Li, X., Li, P. (2021) Strong controls of daily minimum temperature on the autumn photosynthetic phenology of subtropical vegetation in China. Forest Ecosystems, 8, 31. https://doi.org/10.1186/s40663-021-00309-9. [PDF]

Li, X., Fu, Y.H., Chen, S., Xiao, J., Yin, G., Li, X., Zhang, X., Geng, X., Wu, Z., Zhou, X., Tang, J., Hao, F. (2021) Increasing importance of precipitation in spring phenology with decreasing latitudes in subtropical forest area in China. Agricultural and Forest Meteorology, 304-305, 108427. https://doi.org/10.1016/j.agrformet.2021.108427. [PDF]

Hao, D., Asrar, G.R., Zeng, Y., Yang, X., Li, X., Xiao, J., Guan, K., Wen, J., Xiao, Q., Berry, J.A., Chen, M. (2021) Potential of hotspot solar-induced chlorophyll fluorescence for better tracking terrestrial photosynthesis. Global Change Biology, 27, 2144-2158. [PDF]

Li, H., Wu, Y., Liu, S., Xiao, J. (2021) Regional contributions to interannual variability of net primary production and  climatic attributions. Agricultural and Forest Meteorology, 303, 108384. https://doi.org/10.1016/j.agrformet.2021.108384. [PDF]

Li, X.*, Xiao, J., Fisher, J.B., Baldocchi, D.D. (2021) ECOSTRESS estimates gross primary production with fine spatial resolution for different times of day from the International Space Station. Remote Sensing of Environment, 258, 112360. https://doi.org/10.1016/j.rse.2021.112360. [PDF]

Wang, H.*, Xiao, J. (2021) Improving the capability of the SCOPE model for simulating solar-induced fluorescence and gross primary production using data from OCO-2 and flux towers. Remote Sensing, 13(4), 794; https://doi.org/10.3390/rs13040794. [PDF]

Chen, A., Mao, J., Ricciuto, D., Xiao, J., Frankenberg, C., Li, X., Thornton, P.E., Gu, L., Knapp, A.K. (2021) Moisture availability mediates the relationship between terrestrial gross primary production and solar-induced fluorescence: Insights from global scale variations. Global Change Biology, 27, 1144-1156. [PDF]

Shi, Y., Liu, S., Yan, W., Zhao, S., Ning, Y., Peng, X., Chen, W., Chen, L., Hu, X., Fu, B., Kennedy, R., Lv, Y., Liao, J., Peng, C., Rosa, I.M.D., Roy, D., Shen, S., Smith, A., Wang, C., Wang, Z., Xiao, L., Xiao, J., Yang, L., Yuan, W., Yi, M., Zhang, H., Zhao, M., Zhu, Y. (2021) Influence of landscape features on urban land surface temperature: Scale and neighborhood effects. Science of the Total Environment, 771, 145381. https://doi.org/10.1016/j.scitotenv.2021.145381. [PDF]

Huang, X.*, Xiao, J., Ma, M., Wang, X. (2021) Improving the global MODIS GPP model by optimizing parameters with FLUXNET data. Agricultural and Forest Meteorology, 300, 108314. https://doi.org/10.1016/j.agrformet.2020.108314. [PDF]

Chang, Y.*, Xiao, J., Li, X., Frolking, S., Zhou, D., Schneider, A., Weng, Q., Yu, P., Wang, X., Li, X., Liu, S., Wu, Y. (2021) Exploring diurnal cycles of surface urban heat island intensity in Boston with land surface temperature data derived from GOES-R geostationary satellites. Science of the Total Environment, 763, 144224. https://doi.org/10.1016/j.scitotenv.2020.144224. [PDF]

Zhao, J.*, Feng, H., Xu, T., Xiao, J., Guerrieri, R., Liu, S., Wu, X., He, X., He, X. (2021) Physiological and environmental control on ecosystem water use efficiency in response to drought across the northern hemisphere.  Science of the Total Environment, 758, 143599. https://doi.org/10.1016/j.scitotenv.2020.143599. [PDF]

Wang, H., Li, X., Xiao, J., Ma, M. (2021) Evapotranspiration components and water use efficiency from desert to alpine ecosystems in drylands. Agricultural and Forest Meteorology, 298–299, 108283. https://doi.org/10.1016/j.agrformet.2020.108283. [PDF]

Zhang, Q., Wang, Q., Zhu, J., Xu, L., Li, M., Rengel, Z., Xiao, J., Hobbie, E.A., Piao, S., Luo, W., He, N. (2021) Higher soil acidification risk in southeastern Tibetan Plateau. Science of the Total Environment, 755, 143372. https://doi.org/10.1016/j.scitotenv.2020.143372. [PDF]

Chen, S., Zhang, Y., Wu, Q., Liu, S., Song, C., Xiao, J., Band, L.E. Vose, J.M. (2021) Vegetation structural change and CO2 fertilization more than offset gross primary production decline caused by reduced solar radiation in China. Agricultural and Forest Meteorology, 296, 108207. https://doi.org/10.1016/j.agrformet.2020.108207. [PDF]

2020

Xue, B., Wang, G., Xiao, J., Helman, D., Sun, W., Wang, J., Liu, T. (2020) Global convergence but regional disparity in the hydrological resilience of ecosystems and watersheds to drought. Journal of Hydrology, 591, 125589. https://doi.org/10.1016/j.jhydrol.2020.125589. [PDF]

