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Rapid Assessment of Key Structural Elements of Different Vegetation Types of West African Savannas in Burkina Faso Cover

Rapid Assessment of Key Structural Elements of Different Vegetation Types of West African Savannas in Burkina Faso

Journal of Landscape Ecology
Volume 9 (2016): Issue 1 (January 2016)
By: Mohammad Qasim,  Stefan Porembski,  Katharina Stein and  André Lindner  
Open Access
|Jul 2016

References

  1. Altamirano, A., Aplin, P., Miranda, A., Cayuela, L., Algar, A. C., & R. Field, (2013). High rates of forest loss and turnover obscured by classical landscape measures. Applied Geography 40: 199-211.
    Search in Google Scholar
  2. Arias, D., Calvo-Alvarado, J., & A. Dohrenbusch, (2007). Calibration of LAI-2000 to estimate leaf area index (LAI) and assessment of its relationship with stand productivity in six native and introduced tree species in Costa Rica. Forest Ecology and Management 247: 185-193.
    Search in Google Scholar
  3. Biudes, M. S., Machado, N. G., de Morais Danelichen, V. H., Souza, M. C., Vourlitis, G. L., & J. de Souza Nogueira (2014). Ground and remote sensing-based measurements of leaf area index in a transitional forest and seasonal flooded forest in Brazil. International journal of biometeorology 58: 1181-1193.
    Search in Google Scholar
  4. Blozan, W. (2006). Tree measuring guidelines of the eastern native tree society. Bulletin of the Eastern Native Tree Society 1: 3-10.
    Search in Google Scholar
  5. Brümmer, C., Falk, U., Papen, H., Szarzynski, J., Wassmann, R., & N. Brüggemann, (2008). Diurnal, seasonal and interannual variation in carbon dioxide and energy exchange in shrub savanna in Burkina Faso (West Africa). Journal of Geophysical Research 113: G0203010.1029/2007JG000583
    Search in Google Scholar
  6. Chen, J. M. & T. A. Black (1992). Defining leaf area index for non-flat leaves. Plant, Cell & Environment 15: 421-429.
    Search in Google Scholar
  7. Chianucci, F. & A., Cutini (2013). Estimation of canopy properties in deciduous forests with digital hemispherical and cover photography. Agricultural and Forest Meteorology 168: 130-139.
    Search in Google Scholar
  8. Chojnacky, D. C. & Milton, M. (2008). Measuring carbon in shrubs. pp. 45-72. In: C. M. Hoover (ed.) Field measurements of forest carbon monitoring: A landscape-scale approach. Springer, Durham, USA.
    Search in Google Scholar
  9. Dekker, A. J. F. (1985). Carte de paysage de la région du Ranch de Gibier de Nazinga, Burkina Faso. Ouagadougou.
    Search in Google Scholar
  10. Dimobe, K., Wala, K., Dourma, M., Kiki, M., Woegan, Y., Folega, F., Batawila, K. & K. Akpagana, (2014). Disturbance and population structure of plant communities in the wildlife reserve of Oti-Mandouri in Togo (West Africa). Annual Research & Review in Biology 4: 2501-2516.
    Search in Google Scholar
  11. Dimobe, K., Ouedraogo, A., Soma, S., Goetze, D., Porembski, S., & A. Thiombiano, (2015). Identification of driving factors of land degradation and deforestation in the Wildlife Reserve of Bontioli (Burkina Faso, West Africa). Global Ecology and Conservation 4: 559-571.
    Search in Google Scholar
  12. FAO (2004). National Forest Inventory - Field Manual Template (4rd Edition). FAO Forestry Department. Rome
    Search in Google Scholar
  13. Fieber, K. D., Davenport, I. J., Tanase, M. A., Ferryman, J. M., Gurney, R. J., Walker, J. P. & J. M. Hacker (2014). Effective LAI and CHP of a Single Tree From Small-Footprint Full-Waveform LiDAR. IEEE Geoscience and Remote Sensing Letters 11: 1634-1638.
    Search in Google Scholar
  14. Fischer, C., Kleinn, C., Fehrmann, L., Fuchs, H. & O. Panferov (2011). A national level forest resource assessment for Burkina Faso-A field based forest inventory in a semiarid environment combining small sample size with large observation plots. Forest Ecology and Management 262: 1532-1540.
    Search in Google Scholar
  15. Gibbs, H. K., Brown, S., Niles, J. O. & J. A. Foley, (2007). Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environmental Research Letters 2: 045023.
    Search in Google Scholar
  16. Gonsamo, A. & J. M. Chen, (2014). Continuation observation of leaf area index at Fluxnet-Canada sites. Agricultural and Forest Meteorology 189-190: 168-174.
    Search in Google Scholar
