Selection of Model Homegardens: Does the District Heterogeneity Classifies the Homegardens?

N. Kuruppuarachchi, L. D. B. Suriyagoda, G. K. N. G. Pushpakumara, G. L. L. P. Silva
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Abstract

Among numerous studies done with homegardens (HGs), few efforts have been drawn up to examine biodiversity, input availability and the influence of the complex environment of households and HGs on its produce. Interventions to improve HGs are generally done within the administrative boundaries of the region and the success of such attempts should be evaluated using appropriate tools. To address this research gap a study was formulated aiming at grouping selected HGs and identifying the variables contributing to grouping; and thereby suggesting the characteristics of a model HG. A HG survey was conducted focusing Ratnapura and Hambantota districts of Sri Lanka. Pooled and separated samples of HGs in the two districts were employed in K-means cluster analysis and the groups obtained were subjected to discriminant function analysis to derive the important variables in discriminating HGs. The HGs in Ratnapura were grouped into three categories and key variables contributing to differentiate those were annual expenditure for HG, labor usage, above ground biomass, disease occurrence, species density of trees, and tree density. There were four groups of HGs in Hambantota and key variables that contributed to their differences were; annual expenditure for HG, pest occurrence, annual income from HG, species density of trees, the total share of produce in HG used for consumption, technical knowledge on farming and land extent. Accordingly, the income-driven and diversity-enhanced components of a HG would make it a model HG achieving maximum productivity. However, due to the heterogeneity of HGs, distinct groups within a district could not be identified, suggesting the inappropriateness of making administrative boundaries-based decisions on the interventions in HGs.
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样板小区的选择:区域异质性是否对小区进行分类?
在对家庭菜园(HGs)进行的众多研究中,很少有人努力审查生物多样性、投入的可用性以及家庭和家庭菜园的复杂环境对其产品的影响。改善温室气体的干预措施一般在该区域的行政边界内进行,应使用适当的工具评估此类尝试的成功程度。为了解决这一研究空白,制定了一项研究,旨在对选定的hg进行分组,并确定有助于分组的变量;从而提出了典型HG的特征。针对斯里兰卡的Ratnapura和Hambantota地区进行了HG调查。采用K-means聚类分析方法对两区合并和分离的hg样本进行聚类分析,并对得到的类群进行判别函数分析,得出判别hg的重要变量。将Ratnapura地区的HG划分为3类,并以年HG支出、人工利用、地上生物量、病害发生、树种密度和树密度为主要变量进行区分。汉班托塔有四组HGs,导致其差异的关键变量是;汞的年支出、有害生物发生情况、汞的年收入、树木的物种密度、用于消费的汞产品的总份额、农业技术知识和土地面积。因此,HG的收入驱动和多样性增强组件将使其成为实现最大生产力的模型HG。然而,由于人类健康目标的异质性,在一个地区内无法确定不同的群体,这表明基于行政边界来决定人类健康目标的干预措施是不合适的。
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