{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,12]],"date-time":"2026-02-12T11:34:02Z","timestamp":1770896042163,"version":"3.50.1"},"reference-count":131,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2022,2,5]],"date-time":"2022-02-05T00:00:00Z","timestamp":1644019200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFC0507303"],"award-info":[{"award-number":["2018YFC0507303"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Maintaining or increasing water retention in ecosystems (WRE) can reduce floods and increase water resource provision. However, few studies have taken the effect of the spatial information of vegetation structure into consideration when assessing the effects of land use\/land cover (LULC) change on WRE. In this study, we integrated the remotely sensed leaf area index (LAI) into the ecosystem process-based Biome-BGC model to analyse the impact of LULC change on the WRE of Beijing between 2000 and 2015. Our results show that the volume of WRE increased by approximately 8.58 million m3 in 2015 as compared with 2000. The volume of WRE in forests increased by approximately 26.74 million m3, while urbanization, cropland expansion and deforestation caused the volume of WRE to decline by 11.96 million m3, 5.86 million m3 and 3.20 million m3, respectively. The increased WRE contributed by unchanged forests (14.46 million m3) was much greater than that of new-planted forests (12.28 million m3), but the increase in WRE capacity per unit area in new-planted forests (124.69 \u00b1 14.30 m3\/ha) was almost tenfold greater than that of unchanged forests (15.60 \u00b1 7.85 m3\/ha). The greater increase in WRE capacity in increased forests than that of unchanged forests was mostly due to the fact that the higher LAI in unchanged forests induced more evapotranspiration to exhaust more water. Meanwhile, the inverted U-shape relationship that existed between the forest LAI and WRE implied that continued increased LAI in forests probably caused the WRE decline. This study demonstrates that integrating remotely sensed LAI with the Biome-BGC model is feasible for capturing the impact of LULC change with the spatial information of vegetation structure on WRE and reduces uncertainty.<\/jats:p>","DOI":"10.3390\/rs14030743","type":"journal-article","created":{"date-parts":[[2022,2,6]],"date-time":"2022-02-06T20:38:40Z","timestamp":1644179920000},"page":"743","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Integrating Remotely Sensed Leaf Area Index with Biome-BGC to Quantify the Impact of Land Use\/Land Cover Change on Water Retention in Beijing"],"prefix":"10.3390","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1623-3063","authenticated-orcid":false,"given":"Binbin","family":"Huang","sequence":"first","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3299-0403","authenticated-orcid":false,"given":"Yanzheng","family":"Yang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2955-0236","authenticated-orcid":false,"given":"Ruonan","family":"Li","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2301-1744","authenticated-orcid":false,"given":"Hua","family":"Zheng","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2421-3970","authenticated-orcid":false,"given":"Xiaoke","family":"Wang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]},{"given":"Xuming","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Geographical Sciences, Fujian Normal University, Fuzhou 350007, China"},{"name":"Key Laboratory for Humid Subtropical Eco-Geographical Processes, Ministry of Education, Fuzhou 350007, China"}]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[{"name":"State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China"},{"name":"University of Chinese Academy of Sciences, Beijing 100049, China"}]}],"member":"1968","published-online":{"date-parts":[[2022,2,5]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"216","DOI":"10.1007\/s11769-017-0860-3","article-title":"Driving forces and their effects on water conservation services in forest ecosystems in China","volume":"27","author":"Gong","year":"2017","journal-title":"Chin. Geogr. Sci."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"e2298","DOI":"10.1002\/eco.2298","article-title":"Regeneration of tropical montane cloud forests increases water yield in the Brazilian Atlantic Forest","volume":"14","author":"Teixeira","year":"2021","journal-title":"Ecohydrology"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.5846\/stxb201206130852","article-title":"Concepts, processes and quantification methods of the forest water conservation at the multiple scales","volume":"33","author":"Wang","year":"2013","journal-title":"Shengtai Xuebao Acta Ecol. Sin."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"1455","DOI":"10.1126\/science.aaf2295","article-title":"Improvements in ecosystem services from investments in natural capital","volume":"352","author":"Ouyang","year":"2016","journal-title":"Science"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Dong, T., Xu, W., Zheng, H., Xiao, Y., Kong, L., and Ouyang, Z. (2018). A Framework for Regional Ecological Risk Warning Based on Ecosystem Service Approach: A Case Study in Ganzi, China. Sustainability, 10.","DOI":"10.3390\/su10082699"},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Kong, L., Zheng, H., Xiao, Y., Ouyang, Z., Li, C., Zhang, J., and Huang, B. (2018). Mapping Ecosystem Service Bundles to Detect Distinct Types of Multifunctionality within the Diverse Landscape of the Yangtze River Basin, China. Sustainability, 10.","DOI":"10.3390\/su10030857"},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"105860","DOI":"10.1016\/j.ecoleng.2020.105860","article-title":"Afforestation changes soil organic carbon stocks on sloping land: The role of previous land cover and tree type","volume":"152","author":"Hou","year":"2020","journal-title":"Ecol. