穿越时空的人均土地利用:史前土地利用重建的新数据库

Land Pub Date : 2024-07-26 DOI:10.3390/land13081144
Chad Hill, Marco Madella, N. Whitehouse, Carolina Jiménez-Arteaga, Emily Hammer, J. Bates, Lynn Welton, S. Biagetti, Johanna Hilpert, Kathleen D. Morrison
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摘要

通常用于气候建模的人为土地覆被变化(ALCC)模型往往采用相对简单的人类与环境互动模型。这些模型历来依赖于对支持一个人所需面积的时间和空间变化的不成熟假设:人均土地利用(PCLU)。为了帮助完善 ALCC 模型,我们利用一系列数据源建立了一个新的数据库,试图汇集具有显著时间深度和全球视角的 PCLU 数据。这个新数据库可以为我们理解不同时期和地区之间土地利用的变化提供新的细微差别,这些数据将广泛适用于对过去人类土地利用和现在土地利用变化的持续研究,并有望帮助改进现有的 ALCC 模型。本报告提供了一个实例,说明新的 PCLU 数据对绘制公元前 6000 年中东地区土地利用图的潜在影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Per Capita Land Use through Time and Space: A New Database for (Pre)Historic Land-Use Reconstructions
Anthropogenic land cover change (ALCC) models, commonly used for climate modeling, tend to utilize relatively simplistic models of human interaction with the environment. They have historically relied on unsophisticated assumptions about the temporal and spatial variability of the area needed to support one person: per capita land use (PCLU). To help refine ALCC models, we used a range of data sources to build a new database that attempts to bring together PCLU data with significant time depth and a global perspective. This new database can provide new nuance for our understanding of the variability in land use among and between time periods and regions, data that will have wide applicability for continued research into past human land use and present land-use change, and can hopefully help improve existing ALCC models. An example is provided, showing the potential impact of new PCLU data on land-use mapping in the Middle East at 6000 BP.
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