Bridging the climate–phenology–recreation nexus: Implications for the sustainability of grassland recreational services
Mengqi Yuan , Mu Chen , Fang Han , Qixiang Liang , Yuchen Xia
Geography and Sustainability ›› 2026, Vol. 7 ›› Issue (3) : 100455
Grassland ecosystems provide vital ecological and cultural services. However, their phenological dynamics are becoming increasingly vulnerable to climate change, directly threatening the seasonal availability of recreational opportunities. This study investigated climate–phenology relationships at a regional scale across the grasslands of Northwest China and further linked phenological dynamics to recreational demand in seven representative grassland destinations. Drawing on multi-decadal satellite observations of vegetation indices, including the normalized difference vegetation index and the green vegetation index, climate reanalysis data, and online search–derived recreational demand indices, we identified a significant contraction of the growing season (−1.316 ± 0.761 days decade−1, P < 0.1) between 1982 and 2022, primarily due to delayed green-up after 2013. Ridge regression analysis revealed a shift in climatic control from precipitation-dominated to temperature-dominated regimes, with warming and intensified drought stress emerging as the dominant drivers of phenological change. Recreational demand exhibited moderate-to-strong correlations with vegetation greenness (r = 0.461–0.701), although this coupling weakened after 2020 owing to pandemic-related disruptions. The shortening of the growing season compresses the temporal window of scenic attractiveness and exacerbates spatial mismatches between ecological supply and urban demand. Our findings demonstrate that climate-induced phenological shifts directly constrain recreational services, with far-reaching implications for tourism sustainability, regional economies, and ecosystem resilience. We developed a coupled climate–phenology–recreation framework to guide adaptive governance and integrated management strategies, ensuring that grassland ecosystems can sustain their ecological and societal functions amid accelerating climate change.
Grassland phenology / Grassland recreation / Climate change / Phenological tourism / Cultural ecosystem services
| [1] |
Badeck, F.W., Bondeau, A., Böttcher, K., Doktor, D., Lucht, W., Schaber, J., Sitch, S., 2004. Responses of spring phenology to climate change. New Phytol. 162(2), 295-309. doi: 10.1111/j.1469-8137.2004.01059.x. |
| [2] |
Beil, I., Kreyling, J., Meyer, C., Lemcke, N., Malyshev, A.V., 2021. Late to bed, late to rise-warmer autumn temperatures delay spring phenology by delaying dormancy. Glob. Change Biol. 27(22), 5806-5817. doi: 10.1111/gcb.15858. |
| [3] |
Bengtsson, J., Bullock, J.M., Egoh, B., Everson, C., Everson, T., O’Connor, T., O’Farrell, P.J., Smith, H.G., Lindborg, R., 2019. Grasslands-more important for ecosystem services than you might think. Ecosphere 10(2), e02582. doi: 10.1002/ecs2.2582. |
| [4] |
Chan, K.M.A., Satterfield, T., Goldstein, J., 2012. Rethinking ecosystem services to better address and navigate cultural values. Ecol. Econ. 74, 8-18. doi: 10.1016/j.ecolecon.2011.11.011. |