Xue, B., Wang, G., Xiao, J., Tan, Q., Shrestha, S., Sun, W., Liu, T. (2020) Global evapotranspiration hiatus explained by vegetation structural and physiological controls. Ecological Engineering, 158, 106046. https://doi.org/10.1016/j.ecoleng.2020.106046. [PDF]

Li, X.*, Xiao, J., Kimball, J.S., Reichle, R.H., Scott, R.L., Litvak, M.E., Bohrer, G., Frankenberg, C. (2020) Synergistic use of SMAP and OCO-2 data in assessing the responses of ecosystem productivity to the 2018 U.S. drought. Remote Sensing of Environment, 251, 112062. https://doi.org/10.1016/j.rse.2020.112062. [PDF]

Xu, H.*, Xiao, J., Zhang, Z., Ollinger, S.V., Hollinger, D.Y., Pan, Y., Wan, J. (2020) Canopy photosynthetic capacity drives contrasting age dynamics of resource use efficiencies between mature temperate evergreen and deciduous forests. Global Change Biology,  26, 6156-6167. [PDF]

Maes, W.H., Pagán, B.R., Martens, B., Gentine, P., Guanter, L., Steppe, K., Verhoest, N.E.C., Dorigo, W., Li, X.*, Xiao, J., Miralles, D.G. (2020) Sun-induced fluorescence closely linked to ecosystem transpiration as evidenced by satellite data and radiative transfer models. Remote Sensing of Environment, 249, 112030. https://doi.org/10.1016/j.rse.2020.112030. [PDF]

Deng, J.*, Xiao, J., Ouimette, A., Zhang, Y., Sanders-DeMott, R., Frolking, S., Li, C. (2020) Improving a biogeochemical model to simulate surface energy, greenhouse gas fluxes, and radiative forcing for different land use types in Northeastern United States. Global Biogeochemical Cycles, 34, e2019GB006520. https://doi.org/10.1029/2019GB006520. [PDF]

Xu, H.*, Xiao, J., Zhang, Z. (2020) Heatwave effects on gross primary production of northern mid-latitude ecosystems. Environmental Research Letters, 15, 074027. https://doi.org/10.1088/1748-9326/ab8760. [PDF]

Li, X.*, Xiao, J. (2020) Global climatic controls on interannual variability of ecosystem productivity: similarities and differences inferred from solar-induced chlorophyll fluorescence and enhanced vegetation index. Agricultural and Forest Meteorology, 288-289, 108018. https://doi.org/10.1016/j.agrformet.2020.108018. [PDF]

Zhang, Q., Wang, Q., Zhu, J., Xu, L., Chen, Z., Xiao, J., He, N. (2020) Spatiotemporal variability, source apportionment, and acid-neutralizing capacity of atmospheric wet base-cation deposition in China. Environmental Pollution, 262, 114335. https://doi.org/10.1016/j.envpol.2020.114335. [PDF]

Xu, H.*, Zhang, Z., Xiao, J., Chen, J., Zhu, M. Cao, W., Chen, Z. (2020) Environmental and canopy stomatal control on ecosystem water use efficiency in a riparian poplar plantation. Agricultural and Forest Meteorology, 287, 107953. https://doi.org/10.1016/j.agrformet.2020.107953. [PDF]

Zhang, L., Xiao, J., Zheng, Y., Li, S., Zhou, Y. (2020) Increased carbon uptake and water use efficiency in global semi-arid ecosystems. Environmental Research Letters, 15, 034022. https://doi.org/10.1088/1748-9326/ab68ec. [PDF]

Li, C., Sun, G., Cohen, E., Zhang, Y., Xiao, J., McNulty, S.G., Meentemeyer, R.K. (2020) Modeling the impacts of urbanization on watershed-scale gross primary productivity and tradeoffs with water yield across the conterminous United States. Journal of Hydrology, 583, 124581. https://doi.org/10.1016/j.jhydrol.2020.124581. [PDF]

Contosta, A., Lerman, S., Xiao, J., Varner, R. (2020) Biogeochemical and socioeconomic drivers of above- and below-ground carbon stocks in urban residential yards of a small city. Landscape and Urban Planning, 196, 103724. https://doi.org/10.1016/j.landurbplan.2019.103724. [PDF]

Zhao, J., Xu, T., Xiao, J., Liu, S., Mao, K., Song, L., Yao, Y., He, X., Feng, H. (2020) Responses of water use efficiency to drought in Southwest China. Remote Sensing, 12, 199. https://doi.org/10.3390/rs12010199. [PDF]

Zhao, F., Wu, Y., Wang, L., Liu, S., Wei, X., Xiao, J., Qiu, L., Sun, P. (2020) Multi-environmental impacts of biofuel production in the U.S. Corn Belt: A coupled hydro-biogeochemical modeling approach. Journal of Cleaner Production, 251, 119561, https://doi.org/10.1016/j.jclepro.2019.119561. [PDF]

2019

Li, X.*, Xiao, J. (2019) Mapping photosynthesis solely from solar-induced chlorophyll fluorescence: A global, fine-resolution dataset of gross primary production derived from OCO-2. Remote Sensing, 11(21), 2563; https://doi.org/10.3390/rs11212563. [PDF]

Xiao, J., Chevallier, F., Gomez, C., Guanter, L., Hicke, J.A., Huete, A.R., Ichii, K., Ni, W., Pang, Y., Rahman, A.F., Sun, G., Yuan, W., Zhang, L., Zhang, X. (2019) Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years. Remote Sensing of Environment, 233, 111383. https://doi.org/10.1016/j.rse.2019.111383. [PDF]

Lu, W.*, Xiao, J., Cui, X., Xu, F., Lin, G., Lin, G. (2019) Insect outbreaks have transient effects on carbon fluxes and vegetative growth but longer-term impacts on reproductive growth in a mangrove forest. Agricultural and Forest Meteorology, 279, 107747, https://doi.org/10.1016/j.agrformet.2019.107747.

