Toward a synthetic biomass evaluation method in reforestations of semi-arid zones. Limits and outlooks for algometric models at Keita, Niger

Giacomo Nicolini, Vieri Tarchiani, Andrea Di Vecchia, Fabio Salbitano

Abstract


Toward a synthetic biomass evaluation method in reforestations of semi-arid zones. Limits and outlooks for algometric models at Keita, Niger. In the Sahel there have been important interventions of reforestations because of the progressive degradation of the forest resources due to the anthropic pressure and global warming in the last 30 years. Estimating biomass in forest stands is therefore essential for evaluating their efficacy. In this work an approach is proposed for current biomass estimations. Some allometric models were developed and analyzed in Acacia plantations in the Keita valley in Niger, and the effectiveness of using a generalized model for dominant species – Acacia seyal Del., A. raddiana Savi (syn. A. tortilis Hayne), A. nilotica (Guill. Et Perrott.) – is evaluated. Equations were built by taking the diameter at 0.80 m and the total height as independent variables. The regression analysis was made according to the ordinary least squares method on log-transformed observations because of the eteroschedasticity of stereometric relations. In addition, a comparison between models with or without species distinction is done in order to quantify the loss of precision. Each model shows a good estimative performance (R2>0.98, P<0.001). Nonparametric tests confirm that the three acacia species belong to the same statistical population. Therefore, in the specific condition of this region, the use of a multi-species model is possible without an excessive loss in precision. Results obtained in this work represent an important contribution to biomass estimations in semi-arid environments in terms of technical reproducibility and economic sustainability.

Keywords


Sahel; Acacia; reforestation; arid environments; stereometric functions

References


ABBOT P., LOWORE J., WERREN M., 1997 – Models for estimation of single tree volume in four Miombo woodland types. Forest Ecology and Management, 97:

-37; doi:10.1016/S0378-1127(97)00036-4

ABRAMO E., BARILOTTI A., SEPIC F., 2007 – Dalla dendrometria diametrica alla dendrometria ipsometrica: stima del volume degli alberi da rilievi laser-scanning. Forest@, 4: 373-385; doi: 10.3832/efor0481-0040373

ACOSTA-MIRALES M., VARGAS-HRNANDEZ J., VELAZQUEZ-MARTINEZ A., ETCHEVERSBARRA J., 2002 – Estimacion del la biomasa aerea mediante el uso de relaciones alometricas en seis especes arboreas en Oxaca, Mexico. Agrociencia, 36: 725-

BASKERVILLE G.L., 1972 – Use of logarithmic Regression in the Estimation of Plant Biomass. Canadian Journal of Forest Research, 2: 49-53; doi: 10.1139/x72-009

BILLE J.C., 1980 – Measuring the primary palatable production of browse plants. In: «Browse in Africa, the current state of knowledge», Le Houérou H.N. Papers presented at the International Symposium on Browse in Africa Addis Ababa,

April, 1980.

BREMAN H., KESSLER J.J., 1995 – Le rôle des ligneux dans les agro-écosystèmes des régions semi-arides (avec un accent particulier sur les pays sahéliens). CABO, Wageningen.

BROWN S., GILLESPIE A.J.R., LUGO, A.J., 1989 – Biomass Estimation Methods for Tropical Forests with Applications to Forest Inventory Data. Forest Science, 35 (4): 881-902.

CUNIA T., 1964 – Weighted Least Square Method and Construction of Volume Tables. Forest Science, 10 (2): 180-191.

DANILIN I.M., MEDVEDEV E.M., 2004 – Forest inventory and biomass assessment by the use of airborne laser scanning method (example from Siberia). International Archives of Photogrammetry, Remote Sensing and Spatial Information

Sciences, 36: 139-144.

DAVIS, F.W., ROBERTS D., 2000 – Stand structure in terrestrial ecosystems - In: «Methods in Ecosystem Science», Sala O.E., Jackson R.B.,Mooney H.A., Howarth R.W.. Springer, New York, p. 7-30.