| [5] |
Chen, L., Hänninen, H., Rossi, S., Smith, N.G., Pau, S., Liu, Z.Y., Feng, G.Q., Gao, J., Liu, J.Q., 2020. Leaf senescence exhibits stronger climatic responses during warm than during cold autumns. Nat. Clim. Chang. 10(8), 777-780. doi: 10.1038/s41558-020-0820-2. |
| [6] |
Chen, X.J., Mo, X.G., Hu, S., Liu, S.X., 2017. Contributions of climate change and human activities to ET and GPP trends over North China Plain from 2000 to 2014. J. Geogr. Sci. 27(6), 661-680. doi: 10.1007/s11442-017-1399-z. |
| [7] |
Chen, Y., Qu, W.D., Zohner, C.M., Peñuelas, J., Wu, C.Y., 2026. Increased artificial illumination delays urban autumnal foliar senescence. Nat. Commun. 17, 1526. doi: 10.1038/s41467-025-68246-7. |
| [8] |
Day, J., Chin, N., Sydnor, S., Widhalm, M., Shah, K.U., Dorworth, L., 2021. Implications of climate change for tourism and outdoor recreation: an Indiana, USA, case study. Clim. Change 169(3), 29. doi: 10.1007/s10584-021-03284-w. |
| [9] |
Denissen, J.M.C., Teuling, A.J., Pitman, A.J., Koirala, S., Migliavacca, M., Li, W.T., Reichstein, M., Winkler, A.J., Zhan, C.H., Orth, R., 2022. Widespread shift from ecosystem energy to water limitation with climate change. Nat. Clim. Chang. 12(7), 677-684. doi: 10.1038/s41558-022-01403-8. |
| [10] |
Dronova, I., Taddeo, S., 2022. Remote sensing of phenology: towards the comprehensive indicators of plant community dynamics from species to regional scales. J. Ecol. 110(7), 1460-1484. doi: 10.1111/1365-2745.13897. |
| [11] |
Du, Q.Q., Sun, Y.F., Guan, Q.Y., Pan, N.H., Wang, Q.Z., Ma, Y.R., Li, H.C., Liang, L.S., 2022. Vulnerability of grassland ecosystems to climate change in the Qilian Mountains, northwest China. J. Hydrol. 612, 128305. doi: 10.1016/j.jhydrol.2022.128305. |
| [12] |
Elmore, A.J., Guinn, S.M., Minsley, B.J., Richardson, A.D., 2012. Landscape controls on the timing of spring, autumn, and growing season length in mid-Atlantic forests. Glob. Change Biol. 18(2), 656-674. doi: 10.1111/j.1365-2486.2011.02521.x. |
| [13] |
Fan, M.M., Li, W.J., Wei, G.H., Luo, F., 2015. Tourism impacts on indigenous pastoral communities in China. Rangel. Ecol. Manag. 68(1), 86-91. doi: 10.1016/j.rama.2014.12.006. |
| [14] |
Gao, X.Y., Dai, J.H., Tao, Z.X., Lv, J.X., 2025. A comprehensive evaluation framework for climate effect on plant viewing activities. Int. J. Biometeorol. 69(12), 3403-3419. doi: 10.1007/s00484-025-03029-9. |
| [15] |
Ge, Q.S., Yang, X., Qiao, Z., Liu, H.L., Liu, J., 2014. Monitoring grassland tourist season of Inner Mongolia, China using remote sensing data. Adv. Meteorol. 2014(1), 859765. doi: 10.1155/2014/859765. |
| [16] |
Gu, H.S., Qiao, Y.X., Xi, Z.X., Rossi, S., Smith, N.G., Liu, J.Q., Chen, L., 2022. Warming-induced increase in carbon uptake is linked to earlier spring phenology in temperate and boreal forests. Nat. Commun. 13, 3698. doi: 10.1038/s41467-022-31496-w. |
| [17] |
Han, J.Y., Miao, C.Y., Gou, J.J., Zheng, H.Y., Zhang, Q., Guo, X.Y., 2023. A new daily gridded precipitation dataset for the Chinese mainland based on gauge observations. Earth Syst. Sci. Data 15(7), 3147-3161. doi: 10.5194/essd-15-3147-2023. |
