{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T06:07:28Z","timestamp":1764828448334,"version":"build-2065373602"},"reference-count":42,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2013,3,21]],"date-time":"2013-03-21T00:00:00Z","timestamp":1363824000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>Using a recent Leaf Area Index (LAI) dataset and the Community Land Model version 4 (CLM4), we investigated percent changes and controlling factors of global vegetation growth for the period 1982 to 2009. Over that 28-year period, both the  remote-sensing estimate and model simulation show a significant increasing trend in annual vegetation growth. Latitudinal asymmetry appeared in both products, with small increases in the Southern Hemisphere (SH) and larger increases at high latitudes in the Northern Hemisphere (NH). The south-to-north asymmetric land surface warming was assessed to be the principal driver of this latitudinal asymmetry of LAI trend. Heterogeneous precipitation functioned to decrease this latitudinal LAI gradient, and considerably regulated the local LAI change. A series of factorial experiments were specially-designed to isolate and quantify contributions to LAI trend from different external forcings such as climate variation, CO2, nitrogen deposition and land use and land cover change. The climate-only simulation confirms that climate change, particularly the asymmetry of land temperature variation, can explain the latitudinal pattern of LAI change. CO2 fertilization during the last three decades was simulated to be the dominant cause for the enhanced vegetation growth. Our study, though limited by observational and modeling uncertainties, adds further insight into vegetation growth trends and environmental correlations. These validation exercises also provide new quantitative and objective metrics for evaluation of land ecosystem process models at multiple spatio-temporal scales.<\/jats:p>","DOI":"10.3390\/rs5031484","type":"journal-article","created":{"date-parts":[[2013,3,21]],"date-time":"2013-03-21T13:07:25Z","timestamp":1363871245000},"page":"1484-1497","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":122,"title":["Global Latitudinal-Asymmetric Vegetation Growth Trends and Their Driving Mechanisms: 1982\u20132009"],"prefix":"10.3390","volume":"5","author":[{"given":"Jiafu","family":"Mao","sequence":"first","affiliation":[{"name":"Environmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA"}]},{"given":"Xiaoying","family":"Shi","sequence":"additional","affiliation":[{"name":"Environmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA"}]},{"given":"Peter","family":"Thornton","sequence":"additional","affiliation":[{"name":"Environmental Sciences Division, Climate Change Science Institute, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA"}]},{"given":"Forrest","family":"Hoffman","sequence":"additional","affiliation":[{"name":"Climate Change Science Institute\/Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN 37831, USA"}]},{"given":"Zaichun","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]},{"given":"Ranga","family":"Myneni","sequence":"additional","affiliation":[{"name":"Department of Earth and Environment, Boston University, 675 Commonwealth Avenue, Boston, MA 02215, USA"}]}],"member":"1968","published-online":{"date-parts":[[2013,3,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"RG4004","DOI":"10.1029\/2010RG000345","article-title":"Global surface temperature change","volume":"48","author":"Hansen","year":"2010","journal-title":"Rev. Geophys"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1029\/2000GL012471","article-title":"Biogeophysical versus biogeochemical feedbacks of large scale land cover change","volume":"28","author":"Claussen","year":"2001","journal-title":"Geophys. Res. Lett"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1038\/35041539","article-title":"Acceleration of global warming due to carbon-cycle feedbacks in a coupled climate model","volume":"408","author":"Cox","year":"2000","journal-title":"Nature"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3337","DOI":"10.1175\/JCLI3800.1","article-title":"Climate-carbon cycle feedback analysis: Results from the C4MIP model intercomparison","volume":"19","author":"Friedlingstein","year":"2006","journal-title":"J. Climate"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"525","DOI":"10.1038\/ngeo905","article-title":"Terrestrial biogeochemical feedbacks in the climate system","volume":"3","author":"Arneth","year":"2010","journal-title":"Nat. Geosci"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"108","DOI":"10.1016\/S0034-4257(99)00061-9","article-title":"A global terrestrial monitoring network integrating tower fluxes, flask sampling, ecosystem modeling and EOS satellite data","volume":"70","author":"Running","year":"1999","journal-title":"Remote Sens. Environ"},{"key":"ref_7","unstructured":"Trenberth, K.E., Jones, P.D., Ambenje, P., Bojarlu, R., Easterling, D., Tank, A.K., Parker, D., Rahimzadeh, R., Renwick, J., and Rusticucci, M. (2007). Climate Change 2007: The Physical Science Basis, Contribution of Working Group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1038\/386698a0","article-title":"Increased plant growth in the northern