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.ufug.2017.10.003","article-title":"Urban forest structure and land cover composition effects on land surface temperature in a semi-arid suburban area","volume":"28","author":"Gage","year":"2017","journal-title":"Urban For. Urban Green."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.foreco.2016.11.002","article-title":"Confounding legacies of land uses and land-form pattern on the regional vegetation structure and diversity of Mediterranean montane forests","volume":"384","author":"Fortuny","year":"2017","journal-title":"For. Ecol. Manag."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"114008","DOI":"10.1088\/1748-9326\/aae5e3","article-title":"Modeling how land use legacy affects the provision of ecosystem services in Mediterranean southern Spain","volume":"13","author":"Brandt","year":"2018","journal-title":"Environ. Res. Lett."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"101938","DOI":"10.1016\/j.gloenvcha.2019.101938","article-title":"Insights from watershed simulations around the world: Watershed service-based restoration does not significantly enhance streamflow","volume":"58","author":"Gorelick","year":"2019","journal-title":"Glob. Environ. Chang."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"56","DOI":"10.1038\/s41893-020-00600-7","article-title":"Ecological restoration impact on total terrestrial water storage","volume":"4","author":"Zhao","year":"2021","journal-title":"Nat. Sustain."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"141752","DOI":"10.1016\/j.scitotenv.2020.141752","article-title":"Water yield variation with elevation, tree age and density of larch plantation in the Liupan Mountains of the Loess Plateau and its forest management implications","volume":"752","author":"Tian","year":"2021","journal-title":"Sci. Total Environ."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2501","DOI":"10.1038\/s41467-021-22702-2","article-title":"Global land use changes are four times greater than previously estimated","volume":"12","author":"Winkler","year":"2021","journal-title":"Nat. Commun."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"e1600821","DOI":"10.1126\/sciadv.1600821","article-title":"The last frontiers of wilderness: Tracking loss of intact forest landscapes from 2000 to 2013","volume":"3","author":"Potapov","year":"2017","journal-title":"Sci. Adv."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"2041","DOI":"10.1016\/S1001-0742(12)60260-5","article-title":"Water quality evaluation of Haihe River with fuzzy similarity measure methods","volume":"25","author":"Wang","year":"2013","journal-title":"J. Environ. Sci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"110792","DOI":"10.1016\/j.jenvman.2020.110792","article-title":"Modeling seasonal water yield for landscape management: Applications in Peru and Myanmar","volume":"270","author":"Hamel","year":"2020","journal-title":"J. Environ. Manag."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"14593","DOI":"10.1073\/pnas.1911439117","article-title":"Using gross ecosystem product (GEP) to value nature in decision making","volume":"117","author":"Ouyang","year":"2020","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"29043","DOI":"10.1029\/97JD02235","article-title":"BIOME-BGC simulations of stand hydrologic processes for BOREAS","volume":"102","author":"Kimball","year":"1997","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"733","DOI":"10.1016\/j.jhydrol.2015.03.027","article-title":"A continental-scale hydrology and water quality model for Europe: Calibration and uncertainty of a high-resolution large-scale SWAT model","volume":"524","author":"Abbaspour","year":"2015","journal-title":"J. Hydrol."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"321","DOI":"10.5194\/gmd-10-321-2017","article-title":"Representing nighttime and minimum conductance in CLM4.5: Global hydrology and carbon sensitivity analysis using observational constraints","volume":"10","author":"Lombardozzi","year":"2017","journal-title":"Geosci. Model Dev."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2499","DOI":"10.1002\/hyp.1017","article-title":"Effects of land-cover changes on the hydrological response of interior Columbia River basin forested catchments","volume":"16","author":"VanShaar","year":"2002","journal-title":"Hydrol. Processes"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"570","DOI":"10.1002\/eco.1526","article-title":"Investigating the influence of two different flow routing algorithms on soil\u2013water\u2013vegetation interactions using the dynamic ecosystem model LPJ-GUESS","volume":"8","author":"Tang","year":"2015","journal-title":"Ecohydrology"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"107897","DOI":"10.1016\/j.agrformet.2019.107897","article-title":"Evaluating drought-induced mortality risk for Robinia pseudoacacia plantations along the precipitation gradient on the Chinese Loess Plateau","volume":"284","author":"Zhang","year":"2020","journal-title":"Agric. For. Meteorol."