Linking vegetation response to seasonal precipitation in the Okavango-Kwando-Zambezi catchment of southern Africa

International Journal of Remote Sensing

Volumn 33, Issue 21, 2012, Pages 6783-6804

  Gaughan, Andrea E ^a   Stevens, Forrest R ^b   Gibbes, Cerian ^c   Southworth, Jane ^b   Binford, Michael W ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b UNIVERSITY OF FLORIDA   (United States)

^c UNIVERSITY OF COLORADO   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANIMALS; CATCHMENTS; CLIMATE CHANGE; DIGITAL STORAGE; DROUGHT; ECOSYSTEMS; RADIOMETERS; RAIN; RUNOFF; SATELLITE IMAGERY;

ANNUAL PRECIPITATION; GEOGRAPHICALLY WEIGHTED REGRESSION; MODERATE RESOLUTION IMAGING SPECTRORADIOMETER; NORMALIZED DIFFERENCE VEGETATION INDEX; SEASONAL PRECIPITATIONS; VEGETATION GREENNESS; VEGETATION STRUCTURE; WATER STORAGE CAPACITY;

VEGETATION;

CLIMATE EFFECT; DECIDUOUS FOREST; EVERGREEN FOREST; FIRE; FORAGE; FOREST CANOPY; GRASSLAND; MODIS; NDVI; PHENOLOGY; PRECIPITATION (CLIMATOLOGY); RAINFALL; REMOTE SENSING; SAVANNA; SEMIARID REGION; TRMM; VEGETATION DYNAMICS; VEGETATION STRUCTURE; WATER AVAILABILITY; WATER STORAGE;

NAMIBIA; OKAVANGO;

EID: 84863591286     PISSN: 01431161     EISSN: 13665901     Source Type: Journal    
DOI: 10.1080/01431161.2012.692831     Document Type: Article

References (69)