| [18] |
He, J., Yang, K., Tang, W.J., Lu, H., Qin, J., Chen, Y.Y., Li, X., 2020. The first high-resolution meteorological forcing dataset for land process studies over China. Sci. Data 7, 25. doi: 10.1038/s41597-020-0369-y. |
| [19] |
Hernández-Blanco, M., Costanza, R., Chen, H.J., deGroot, D., Jarvis, D., Kubiszewski, I., Montoya, J., Sangha, K., Stoeckl, N., Turner, K., van‘t Hoff, V., 2022. Ecosystem health, ecosystem services, and the well-being of humans and the rest of nature. Glob. Change Biol. 28(17), 5027-5040. doi: 10.1111/gcb.16281. |
| [20] |
Hoerl, A.E., Kennard, R.W., 1970. Ridge regression: biased estimation for nonorthogonal problems. Technometrics 12, 55-67. doi: 10.1080/00401706.1970.10488634. |
| [21] |
Hsu, J.L., Sharma, P., 2023. Disaster and risk management in outdoor recreation and tourism in the context of climate change. Int. J. Clim. Chang. Strateg. Manag. 15(5), 712-728. doi: 10.1108/IJCCSM-10-2021-0118. |
| [22] |
Hu, Y., Fu, B.J., Michaelides, K., De Kauwe, M.G., Wang, J., Shen, M.G., Zhang, W.M., Wang, Y., Xiao, X.M., Qin, Y.W., Feng, X.M., Wu, C.Y., Chen, Y.Z., Wang, Z.Z., Wan, L.F., 2025. Contrasting trends in onset of spring green-up between grasslands and forests in China. Earths Future 13(3), e2024EF005379. doi: 10.1029/2024EF005379. |
| [23] |
Huang, J.P., Ma, J.R., Guan, X.D., Li, Y., He, Y.L., 2019. Progress in semi-arid climate change studies in China. Adv. Atmos. Sci. 36(9), 922-937. doi: 10.1007/s00376-018-8200-9. |
| [24] |
Huang, S.T., Xiao, X., Tian, T., Che, Y., 2024. Seasonal influences on preferences for urban blue-green spaces: integrating land surface temperature into the assessment of cultural ecosystem service value. Sust. Cities Soc. 102, 105237. doi: 10.1016/j.scs.2024.105237. |
| [25] |
Huang, X.K., Zhang, L.F., Ding, Y.S., 2017. The Baidu Index: uses in predicting tourism flows-a case study of the Forbidden City. Tour. Manage. 58, 301-306. doi: 10.1016/j.tourman.2016.03.015. |
| [26] |
Ignatieva, M., Hedblom, M., 2018. An alternative urban green carpet. Science 362(6411), 148-149. doi: 10.1126/science.aau6974. |
| [27] |
Jiang, N., Shen, M.G., Ciais, P., Campioli, M., Peñuelas, J., Körner, C., Cao, R.Y., Piao, S.L., Liu, L.C., Wang, S.P., Liang, E.Y., Delpierre, N., Soudani, K., Rao, Y.H., Montagnani, L., Hörtnagl, L., Paul-Limoges, E., Myneni, R., Wohlfahrt, G., Fu, Y.S., Šigut, L., Varlagin, A., Chen, J., Tang, Y.H., Zhao, W.W., 2022. Warming does not delay the start of autumnal leaf coloration but slows its progress rate. Glob. Ecol. Biogeogr. 31(11), 2297-2313. doi: 10.1111/geb.13581. |
| [28] |
Julien, Y., Sobrino, J.A., 2009. Global land surface phenology trends from GIMMS database. Int. J. Remote Sens. 30(13), 3495-3513. doi: 10.1080/01431160802562255. |
| [29] |
Kang, L., Han, X.G., Zhang, Z.B., Sun, O.J., 2007. Grassland ecosystems in China: review of current knowledge and research advancement. Philos. Trans. R. Soc. Lond B Biol. Sci. 362(1482), 997-1008. doi: 10.1098/rstb.2007.2029. |
| [30] |
