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Validation of land evaluation methods for performance assessment of traditional agroforestry systems in South West Cameroon

Affiliation
Institute of Agricultural Research for Development (IRAD), Ekona Regio- nal Research Centre, PMB 25 Buea, Cameroon
Njukeng, Jetro N.;
Affiliation
Institute of Agricultural Research for Development (IRAD), Ekona Regio- nal Research Centre, PMB 25 Buea, Cameroon
Patrick, Samalang;
Affiliation
Institute of Agricultural Research for Development (IRAD), Ekona Regio- nal Research Centre, PMB 25 Buea, Cameroon
Mba, Charles Magloire;
Affiliation
Institut National de Recherche Agronomique (INRA) Antilles-Guyana, URAPC, Guadeloupe (FWI)
Barros, Inacio de;
Affiliation
University of Buea, Department of Chemistry, PMB 63 Buea, Cameroon
Nkeng, George E.;
Affiliation
Unité Mixte de Recherche Système, CIRAD Cultures Pérennes, 2 Place Viala, 34000 Montpellier, France
Enjalric, Frank;
Affiliation
Institute of Agricultural Research for Development (IRAD), Ekona Regio- nal Research Centre, PMB 25 Buea, Cameroon
Ehabe, Eugene E.;
GND
1024299236
Affiliation
Julius Kühn-Institut (JKI), Federal Research Centre of Cultivated Plants, Institute for Crop and Soil Science, Braunschweig, Germany
Schnug, Ewald

Kleinbäuerliche Landwirtschaft in den Tropen bestehen zumeist aus einem komplexen Gemisch ein- und mehrjähriger Kulturen mit dem Ziel, den Raum zwischen den mehrjährigen Kulturen bei gegebenen klimatischen und pedologischen Bedingungen möglichst optimal zu nutzen, und das ökonomische Anbaurisiko zu minimieren. Ziel der Untersuchungen dieser Arbeit war es, die Eignung traditioneller Landbewertungssysteme für derartig komplexe Situationen zu überprüfen und mit den Klassifizierungsergebnissen multivariater statistischer Methoden zu vergleichen. Bedingt durch die Vielzahl der in die Bewertungs bzw. multivariate Analyse aufgenommenen Parameter wurde im Ergebnis eine relativ hohe Übereinstimmung beider Ansätze erreicht. Multivariate statistische Verfahren erscheinen demnach geeignet, die erheblich arbeitsaufwändigeren klassischen Methoden der Landbewertung wenn nicht ganz zu ersetzen, doch wirksam zu unterstützen.

Smallholder farms in humid tropics often display complex associations of perennial and annual crops as farmers tend to valorise between-row spaces of the perennials by intercropping with shorter cycle crops, all in a bid to better absorb climatic and associated economic risks. To better understand the functioning and performance of such systems, the flow of farm inputs and production should be properly monitored. This study was conducted to assess the suitability of traditional land evaluation and multivariate statistical analysis to define relatively homogeneous entities or farm section units (FSU). Data obtained from several perennial crop-based farms were analysed using a traditional land evaluation technique and multivariate statistical analysis. Irrespective of the evaluation method, all parameters varied considerably for the plots surveyed. The zones differed with respect to their altitudes, farm holding size, annual rainfall, and slope of fields. Although both evaluation systems seemed complementary, results obtained did not always converge owing to differences in the nature and magnitude of criteria considered. These results demonstrate the feasibility of complementing traditional land evaluation with some multi-variate statistical analysis to classify perennial crop based farming systems.

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