Sun, P., Wu, Y., Xiao, J., Hui, J., Hu, J., Zhao, F., Qiu, L., Liu, S. (2019) Remote sensing and modeling fusion for investigating the ecosystem water-carbon coupling processes. Science of the Total Environment, 697, 134064, https://doi.org/10.1016/j.scitotenv.2019.134064.

Wang, H.*, Li, X., Xiao, J., Ma, M., Tan, J., Wang, X., Geng, L. (2019) Carbon fluxes across alpine, oasis, and desert ecosystems in northwestern China: the importance of water availability. Science of the Total Environment, 697, 133978, https://doi.org/10.1016/j.scitotenv.2019.133978.

Guerrieri, R., Belmecheri, S., Ollinger, S.V., Asbjornsen, H., Jennings, K., Xiao, J., Stocker, B.D., Martin, M., Hollinger, D.Y., Bracho-Garrillo, R., Clark, K., Dore, S., Kolb, T.E., Munger, J.W., Novick, K., Richardson, A. (2019) Disentangling the role of photosynthesis and stomatal conductance on rising forest water-use efficiency. Proceedings of the National Academy of Sciences of the United States of America, 116, 16909–16914. [PDF]

Huang, X.*, Xiao, J., Ma, M. (2019) Evaluating the performance of satellite-derived vegetation indices for estimating gross primary productivity using FLUXNET observations across the globe. Remote Sensing, 11(15), 1823; https://doi.org/10.3390/rs11151823.

Lu, W.*, Liu, C., Zhang, Y., Yu, C., Cong, P., Ma, J., Xiao, J. (2019) Carbon fluxes and stocks in a carbonate-rich chenier plain. Agricultural and Forest Meteorology, 275, 159-169.

Wang, X.*, Xiao, J., Li, X., Cheng, G., Ma, M., Zhu, G., Arain, M.A., Black, T.A., Jassal, R.S. (2019) No trends in spring and autumn phenology during the global warming hiatus. Nature Communications, 10:2389, https://doi.org/10.1038/s41467-019-10235-8. [PDF]

Chen, D.*, Chang, N., Xiao, J., Zhou, Q., Wu, W. (2019) Mapping dynamics of soil organic matter in croplands with MODIS data and machine learning algorithms. Science of the Total Environment, 669, 844–855.

Li, X.*, Xiao, J. (2019) A global, 0.05-degree product of solar-induced chlorophyll fluorescence derived from OCO-2, MODIS, and reanalysis data. Remote Sensing, 11(5), 517. https://doi.org/10.3390/rs11050517. [PDF]

Xiao, J., Li, X.*, He, B., Arain, M.A., Beringer, J., Desai, A.R., Emmel, C., Hollinger, D.Y., Krasnova, A., Mammarella, I., Noe, S.M., Ortiz, P.S., Rey-Sanchez, C., Rocha, A.V., Varlagin, A. (2019) Solar-induced chlorophyll fluorescence exhibits a universal relationship with gross primary productivity across a wide variety of biomes. Global Change Biology, 25, e4–e6, https://doi.org/10.1111/gcb.14565. (Response to the Editor)

Chen, D.*, Lu, M., Zhou, Q., Xiao, J., Wei, Y., Ru, Y., Wu, W. (2019) Comparison on two synergy approaches for hybrid cropland mapping. Remote Sensing, 2019, 11, 213; doi:10.3390/rs11030213.

Zhou, D., Xiao, J., Bonafoni, S., Berger, C., Deilami, K., Zhou, Y., Frolking, S., Yao, R., Qiao, Z., Sobrino, J.A. (2019) Satellite remote sensing of surface urban heat islands: Progress, challenges, and perspectives. Remote Sensing, 2019, 11, 48; doi:10.3390/rs11010048. (A review article)

Zhou, Y., Zhang, L., Xiao, J., Williams, C.A., Vitkovskaya, I., Bao, A. (2019) Spatiotemporal transition of institutional and socioeconomic impacts on vegetation productivity in Central Asia over last three decades. Science of the Total Environment, 658, 922-935. [PDF]

2018

Fu, Z., Gerken, T., Bromley, G., Araújo, A., Bonal, D., Burban, B., Ficklin, D., Fuentes, J., Goulden, M., Hirano, T., Kosugi, Y., Liddell, M., Nicolini, G., Niu, S., Roupsard, O., Stefani, P., Mi, C., Tofte, Z., Xiao, J., Valentini, R., Wolf, S., Stoy, P. (2018) The surface-atmosphere exchange of carbon dioxide in tropical rainforests: Sensitivity to environmental drivers and flux measurement methodology. Agricultural and Forest Meteorology, 263, 292-307. [PDF]

Zheng, Y., Zhang, L., Xiao, J., Yuan, W., Yan, M, Li, T., Zhang, Z. (2018) Sources of uncertainty in gross primary productivity simulated by light use efficiency models: Model structure, parameters, input data, and spatial resolution. Agricultural and Forest Meteorology, 263, 242-257.