Kiapasha, K., Darvishsefat, A.A., Julien, Y., Sobrino, J.A., Zargham, N., Attarod, P., Schaepman, M.E., 2017. Trends in phenological parameters and relationship between land surface phenology and climate data in the hyrcanian forests of Iran. IEEE J. Sel. Top. Appl. Earth Obs. Remote Sens. 10(11), 4961-4970. doi: 10.1109/JSTARS.2017.2736938. |
| [31] |
Li, S.W., Chen, T., Wang, L., Ming, C.H., 2018. Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index. Tour. Manage. 68, 116-126. doi: 10.1016/j.tourman.2018.03.006. |
| [32] |
Li, X., Zhang, L., Luo, T.X., 2020. Rainy season onset mainly drives the spatiotemporal variability of spring vegetation green-up across alpine dry ecosystems on the Tibetan Plateau. Sci. Rep. 10, 18797. doi: 10.1038/s41598-020-75991-w. |
| [33] |
Li, Y.Z., Meng, L., Richardson, A.D., Lee, X., Menzel, A., Mao, J.F., Diehl, J.L., Wang, A.Z., 2025. Cooling outweighs warming across phenological transitions in the Northern Hemisphere. Proc. Natl. Acad. Sci. U.S.A. 122(37), e2501844122. doi: 10.1073/pnas.2501844122. |
| [34] |
Liu, D.J., Zhang, C., Ogaya, R., Fernández-Martínez, M., Pugh, T.A.M., Peñuelas, J., 2021. Increasing climatic sensitivity of global grassland vegetation biomass and species diversity correlates with water availability. New Phytol. 230(5), 1761-1771. doi: 10.1111/nph.17269. |
| [35] |
Liu, J., Cheng, H., Jiang, D., Huang, L., 2019. Impact of climate-related changes to the timing of autumn foliage colouration on tourism in Japan. Tour. Manage. 70, 262-272. doi: 10.1016/j.tourman.2018.08.021. |
| [36] |
Liu, Y., Zhang, Y., Peñuelas, J., Kannenberg, S.A., Gong, H.B., Yuan, W.P., Wu, C.Y., Zhou, S., Piao, S.L., 2025. Drought legacies delay spring green-up in northern ecosystems. Nat. Clim. Chang. 15(4), 444-451. doi: 10.1038/s41558-025-02273-6. |
| [37] |
Ma, R., Shen, X.J., Zhang, J.Q., Xia, C.L., Liu, Y.W., Wu, L.Y., Wang, Y.J., Jiang, M., Lu, X.G., 2022. Variation of vegetation autumn phenology and its climatic drivers in temperate grasslands of China. Int. J. Appl. Earth Obs. Geoinf. 114, 103064. doi: 10.1016/j.jag.2022.103064. |
| [38] |
Möhl, P., von Büren, R.S., Hiltbrunner, E., 2022. Growth of Alpine grassland will start and stop earlier under climate warming. Nat. Commun. 13, 7398. doi: 10.1038/s41467-022-35194-5. |
| [39] |
Mueller, B., Hauser, M., Iles, C., Rimi, R.H., Zwiers, F.W., Wan, H., 2015. Lengthening of the growing season in wheat and maize producing regions. Clim. Extrem. 9, 47-56. doi: 10.1016/j.wace.2015.04.001. |
| [40] |
Peichl, M., Leava, N.A., Kiely, G., 2012. Above- and belowground ecosystem biomass, carbon and nitrogen allocation in recently afforested grassland and adjacent intensively managed grassland. Plant Soil 350(1), 281-296. doi: 10.1007/s11104-011-0905-9. |
| [41] |
Piao, S.L., Liu, Q., Chen, A.P., Janssens, I.A., Fu, Y.S., Dai, J.H., Liu, L.L., Lian, X., Shen, M.G., Zhu, X.L., 2019. Plant phenology and global climate change: current progresses and challenges. Glob. Change Biol. 25(6), 1922-1940. doi: 10.1111/gcb.14619. |
| [42] |
