Competition for grazing resources has been speculated to cause grazing conflicts in Northern Kenya. This study evaluated how pastoral communities compete for seasonal resources leading to grazing conflicts in the region. It was anchored on the theory that competition for limited resources led to livestock movements within and out of conservancies thus triggering conflicts on grazing resources. The study used mixed methods of ecological, remote sensing and social survey design. Purposive sampling was used to select four conservancies out of a population of fifteen, where three of them were community-managed while the fourth was privately owned. Lists of grazing committees were obtained, and systematic sampling used to select a population of 106 respondents. Self-administered questionnaires, focused group discussions and content analysis of literature were used to collect social data. The data was analyzed using Statistical Package for Social Sciences (SPSS) version 26. Ecological and bio-physical data on land-use trends were obtained using remote sensing and analyzed using Quantum GIS. The results established that competition accounted for about 45% of variability of grazing conflicts (R2=0.449). It was found that community conservancies had the greatest effects of competition for forage compared to private conservancies. The results were modelled to determine how competition can predict grazing conflicts in the region. The study recommended further investigations on the effects of other factors contributing to grazing conflicts that were not considered, while building capacity to pastoral communities to adhere to grazing plans in order to stem over-grazing and migrations.
| Published in | International Journal of Natural Resource Ecology and Management (Volume 5, Issue 4) |
| DOI | 10.11648/j.ijnrem.20200504.14 |
| Page(s) | 168-174 |
| 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), 2020. Published by Science Publishing Group |
Competition, Grazing Conflicts, Conservancies, Predicting Model
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APA Style
Dominic Maringa, Mworia Mugambi, Laititi Mutunga. (2020). Competition for Resources as a Predictor of Grazing Conflicts in Northern Kenya. International Journal of Natural Resource Ecology and Management, 5(4), 168-174. https://doi.org/10.11648/j.ijnrem.20200504.14
ACS Style
Dominic Maringa; Mworia Mugambi; Laititi Mutunga. Competition for Resources as a Predictor of Grazing Conflicts in Northern Kenya. Int. J. Nat. Resour. Ecol. Manag. 2020, 5(4), 168-174. doi: 10.11648/j.ijnrem.20200504.14
AMA Style
Dominic Maringa, Mworia Mugambi, Laititi Mutunga. Competition for Resources as a Predictor of Grazing Conflicts in Northern Kenya. Int J Nat Resour Ecol Manag. 2020;5(4):168-174. doi: 10.11648/j.ijnrem.20200504.14
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Download@article{10.11648/j.ijnrem.20200504.14,
author = {Dominic Maringa and Mworia Mugambi and Laititi Mutunga},
title = {Competition for Resources as a Predictor of Grazing Conflicts in Northern Kenya},
journal = {International Journal of Natural Resource Ecology and Management},
volume = {5},
number = {4},
pages = {168-174},
doi = {10.11648/j.ijnrem.20200504.14},
url = {https://doi.org/10.11648/j.ijnrem.20200504.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijnrem.20200504.14},
abstract = {Competition for grazing resources has been speculated to cause grazing conflicts in Northern Kenya. This study evaluated how pastoral communities compete for seasonal resources leading to grazing conflicts in the region. It was anchored on the theory that competition for limited resources led to livestock movements within and out of conservancies thus triggering conflicts on grazing resources. The study used mixed methods of ecological, remote sensing and social survey design. Purposive sampling was used to select four conservancies out of a population of fifteen, where three of them were community-managed while the fourth was privately owned. Lists of grazing committees were obtained, and systematic sampling used to select a population of 106 respondents. Self-administered questionnaires, focused group discussions and content analysis of literature were used to collect social data. The data was analyzed using Statistical Package for Social Sciences (SPSS) version 26. Ecological and bio-physical data on land-use trends were obtained using remote sensing and analyzed using Quantum GIS. The results established that competition accounted for about 45% of variability of grazing conflicts (R2=0.449). It was found that community conservancies had the greatest effects of competition for forage compared to private conservancies. The results were modelled to determine how competition can predict grazing conflicts in the region. The study recommended further investigations on the effects of other factors contributing to grazing conflicts that were not considered, while building capacity to pastoral communities to adhere to grazing plans in order to stem over-grazing and migrations.},
year = {2020}
}
TY - JOUR T1 - Competition for Resources as a Predictor of Grazing Conflicts in Northern Kenya AU - Dominic Maringa AU - Mworia Mugambi AU - Laititi Mutunga Y1 - 2020/11/23 PY - 2020 N1 - https://doi.org/10.11648/j.ijnrem.20200504.14 DO - 10.11648/j.ijnrem.20200504.14 T2 - International Journal of Natural Resource Ecology and Management JF - International Journal of Natural Resource Ecology and Management JO - International Journal of Natural Resource Ecology and Management SP - 168 EP - 174 PB - Science Publishing Group SN - 2575-3061 UR - https://doi.org/10.11648/j.ijnrem.20200504.14 AB - Competition for grazing resources has been speculated to cause grazing conflicts in Northern Kenya. This study evaluated how pastoral communities compete for seasonal resources leading to grazing conflicts in the region. It was anchored on the theory that competition for limited resources led to livestock movements within and out of conservancies thus triggering conflicts on grazing resources. The study used mixed methods of ecological, remote sensing and social survey design. Purposive sampling was used to select four conservancies out of a population of fifteen, where three of them were community-managed while the fourth was privately owned. Lists of grazing committees were obtained, and systematic sampling used to select a population of 106 respondents. Self-administered questionnaires, focused group discussions and content analysis of literature were used to collect social data. The data was analyzed using Statistical Package for Social Sciences (SPSS) version 26. Ecological and bio-physical data on land-use trends were obtained using remote sensing and analyzed using Quantum GIS. The results established that competition accounted for about 45% of variability of grazing conflicts (R2=0.449). It was found that community conservancies had the greatest effects of competition for forage compared to private conservancies. The results were modelled to determine how competition can predict grazing conflicts in the region. The study recommended further investigations on the effects of other factors contributing to grazing conflicts that were not considered, while building capacity to pastoral communities to adhere to grazing plans in order to stem over-grazing and migrations. VL - 5 IS - 4 ER -
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