Abstract
Phenological change and variation have become increasingly relevant topics in global change science due to recognition of their importance for ecosystem functioning and biogeophysical processes. Remote sensing time series offer great potential for assessing phenological dynamics at landscape, regional and global scales. Even though a number of studies have investigated phenology, mostly with a focus on climatic variability, we do not yet have a detailed understanding of phenological cycles and respective biogeographical patterns. This is particularly true for biomes like the tropical savannas, which cover approximately one eighth of the global land surface. Savannas are often characterized by high human population density and growth, one example being the West African Sudanian Savanna. The phenological characteristics in these regions can be assumed to be particularly influenced by agricultural land use and fires, in addition to climatic variability. This study analyses the spatio-temporal patterns of land surface phenology in a Sudanian Savanna landscape of southern Burkina Faso based on time series of the Moderate Resolution Spectroradiometer (MODIS), and on multi-temporal Landsat data. The analyses focus on influences of fire, land use, and vegetation structure on phenological patterns, and disclose the effects of long-term fire frequency, as well as the short-term effects of burning on the vegetation dynamics observed in the following growing season. Possibilities of further improvements for remote sensing based analyses of land surface phenology are seen in using earth observation datasets of increased spatial and temporal resolution as well as in linking phenological metrics from remote sensing with actual biological events observed on the ground.
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References
Archibald S, Scholes RJ (2007) Leaf green-up in a semi-arid African savanna – separating tree and grass responses to environmental cues. J Veg Sci 18:583–594
Blanken P, Black T, Yang P, Neumann H, Nesic Z, Staebler R, den Hartog G, Novak M, Lee X (1997) Energy balance and canopy conductance of a boreal aspen forest: partitioning overstory and understory components. J Geophys Res 102:28915–28927
Budde ME, Tappan G, Rowland J, Lewis J, Tieszen LL (2004) Assessing land cover performance in Senegal, West Africa using 1-km integrated NDVI and local variance analysis. J Arid Environ 59:481–498
Butt B, Turner MD, Singh A, Brottem L (2011) Use of MODIS NDVI to evaluate changing latitudinal gradients of rangeland phenology in Sudano-Sahelian West Africa. Remote Sens Environ 115:3367–3376
Chambers JM, Cleveland WS, Kleiner B, Tukey PA (1983) Graphical methods for data analysis. Wadsworth International, Duxbury Press, Boston
Churkina G, Schimel D, Braswell B, Xiao X (2005) Spatial analysis of growing season length control over net ecosystem exchange. Glob Chang Biol 11:1777–1787
De Beurs KM, Henebry GM (2004) Land surface phenology, climatic variation, and institutional change: analyzing agricultural land cover change in Kazakhstan. Remote Sens Environ 89:497–509
De Beurs KM, Henebry GM (2005) Land surface phenology and temperature variation in the International Geosphere-Biosphere Program high-latitude transects. Glob Chang Biol 11:779–790
de Bie S, Ketner P, Paasse M, Geerling C (1998) Woody plant phenology in the West Africa savanna. J Biogeogr 25:883–900
Devineau J (1999) Seasonal rhythms and phenological plasticity of savanna woody species in a fallow farming system (south-west Burkina Faso). J Trop Ecol 15:497–513
Devineau JL, Fournier A, Nignan S (2010) Savanna fire regimes assessment with MODIS fire data: their relationship to land cover and plant species distribution in western Burkina Faso (West Africa). J Arid Environ 74:1092–1101
Eklundh L, Jönsson P (2012) TIMESAT 3.1 Software manual
