Publication Cover
Canadian Journal of Remote Sensing
Journal canadien de télédétection
Volume 44, 2018 - Issue 4
307
Views
12
CrossRef citations to date
0
Altmetric
Original Articles

Evaluation of Vegetation Responses to Climatic Factors and Global Vegetation Trends using GLASS LAI from 1982 to 2010

&
Pages 357-372 | Received 07 May 2017, Accepted 17 Sep 2018, Published online: 11 Jan 2019

References

  • Anderson, L., Malhi, Y., Aragao, L., Ladle, R., Arai, E., Barbier, N., and Phillips, O. 2010. “Remote sensing detection of droughts in Amazonian forest canopies.” New Phytologist, Vol. 187: pp. 733–750. doi:10.1111/j.1469-8137.2010.03355.x.
  • Avitabile, V., Baccini, A., Friedl, M.A., and Schmullius, C. 2012. Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda. Remote sensing of Environment, Vol. 117: pp. 366–380. doi:10.1016/j.rse.2011.10.012.
  • Bacour, C., Baret, F., Beal, D., Weiss, M., and Pavageau, K. 2006. Neural network estimation of LAI, fAPAR, fCover and LAI × C ab, from top of canopy MERIS reflectance data: Principles and validation. Remote sensing of Environment, Vol. 5(No. 4): pp. 313–325. doi:10.1016/j.rse.2006.07.014.
  • Beer, C., Reichstein, M., Tomelleri, E., Ciais, P., Jung, M., Carvalhais, N., Rodenbeck, C., Arain, M.A., Baldocchi, D., and Bonan, G.B. 2010. Terrestrial gross carbon dioxide uptake: global distribution and covariation with climate. science, Vol. 329(No. 5993): pp. 834–838. doi:10.1126/science.1184984.
  • Bonan, G.B. 2008. Forests and climate change: forcings, feedbacks, and the climate benefits of forests. science, Vol. 320(No. 5882): pp. 1444–1449. doi:10.1126/science.1155121.
  • Chen, J.M., and Black, T. 1992. Defining leaf area index for non-flat leaves. Plant, Cell & Environment, Vol. 15(No. 4): pp. 421–429. doi:10.1111/j.1365-3040.1992.tb00992.x.
  • Chen, T., Jeu, R.D., YY, L., GR, V.D.W., and AJ, D. 2014. Using satellite based soil moisture to quantify the water driven variability in NDVI: a case study over mainland Australia. Remote sensing of Environment, Vol. 140(No. 140): pp. 330–338. doi:10.1016/j.rse.2013.08.022.
  • Craine, J.M., Nippert, J.B., Elmore, A.J., Skibbe, A.M., Hutchinson, S.L., and Brunsell, N.A. 2012. Timing of climate variability and grassland productivity. Proceedings of the National Academy of Sciences, Vol. 109(No. 9): pp. 3401–3405. doi:10.1073/pnas.1118438109.
  • Fensholt, R., Langanke, T., Rasmussen, K., Reenberg, A., Prince, S.D., Tucker, C., Scholes, R.J., Le, Q.B., Bondeau, A., and Eastman, R. 2012. Greenness in semi-arid areas across the globe 1981-2007-an earth observing satellite based analysis of trends and drivers. Remote sensing of Environment, Vol. 121: pp. 144–158. doi:10.1016/j.rse.2012.01.017.
  • Friedl, M.A., McIver, D.K., Hodges, J.C., Zhang, X., Muchoney, D., Strahler, A.H., Woodcock, C.E., Gopal, S., Schneider, A., and Cooper, A. 2002. Global land cover mapping from MODIS: algorithms and early results. Remote sensing of Environment, Vol. 83(No. 1): pp. 287–302. doi:10.1016/S0034-4257(02)00078-0.
  • Friedl, M.A., Sulla-Menashe, D., Tan, B., Schneider, A., Ramankutty, N., Sibley, A., and Huang, X. 2010. MODIS Collection 5 global land cover: Algorithm refinements and characterization of new datasets. Remote sensing of Environment, Vol. 114(No. 1): pp. 168–182. doi:10.1016/j.rse.2009.08.016.
