{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T22:59:07Z","timestamp":1780700347833,"version":"3.54.1"},"reference-count":49,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2016,2,25]],"date-time":"2016-02-25T00:00:00Z","timestamp":1456358400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Remote Sensing"],"abstract":"<jats:p>The net primary productivity (NPP) is commonly used for understanding the dynamics of terrestrial ecosystems and their role in carbon cycle. We used a combination of the most recent NDVI and model-based NPP estimates (from five models of the TRENDY project) for the period 1982\u20132012, to study the role of terrestrial ecosystems in carbon cycle under the prevailing climate conditions. We found that 80% and 67% of the global land area showed positive NPP and NDVI values, respectively, for this period. The global NPP was estimated to be about 63 Pg C\u00b7y\u22121, with an increase of 0.214 Pg C\u00b7y\u22121\u00b7y\u22121. Similarly, the global mean NDVI was estimated to be 0.33, with an increasing trend of 0.00041 y\u22121. The spatial patterns of NPP and NDVI demonstrated substantial variability, especially at the regional level, for most part of the globe. However, on temporal scale, both global NPP and NDVI showed a corresponding pattern of increase (decrease) for the duration of this study except for few years (e.g., 1990 and 1995\u20131998). Generally, the Northern Hemisphere showed stronger NDVI and NPP increasing trends over time compared to the Southern Hemisphere; however, NDVI showed larger trends in Temperate regions while NPP showed larger trends in Boreal regions. Among the five models, the maximum and minimum NPP were produced by JULES (72.4 Pg C\u00b7y\u22121) and LPJ (53.72 Pg C\u00b7y\u22121) models, respectively. At latitudinal level, the NDVI and NPP ranges were ~0.035 y\u22121 to ~\u22120.016 y\u22121 and ~0.10 Pg C\u00b7y\u22121\u00b7y\u22121 to ~\u22120.047 Pg C\u00b7y\u22121\u00b7y\u22121, respectively. Overall, the results of this study suggest that the modeled NPP generally correspond to the NDVI trends in the temporal dimension. The significant variability in spatial patterns of NPP and NDVI trends points to a need for research to understand the causes of these discrepancies between molded and observed ecosystem dynamics, and the carbon cycle.<\/jats:p>","DOI":"10.3390\/rs8030177","type":"journal-article","created":{"date-parts":[[2016,2,25]],"date-time":"2016-02-25T10:24:25Z","timestamp":1456395865000},"page":"177","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":69,"title":["Global and Regional Variability and Change in Terrestrial Ecosystems Net Primary Production and NDVI: A Model-Data Comparison"],"prefix":"10.3390","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9591-6588","authenticated-orcid":false,"given":"Rashid","family":"Rafique","sequence":"first","affiliation":[{"name":"Joint Global Change Research Institute, Pacific Northwest National Lab, College Park, MD 20740, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fang","family":"Zhao","sequence":"additional","affiliation":[{"name":"Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD 20740, USA"},{"name":"Potsdam Institute for Climate Impact Research, Telegraphenberg, 14412 Potsdam, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6919-0936","authenticated-orcid":false,"given":"Rogier","family":"De Jong","sequence":"additional","affiliation":[{"name":"Remote Sensing Laboratories, Department of Geography, University of Zurich, Winterthurerstrasse 190, 8057 Zurich, Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ning","family":"Zeng","sequence":"additional","affiliation":[{"name":"Department of Atmospheric and Oceanic Sciences, University of Maryland, College Park, MD 20740, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ghassem","family":"Asrar","sequence":"additional","affiliation":[{"name":"Joint Global Change Research Institute, Pacific Northwest National Lab, College Park, MD 20740, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,2,25]]},"reference":[{"key":"ref_1","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_2","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_3","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1890\/1540-9295(2003)001[0294:INPPIC]2.0.CO;2","article-title":"Increasing net primary production in China from 1982 to 1999","volume":"1","author":"Fang","year":"2003","journal-title":"Front. Ecol. Environ."},{"key":"ref_4","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. Rese. Atmos."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1038\/386698a0","article-title":"Increased plant growth in the northern high latitudes from 1981 to 1991","volume":"386","author":"Myneni","year":"1997","journal-title":"Nature"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"9552","DOI":"10.3390\/rs6109552","article-title":"Assessing land degradation and desertification using vegetation index data: Current frameworks and future directions","volume":"6","author":"Higginbottom","year":"2014","journal-title":"Remote Sens."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"1953","DOI":"10.1111\/gcb.12193","article-title":"Spatial relationship between climatologies and changes in global vegetation activity","volume":"19","author":"Schaepman","year":"2013","journal-title":"Glob. Chang. Biol."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1007\/s12040-015-0545-1","article-title":"Variations and trends of terrestrial NPP and its relation to climate change in the 10 CMIP5 models","volume":"124","author":"Li","year":"2015","journal-title":"J. Earth Syst. