A.A Adewumi; E.O Famubo ; E.E Ofuya; M.K.A Wahab
Abstract
Grasscutters (Thryonomys swinderianus) are domesticated for meat, income generation, and other conservational purposes. This study focused on the socio economic characteristics of grasscutters raised in captivity and the profitability of its farming in Osun and Oyo state. Data were collected ...
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Grasscutters (Thryonomys swinderianus) are domesticated for meat, income generation, and other conservational purposes. This study focused on the socio economic characteristics of grasscutters raised in captivity and the profitability of its farming in Osun and Oyo state. Data were collected through direct observation of the farms and the use of structured questionnaire. Three (3) grass cutter farms each were randomly selected in Osun and Oyo state. Data was analyzed using multiple regression analysis. The results shows that majority (74.7%) of the respondents were male and married (66.7%). Ages 31-40 were more involved in the business and religion is not a barrier in raising the animal. Grass cutter farming proved to be a profitable business venture in both states; Oyo state NFI (NET FARM INCOME) = TR-TC which is 10,291,400 - 2,948,600 = 7,342,800, While in Osun state NFI=TR-TC = 23,205,500-3,264,500. However, low level of veterinary care, high rate of disease infection and marketing of the animals are the major constraint affecting grass cutter business in the study area. The study therefore concluded that grass cutter rearing is a profitable business and recommends that researchers should work more on the diseases affecting the grass cutter and the government should create training programmes for interested grass cutter farmers.
Ali Asghar Naghipour; Mohammad Reza Ashrafzadeh; Maryam Haidarian
Abstract
Species distributions models (SDMs) are increasingly used to predict species' potential range shift or extinction risk in response to future climate change. Here, we used the ensemble predictions of the models in order to estimate the impact of climate change on the geographical distribution of Juniperus ...
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Species distributions models (SDMs) are increasingly used to predict species' potential range shift or extinction risk in response to future climate change. Here, we used the ensemble predictions of the models in order to estimate the impact of climate change on the geographical distribution of Juniperus excelsa M. Bieb. in Chaharmahal va Bakhtiari province in the Central Zagros region, Iran. We projected climate change impacts for 2050 based on four scenarios of the increase in the greenhouse gases in the general circulation model MRI-CGCM3. We then used the bioclimatic and topographic variables to create a model ensemble from six different SDM algorithms including Generalized Linear Model (GLM), Flexible Discriminant Analysis (FDA), Artificial Neural Network (ANN), Generalized Boosting Method (GBM), Multivariate Adaptive Regression Splines (MARS), and Random Forest (RF). The findings indicated that 26.5% of the study area (4393.98 km2) is suitable for the J. excelsa. Annual precipitation, slope and Isothermality had the highest overall contribution to model performance. Based on the different climate change scenarios, 36.63% to 77.63% of the species' suitable habitats will be loss by 2050. These results can provide reliable information on preparing adaptive responses for the sustainable management of the species.
Gatluak Gatkoth Rolkier Rolkier
Abstract
The Nile lechwe is restricting to very limited areas in the wetlands of Republic of South Sudan and along the flood plains or Alewero swamp of Gambella National Park. The objective of this study is to review the literatures that are related to the current status of Nile lechwe in Gambella National Park. ...
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The Nile lechwe is restricting to very limited areas in the wetlands of Republic of South Sudan and along the flood plains or Alewero swamp of Gambella National Park. The objective of this study is to review the literatures that are related to the current status of Nile lechwe in Gambella National Park. The results of this review both for wet and dry seasons indicated that the Nile lechwe is non-migratory species of Gambella National Park. Its relevance habitat type in Gambella National Park is Alewero swamp and Sudd of Nile in South Sudan. Its home range in Gambella National Park is estimated to be 49km2.
Hayedeh Tabasian; Asghar Abdoli; Hussein Valikhani; Milad Khosravi; Simin Dehghan Madiseh
Abstract
The cichlid species, Coptodon zillii (Gervais, 1848) is one of the invasive tilapia species, but little is known about its ecological and socio-economic effects on freshwater ecosystems. This study aims to understand socio-economic impacts by considering the ecological roots of the invasion success of ...
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The cichlid species, Coptodon zillii (Gervais, 1848) is one of the invasive tilapia species, but little is known about its ecological and socio-economic effects on freshwater ecosystems. This study aims to understand socio-economic impacts by considering the ecological roots of the invasion success of C. zillii in one of the internationally important wetlands, Shadegan Wetland in Khuzestan province, southwest of Iran. For this purpose, the impact of the species occurrence on the local fishing communities and the feeding habits of the fish, which may affect the ecosystem of the wetland, were studied from October 2015 to September 2016. The redbelly tilapia has been observed in large numbers in the daily catchment of fishermen and due to its low price, it has greatly decreased their income. Because of the herbivorous diet, redbelly tilapia might cause ecosystem changes that adversely affect the native species, especially the commercially important fish. The unwillingness of fishermen to catch this fish makes it hard to physically remove it and then to control the population growth. Thus, it is possible to reduce its population by using incentives and creating new uses for this species, such as fertilizer production, which for this study presents a new method in this regard.
Elham Latifi; Azadeh Kazemi; Setareh Soheili
Abstract
One of the most efficient relationships between industry and agriculture is to construct Processing industries in villages. Spatial Planning due to uneven Geographical Distribution of Activities and services, can achieve even geographical distribution of activities, resolving overpopulation, filling ...
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One of the most efficient relationships between industry and agriculture is to construct Processing industries in villages. Spatial Planning due to uneven Geographical Distribution of Activities and services, can achieve even geographical distribution of activities, resolving overpopulation, filling voids, reduction in migration from village to city and in general grasping even distribution of human population on land. In this study, multi-criteria decision-making methods (ANP and GIS) are used to locate and prioritize processing industries in Markazi province. Criteria are valued and weighted by Network Analysis and through “Super Decisions” program. By determination of criteria weights maps is rendered in GIS and reported. Final map is categorized in 1-9 fashion in which 9 represents the most desirable location for processing industries environmentally and 1 represents the least in that manner.
SRLS will follow