Baseline characterization helps to understand the initial livelihood condition of the people in the watershed before and after the intervention of the project to measure the amount of change attained by the project. The objective of the study was to characterize baseline information on the existing biophysical resource used as benchmark for planning and impact monitoring and to identify and major constraints and potential in the watershed. The watershed was selected depending on agro-ecological representation, prevalence of resource management and land degradation problems and accessibility for intensive follow-up. Based on the preliminary outlet identified during the watershed selection process, the watershed boundary was delineated using GPS data and the map of watershed was geo-referenced and digitized for its contour, roads, rivers, and other features. Both primary and secondary data were used for the study and primary data was collected through field observation, household survey, focus group discussion and interview of the key informants. From the total 103 household heads living in the watershed, 62 household heads were selected as a respondent for the study. The collected data was managed and analyzed using Statistical Package for Social Sciences (SPSS) and Microsoft excel 2010. The results of the study showed that about 29.4% of the watershed slope was characterized by flat lands, 45.7% moderate slope and 24.9% steep lands. As well as soil fertility status of cultivated land in the watershed were 33.9% low, 55.9% moderate and 10.2% high. The results of the study showed that the major constraints identified by sampled household heads were decline of soil fertility, soil erosion, climate change, land shortage, and deforestation were significantly contributed to the low crop yield in the watershed. About 27.4% of the sampled households had encountered decline of soil fertility problems, 25.8% of sample farmers encountered soil erosion problem, and 22.6% of sample farmers encountered climate change problem in the watershed. From the identified major constraints, the highest priorities were given for decline of soil fertility, soil erosion problem, shortage of feed and fodder, and decline of crop productivity respectively. In the watershed, immediate short-term actions should be taken particularly participatory integrated watershed management were recommended.
Published in | Agriculture, Forestry and Fisheries (Volume 13, Issue 4) |
DOI | 10.11648/j.aff.20241304.11 |
Page(s) | 94-105 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Watershed, Characterization, Identification, Prioritization
Characters | Description | Plot of land | |
---|---|---|---|
Frequency | Percent | ||
Slope of land | Flat | 72 | 29.4 |
Medium | 112 | 45.7 | |
Steep | 61 | 24.9 | |
Soil Fertility status | Low | 83 | 33.9 |
Moderate | 137 | 55.9 | |
High | 25 | 10.2 | |
Soil Color | Red | 132 | 53.9 |
Black | 17 | 6.9 | |
Gray | 4 | 1.6 | |
Brown | 92 | 37.6 | |
Degree of Soil Erosion | Slight | 84 | 34.3 |
Moderate | 108 | 44.1 | |
Severe | 46 | 18.8 | |
Not recognized | 7 | 2.9 |
Type of SWC practices | Frequency | Percent | Type of SWC practices | Frequency | Percent |
---|---|---|---|---|---|
A. Agronomic practices | B. Physical SWC practices | ||||
Mono cropping | 3 | 5 | Soil bund | 8 | 13 |
Rotation (cereals – pulse) | 42 | 68 | Stone bund | 7 | 11 |
Rotation (cereal-cereal) | 15 | 24 | Terrace | 5 | 8 |
Rotation (cereal – others) | 2 | 3 | Cut-off drain | 9 | 15 |
Home garden | 8 | 13 | Water way | 31 | 50 |
Broadcasting sowing | 62 | 100 | C. Biological SWC practices | ||
Conventional tillage practice | 44 | 71 | Using local grass | 9 | 15 |
Conservation tillage practice | 18 | 29 | Road side plantation | 6 | 10 |
0% crop residue left | 54 | 87 | Farm boundary plantation | 9 | 15 |
50% crop residue left | 8 | 13 | Buffer stripe | 1 | 2 |
D. Gully Control | Area closure (ha) | 5 | 8 | ||
Stone Check dam | 5 | 8 | |||
Brush wood | 1 | 2 | |||
Others | 1 | 2 |
Land use/ land cover | Area coverage in 2022 | |
---|---|---|
In (ha) | In (%) | |
Forest land | 10.48 | 1.6 |
Cultivated land | 490.87 | 73.2 |
Grazing land | 111.26 | 16.6 |
Scattered tree on the farm | 48.62 | 7.2 |
Settlements | 9.43 | 1.4 |
Total land | 670.67 | 100 |
Slope Class | Area (ha) | Area (%) |
---|---|---|
Flat (0-3%) | 23.9 | 3.6 |
Gently Sloping (3-8%) | 140.8 | 21.0 |
Moderately Steep (8-15%) | 202.8 | 30.2 |
Sloping (15-30%) | 242.9 | 36.2 |
Steep (>30%) | 60.27 | 9.0 |
Total | 670.67 | 100 |
Land and soil related constraints | Frequency | Percent |
