Application of Geographic Information System (GIS) for mapping land use types in Musanze district, Rwanda

Abstract: The purpose of this study was to apply Geographic Information System (GIS) for mapping different land use types. This study was conducted in Sahara, Gisesero and Kavumu cells of Busogo Sector from May to June 2012. In this area, land use management practices are not well applied and therefore, the natural environment is being degraded and this is illustrated by the cropping on hills and mountains with high slope area while they are appropriate for forest plantations. This study provides the information on how forests and other land use types should be managed in order to sustain the environment. Global Positioning System (GPS) was used to collect data and Arc map GIS 9.2 software was used for data analysis. Results showed that forestland occupies 42.5 ha (3.15 % of total study area), the area covered by crops while it is more appropriate to grow forests occupies 45.7 ha (3.45 %), the total area that must be occupied by the forest is 6.6% and the area covered by human settlement, city and institutions is 116.5 ha (8.79 %). The remaining 1045 ha (84 % of study area) is used in agricultural activities, agroforestry and infrastructure. Forest managers should advocate for planting trees in all areas with steep slope on hills and mountains and in areas where agriculture has no potential with good sylvicultural practices and expanding the agriculture in lowland where the erosion risk is minimum

Sustainable Agroforestry for Soil Chemical Properties Improvement and Nutrients Availability in Agriculture Landscape around Cyamudongo Isolated Forest, Rwanda

The protected areas of Rwanda are facing various challenges resulting from the anthropogenic activities of the surrounding communities, especially in the adjacent area to Cyamudongo isolated rain forest, which results in soil degradation. Therefore, this study aims to broaden current knowledge on the impact of sustainable Agroforestry (AF) on soil-selected chemical and physical properties. To understand this, the permanent sample plots (PSPs) were established mainly in the designed four transects of four km long originating on the boundary of the Cyamudongo isolated rain forest following the slope gradient ranging from 1286 to 2015 m asl. A total number of 73 PSPs were established in the Cyamudongo study area. The Arc Map GIS 10.4 was used to design and map the sampling areas while GPS was used for localization of plots centers. Statistical significance was analyzed through R-software. The recorded soil pH means value across in Cyamudongo study area is 4.2, which is strongly acidic. The tests revealed that the soil pH, C, N, C: N ratio, OM, NH4+, NO3-+NO2-, PO43-, and CEC were significantly different in various soil depths. The pH, N, C: N ratio, CEC, NH4+, PO43-, and Al3+ showed a significant difference across land uses whereas the C and NO3-+NO2- did not show any statistical difference. All tested chemical elements showed a statistical difference as far as altitude ranges are concerned. The only NH4+, PO43-, and CEC showed significant differences with time whereas all other remaining chemical elements did not show any statistical significance. The soil pH was very strongly correlated with CEC, Mg, and Ca in cropland (CL) whereas it was strongly correlated in both AF and natural forest (NF) except for Mg, which was moderately correlated in AF. Furthermore, its correlation with K was strong in CL, and moderate in AF while it was weak in NF. Finally, the pH correlation with Na was weak in both AF and CL whereas it was negligible in NF

Carbon Sequestration and Carbon Stock of Agroforestry Tree Species Around Cyamudongo Isolated Rain Forest and Arboretum of Ruhande, Rwanda

Agroforestry (AF) is widely considered the most important tool to mitigate climate change-related issues by removing Carbon (C) Dioxide (CO2) from the atmosphere and storing C. Therefore, this study aims to broaden current knowledge on the impact of sustainable Agroforestry (AF) on the C sequestration rate and C stock in the surroundings of Cyamudongo isolated rain forest and Ruhande Arboretum. To understand this, the permanent sample plots (PSPs) were established mainly in the four designed transects of four km long originating on the Cyamudongo isolated rain forest boundary following the slope gradient ranging from 1286 to 2015 m asl. A total number of 73 PSPs were established in the Cyamudongo study area while 3 PSPs were established in the Ruhande AF plot. The Arc Map GIS 10.4 was used to design and map the sampling areas while GPS was used for the localization of the plots. Statistical significance was analyzed through R-software. The estimated quantity of sequestrated C for 2 years and 34 years of AF species was 13.11 t C ha -1 yr-1 (equivalent to 48 t CO2 ha -1 yr-1) and 6.85 t ha-1 yr-1 (equivalent to 25.1 t CO2 ha -1 yr-1) in Cyamudongo and Ruhande respectively. The estimated quantity of C stored by the Ruhande AF plot is 232.94 t ha-1. In Cyamudongo, the overall C stored by the AF systems was 823 t ha-1 by both young tree species established by the Cyamudongo Project (35.84 t ha-1) and C stored by existing AF species before the existence of the Project (787.12 t ha-1). In all study areas, the Grevillea robusta contributed more to overall stored C. The correlation coefficients between tree diameter and living biomass ranged from moderate to very strong due to differences in terms of age, stage of growth, and tree species