  • Gamon, J.A., Field, C.B., Goulden, M.L., Griffin, K.L., Hartley, A.E., Joel, G., Penuelas, J., and Valentini, R. 1995. Relationships between NDVI, canopy structure, and photosynthesis in three Californian vegetation types. Ecological Applications, Vol. 5(No. 1): pp. 28–41. doi:10.2307/1942049.
  • Harris, I., Jones, P., Osborn, T., and Lister, D. 2014. Updated high-resolution grids of monthly climatic observations-the CRU TS3. 10 Dataset. International journal of climatology, Vol. 34(No. 3): pp. 623–642. doi:10.1002/joc.3711.
  • Hicke, J.A., Asner, G.P., Randerson, J.T., Tucker, C., Los, S., Birdsey, R., Jenkins, J.C., and Field, C. 2002. Trends in North American net primary productivity derived from satellite observations, 1982-1998. Global Biogeochemical Cycles, Vol. 16(No. 2): pp. 2-1–2-14. doi:10.1029/2001GB001550.
  • Jaagus, J. 2006. Climatic changes in Estonia during the second half of the 20th century in relationship with changes in large-scale atmospheric circulation. Theoretical and Applied Climatology, Vol. 83(No. 1-4): pp. 77–88. doi:10.1007/s00704-005-0161-0.
  • JEONG, S.-J., HO, C.-O., GIM, H.-U., and Brown, M.E. 2011. Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982-2008. Global Change Biology, Vol. 17(No. 7): pp. 2385–2399. doi:10.1111/j.1365-2486.2011.02397.x.
  • Jeyaseelan, A., Roy, P., and Young, S. 2007. Persistent changes in NDVI between 1982 and 2003 over India using AVHRR GIMMS (Global Inventory Modeling and Mapping Studies) data. International Journal of Remote Sensing, Vol. 28(No. 21): pp. 4927–4946. doi:10.1080/01431160701253279.
  • Jong, R., Schaepman, M.E., Furrer, R., Bruin, S., and Verburg, P.H. 2013. Spatial relationship between climatologies and changes in global vegetation activity. Global Change Biology, Vol. 19(No. 6): pp. 1953–1964. doi:10.1111/gcb.12193.
  • Jong, R., Verbesselt, J., Schaepman, M.E., and Bruin, S. 2012. Trend changes in global greening and browning: contribution of short term trends to longer term change. Global Change Biology, Vol. 18(No. 2): pp. 642–655. doi:10.1111/j.1365-2486.2011.02578.x.
  • Julien, Y., Sobrino, J.A., and Verhoef, W. 2006. Changes in land surface temperatures and NDVI values over Europe between 1982 and 1999. Remote sensing of Environment, Vol. 103(No. 1): pp. 43–55. doi:10.1016/j.rse.2006.03.011.
  • Kimes, D., Knyazikhin, Y., Privette, J., Abuelgasim, A., and Gao, F. 2000. Inversion methods for physically-based models. Remote Sensing Reviews, Vol. 18(No. 2-4): pp. 381–439. doi:10.1080/02757250009532396.
  • Kucharik, C.J., Foley, J.A., Delire, C., Fisher, V.A., Coe, M.T., Lenters, J.D., Young-Molling, C., Ramankutty, N., Norman, J.M., and Gower, S.T. 2000. Testing the performance of a dynamic global ecosystem model: water balance, carbon balance, and vegetation structure. Global Biogeochemical Cycles, Vol. 14(No. 3): pp. 795–825. doi:10.1029/1999GB001138.
  • Laporte, N.T., Stabach, J.A., Grosch, R., Lin, T.S., and Goetz, S.J. 2007. Expansion of industrial logging in Central Africa. science, Vol. 316(No. 5830): pp. 1451–1451. doi:10.1126/science.1141057.
  • Liang, S. 2007. Recent developments in estimating land surface biogeophysical variables from optical remote sensing. Progress in Physical Geography, Vol. 31(No. 5): pp. 501–516. doi:10.1177/0309133307084626.
  • Liang, S., Zhao, X., Liu, S., Yuan, W., Cheng, X., Xiao, Z., Zhang, X., Liu, Q., Cheng, J., and Tang, H. 2013. A long-term Global LAnd Surface Satellite (GLASS) data-set for environmental studies. International Journal of Digital Earth, Vol. 6(No. sup1): pp. 5–33. doi:10.1080/17538947.2013.805262.