Xu, T., Guo, Z., Liu, S., He, X., Meng, Y., Xu, Z., Xia, Y., Xiao, J., Zhang, Y., Ma, Y., Song, L. (2018) Evaluating different machine learning methods for upscaling evapotranspiration from flux towers to the regional scale. Journal of Geophysical Research: Atmospheres, 123, 8674–8690. https://doi.org/10.1029/2018JD028447.

Lu, W.*, Xiao, J., Lei, W., Du, J., Cong, P., Li, Z., Hou, W., Zhang, J., Chen, L., Zhang, Y., Liao, G. (2018) Human activities accelerated the degradation of saline seepweed red beaches by amplifying top-down and bottom-up forces. Ecosphere, 9(7):e02352. 10.1002/ecs2.2352.

Xu, H., Zhang, Z., Chen, J., Xiao, J., Zhu, M., Kang, M., Cao, W. (2018) Regulations of cloudiness on energy partitioning and water use strategy in a riparian poplar plantation. Agricultural and Forest Meteorology, 262, 135-146.

Li, X.*, Xiao, J., He, B., Arain, M.A., Beringer, J., Desai, A.R., Emmel, C., Hollinger, D.Y., Krasnova, A., Mammarella, I., Noe, S.M., Ortiz, P.S., Rey-Sanchez, C., Rocha, A.V., Varlagin, A. (2018) Solar-induced chlorophyll fluorescence is strongly correlated with terrestrial photosynthesis for a wide variety of biomes: First global analysis based on OCO-2 and flux tower observations. Global Change Biology, 24, 3990-4008. [PDF] [Highlighted by Nature Climate Change on June 29, 2018: Mapping photosynthesis]

John, R., Chen, J., Giannico, V., Park, H., Xiao, J., Shirkey, G., Ouyang, Z., Shao, C., Lafortezza, R., Qi, J. (2018) Grassland canopy cover and aboveground biomass in Mongolia and Inner Mongolia: Spatiotemporal estimates and controlling factors. Remote Sensing of Environment, 213, 34-48. [PDF]

Li, X.*, Xiao, J., He, B. (2018) Higher absorbed solar radiation partly offset the negative effects of water stress on the photosynthesis of Amazon forests during the 2015 drought. Environmental Research Letters, 13, 044005, https://doi.org/10.1088/1748-9326/aab0b1.

Liu, Y.*, Xiao, J., Ju, W., Zhu, G., Wu, X., Fan, W., Li, D., Zhou, Y. (2018) Satellite-derived LAI products exhibit large discrepancies and can lead to substantial uncertainty in simulated carbon and water fluxes. Remote Sensing of Environment, 206, 174-188.

Li, X.*, Xiao, J., He, B. (2018) Chlorophyll fluorescence observed by OCO-2 is strongly related to gross primary productivity estimated from flux towers in temperate forests. Remote Sensing of Environment, 204, 659-671.

2017

Wang, X.*, Xiao, J., Li, X., Cheng, G., Ma, M., Che, T., Dai, L., Wang, S., Wu, J. (2017) No consistent evidence for advancing or delaying trends in spring phenology on the Tibetan Plateau. Journal of Geophysical Research: Biogeosciences, 122, 3288–3305, DOI: 10.1002/2017JG003949.

Xue, B.-L., Guo, Q., Hu, T., Xiao, J., Yang, Y., Wang, G., Tao, S., Su, Y., Liu, J., Zhao, X. (2017) Global patterns of woody residence time and its influence on model simulation of aboveground biomass. Global Biogeochemical Cycles, 31, 821-835, DOI: 10.1002/2016GB005557.

Yue, X., Unger, N., Harper, K., Xia, X., Liao, H., Zhu, T., Xiao, J., Feng, Z., Li, J. (2017) Ozone and haze pollution weakens net primary productivity in China. Atmospheric Chemistry and Physics, 17, 6073-6089. (Journal Highlight Article)

Tang, J., Di, L., Xiao, J., Lu, D., Zhou, Y. (2017) Impacts of land use and socioeconomic patterns on urban heat island. International Journal of Remote Sensing, 38:11, 3445-3465, DOI: 10.1080/01431161.2017.1295485.

Lu, W.*, Xiao, J., Liu, F., Zhang, Y., Liu,C., Lin, G. (2017) Contrasting ecosystem CO2 fluxes of inland and coastal wetlands: A meta-analysis of eddy covariance data. Global Change Biology, 23, 1180-1198, doi: 10.1111/gcb.13424.

2016

Zhang, L., Xiao, J., Zhou, Y., Zheng, Y., Li, J., Xiao, H. (2016) Drought events and their effects on vegetation productivity in China. Ecosphere,7(12):e01591. 10.1002/ecs2.1591.

Xiao, J., Y. Luo, and G. Shrestha (2016), Improving carbon cycle projections for better carbon management, Eos, 97, doi:10.1029/2016EO062341. Published on 02 November 2016. [Meeting report]

Guerrieri, R., Lepine, L., Asbjornsen, H., Xiao, J., Ollinger, S.V. (2016) Evapotranspiration and water use efficiency in relation to climate and canopy nitrogen in U.S. forests. Journal of Geophysical Research: Biogeosciences, 121, 2610-2629, doi:10.1002/2016JG003415.