Pinzon, J.E., Pak, E.W., Tucker, C.J., Bhatt, U.S., Frost, G.V., Macander, M.J., 2023. Global vegetation greenness (NDVI) from AVHRR GIMMS-3G+, 1981-2022 (Version 1). ORNL Distributed Active Archive Center doi: 10.3334/ORNLDAAC/2187. |
| [43] |
Qi, N., Yang, Y.Z., Yang, G.J., Li, W.Z., Zhao, C.J., Zhao, J., Wang, B.H., Su, S.F., Zhao, P.X., 2023. Pre-seasonal temperature trend break dominating the trend break in autumn grassland phenology in China. Int. J. Appl. Earth Obs. Geoinf. 125, 103590. doi: 10.1016/j.jag.2023.103590. |
| [44] |
Sen, P.K., 1968. Estimates of the regression coefficient based on Kendall’s tau. J. Am. Stat. Assoc. 63(324), 1379-1389. doi: 10.1080/01621459.1968.10480934. |
| [45] |
Shen, M.G., Wang, S.P., Jiang, N., Sun, J.P., Cao, R.Y., Ling, X.F., Fang, B., Zhang, L., Zhang, L.H., Xu, X.Y., Lv, W.W., Li, B.L., Sun, Q.L., Meng, F.D., Jiang, Y.H., Dorji, T., Fu, Y.S., Iler, A., Vitasse, Y., Steltzer, H., Ji, Z.M., Zhao, W.W., Piao, S.L., Fu, B.J., 2022a. Plant phenology changes and drivers on the Qinghai-Tibetan Plateau. Nat. Rev. Earth Environ. 3(10), 633-651. doi: 10.1038/s43017-022-00317-5. |
| [46] |
Shen, M.G., Zhang, G.X., Cong, N., Wang, S.P., Kong, W.D., Piao, S.L., 2014a. Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai-Tibetan Plateau. Agric. For. Meteorol. 189-190, 71-80. doi: 10.1016/j.agrformet.2014.01.003. |
| [47] |
Shen, X.J., Liu, B.H., Henderson, M., Wang, L., Jiang, M., Lu, X.G., 2022b. Vegetation greening, extended growing seasons, and temperature feedbacks in warming temperate grasslands of China. J. Clim. 35(15), 5103-5117. doi: 10.1175/JCLI-D-21-0325.1. |
| [48] |
Shen, X.J., Liu, B.H., Henderson, M., Wang, L., Wu, Z.F., Wu, H.T., Jiang, M., Lu, X.G., 2018. Asymmetric effects of daytime and nighttime warming on spring phenology in the temperate grasslands of China. Agric. For. Meteorol. 259, 240-249. doi: 10.1016/j.agrformet.2018.05.006. |
| [49] |
Shen, Y., Zhao, P., Pan, Y., Yu, J.J., 2014b. A high spatiotemporal gauge-satellite merged precipitation analysis over China. J. Geophys. Res. Atmos. 119(6), 3063-3075. doi: 10.1002/2013JD020686. |
| [50] |
Southon, G.E., Jorgensen, A., Dunnett, N., Hoyle, H., Evans, K.L., 2017. Biodiverse perennial meadows have aesthetic value and increase residents’ perceptions of site quality in urban green-space. Landsc. Urban Plan. 158, 105-118. doi: 10.1016/j.landurbplan.2016.08.003. |
| [51] |
Su, J.X., Fan, L.X., Yuan, Z.L., Wang, Z., Wang, Z.J., 2024. Quantifying the drought sensitivity of grassland under different climate zones in Northwest China. Sci. Total Environ. 910, 168688. doi: 10.1016/j.scitotenv.2023.168688. |
| [52] |
Theil, H., 1992. A rank-invariant method of linear and polynomial regression analysis. In: Raj, B., Koerts, J. (Eds.), Henri Theil’s Contributions to Economics and Econometrics, Advanced Studies in Theoretical and Applied Econometrics. Springer Netherlands, Dordrecht, pp. 345-381. doi: 10.1007/978-94-011-2546-8_20. |
| [53] |
Trenberth, K.E., Dai, A.G., Rasmussen, R.M., Parsons, D.B., 2003. The changing character of precipitation. Bull. Am. Meteorol. Soc. 84(9), 1205-1218. doi: 10.1175/BAMS-84-9-1205. |
| [54] |
