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Critical distances: comparing measures of spatial accessibility in the riverine landscapes of Peruvian Amazonia.

机译:临界距离:比较秘鲁亚马逊河沿河景观的空间可及性。

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Quantitative measures of accessibility are increasingly used in land cover change modeling and in assessing human pressure on the environment. In riverine Amazonia the significance of physical accessibility for biodiversity, land use patterns and economic livelihoods is widely acknowledged, but attempts to quantify accessibility in practice have been few in number. In this study we compare different distance- and frequency-based measures of spatial accessibility and develop a quantitative model of accessibility patterns for the north-eastern Peruvian Amazonia where rivers form the core of the transportation network. We model accessibility between the rural areas of the Loreto region and the capital city of Iquitos, using different distance algorithms in a geographic information system, and complement the distance model with information on river boat frequencies and transport capacities. Patterns of accessibility are visualized in terms of potential production zones for different types of agricultural and non-timber forest products. This study demonstrates how results from different accessibility measures vary considerably. The mean Euclidean distance to Iquitos is almost 270 km, the mean network distance nearly 760 km and the mean travel time 70 h. Observed network distances from validation points to Iquitos are on average 1.6 times longer than Euclidean distances, and for the whole study area, the average ratio between modeled network distances and Euclidean distances is 3.1. The correlation between network distances and time distances is very strong, but time distances are relatively shorter along the major channels where boat traffic is considerably faster than along narrow, tightly meandering rivers. Measures of boat frequency and transport capacity show that availability of transport possibilities is highly varying across the region. These measures provide insights into the 'thickness' of trade, indicating the level of market integration for riverine settlements. We conclude that quantifying accessibility in an environment like Peruvian Amazonia requires measures that take into account the spatial structure and dynamic nature of the riverine transportation network. Time as a unit of distance provides the most relevant measure of accessibility in the Amazonian context, where many human actions and traditional livelihoods are controlled by travel times between the regional core and the hinterland.
机译:可及性的定量测量越来越多地用于土地覆被变化建模和评估人类对环境的压力。在亚马孙河流域,人们广泛认识到自然可及性对生物多样性,土地利用方式和经济生计的重要性,但在实践中对可及性进行量化的尝试很少。在这项研究中,我们比较了不同的基于距离和频率的空间可及性度量,并开发了秘鲁东北亚亚马逊地区的可及性模式定量模型,那里的河流构成了交通网络的核心。我们使用地理信息系统中的不同距离算法,对洛雷托地区农村地区和首府伊基托斯之间的可达性进行建模,并用有关河船频率和运输能力的信息对距离模型进行补充。根据不同类型的农业和非木材林产品的潜在生产区,可视化了可及性模式。这项研究表明了不同的可访问性度量的结果如何显着不同。到伊基托斯的平均欧几里得距离为270 km,平均网络距离为760 km,平均旅行时间为70 h。从验证点到伊基托斯的观测网络距离平均是欧几里得距离的1.6倍,对于整个研究区域,模型化网络距离与欧几里得距离的平均比值为3.1。网络距离和时间距离之间的相关性非常强,但是沿着主要通道的时间距离相对较短,在这些主要通道上,船流量要比狭窄且曲折的河流快得多。船只频率和运输能力的度量表明,该地区运输可能性的可用性差异很大。这些措施提供了对贸易“厚度”的见解,表明了河流定居点的市场整合水平。我们得出结论,在像秘鲁亚马逊河这样的环境中量化可达性要求采取的措施应考虑到河流运输网络的空间结构和动态性质。在亚马逊地区,以距离为单位的时间提供了最相关的可达性度量标准,在这里,许多人类行为和传统生计都受到区域核心与内地之间旅行时间的控制。

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