FAO (2013) FAOSTAT. http://faostat3.fao.org/home/index.html#HOME. Accessed 30 Nov 2013
Goldammer J, de Ronde C (2004) Wildland fire management handbook for Sub-Sahara Africa. Global Fire Monitoring Center
Gornitz V, NASA (1985) A survey of anthropogenic vegetation changes in West Africa during the last century – climatic implications. Clim Chang 7:285–325
Henebry GM, de Beurs KM (2013) Remote sensing of land surface phenology: a prospectus. In: Schwartz MD (ed) Phenology: an integrative environmental science. Springer Netherlands, Springer, Dordrecht, pp 385–411
Hennenberg KJ, Fischer F, Kouadio K, Goetze D, Orthmann B, Linsenmair KE, Jeltsch F, Porembski S (2006) Phytomass and fire occurrence along forest–savanna transects in the Comoé National Park, Ivory Coast. J Trop Ecol 22:303
Heumann BW, Seaquist JW, Eklundh L, Joensson P (2007) AVHRR derived phenological change in the Sahel and Soudan, Africa, 1982–2005. Remote Sens Environ 108:385–392
Hoffmann WA (1998) Post-burn reproduction of woody plants in a neotropical savanna: the relative importance of sexual and vegetative reproduction. J Appl Ecol 35:422–433
Huete A, Justice C, Leeuwen W van (1999) MODIS vegetation index (MOD 13) algorithm theoretical basis document. 129
Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ 83:195–213
Jönsson P, Eklundh L (2002) Seasonality extraction by function fitting to time-series of satellite sensor data. IEEE Trans Geosci Remote Sens 40:1824–1832
Jönsson P, Eklundh L (2004) TIMESAT – a program for analyzing time-series of satellite sensor data. Comput Geosci 30:833–845
Justice CO, Vermote E, Townshend JRG, Defries R, Roy DP, Hall DK, Salomonson VV, Privette JL, Riggs G, Strahler A, Lucht W, Myneni RB, Knyazikhin Y, Running SW, Nemani RR, Wan Z, Huete AR, Leeuwen WV, Wolfe RE, Giglio L, Muller J-P, Lewis P, Barnsley MJ (1998) The moderate resolution imaging spectroradiometer (MODIS): land remote sensing for global change research. IEEE Trans Geosci Remote Sens 36:1228–1249
Justice C, Giglio L, Boschetti L, Roy D, Csiszar I, Morisette J, Kaufman Y (2006) Algorithm technical background document MODIS fire products
Kerby JT, Wilmers CC, Post E (2012) Climate change, phenology and the nature of consumer – resource interactions: advancing the match/mismatch hypothesis. In: Ohgushi T, Schmitz OJ, Holt RD (eds) Trait-mediated indirect interactions: ecological and evolutionary perspectives. Cambridge University Press, Cambridge, pp 508–525
Knapp AK, Seastedt TR (2014) Detritus accumulation limits productivity of Tallgrass Prairie. Bioscience 36:662–668
Knauer K, Gessner U, Dech S, Kuenzer C (2014) Remote sensing of vegetation dynamics in West Africa. Int J Remote Sens 35:6357–6396
Lieth H (1974) Purposes of a phenology book. In: Lieth H (ed) Phenology and seasonality modeling. Springer, Berlin/Heidelberg, pp 3–19
Lo Seen Chong D, Mougin E, Gastellu-Etchegorry JP (1993) Relating the Global Vegetation Index to net primary productivity and actual evapotranspiration over Africa. Int J Remote Sens 14:1517–1546
Ma X, Huete A, Yu Q, Coupe NR, Davies K, Broich M, Ratana P, Beringer J, Hutley LB, Cleverly J, Boulain N, Eamus D (2013) Spatial patterns and temporal dynamics in savanna vegetation phenology across the North Australian Tropical Transect. Remote Sens Environ 139:97–115
RamÃrez N, Briceño H (2011) Reproductive phenology of 233 species from four herbaceous-shrubby communities in the Gran Sabana Plateau of Venezuela. AoB Plants 2011:1–17
Richardson AD, Black TA, Ciais P, Delbart N, Friedl MA, Gobron N, Hollinger DY, Kutsch WL, Longdoz B, Luyssaert S, Migliavacca M, Montagnani L, Munger JW, Moors E, Piao S, Rebmann C, Reichstein M, Saigusa N, Tomelleri E, Vargas R, Varlagin A (2010) Influence of spring and autumn phenological transitions on forest ecosystem productivity. Philos Trans R Soc Lond B Biol Sci 365:3227–3246