  17. Grote, R., Lehmann, E., Brümmer, C., Brüggemann, N., Szarzynski, J. & H. Kunstmann, (2009). Modelling and observation of biosphere-atmosphere interactions in natural savannah in Burkina Faso, West Africa. Physics and Chemistry of the Earth, Parts A/B/C 34: 251-260.
    Search in Google Scholar
  18. Hema, E. M., Barnes, R. F. & W. Guenda, (2011). Distribution of savannah elephants (Loxodonta africana africana Blumenbach 1797) within Nazinga game ranch, Southern Burkina Faso. African Journal of Ecology 49: 141-149.
    Search in Google Scholar
  19. Holdaway, R. J., McNeill, S. J., Mason, N. W., & F. E. Carswell, (2014). Propagating uncertainty in plot-based estimates of forest carbon stock and carbon stock change. Ecosystems 17: 627-640.
    Search in Google Scholar
  20. Jenks, J. A., Klaver, R. W., & Z. W. Wicks III., (2007). Determinants of elephant distribution at Nazinga Game Ranch, Burkina Faso. Pachyderm 42: 70-80.
    Search in Google Scholar
  21. Johansson, T., (1996). Estimation of canopy density and irradiance in 20 to 40 year old Birch stands (Betula pubescens Ehrh. Betula pendula Roth). Trees 10: 223-230.
    Search in Google Scholar
  22. Jonckheere, I., Fleck, S., Nackaerts, K., Muys, B., Coppin, B., Weiss, M. & F. Baret, (2004). Review of methods for in situ leaf area index determination - Part I. Theories, sensors and hemispherical photography. Agricultural and Forest Meteorology 121: 19-35.
    Search in Google Scholar
  23. Khosravi, S., Namiranian, M., Ghazanfari, H. & A. Shirvani (2012). Estimation of leaf area index and assessment of its allometric equations in Oak forests: Northern Zagros, Iran. Journal of Forest Science 58: 116-122.
    Search in Google Scholar
  24. Kristensen, M. & H. Balslev, (2003). Perceptions, use and availability of woody plants among the Gourounsi in Burkina Faso. Biodiversity & Conservation 12: 1715-1739.
    Search in Google Scholar
  25. Ky-Dembele, C., Tigabu, M., Bayala, J. & P. C. Odén, (2014). Inter- and intra-provenances variations in seed size and seedling characteristics of Khaya senegalensis A. Juss in Burkina Faso. Agroforestry systems 88: 311-320.
    Search in Google Scholar
  26. Leblanc, S. G., Chen, J. M., Fernandes, R., Deering, D. W. & A. Conley, (2005). Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in Boreal forests. Agricultural and Forest Meteorology 129: 187-207.
    Search in Google Scholar
  27. Lindner, A. & D. Sattler, (2012). Biomass estimations in forests of different disturbance history in the Atlantic Forest of Rio de Janeiro, Brazil. New Forests 43: 287-301.
    Search in Google Scholar
  28. Lindner, A. (2011). Small structure of forest stands in the Atlantic Rainforest - Notes on understory light fluctuation. Tropical Ecology 52(2): 139-150.
    Search in Google Scholar
  29. Liu, C., Kang, S., Li, F., Li, S. & Du, T., (2013). Canopy leaf area index for apple tree using hemispherical photography in arid region. Scientia Horticulturae 164: 610-615.
    Search in Google Scholar
  30. Ministry of Environment and Sustainable Development, (2011). Forest Investment Program - Burkina Faso. Ministry of Environment and Sustainable Development, Ouagadougou.
    Search in Google Scholar
  31. Moniod, F., Pouyaud, B. & P. Sechet, (1977). Le bassin du fleuve Volta. Monographies hydrologiques. ORSTOM, Paris.
    Search in Google Scholar
  32. MSP, (2010). Meteorological Station of Pô, Burkina Faso. Direction de la Météorologie du Burkina, Ouagadougou.
    Search in Google Scholar
  33. Mustafa, Y. T., Tolpekin, V. A. & A. Stein, (2014). Improvement of Spatio-temporal Growth Estimates in Heterogeneous Forests Using Gaussian Bayesian Networks. Geoscience and Remote Sensing, IEEE Transactions 52: 4980-4991.
    Search in Google Scholar
  34. Nfon, E., Armitage, J. M. & I. T. Cousins, (2011). Development of a dynamic model for estimating the food web transfer of chemicals in small aquatic ecosystems. Science of the Total Environment 409: 5416-5422.
    Search in Google Scholar
  35. Olivas, P. C., Oberbauer, S. F., Clark, D. B., Clark, D. A., Ryan, M. G., O’Brien, J. J. & H. Ordonez, (2013). Comparison of direct and indirect methods for assessing leaf area index across a tropical rain forest landscape. Agricultural and Forest Meteorology 177: 110-116.
    Search in Google Scholar
  36. Oliveira, A. P. D., Schiavini, I., Vale, V. S. D., Lopes, S. D. F., Arantes, C. D. S., Gusson, A. E., Júnior, J. A. P. & O. C. Dias-Neto, (2014). Mortality, recruitment and growth of the trees communities in three forest formations at the Panga Ecological Station over ten years (1997-2007). Acta Botanica Brasilica 28: 234-248.