Sustainable Agroforestry for Soil Chemical Properties Improvement and Nutrients Availability in Agriculture Landscape around Cyamudongo Isolated Forest, Rwanda

The protected areas of Rwanda are facing various challenges resulting from the anthropogenic activities of the surrounding communities, especially in the adjacent area to Cyamudongo isolated rain forest, which results in soil degradation. Therefore, this study aims to broaden current knowledge on the impact of sustainable Agroforestry (AF) on soil-selected chemical and physical properties. To understand this, the permanent sample plots (PSPs) were established mainly in the designed four transects of four km long originating on the boundary of the Cyamudongo isolated rain forest following the slope gradient ranging from 1286 to 2015 m asl. A total number of 73 PSPs were established in the Cyamudongo study area. The Arc Map GIS 10.4 was used to design and map the sampling areas while GPS was used for localization of plots centers. Statistical significance was analyzed through R-software. The recorded soil pH means value across in Cyamudongo study area is 4.2, which is strongly acidic. The tests revealed that the soil pH, C, N, C: N ratio, OM, NH4+, NO3-+NO2-, PO43-, and CEC were significantly different in various soil depths. The pH, N, C: N ratio, CEC, NH4+, PO43-, and Al3+ showed a significant difference across land uses whereas the C and NO3-+NO2- did not show any statistical difference. All tested chemical elements showed a statistical difference as far as altitude ranges are concerned. The only NH4+, PO43-, and CEC showed significant differences with time whereas all other remaining chemical elements did not show any statistical significance. The soil pH was very strongly correlated with CEC, Mg, and Ca in cropland (CL) whereas it was strongly correlated in both AF and natural forest (NF) except for Mg, which was moderately correlated in AF. Furthermore, its correlation with K was strong in CL, and moderate in AF while it was weak in NF. Finally, the pH correlation with Na was weak in both AF and CL whereas it was negligible in NF.</jats:p

Frequency, Harmfulness and Vulnerability (FHV) Multicriteria Method for Integrated Analysis of Illegal Exploitations and Strategic Participatory Management of Protected Areas in Africa

In Africa, protected areas are facing hudge illegal exploitations and accelerated degradation. Illegal exploitations are interesting indicators of local socio-economic needs and hostility of populations to conservation activities. The study aimed to develop a specific method for the analysis of illegal exploitations and the promotion of successful participatory management. Basically, the Multicriteria method used to determine the impact and the gravity of illegal exploitations relies on three criteria based on offenses themselves and affected resources. The method combines statistical analysis of management data using ANOVA and χ² tests, field observations and semi-structured interviews for validation. For the tested Rusizi national Park, the findings showed that the number of supervised exploitations increased from 1988 to 2015 while the number of supervised operators is limited and highly fluctuating between resources and periods. The public integration ratio is 8 0/000 and corresponds to 61 supervised operators of which 84% are involved in vegetal resources exploitations. In total, 10 illegal exploitations whose impact values range from 1 to 20 and belong to very high and high impact classes were reported.  Average, 651 cases of which 71% cover direct cuts of vegetation were reported annually. Statistically, the most damaging illegal exploitations are made of tree and vegetation cuts, cattle grazing and fishing. Illegal exploitations are seasonal and more important in dry season than in rainy season. They are more important in Delta sector than in Palmeraie sector. The shift from gracious exploitations to lucrative operations, over-taxation of supervised exploitations, low ratio of public integration, political conflicts and unarmed protection contributed to increase and strengthen significantly illegal exploitations. Ultimately, the results revealed the limits of participatory management on illegal exploitations. Consequently, the success of participatory management in Rusizi national Park requires strategic and concerted development projects, more responsive regulatory measures and relevant partnerships with peripheral village.</jats:p

Design, Characterization and Geospatial Analysis of Physical and Socio-economic Indicators of Anthropogenic Pressures on Protected Areas in Africa

In Africa, the important agro-pastoral activity and poverty in rural areas lead to strong anthropogenic pressures on protected areas and to their quick degradation. Therefore the efficient conservation and sustainable exploitation of protected areas require adaptive and dynamic management that integrates peripheral interactions with regard to their changing spatial and temporal dimensions. They call for the deployment of appropriate management indicators capable of translating all the issues raised into concrete and practical terms. To this end, a new conceptual and analytical approach to assess pressure indicators is needed to take into account the spatio-temporal oscillation or mobility of the area of ​​socio-economic dependence that must henceforth provide the basis for sustainable management in the context of adaptation to climate change. The study responds to this concern through rigorous conceptualization, characterization and validation of original peripheral pressure indicators focused on a global and dynamic socio-economic framework. The method used consisted of an interpretative analysis of theoretical bibliographic data, measurements and field observations using GPS, ArcGIS 10.1 and Envi 4.5 and semi-structured interviews for the characterization of defined pressure indicators and their field validation. The five pressure indicators designed and applied on the basis of the criteria of direct dependence on protected areas are the coefficient of asymmetry (Kc), the periphery (Ψ), the dependent population (Dπ), the distance-access time (DAT) and the field daily working time (FDWT). The approach and pressure indicators were successfully applied to the Rusizi National Park (Burundi) for the period 1984-2015. The results showed that the park has a coefficient of asymmetry of 2.64 which represents a three times higher level than its circular equivalent, a periphery of 13.23 km radius composed of 35 localities characterized by distance-access times comprise between 0 to 2 h 30 and field daily working times ranging from 7 to 11 hours. They revealed that nearly 70% of peripheral populations are concentrated within 6 km from the boundaries and have distance-access times of less than one hour. The peripheral dependence on Rusizi Park reaches 100% for woody resources, 97% for livestock products, 88% for agricultural resources and 83% for animal protein products. The modeling of potential pressures and               field observations showed that peripheral localities are the more threatening that they are         more dependent, more populated and closer to the park. As a consequence, the important anthropogenic pressures led to a very significant degradation of the park during the study     period.</jats:p

