Estimation of vegetation cover resilience from satellite time series

Hydrology and Earth System Sciences

Volumn 12, Issue 4, 2008, Pages 1053-1064

  Simoniello, T ^a,b   Lanfredi, M ^a,b   Liberti, M ^a,c   Coppola, R ^a,c   MacChiato, M ^b,d  

^a CNR Consiglio Nazionale delle Ricerche   (Italy)

^b CNISM ^*  (Italy)

^c UNIVERSITY OF BASILICATA   (Italy)

^d UNIVERSITY OF NAPLES FEDERICO II   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AVHRR; CLIMATE FORCING; ENVIRONMENTAL DISTURBANCE; ESTIMATION METHOD; NDVI; PERSISTENCE; PROBABILITY; RESILIENCE; TIME SERIES; VEGETATION COVER;

EID: 49049087305     PISSN: 10275606     EISSN: 16077938     Source Type: Journal    
DOI: 10.5194/hess-12-1053-2008     Document Type: Article

References (40)

1. Ambrosi, P., Bertolini, F., George, E., Minerbi, S., and Salvadori, C.: Integrated Monitoring in Alpine Forest Ecosystem in Trentino and south Tyrol, Italy, Chemosphere, 36(4-5), 1043-1048, 1998.
2. APAT: La vulnerabilità alla desertificazione in Italia: raccolta, analisi, confronto e verifica delle procedure cartografiche di mappatura degli indicatori a scala nazionale e locale, APAT, CRAUCEA, Manuali e linee guida, ISBN 88-448-02010-4, 2006.
3. Arora, V.: Modeling vegetation as a dynamic component in soil vegetation-atmosphere transfer schemes and hydrological models, Rev. Geophys., 40(2), 1006, doi:10.1029/2001RG000103, 2002.
4. Arora, V. and Boer, G. J.: A parameterization of leaf phenology for the terrestrial ecosystem component of climate models, Global Change Biol., 11, 39-59, 2005.
5. Asrar, G., Fuchs, M., Kanemasu, E. T., and Hatfield, J. L.: Estimation absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat, Agron. J., 76, 300-306, 1984.
6. Balestrini, R., Tagliaferri, A., Tartari, G., and Di Girolamo, F.: Forest condition and chemical characteristics of atmospheric depositions: research and monitoring network in Lombardy, in: Long-term ecological research in Italian forest ecosystems, edited by: Mosello, R., Petriccione B., and Marchetto, A., J. Limnol., 61 (Suppl. 1), 117-128, 2002.
7. Bonfiglio, A., Cuomo, V., Lanfredi, M., and Macchiato, M.: Interfacing NOAA/AVHRR NDVI and soil truth maps for monitoring vegetation phenology at a local scale in a heterogeneous landscape of Southern Italy, Int. J. Remote Sens., 23(20), 4181-4195, 2002.
8. Brovkin, V., Claussen, M., Petoukhov, V., and Ganopolski, A.: On the stability of the atmosphere - vegetation system in Sahara/Sahel region, J. Geophys. Res., 103(D24), 31613-31624, 1998.
9. Bussotti, F., Cozzi, A., Ferretti, M., Cenni, E., Bettini, D., and Nibbi R.: Crown condition assessment at the CONECOFOR Permanent Monitoring Plots, in: Long-term ecological research in Italian forest ecosystems, edited by: Mosello, R., Petriccione, B., and Marchetto, A., J. Limnol., 61 (Suppl. 1), 12-18, 2002.
10. Donohue, R. J., Roderick, M. L., and McVicar, T. R.: On the importance of including vegetation dynamics, in Budyko's hydrological model, Hydrol. Earth Syst. Sci., 11, 983-995, 2007, http://www.hydrol-earth-syst-sci.net/11/983/2007/ .
11. Feddema, J. J., Oleson, K. W., Bonan, G. B., Mearns, L. O., Buja, L. E., Meehl, G. A., and Washington, W. M.: The Importance of Land-Cover Change in Simulating Future Climates, Science, 9, 310(5754), 1674-1678, doi:10.1126/science.1118160, 2005.
12. Fitzjarrald, D. R., Acevedo, O. C., and Moore, K. E.: Climatic consequences of leaf presence in the eastern United States, J. Climate, 14, 598-614, 2001.
13. Gamon, J. A., Field, C. B., Goulden, M. L., Griffin, K. L., Hartley, A. E., Joel, G., Panuelas, J., and Valentini, R.: Relationships between NDVI, canopy structure, and photosynthesis, in Three Californian vegetation types, Ecol. Appl., 5, 28-41, 1995.
14. Heumann, B. W., Seaquist, J. W., Eklundh, L., and Jönsson, P.: AVHRR derived phenological change in the Sahel and Soudan Africa, 1982-2005, Remote Sens. Environ., 108(4), 385-392, 2007.
15. Holben, B. N.: Characteristic of maximum value composite images from temporal AVHRR data, Int. J. Remote Sens., 17(6), 1093-1105, 1986.
16. Lanfredi, M., Simoniello, T., and Macchiato, M.: Temporal persistence in vegetation cover changes observed from satellite: Development of an estimation procedure in the test site of the Mediterranean Italy, Remote Sens. Environ., 93, 565-576, 2004.
17. Maselli, F., Chiesi, M., and Bindi, M.: Multi-year simulation of Mediterranean forest transpiration by the integration of NOAA-AVHRR and ancillary data, Int. J. Remote Sens., 25(19), 3929-3941, 2004.
18. Montaldo, N., Rondena, R., Albertson, J. D., and Mancini, M.: Parsimonious modeling of vegetation dynamics for ecohydro-logic studies of water-limited ecosystems, Water Resour. Res., 41, W10416, doi:10.1029/ 2005WR004094, 2005.