Liu, Y.*, Xiao, J., Ju, W., Xu, K., Zhou, Y., Zhao, Y. (2016) Recent trends in vegetation greenness in China significantly altered annual evapotranspiration and water yield. Environmental Research Letters, 11, 094010, doi:10.1088/1748-9326/11/9/094010.

Xiao, J., Liu, S., and Stoy, P. C. (2016) Preface: Impacts of extreme climate events and disturbances on carbon dynamics, Biogeosciences, 13, 3665-3675, doi:10.5194/bg-13-3665-2016.

Fang, Y., Sun, G., Caldwell, P., McNulty, S., Noormets, A., Domec, J.-C., King, J., Zhang, Z., Zhang, X., Lin, G., Xiao, J., Chen, J. (2015) Monthly land cover-specific evapotranspiration models derived from global eddy flux measurements and remote sensing data. Ecohydrology, 9, 248–266.

John, R., Chen, J., Kim, Y., Ou-yang, Z., Xiao, J., Park, H., Shao, C., Zhang, Y., Amarjargal, A., Batkhshig, O., Qi, J. (2016) Differentiating anthropogenic modification and precipitation-driven change on vegetation productivity on the Mongolian Plateau. Landscape Ecology, 31 (3), 547-566.

2015

Xiao, J., Y. Zhou, Y., Zhang, L. (2015) Contributions of natural and human factors to increases in vegetation productivity in China. Ecosphere 6(11):233. http://dx.doi.org/10.1890/ES14-00394.1.

Xue, B., Guo, Q., Otto, A., Xiao, J., Tao, S., Li, L. (2015) Global patterns, trends, and drivers of water use efficiency from 2000 to 2013.Ecosphere 6(10):174. http://dx.doi.org/10.1890/ES14-00416.1.

Liu, Y.*, Xiao, J., Ju, W., Zhou, Y., Wang, S., Wu, X. (2015) Water use efficiency of China's terrestrial ecosystems and responses to drought. Scientific Reports, 5, 13799, doi:10.1038/srep13799.

Sun, S., Sun, G., Caldwell, P., McNulty, S., Cohen, E., Xiao, J., Zhang, Y. (2015) Drought impacts on ecosystem functions of the U.S. National Forests and Grasslands: Part II assessment results and management implications. Forest Ecology and Management, 353, 269-279.

Sun, S., Sun, G., Caldwell, P., McNulty, S., Cohen, E., Xiao, J., Zhang, Y. (2015) Drought impacts on ecosystem functions of the U.S. National Forests and Grasslands: Part I evaluation of a water and carbon balance model. Forest Ecology and Management, 353, 260-268.

Wang, Y., Shao, M., Zhang, C., Liu, Z., Zou, J., Xiao, J. (2015) Soil organic carbon in deep profiles under Chinese continental monsoon climate and its relations with land uses. Ecological Engineering, 82, 361-367.

Thorn, A.M.*, Xiao, J., Ollinger, S.V. (2015) Generalization and evaluation of the process-based forest ecosystem model PnET-CN for other biomes. Ecosphere 6(3):43. http://dx.doi.org/10.1890/ES14-00542.1.

2014

Xiao, J. (2014) Satellite evidence for significant biophysical consequences of the “Grain for Green” Program on the Loess Plateau in China. Journal of Geophysical Research: Biogeosciences, 119, 2261–2275, doi:10.1002/2014JG002820. (Paper featured on the cover of journal)

Wang, W.*, Xiao, J., Ollinger, S. V., Desai, A. R., Chen, J., and Noormets, A. (2014) Quantifying the effects of harvesting on carbon fluxes and stocks in northern temperate forests, Biogeosciences, 11, 6667-6682, doi:10.5194/bg-11-6667-2014.

Liu, D., Chen, Y., Cai, W.W., Dong, W.J., Xiao, J.F., Chen, J.Q., Zhang, H.C., Xia, J.Z., Yuan, W.P. (2014) The contribution of China's Grain to Green Program to carbon sequestration. Landscape Ecology, 29, 1675–1688, DOI 10.1007/s10980-014-0081-4.

Xiao, J.F., Ollinger, S.V., Frolking, S., Hurtt, G.C., Hollinger, D.Y., Davis, K.J.,Pan, Y., Zhang, X., Deng, F., Chen, J., Baldocchi, D.D., Law, B.E., Arain, M.A. Desai, A.R., Richardson, A.D., Sun, G., Amiro, B., Margolis, H., Gu, L, Scott, R.L., Blanken, P.D., Suyker, A.E. (2014). Data-driven diagnostics of terrestrial carbon dynamics over North America. Agricultural and Forest Meteorology, 197, 142-157.

Chen, J., John, R., Sun, G., McNulty, S., Noormets, A., Xiao, J., Turner, M.G., Franklin, J.F. (2014) Carbon fluxes and storage in forests and landscapes. Forest Landscapes and Global Change, Azevedo, J.C., Perera, A.H., Pinto, M.A. (eds.), Springer New York, pp. 139-166.

Zhang, L., Xiao, J.F., Li, L., Lei, L.P., Li, J. (2014) China's sizeable and uncertain carbon sink: A perspective from GOSAT. Chinese Science Bulletin, 59 (14), 1547-1555.

