中部干旱牧场关键牧场物种产量的月变化,案例研究:伊朗萨韦马尔卡齐省。

Desert Pub Date : 2020-06-01 DOI:10.22059/JDESERT.2020.78159
S. Zarekia, M. Akbarzadeh, A. Jamali
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引用次数: 0

摘要

牧场的牧草产量在不同的放牧季节和不同年份的同一个月有所不同。在牧场管理项目中,在放牧季节计算一次放牧能力,这与牧场物种的最大产量相吻合。这可能会导致更多的牲畜在放牧季节进入牧场,导致更多的退化。因此,有必要测量几年来放牧季节几个月的牧草产量,在此基础上可以估计关键牧场物种的长期放牧能力。在三年的生长和放牧季节,对Khoshkerood-e-Saveh场地的关键物种,即西贝里蒿、拉里猪笼草和霍赫那克针茅的产量变化进行了调查。为此,在一公顷的围栏内每隔一个月测量每个物种的产量,直到生长休眠。采用SAS软件对风干后的牧草产量进行了分析。结果表明,由于该地区月降水量和年降水量的高度变异性,在P≤5%的水平上,关键品种的牧草产量存在显著差异。最大和最小平均产量(543和388公斤/公顷)分别属于2009年和2008年。根据不同年份的产量波动,建议牧场管理计划考虑良好产量的长期平均值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Monthly variation of production of key range species in central arid rangeland, case study: Saveh-Markazi Province, Iran.
Forage production of rangelands differs during different times of grazing season and in the same month of different years. In range management projects, grazing capacity calculated once during the grazing season, which coincides with the maximum production of rangeland species. This may cause more livestock entry into the rangeland during the grazing season, leading to more degradation. Therefore, it is necessary to measure forage production during the months of grazing season over a few years, based on which the long-term grazing capacity of key range species could be estimated. Production variations of the key species, namely Artemisia sieberi, Salsola laricina, and Stipa hohenackeriana were investigated in Khoshkerood-e-Saveh site in growth and grazing season over the course of three years. For this purpose, the production of each species measured in a one-hectare exclosure with one month intervals until the growth dormancy. After air-drying, forage production was analyzed by SAS software. Based on the results, due to the high variability of monthly and annual precipitation in the region, forage production of key range species had significant differences at P ≤5% level. The maximum and minimum mean production (543 and 388 kg/ha) belonged to 2009 and 2008, respectively. According to the production fluctuation in different years, it is recommended that range management plans account for the long-term average of good production.
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