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Livestock Settlement Dynamics in Drylands: Model application in the Monte desert (Mendoza, Argentina)

机译:Drylands的牲畜结算动态:蒙特沙漠中的模型应用(Mendoza,阿根廷)

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Human settlements in arid environments are becoming widespread due to population growth, and without planning, they may alter vegetation and ecosystem processes, compromising sustainability. We hypothesize that in an arid region of the central Monte desert (Mendoza, Argentina), surface and groundwater availability are the primary factors controlling livestock settlements establishment and success as productive units, which affect patterns of degradation in the landscape. To evaluate this hypothesis we simulated settlement dynamics using a Monte Carlo based model of Settlement Dynamics in Drylands (SeDD), which calculates probabilities on a gridded region based on six environmental factors: groundwater depth, vegetation type, proximity to rivers, paved road, old river beds, and existing settlements. A parameter sweep, including millions of simulations, was run to identify the most relevant factors controlling settlements. Results indicate that distances to rivers and the presence of old river beds are critical to explain the current distribution of settlements, while vegetation, paved roads, and water table depth were not as relevant to explain settlement distribution. Far from surface water sources, most settlements were established at random, suggesting that pressures to settle in unfavorable places control settlement dynamics in those isolated areas. The simulated vegetation, which considers degradation around livestock settlements, generally matched the spatial distribution of remotely sensed vegetation classes, although with a higher cover of extreme vegetation classes. The model could be a useful tool to evaluate effects of land use changes, such as water provision or changes on river flows, on settlement distribution and vegetation degradation in arid environments. (C) 2017 Elsevier B.V. All rights reserved.
机译:由于人口增长,而无需规划,干旱环境中的人类住区变得普遍,可能会改变植被和生态系统流程,损害可持续性。我们假设在中央蒙特沙漠(Mendoza,阿根廷)的干旱地区,地表和地下水可用性是控制畜牧定居点建立和成功作为生产单位的主要因素,这影响了景观中的降解模式。评估该假设,我们使用旱地(SEDD)中的蒙特卡罗基于沉降动态模型模拟了结算动态,这计算了基于六个环境因素的网格地区的概率:地下水深度,植被类型,河流接近河流,铺砌的道路,旧河床和现有的定居点。运行参数扫描,包括数百万模拟,以确定控制定居点的最相关因素。结果表明,对河流的距离和旧河床的存在对于解释目前的定居点分布至关重要,而植被,铺砌的道路和水台面深度与解释沉降分布不相关。远离地表水源,大多数沉降是随机建立的,这表明在孤立地区的不利地方控制结算动态中的压力。考虑到牲畜沉降周围的劣化的模拟植被通常与远程感测植被类的空间分布相匹配,尽管具有较高的极端植被课程。该模型可以是评估土地利用变化的效果的有用工具,例如河流流动的水提供或变化,在干旱环境中的结算分布和植被降解。 (c)2017 Elsevier B.v.保留所有权利。

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