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2113","DOI":"10.3390\/rs5052113","article-title":"Trend change detection in NDVI time series: Effects of inter-annual variability and methodology","volume":"5","author":"Forkel","year":"2013","journal-title":"Remote Sens."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Dan, L., Ji, J., and He, Y. (2007). Use of ISLSCP II data to intercompare and validate the terrestrial net primary production in a land surface model coupled to a general circulation model. J. Geophys. Res. Atmos., 112.","DOI":"10.1029\/2006JD007721"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"233","DOI":"10.1007\/s10021-003-0189-x","article-title":"Remotely sensed interannual variations and trends in terrestrial net primary productivity 1981\u20132000","volume":"7","author":"Cao","year":"2004","journal-title":"Ecosystems"},{"key":"ref_12","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_13","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. Clim."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"1717","DOI":"10.5194\/bg-10-1717-2013","article-title":"Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations","volume":"10","author":"Randerson","year":"2013","journal-title":"Biogeosciences"},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"2015","DOI":"10.1111\/j.1365-2486.2008.01626.x","article-title":"Evaluation of the terrestrial carbon cycle, future plant geography and climate-carbon cycle feedbacks using five Dynamic Global Vegetation Models (DGVMs)","volume":"14","author":"Sitch","year":"2008","journal-title":"Glob. Chang. Biol."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"810","DOI":"10.3390\/rs5020810","article-title":"Trends and variability of AVHRR-derived NPP in India","volume":"5","author":"Bala","year":"2013","journal-title":"Remote Sens."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1029\/1998GB001059","article-title":"Uncertainties in global terrestrial biosphere modeling: 1. A comprehensive sensitivity analysis with a new photosynthesis and energy balance scheme","volume":"15","author":"Knorr","year":"2001","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"6241","DOI":"10.1029\/1998JD200106","article-title":"On the use of long-term global data of land reflectances and vegetation indices derived from the advanced very high resolution radiometer","volume":"104","author":"Gutman","year":"1999","journal-title":"J. Geophys. Res. Atmos."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"344","DOI":"10.1016\/j.agrformet.2005.09.004","article-title":"Potential monitoring of crop production using a satellite-based Climate-Variability Impact Index","volume":"132","author":"Zhang","year":"2005","journal-title":"Agric. For. Meteorol."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"481","DOI":"10.1109\/TGRS.1995.8746029","article-title":"The interpretation of spectral vegetation indexes","volume":"33","author":"Myneni","year":"1995","journal-title":"IEEE Trans. Geosci. Remote Sens."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"300","DOI":"10.2134\/agronj1984.00021962007600020029x","article-title":"Estimating Absorbed Photosynthetic Radiation and Leaf Area Index from Spectral Reflectance in Wheat","volume":"76","author":"Asrar","year":"1984","journal-title":"Agron. J."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"209","DOI":"10.1016\/0034-4257(95)00142-5","article-title":"Global discrimination of land cover types from metrics derived from AVHRR pathfinder data","volume":"54","author":"DeFries","year":"1995","journal-title":"Remote Sens. Environ."},{"key":"ref_23","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_24","doi-asserted-by":"crossref","first-page":"6929","DOI":"10.3390\/rs6086929","article-title":"A non-stationary 1981\u20132012 AVHRR NDVI3g time series","volume":"6","author":"Pinzon","year":"2014","journal-title":"Remote Sens"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"46","DOI":"10.1002\/2014GB004931","article-title":"Benchmarking the seasonal cycle of CO2 fluxes simulated by terrestrial ecosystem models","volume":"29","author":"Peng","year":"2015","journal-title":"Glob. Biogeochem. Cycles"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"8744","DOI":"10.1175\/JCLI-D-12-00831.1","article-title":"Terrestrial carbon cycle: Climate relations in eight CMIP5 Earth system models","volume":"26","author":"Shao","year":"2013","journal-title":"J. Clim."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"5717","DOI":"10.3390\/rs6065717","article-title":"Human land-use practices lead to global long-term increases in photosynthetic capacity","volume":"6","author":"Mueller","year":"2014","journal-title":"Remote Sens."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Piao, S., Ciais, P., Friedlingstein, P., de Noblet-Ducoudre, N., Cadule, P., Viovy, N., and Wang, T. (2009). Spatiotemporal patterns of terrestrial carbon cycle during the 20th century. Glob. Biogeochem. Cycles, 23.","DOI":"10.1029\/2008GB003339"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"940","DOI":"10.1126\/science.1192666","article-title":"Drought-Induced reduction in global terrestrial net primary production from 2000 through 2009","volume":"329","author":"Zhao","year":"2010","journal-title":"Science"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"653","DOI":"10.5194\/bg-12-653-2015","article-title":"Recent trends and drivers of regional sources and sinks of carbon dioxide","volume":"12","author":"Sitch","year":"2015","journal-title":"Biogeosciences"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Chen, J.M., Chen, B., Higuchi, K., Liu, J., Chan, D., Worthy, D., Tans, P., and Black, A. (2006). Boreal ecosystems sequestered more carbon in warmer years. Geophys. Res. Lett., 33.","DOI":"10.1029\/2006GL025919"},{"key":"ref_32","first-page":"1023","article-title":"NDVI-rainfall relationship using hyper-temporal satellite data in a portion of North Central Mexico (2000\u20132010)","volume":"7","year":"2012","journal-title":"Afr. J. Agric. Res."