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Water use efficiency of China’s terrestrial ecosystems and responses to drought
Open accessAbstract
Water use efficiency (WUE) measures the trade-off between carbon gain and water loss of terrestrial ecosystems and better understanding its dynamics and controlling factors is essential for predicting ecosystem responses to climate change. We assessed the magnitude, spatial patterns and trends of WUE of China’s terrestrial ecosystems and its responses to drought using a process-based ecosystem model. During the period from 2000 to 2011, the national average annual WUE (net primary productivity (NPP)/evapotranspiration (ET)) of China was 0.79 g C kg−1 H 2 O. Annual WUE decreased in the southern regions because of the decrease in NPP and the increase in ET and increased in most northern regions mainly because of the increase in NPP. Droughts usually increased annual WUE in Northeast China and central Inner Mongolia but decreased annual WUE in central China. “Turning-points” were observed for southern China where moderate and extreme droughts reduced annual WUE and severe drought slightly increased annual WUE. The cumulative lagged effect of drought on monthly WUE varied by region. Our findings have implications for ecosystem management and climate policy making. WUE is expected to continue to change under future climate change particularly as drought is projected to increase in both frequency and severity.
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Cites
(1993) · Cited by 7,699
More Intense, More Frequent, and Longer Lasting Heat Waves in the 21st Century
Meehl, G. A., & Tebaldi, C. (2004) · Science · doi:10.1126/science.1098704 · Cited by 4,322
Baldocchi, D., Falge, E. M., Gu, L., Olson, R., Hollinger, D. Y., Running, S. W., Anthoni, P. M., Bernhofer, C., Davis, K. J., Evans, R., et al. (2001) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(2001)082<2415:fantts>2.3.co;2 · Cited by 3,787
MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets
Friedl, M. A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., & Huang, X. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2009.08.016 · Cited by 3,473
Response of vegetation to drought time-scales across global land biomes
Vicente-Serrano, S. M., Gouveia, C., Camarero, J. J., Beguería, S., Trigo, R., López-Moreno, J. I., Azorín-Molina, C., Pasho, E., Lorenzo-Lacruz, J., Revuelto, J., et al. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1207068110 · Cited by 1,675
Increase in forest water-use efficiency as atmospheric carbon dioxide concentrations rise
Keenan, T. F., Hollinger, D. Y., Bohrer, G., Dragoni, D., Munger, J. W., Schmid, H. P., & Richardson, A. D. (2013) · Nature · doi:10.1038/nature12291 · Cited by 1,336
Environmental controls over carbon dioxide and water vapor exchange of terrestrial vegetation
Law, B. E., Falge, E., Gu, L., Baldocchi, D. D., Bakwin, P., Berbigier, P., Davis, K., Dolman, A. J., Falk, M., Fuentes, J. D., et al. (2002) · Agricultural and Forest Meteorology · doi:10.1016/s0168-1923(02)00104-1 · Cited by 1,334
Convergence across biomes to a common rain-use efficiency
Huxman, T. E., Smith, M. D., Fay, P. A., Knapp, A. K., Shaw, M. R., Loik, M. E., Smith, S. D., Tissue, D. T., Zak, J. C., Weltzin, J. F., et al. (2004) · Nature · doi:10.1038/nature02561 · Cited by 1,253
Chen, J. M., Liu, J., Cihlar, J., & Goulden, M. L. (1999) · Ecological Modelling · doi:10.1016/s0304-3800(99)00156-8 · Cited by 762
Ecosystem resilience despite large-scale altered hydroclimatic conditions
Ponce-Campos, G. E., Moran, M. S., Huete, A., Zhang, Y., Bresloff, C., Huxman, T. E., Eamus, D., Bosch, D. D., Buda, A. R., Gunter, S. A., et al. (2013) · Nature · doi:10.1038/nature11836 · Cited by 584
REICHSTEIN, M., CIAIS, P., PAPALE, D., VALENTINI, R., RUNNING, S., VIOVY, N., CRAMER, W., GRANIER, A., OGÉE, J., ALLARD, V., et al. (2007) · Global Change Biology · doi:10.1111/j.1365-2486.2006.01224.x · Cited by 580
A process-based boreal ecosystem productivity simulator using remote sensing inputs
Liu, J. J. (1997) · Remote Sensing of Environment · doi:10.1016/s0034-4257(97)00089-8 · Cited by 557
Reichstein, M., Tenhunen, J. D., Roupsard, O., Ourcival, J., Rambal, S., Miglietta, F., Peressotti, A., Pecchiari, M., Tirone, G., & Valentini, R. (2002) · Global Change Biology · doi:10.1046/j.1365-2486.2002.00530.x · Cited by 527
Forest carbon use efficiency: is respiration a constant fraction of gross primary production?