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"124822","DOI":"10.1016\/j.jhydrol.2020.124822","article-title":"Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia","volume":"585","author":"Zhang","year":"2020","journal-title":"J. Hydrol."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"298","DOI":"10.1016\/j.rse.2004.10.004","article-title":"Estimation of net primary productivity by integrating remote sensing data with an ecosystem model","volume":"94","author":"Hazarika","year":"2005","journal-title":"Remote Sens. Environ."},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Ma, R., Zhang, L., Tian, X., Zhang, J., Yuan, W., Zheng, Y., Zhao, X., and Kato, T. (2017). Assimilation of Remotely-Sensed Leaf Area Index into a Dynamic Vegetation Model for Gross Primary Productivity Estimation. Remote Sens., 9.","DOI":"10.3390\/rs9030188"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"125957","DOI":"10.1016\/j.jhydrol.2021.125957","article-title":"Role of remotely sensed leaf area index assimilation in eco-hydrologic processes in different ecosystems over East Asia with Community Land Model version 4.5\u2013Biogeochemistry","volume":"594","author":"Seo","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"e2020GL091496","DOI":"10.1029\/2020GL091496","article-title":"Where Are Global Vegetation Greening and Browning Trends Significant?","volume":"48","author":"Mahecha","year":"2021","journal-title":"Geophys. Res. Lett."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"312","DOI":"10.1016\/j.apenergy.2019.02.027","article-title":"Remote sensing for vegetation monitoring in carbon capture storage regions: A review","volume":"240","author":"Chen","year":"2019","journal-title":"Appl. Energy"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.rse.2015.12.005","article-title":"A combined GLAS and MODIS estimation of the global distribution of mean forest canopy height","volume":"174","author":"Wang","year":"2016","journal-title":"Remote Sens. Environ."},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Cui, L., Jiao, Z., Dong, Y., Sun, M., Zhang, X., Yin, S., Ding, A., Chang, Y., Guo, J., and Xie, R. (2019). Estimating Forest Canopy Height Using MODIS BRDF Data Emphasizing Typical-Angle Reflectances. Remote Sens., 11.","DOI":"10.3390\/rs11192239"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"140790","DOI":"10.1016\/j.scitotenv.2020.140790","article-title":"Mapping forest type and age in China\u2019s plantations","volume":"744","author":"Yu","year":"2020","journal-title":"Sci. Total Environ."},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Spracklen, B., and Spracklen, D.V. (2021). Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam. Remote Sens., 13.","DOI":"10.3390\/rs13020185"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"3997","DOI":"10.1111\/gcb.15117","article-title":"Comparison of forest above-ground biomass from dynamic global vegetation models with spatially explicit remotely sensed observation-based estimates","volume":"26","author":"Yang","year":"2020","journal-title":"Glob. Chang. Biol."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"149700","DOI":"10.1016\/j.scitotenv.2021.149700","article-title":"Spatial patterns and driving factors of aboveground and belowground biomass over the eastern Eurasian steppe","volume":"803","author":"Ding","year":"2022","journal-title":"Sci. Total Environ."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"6005","DOI":"10.1111\/gcb.15872","article-title":"Detecting forest response to droughts with global observations of vegetation water content","volume":"27","author":"Konings","year":"2021","journal-title":"Glob. Chang. Biol."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"178","DOI":"10.1016\/j.isprsjprs.2021.11.002","article-title":"Seasonal and interannual drought responses of vegetation in a California urbanized area measured using complementary remote sensing indices","volume":"183","author":"Miller","year":"2022","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1092","DOI":"10.1002\/2014JG002616","article-title":"Effects of land use\/land cover and climate changes on terrestrial net primary productivity in the Yangtze River Basin, China, from 2001 to 2010","volume":"119","author":"Zhang","year":"2014","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Shen, W., Li, M., Huang, C., Tao, X., Li, S., and Wei, A. (2019). Mapping Annual Forest Change Due to Afforestation in Guangdong Province of China Using Active and Passive Remote Sensing Data. Remote Sens., 11.","DOI":"10.3390\/rs11050490"},{"key":"ref_41","first-page":"4096","article-title":"Remotely sensed vegetation greening along a restoration gradient of a tropical forest, Kibale National Park, Uganda","volume":"11","author":"Valtonen","year":"2021","journal-title":"Land Degrad. Dev."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"171","DOI":"10.1016\/j.agrformet.2016.11.193","article-title":"Land surface phenology derived from normalized difference vegetation index (NDVI) at global FLUXNET sites","volume":"233","author":"Wu","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.isprsjprs.2021.08.003","article-title":"Improving the accuracy of spring phenology detection by optimally smoothing satellite vegetation index time series based on local cloud frequency","volume":"180","author":"Tian","year":"2021","journal-title":"ISPRS J. Photogramm. Remote Sens."