  • Liu, G., Liu, H., and Yin, Y. 2013. Global patterns of NDVI-indicated vegetation extremes and their sensitivity to climate extremes. Environmental Research Letters, Vol. 8(No. 2): pp. 025009. doi:10.1088/1748-9326/8/2/025009.
  • Liu, Y., and Lei, H. 2015. Responses of Natural Vegetation Dynamics to Climate Drivers in China from 1982 to 2011. Remote Sensing, Vol. 7(No. 8): pp. 10243–10268. doi:10.3390/rs70810243.
  • Liu, Y., Li, Y., Li, S., and Motesharrei, S. 2015. Spatial and Temporal Patterns of Global NDVI Trends: Correlations with Climate and Human Factors. Remote Sensing, Vol. 7(No. 10): pp. 13233–13250. doi:10.3390/rs71013233.
  • Lotsch, A., Friedl, M.A., Anderson, B.T., and Tucker, C.J. 2005. Response of terrestrial ecosystems to recent Northern Hemispheric drought. Geophysical Research Letters, Vol. 32(No. 6): pp. L06705. doi:10.1029/2004GL022043.
  • Malhi, Y., Roberts, J.T., Betts, R.A., Killeen, T.J., Li, W., and Nobre, C.A. 2008. Climate change, deforestation, and the fate of the Amazon. science, Vol. 319(No. 5860): pp. 169–172. doi:10.1126/science.1146961.
  • Mann, H.B. 1945. Nonparametric tests against trend. Econometrica: Journal of the Econometric Society, Vol. 13(No. 3): pp. 245–259. doi:10.2307/1907187.
  • Menzel, A., and Fabian, P. 1999. Growing season extended in Europe. Nature, Vol. 397(No. 6721): pp. 659–659. doi:10.1038/17709.
  • Mitchell, T.D., and Jones, P.D. 2005. An improved method of constructing a database of monthly climate observations and associated high-resolution grids. International journal of climatology, Vol. 25(No. 6): pp. 693–712. doi:10.1002/joc.1181.
  • Myers-Smith, I.H., Forbes, B.C., Wilmking, M., Hallinger, M., Lantz, T., Blok, D., Tape, K.D., Macias-Fauria, M., Sass-Klaassen, U., and Levesque, E. 2011. Shrub expansion in tundra ecosystems: dynamics, impacts and research priorities. Environmental Research Letters, Vol. 6(No. 4): pp. 045509. doi:10.1088/1748-9326/6/4/045509.
  • Nayak, R., Patel, N., and Dadhwal, V. 2013. Inter-annual variability and climate control of terrestrial net primary productivity over India. International journal of climatology, Vol. 33(No. 1): pp. 132–142. doi:10.1002/joc.3414.
  • Nemani, R.R., Keeling, C.D., Hashimoto, H., Jolly, W.M., Piper, S.C., Tucker, C.J., Myneni, R.B., and Running, S.W. 2003. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. science, Vol. 300(No. 5625): pp. 1560–1563. doi:10.1126/science.1082750.
  • New, M., Hulme, M., and Jones, P. 2000. Representing twentieth-century space-time climate variability. Part II: Development of 1901-96 monthly grids of terrestrial surface climate. Journal of Climate, Vol. 13(No. 13): pp. 2217–2238. doi:10.1175/1520-0442(2000)013<2217:RTCSTC>2.0.CO;2.
  • Park, H.-S., and Sohn, B. 2010. Recent trends in changes of vegetation over East Asia coupled with temperature and rainfall variations. Journal of Geophysical Research: Atmospheres (1984-2012), Vol. 115(No. D14): pp. D14101. doi:10.1029/2009JD012752.
  • Pearson, R.G., Phillips, S.J., Loranty, M.M., Beck, P.S., Damoulas, T., Knight, S.J., and Goetz, S.J. 2013. Shifts in Arctic vegetation and associated feedbacks under climate change. Nature Climate Change, Vol. 3(No. 7): pp. 673–677. doi:10.1038/nclimate1858.
