Revealing the globally multiscale controls of environmental factors on carbon use efficiency
Tài liệu tham khảo
Arneth, 1998, Net ecosystem productivity, net primary productivity and ecosystem carbon sequestration in a pinus radiata plantation subject to soil water deficit, Tree Physiol., 18, 785, 10.1093/treephys/18.12.785
Atkin, 2000, Leaf respiration of snow gum in the light and dark. Interactions between temperature and irradiance, Plant Physiol., 122, 915, 10.1104/pp.122.3.915
Biswas, 2014, Curve let transform to study scale-dependent anisotropic soil spatial variation, Geoderma, 213, 589, 10.1016/j.geoderma.2013.07.029
Bostad, 2003, Rapid temperature acclimation of leaf respiration rates in quercus alba and quercus rubra, Tree Physiol., 23, 969, 10.1093/treephys/23.14.969
Candès, 2006, Fast discrete curvelet transforms, Multiscale Model. Simul., 5, 861, 10.1137/05064182X
Chen, 2021, Multiple-scale negative impacts of warming on ecosystem carbon use efficiency across the tibetan plateau grasslands, Glob. Ecol. Biogeogr., 30, 398, 10.1111/geb.13224
Chen, 2016, Grassland carbon sequestration ability in China: a new perspective from terrestrial aridity zones, Rangel. Ecol. Manag., 69, 84, 10.1016/j.rama.2015.09.003
Chen, 2019, Spatial variations and controls of carbon use efficiency in china’s terrestrial ecosystems, Sci. Rep., 9, 19516, 10.1038/s41598-019-56115-5
Chen, 2018, Ecosystem carbon use efficiency in China: variation and influence factors, Ecol. Indic., 90, 316, 10.1016/j.ecolind.2018.03.025
Chuai, 2020, Vegetation and climate zones based carbon use efficiency variation and the main determinants analysis in China, Ecol. Indic., 111, 10.1016/j.ecolind.2019.105967
Dorji, 2013, Plant functional traits mediate reproductive phenology and success in response to experimental warming and snow addition in Tibet, Glob. Chang. Biol., 19, 459, 10.1111/gcb.12059
Fotheringham, 2017, Multiscale geographically weighted regression (mgwr), Ann. Am. Assoc. Geogr., 107, 1247
Gang, 2019, Drought-induced carbon and water use efficiency responses in dryland vegetation of northern China, Front. Plant Sci., 10, 224, 10.3389/fpls.2019.00224
Gang, 2022, Divergent responses of terrestrial carbon use efficiency to climate variation from 2000 to 2018, Glob. Planet. Chang., 208, 10.1016/j.gloplacha.2021.103709
Giardina, 2003, Primary production and carbon allocation in relation to nutrient supply in a tropical experimental forest, Glob. Chang. Biol., 9, 1438, 10.1046/j.1365-2486.2003.00558.x
He, 2022, Worldwide impacts of atmospheric vapor pressure deficit on the interannual variability of terrestrial carbon sinks, Natl. Sci. Rev., 9, 10.1093/nsr/nwab150
He, 2018, Global patterns of vegetation carbon use efficiency and their climate drivers deduced from modis satellite data and process-based models, Agric. For. Meteorol., 256, 150, 10.1016/j.agrformet.2018.03.009
Hu, 2021, Exploring drivers of ecosystem services variation from a geospatial perspective: insights from China’s Shanxi province, Ecol. Indic., 131, 10.1016/j.ecolind.2021.108188
Humphrey, 2021, Soil moisture–atmosphere feedback dominates land carbon uptake variability, Nature, 592, 65, 10.1038/s41586-021-03325-5
Jing, 2021, Using temporal and spatial scales to unravel the effects of climatic factors on vegetation variations in China, Front. Ecol. Evol., 9, 10.3389/fevo.2021.730673
Kim, 2007, Temperature dependence of growth, development, and photosynthesis in maize under elevated co2, Environ. Exp. Bot., 61, 224, 10.1016/j.envexpbot.2007.06.005
Liu, 2019, Evaluating the responses of net primary productivity and carbon use efficiency of global grassland to climate variability along an aridity gradient, Sci. Total Environ., 652, 671, 10.1016/j.scitotenv.2018.10.295
Lu, 2021, Variations in vegetation cue with climate change and human activity during growing seasons in the western Sichuan plateau, China, Remote Sens. Lett., 12, 419, 10.1080/2150704X.2021.1895447
Luo, 2020, Quantitative analysis of the contributions of land use change and co 2 fertilization to carbon use ef ficiency on the tibetan plateau, Sci. Total Environ., 728, 10.1016/j.scitotenv.2020.138607
Ma, 2010, The curvelet transform, IEEE Signal Process. Mag., 27, 118, 10.1109/MSP.2009.935453
Ryan, 1996, Foliage, fine-root, woody-tissue and stand respiration in pinus radiata in relation to nitrogen status, Tree Physiol., 16, 333, 10.1093/treephys/16.3.333
Tian, 2019, Variations in soil nutrient availability across tibetan grassland from the 1980s to 2010s, Geoderma, 338, 197, 10.1016/j.geoderma.2018.12.009
Wang, 2021, Strength of association between vegetation greenness and its drivers across China between 1982 and 2015: regional differences and temporal variations, Ecol. Indic., 128, 10.1016/j.ecolind.2021.107831
Wang, 2017, Geodetector: principle and prospective, Acta Geograph. Sin., 72, 116
Wang, 2010, Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China, Int. J. Geogr. Inf. Sci., 24, 107, 10.1080/13658810802443457
Wang, 2021, Climate change will reduce the carbon use efficiency of terrestrial ecosystems on the Qinghai-Tibet plateau: an analysis based on multiple models, Forests, 12, 12, 10.3390/f12010012
Waring, 1998, Net primary production of forests: a constant fraction of gross primary production?, Tree Physiol., 18, 129, 10.1093/treephys/18.2.129
Yan, 2021, Relationship between extreme climate indices and spatiotemporal changes of vegetation on Yunnan plateau from 1982 to 2019, Glob. Ecol. Conserv., 31
Yang, 2014, Synchrosqueezed curvelet transform for two-dimensional mode decomposition, SIAM J. Math. Anal., 46, 2052, 10.1137/130939912
Ye, 2020, Spatio-temporal variations of vegetation carbon use efficiency and potential driving meteorological factors in the yangtze river basin, J. Mt. Sci., 17, 1959, 10.1007/s11629-019-5966-x
Yuan, 2019, Increased atmospheric vapor pressure deficit reduces global vegetation growth, Sci. Adv., 5, 10.1126/sciadv.aax1396
Zhang, 2014, Climate-driven global changes in carbon use efficiency, Glob. Ecol. Biogeogr., 23, 144, 10.1111/geb.12086
Zhang, 2009, Global pattern of npp to gpp ratio derived from modis data: effects of ecosystem type, geographical location and climate, Glob. Ecol. Biogeogr., 18, 280, 10.1111/j.1466-8238.2008.00442.x
Zhang, 2019, Soil nutrient availability regulated global carbon use efficiency, Glob. Planet. Chang., 173, 47, 10.1016/j.gloplacha.2018.12.001
Zhu, 2020, Unraveling the local and structured variation of soil nutrients using two-dimensional empirical model decomposition in fen river watershed, China, Arch. Agron. Soil Sci., 66, 1556, 10.1080/03650340.2019.1681588
Zhu, 2022, Characterizing multiscale effects of climatic factors on the temporal variation of vegetation in different climatic regions of China, Theor. Appl. Climatol., 148, 33, 10.1007/s00704-022-03928-6