DEANS J.D., MORAN J., GRACE J., 1996 – Biomass relationships for tree species in regenerating semi-deciduous tropical moist forest in Cameroon. Forest Ecology and Management, 88: 215-225; doi: 10.1016/S0378-1127(96)03843-1

DEL FAVERO R., HELLRIGL B., 1976 – Indagine sulla capacità interpretativa delle funzioni stereometriche impiegabili nella costruzione delle tavole di cubatura a doppia entrata. Annali dell’ISAFA, vol. 5, Trento.

DRAKE J.B., KNOX R.G., DUBAYAH R.O., CLARK D.B., CONDIT R., BLAIR J.B., HOFTON M., 2003 – Above-ground biomass estimation in closed canopy Neotropical forests using lidar remote sensing: factors affecting the generality of

relationships. Global Ecology and Biogeography, 12 (2): 147-159; doi: 10.1046/j.1466-822X.2003.00010.x

ESHETE G., STAHL G., 1998 – Functions for multiphase assessment of biomass inAcacia woodland of the Rift Valley of Ethiopia. Forest Ecology and Management, 105: 79-90; doi:10.1016/S0378-1127(97)00273-9

FAO, 1999 – Les ressources forestières naturelles et les plantations forestières au Niger. EC/FAO ACP Collecte de données. Rapport Technique AFDCA/TR/13.

KETTERINGS Q.M., COE R., NOORDWIJK M., AMBAGAU Y., PALM C., 2001 – Reducing uncertainty in the use of allometric biomass equations for predicting aboveground

tree biomass in mixed secondary forests. Forest Ecology and

Management, 146: 199-209; doi:10.1016/S0378-1127(00)00460-6

LA MARCA O., 1999 – Elementi di dendrometria. Pàtron Editore, Bologna.

LAAMOURI A., CHTOUROU A., BEN SALEM H., 2002 – Prédiction de la biomasse aérienne d’Acacia cyanophylla Lindl. (Syn. A. salinga (Labill.) mH. Wendll) à partir de mensurations dimensionnelles. Annals of Forest Science, 59: 335-340.

LEFSKY M.A., COHEN W.B., HARDING D.J., PARKER G.G., ACKER S.A., GOWER S.T., 2002 – Lidar remote sensing of above-ground biomass in three biomes. Global

Ecology and Biogeography, 11: 393-399; doi: 10.1046/j.1466-

x.2002.00303.x

LEFSKY M.A., HARDING D., COHENW.B., PARKER G., SHUGART H.H., 1999 – Surface lidar remote sensing of basal area and biomass in deciduous forests of eastern Maryland, USA. Remote Sensing of Environment, 67 (1): 83-98.

LU D., 2006 – The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing, 27 (7): 1297-1328.

LUHENDE R., NYADZI G., MALIMBWI R.E., 2006 – Comparison of wood basic density and basal area of 5-year-old Acacia crassicarpa, A. julifera, A. leptocarpa, Leucaena pallida and Senna siamea in rotational woodlots trials in western

Tabora, Tanzania. IUFRO NFT 91: 5-6.

MAGHA M. I., 2006 – Politiques et programmes GRN et tendances environnementales au Niger: nature, richesse et pouvoir. FRAME/CILLS, Niamey.

MCHALE M.R., BURKE I.C., LEFSKY M.A., PEPER P.J. MCPHERSON E.G., 2009 – Urban forest biomass estimates: is it important to use allometric relationships

developed specifically for urban trees? Urban Ecosystems, 12 (1): 95-113.

NÆSSET E., GOBAKKEN T., 2008 – Estimation of above-and below-ground biomass across regions of the boreal forest zone using airborne laser. Remote Sensing of Environment, 112: 3079-3090.

NAVAR J., MENDEZB E., NAJERA A., GRACIANO J., DALE V., PARRESOL B., 2004 – Biomass equations for shrub species of Tamaulipan thornscrub of North-eastern Mexico. Journal of Arid Environments, 59: 657-674.