    Search in Google Scholar
  37. Pfeifer, M., Lefebvre, V., Gonsamo, A., Pellikka, P. K., Marchant, R., Denu, D. & P. J. Platts, (2014). Validating and Linking the GIMMS Leaf Area Index (LAI3g) with Environmental Controls in Tropical Africa. Remote Sensing 6: 1973-1990.
    Search in Google Scholar
  38. Pompelli, M. F., Antunes, W. C., Ferreira, D. T. R. G., Cavalcante, P. G. S., Wanderley-Filho, H. C. L. & L. Endres, (2012). Allometric models for non-destructive leaf area index estimation of Jatropha curcas. Biomass and bioenergy 36: 77-85.
    Search in Google Scholar
  39. R Core Team, (2014). A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna.
    Search in Google Scholar
  40. Regent Instruments Inc., (2005). WinScanopy 2005ab for hemispherical image analyses. Retrieved August 6, 2015, from http//www.regentinstruments.com.
    Search in Google Scholar
  41. Ryu, Y., Sonnentag, O., Nilson, T., Vargas, R., Kobayashi, H., Wenk, R. & D. D. Baldocchi, (2010). How to quantify tree leaf area index in an open savanna ecosystem: a multi-instrument and multi-model approach. Agricultural and Forest Meteorology 150: 63-76.
    Search in Google Scholar
  42. Scholes, R. J., Frost, P. G. & Y. Tian, (2004). Canopy structure in savannas along a moisture gradient on Kalahari sands. Global Change Biology 10: 292-302.
    Search in Google Scholar
  43. Tia, L., (2007). Modelling of vegetation dynamics and its contribution to the water balance of in semi-arid lands of West Africa. ZEF, Bonn.
    Search in Google Scholar
  44. Unger, M., Homeier, J. & C. Leuschner, (2013). Relationship among leaf area index, below canopy light availability and tree diversity along a transect from tropical lowland to montane forests in NE Ecuador. Tropical Ecology 54(1): 33-45.
    Search in Google Scholar
  45. Vermeulen, C., Lejeune, P., Bouché, P., Marchal, A., Ouédraogo, M., Sawadogo, P., Yaméogo, D.-D. & F. Yanogo, (2012). Status of medium-sized ungulate populations in 2010, at the Nazinga Game Ranch, Burkina Faso (West Africa). Biotechnological, Agronomy, Society and Environment 16: 307-315.
    Search in Google Scholar
  46. Von Buschfeuern, S. K. D. V., (2010). Mapping Bushfire Distribution and Burn Severity in West Africa Using Remote Sensing Observations. PhD Thesis. University of Würzburg, Würzburg.
    Search in Google Scholar
  47. Vyas, D., Mehta, N., Dinakaran, J. & N. S. R. Krishnayya, (2010). Allometric equations for estimating leaf area index (LAI) of two important tropical species (Tectona grandis and Dendrocalamus stricta). Journal of Forestry Research 21: 197-200.
    Search in Google Scholar
  48. Wagner, S., Kunstmann, H., Bárdossy, A., Conrad, C. & R. R. Colditz, (2009). Water balance estimation of a poorly gauged catchment in West Africa using dynamically downscaled meteorological fields and remote sensing information. Physics and Chemistry of the Earth, Parts A/B/C 34: 225-235.
    Search in Google Scholar
  49. Weiss, M., Baret, F., Smith, G. J., Jonckheere, I. & P. Coppin, (2004). Review of methods for in situ leaf area index determination. Part II. Estimation of LAI, errors and sampling. Agricultural and Forest Meteorology 121: 37-53.
    Search in Google Scholar
  50. Welles, J. M. & J. M. Norman, (1991). Instrument for indirect measurement of canopy architecture. Agronomy Journal 83: 818-825.
    Search in Google Scholar
  51. Zhao, D., Lv, M., Wang, P., Yang, T. & S. An, (2014). Can the plant area index of a submerged vegetation canopy be estimated using digital hemispherical photography? Agricultural and Forest Meteorology 192: 69-77. 10.1016/j.agrformet.2014.03.008
    Search in Google Scholar
DOI: https://doi.org/10.1515/jlecol-2016-0003 | Journal eISSN: 1805-4196 | Journal ISSN: 1803-2427
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Language: English
Page range: 36 - 48
Submitted on: Jan 6, 2016
|
Accepted on: Apr 26, 2016
|
Published on: Jul 6, 2016
Published by: Czech Society for Landscape Ecology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
leaf area index,
crown diameter,
savanna vegetation,
hemispherical photography
Related subjects:
Geosciences,
Geosciences, other,
Life sciences,
Ecology

© 2016 Mohammad Qasim, Stefan Porembski, Katharina Stein, André Lindner, published by Czech Society for Landscape Ecology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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