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Highway paving in the southwestern Amazon alters long-term trends and drivers of regional vegetation dynamics

机译:亚马逊西南部的高速公路铺路改变了长期趋势并改变了区域植被动态

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摘要

Infrastructure development, specifically road paving, contributes socio-economic benefits to society worldwide. However, detrimental environmental effects of road paving have been documented, most notably increased deforestation. Beyond deforestation, we hypothesize that road paving introduces “unseen” regional scale effects on forests, due to changes to vegetation dynamics. To test this hypothesis, we focus on the tri-national frontier in the southwestern Amazon that has been subject to construction of the Inter-Oceanic Highway (IOH) between 1987 and 2010. We use a long-term remotely sensed vegetation index as a proxy for vegetation dynamics and combine these with field-based socio-ecological data and biophysical data from global datasets. We find 4 areas of shared vegetation dynamics associated with increasing extent of road paving. Applying Dynamic Factor Analysis, an exploratory dimension-reduction time series analysis technique, we identify common trends and covariates in each area. Common trends, indicating underlying unexplained effects, become relatively less important as paving increases, and covariates increase in importance. The common trends are dominated by lower frequency signals possibly embodying long-term climate variability. Human-related covariates become more important in explaining vegetation dynamics as road paving extent increases, particularly family density and travel time to market. Natural covariates such as minimum temperature and soil moisture become less important. The change in vegetation dynamics identified in this study indicates a possible change in ecosystem services along the disturbance gradient. While this study does not include all potential factors controlling dynamics and disturbance of vegetation in the region, it offers important insights for management and mitigation of effects of road paving projects. Infrastructure planning initiatives should make provisions for more detailed vegetation monitoring after road completion, with a broader focus than just deforestation. The study highlights the need to mitigate population-driven pressures on vegetation like family density and access to new markets.
机译:基础设施发展,特别是道路铺装,为全世界的社会带来社会经济利益。但是,已经记录了道路铺路对环境的不利影响,最明显的是森林砍伐加剧。除了森林砍伐,我们假设由于植被动态的变化,铺路会对森林造成“看不见的”区域规模效应。为了验证这一假设,我们集中研究了1987年至2010年间受大洋洲际公路(IOH)建设的西南亚马逊地区的三国边界。我们使用长期遥感植被指数作为替代指标植被动力学,并将其与基于野外的社会生态数据和全球数据集的生物物理数据相结合。我们发现4个区域的植被共享动态与路面铺设程度的增加有关。应用动态因子分析(一种探索性的降维时间序列分析技术),我们可以确定每个区域的共同趋势和协变量。共同的趋势表明潜在的无法解释的影响,随着铺路的增加而变得相对不那么重要,并且协变量的重要性也在增加。常见趋势是低频信号占主导地位,可能体现了长期的气候变化。与人相关的协变量在解释植被动态的过程中变得尤为重要,因为路面铺装程度的增加,尤其是家庭密度和上市时间的增加。自然协变量(例如最低温度和土壤湿度)变得不太重要。在这项研究中确定的植被动态变化表明,生态系统服务可能沿着扰动梯度发生变化。尽管该研究并未包括控制该地区植被动态和扰动的所有潜在因素,但它为管理和减轻道路铺路项目的影响提供了重要的见识。基础设施规划举措应为道路完工后的更详细的植被监测做好准备,而不仅仅是砍伐森林。该研究强调需要减轻人口驱动的植被压力,例如家庭密度和进入新市场的压力。

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