Xiao, J.F., Davis, K.J., Urban, N.M., Keller, K. (2014) Uncertainty in model parameters and regional carbon fluxes: A model-data fusion approach. Agricultural and Forest Meteorology, 189-190, 175-186.

Levy, O., Ball, B.A., Bond-Lamberty, B., Cheruvelil, K.S., Finley, A.O., Lottig, N.R., Punyasena, S.W., Xiao, J., Zhou, J., Buckley, L.B., Filstrup, C.T., Keitt, T., Kellner, J.R., Knapp, A.K., Richardson, A.D., Tcheng, D., Toomey, M., Vargas, R., Voordeckers, J.W., Wagner, T., Williams, J.W. (2014) Approaches to advance scientific understanding of macrosystems ecology. Frontiers in Ecology and the Environment, 12, 15-23.

Heffernan, J.B., Soranno, P.A., Angilletta, M.J., Buckley, L.B., Gruner, D.S., Keitt, T.H., Kellner, J.R., Kominoski, J.S., Rocha, A.V., Xiao, J., Harms, T.K., Goring, S.J., Koenig, L.E., McDowell, W.H., Powell, H., Richardson, A.D., Stow, C.A., Vargas, R., Weathers, K.C. (2014) Macrosystems ecology: Understanding ecological patterns and processes at continental scales. Frontiers in Ecology and the Environment, 12, 5-14.

Zhou, Y., Zhang, L., Xiao, J., Chen, S., Kato, T., Zhou, G. (2014) A comparison of satellite-derived vegetation indices for approximating gross primary productivity of grasslands. Rangeland Ecology & Management, 67, 9-18.

Xiao, J. (2014) Assessing Net Ecosystem Exchange of Carbon Dioxide Between the Terrestrial Biosphere and the Atmosphere Using Fluxnet Observations and Remote Sensing. Biophysical Applications of Satellite Remote Sensing, Hanes J. (Ed.). Springer Berlin Heidelberg, pp. 149-169.

Zhang, L., Guo, H., Jia, G., Wylie, B., Gilmanov, T., Howard, D., Ji, L., Xiao, J., Li, J., Yuan, W., Zhao, T., Chen, S., Zhou, G., Kato, T. (2014) Net ecosystem productivity of temperate grasslands in northern China: An upscaling study. Agricultural and Forest Meteorology, 184, 71-81.

2013

Raczka, B., Davis, K., Huntzinger, D., Neilson, R., Poulter, B., Richardson, A., Xiao, J.F., Baker, I., Ciais, P., Keenan, T., Law, B., Post, W., Ricciuto, D., Schaefer, K., Tian, H., Tomelleri, E., Verbeeck, H., Viovy, N. (2013) Evaluation of continental carbon cycle simulations with North American flux tower observations. Ecological Monographs, 83, 531-556.

Xiao, J.F., Sun, G., Chen, J., Chen, H., Chen, S., Dong, G., Gao, S., Guo, H., Guo, J., Han, S., Kato, T., Li, Y., Lin, G., Lu, W., Ma, M., McNulty, S., Shao, C., Wang, X., Xie, X., Zhang, X., Zhang, Z., Zhao, B., Zhou, G., Zhou, J. (2013) Carbon fluxes, evapotranspiration, and water use efficiency of terrestrial ecosystems in China. Agricultural and Forest Meteorology, 182-183, 76-90.

Sun, G., Feng, X., Xiao, J., Shiklomanov, A., Wang, S., Zhang, Z., Lu, N., Wang, S., Chen, L., Fu, B., Chen, Y., Chen, J. (2013) Impacts of global change on water resources in Dryland East Asia. In: Dryland East Asia (DEA): Land Dynamics Amid Social And Climate Change, Chen J, Wan S, Henebry G, Qi J, Gutman G, Sun G, Kappas M (eds.)  HEP and De Gruyter, pages 153-181.

Xiao, J., Zhang, L., Chen, J., John, R. (2013) Dynamics of vegetation productivity in Dryland East Asia from 1982 to 2010. In: Dryland East Asia (DEA): Land Dynamics Amid Social And Climate Change, Chen J, Wan S, Henebry G, Qi J, Gutman G, Sun G, Kappas M (eds.)  HEP and De Gruyter, pages 125-147.

John, R., Chen, J., Ou-Yang, Z.-T., Xiao, J.F., Becker, R., Samanta, A., Ganguly, S., Yuan, W., Batkhishig, O. (2013) Vegetation response to extreme climate events on the Mongolian Plateau from 2000 to 2010. Environmental Research Letters, 8, 035033, doi:10.1088/1748-9326/8/3/035033.

Deng, F., Chen, J.M. , Pan, Y., Peters, W., Birdsey, R., McCullough, K., Xiao, J. (2013) The use of forest stand age information in an atmospheric CO2 inversion applied to North America. Biogeosciences, 10, 5335–5348.

2012

Zhang, L., Xiao, J.F., Li, J., Wang, K., Lei, L., and Guo, H. (2012) The 2010 spring drought reduced primary productivity in southwestern China. Environmental Research Letters, 7, 045706, doi:10.1088/1748-9326/7/4/045706. (ERL 2012 monthly highlights)

Huntzinger, D.N., Post, W.M., Wei, Y., Michalak, A.M., West, T.O., Jacobson, A.R., Baker, I.T., Chen, J.M., Davis, K.J., Hayes, D.J., Hoffman, F.M., Jain, A.K., Liu, S., McGuire, A.D., Neilson, R.P., Potter, C., Poulter, B., Price, D., Raczka, B.M., Tian, H.Q., Thornton, P., Tomelleri, E., Viovy, N., Xiao, J.F., Yuan, W., Zeng, N., Zhao, M., Cook, R. (2012) North American Carbon Program (NACP) regional interim synthesis: Terrestrial biosphere model intercomparison. Ecological Modelling, 232, 144-157.

