Land suitability assessment (LSA) is an essential step in the process of determining environmental limits for sustainable crop production. Up to date, studies on LSA for crop production in Cameroon have been based on ...Land suitability assessment (LSA) is an essential step in the process of determining environmental limits for sustainable crop production. Up to date, studies on LSA for crop production in Cameroon have been based on empirical methods which are limited as they consider similar singnificance levels for all evaluation criteria and do not consider the interrelationships of criteria in the best-fit models. In the present study a qualitative land suitability evaluation by an integrated multi-criteria decision-making (MCDM) approach and geographic information system (GIS) was tested to assess and map suitable land units for maize (Zea mays L) production in Cameroon Western highland. Eight environmental criteria identified as the most relevant for maize production in the area of interest (AOI) saw their thematic maps prepared using ArcGIS 10.8. The relationship between criteria was considered by the DEMATEL method. The criteria were weighted using the ANP method. Thereafter, the land suitability map was obtained using the weighted overlay analysis (WOA) in ArcGIS. The results obtained indicated that slope has the highest specific weight and consequently the greatest influence on land suitability for maize production in the locality. The land suitability map generated showed that Foumbot’s agricultural land suitability for maize production varies from very high to marginally suitable (99% of the surface area). Specifically, 11% (8056 ha) is very highly suitable, 29% (21,119 ha) is highly suitable, 38% (27,405 ha) are moderately suitable and 20% (14,422 ha) are marginally suitable. The remaining 1% that falls under non suitable class represents 606 ha and is located on the steep slopes around the Mount Mbappit. The kappa analysis reveals a total overall accuracy of 78.67% and a kappa value of 0.7256 with an asymptotic error of 0.058 which is good. Then the model used in this research is highly recommended for future land evaluation works in Cameroon and similar ecosystems around the world.展开更多
The eastern and southern regions of Cameroon, lower middle income country, need to increase their level of land use by the agricultural, forestry and mining sectors in order to develop. At the same time, Cameroon is c...The eastern and southern regions of Cameroon, lower middle income country, need to increase their level of land use by the agricultural, forestry and mining sectors in order to develop. At the same time, Cameroon is committed to managing its forests sustainably to meet the needs of present and future generations. This study assesses the compatibility of agricultural, forestry and mining policies with sustainable forest management in the East and South forest regions. Five analytical criteria were used and the analysis was carried out through surveys of key informants in the private sector, public administrations and civil society. The study showed that from 2013 to 2018, the contributions of the agricultural, forestry and mining sectors to GDP grew by about 74%, 65% and 60%, respectively. Agricultural, forestry and mining policies have an average compatibility rate of 45% with sustainable forest management, of which 52% for the forestry sector, 43% for the agricultural sector and 40% for the mining sector. Nonetheless, there are 21 causes of incompatibility, including 1) the non-involvement of all relevant public administrations in policy-making, 2) the low efficiency of the control system of exploitation activities, and 3) the poor coordination of actions in the three sectors. It was proposed to a) improve the legal and regulatory framework of the three sectors of activity and b) develop land-use planning tools among other measures to align existing policies with sustainable forest management.展开更多
文摘Land suitability assessment (LSA) is an essential step in the process of determining environmental limits for sustainable crop production. Up to date, studies on LSA for crop production in Cameroon have been based on empirical methods which are limited as they consider similar singnificance levels for all evaluation criteria and do not consider the interrelationships of criteria in the best-fit models. In the present study a qualitative land suitability evaluation by an integrated multi-criteria decision-making (MCDM) approach and geographic information system (GIS) was tested to assess and map suitable land units for maize (Zea mays L) production in Cameroon Western highland. Eight environmental criteria identified as the most relevant for maize production in the area of interest (AOI) saw their thematic maps prepared using ArcGIS 10.8. The relationship between criteria was considered by the DEMATEL method. The criteria were weighted using the ANP method. Thereafter, the land suitability map was obtained using the weighted overlay analysis (WOA) in ArcGIS. The results obtained indicated that slope has the highest specific weight and consequently the greatest influence on land suitability for maize production in the locality. The land suitability map generated showed that Foumbot’s agricultural land suitability for maize production varies from very high to marginally suitable (99% of the surface area). Specifically, 11% (8056 ha) is very highly suitable, 29% (21,119 ha) is highly suitable, 38% (27,405 ha) are moderately suitable and 20% (14,422 ha) are marginally suitable. The remaining 1% that falls under non suitable class represents 606 ha and is located on the steep slopes around the Mount Mbappit. The kappa analysis reveals a total overall accuracy of 78.67% and a kappa value of 0.7256 with an asymptotic error of 0.058 which is good. Then the model used in this research is highly recommended for future land evaluation works in Cameroon and similar ecosystems around the world.
文摘The eastern and southern regions of Cameroon, lower middle income country, need to increase their level of land use by the agricultural, forestry and mining sectors in order to develop. At the same time, Cameroon is committed to managing its forests sustainably to meet the needs of present and future generations. This study assesses the compatibility of agricultural, forestry and mining policies with sustainable forest management in the East and South forest regions. Five analytical criteria were used and the analysis was carried out through surveys of key informants in the private sector, public administrations and civil society. The study showed that from 2013 to 2018, the contributions of the agricultural, forestry and mining sectors to GDP grew by about 74%, 65% and 60%, respectively. Agricultural, forestry and mining policies have an average compatibility rate of 45% with sustainable forest management, of which 52% for the forestry sector, 43% for the agricultural sector and 40% for the mining sector. Nonetheless, there are 21 causes of incompatibility, including 1) the non-involvement of all relevant public administrations in policy-making, 2) the low efficiency of the control system of exploitation activities, and 3) the poor coordination of actions in the three sectors. It was proposed to a) improve the legal and regulatory framework of the three sectors of activity and b) develop land-use planning tools among other measures to align existing policies with sustainable forest management.
