首页> 外文期刊>Global Journal of Agricultural Sciences >Wetland use and resource degradation among small-scale farmers in Cross River State, Nigeria.
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Wetland use and resource degradation among small-scale farmers in Cross River State, Nigeria.

机译:尼日利亚克罗斯河州小农户的湿地利用和资源退化。

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摘要

The paper examines the significance of wetland ecosystems to the socio-economic life of smallholders in Cross River State, and the relationship between socio-economic factors and wetland degradation. A multi-stage sampling procedure was used in selecting respondents for the study. Data for this study was analyzed using descriptive statistics such as means, percentages, frequency distribution and regression analysis. Findings revealed that farming was the major occupation of respondents while trading was the major complementary activity. There was evidence of increasing intensity of land use, with 51 percent of the respondents indicating 0-2 years of fallow. The wetland sector provided 80 percent employment to smallholders whereas other sectors/activities provided 20 percent. The result of the regression analysis based on Linear regression model showed that farm size, household size, respondent's age, fallow period and level of education were all significant determinants of wetland degradation. R squared value of 0.877 implied that 88% of the variations in wetland degradation was explained by the independent variables. The adjusted R squared and Standard Error of the estimate were 86% and 6.78 respectively. The model was significant at 1% probability level. Lack of credit, lack of access to inputs and deforestation were amongst the most severe problems. The study recommends that diversification of income sources through the creation of alternative means of livelihood will help reduce pressure on wetland ecosystems and subsequently reduce wetland degradation.
机译:本文研究了湿地生态系统对克罗斯河州小农户社会经济生活的意义,以及社会经济因素与湿地退化之间的关系。在选择研究对象时使用了多阶段抽样程序。使用描述性统计数据(例如平均值,百分比,频率分布和回归分析)分析了本研究的数据。调查结果表明,农业是受访者的主要职业,而贸易则是主要的补充活动。有证据表明土地利用强度在增加,有51%的受访者表示休耕0至2年。湿地部门为小农提供了80%的就业,而其他部门/活动则提供了20%。基于线性回归模型的回归分析结果表明,农场规模,家庭规模,受访者的年龄,休耕期和受教育程度都是湿地退化的重要决定因素。 R平方值为0.877意味着88%的湿地退化变化是由自变量解释的。估计值的调整后R平方和标准误分别为86%和6.78。该模型在1%的概率水平上具有显着性。最严重的问题之一是缺乏信贷,缺乏获取投入物和毁林的机会。该研究建议,通过创造替代生计手段来实现收入来源的多样化,将有助于减轻对湿地生态系统的压力,从而减少湿地退化。

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