Xiao, J.F., Chen, J., Davis, K.J., and Reichstein, M. (2012) Advances in upscaling of eddy covariance measurements of carbon and water fluxes. Journal of Geophysical Research - Biogeosciences, 117, G00J01, doi:10.1029/2011JG001889. (Introduction to special issue)

Richardson, A.D., Anderson, R.S., Arain, M.A., Barr, A.G., Bohrer, G., Chen, G., Chen, J.M., Ciais, P., Davis, K.J., Desai, A.R., Dietze, M.C., Dragoni, D., Garrity, S.R., Gouch, C.M., Grant, R., Hollinger, D.Y., Margolis, H.A., Mccaughey, H., Migliavacca, M., Monson, R.K., Munger, J.W., Poulter, B., Raczka, B.M., Ricciuto, D.M., Sahoo, A.K., Schaefer, K., Tian, H., Vargas, R., Verbeeck, H., Xiao, J.F., and Xue, Y. (2012) Terrestrial biosphere models need better representation of vegetation phenology: Results from the North American Carbon Program Site Synthesis. Global Change Biology, 18, 566-584.

2011

Liu, S., Bond-Lamberty, B., Hicke, J.A., Vargas, R., Zhao, S., Chen, J., Edburg, S.L., Hu, Y., Liu, J., McGuire, A.D., Xiao, J.F., Keane, R., Yuan, W., Tang, J., Luo, Y., Potter, C., and Oeding, J. (2011) Simulating the impacts of disturbances on forest carbon cycling in North America: Processes, data, models, and challenges. Journal of Geophysical Research - Biogeosciences, 116, G00K08, doi:10.1029/2010JG001585.

Dang, X., Lai, C.-T., Hollinger, D., Schauer, A., Xiao, J.F., Munger, W., Owensby, C., Ehleringer, J.R. (2011) Combining tower mixing ratio and community model data to estimate regional-scale net ecosystem carbon exchange by boundary layer inversion over 4 flux towers in the U.S.A.. Journal of Geophysical Research - Biogeosciences, 116, G03036, doi:10.1029/2010JG001554.

Xiao, J.F., Davis, K.J., Urban, N.M., Keller, K., and Saliendra, N.Z. (2011) Upscaling carbon fluxes from towers to the regional scale: Influence of parameter variability and land cover representation on regional flux estimates. Journal of Geophysical Research - Biogeosciences, 116, G00J06, doi:10.1029/2010JG001568.

Sun, G., Caldwell, P., Noormets, A., McNulty, S.G., Cohen, E., Moore Myers, J., Domec, J.-C., Treasure, E., Mu, Q.,Xiao, J.F., John, R., and Chen, J. (2011). Upscaling key ecosystem functions across the conterminous United States by a water-centric ecosystem model. Journal of Geophysical Research - Biogeosciences, 116, G00J05, doi:10.1029/2010JG001573.

Xiao, J.F., Zhuang, Q., Law, B.E., Baldocchi, D.D., Chen, J., Richardson, A.D., Melillo, J.M., Davis, K.J., Hollinger, D.Y., Wharton, S., Oren, R., Noormets, A., Fischer, M.L., Verma, S.B., Cook, D.R., Sun, G., McNulty, S., Wofsy, S.C., Bolstad, P.V., Burns, S.P., Curtis, P.S., Drake, B.G., Falk, M., Foster, D.R., Gu, L., Hadley, J.L., Katul, G.G., Litvak, M., Ma, S., Martin, T.A., Matamala, R., Meyers, T.P., Monson, R.K., Munger, J.W., Oechel, W.C., Paw U, K.T., Schmid, H.P., Scott, R.L., Starr, G., Suyker, A.E., and Torn, M.S. (2011) Assessing net ecosystem carbon exchange of U.S. terrestrial ecosystems by integrating eddy covariance flux measurements and satellite observations. Agricultural and Forest Meteorology, 151, 60-69.

2010

Amiro, B.D., Barr, A.G., Barr, J.G., Black, T.A., Bracho, R., Brown, M., Chen, J., Clark, K.L., Davis, K.J., Desai, A.R., Dore, S., Engel, V., Fuentes, J.D., Goldstein, A.H., Goulden, M.L., Kolb, T.E., Lavigne, M.B., Law, B.E., Margolis, H.A., Martin, T., McCaughey, J.H., Misson, L., Montes-Helu, M., Noormets, A., Randerson, J.T., Starr, G., and Xiao, J.F. (2010) Ecosystem carbon dioxide fluxes after disturbance in forests of North America. Journal of Geophysical Research - Biogeosciences, 115, G00K02, doi:10.1029/2010JG001390. [PDF]

Zhuang, Q., He, J., Lu, Y., Ji, L., Xiao, J.F., and Luo, T. (2010) Carbon dynamics of terrestrial ecosystems on the Tibetan Plateau during the 20th century: An analysis with a process-based biogeochemical model. Global Ecology and Biogeography, 19, 649-662. [PDF]

Baldocchi, D.D. Chen, Q., Chen, X., Ma, S., Miller, G., Ryu, Y., Xiao, J.F., Wenk, R. and Battles, J. (2010) The Dynamics of Energy, Water and Carbon Fluxes in a Blue Oak (Quercus douglasii) Savanna in California, USA, In: Ecosystem Function in Global Savannas: Measurement and Modeling at Landscape to Global Scales - edited by Michael J. Hill and Niall P. Hanan and published by CRC/Taylor and Francis. pp 135-151.