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"2337","DOI":"10.1111\/geb.13386","article-title":"Woody plant encroachment enhanced global vegetation greening and ecosystem water-use efficiency","volume":"30","author":"Deng","year":"2021","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1573","DOI":"10.1080\/01431160903475357","article-title":"Prediction of summer grain crop yield with a process-based ecosystem model and remote sensing data for the northern area of the Jiangsu Province, China","volume":"31","author":"Ju","year":"2010","journal-title":"Int. J. Remote Sens."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"546","DOI":"10.1890\/14-0497.1","article-title":"Model-data assimilation of multiple phenological observations to constrain and predict leaf area index","volume":"25","author":"Viskari","year":"2015","journal-title":"Ecol. Appl."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/j.agrformet.2005.06.002","article-title":"Simulation of water and carbon fluxes using BIOME-BGC model over crops in China","volume":"131","author":"Wang","year":"2005","journal-title":"Agric. For. Meteorol."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/j.rse.2012.06.004","article-title":"Global estimation of evapotranspiration using a leaf area index-based surface energy and water balance model","volume":"124","author":"Yan","year":"2012","journal-title":"Remote Sens. Environ."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"69","DOI":"10.1016\/j.agrformet.2015.03.001","article-title":"Spatial distributions of optimal plant coverage for the dominant tree and shrub species along a precipitation gradient on the central Loess Plateau","volume":"206","author":"Zhang","year":"2015","journal-title":"Agric. For. Meteorol."},{"key":"ref_50","first-page":"415","article-title":"A test of BIOME-BGC with dendrochronology for forests along the altitudinal gradient of Mt. Changbai in northeast China","volume":"10","author":"Wu","year":"2017","journal-title":"J. Plant Ecol."},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"7775","DOI":"10.1021\/acs.est.0c00017","article-title":"The Regional Impact of Ecological Restoration in the Arid Steppe on Dust Reduction over the Metropolitan Area in Northeastern China","volume":"54","author":"Zhou","year":"2020","journal-title":"Environ. Sci. Technol."},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"163","DOI":"10.1016\/j.jclepro.2019.03.184","article-title":"Greenhouse gas emissions and net carbon sequestration of the Beijing-Tianjin Sand Source Control Project in China","volume":"225","author":"Liu","year":"2019","journal-title":"J. Clean. Prod."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.ecoleng.2017.12.017","article-title":"Evaluating the net value of ecosystem services to support ecological engineering: Framework and a case study of the Beijing Plains afforestation project","volume":"112","author":"Yu","year":"2018","journal-title":"Ecol. Eng."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"126392","DOI":"10.1016\/j.ufug.2019.126392","article-title":"Beijing\u2019s 50 million new urban trees: Strategic governance for large-scale urban afforestation","volume":"44","author":"Yao","year":"2019","journal-title":"Urban For. Urban Green."},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.ecolmodel.2005.04.008","article-title":"Ecosystem model spin-up: Estimating steady state conditions in a coupled terrestrial carbon and nitrogen cycle model","volume":"189","author":"Thornton","year":"2005","journal-title":"Ecol. Model."},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"735","DOI":"10.1093\/treephys\/23.11.735","article-title":"Modeling effects of hydrological changes on the carbon and nitrogen balance of oak in floodplains","volume":"23","author":"Pietsch","year":"2003","journal-title":"Tree Physiol."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1093\/treephys\/tpr033","article-title":"Assessing the impacts of climate change and nitrogen deposition on Norway spruce (Picea abies L. Karst) growth in Austria with BIOME-BGC","volume":"31","author":"Eastaugh","year":"2011","journal-title":"Tree Physiol."},{"key":"ref_58","doi-asserted-by":"crossref","first-page":"108339","DOI":"10.1016\/j.agrformet.2021.108339","article-title":"Effects of anthropogenic revegetation on the water and carbon cycles of a desert steppe ecosystem","volume":"300","author":"Du","year":"2021","journal-title":"Agric. For. Meteorol."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"2178","DOI":"10.1111\/geb.13374","article-title":"A deep-learning-based experiment for benchmarking the performance of global terrestrial vegetation phenology models","volume":"30","author":"Zhou","year":"2021","journal-title":"Glob. Ecol. Biogeogr."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"You, Y., Wang, S., Ma, Y., Wang, X., and Liu, W. (2019). Improved Modeling of Gross Primary Productivity of Alpine Grasslands on the Tibetan Plateau Using the Biome-BGC Model. Remote Sens., 11.","DOI":"10.3390\/rs11111287"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1186\/s40663-019-0171-5","article-title":"Improved simulation of carbon and water fluxes by assimilating multi-layer soil temperature and moisture into process-based biogeochemical model","volume":"6","author":"Yan","year":"2019","journal-title":"For. Ecosyst."