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"394","DOI":"10.1038\/nature13893","article-title":"Agricultural Green Revolution as a driver of increasing atmospheric CO2 seasonal amplitude","volume":"515","author":"Zeng","year":"2014","journal-title":"Nature"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"315","DOI":"10.1038\/ngeo844","article-title":"Reduction of forest soil respiration in response to nitrogen deposition","volume":"3","author":"Janssens","year":"2010","journal-title":"Nat. Geosci."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"564","DOI":"10.1126\/science.325_564","article-title":"Addicted to rubber","volume":"325","author":"Mann","year":"2009","journal-title":"Science"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"045501","DOI":"10.1088\/1748-9326\/6\/4\/045501","article-title":"Satellite observations of high northern latitude vegetation productivity changes between 1982 and 2008: Ecological variability and regional differences","volume":"6","author":"Beck","year":"2011","journal-title":"Environ. Res. Lett."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"660","DOI":"10.1016\/j.foreco.2009.09.001","article-title":"A global overview of drought and heat-induced tree mortality reveals emerging climate change risks for forests","volume":"259","author":"Allen","year":"2010","journal-title":"For. Ecol. Manag."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"469","DOI":"10.5194\/bg-6-469-2009","article-title":"Disentangling the effects of climate and people on Sahel vegetation dynamics","volume":"6","author":"Seaquist","year":"2009","journal-title":"Biogeosciences"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1038\/35009084","article-title":"Respiration as the main determinant of carbon balance in European forests","volume":"404","author":"Valentini","year":"2000","journal-title":"Nature"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1275","DOI":"10.1007\/s10661-011-2039-1","article-title":"Evaluating the difference between the normalized difference vegetation index and net primary productivity as the indicators of vegetation vigor assessment at landscape scale","volume":"184","author":"Xu","year":"2012","journal-title":"Environ. Monit. Assess."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1046\/j.1365-2486.1999.00004.x","article-title":"Comparing global models of terrestrial net primary productivity (NPP): Comparison of NPP to climate and the Normalized Difference Vegetation Index (NDVI)","volume":"5","author":"Schloss","year":"1999","journal-title":"Glob. Chang. Biol."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"196","DOI":"10.1016\/j.ecolmodel.2014.11.022","article-title":"An algorithmic calibration approach to identify globally optimal parameters for constraining the DayCent model","volume":"297","author":"Rafique","year":"2015","journal-title":"Ecol. Model."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2209","DOI":"10.1175\/1520-0477(1999)080<2209:NDIEOS>2.0.CO;2","article-title":"New directions in earth observing: Scientific applications of multiangle remote sensing","volume":"80","author":"Diner","year":"1999","journal-title":"Bull. Am. Meteorol. Soc."},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/0034-4257(88)90043-0","article-title":"Soil and atmosphere influences on the spectra of partial canopies","volume":"25","author":"Huete","year":"1988","journal-title":"Remote Sens. Environ."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1016\/S0034-4257(02)00096-2","article-title":"Overview of the radiometric and biophysical performance of the MODIS vegetation indices","volume":"83","author":"Huete","year":"2002","journal-title":"Remote Sens. Environ."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1049","DOI":"10.1002\/2014MS000331","article-title":"Steady state estimation of soil organic carbon using satellite-derived canopy leaf area index","volume":"6","author":"Fang","year":"2014","journal-title":"J. Adv. Model. Earth Syst."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1093\/aob\/mcu077","article-title":"Plant functional types in Earth system models: Past experiences and future directions for application of dynamic vegetation models in high-latitude ecosystems","volume":"114","author":"Wullschleger","year":"2014","journal-title":"Ann. Bot."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2261","DOI":"10.1098\/rstb.2007.2198","article-title":"Could increased boreal forest ecosystem productivity offset carbon losses from increased disturbances?","volume":"363","author":"Kurz","year":"2008","journal-title":"Philos. Trans. R. Soc. B Biol Sci."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Pan, S., Tian, H., Dangal, S.R., Zhang, C., Yang, J., Tao, B., Ouyang, Z., Wang, X., Lu, C., and Ren, W. (2014). Complex spatiotemporal responses of global terrestrial primary production to climate change and increasing atmospheric CO2 in the 21st century. PLoS ONE, 9.","DOI":"10.1371\/journal.pone.0112810"}],"container-title":["Remote Sensing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/3\/177\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:19:41Z","timestamp":1760210381000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2072-4292\/8\/3\/177"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,2,25]]},"references-count":49,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2016,3]]}},"alternative-id":["rs8030177"],"URL":"https:\/\/doi.org\/10.3390\/rs8030177","relation":{},"ISSN":["2072-4292"],"issn-type":[{"value":"2072-4292","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,2,25]]}}}