---|---|---|
Decline of Soil Fertility | 17 | 27.4 |
Soil Erosion | 16 | 25.8 |
Climate Change | 14 | 22.6 |
Land Shortage | 10 | 16.1 |
Deforestation | 5 | 8.1 |
Total | 62 | 100.0 |
Decline of soil fertility | Soil erosion | Climate change | Shortage of agricultural inputs | Decline of crop productivity | Crop disease | |
---|---|---|---|---|---|---|
Decline of soil fertility | 0 | 1 | 1 | 1 | 1 | |
Soil erosion | 1 | 1 | 1 | 1 | 1 | |
Climate change | 0 | 0 | 0 | 0 | 1 | |
Shortage of agricultural inputs | 0 | 0 | 1 | 1 | 1 | |
Decline of crop productivity | 1 | 0 | 1 | 0 | 1 | |
Crop disease | 0 | 0 | 0 | 0 | 0 | |
Shortage of feed and fodder | 0 | 1 | 1 | 1 | 1 | 1 |
Lack of employment opportunity | 0 | 0 | 1 | 0 | 0 | 1 |
Inflation | 0 | 0 | 1 | 1 | 0 | 0 |
Lack of drinking water | 0 | 0 | 0 | 0 | 0 | 0 |
Shortage of feed and fodder | Lack of employment opportunity | Inflation | Lack of drinking water | Score | priority | |
---|---|---|---|---|---|---|
Decline of soil fertility | 1 | 1 | 1 | 1 | 8 | 1 |
Soil erosion | 0 | 1 | 1 | 1 | 8 | 1 |
Climate change | 0 | 0 | 0 | 1 | 2 | 5 |
Shortage of agricultural inputs | 0 | 1 | 0 | 1 | 5 | 4 |
Decline of crop productivity | 0 | 1 | 1 | 1 | 6 | 3 |
Crop disease | 0 | 0 | 1 | 1 | 2 | 5 |
Shortage of feed and fodder | 0 | 1 | 1 | 7 | 2 | |
Lack of employment opportunity | 1 | 1 | 1 | 5 | 4 | |
Inflation | 0 | 0 | 0 | 2 | 5 | |
Lack of drinking water | 0 | 0 | 1 | 1 | 6 |
Potentials | Frequency | Percent |
---|---|---|
A. Natural resource potentials | ||
Sand and coble stone | 27 | 43.5 |
Permanent river | 13 | 21.0 |
Forest | 12 | 19.4 |
Suitable agro-ecology | 10 | 16.1 |
Total | 62 | 100.0 |
°C | Degree Centigrade |
GDP | Gross Domestic Product |
GPS | Global Positioning System |
ha | Hectare |
Km | Kilometers |
km2 | Square Kilometers |
mm | Millimeters |
SPSS | Statistical Package for Social Sciences |
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APA Style
Bedada, E., Mengistu, B., Muluna, M., Tolosa, M., Jifara, M., et al. (2024). Biophysical Resource Characterization, Identification and Prioritization of Major Constraints and Potentials of Gara Ebanu Community Watershed in Sululta District, Ethiopia. Agriculture, Forestry and Fisheries, 13(4), 94-105. https://doi.org/10.11648/j.aff.20241304.11
ACS Style
Bedada, E.; Mengistu, B.; Muluna, M.; Tolosa, M.; Jifara, M., et al. Biophysical Resource Characterization, Identification and Prioritization of Major Constraints and Potentials of Gara Ebanu Community Watershed in Sululta District, Ethiopia. Agric. For. Fish. 2024, 13(4), 94-105. doi: 10.11648/j.aff.20241304.11
AMA Style
Bedada E, Mengistu B, Muluna M, Tolosa M, Jifara M, et al. Biophysical Resource Characterization, Identification and Prioritization of Major Constraints and Potentials of Gara Ebanu Community Watershed in Sululta District, Ethiopia. Agric For Fish. 2024;13(4):94-105. doi: 10.11648/j.aff.20241304.11
@article{10.11648/j.aff.20241304.11, author = {Endale Bedada and Bikila Mengistu and Meseret Muluna and Meron Tolosa and Mengistu Jifara and Alemayehu Biri and Firaol Legesse and Ajema Lemma and Bedo Hora and Lemma Teklu and Woubalem Abera}, title = {Biophysical Resource Characterization, Identification and Prioritization of Major Constraints and Potentials of Gara Ebanu Community Watershed in Sululta District, Ethiopia }, journal = {Agriculture, Forestry and Fisheries}, volume = {13}, number = {4}, pages = {94-105}, doi = {10.11648/j.aff.20241304.11}, url = {https://doi.org/10.11648/j.aff.20241304.11}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20241304.11}, abstract = {Baseline characterization helps to understand the initial livelihood condition of the people in the watershed before and after the intervention of the project to measure the amount of change attained by the project. The objective of the study was to characterize baseline information on the existing biophysical resource used as benchmark for planning and impact monitoring and to identify and major constraints and potential in the watershed. The watershed was selected depending on agro-ecological representation, prevalence of resource management and land degradation problems and accessibility for intensive follow-up. Based on the preliminary outlet identified during the watershed selection process, the watershed boundary was delineated using GPS data and the map of watershed was geo-referenced and digitized for its contour, roads, rivers, and other features. Both primary and secondary data were used for the study and primary data was collected through field observation, household