19. Newman, T. J. and Toroczkai, Z.: Diffusive persistence and the "sign-time" distribution, Phys. Rev. E, 58, R2685, doi:10.1103/PhysRevE.58.R2685, 1998.
20. Myneni, R. B., Keeling, C. D., Tucker, C. J., Asrar, G., and Nemani, R. R.: Increased plant growth in the northern high latitudes from 1981 to 1991, Nature, 386(6626), 698-702, 1997.
21. Odum, E. P.: Basic ecology, Philadelphia: CBS College Pubblishing, 544 pp., 1983.
22. Olofsson, P., Eklundh, L., Lagergren, F., Jönsson, P., and Lindroth, A.: Estimating net primary production for Scandinavian forests using data from Terra/MODIS, Adv. Space Res., 39, 125-130, 2007.
23. Petriccione, B.: L'impatto dei cambiamenti climatici sulla funzionalità e la biodiversità degli ecosistemi forestali: processi in atto, scenari futuri e strategie di monitoraggio, in: Proceedings of CN2007 (National conference on climate change), Roma 12-13 September 2007, in press, 2008.
24. Pettorelli, N., Vik, J. O., Mysterud, A., Gaillard, J.-M., Tucker, C. J., and Stenseth, N. C.: Using the satellite-derived NDVI to assess ecological responses to environmental change, Trends Ecol. Evol., 20(9), 503-510, 2005.
25. Pielke, R. A., Avissar, R., Raupach, M., Dolman, A. J., Zeng, X., and Denning, A. S.: Interactions between the atmosphere and terrestrial ecosystems: influence on weather and climate, Global Change Biol., 4, 461-475, 1998.
26. Pielke, R. A., Marland, G., Betts, R. A., Chase, N., Eastman, J. L., Niles J. O., Niyogi, D. S., and Running, S. W.: The influence of land-use change and landscape dynamics on the climate system: relevance to climate-change policy beyond the radiative effect of greenhouse gases, Philos. T. R. Soc. A., 360, 1705-1719, 2002.
27. Prince, S. D.: A model of regional primary production for use with coarse resolution satellite data, Int. J. Remote Sens., 12, 1313-1330, 1991.
28. Redner, S.: A guide to first passage processes, Cambridge, UK Cambridge University Press, ISBN 0-521-65248-0, 307 pp., 2001.
29. Richards, J. A. and Jia, X.: Remote Sensing Digital Image Analysis: An introduction, Fourth Edition, Springer, 439 pp., 2006.
30. Sellers, P. J.: Canopy reflectance, photosynthesis, and transpiration, Int. J. Remote Sens., 8, 1335-1372, 1985.
31. Sellers, P., Hall, F., Margolis, H., Kelly, B., Baldocchi, D., den Hartog, G., Cihlar, J., Ryan, M. G., Goodison, B., Crill, P., Ranson, K. J., Lettenmaier, D., and Wickland, D. E.: The boreal ecosystem-atmosphere study (BOREAS): an overview and early results from the 1994 field year, B. Am. Meteorol. Soc., 76(9), 1549-1577, 1995.
32. Simoniello, T., Carone, T., Lanfredi, M., Macchiato, M., and Cuomo, V.: Landscape-scale characterization of vegetation phenology using AVHRR-NDVI and Landsat-TM data, in: Remote Sensing for Agriculture, Ecosystems, and Hydrology V, edited by: Owe, M., D'Urso, G., Moreno, J. F., Calera, A., Proc. SPIE Vol. 5232, 644-651, 2004.
33. Studer, S., Stöckli, R., Appenzeller, C., and Vidale, P. L: A comparative study of satellite and ground-based phenology, Int. J. Biometeorol., 51, 405-414, doi:10.1007/s00484-006-0080-5, 2007.
34. Tucker, C. J.: Red and photographic infrared linear combinations for monitoring vegetation, Remote Sens. Environ., 8, 127-150, 1979.
35. Tucker, C. J., Pinzon, J. E., Brown, M. E., Slayback, A., Pak, E. W., Mahoney, R., Vermote, E. F., and El Saleous, N.: An Extended AVHRR 8-km NDVI Data Set Compatible with MODIS and SPOT Vegetation NDVI Data, Int. J. Remote Sens., 26(20), 4485-4498, 2005.
36. Wang, A., Price, D. T., and Arora, V.: Estimating changes in global vegetation cover (1850-2100) for use in climate models, Global Biol. Cy., 20, GB3028, doi:10.1029/2005GB002514, 2006.
37. Wang, Q., Tenhunen, J., Dinh, N. Q., Reichsteina, M., Vesalab, T., and Keronenb, P.: Similarities in ground-and satellite-based NDVI time series and their relationship to physiological activity of a Scots pine forest in Finland, Remote Sens. Environ., 93, 225-237, 2004.
38. Zavaleta, E. S., Thomas, B. D., Chiariello N. R., Asner G. P., Shaw, M. R., and Field, C. B.: Plants reverse warming effect on ecosystem water balance, PNAS, 100(17), 9892-9893, 2003.
39. Zeng, N., Hales, K., and Neelin, J. D.: Nonlinear dynamics in a coupled vegetation-atmosphere system and implications for desert-forest gradient, J. Climate, 15, 3474-3487, 2002.
40. Zhou, M. C., Ishidaira, H., Hapuarachchi, H. P., Magome, J., Kiem, A. S., and Takeuchi, K.: Estimating potential evapotranspiration using Shuttleworth-Wallace model and NOAA-AVHRR NDVI data to feed a distributed hydrological model over the Mekong River basin, J. Hydrol., 327, 151-173, 2006.