},{"key":"ref_62","doi-asserted-by":"crossref","first-page":"e2019JG005160","DOI":"10.1029\/2019JG005160","article-title":"Observing and Simulating Spatial Variations of Forest Carbon Stocks in Complex Terrain","volume":"125","author":"Smeglin","year":"2020","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1111\/j.1365-2486.2006.01277.x","article-title":"Constraining rooting depths in tropical rainforests using satellite data and ecosystem modeling for accurate simulation of gross primary production seasonality","volume":"13","author":"Ichii","year":"2007","journal-title":"Glob. Change Biol."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"531","DOI":"10.1002\/2017JG004360","article-title":"Optimized Application of Biome-BGC for Modeling the Daily GPP of Natural Vegetation Over Peninsular Spain","volume":"123","author":"Chiesi","year":"2018","journal-title":"J. Geophys. Res. Biogeosci."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Yan, M., Tian, X., Li, Z., Chen, E., Wang, X., Han, Z., and Sun, H. (2016). Simulation of Forest Carbon Fluxes Using Model Incorporation and Data Assimilation. Remote Sens., 8.","DOI":"10.3390\/rs8070567"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.agrformet.2017.05.026","article-title":"Modeling forest above-ground biomass dynamics using multi-source data and incorporated models: A case study over the qilian mountains","volume":"246","author":"Tian","year":"2017","journal-title":"Agric. For. Meteorol."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/0304-3800(88)90112-3","article-title":"A general model of forest ecosystem processes for regional applications I. Hydrologic balance, canopy gas exchange and primary production processes","volume":"42","author":"Running","year":"1988","journal-title":"Ecol. Model."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"593","DOI":"10.1098\/rstb.1976.0035","article-title":"The interpretation of the variations in leaf water potential and stomatal conductance found in canopies in the field","volume":"273","author":"Jarvis","year":"1976","journal-title":"Philos. Trans. R. Soc. London. B Biol. Sci."},{"key":"ref_69","doi-asserted-by":"crossref","first-page":"959","DOI":"10.5194\/bg-7-959-2010","article-title":"Simulating carbon and water cycles of larch forests in East Asia by the BIOME-BGC model with AsiaFlux data","volume":"7","author":"Ueyama","year":"2010","journal-title":"Biogeosciences"},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"9692","DOI":"10.1038\/s41598-021-88914-0","article-title":"Changes in soil water holding capacity and water availability following vegetation restoration on the Chinese Loess Plateau","volume":"11","author":"Zhang","year":"2021","journal-title":"Sci. Rep."},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"104076","DOI":"10.1016\/j.catena.2019.104076","article-title":"Effects of forest litter cover on hydrological response of hillslopes in the Loess Plateau of China","volume":"181","author":"Xia","year":"2019","journal-title":"CATENA"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"2911","DOI":"10.1002\/hyp.13779","article-title":"Comparison of the effects of litter covering and incorporation on infiltration and soil erosion under simulated rainfall","volume":"34","author":"Wang","year":"2020","journal-title":"Hydrol. Processes"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.agrformet.2016.02.019","article-title":"Carbon and energy flux from a Phragmites australis wetland in Zhangye oasis-desert area, China","volume":"230\u2013231","author":"Zhang","year":"2016","journal-title":"Agric. For. Meteorol."},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"248","DOI":"10.2307\/1941931","article-title":"Validating Diurnal Climatology Logic of the MT-CLIM Model Across a Climatic Gradient in Oregon","volume":"4","author":"Glassy","year":"1994","journal-title":"Ecol Appl"},{"key":"ref_75","doi-asserted-by":"crossref","first-page":"083686","DOI":"10.1117\/1.JRS.8.083686","article-title":"Object-based approach to national land cover mapping using HJ satellite imagery","volume":"8","author":"Zhang","year":"2014","journal-title":"J. Appl. Remote Sens."},{"key":"ref_76","unstructured":"Thornton, P.E. (2021, June 12). Theoretical Framework of Biome-BGC Version 4.2. Available online: https:\/\/www.ntsg.umt.edu\/files\/biome-bgc\/Golinkoff_BiomeBGCv4.2_TheoreticalBasis_1_18_10.pdf."},{"key":"ref_77","doi-asserted-by":"crossref","first-page":"739","DOI":"10.1029\/2018RG000608","article-title":"An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications","volume":"57","author":"Fang","year":"2019","journal-title":"Rev. Geophys."},{"key":"ref_78","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1016\/j.rse.2006.07.026","article-title":"Spatially and temporally continuous LAI data sets based on an integrated filtering method: Examples from North America","volume":"112","author":"Fang","year":"2008","journal-title":"Remote Sens. Environ."