1. Adeyewa, Z.D. and Nakamura, K. 2003. Validation of TRMM radar rainfall data over major climatic regions in Africa. Journal of Applied Meteorology, 42: 331-347.
2. Archibald, S. and Scholes, R.J. 2007. Leaf green-up in a semi-arid African savanna-separating tree and grass responses to environmental cues. Journal of Vegetation Science, 18: 583-594.
3. Azzali, S. and Menenti, M. 2000. Mapping vegetation-soil-climate complexes in southern Africa using temporal Fourier analysis of NOAA-AVHRR NDVI data. International Journal of Remote Sensing, 21: 973-996.
4. Barnes, J.I., Macgregor, J. and Weaver, L.C. 2002. Economic efficiency and incentives for change within Namibia's community wildlife use initiatives. World Development, 30: 667-681.
5. Batjes, N.H. 2000. Global Soil Profile Data (ISRIC-WISE) [Global Soil Profile Data (International Soil Reference and Information Centre-World Inventory of Soil Emission Potentials)], Oak Ridge, TN: Oak Ridge National Laboratory.
6. Breshears, D.D. and Barnes, F.J. 1999. Interrelationships between plant functional types and soil moisture heterogeneity for semiarid landscapes within the grassland/forest continuum: a unified conceptual model. Landscape Ecology, 14: 465-478.
7. Brunsdon, C., Fotheringham, S. and Charlton, M. 1998. Geographically weighted regression-modelling spatial non-stationarity. Journal of the Royal Statistical Society Series D-the Statistician, 47: 431-443.
8. Chamaille-Jammes, S., Fritz, H. and Murindagomo, F. 2006. Spatial patterns of the NDVI-rainfall relationship at the seasonal and interannual time scales in an African savanna. International Journal of Remote Sensing, 27: 5185-5200.
9. Chapin, F.S., Matson, P.A. and Mooney, H.A. 2002. Principles of Terrestial Ecosystem Ecology, New York: Springer.
10. Do, F.C., Goudiaby, V.A., Gimenez, O., Diagne, A.L., Diouf, M., Rocheteau, A. and Akpo, L.E. 2005. Environmental influence on canopy phenology in the dry tropics. Forest Ecology and Management, 215: 319-328.
11. Dube, O.P. and Pickup, G. 2001. Effects of rainfall variability and communal and semi-commercial grazing on land cover in southern African rangelands. Climate Research, 17: 195-208.
12. ESRI. 2008. ArcMap 9.3, Redlands, CA: ESRI.
13. Farrar, T.J., Nicholson, S.E. and Lare, A.R. 1994. The influence of soil type on the relationships between NDVI, rainfall, and soil-moisture in semiarid Botswana. 2. NDVI response to soil-moisture. Remote Sensing of Environment, 50: 121-133.
14. Foody, G.M. 2003. Geographical weighting as a further refinement to regression modeling: an example of focused on the NDVI-rainfall relationship. Remote Sensing of Environment, 88: 283-293.
15. Fotheringham, A.S., Brunsdon, C. and Charlton, M.E. 2000. Quantitative Geography, London: Sage.
16. Fotheringham, A.S., Brundsdon, C. and Charlton, M. 2002. Geographically Weighted Regression. The Analysis of Spatially Varying Relationships, Chichester: Wiley.
17. Fuller, D.O. 1999. Canopy phenology of some mopane and miombo woodlands in eastern Zambia. Global Ecology and Biogeography, 8: 199-209.
18. Fuller, D.O. and Prince, S.D. 1996. Rainfall and foliar dynamics in tropical southern Africa: potential impacts of global climatic change on savanna vegetation. Climatic Change, 33: 69-96.
19. Goward, S.M. and Prince, S.D. 1995. Transient effects of climate on vegetation dynamics: satellite observations. Journal of Biogeography, 22: 549-563.
20. Harris, P., Fotheringham, A.S., Crespo, R. and Charlton, M. 2010. The use of geographically weighted regression for spatial prediction: an evaluation of models using simulated data sets. Mathematical Geosciences, 42: 657-680.
21. Hellden, U. and Tottrup, C. 2008. Regional desertification: a global synthesis. Global and Planetary Change, 64: 169-176.
22. House, J.I., Archer, S., Breshears, D.D. and Scholes, R.J. 2003. Conundrums in mixed woody-herbaceous plant systems. Journal of Biogeography, 30: 1763-1777.
23. Huffman, G.J., Adler, R.F., Arkin, P., Chang, A., Ferraro, R., Gruber, A., Janowlak, J., Mcnab, A., Rudolf, B. and Schneider, U. 1997. The global precipitation climatology project (GPCP) combined precipitation dataset. Bulletin of the American Meteorological Society, 78: 5-20.
24. Huxman, T.E., Smith, M.D., Fay, P.A., Knapp, A.K., Shaw, M.R., Loik, M.E., Smith, S.D., Tissue, D.T., Zak, J.C., Weltzin, J.F., Pockman, W.T., Sala, O.E., Haddad, B.M., Harte, J., Koch, G.W., Schwinning, S., Small, E.E. and Williams, D.G. 2004. Convergence across biomes to a common rain-use efficiency. Nature, 429: 651-654.
25. IPCC. 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, Geneva: IPCC.
