半干旱热带地区农业可持续性的时空方面:肯尼亚东部Mbeere地区的案例研究

Tropical Science Pub Date : 2007-09-01 DOI:10.1002/TS.207
D. Onduru, C. C. Preez
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引用次数: 14

摘要

在肯尼亚东部半干旱的Mbeere地区进行了一项研究,以确定作物产量和气候因素的时空变异及其对半干旱农业可持续性的影响。通过对农田作物产量进行调查,并利用计算机模型(QUEFTS)根据土壤化学指标预测玉米产量,对空间方面进行了评估。使用时间序列数据(降雨、温度和作物产量)研究时间方面。该研究没有发现农民的实际产量与QUEFTS预测之间存在显著相关性,因此土壤养分不是影响研究区域玉米产量的唯一因素。在QUEFTS模型中没有考虑到的其他减产因素(气候和管理)也发挥了作用。主粮作物产量变化较大,时空波动较大,属于次优产量。在决定作物产量方面,降雨的特定方面(例如,豇豆和豆类的短雨)比年平均降雨量更重要,而降雨量和土壤肥力以外的因素显然也起了作用。观测到的低粮食产量、大产量缺口和高降雨变率对这些耕作系统的可持续性构成挑战。版权所有©2008 John Wiley & Sons, Ltd
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial and temporal aspects of agricultural sustainability in the semi‐arid tropics: a case study in Mbeere district, Eastern Kenya
A study was conducted in the semi-arid Mbeere district, Eastern Kenya, to determine spatial and temporal variability of crop yields and climatic factors and their impacts on sustainability of semi-arid agriculture. Spatial aspects were assessed by conducting a survey of on-farm crop yields and using a computer model (QUEFTS) to predict maize yields from soil chemical indices. Temporal aspects were studied using time-series data (rainfall, temperature and crop yields). The study did not find a significant correlation between farmers' actual yields and QUEFTS predictions, and soil nutrients were thus not the only factors influencing maize yields in the study area. Other yield-reducing factors (climate and management) not accounted for in the QUEFTS model played a role. Grain yields of staple food crops were highly variable, fluctuating in time and space, and suboptimal. Particular aspects of rainfall (e.g. the short rains, for cowpeas and beans) were more important than mean annual rainfall in determining crop yields, and factors other than rainfall and soil fertility apparently played a role. The observed low grain yields, large yield gaps and high rainfall variability challenge the sustainability of these farming systems. Copyright © 2008 John Wiley & Sons, Ltd
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