high latitudes from 1981\u20131991","volume":"386","author":"Myneni","year":"1997","journal-title":"Nature"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1126\/science.1082750","article-title":"Climate-driven increases in global terrestrial net primary production from 1982 to 1999","volume":"300","author":"Nemani","year":"2003","journal-title":"Science"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1002\/joc.893","article-title":"The evolution of, and revolution in, land surface schemes designed for climate models","volume":"23","author":"Pitman","year":"2003","journal-title":"Int. J. Climatol"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"GB1015","DOI":"10.1029\/2003GB002199","article-title":"A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system","volume":"19","author":"Krinner","year":"2005","journal-title":"Glob. Biogeochem. Cy."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"2302","DOI":"10.1175\/JCLI3742.1","article-title":"The community land model and its climate statistics as a component of the community climate system model","volume":"19","author":"Dickinson","year":"2006","journal-title":"J. Climate"},{"key":"ref_13","first-page":"G01025","article-title":"Use of FLUXNET in the community land model development","volume":"113","author":"Lawrence","year":"2008","journal-title":"J. Geophys. Res"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"2462","DOI":"10.1111\/j.1365-2486.2009.01912.x","article-title":"Systematic assessment of terrestrial biogeochemistry in coupled climate-carbon models","volume":"15","author":"Randerson","year":"2009","journal-title":"Glob. Change Biol"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"GB2016","DOI":"10.1029\/2009GB003556","article-title":"Benchmarking coupled climate-carbon models against long-term atmospheric CO2 measurements","volume":"24","author":"Cadule","year":"2010","journal-title":"Glob. Biogeochem. Cy."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"1443","DOI":"10.1029\/2002GL016749","article-title":"Assessment of global climate model land surface albedo using MODIS data","volume":"30","author":"Oleson","year":"2003","journal-title":"Geophys. Res. Lett"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"D01103","DOI":"10.1029\/2003JD003777","article-title":"Comparison of seasonal and spatial variations of leaf area index and fraction of absorbed photosynthetically active radiation from Moderate Resolution Imaging Spectroradiometer (MODIS) and Common Land Model","volume":"109","author":"Tian","year":"2004","journal-title":"J. Geophys. Res"},{"key":"ref_18","first-page":"907","article-title":"Evaluation of a Dynamic Global Vegetation Model using time series of satellite vegetation indices","volume":"4","author":"Maignan","year":"2011","journal-title":"Geosci. Model Dev. Discuss"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"014010","DOI":"10.1088\/1748-9326\/7\/1\/014010","article-title":"Causes of spring vegetation growth trends in the northern mid-high latitudes from 1982 to 2004","volume":"7","author":"Mao","year":"2012","journal-title":"Environ. Res. Lett"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"5327","DOI":"10.1175\/JCLI-D-11-00401.1","article-title":"Remote sensing evaluation of CLM4 GPP for the period 2000 to 2009","volume":"25","author":"Mao","year":"2012","journal-title":"J. Climate"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"20069","DOI":"10.1029\/2000JD000115","article-title":"Variations in northern vegetation activity inferred from satellite data of vegetation index during 1981 to 1999","volume":"106","author":"Zhou","year":"2001","journal-title":"J. Geophys. Res"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"1687","DOI":"10.1126\/science.1071828","article-title":"Climatic control of the high-latitude vegetation greening trend and Pinatubo effect","volume":"296","author":"Lucht","year":"2002","journal-title":"Science"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"L23402","DOI":"10.1029\/2006GL028205","article-title":"Effect of climate and CO2 changes on the greening of the Northern Hemisphere over the past two decades","volume":"33","author":"Piao","year":"2006","journal-title":"Geophys. Res. Lett"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"3228","DOI":"10.1111\/j.1365-2486.2011.02419.x","article-title":"Changes in satellite-derived vegetation growth trend in temperate and boreal Eurasia from 1982 to 2006","volume":"17","author":"Piao","year":"2011","journal-title":"Glob. Change Biol"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1240","DOI":"10.1073\/pnas.1014425108","article-title":"Spring temperature change and its implication in the change of vegetation growth in North America from 1982 to 2006","volume":"108","author":"Wang","year":"2011","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"10823","DOI":"10.1073\/pnas.0501647102","article-title":"Drier summers cancel out the CO2 uptake enhancement induced by warmer springs","volume":"102","author":"Angert","year":"2005","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5232","DOI":"10.1175\/2009JCLI2949.1","article-title":"Quantifying Carbon Cycle Feedbacks","volume":"22","author":"Gregory","year":"2009","journal-title":"J. Climate"},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"3327","DOI":"10.1111\/j.1365-2486.2010.02202.x","article-title":"Uncertainties