Tucker, C.J., 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sens. Environ. 8, 127-150. doi: 10.1016/0034-4257(79)90013-0. |
| [55] |
Wang, C.P., Huang, M.T., Zhai, P.M., 2024b. Co-influence of the start of thermal growing season and precipitation on vegetation spring green-up on the Tibetan Plateau. Adv. Clim. Chang. Res. 15(2), 327-337. doi: 10.1016/j.accre.2024.04.005. |
| [56] |
Wang, H., Liu, G.H., Li, Z.S., Ye, X., Wang, M., Gong, L., 2016. Impacts of climate change on net primary productivity in arid and semiarid regions of China. Chin. Geogr. Sci. 26(1), 35-47. doi: 10.1007/s11769-015-0762-1. |
| [57] |
Wang, J.M., Hua, H., Guo, J., Huang, X., Zhang, X., Yang, Y.C., Wang, D.Y., Guo, X.L., Zhang, R., Smith, N.G., Rossi, S., Peñuelas, J., Ciais, P., Wu, C.Y., Chen, L., 2025a. Late spring frost delays tree spring phenology by reducing photosynthetic productivity. Nat. Clim. Chang. 15(2), 201-209. doi: 10.1038/s41558-024-02205-w. |
| [58] |
Wang, J., Liu, D.S., Ciais, P., Peñuelas, J., 2022a. Decreasing rainfall frequency contributes to earlier leaf onset in northern ecosystems. Nat. Clim. Chang. 12(4), 386-392. doi: 10.1038/s41558-022-01285-w. |
| [59] |
Wang, J.G., Zhang, F., Jim, C.Y., Chan, N.W., Johnson, V.C., Liu, C.J., Duan, P., Bahtebay, J., 2022b. Spatio-temporal variations and drivers of ecological carrying capacity in a typical mountain-oasis-desert area, Xinjiang, China. Ecol. Eng. 180, 106672. doi: 10.1016/j.ecoleng.2022.106672. |
| [60] |
Wang, L., Huang, L., Cao, W., Zhai, J., Fan, J.W., 2024a. Assessing grassland cultural ecosystem services supply and demand for promoting the sustainable realization of grassland cultural values. Sci. Total Environ. 912, 169255. doi: 10.1016/j.scitotenv.2023.169255. |
| [61] |
Wang, L.L., Meng, L., Richardson, A.D., Hölker, F., Li, H.D., Mao, J.F., Longcore, T., Xia, J., She, D.X., 2025b. Artificial light at night outweighs temperature in lengthening urban growing seasons. Nat. Cities 2(6), 506-517. doi: 10.1038/s44284-025-00258-2. |
| [62] |
Wang, S.H., Yu, Y.Y., Chen, J.Q., Liu, J., 2023. Impact of climate change on cherry blossom viewing tourism: analysis and simulation based on Weibo proxy data. Curr. Issues Tour. 26(5), 718-734. doi: 10.1080/13683500.2022.2049711. |
| [63] |
Wang, X.F., Xiao, J.F., Li, X., Cheng, G.D., Ma, M.G., Zhu, G.F., Altaf Arain, M., Andrew Black, T., Jassal, R.S., 2019. No trends in spring and autumn phenology during the global warming hiatus. Nat. Commun. 10, 2389. doi: 10.1038/s41467-019-10235-8. |
| [64] |
White, M.A., Hoffman, F., Hargrove, W.W., Nemani, R.R., 2005. A global framework for monitoring phenological responses to climate change. Geophys. Res. Lett. 32(4), 2004GL021961. doi: 10.1029/2004GL021961. |
| [65] |
Wu, C.Y., Peng, D.L., Soudani, K., Siebicke, L., Gough, C.M., Arain, M.A., Bohrer, G., Lafleur, P.M., Peichl, M., Gonsamo, A., Xu, S.G., Fang, B., Ge, Q.S., 2017. Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites. Agric. For. Meteorol. 233, 171-182. doi: 10.1016/j.agrformet.2016.11.193. |
| [66] |