DeLUCIA, E. H., DRAKE, J. E., THOMAS, R. B., & GONZALEZ‐MELER, M. (2007) · Global Change Biology · doi:10.1111/j.1365-2486.2007.01365.x · Cited by 493
Water‐use efficiency in response to climate change: from leaf to ecosystem in a temperate steppe
NIU, S., XING, X., ZHANG, Z., XIA, J., ZHOU, X., SONG, B., LI, L., & WAN, S. (2011) · Global Change Biology · doi:10.1111/j.1365-2486.2010.02280.x · Cited by 396
HU, Z., YU, G., FU, Y., SUN, X., LI, Y., SHI, P., WANG, Y., & ZHENG, Z. (2008) · Global Change Biology · doi:10.1111/j.1365-2486.2008.01582.x · Cited by 393
Tian, H., Chen, G., Liu, M., Zhang, C., Sun, G., Lu, C., Xu, X., Ren, W., Pan, S., & Chappelka, A. (2010) · Forest Ecology and Management · doi:10.1016/j.foreco.2009.10.009 · Cited by 369
Zhang, Y., Xu, M., Chen, H., & Adams, J. (2009) · Global Ecology and Biogeography · doi:10.1111/j.1466-8238.2008.00442.x · Cited by 362
Water‐use efficiency of forest ecosystems in eastern China and its relations to climatic variables
Yu, G., Song, X., Wang, Q., Liu, Y., Guan, D., Yan, J., Sun, X., Zhang, L., & Wen, X. (2008) · New Phytologist · doi:10.1111/j.1469-8137.2007.02316.x · Cited by 351
Self-citationChange in terrestrial ecosystem water‐use efficiency over the last three decades
Huang, M., Piao, S., Sun, Y., Ciais, P., Cheng, L., Mao, J., Poulter, B., Shi, X., Zeng, Z., & Wang, Y. (2015) · Global Change Biology · doi:10.1111/gcb.12873 · Cited by 342
Carbon fluxes, evapotranspiration, and water use efficiency of terrestrial ecosystems in China
Xiao, J., Sun, G., Chen, J., Chen, H., Chen, S., Dong, G., Gao, S., Guo, H., Guo, J., Han, S., et al. (2013) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2013.08.007 · Cited by 318
Self-citationHow is water-use efficiency of terrestrial ecosystems distributed and changing on Earth?
Tang, X., Li, H., Desai, A. R., Nagy, Z., Luo, J., Kolb, T. E., Olioso, A., Xu, X., Yao, L., Kutsch, W., et al. (2014) · Scientific Reports · doi:10.1038/srep07483 · Cited by 282
Schwalm, C. R., Williams, C. A., Schaefer, K., Anderson, R., Arain, M. A., Baker, I., Barr, A., Black, T. A., Chen, G., Chen, J. M., et al. (2010) · Journal of Geophysical Research: Biogeosciences · doi:10.1029/2009jg001229 · Cited by 278
Ito, A., & Inatomi, M. (2012) · Journal of Hydrometeorology · doi:10.1175/jhm-d-10-05034.1 · Cited by 260
Distributed hydrological model for mapping evapotranspiration using remote sensing inputs
Chen, J. M., Chen, X., Ju, W., & Geng, X. (2005) · Journal of Hydrology · doi:10.1016/j.jhydrol.2004.08.029 · Cited by 257
Self-citationModelling multi-year coupled carbon and water fluxes in a boreal aspen forest
Ju, W., Chen, J. M., Black, T. A., Barr, A. G., Liu, J., & Chen, B. (2006) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2006.08.008 · Cited by 229
Self-citationBaldocchi, D. (1994) · Agricultural and Forest Meteorology · doi:10.1016/0168-1923(94)90008-6 · Cited by 226
Feng, X., Liu, G., Chen, J. M., Chen, M., Liu, J., Ju, W. M., Sun, R., & Zhou, W. (2007) · Journal of Environmental Management · doi:10.1016/j.jenvman.2006.09.021 · Cited by 222
Self-citationXiao, J. (2014) · Journal of Geophysical Research: Biogeosciences · doi:10.1002/2014jg002820 · Cited by 210
