The negative effect of soil erosion and soil compaction is well documented for the purpose of optimum rangeland functioning, while the impact of rangeland degradation on effective soil depth is seldom quantified. The ...The negative effect of soil erosion and soil compaction is well documented for the purpose of optimum rangeland functioning, while the impact of rangeland degradation on effective soil depth is seldom quantified. The aim of this study was to quantify the response of vegetation cover and soil properties, particularly effective soil depth and soil texture to rangeland degradation. Forty-one farms were sampled in the arid and semi-arid climate of South Africa. Within these farms, data was collected over a vegetation degradation gradient. Results showed a significant decline in relative basal cover (94% ± 15% to 39% ± 17%) and soil depth (90% ± 14% to 73% ± 24%) as rangeland degraded. Soil texture changes over the degradation gradients vary for different homogeneous vegetation types. Indications regarding the loss of a functioning rangeland ecosystem were also demonstrated, using objective long-term relations between rangeland conditions and grazing capacity. The study highlights the importance of sustainable rangeland management practices to reduce the loss in effective soil depth and to ensure the sustainable utilization of the rangeland ecosystem. These results can probably extrapolate to other arid and semi-arid rangelands worldwide.展开更多
<span style="font-family:Verdana;">This study presents an integrated examination of livestock production constraints associating with communal farming in six district municipalities (DMs) of the Easter...<span style="font-family:Verdana;">This study presents an integrated examination of livestock production constraints associating with communal farming in six district municipalities (DMs) of the Eastern Cape Province. We collected data on demographic and socio-economic factors from 271 farmers randomly given questionnaires. About 26 Land Redistribution for Agricultural Development (LRAD) owned by communal farmers were surveyed to ascertain the condition of grazing land, meanwhile, tick species and distribution on cattle and goats found in 158 sampling sites of the study area were also recorded. From the results, a total of 34,929 adult ticks belonging to five genera and 10 species were encountered. The most abundant tick genera were </span><i><i><span style="font-family:Verdana;">Rhipicephalus</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> of the subgenus <i></i></span><i><i><span style="font-family:Verdana;">Boophilus</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> (68.91%), <i></i></span><i><i><span style="font-family:Verdana;">Amblyomma</span></i><span style="font-family:Verdana;"></span></i> <span style="font-family:Verdana;">(20.72%), <i></i></span><i><i><span style="font-family:Verdana;">Hyalomma</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> (8.64%), <i></i></span><i><i><span style="font-family:Verdana;">Ixodes</span></i><span style="font-family:Verdana;"></span></i> <span style="font-family:Verdana;">(1.22%), and <i></i></span><i><i><span style="font-family:Verdana;">Haemaphysalis</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> (0.51%). By geographic distributions, <i></i></span><i><i><span style="font-family:Verdana;">Amblyomma</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> and <i></i></span><i><i><span style="font-family:Verdana;">Rhipicephalus</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> were common to all DMs, while <i></i></span><i><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;">.</span> <i><span style="font-family:Verdana;">microplus</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> and <i></i></span><i><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;">.</span> <i><span style="font-family:Verdana;">decoloratus</span></i><span style="font-family:Verdana;"></span></i> <span style="font-family:Verdana;">were found in the drier regions</span><span style="font-family:Verdana;">. </span><span style="font-family:Verdana;">From the map plotted for 16 custom feeding centers, lack of marketing channels (23%), poor animal conditions (20%), lack of infrastructure (19%), high price of medicine (14%), shortage of feed (10%), stock theft (8%), and age of animals (too old) to be marketed (6%) are the major shortcomings in red meat production. We found that the associations between gender (</span><i><span style="font-family:Verdana;">χ</span></i><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> = 31.3481, <i></i></span><i><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> < 0.0001), age (</span><i><span style="font-family:Verdana;">χ</span></i><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> = 32.4889, <i></i></span><i><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> < 0.0001), and farming experience (</span><i><span style="font-family:Verdana;">χ</span></i><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> = 52.7556, <i></i></span><i><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> < 0.0001) were significantly (<i></i></span><i><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> < 0.05) higher. Additionally, we found that farming commodities were significantly influenced by gender and farming experience. From the surveyed LRAD farms, we observed a higher proportion of increaser II grass species in Alfred Nzo (55.6%), Amathole (53.9%), and Chris Hani (46.4%) DMs. On the other hand, the decreaser grass species were few in Alfred Nzo (16.5%), Amathole (13.8%), and Chris Hani (21.8%). Inferences from the data indicate the need for government and stakeholders’ intervention to farmers through the provision of infrastructures, marketing channels, and training on livestock based programs.</span>展开更多
文摘The negative effect of soil erosion and soil compaction is well documented for the purpose of optimum rangeland functioning, while the impact of rangeland degradation on effective soil depth is seldom quantified. The aim of this study was to quantify the response of vegetation cover and soil properties, particularly effective soil depth and soil texture to rangeland degradation. Forty-one farms were sampled in the arid and semi-arid climate of South Africa. Within these farms, data was collected over a vegetation degradation gradient. Results showed a significant decline in relative basal cover (94% ± 15% to 39% ± 17%) and soil depth (90% ± 14% to 73% ± 24%) as rangeland degraded. Soil texture changes over the degradation gradients vary for different homogeneous vegetation types. Indications regarding the loss of a functioning rangeland ecosystem were also demonstrated, using objective long-term relations between rangeland conditions and grazing capacity. The study highlights the importance of sustainable rangeland management practices to reduce the loss in effective soil depth and to ensure the sustainable utilization of the rangeland ecosystem. These results can probably extrapolate to other arid and semi-arid rangelands worldwide.