Richardson AD, Keenan TF, Migliavacca M, Ryu Y, Sonnentag O, Toomey M (2013) Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agric For Meteorol 169:156–173
Richter R (1996) A spatially adaptive fast atmospheric correction algorithm. Int J Remote Sens 17:1201–1214
Rosenzweig C, Casassa G, Karoly DJ, Imeson A, Liu C, Menzel A, Rawlins S, Root TL, Seguin B, Tryjanowski P (2007) Assessment of observed changes and responses in natural and managed systems. In: Parry ML, Canziani OF, Palutikof JP, van der Linden P, Hanson CE (eds) Climate change 2007: impacts, adaptation and vulnerability. Contribution of working group II to the fourth assessment report of the intergovernmental panel on climate change. Cambridge University Press, Cambridge, pp 79–131
Roy DP, Lewis PE, Justice CO (2002) Burned area mapping using multi-temporal moderate spatial resolution data – a bi-directional reflectance model-based expectation approach. Remote Sens Environ 83:263–286
Rueth N (2010) Mapping bushfire distribution and burn severity in West Africa using remote sensing observations. 117
Ryan CM (2009) Carbon cycling, fire and phenology in a tropical savanna woodland in Nhambita. University of Edinburgh, Mozambique
Ryu Y, Baldocchi DD, Ma S, Hehn T (2008) Interannual variability of evapotranspiration and energy exchange over an annual grassland in California. J Geophys Res 113:D09104
Sawadogo L, Tiveau D, Nygård R (2005) Influence of selective tree cutting, livestock and prescribed fire on herbaceous biomass in the savannah woodlands of Burkina Faso, West Africa. Agric Ecosyst Environ 105:335–345. doi:10.1016/j.agee.2004.02.004
Schneider U, Becker A, Finger P, Meyer-Christoffer A, Rudolf B, Ziese M (2011a) GPCC monitoring product: near real-time monthly land-surface precipitation from rain-gauges based on SYNOP and CLIMAT data. http://dx.doi.org/10.5676/DWD_GPCC/MP_M_V4_100
Schneider U, Becker A, Finger P, Meyer-Christoffer A, Rudolf B, Ziese M (2011b) GPCC full data reanalysis version 6.0 at 0.5°: monthly land-surface precipitation from rain-gauges built on GTS-based and historic data. 10.5676/DWD_GPCC/FD_M_V6_050
Scholes RJ, Archer SR (1997) Tree-grass interactions in savannas. Annu Rev Ecol Syst 28:517–544
The World Bank (2013) Population growth. http://data.worldbank.org/indicator/SP.POP.GROW
Wagenseil H, Samimi C (2006) Assessing spatio-temporal variations in plant phenology using Fourier analysis on NDVI time series: results from a dry savannah environment in Namibia. Int J Remote Sens 27:3455–3471
Wardell DA, Nielsen TT, Rasmussen K, Mbow C (2004) Fire history, fire regimes and fire management in West Africa: an overview. In: Goldammer J, de Ronde C (eds) Wildland fire management handbook for Sub-Sahara Africa. Global Fire Monitoring Center, pp 350–374
White F (1983) The vegetation of Africa: a descriptive memoir to accompany the UNESCO/AETFAT/UNSO vegetation map of Africa. Nat Resour Res 20:1–356
Acknowledgements
This study was funded by BMBF (German Federal Ministry of Education and Research) in the context of the project WASCAL (West African Science Service Center on Climate Change and Adapted Land Use) under FKZ 01LG1202D. We appreciate that NASA, the U.S. Geological Survey, and LP DAAC provide MODIS and Landsat data free of charge. We would also like to thank Lars Eklundh and Per Jönsson for the development and provision of TIMESAT and the anonymous reviewers for their valuable comments.
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Gessner, U., Knauer, K., Kuenzer, C., Dech, S. (2015). Land Surface Phenology in a West African Savanna: Impact of Land Use, Land Cover and Fire. In: Kuenzer, C., Dech, S., Wagner, W. (eds) Remote Sensing Time Series. Remote Sensing and Digital Image Processing, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-15967-6_10
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