Wu, C.Y., Wang, J., Ciais, P., Peñuelas, J., Zhang, X.Y., Sonnentag, O., Tian, F., Wang, X.Y., Wang, H.J., Liu, R.G., Fu, Y.H., Ge, Q.S., 2021a. Widespread decline in winds delayed autumn foliar senescence over high latitudes. Proc. Natl. Acad. Sci. U.S.A. 118(6), e2015821118. doi: 10.1073/pnas.2015821118. |
| [67] |
Wu, J., Gao, X.J., 2013. A gridded daily observation dataset over China region and comparison with the other datasets. Chin. J. Geophys. 56(4), 1102-1111. doi: 10.6038/cjg20130406. |
| [68] |
Wu, G.C., Tian, Y., Gong, F., Du, J.Z., Shi, C.M., 2022. Variations in the probability distribution function of air temperature anomalies in winter and summer from 1961 to 2016 over China. Int. J. Climatol. 42(9), 4740-4752. doi: 10.1002/joc.7501. |
| [69] |
Wu, J.G., 2014. Urban ecology and sustainability: the state-of-the-science and future directions. Landsc. Urban Plan. 125, 209-221. doi: 10.1016/j.landurbplan.2014.01.018. |
| [70] |
Wu, L.Z., Ma, X.F., Dou, X., Zhu, J.T., Zhao, C.Y., 2021b. Impacts of climate change on vegetation phenology and net primary productivity in arid Central Asia. Sci. Total Environ. 796, 149055. doi: 10.1016/j.scitotenv.2021.149055. |
| [71] |
Xia, J., Ning, L.K., Wang, Q., Chen, J.X., Wan, L., Hong, S., 2017. Vulnerability of and risk to water resources in arid and semi-arid regions of West China under a scenario of climate change. Clim. Change 144(3), 549-563. doi: 10.1007/s10584-016-1709-y. |
| [72] |
Xiong, T., Du, S.H., Zhang, H.Y., Zhang, X.Y., 2023. Satellite observed reversal in trends of spring phenology in the middle-high latitudes of the Northern Hemisphere during the global warming hiatus. Glob. Change Biol. 29(8), 2227-2241. doi: 10.1111/gcb.16580. |
| [73] |
Xu, W.Y., Jiang, B., Zhao, J.W., 2022. Effects of seasonality on visual aesthetic preference. Landsc. Res. 47(3), 388-399. doi: 10.1080/01426397.2022.2039110. |
| [74] |
Yang, J., Huang, X., 2021. The 30 m annual land cover dataset and its dynamics in China from 1990 to 2019. Earth Syst. Sci. Data 13(8), 3907-3925. doi: 10.5194/essd-13-3907-2021. |
| [75] |
Yang, X.Y., Meng, F., Fu, P.J., Zhang, Y.X., Liu, Y.H., 2021a. Spatiotemporal change and driving factors of the Eco-environment quality in the Yangtze River Basin from 2001 to 2019. Ecol. Indic. 131, 108214. doi: 10.1016/j.ecolind.2021.108214. |
| [76] |
Yang, Y.Z., Qi, N., Zhao, J., Meng, N., Lu, Z.J., Wang, X., Kang, L., Wang, B.H., Li, R.N., Ma, J.F., Zheng, H., 2021b. Detecting the turning points of grassland autumn phenology on the Qinghai-Tibetan Plateau: spatial heterogeneity and controls. Remote Sens. 13(23), 4797. doi: 10.3390/rs13234797. |
| [77] |
Yuan, M.X., Zhao, L., Lin, A.W., Wang, L.C., Li, Q.J., She, D.X., Qu, S., 2020. Impacts of preseason drought on vegetation spring phenology across the Northeast China transect. Sci. Total Environ. 738, 140297. doi: 10.1016/j.scitotenv.2020.140297. |
| [78] |
Yuan, Z.H., Tong, S.Q., Bao, G., Chen, J.Q., Yin, S., Li, F., Sa, C.L., Bao, Y.H., 2023. Spatiotemporal variation of autumn phenology responses to preseason drought and temperature in Alpine and temperate grasslands in China. Sci. Total Environ. 859, 160373. doi: 10.1016/j.scitotenv.2022.160373. |