in the 20th century carbon budget associated with land use change","volume":"16","author":"Arora","year":"2010","journal-title":"Glob. Change Biol"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"L13706","DOI":"10.1029\/2012GL052116","article-title":"Latitudinally asymmetric response of global surface temperature: Implications for regional climate change","volume":"39","author":"Xu","year":"2012","journal-title":"Geophys. Res. Lett"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"927","DOI":"10.3390\/rs5020927","article-title":"Global data sets of vegetation leaf area index (LAI)3g and Fraction of Photosynthetically Active Radiation (FPAR)3g derived from Global Inventory Modeling and Mapping Studies (GIMMS) Normalized Difference Vegetation Index (NDVI3g) for the period 1981 to 2011","volume":"5","author":"Zhu","year":"2013","journal-title":"Remote Sens"},{"key":"ref_31","unstructured":"Oleson, K., Lawrence, D., Gordon, B., Flanner, M., Kluzek, E., Peter, J., Levis, S., Swenson, S., Thornton, P., and Feddema, J. (2010). Technical Description of Version 4.0 of the Community Land Model (CLM), The National Center for Atmospheric Research (NCAR). NCAR Technical Note NCAR\/TN 478+STR;."},{"key":"ref_32","first-page":"1942","article-title":"Parameterization improvements and functional and structural advances in version 4 of the community land model","volume":"3","author":"Lawrence","year":"2011","journal-title":"J. Adv. Model. Earth Sys"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"L08704","DOI":"10.1029\/2011GL046773","article-title":"The impact of climate, CO2, nitrogen deposition and land use change on simulated contemporary global river flow","volume":"38","author":"Shi","year":"2011","journal-title":"Geophys. Res. Lett"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"4318","DOI":"10.1016\/j.rse.2008.07.013","article-title":"Generating vegetation leaf area index Earth system data record from multiple sensors. Part 2: Implementation, analysis and validation","volume":"112","author":"Sangram","year":"2008","journal-title":"Remote Sens. Environ"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"2547","DOI":"10.1016\/j.rse.2011.05.012","article-title":"Global evaluation of four AVHRR-NDVI data sets: Intercomparison and assessment against Landsat imagery","volume":"115","author":"Beck","year":"2011","journal-title":"Remote Sens. Environ"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"1208","DOI":"10.1111\/j.1365-2486.2006.01150.x","article-title":"The underpinnings of land use history: Three centuries of global gridded land use transitions, wood harvest activity, and resulting secondary lands","volume":"12","author":"Hurtt","year":"2006","journal-title":"Glob. Change Biol"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"953","DOI":"10.1175\/JHM540.1","article-title":"Simulation of global land surface conditions from 1948 to 2004. Part I: Forcing data and evaluations","volume":"7","author":"Qian","year":"2006","journal-title":"J. Hydrometeorol"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"2099","DOI":"10.5194\/bg-6-2099-2009","article-title":"Carbon-nitrogen interactions regulate climate-carbon cycle feedbacks: Results from an atmosphere-ocean general circulation model","volume":"6","author":"Thornton","year":"2009","journal-title":"Biogeosciences"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"G02014","DOI":"10.1029\/2010JG001593","article-title":"Improving canopy processes in the Community Land Model version 4 (CLM4) using global flux fields empirically inferred from FLUXNET data","volume":"116","author":"Bonan","year":"2011","journal-title":"J. Geophys. Res"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"2907","DOI":"10.5194\/bg-8-2907-2011","article-title":"Phosphorus transformations as a function of pedogenesis: A synthesis of soil phosphorus data using Hedley fractionation method","volume":"8","author":"Yang","year":"2011","journal-title":"Biogeosciences"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"4485","DOI":"10.1080\/01431160500168686","article-title":"An extended AVHRR 8-km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data","volume":"26","author":"Tucker","year":"2005","journal-title":"Int. J. Remote Sens"},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1787","DOI":"10.1109\/TGRS.2005.860205","article-title":"Evaluation of the consistency of long-term NDVI time series derived from AVHRR, SPOT-vegetation, SeaWiFS, MODIS, and Landsat ETM+ sensors","volume":"44","author":"Brown","year":"2006","journal-title":"IEEE Trans. Geosci. Remote Sens"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/3\/1484\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T21:45:42Z","timestamp":1760219142000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/5\/3\/1484"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2013,3,21]]},"references-count":42,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2013,3]]}},"alternative-id":["rs5031484"],"URL":"https:\/\/doi.org\/10.3390\/rs5031484","relation":{},"ISSN":["2072-4292"],"issn-type":[{"type":"electronic","value":"2072-4292"}],"subject":[],"published":{"date-parts":[[2013,3,21]]}}}