},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"833","DOI":"10.1016\/j.cageo.2004.05.006","article-title":"TIMESAT\u2014a program for analyzing time-series of satellite sensor data","volume":"30","author":"Eklundh","year":"2004","journal-title":"Comput. Geosci."},{"key":"ref_80","doi-asserted-by":"crossref","first-page":"1171","DOI":"10.1016\/j.rse.2011.01.001","article-title":"Reprocessing the MODIS Leaf Area Index products for land surface and climate modelling","volume":"115","author":"Yuan","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_81","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1016\/j.rse.2010.08.009","article-title":"Real-time retrieval of Leaf Area Index from MODIS time series data","volume":"115","author":"Xiao","year":"2011","journal-title":"Remote Sens. Environ."},{"key":"ref_82","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1029\/2004GL021700","article-title":"Global assimilation of satellite surface soil moisture retrievals into the NASA Catchment land surface model","volume":"32","author":"Reichle","year":"2005","journal-title":"Geophys. Res. Lett."},{"key":"ref_83","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/S0921-8181(03)00025-0","article-title":"Variable infiltration capacity cold land process model updates","volume":"38","author":"Cherkauer","year":"2003","journal-title":"Glob. Planet. Chang."},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"D12109","DOI":"10.1029\/2010JD015139","article-title":"The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements","volume":"116","author":"Niu","year":"2011","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","article-title":"Random Forests","volume":"45","author":"Breiman","year":"2001","journal-title":"Mach. Learn."},{"key":"ref_86","doi-asserted-by":"crossref","first-page":"105062","DOI":"10.1016\/j.catena.2020.105062","article-title":"Digital mapping of the soil thickness of loess deposits over a calcareous bedrock in central France","volume":"198","author":"Chen","year":"2021","journal-title":"Catena"},{"key":"ref_87","doi-asserted-by":"crossref","first-page":"126981","DOI":"10.1016\/j.jhydrol.2021.126981","article-title":"Vegetation greening concurs with increases in dry season water yield over the Upper Brahmaputra River basin","volume":"603","author":"Li","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_88","doi-asserted-by":"crossref","first-page":"111867","DOI":"10.1016\/j.jenvman.2020.111867","article-title":"Evaluating ecological effects of roadside slope restoration techniques: A global meta-analysis","volume":"281","author":"Wang","year":"2021","journal-title":"J. Environ. Manag."},{"key":"ref_89","doi-asserted-by":"crossref","first-page":"106152","DOI":"10.1016\/j.ecolind.2020.106152","article-title":"Large spatial variations in the distributions of and factors affecting forest water retention capacity in China","volume":"113","author":"Wu","year":"2020","journal-title":"Ecol. Indic."},{"key":"ref_90","doi-asserted-by":"crossref","first-page":"108274","DOI":"10.1016\/j.ecolind.2021.108274","article-title":"Estimations of forest water retention across China from an observation site-scale to a national-scale","volume":"132","author":"Wu","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_91","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1146\/annurev.soc.34.040507.134631","article-title":"Nonparametric Methods for Modeling Nonlinearity in Regression Analysis","volume":"35","author":"Andersen","year":"2009","journal-title":"Annu. Rev. Sociol."},{"key":"ref_92","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1016\/j.ecolind.2012.03.032","article-title":"Forest age class structures as indicators of sustainability in boreal forest: Are we measuring them correctly?","volume":"23","author":"Garet","year":"2012","journal-title":"Ecol. Indic."},{"key":"ref_93","doi-asserted-by":"crossref","first-page":"406","DOI":"10.1007\/s11769-014-0702-5","article-title":"Biomass carbon storage and its sequestration potential of afforestation under natural forest protection program in China","volume":"24","author":"Zhou","year":"2014","journal-title":"Chin. Geogr. Sci."},{"key":"ref_94","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Tian, Y., Ding, S., Lv, Y., Samjhana, W., and Fang, S. (2020). Growth, Carbon Storage, and Optimal Rotation in Poplar Plantations: A Case Study on Clone and Planting Spacing Effects. Forests, 11.","DOI":"10.3390\/f11080842"},{"key":"ref_95","doi-asserted-by":"crossref","first-page":"e1851","DOI":"10.1002\/eco.1851","article-title":"Estimating regional losses of soil water due to the conversion of agricultural land to forest in China\u2019s Loess Plateau","volume":"10","author":"Jia","year":"2017","journal-title":"Ecohydrology"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.foreco.2018.03.005","article-title":"Soil water depletion patterns of artificial forest species and ages on the Loess Plateau (China)","volume":"417","author":"Liu","year":"2018","journal-title":"For. Ecol. Manag."},{"key":"ref_97","doi-asserted-by":"crossref","first-page":"14","DOI":"10.1111\/nph.13354","article-title":"What plant hydraulics can tell us about responses to climate-change droughts","volume":"207","author":"Sperry","year":"2015","journal-title":"New Phytol."