Theobald David M
Conservation Science Partners, Inc., Fort Collins, Colorado, United States of America; Department of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, United States of America.
PLoS One. 2014 Apr 11;9(4):e94628. doi: 10.1371/journal.pone.0094628. eCollection 2014.
Land cover maps reasonably depict areas that are strongly converted by human activities, but typically are unable to resolve low-density but widespread development patterns. Data products specifically designed to resolve land uses complement land cover datasets and likely improve our ability to understand the extent and complexity of human modification. Methods for developing a comprehensive land use classification system are described, and a map of land use for the conterminous United States is presented to reveal what we are doing on the land. The comprehensive, detailed and high-resolution dataset was developed through spatial analysis of nearly two-dozen publicly-available, national spatial datasets--predominantly based on census housing, employment, and infrastructure, as well as land cover from satellite imagery. This effort resulted in 79 land use classes that fit within five main land use groups: built-up, production, recreation, conservation, and water. Key findings from this study are that built-up areas occupy 13.6% of mainland US, but that the majority of this occurs as low-density exurban/rural residential (9.1% of the US), while more intensive built-up land uses occupy 4.5%. For every acre of urban and suburban residential land, there are 0.13 commercial, 0.07 industrial, 0.48 institutional, and 0.29 acres of interstates/highways. This database can be used to address a variety of natural resource applications, and I provide three examples here: an entropy index of the diversity of land uses for smart-growth planning, a power-law scaling of metropolitan area population to developed footprint, and identifying potential conflict areas by delineating the urban interface.
土地覆盖图能够合理地描绘出受人类活动强烈影响的区域,但通常无法解析低密度但分布广泛的发展模式。专门设计用于解析土地利用情况的数据产品对土地覆盖数据集起到了补充作用,并可能提高我们理解人类改造范围和复杂性的能力。本文描述了开发综合土地利用分类系统的方法,并展示了美国本土的土地利用图,以揭示我们在土地上的活动。这个综合、详细且高分辨率的数据集是通过对近二十多个公开可用的国家空间数据集进行空间分析而开发出来的,这些数据集主要基于人口普查住房、就业和基础设施数据,以及卫星图像的土地覆盖数据。这项工作产生了79个土地利用类别,它们归属于五个主要土地利用组:建成区、生产区、娱乐区、保护区和水域。这项研究的主要发现是,建成区占美国本土面积的13.6%,但其中大部分是低密度的郊区/农村住宅用地(占美国面积的9.1%),而更密集的建成区土地利用占4.5%。每英亩城市和郊区住宅用地,对应0.13英亩商业用地、0.07英亩工业用地、0.48英亩公共机构用地以及0.29英亩州际公路/高速公路用地。这个数据库可用于处理各种自然资源应用问题,在此我提供三个例子:用于智能增长规划的土地利用多样性熵指数、大都市区人口与已开发足迹的幂律缩放关系,以及通过划定城市边界来识别潜在冲突区域。