[1] Baldocchi DD, Matt DR, Hutchison BA et al. Solar radiation within an oak—hickory forest: An evaluation of the extinction coefficients for several radiation components during fully-leafed and leafless periods. Agricultural and Forest Meteorology, 32, 307-322(1984).

[2] Behera SK, SrivastavaP, Pathre UV et al. An indirect method of estimating leaf area index in Jatropha curcas L. using LAI-2000 Plant Canopy Analyzer. Agricultural and Forest Meteorology, 150, 307-311(2010).

[3] CaoX, ZhouZ, ChenX et al. Improving leaf area index simulation of IBIS model and its effect on water carbon and energy—A case study in Changbai Mountain broadleaved forest of China. Ecological Modelling, 303, 97-104(2015).

[4] Chen BX, Zhang XZ, TaoJ et al. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau. Agricultural and Forest Meteorology, 189-190, 11-18(2014).

[5] ChenH, ZhuQ, PengC et al. The impacts of climate change and human activities on biogeochemical cycles on the Qinghai-Tibetan Plateau. Global Change Biology, 19, 2940-2955(2013).

[7] Chen JM, Blanken PD, Black TA et al. Radiation regime and canopy architecture in a boreal aspen forest. Agricultural and Forest Meteorology, 86, 107-125(1997).

[8] de Almeida CT, Delgado RC, Galv?o LS et al. Improvements of the MODIS Gross Primary Productivity model based on a comprehensive uncertainty assessment over the Brazilian Amazonia. ISPRS Journal of Photogrammetry and Remote Sensing, 145, 268-283(2018).

[9] DongJ, XiaoX, WagleP et al. Comparison of four EVI-based models for estimating gross primary production of maize and soybean croplands and tallgrass prairie under severe drought. Remote Sensing of Environment, 162, 154-168(2015).

[10] DuM, LiY, ZhangF et al. Recent changes of climate and livestock productions on the Tibetan Plateau and in situ observations of NEE. Journal of Arid Land Studies, 28, 139-142(2018).

[11] FensholtR, SandholtI, Rasmussen M S. Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment, 91, 490-507(2004).

[12] FuG, Shen ZX, Zhang XZ et al. Calibration of MODIS-based gross primary production over an alpine meadow on the Tibetan Plateau. Canadian Journal of Remote Sensing, 38, 157-168(2012).

[13] FuG, Wu J S. Validation of MODIS collection 6 FPAR/LAI in the alpine grassland of the Northern Tibetan Plateau. Remote Sensing Letters, 8, 831-838(2017).

[14] GaoY, YuG, LiS et al. A remote sensing model to estimate ecosystem respiration in Northern China and the Tibetan Plateau. Ecological Modelling, 304, 34-43(2015).

[15] GaoY, YuG, YanH et al. A MODIS-based Photosynthetic Capacity Model to estimate gross primary production in Northern China and the Tibetan Plateau. Remote Sensing of Environment, 148, 108-118(2014).

[16] Gitelson AA, Vi?aA, Verma SB et al. Relationship between gross primary production and chlorophyll content in crops: Implications for the synoptic monitoring of vegetation productivity. Journal of Geophysical Research: Atmospheres, 111, 1-13(2006).

[17] Hanan NP, BurbaG, Verma SB et al. Inversion of net ecosystem CO₂ flux measurements for estimation of canopy PAR absorption. Global Change Biology, 8, 563-574(2002).

[18] Heinsch FA, ReevesM, VotavaP et al. GPP and NPP (MOD17A2/ A3) Products NASA MODIS Land Algorithm. MOD17 User's Guide:, 1-57(2003).

[19] KangY, ?zdo?anM, ZipperS et al. How universal is the relationship between remotely sensed vegetation indices and crop leaf area index? A global assessment. Remote Sensing, 8, 597(2016).

[20] LiJ, FangX. Uplift of the Tibetan Plateau and environmental changes. Chinese Science Bulletin, 44, 2117-2124(1999).

