土地利用管理对土地退化的影响——以伊朗戈列斯坦省喀什达尔盆地为例

Mohammadreza Parsamehr
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摘要

土地资源的压力越来越大,存在许多利益竞争。然而,不可持续的农业扩张和城市化仍然是土地资源枯竭的主要驱动力。对陡坡农田进行适当的土地利用管理,可以减少农耕的破坏性影响。本文的主要目的是展示土地利用管理对土壤侵蚀的作用。在前南斯拉夫开发的EPM经验模型是估算土壤侵蚀和输沙量的适用模型之一。在这个模型的帮助下,可以检查由于不同土地管理方法的应用而导致的侵蚀率的变化。为了达到本研究的目的,选取了伊朗戈列斯坦省的喀什达尔流域。在需要的区域内确定EPM模型所需的图和参数,并借助Arc-Gis软件,根据模型中的关系式和方程,计算出喀什达尔流域的土壤流失量。计算了雨养农业和农林业两种不同经营模式下的土壤侵蚀速率。研究结果表明,将坡地旱作改为农林业可以减少70%的水土流失。由于不良的土地利用方式造成了广泛的资源退化,因此迫切需要可持续的土地管理做法。预计气候变化的影响将进一步加剧这种情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Role of Land Use Management on Land Degradation: The Case Study of Kashidar Basin in Golestan Province, Iran
Land resources are increasingly under pressure and there are many competing interests. However, unsustainable agricultural expansion and urbanization remain the main driving forces in land resource depletion. Suitable land use management on steep slope farmlands can decrease the destructive effects of farming. The main aim of this paper is showing the role of land use management on soil erosion. The EPM empirical model which developed in former Yugoslavia is one of the applicable models for estimating soil erosion and sediment delivery. With the help of this model, changes in the rate of erosion due to the application of different land management methods can be examined. In order to achieve the objectives of this study, Kashidar watershed in Golestan province -Iran was selected. The required maps and parameters of EPM model were determined in the desired area and with the help of Arc-Gis software, the relations and equations presented in this model, the amount of soil erosion in Kashidar watershed was calculated. The rate of soil erosion was calculated under two different management scenarios of rain fed agriculture and agroforestry system. The results of this study shows that changing the land use from dry farming on steep slope to agroforestry can decrease the soil erosion up to 70 percent. Sustainable land management practices are urgently required because of widespread resource degradation from poor land use practices. Climate change impacts are expected to further aggravate the situation.
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