26. ITT Visual Information Solutions. 2007. "ENVI 4.4 and IDL 6.4.1". In Products and Services, Boulder, CO: ITT Visual Information Solutions.
27. Kampstra, P. 2008. Beanplot: a boxplot alternative for visual comparison of distributions. Journal of Statistical Software, 28: 1-9.
28. Kummerow, C., Simpson, J., Thiele, O., Barnes, W., Chang, A.T.C., Stocker, E., Adler, R.F., Hou, A., Kakar, R., Wentz, F., Ashcroft, P., Kozu, T., Hong, Y., Okamoto, K., Iguchi, T., Kuroiwa, H., Im, E., Haddad, Z., Huffman, G., Ferrier, B., Olson, W.S., Zipser, E., Smith, E.A., Wilheit, T.T., North, G., Krishnamurti, T. and Nakamura, K. 2000. The status of the tropical rainfall measuring mission (TRMM) after two years in orbit. Journal of Applied Meteorology, 39: 1965-1982.
29. Leeuwen, W.J.D., Huete, A.R. and Laing, T.W. 1999. MODIS vegetation index compositing approach: a prototype with AVHRR data. Remote Sensing of Environment, 69: 264-280.
30. Lehner, B., Verdin, K. and Jarvis, A. 2006. HydroSHEDS Technical Documentation, Washington, DC: World Wildlife Fund.
31. Lichstein, J.W., Simons, T.R., Shriner, S.A. and Franzreb, K.E. 2002. Spatial autocorrelation and autoregressive models in ecology. Ecological Monographs, 72: 445-463.
32. Maidment, D.R. 2002. Arc Hydro GIS for Water Resources, 203Redlands, CA: ESRI Press.
33. Martiny, N., Camberlin, P., Richard, Y. and Philippon, N. 2006. Compared regimes of NDVI and rainfall in semi-arid regions of Africa. International Journal of Remote Sensing, 27: 5201-5223.
34. Martiny, N., Richard, Y. and Camberlin, P. 2005. Interannual persistence effects in vegetation dynamics of semi-arid Africa. Geophysical Research Letters, 32: 1-54.
35. McCarthy, T.S., Cooper, G.R.J., Tyson, P.D. and Ellery, W.N. 2000. Seasonal flooding in the Okavango Delta, Botswana-recent history and future prospects. South African Journal of Science, 96: 25-33.
36. Merbold, L., Ardo, J., Arneth, A., Scholes, R.J., Nouvellon, Y., De Grandcourt, A., Archibald, S., Bonnefond, J.M., Boulain, N., Brueggemann, N., Bruemmer, C., Cappelaere, B., Ceschia, E., El-Khidir, H.A.M., El-Tahir, B.A., Falk, U., Lloyd, J., Kergoat, L., Le Dantec, V., Mougin, E., Muchinda, M., Mukelabai, M.M., Ramier, D., Roupsard, O., Timouk, F., Veenendaal, E.M. and Kutsch, W.L. 2009. Precipitation as driver of carbon fluxes in 11 African ecosystems. Biogeosciences, 6: 1027-1041.
37. Nair, S., Srinivasan, G. and Nemani, R. 2009. Evaluation of multi-satellite TRMM derived rainfall estimates over a western state of India. Journal of the Meteorological Society of Japan, 87: 927-939.
38. 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, 300: 1560-1563.
39. Nicholson, S.E., Davenport, M.L. and Malo, A.R. 1990. A comparison of the vegetation response to rainfall in the Sahel and East-Africa, using normalized difference vegetation index from NOAA AVHRR. Climatic Change, 17: 209-241.
40. Nicholson, S.E. and Farrar, T.J. 1994. The influence of soil type on the relationships between NDVI, rainfall, and soil-moisture in semiarid Botswana.1. NDVI response to rainfall. Remote Sensing of Environment, 50: 107-120.
41. Nicholson, S.E., Some, B., Mccollum, J., Nelkin, E., Klotter, D., Berte, Y., Diallo, B.M., Gaye, I., Kpabeba, G., Ndiaye, O., Noukpozounkou, J.N., Tanu, M.M., Thiam, A., Toure, A.A. and Traore, A.K. 2003. Validation of TRMM and other rainfall estimates with a high-density gauge dataset for West Africa. Part I: validation of GPCC rainfall product and pre-TRMM satellite and blended products. Journal of Applied Meteorology, 42: 1337-1354.
42. Plummer, S.E. 2000. Perspectives on combining ecological process models and remotely sensed data. Ecological Modelling, 129: 169-186.
43. Prince, S.D., Goetz, S.J. and Goward, S.N. 1995. Monitoring primary production from earth observing satellites. Water Air and Soil Pollution, 82: 509-522.
44. Propastin, P., Kappas, M. and Erasmi, S. 2008. Application of geographically weighted regression to investigate the impact of scale on prediction uncertainty by modeling relationship between vegetation and climate. International Journal of Spatial Data Infrastructures Research, 3: 73-94.
45. R Development Core Team. 2009. R: A Language and Environment for Statistical Computing, Vienna: R Development Core Team, R Foundation for Statistical Computing.
46. Reynolds, J.F., Stafford Smith, D.M., Lambin, E.F., Turner, B.L., Mortimore, M., Batterbury, S.P.J., Downing, T.E., Dowlatabadi, H., Fernandez, R.J., Herrick, J.E., Huber-Sannwald, E., Jiang, H., Leemans, R., Lynam, T., Maestre, F.T., Ayarza, M. and Walker, B. 2007. Global desertification: building a science for dryland development. Science, 316: 847-851.