NELSON R., ODERWALD R., GREGOIRE T.G., 1997 – Separating the ground and airborne laser sampling phases to estimate tropical forest basal area, volume, and biomass. Remote Sensing of Environment, 60 (3): 311-326.

NOCETTI M., BERTINI G., FABBIO G., TABACCHI G., 2007 – Equazioni di previsione della fitomassa arborea per i soprassuoli di cerro in avviamento ad altofusto in Toscana. Forest@ 4 (2): 204-212; doi: 10.3832/efor0449-0040204

OLA-ADAMS B.A., 1997 – Assessment of three allometric regression techniques of biomass determination in two hardwood species. Journal of Tropical Forest Science, 9 (3): 321-328.

PAFAGE, 2004 – Evaluation de la durabilité du développement. Ce.S.I.A., IBIMETCNR, DSCF. Niamey.

PAFAGE, 2005 – Evaluation de l’importance de Keita dans le cadre de la Convention des Nations Unies sur les Changements Climatiques. Ce.S.I.A., IBIMET-CNR, DSCF. Niamey.

PARRERSOL B.R., 1999 – Assessing tree and stand biomass: A review with examples and critical comparisons. Forest Science, 45 (4):573-593.

PEICRE, 1998 – Projet d’évaluation des interventions pour la conservation e la recuperation de l’environnement. Ce.S.I.A., IBIMET-CNR, UTA. Niamey.

PNUD, 2004 – Consultation Sectorielle sur l’Environnement et la Lutte Contre la Désertification: Diagnostic Régional de Tahoua. PNUD, Niamey.

POPESCU C.S., 2007 – Estimating biomass of individual pine trees using airborne lidar. Biomass and Bioenergy, 31 (9): 646-655.

POUPON H.,1976 – La biomasse et l’évolution de sa répartition

au cours de la croissance d’Acacia senegal dans une savane sahélienne (Sénégal). Bois et Forets de Tropique, 166: 23-38.

RIANO D., MEIER E., ALLGOWER B., CHUVIECO E., USTIN S.L., 2003 – Modeling airborne laser scanning data for the spatial generation of critical forest parameters in fire behavior modeling. Remote Sensing of Environment, 86 (2):177-186.

SALIS S.M., ASSIS M.A., MATTOS P., PIÃO A.C.S., 2006 – Estimating the aboveground biomass and wood volume of savanna woodlands in Brazil’s Pantanal wetlands

based on allometric correlations. Forest Ecology and Management, 228: 61-68; doi: 10.1016/j.foreco.2006.02.025

SNEDECOR G.W., COCHRAN W.G., 1980 – Statistical Methods 7th ed. The Iowa State University Press, Ames.

SOLIANI L., 2005 – Statistica Univariata e Bivariata, Parametrica e Non Parametrica per le Discipline Ambientali e Biologiche. UNI.NOVA, Parma, http: //www.dsa.unipr.it/soliani.

SOUMANA I., 1996 – L’environnement au Niger. RESADEP, Niamey.

TABACCHI G., 1983 – Scelta e determinazione del modello perequativo per la costruzione di tavole di cubatura a singola e a doppia entrata. Annali dell’ISAFA vol. 9, Trento.

TABACCHI G., 1985 – I minimi quadrati ponderati nella stima dei coefficienti delle equazioni stereometriche. Annali dell’ISAFA, vol. 10, Trento.

TER-MIKAELIAN M.T., KORZUKHIN M.D., 1997 – Biomass equations for sixty-five North American tree species. Forest Ecology and Management, 97: 1-24; doi:10.1016/S0378-1127(97)00019-4

VEIGA R., BRASIL M., CARVALHO C., 1998 – Aboveground Biomass Equations for 7- years old Acacia mangium Willd in Botucatu, Brazil. Integrated Tools Proceedings, Boise, Idaho, USA.

ZIANIS D., MENCUCCINI M., 2004 – On simplifying allometric analyses of forest biomass. Forest Ecology and Management, 187: 311-332; doi: 10.1016/j.foreco.2003.07.007


Full Text: PDF (Italiano)

Refbacks

  • There are currently no refbacks.