Xiao, J.F., Zhuang, Q., Law, B.E., Chen, J., Baldocchi, D.D., Cook, D.R., Oren, R., Richardson, A.D., Wharton, S., Ma, S., Martin, T.A., Verma, S.B., Suyker, A.E., Scott, R.L., Monson, R.K., Litvak, M., Hollinger, D.Y., Sun, G., Davis, K.J., Bolstad, P.V., Burns, S.P., Curtis, P.S., Drake, B.G., Falk, M., Fischer, M.L., Foster, D.R., Gu, L., Hadley, J.L., Katul, G.G., Matamala, R., McNulty, S., Meyers, T.P., Munger, J.W., Noormets, A., Oechel, W.C., Paw U, K.T., Schmid, H.P., Starr, G., Torn, M.S., and Wofsy, S.C. (2010) A continuous measure of gross primary production for the conterminous United States derived from MODIS and AmeriFlux data. Remote Sensing of Environment, 114 (3), 576-591. [PDF]

2009

Xiao, J.F., Zhuang, Q., Liang, E., McGuire, A.D., Moody, A., Kicklighter, D.W., and Melillo, J.M. (2009) Twentieth century droughts and their impacts on terrestrial carbon cycling in China. Earth Interactions, 13, 10, DOI: 10.1175/2009EI275.1. [PDF]

Zhuang, Q., Zhang, T., Xiao, J.F., and Luo, T. (2009) Quantification of net primary production of Chinese forest ecosystems with spatial statistical approaches. Mitigation and Adaption Strategies for Global Change, 14 (1), 85-99. [PDF]

2008

Xiao, J.F., Zhuang, Q., Baldocchi, D.D., Law, B.E., Richardson, A.D., Chen, J., Oren, R., Starr, G., Noormets, A., Ma, S., Verma, S.B., Wharton, S., Wofsy, S.C., Bolstad, P.V., Burns, S.P., Cook, D.R., Curtis, P.S., Drake, B.G., Falk, M., Fischer, M.L., Foster, D.R., Gu, L., Hadley, J.L., Hollinger, D.Y., Katul, G.G., Litvak, M., Martin, T.A., Matamala, R., McNulty, S., Meyers, T.P., Monson, R.K., Munger, J.W., Oechel, W.C., Paw U, K.T., Schmid, H.P., Scott, R.L., Sun, G., Suyker, A.E., and Torn, M.S. (2008) Estimation of net ecosystem carbon exchange for the conterminous United States by combining MODIS and AmeriFlux data. Agricultural and Forest Meteorology, 148(11), 1827-1847. [PDF] [Among Most Cited Agricultural and Forest Meteorology Articles (since 2008)]

Song, C., Lord, J. W., Zhou, L., and Xiao, J.F. (2008) Empirical evidence for impacts of internal migration on vegetation dynamics in China from 1982 to 2000. Sensors, 8, 5069-5080. [PDF]

2007

Xiao, J.F., and Zhuang, Q. (2007) Drought effects on large fire activity in Canadian and Alaskan forests. Environmental Research Letters, 2, 044003, doi:10.1088/1748-9326/2/4/044003. [PDF]

2005

Xiao, J.F., and Moody, A. (2005) A comparison of methods for estimating fractional green vegetation cover within a desert-to-upland transition zone in central New Mexico, USA. Remote Sensing of Environment, 98 (2-3), 237-250. [PDF]

Xiao, J.F., and Moody, A. (2005) Geographical distribution of global greening trends and their climatic correlates: 1982-1998. International Journal of Remote Sensing, 26 (11), 2371-2390. [PDF] [Reviewed by CO2 Science]

2004

Xiao, J.F., and Moody, A. (2004) Trends in vegetation activity and their climatic correlates: China 1982 to 1998. International Journal of Remote Sensing, 25 (24), 5669-5689. [PDF]

Xiao, J.F., and Moody, A. (2004) Photosynthetic activity of US biomes: responses to the spatial variability and seasonality of precipitation and temperature. Global Change Biology, 10 (4), 437-451. [PDF] [Reviewed by CO2 Science]

2003

Xiao, J.F., Li, J., and Moody, A. (2003) A detail-preserving and flexible adaptive filter for speckle suppression in SAR imagery. International Journal of Remote Sensing, 24 (12), 2451-2465.

2001

Xiao, J., Yang, J., Gong, H., and Li, J. (2001) A study on the platform of model base system. Journal of Remote Sensing, 5 (2), 135-141. (in Chinese)

2000

Gong, H., Li, J., Chen, X., and Xiao, J.(2000) A model base of geographic information systems. Earth Science Frontiers, 7 (S2), 17-22. (in Chinese)

Xiao, J., Gong, H., Li, J., Yang, J., and Chen, W. (2000) A model base system for sustainable development of marine fishery. Journal of Fisheries of China, 24 (3), 235-239. (in Chinese)