47. Richard, Y., Martiny, N., Fauchereau, N., Reason, C., Rouault, M., Vigaud, N. and Tracol, Y. 2008. Interannual memory effects for spring NDVI in semi-arid South Africa. Geophysical Research Letters, 35: L13704 doi:10.1029/2008GL034119
48. Richard, Y. and Poccard, I. 1998. A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa. International Journal of Remote Sensing, 19: 2907-2920.
49. Rodriguez-Iturbe, I. 2000. Ecohydrology: a hydrologic perspective of climate-soil-vegetation dynamics. Water Resources Research, 36: 3-9.
50. Rutherford, M.C., O'farrel, P., Goldberg, K.B., Midgley, G.F., Powrie, L.W., Ringrose, S., Mattheson, W. and Timberlake, J. 2005. SAFARI 2000 NBI Vegetation Map of the Savannas of Southern Africa, Oak Ridge, TN: Oak Ridge National Laboratory Distributed Active Archive Center.
51. Sankaran, M., Hanan, N.P., Scholes, R.J., Ratnam, J., Augustine, D.J., Cade, B.S., Gignoux, J., Higgins, S.I., Le Roux, X., Ludwig, F., Ardo, J., Banyikwa, F., Bronn, A., Bucini, G., Caylor, K.K., Coughenour, M.B., Diouf, A., Ekaya, W., Feral, C.J., February, E.C., Frost, P.G.H., Hiernaux, P., Hrabar, H., Metzger, K.L., Prins, H.H.T., Ringrose, S., Sea, W., Tews, J., Worden, J. and Zambatis, N. 2005. Determinants of woody cover in African savannas. Nature, 438: 846-849.
52. Sankaran, M., Ratnam, J. and Hanan, N. 2008. Woody cover in African savannas: the role of resources, fire and herbivory. Global Ecology and Biogeography, 17: 236-245.
53. Scanlon, T.M., Albertson, J.D., Caylor, K.K. and Williams, C.A. 2002. Determining land surface fractional cover from NDVI and rainfall time series for a savanna ecosystem. Remote Sensing of Environment, 82: 376-388.
54. Scanlon, T.M., Caylor, K.K., Manfreda, S., Levin, S.A. and Rodriguez-Iturbe, I. 2005. Dynamic response of grass cover to rainfall variability: implications for the function and persistence of savanna ecosystems. Advances in Water Resources, 28: 291-302.
55. Scholes, R.J. and Archer, S.R. 1997. Tree-grass interactions in savannas. Annual Review of Ecology and Systematics, 28: 517-544.
56. Scholes, R.J. and Walker, B.H. 1993. An African Savanna. Synthesis of the Nylsvley Study, Cambridge: Cambridge University Press.
57. Schwinning, S., Sala, O.E., Loik, M.E. and Ehleringer, J.R. 2004. Thresholds, memory, and seasonality: understanding pulse dynamics in arid/semi-arid ecosystems. Oecologia, 141: 191-193.
58. Shackleton, C.M. 1999. Rainfall and topo-edaphic influences on woody community phenology in South African savannas. Global Ecology and Biogeography, 8: 125-136.
59. Sher, A.A., Goldberg, D.E. and Novoplansky, A. 2004. The effect of mean and variance in resource supply on survival of annuals from mediterranean and desert environments. Oecologia, 141: 353-362.
60. Sims, D.A., Luo, H.Y., Hastings, S., Oechel, W.C., Rahman, A.F. and Gamon, J.A. 2006. Parallel adjustments in vegetation greenness and ecosystem CO2 exchange in response to drought in a Southern California chaparral ecosystem. Remote Sensing of Environment, 103: 289-303.
61. Sims, D.A., Rahman, A.F., Cordova, V.D., El-Masri, B.Z., Baldocchi, D.D., Bolstad, P.V., Flanagan, L.B., Goldstein, A.H., Hollinger, D.Y., Misson, L., Monson, R.K., Oechel, W.C., Schmid, H.P., Wofsy, S.C. and Xu, L. 2008. A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS. Remote Sensing of Environment, 112: 1633-1646.
62. Sjostrom, M., Ardo, J., Eklundh, L., El-Tahir, B.A., El-Khidir, H.A.M., Hellstrom, M., Pilesjo, P. and Seaquist, J. 2009. Evaluation of satellite based indices for gross primary production estimates in a sparse savanna in the Sudan. Biogeosciences, 6: 129-138.
63. Skarpe, C. 1992. Dynamics of savanna ecosystems. Journal of Vegetation Science, 3: 293-300.
64. Tucker, C.J. 1979. Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 8: 127-150.
65. Tucker, C.J. and Sellers, P.J. 1986. Satellite remote-sensing of primary production. International Journal of Remote Sensing, 7: 1395-1416.
66. Wang, G.L. 2003. Reassessing the impact of North Atlantic oscillation on the sub-Saharan vegetation productivity. Global Change Biology, 9: 493-499.
67. Wheeler, D. and Tiefelsdorf, M. 2005. Multicollinearity and correlation among local regression coefficients in geographically weighted regression. Journal of Geographic Systems, 7: 161-187.
68. Williams, C.A., Hanan, N., Scholes, R.J. and Kutsch, W. 2009. Complexity in water and carbon dioxide fluxes following rain pulses in an African savanna. Oecologia, 161: 469-480.
69. Zhang, X., Friedl, M.A., Schaaf, C.B. and Strahler, A.H. 2005. Monitoring the response of vegetation phenology to precipitation in Africa by coupling MODIS and TRMM instruments. Journal of Geophysical Research, 110: D12103 doi:10.1029/2004JD005263