用于退化土壤覆盖生态系统恢复的多物种植物群落

Q3 Agricultural and Biological Sciences OnLine Journal of Biological Sciences Pub Date : 2022-03-01 DOI:10.3844/ojbsci.2022.268.278
A. Nugmanov, S. Mamikhin, K. Valiev, A. Bugubaeva, Asel S. Tokusheva, S. Tulkubaeva, A. Bulaev
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引用次数: 3

摘要

:农业生态学研究基于这样一个概念,即通过了解生态过程,可以管理农业生态系统,以更可持续地生产更多的生物量,从而保护自然资源。农业生态学领域的许多研究表明,一些耕作方法可以通过增加植物生物多样性来改善土壤质量和恢复农业生态系统。用于评估生态系统过程和服务的植物功能特征可用于农业生态系统的可持续管理。本文讨论了在哈萨克斯坦北部干旱草原(科斯塔奈地区)恢复低生物生产力牧场的方法。根据该地区的土壤和气候条件,选择了草和豆类混合物,以提高牧场的生产力。作者还描述了该地区2021年的气象条件。种植混合草的土壤的农业化学分析数据与其他地点的土壤略有不同,甚至在影响植物生产力的一些指标上,即腐殖质、磷和钾含量,往往不如其他地点。在实验条件下,由羽冠麦草-苜蓿-无芒雀麦组成的草和豆类混合物(27.8 c/ha的绿色物质和12.6 c/ha的干物质)显示出最高的生产力。因此,根据研究期间获得的信息,可以得出结论,为了恢复哈萨克斯坦北部牧场的生产力,有必要选择生产力和营养价值最高、适合该地区土壤和气候条件的草和豆类混合物。还以一般形式提出了拟禾本科群落动力学预测模拟模型的算法,并讨论了与土壤覆盖修复有关的问题。
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Poly-Species Phytocenoses for Ecosystem Restoration of Degraded Soil Covers
: Agroecological studies are based on the concept that, by understanding ecological processes, it is possible to manage agroecosystems for more sustainable production of more biomass and, thus, protection of natural resources. Many studies in the field of agroecology show that some farming methods can improve soil quality and restore agroecosystems by increasing plant biodiversity. Functional characteristics of plants for the assessment of ecosystem processes and services can be used for the sustainable management of agroecosystems. The paper discusses ways to restore pastures with low biological productivity in the arid steppe of Northern Kazakhstan (Kostanay region). Grass-and-legume mixtures were selected, according to the soil and climatic conditions of this region, to increase the productivity of pastures. The authors also describe the meteorological conditions in the region in question for 2021. The data of agrochemical analysis of the soil on which the grass mixture was grown differed slightly from the soils of other sites and often even was inferior to them in some indicators that affected plant productivity, namely, the humus, phosphorus, and potassium content. In the conditions of the experiment, the highest productivity was shown by the grass-and-legume mixture consisting of crested wheatgrass- alfalfa -awn less brome (27.8 c/ha of green mass and 12.6 c/ha of dry matter). Thus, according to the information obtained during the study, it can be concluded that to restore the productivity of pastures in Northern Kazakhstan, it is necessary to select the grass-and-legume mixtures that have the highest productivity and nutritional value and are adapted to the soil and climatic conditions of this region. The algorithm of the predictive simulation model of the dynamics of the graminoid community is also presented in a general form. Problems related to the remediation of soil covers are discussed.
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来源期刊
OnLine Journal of Biological Sciences
OnLine Journal of Biological Sciences Agricultural and Biological Sciences-Agricultural and Biological Sciences (all)
CiteScore
2.10
自引率
0.00%
发文量
35
期刊介绍: :: Cell biology :: Developmental biology :: Structural biology :: Microbiology :: Molecular biology & genetics :: Biochemistry :: Biotechnology :: Biodiversity :: Ecology :: Marine biology :: Plant biology :: Bioinformatics
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