},{"key":"ref_98","doi-asserted-by":"crossref","first-page":"106985","DOI":"10.1016\/j.agwat.2021.106985","article-title":"Soil-water deficit in deep soil layers results from the planted forest in a semi-arid sandy land: Implications for sustainable agroforestry water management","volume":"254","author":"Huang","year":"2021","journal-title":"Agric. Water Manag."},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.envexpbot.2016.02.006","article-title":"Water use patterns of Pinus sylvestris var. mongolica trees of different ages in a semiarid sandy lands of Northeast China","volume":"129","author":"Song","year":"2016","journal-title":"Environ. Exp. Bot."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"94","DOI":"10.1016\/j.agwat.2012.02.010","article-title":"Effects of land use changes on the groundwater table and the decline of Pinus sylvestris var. mongolica plantations in southern Horqin Sandy Land, Northeast China","volume":"109","author":"Zheng","year":"2012","journal-title":"Agric. Water Manag."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"363","DOI":"10.1016\/j.catena.2017.05.031","article-title":"The trade-off in the establishment of artificial plantations by evaluating soil properties at the margins of oases","volume":"157","author":"Liu","year":"2017","journal-title":"CATENA"},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"806","DOI":"10.1111\/j.1365-2486.2011.02589.x","article-title":"On the forest cover\u2013water yield debate: From demand- to supply-side thinking","volume":"18","author":"Ellison","year":"2012","journal-title":"Glob. Chang. Biol."},{"key":"ref_103","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1016\/j.jhydrol.2004.12.010","article-title":"A review of paired catchment studies for determining changes in water yield resulting from alterations in vegetation","volume":"310","author":"Brown","year":"2005","journal-title":"J. Hydrol."},{"key":"ref_104","doi-asserted-by":"crossref","first-page":"697","DOI":"10.1007\/s11676-015-0119-8","article-title":"Effect of reforestation on annual water yield in a large watershed in northeast China","volume":"26","author":"Yao","year":"2015","journal-title":"J. For. Res."},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"126529","DOI":"10.1016\/j.jhydrol.2021.126529","article-title":"Quantitative association between the water yield impacts of forest cover changes and the biophysical effects of forest cover on temperatures","volume":"600","author":"Chen","year":"2021","journal-title":"J. Hydrol."},{"key":"ref_106","first-page":"2009","article-title":"An overview of the effects of forest management on groundwater hydrology","volume":"10","author":"Smerdon","year":"2009","journal-title":"J. Ecosyst. Manag."},{"key":"ref_107","doi-asserted-by":"crossref","first-page":"1179","DOI":"10.1002\/hyp.7233","article-title":"Response of hydrological processes to land-cover and climate changes in Kejie watershed, south-west China","volume":"23","author":"Ma","year":"2009","journal-title":"Hydrol. Processes"},{"key":"ref_108","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1016\/j.jhydrol.2017.05.055","article-title":"Annual baseflow variations as influenced by climate variability and agricultural land use change in the Missouri River Basin","volume":"551","author":"Ahiablame","year":"2017","journal-title":"J. Hydrol."},{"key":"ref_109","doi-asserted-by":"crossref","first-page":"946","DOI":"10.1016\/j.jhydrol.2019.04.064","article-title":"Forests as \u2018sponges\u2019 and \u2018pumps\u2019: Assessing the impact of deforestation on dry-season flows across the tropics","volume":"574","author":"Bruijnzeel","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/j.agee.2004.01.015","article-title":"Hydrological functions of tropical forests: Not seeing the soil for the trees?","volume":"104","author":"Bruijnzeel","year":"2004","journal-title":"Agric. Ecosyst. Environ."},{"key":"ref_111","doi-asserted-by":"crossref","first-page":"4747","DOI":"10.5194\/hess-20-4747-2016","article-title":"Hydrological recovery in two large forested watersheds of southeastern China: The importance of watershed properties in determining hydrological responses to reforestation","volume":"20","author":"Liu","year":"2016","journal-title":"Hydrol. Earth Syst. Sci."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"448","DOI":"10.1016\/j.jhydrol.2017.12.056","article-title":"The cumulative effects of forest disturbance and climate variability on streamflow components in a large forest-dominated watershed","volume":"557","author":"Li","year":"2018","journal-title":"J. Hydrol."},{"key":"ref_113","first-page":"53","article-title":"Water balances of old-growth and regenerating montane cloud forests in central Veracruz, Mexico","volume":"462\u2013463","author":"Holwerda","year":"2012","journal-title":"J. Hydrol."},{"key":"ref_114","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1016\/j.catena.2015.08.016","article-title":"Interaction of soil water storage dynamics and long-term natural vegetation succession on the Loess Plateau, China","volume":"137","author":"Zhang","year":"2016","journal-title":"CATENA"},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"437","DOI":"10.1016\/j.agrformet.2010.11.016","article-title":"Impacts of land use and plant characteristics on dried soil layers in different climatic regions on the Loess Plateau of China","volume":"151","author":"Wang","year":"2011","journal-title":"Agric. For. Meteorol."