Design, Characterization and Geospatial Analysis of Physical and Socio-economic Indicators of Anthropogenic Pressures on Protected Areas in Africa

In Africa, the important agro-pastoral activity and poverty in rural areas lead to strong anthropogenic pressures on protected areas and to their quick degradation. Therefore the efficient conservation and sustainable exploitation of protected areas require adaptive and dynamic management that integrates peripheral interactions with regard to their changing spatial and temporal dimensions. They call for the deployment of appropriate management indicators capable of translating all the issues raised into concrete and practical terms. To this end, a new conceptual and analytical approach to assess pressure indicators is needed to take into account the spatio-temporal oscillation or mobility of the area of ​​socio-economic dependence that must henceforth provide the basis for sustainable management in the context of adaptation to climate change. The study responds to this concern through rigorous conceptualization, characterization and validation of original peripheral pressure indicators focused on a global and dynamic socio-economic framework. The method used consisted of an interpretative analysis of theoretical bibliographic data, measurements and field observations using GPS, ArcGIS 10.1 and Envi 4.5 and semi-structured interviews for the characterization of defined pressure indicators and their field validation. The five pressure indicators designed and applied on the basis of the criteria of direct dependence on protected areas are the coefficient of asymmetry (Kc), the periphery (Ψ), the dependent population (Dπ), the distance-access time (DAT) and the field daily working time (FDWT). The approach and pressure indicators were successfully applied to the Rusizi National Park (Burundi) for the period 1984-2015. The results showed that the park has a coefficient of asymmetry of 2.64 which represents a three times higher level than its circular equivalent, a periphery of 13.23 km radius composed of 35 localities characterized by distance-access times comprise between 0 to 2 h 30 and field daily working times ranging from 7 to 11 hours. They revealed that nearly 70% of peripheral populations are concentrated within 6 km from the boundaries and have distance-access times of less than one hour. The peripheral dependence on Rusizi Park reaches 100% for woody resources, 97% for livestock products, 88% for agricultural resources and 83% for animal protein products. The modeling of potential pressures and field observations showed that peripheral localities are the more threatening that they are more dependent, more populated and closer to the park. As a consequence, the important anthropogenic pressures led to a very significant degradation of the park during the study period

Carbon Sequestration and Carbon Stock of Agroforestry Tree Species Around Cyamudongo Isolated Rain Forest and Arboretum of Ruhande, Rwanda

Agroforestry (AF) is widely considered the most important tool to mitigate climate change-related issues by removing Carbon (C) Dioxide (CO2) from the atmosphere and storing C. Therefore, this study aims to broaden current knowledge on the impact of sustainable Agroforestry (AF) on the C sequestration rate and C stock in the surroundings of Cyamudongo isolated rain forest and Ruhande Arboretum. To understand this, the permanent sample plots (PSPs) were established mainly in the four designed transects of four km long originating on the Cyamudongo isolated rain forest boundary following the slope gradient ranging from 1286 to 2015 m asl. A total number of 73 PSPs were established in the Cyamudongo study area while 3 PSPs were established in the Ruhande AF plot. The Arc Map GIS 10.4 was used to design and map the sampling areas while GPS was used for the localization of the plots. Statistical significance was analyzed through R-software. The estimated quantity of sequestrated C for 2 years and 34 years of AF species was 13.11 t C ha -1 yr-1 (equivalent to 48 t CO2 ha -1 yr-1) and 6.85 t ha-1 yr-1 (equivalent to 25.1 t CO2 ha -1 yr-1) in Cyamudongo and Ruhande respectively. The estimated quantity of C stored by the Ruhande AF plot is 232.94 t ha-1. In Cyamudongo, the overall C stored by the AF systems was 823 t ha-1 by both young tree species established by the Cyamudongo Project (35.84 t ha-1) and C stored by existing AF species before the existence of the Project (787.12 t ha-1). In all study areas, the Grevillea robusta contributed more to overall stored C. The correlation coefficients between tree diameter and living biomass ranged from moderate to very strong due to differences in terms of age, stage of growth, and tree species.</jats:p