survey, focus group discussion and interview of the key informants. From the total 103 household heads living in the watershed, 62 household heads were selected as a respondent for the study. The collected data was managed and analyzed using Statistical Package for Social Sciences (SPSS) and Microsoft excel 2010. The results of the study showed that about 29.4% of the watershed slope was characterized by flat lands, 45.7% moderate slope and 24.9% steep lands. As well as soil fertility status of cultivated land in the watershed were 33.9% low, 55.9% moderate and 10.2% high. The results of the study showed that the major constraints identified by sampled household heads were decline of soil fertility, soil erosion, climate change, land shortage, and deforestation were significantly contributed to the low crop yield in the watershed. About 27.4% of the sampled households had encountered decline of soil fertility problems, 25.8% of sample farmers encountered soil erosion problem, and 22.6% of sample farmers encountered climate change problem in the watershed. From the identified major constraints, the highest priorities were given for decline of soil fertility, soil erosion problem, shortage of feed and fodder, and decline of crop productivity respectively. In the watershed, immediate short-term actions should be taken particularly participatory integrated watershed management were recommended. }, year = {2024} }
TY - JOUR T1 - Biophysical Resource Characterization, Identification and Prioritization of Major Constraints and Potentials of Gara Ebanu Community Watershed in Sululta District, Ethiopia AU - Endale Bedada AU - Bikila Mengistu AU - Meseret Muluna AU - Meron Tolosa AU - Mengistu Jifara AU - Alemayehu Biri AU - Firaol Legesse AU - Ajema Lemma AU - Bedo Hora AU - Lemma Teklu AU - Woubalem Abera Y1 - 2024/07/15 PY - 2024 N1 - https://doi.org/10.11648/j.aff.20241304.11 DO - 10.11648/j.aff.20241304.11 T2 - Agriculture, Forestry and Fisheries JF - Agriculture, Forestry and Fisheries JO - Agriculture, Forestry and Fisheries SP - 94 EP - 105 PB - Science Publishing Group SN - 2328-5648 UR - https://doi.org/10.11648/j.aff.20241304.11 AB - Baseline characterization helps to understand the initial livelihood condition of the people in the watershed before and after the intervention of the project to measure the amount of change attained by the project. The objective of the study was to characterize baseline information on the existing biophysical resource used as benchmark for planning and impact monitoring and to identify and major constraints and potential in the watershed. The watershed was selected depending on agro-ecological representation, prevalence of resource management and land degradation problems and accessibility for intensive follow-up. Based on the preliminary outlet identified during the watershed selection process, the watershed boundary was delineated using GPS data and the map of watershed was geo-referenced and digitized for its contour, roads, rivers, and other features. Both primary and secondary data were used for the study and primary data was collected through field observation, household survey, focus group discussion and interview of the key informants. From the total 103 household heads living in the watershed, 62 household heads were selected as a respondent for the study. The collected data was managed and analyzed using Statistical Package for Social Sciences (SPSS) and Microsoft excel 2010. The results of the study showed that about 29.4% of the watershed slope was characterized by flat lands, 45.7% moderate slope and 24.9% steep lands. As well as soil fertility status of cultivated land in the watershed were 33.9% low, 55.9% moderate and 10.2% high. The results of the study showed that the major constraints identified by sampled household heads were decline of soil fertility, soil erosion, climate change, land shortage, and deforestation were significantly contributed to the low crop yield in the watershed. About 27.4% of the sampled households had encountered decline of soil fertility problems, 25.8% of sample farmers encountered soil erosion problem, and 22.6% of sample farmers encountered climate change problem in the watershed. From the identified major constraints, the highest priorities were given for decline of soil fertility, soil erosion problem, shortage of feed and fodder, and decline of crop productivity respectively. In the watershed, immediate short-term actions should be taken particularly participatory integrated watershed management were recommended. VL - 13 IS - 4 ER -