},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"335","DOI":"10.1016\/j.agrformet.2019.02.017","article-title":"A numerical analysis of aggregation error in evapotranspiration estimates due to heterogeneity of soil moisture and leaf area index","volume":"269\u2013270","author":"Chen","year":"2019","journal-title":"Agric. For. Meteorol."},{"key":"ref_117","doi-asserted-by":"crossref","first-page":"185","DOI":"10.1016\/S0168-1923(02)00108-9","article-title":"Modeling and measuring the effects of disturbance history and climate on carbon and water budgets in evergreen needleleaf forests","volume":"113","author":"Thornton","year":"2002","journal-title":"Agric. For. Meteorol."},{"key":"ref_118","doi-asserted-by":"crossref","first-page":"e1974","DOI":"10.1002\/eco.1974","article-title":"Use of satellite leaf area index estimating evapotranspiration and gross assimilation for Australian ecosystems","volume":"11","author":"Gan","year":"2018","journal-title":"Ecohydrology"},{"key":"ref_119","doi-asserted-by":"crossref","first-page":"83","DOI":"10.1016\/j.ecohyd.2018.03.005","article-title":"Simulation of evapotranspiration based on leaf area index, precipitation and pan evaporation: A case study of Poyang Lake watershed, China","volume":"19","author":"Bian","year":"2019","journal-title":"Ecohydrol. Hydrobiol."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"105930","DOI":"10.1016\/j.ecoleng.2020.105930","article-title":"Ecohydrological effects of litter cover on the hillslope-scale infiltration-runoff patterns for layered soil in forest ecosystem","volume":"155","author":"Zhu","year":"2020","journal-title":"Ecol. Eng."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"299","DOI":"10.1016\/S0169-5347(03)00071-5","article-title":"From space to species: Ecological applications for remote sensing","volume":"18","author":"Kerr","year":"2003","journal-title":"Trends Ecol. Evol."},{"key":"ref_122","doi-asserted-by":"crossref","first-page":"3288","DOI":"10.1016\/j.foreco.2008.02.017","article-title":"Airborne laser scanning-based prediction of coarse woody debris volumes in a conservation area","volume":"255","author":"Pesonen","year":"2008","journal-title":"For. Ecol. Manag."},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"107011","DOI":"10.1016\/j.ecolind.2020.107011","article-title":"Harnessing terrestrial laser scanning to predict understory biomass in temperate mixed forests","volume":"121","author":"Li","year":"2021","journal-title":"Ecol. Indic."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1641\/B571007","article-title":"The Ecological Significance of the Herbaceous Layer in Temperate Forest Ecosystems","volume":"57","author":"Gilliam","year":"2007","journal-title":"Bioscience"},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.foreco.2019.04.001","article-title":"Optimizing stand structure for tradeoffs between overstory and understory vegetation biomass in a larch plantation of Liupan Mountains, Northwest China","volume":"443","author":"Ahmad","year":"2019","journal-title":"For. Ecol. Manag."},{"key":"ref_126","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1016\/j.agrformet.2009.02.003","article-title":"Evapotranspiration from understory vegetation in an eastern Siberian boreal larch forest","volume":"149","author":"Iida","year":"2009","journal-title":"Agric. For. Meteorol."},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1016\/S0168-1923(03)00116-3","article-title":"Partitioning overstory and understory evapotranspiration in a semiarid savanna woodland from the isotopic composition of water vapor","volume":"119","author":"Yepez","year":"2003","journal-title":"Agric. For. Meteorol."},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"862","DOI":"10.1016\/j.jhydrol.2019.04.088","article-title":"Understory interception contributed to the convergence of surface runoff between a Chinese fir plantation and a secondary broadleaf forest","volume":"574","author":"Jiang","year":"2019","journal-title":"J. Hydrol."},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Song, J., Zhu, X., Qi, J., Pang, Y., Yang, L., and Yu, L. (2021). A Method for Quantifying Understory Leaf Area Index in a Temperate Forest through Combining Small Footprint Full-Waveform and Point Cloud LiDAR Data. Remote Sens., 13.","DOI":"10.3390\/rs13153036"},{"key":"ref_130","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1890\/070001","article-title":"Lidar: Shedding new light on habitat characterization and modeling","volume":"6","author":"Vierling","year":"2008","journal-title":"Front. Ecol. Environ."},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"408","DOI":"10.1016\/j.rse.2006.04.005","article-title":"Impact of understory vegetation on forest canopy reflectance and remotely sensed LAI estimates","volume":"103","author":"Eriksson","year":"2006","journal-title":"Remote Sens. Environ."}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/3\/743\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,10]],"date-time":"2025-10-10T22:14:33Z","timestamp":1760134473000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/14\/3\/743"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,5]]},"references-count":131,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2022,2]]}},"alternative-id":["rs14030743"],"URL":"https:\/\/doi.org\/10.3390\/rs14030743","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,2,5]]}}}