[21] LiangT, YangS, FengQ et al. Multi-factor modeling of above- ground biomass in alpine grassland: A case study in the Three-River Headwaters Region, China. Remote Sensing of Environment, 186, 164-172(2016).

[22] LiuS, ChengF, DongS et al. Spatiotemporal dynamics of grassland aboveground biomass on the Qinghai-Tibet Plateau based on validated MODIS NDVI. Scientific Reports, 7, 4182(2017).

[23] NiJ. Carbon storage in grasslands of China. Journal of Arid Environments, 50, 205-218(2002).

[24] NiuB, HeY, ZhangX et al. Tower-based validation and improvement of MODIS gross primary production in an alpine swamp meadow on the Tibetan Plateau. Remote Sensing, 8, 592(2016).

[25] NiuB, HeY, ZhangX et al. CO₂ exchange in an alpine swamp meadow on the Central Tibetan Plateau. Wetlands, 37, 1-19(2017).

[26] NiuB, HeY, ZhangX et al. Satellite-based inversion and field validation of autotrophic and heterotrophic respiration in an alpine meadow on the Tibetan Plateau. Remote Sensing, 9, 615(2017).

[27] NiuB, ZhangX, HeY et al. Satellite-based estimation of gross primary production in an alpine swamp meadow on the Tibetan Plateau: A multi-model comparison. Journal of Resources and Ecology, 8, 57-66(2017).

[28] OlofssonP, EklundhL. Estimation of absorbed PAR across Scandinavia from satellite measurements. Part II: Modeling and evaluating the fractional absorption. Remote Sensing of Environment, 110, 240-251(2007).

[29] PiaoS, ZhangX, WangT et al. Responses and feedback of the Tibetan Plateau’s alpine ecosystem to climate change. Chinese Science Bulletin, 64, 2842-2855(2019).

[30] RossiniM, CogliatiS, MeroniM et al. Remote sensing-based estimation of gross primary production in a subalpine grassland. Biogeosciences, 9, 2565-2584(2012).

[31] RuimyA, KergoatL, BondeauA et al. Comparing global models of terrestrial net primary productivity (NPP): Analysis of differences in light absorption and light-use efficiency. Global Change Biology, 5, 56-64(1999).

[32] Running SW, Thornton PE, NemaniR et al. Global terrestrial gross and net primary productivity from the earth observing system, In: Sala O E, Jackson R B, Mooney H A, et al. (ed.), 44-57(2000).

[33] SaitoM, KatoT, Tang Y. Temperature controls ecosystem CO₂ exchange of an alpine meadow on the northeastern Tibetan Plateau. Global Change Biology, 15, 221-228(2009).

[34] Saitoh TM, NagaiS, Noda HM et al. Examination of the extinction coefficient in the Beer-Lambert law for an accurate estimation of the forest canopy leaf area index. Forest Science and Technology, 8, 67-76(2012).

[35] Shi PL, Sun XM, Xu LL et al. Net ecosystem CO₂ exchange and controlling factors in a steppe - Kobresia meadow on the Tibetan Plateau. Science in China Series D-Earth Sciences, 49, 207-218(2006).

[36] TangX, LiH, HuangN et al. A comprehensive assessment of MODIS-derived GPP for forest ecosystems using the site-level FLUXNET database. Environmental Earth Sciences, 74, 5907-5918(2015).

[37] Turner DP, Ritts WD, Cohen WB et al. Site-level evaluation of satellite-based global terrestrial gross primary production and net primary production monitoring. Global Change Biology, 11, 666-684(2005).

[38] Turner DP, Ritts WD, Cohen WB et al. Evaluation of MODIS NPP and GPP products across multiple biomes. Remote Sensing of Environment, 102, 282-292(2006).

[39] Varlet-GrancherC, BonhommeR, JacobC et al. Caracterisation et evolution de la structure d'un couvert vegetal de canne a sucre, Annales agronomiques(1980).

[40] VermaM, Friedl MA, Law BE et al. Improving the performance of remote sensing models for capturing intra- and inter-annual variations in daily GPP: An analysis using global FLUXNET tower data. Agricultural and Forest Meteorology, 214-, 215, 416-429(2015).

