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Agroforestry management as an adaptive strategy against potential microclimate extremes in coffee agriculture.

机译:农林业管理作为一种适应性策略,可应对咖啡农业中潜在的小气候极端情况。

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Current climate change patterns may cause more extreme and variable climates in the future, threatening agricultural productivity in many areas of the world. Because many smallholder, rural farmers depend on subsistence, rainfed agriculture, priorities should be focused on coping mechanisms that protect these farmers from future vulnerabilities. This paper examines one possible adaptive strategy for coffee agriculture. A high (60-80%), medium (35-65%), and low (10-30%) shade coffee site were chosen in the Soconusco region of Chiapas, Mexico. Microclimate and soil moisture data were collected to examine the ability of shade tree cover in an agroforestry system to protect crop plants against extremes in microclimate and soil moisture fluctuation. Site and site by time effects were analyzed using linear mixed models to compare mean differences of microclimate measurements (temperature, relative humidity, and solar radiation) by site as well as by time of the day. Although there were not large differences in seasonal means for these factors, site by time effects show that temperature, humidity, and solar radiation fluctuations increase significantly as shade cover decreases. Soil data showed significantly larger fluctuations in soil moisture gain and loss in the low shade site respective of patterns of precipitation. Overall, the amount of shade cover was directly related to the mitigation of variability in microclimate and soil moisture for the crop of interest. The use of agroforestry systems is an economically feasible way to protect crop plants from extremes in microclimate and soil moisture and should be considered a potential adaptive strategy for farmers in areas that will suffer from extremes in climate..
机译:当前的气候变化模式可能会在未来引起更加极端和多变的气候,威胁世界许多地区的农业生产力。由于许多小农,农村农民依靠自给自足的雨养农业,因此应将重点放在应对机制上,以保护这些农民免于未来的脆弱性。本文研究了一种可能的咖啡农业适应策略。在墨西哥恰帕斯州的Soconusco地区,选择了高(60-80%),中(35-65%)和低(10-30%)阴凉的咖啡场所。收集了小气候和土壤湿度数据,以检验农林业系统中的遮荫树木保护农作物免受小气候和土壤水分波动的极端影响的能力。使用线性混合模型分析站点和站点的时间影响,以比较站点和一天中的小气候测量值(温度,相对湿度和太阳辐射)的平均差异。尽管这些因素的季节性平均值差异不大,但按时间的地点影响表明,随着遮阳的减少,温度,湿度和太阳辐射的波动会显着增加。土壤数据显示,在不同阴影类型的低荫部位,土壤水分获取和损失的波动较大。总体而言,遮荫的数量与所关注作物的小气候和土壤湿度变化的减轻直接相关。农林业系统的使用是保护农作物免受微气候和土壤水分极端影响的经济可行方法,应被视为对气候极端地区的农民潜在的适应策略。

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