  • Peng, S., Chen, A., Xu, L., Cao, C., Fang, J., Myneni, R.B., Pinzon, J.E., Tucker, C.J., and Piao, S. 2011. Recent change of vegetation growth trend in China. Environmental Research Letters, Vol. 6(No. 4): pp. 044027. doi:10.1088/1748-9326/6/4/044027.
  • Peng, S., Piao, S., Ciais, P., Myneni, R.B., Chen, A., Chevallier, F.d.r., Dolman, A.J., Janssens, I.A., Penuelas, J., and Zhang, G. 2013. Asymmetric effects of daytime and night-time warming on Northern Hemisphere vegetation. Nature, Vol. 501(No. 7465): pp. 88–92. doi:10.1038/nature12434.
  • Pettorelli, N., Vik, J.O., Mysterud, A., Gaillard, J.-M., Tucker, C.J., and Stenseth, N.C. 2005. Using the satellite-derived NDVI to assess ecological responses to environmental change. Trends in ecology & evolution, Vol. 20(No. 9): pp. 503–510. doi:10.1016/j.tree.2005.05.011.
  • Piao, S., Fang, J., Zhou, L., Ciais, P., and Zhu, B. 2006. Variations in satellite-derived phenology in China's temperate vegetation. Global Change Biology, Vol. 12(No. 4): pp. 672–685. doi:10.1111/j.1365-2486.2006.01123.x.
  • Piao, S., Yin, G., Tan, J., Cheng, L., Huang, M., Li, Y., Liu, R., Mao, J., Myneni, R.B., and Peng, S. 2015. Detection and attribution of vegetation greening trend in China over the last 30 years. Global Change Biology, Vol. 21(No. 4): pp. 1601–1609. doi:10.1111/gcb.12795.
  • Salazar, L.F., Nobre, C.A., and Oyama, M.D. 2007. Climate change consequences on the biome distribution in tropical South America. Geophysical Research Letters, Vol. 34(No. 9): pp. L09708. doi:10.1029/2007GL029695.
  • Schimel, D., Melillo, J., Tian, H., McGuire, A.D., Kicklighter, D., Kittel, T., Rosenbloom, N., Running, S., Thornton, P., and Ojima, D. 2000. Contribution of increasing CO2 and climate to carbon storage by ecosystems in the United States. science, Vol. 287(No. 5460): pp. 2004–2006. doi:10.1126/science.287.5460.2004.
  • Schwartz, M.D., and Reiter, B.E. 2000. Changes in North American Spring. International journal of climatology, Vol. 20(No. 8): pp. 929–932. doi:10.1002/1097-0088(20000630)20:8<929::AID-JOC557>3.0.CO;2-5.
  • Sellers, P., and Schimel, D. 1993. Remote sensing of the land biosphere and biogeochemistry in the EOS era: Science priorities, methods and implementation-EOS land biosphere and biogeochemical cycles panels. Global and Planetary Change, Vol. 7(No. 4): pp. 279–297. doi:10.1016/0921-8181(93)90002-6.
  • Sen, P.K. 1968. Estimates of the regression coefficient based on Kendall's tau. Journal of the American Statistical Association, Vol. 63(No. 324): pp. 1379–1389. doi:10.1080/01621459.1968.10480934.
  • Tang, H., Yu, K., Geng, X., Zhao, Y., Jiang, K., and Liang, S. 2013. A time series method for cloud detection applied to MODIS surface reflectance images. International Journal of Digital Earth, Vol. 6: pp. 157–171. doi:10.1080/17538947.2013.833313.
  • Tans, P.P., Fung, I.Y., and Takahashi, T. 1990. Observational contrains on the global atmospheric CO2 budget. science, Vol. 247(No. 4949): pp. 1431–1438. doi:10.1126/science.247.4949.1431.
  • Theil, H. 1950. A rank-invariant method of linear and polynomial regression analysis, Part3. Proceedings of Koninalijke Nederlandse Akademie van Weinenschatpen A, Vol. 23: pp. 1397–1412
  • Verbyla, D. 2008. The greening and browning of Alaska based on 1982-2003 satellite data. Global Ecology and Biogeography, Vol. 17(No. 4): pp. 547–555. doi:10.1111/j.1466-8238.2008.00396.x.