| [79] |
Zani, D., Crowther, T.W., Mo, L.D., Renner, S.S., Zohner, C.M., 2020. Increased growing-season productivity drives earlier autumn leaf senescence in temperate trees. Science 370(6520), 1066-1071. doi: 10.1126/science.abd8911. |
| [80] |
Zhang, J.X., He, C.Y., Huang, Q.X., Li, J., Qi, T., 2022b. Evaluating the supply and demand of cultural ecosystem services in the Tibetan Plateau of China. Landsc. Ecol. 37(8), 2131-2148. doi: 10.1007/s10980-022-01467-z. |
| [81] |
Zhang, S.H., Liu, S.X., Mo, X., Shu, C., Sun, Y., Zhang, C., 2011. Assessing the impact of climate change on potential evapotranspiration in Aksu River Basin. J. Geogr. Sci. 21, 609-620. doi: 10.1007/s11442-011-0867-0. |
| [82] |
Zhang, S.G., Zhang, J.J., Liang, S., Liu, S.D., Zhou, Y., 2022a. A perception of the nexus “resistance, recovery, resilience” of vegetations responded to extreme precipitation pulses in arid and semi-arid regions: a case study of the Qilian Mountains Nature Reserve, China. Sci. Total Environ. 843, 157105. doi: 10.1016/j.scitotenv.2022.157105. |
| [83] |
Zhang, X.K., Du, X.D., Hong, J.T., Du, Z.Y., Lu, X.Y., Wang, X.D., 2020. Effects of climate change on the growing season of alpine grassland in Northern Tibet, China. Glob. Ecol. Conserv. 23, e01126. doi: 10.1016/j.gecco.2020.e01126. |
| [84] |
Zhang, X.Y., Friedl, M.A., Schaaf, C.B., Strahler, A.H., Hodges, J.C.F., Gao, F., Reed, B.C., Huete, A., 2003. Monitoring vegetation phenology using MODIS. Remote Sens. Environ. 84(3), 471-475. doi: 10.1016/S0034-4257(02)00135-9. |
| [85] |
Zhao, J., Huang, S.Z., Huang, Q., Wang, H., Leng, G.Y., Fang, W., 2020b. Time-lagged response of vegetation dynamics to climatic and teleconnection factors. Catena 189, 104474. doi: 10.1016/j.catena.2020.104474. |
| [86] |
Zhao, J., Yang, X.G., Dai, S.W., Lv, S., Wang, J., 2015. Increased utilization of lengthening growing season and warming temperatures by adjusting sowing dates and cultivar selection for spring maize in Northeast China. Eur. J. Agron. 67, 12-19. doi: 10.1016/j.eja.2015.03.006. |
| [87] |
Zhao, Y.Y., Liu, Z.F., Wu, J.G., 2020a. Grassland ecosystem services: a systematic review of research advances and future directions. Landsc. Ecol. 35(4), 793-814. doi: 10.1007/s10980-020-00980-3. |
| [88] |
Zheng, D.S., Tong, D., Davis, S.J., Qin, Y., Liu, Y., Xu, R.C., Yang, J., Yan, X.Z., Geng, G.N., Che, H.Z., Zhang, Q., 2024. Climate change impacts on the extreme power shortage events of wind-solar supply systems worldwide during 1980-2022. Nat. Commun. 15, 5225. doi: 10.1038/s41467-024-48966-y. |
| [89] |
Zhou, W., Yang, H., Huang, L., Chen, C., Lin, X.S., Hu, Z.J., Li, J.L., 2017. Grassland degradation remote sensing monitoring and driving factors quantitative assessment in China from 1982 to 2010. Ecol. Indic. 83, 303-313. doi: 10.1016/j.ecolind.2017.08.019. |
| [90] |
Zhu, W.Q., Tian, H.Q., Xu, X.F., Pan, Y.Z., Chen, G.S., Lin, W.P., 2012. Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982-2006. Glob. Ecol. Biogeogr. 21(2), 260-271. doi: 10.1111/j.1466-8238.2011.00675.x. |
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