[41] WagleP, Gowda PH, XiaoX et al. Parameterizing ecosystem light use efficiency and water use efficiency to estimate maize gross primary production and evapotranspiration using MODIS EVI. Agricultural and Forest Meteorology, 222, 87-97(2016).

[42] WangQ, TenhunenJ, GranierA et al. Long-term variations in leaf area index and light extinction in a Fagus sylvatica stand as estimated from global radiation profiles. Theoretical and Applied Climatology, 79, 225-238(2004).

[43] WeissM, BaretF, Smith GJ et al. Review of methods for in situ leaf area index (LAI) determination: Part II. Estimation of LAI, errors and sampling. Agricultural and Forest Meteorology, 121, 37-53(2004).

[45] XiaoJ, ChevallierF, GomezC et al. Remote sensing of the terrestrial carbon cycle: A review of advances over 50 years. Remote Sensing of Environment, 233, 111383(2019). https://linkinghub.elsevier.com/retrieve/pii/S003442571930402X

[46] XiaoX, HollingerD, AberJ et al. Satellite-based modeling of gross primary production in an evergreen needleleaf forest. Remote Sensing of Environment, 89, 519-534(2004).

[47] XiaoX, ZhangQ, SaleskaS et al. Satellite-based modeling of gross primary production in a seasonally moist tropical evergreen forest. Remote Sensing of Environment, 94, 105-122(2005).

[48] Xu LL, Zhang XZ, Shi PL et al. Modeling the maximum apparent quantum use efficiency of alpine meadow ecosystem on Tibetan Plateau. Ecological Modelling, 208, 129-134(2007).

[50] YangX, TangJ, Mustard JF et al. Solar-induced chlorophyll fluorescence that correlates with canopy photosynthesis on diurnal and seasonal scales in a temperate deciduous forest. Geophysical Research Letters, 42, 2977-2987(2015).

[51] YinG, LiA, JinH et al. Derivation of temporally continuous LAI reference maps through combining the LAINet observation system with CACAO. Agricultural and Forest Meteorology, 233, 209-221(2017).

[52] ZhangB, ShiP, HeY et al. The climate feature of Damxung alpine meadow carbon flux research station on the Tibetan Plateau. Journal of Mountain Science, 27, 88-95(2009).

[53] ZhangL, ZhouD, FanJ et al. Contrasting the performance of eight satellite-based GPP models in water-limited and temperature-limited grassland ecosystems. Remote Sensing, 11, 1333(2019).

[54] ZhangX, YangY, PiaoS et al. Ecological change on the Tibetan Plateau. Chinese Science Bulletin, 60, 3048-3056(2015).

[55] ZhangY, YuQ, Jiang J IE et al. Calibration of Terra/MODIS gross primary production over an irrigated cropland on the North China Plain and an alpine meadow on the Tibetan Plateau. Global Change Biology, 14, 757-767(2008).

[56] ZhaoL, LiY, XuS et al. Diurnal, seasonal and annual variation in net ecosystem CO₂ exchange of an alpine shrubland on Qinghai-Tibetan Plateau. Global Change Biology, 12, 1940-1953(2006).

[57] ZhengD, ZhangQ, WuS. Mountain geoecology and sustainable development of the Tibetan Plateau. Dordrecht:. Springer.(2000).

[58] ZhengY, ZhangL, XiaoJ et al. 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(2018).

[59] ZhouX, XinQ. Improving satellite-based modelling of gross primary production in deciduous broadleaf forests by accounting for seasonality in light use efficiency. International Journal of Remote Sensing, 40, 931-955(2019).

[60] ZhouY, FuG, ShenZ et al. Estimation model of aboveground biomass in the Northern Tibet Plateau based on remote sensing date. Acta Prataculturae Sinica, 22, 120-129(2013).

[61] ZhuZ, PiaoS, LianX et al. Attribution of seasonal leaf area index trends in the northern latitudes with “optimally” integrated ecosystem models. Global Change Biology, 23, 4798-4813(2017).