  • Wang, X., Piao, S., Ciais, P., Li, J., Friedlingstein, P., Koven, C., and Chen, A. 2011. Spring temperature change and its implication in the change of vegetation growth in North America from 1982 to 2006. Proceedings of the National Academy of Sciences, Vol. 108(No. 4): pp. 1240–1245. doi:10.1073/pnas.1014425108.
  • White, M.A., Hoffman, F., Hargrove, W.W., and Nemani, R.R. 2005. A global framework for monitoring phenological responses to climate change. Geophysical Research Letters, Vol. 32(No. 4): pp. L04705. doi:10.1029/2004GL021961.
  • White, M.A., Thornton, P.E., and Running, S.W. 1997. A continental phenology model for monitoring vegetation responses to interannual climatic variability. Global Biogeochemical Cycles, Vol. 11(No. 2): pp. 217–234. doi:10.1029/97GB00330.
  • Willis, K., Bennett, K.D., Burrough, S., Macias-Fauria, M., and Tovar, C. 2013. Determining the response of African biota to climate change: using the past to model the future. Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 368(No. 1625): pp. 2012.0491. doi:10.1098/rstb.2012.0491.
  • Wilson, A.M., and Jetz, W. 2016. Remotely sensed high-resolution global cloud dynamics for predicting ecosystem and biodiversity distributions. PLoS biology, Vol. 14(No. 3): pp. e1002415. doi:10.1371/journal.pbio.1002415.
  • Wu, D., Wu, H., Zhao, X., Zhou, T., Tang, B., Zhao, W., and Jia, K. 2014. Evaluation of spatiotemporal variations of global fractional vegetation cover based on GIMMS NDVI data from 1982 to 2011. Remote Sensing, Vol. 6(No. 5): pp. 4217–4239. doi:10.3390/rs6054217.
  • Wu, D., Zhao, X., Liang, S., Zhou, T., Huang, K., Tang, B., and Zhao, W. 2015. Time-Lag effects of global vegetation responses to climate change. Global Change Biology, Vol. 21(No. 9): pp. 3520–3531. doi:10.1111/gcb.12945.
  • Xiao, J., and Moody, A. 2004. Trends in vegetation activity and their climatic correlates: China 1982 to 1998. International Journal of Remote Sensing, Vol. 25(No. 24): pp. 5669–5689. doi:10.1080/01431160410001735094.
  • Xiao, Z., Liang, S., Wang, J., Chen, P., Yin, X., Zhang, L., and Song, J. 2014. Use of general regression neural networks for generating the GLASS leaf area index product from time-series MODIS surface reflectance. IEEE Transactions on Geoscience and Remote Sensing, Vol. 52(No. 1): pp. 209–223. doi:10.1109/TGRS.2013.2237780.
  • Xiao, Z., Liang, S., Wang, J., Xiang, Y., Zhao, X., and Song, J. 2016. Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. IEEE Transactions on Geoscience and Remote Sensing, Vol. 54(No. 9): pp. 5301–5318. doi:10.1109/TGRS.2016.2560522.
  • Zhang, Y., Gao, J., Liu, L., Wang, Z., Ding, M., and Yang, X. 2013. NDVI-based vegetation changes and their responses to climate change from 1982 to 2011: A case study in the Koshi River Basin in the middle Himalayas. Global and Planetary Change, Vol. 108: pp. 139–148. doi:10.1016/j.gloplacha.2013.06.012.
  • Zhao, X., Liang, S., Liu, S., Yuan, W., Xiao, Z., Liu, Q., Cheng, J., Zhang, X., Tang, H., and Zhang, X. 2013. The Global Land Surface Satellite (GLASS) remote sensing data processing system and products. Remote Sensing, Vol. 5(No. 5): pp. 2436–2450. doi:10.3390/rs5052436.
  • Zhu, Z., Piao, S., Myneni, R.B., Huang, M., Zeng, Z., Canadell, J.G., Ciais, P., Sitch, S., Friedlingstein, P., and Arneth, A. 2016. Greening of the Earth and its drivers. Nature Climate Change, Vol. 6(No. 8): pp. 791–795. doi:10.1038/nclimate3004.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.