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基于香蕉-咖啡种植系统的小农户数据集,包含农户、农业生产及有机农场废弃物利用的数据。

Data set of smallholder farm households in banana-coffee-based farming systems containing data on farm households, agricultural production and use of organic farm waste.

作者信息

Reetsch Anika, Schwärzel Kai, Kapp Gerald, Dornack Christina, Masisi Juma, Alichard Leinalida, Robert Harriet, Byamungu Godson, Rocha Joana Lapão, Stephene Shadrack, Frederick Baijukya, Feger Karl-Heinz

机构信息

Institute for Integrated Management of Material Fluxes and of Resources (UNU-FLORES), United Nations University, Ammonstr. 74, 01067 Dresden, Germany.

Faculty of Environmental Sciences, Institute of Soil Science and Site Ecology, Chair of Site Ecology and Plant Nutrition, Technische Universität Dresden, Pienner Str. 19, 01735 Tharandt, Germany.

出版信息

Data Brief. 2021 Feb 16;35:106833. doi: 10.1016/j.dib.2021.106833. eCollection 2021 Apr.

DOI:10.1016/j.dib.2021.106833
PMID:33718539
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7920793/
Abstract

The data was collected in the Karagwe and Kyerwa districts of the Kagera region in north-west Tanzania. It encompasses 150 smallholder farming households, which were interviewed on the composition of their household, agricultural production and use of organic farm waste. The data covers the two previous rainy seasons and the associated vegetation periods between September 2016 and August 2017. The knowledge of experts from the following institutions was included in the discussion on the selection criteria: two local non-profit organisations, i.e., WOMEDA and the MAVUNO Project; the International Institute of Tropical Agriculture (IITA); and the National Land Use Planning Commission (NLUPC). Households were selected for inclusion if all of the following applied to them: 1) less than 10 acres of land (4.7 ha) registered in the village offices, 2) no agricultural training, and 3) decline in the fertility of their land since they started farming (self-reported). We selected 150 smallholder households out of a pool of 5,000 households known to WOMEDA in six divisions of the Kyerwa and Karagwe districts. The questionnaire contained 54 questions. The original language of the survey was Kiswahili. All interviews were audio recorded. The answers were digitalised and translated into English. The data set contains the raw data with 130 quantitative and qualitative variables. For quantitative variables, the only analysis that was made was the conversion of units, e.g., land area was converted from acres to hectares, harvest from buckets to kilograms and then to tons, and heads of livestock to Tropical Livestock Units (TLU). Qualitative variables were summarised into categories. All data has been anonymised. The data set includes geographical variables, household information, agricultural information, gender-specific responsibilities, economic data, farm waste management, and water, energy and food availability (Water-Energy-Food (WEF) Nexus). Variables are written in italics. The following geographical variables are part of the data set: and . Household information includes and Agricultural information includes and and Gender-specific responsibilities includes and and and and and and and Economic data includes employed by the household and assets such as . Variables relevant to the WEF Nexus are and and . Variables on farm waste management are the and and and The data can be potentially reused and further developed for the purpose of agricultural production analysis, socio-economic analysis, comparison to other regions, conceptualisation of waste and nutrient management, establishment of land use concepts, and further analysis on food security and healthy diets.

摘要

数据收集于坦桑尼亚西北部卡盖拉地区的卡拉圭和凯尔瓦区。该数据涵盖150个小农户,对他们进行了关于家庭构成、农业生产以及有机农场废弃物使用情况的访谈。数据涵盖了2016年9月至2017年8月之前的两个雨季以及相关的植被生长时期。以下机构专家的知识被纳入了关于选择标准的讨论:两个当地非营利组织,即WOMEDA和马武诺项目;国际热带农业研究所(IITA);以及国家土地利用规划委员会(NLUPC)。如果以下所有条件都适用于某个家庭,则该家庭被选入:1)在村办公室登记的土地面积少于10英亩(4.7公顷);2)没有接受过农业培训;3)自开始务农以来土地肥力下降(自我报告)。我们从WOMEDA在凯尔瓦和卡拉圭区六个分区已知的5000个家庭中挑选了150个小农户家庭。问卷包含54个问题。调查的原始语言是斯瓦希里语。所有访谈都进行了录音。答案被数字化并翻译成英语。数据集包含带有130个定量和定性变量的原始数据。对于定量变量,仅进行了单位转换分析,例如,土地面积从英亩转换为公顷,收成从桶转换为千克再转换为吨,牲畜头数转换为热带牲畜单位(TLU)。定性变量被归纳为类别。所有数据都已匿名化。数据集包括地理变量、家庭信息、农业信息、按性别划分的职责、经济数据、农场废弃物管理以及水、能源和食物可得性(水 - 能源 - 食物(WEF)关系)。变量用斜体书写。以下地理变量是数据集的一部分: 和 。家庭信息包括 和 农业信息包括 和 和 按性别划分的职责包括 和 和 和 和 和 和 和 经济数据包括家庭雇佣情况以及诸如 等资产。与WEF关系相关的变量是 和 和 。关于农场废弃物管理的变量是 和 和 和 该数据有可能被重新利用并进一步开发,用于农业生产分析、社会经济分析、与其他地区的比较、废弃物和养分管理的概念化、土地利用概念的建立以及关于粮食安全和健康饮食的进一步分析。

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