文摘<span style="font-family:Verdana;">This study presents an integrated examination of livestock production constraints associating with communal farming in six district municipalities (DMs) of the Eastern Cape Province. We collected data on demographic and socio-economic factors from 271 farmers randomly given questionnaires. About 26 Land Redistribution for Agricultural Development (LRAD) owned by communal farmers were surveyed to ascertain the condition of grazing land, meanwhile, tick species and distribution on cattle and goats found in 158 sampling sites of the study area were also recorded. From the results, a total of 34,929 adult ticks belonging to five genera and 10 species were encountered. The most abundant tick genera were </span><i><i><span style="font-family:Verdana;">Rhipicephalus</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> of the subgenus <i></i></span><i><i><span style="font-family:Verdana;">Boophilus</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> (68.91%), <i></i></span><i><i><span style="font-family:Verdana;">Amblyomma</span></i><span style="font-family:Verdana;"></span></i> <span style="font-family:Verdana;">(20.72%), <i></i></span><i><i><span style="font-family:Verdana;">Hyalomma</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> (8.64%), <i></i></span><i><i><span style="font-family:Verdana;">Ixodes</span></i><span style="font-family:Verdana;"></span></i> <span style="font-family:Verdana;">(1.22%), and <i></i></span><i><i><span style="font-family:Verdana;">Haemaphysalis</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> (0.51%). By geographic distributions, <i></i></span><i><i><span style="font-family:Verdana;">Amblyomma</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> and <i></i></span><i><i><span style="font-family:Verdana;">Rhipicephalus</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> were common to all DMs, while <i></i></span><i><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;">.</span> <i><span style="font-family:Verdana;">microplus</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> and <i></i></span><i><i><span style="font-family:Verdana;">R</span></i><span style="font-family:Verdana;">.</span> <i><span style="font-family:Verdana;">decoloratus</span></i><span style="font-family:Verdana;"></span></i> <span style="font-family:Verdana;">were found in the drier regions</span><span style="font-family:Verdana;">. </span><span style="font-family:Verdana;">From the map plotted for 16 custom feeding centers, lack of marketing channels (23%), poor animal conditions (20%), lack of infrastructure (19%), high price of medicine (14%), shortage of feed (10%), stock theft (8%), and age of animals (too old) to be marketed (6%) are the major shortcomings in red meat production. We found that the associations between gender (</span><i><span style="font-family:Verdana;">χ</span></i><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> = 31.3481, <i></i></span><i><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> < 0.0001), age (</span><i><span style="font-family:Verdana;">χ</span></i><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> = 32.4889, <i></i></span><i><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> < 0.0001), and farming experience (</span><i><span style="font-family:Verdana;">χ</span></i><sup><span style="font-family:Verdana;">2</span></sup><span style="font-family:Verdana;"> = 52.7556, <i></i></span><i><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> < 0.0001) were significantly (<i></i></span><i><i><span style="font-family:Verdana;">p</span></i><span style="font-family:Verdana;"></span></i><span style="font-family:Verdana;"> < 0.05) higher. Additionally, we found that farming commodities were significantly influenced by gender and farming experience. From the surveyed LRAD farms, we observed a higher proportion of increaser II grass species in Alfred Nzo (55.6%), Amathole (53.9%), and Chris Hani (46.4%) DMs. On the other hand, the decreaser grass species were few in Alfred Nzo (16.5%), Amathole (13.8%), and Chris Hani (21.8%). Inferences from the data indicate the need for government and stakeholders’ intervention to farmers through the provision of infrastructures, marketing channels, and training on livestock based programs.</span>