Self-citationLu, X., & Zhuang, Q. (2010) · Remote Sensing of Environment · doi:10.1016/j.rse.2010.04.001 · Cited by 198
A soil particle-size distribution dataset for regional land and climate modelling in China
Shangguan, W., Dai, Y., Liu, B., Ye, A., & Yuan, H. (2012) · Geoderma · doi:10.1016/j.geoderma.2011.01.013 · Cited by 196
Gao, Y., Zhu, X., Yu, G., He, N., Wang, Q., & Tian, J. (2014) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2014.04.010 · Cited by 146
Impacts of droughts on carbon sequestration by China's terrestrial ecosystems from 2000 to 2011
Liu, Y., Zhou, Y., Ju, W., Wang, S., Wu, X., He, M., & Zhu, G. (2014) · Biogeosciences · doi:10.5194/bg-11-2583-2014 · Cited by 124
Self-citationKuglitsch, F. G., Reichstein, M., Beer, C., Carrara, A., Ceulemans, R., Granier, A., Janssens, I. A., Köstner, B., Lindroth, A., Loustau, D., et al. (2008) · doi:10.5194/bgd-5-4481-2008 · Cited by 114
Uncertainty in model parameters and regional carbon fluxes: A model-data fusion approach
Xiao, J., Davis, K. J., Urban, N. M., & Keller, K. M. (2014) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2014.01.022 · Cited by 101
Self-citationClimate and land use controls over terrestrial water use efficiency in monsoon Asia
Tian, H., Lü, C., Chen, G., Xu, X., Liu, M., Ren, W., Tao, B., Sun, G., Pan, S., & Liu, J. (2011) · Ecohydrology · doi:10.1002/eco.216 · Cited by 101
Zhang, X., Moran, M. S., Zhao, X. H., Liu, S., Zhou, T., Ponce‐Campos, G. E., & Liu, F. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2014.05.003 · Cited by 83
Liu, Y., Ju, W., He, H., et al. (2012) · Frontiers of Earth Science · doi:10.1007/s11707-012-0348-5 · Cited by 69
Self-citationEcosystem water use efficiency in an irrigated cropland in the North China Plain
Tong, X., Li, J., Yu, Q., & Qin, Z. (2009) · Journal of Hydrology · doi:10.1016/j.jhydrol.2009.06.030 · Cited by 66
Tan, Z., Zhang, Y., Deng, X., Song, Q., Liu, W., Deng, Y., Tang, J., Liao, Z., Zhao, J., Song, L., et al. (2014) · Journal of Geophysical Research Atmospheres · doi:10.1002/2014jd022535 · Cited by 64
Evapotranspiration and water yield over China's landmass from 2000 to 2010
Liu, Y., Zhou, Y., Ju, W., Chen, J. M., Wang, S., He, H., Wang, H., Guan, D., Zhao, F., Li, Y., et al. (2013) · Hydrology and earth system sciences · doi:10.5194/hess-17-4957-2013 · Cited by 61
Self-citationEvolution of hydrological and carbon cycles under a changing climate
Mu, Q., Zhao, M., & Running, S. W. (2011) · Hydrological Processes · doi:10.1002/hyp.8367 · Cited by 51
Sheng, W., Shujie, R., Yu, G., Fang, H., Jiang, C., & Zhang, M. (2011) · Journal of Geographical Sciences · doi:10.1007/s11442-011-0870-5 · Cited by 45
Wu, Y., Liu, S., Huang, Z., & Yan, W. (2014) · Journal of Advances in Modeling Earth Systems · doi:10.1002/2013ms000298 · Cited by 36
Metadata
- Authors
- Liu, Y., Xiao, J., Ju, W., Zhou, Y., Wang, S., & Wu, X.
- Venue
- Scientific Reports
- Published
- 2015-09-08
- Volume
- 5
- Issue
- 1
- Pages
- 13799-13799
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W1615509193
- Cited by
- 281
- References
- 44
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- gold
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