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建立和改进埃塞俄比亚牧场系统。

Modeling and improving Ethiopian pasture systems.

机构信息

DiSAA - Università degli Studi di Milano, via Celoria 2, 20133, Milan, Italy.

Dipartimento di Medicina Molecolare e Traslazionale, Università degli Studi di Brescia, Viale Europa 11, 25123, Brescia, Italy.

出版信息

Int J Biometeorol. 2018 May;62(5):883-895. doi: 10.1007/s00484-017-1492-0. Epub 2018 Jan 3.

DOI:10.1007/s00484-017-1492-0
PMID:29299679
Abstract

The production of pasture in Ethiopia was simulated by means of a dynamic model. Most of the country is characterized by a tropical monsoon climate with mild temperatures and precipitation mainly concentrated in the June-September period (main rainy season). The production model is driven by solar radiation and takes into account limitations due to relocation, maintenance respiration, conversion to final dry matter, temperature, water stress, and nutrients availability. The model also considers the senescence of grassland which strongly limits the nutritional value of grasses for livestock. The simulation for the 1982-2009 period, performed on gridded daily time series of rainfall and maximum and minimum temperature with a resolution of 0.5°, provided results comparable with values reported in literature. Yearly mean yield in Ethiopia ranged between 1.8 metric ton per hectare (t ha) (2002) and 2.6 t ha (1989) of dry matter with values above 2.5 t ha attained in 1983, 1985, 1989, and 2008. The Ethiopian territory has been subdivided in 1494 cells and a frequency distribution of the per-cell yearly mean pasture production has been obtained. This distribution ranges from 0 to 7 t ha and it shows a right skewed distribution and a modal class between 1.5-2 t ha. Simulation carried out on long time series for this peculiar tropical environment give rise to as lot of results relevant by the agroecological point of view on space variability of pasture production, main limiting factors (solar radiation, precipitation, temperature), and relevant meteo-climatic cycles affecting pasture production (seasonal and inter yearly variability, ENSO). These results are useful to establish an agro-ecological zoning of the Ethiopian territory.

摘要

埃塞俄比亚的牧场生产是通过动态模型来模拟的。该国大部分地区属于热带季风气候,温度温和,降水主要集中在 6 月至 9 月(主要雨季)。生产模型由太阳辐射驱动,并考虑到因搬迁、维持呼吸、转化为最终干物质、温度、水分胁迫和养分可用性而产生的限制。该模型还考虑到草原的衰老,这强烈限制了草地对牲畜的营养价值。对 1982 年至 2009 年期间的模拟,在具有 0.5°分辨率的逐日降雨和最高、最低温度的网格化日时间序列上进行,结果与文献中的报告值相当。埃塞俄比亚的年平均产量在 1.8 吨/公顷(2002 年)和 2.6 吨/公顷(1989 年)之间,其中 1983 年、1985 年、1989 年和 2008 年的干物质产量超过 2.5 吨/公顷。埃塞俄比亚领土被细分为 1494 个单元格,并获得了每个单元格的年平均牧场产量的频率分布。该分布范围从 0 到 7 吨/公顷,呈右偏分布,模态类在 1.5-2 吨/公顷之间。在这种特殊的热带环境下,对长时间序列进行模拟会产生大量与牧场生产的空间变异性、主要限制因素(太阳辐射、降水、温度)以及影响牧场生产的相关气象气候周期(季节性和年际变异性、ENSO)相关的结果,这些结果有助于建立埃塞俄比亚领土的农业生态分区。

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