Research on intensive agricultural features contributes to the social relations of farming, including the means by which farmers mobilize labor and the possible destination of surplus. Lidar provides high-resolution data on ancient houses and agricultural features at a regional scale. This paper uses lidar data from NASA’s G-LiHT airborne imager to derive insights about rural demography, interhousehold cooperation, and subsistence interdependency among the ancient Maya. We assess the differences in intensity of agricultural investment in rural and urban areas of the Río Bec region of southern Campeche and Quintana Roo, Mexico, leading to inferences about regional food exchange and complex economies. The scale of interconnected ridges and terraces clearly implies interhousehold cooperation, yet this cooperation was not centralized. Rather, we envision a landscape of smallholders who jointly planned the layout and articulation of agricultural features but pooled most of their labor at the level of the household.

中文翻译：

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Río Bec 地区古代玛雅农村聚落模式、家庭合作和区域生计相互依​​存：来自 G-LiHT 的贡献

对集约化农业特征的研究有助于农业的社会关系，包括农民动员劳动力的方式和剩余的可能去向。激光雷达在区域范围内提供有关古代房屋和农业特征的高分辨率数据。本文使用来自 NASA 的 G-LiHT 机载成像仪的激光雷达数据来深入了解古代玛雅人之间的农村人口统计、家庭间合作和生存相互依存关系。我们评估了坎佩切州南部的里奥贝克地区和墨西哥金塔纳罗奥州农村和城市地区农业投资强度的差异，从而得出关于区域粮食交换和复杂经济的推论。相互连接的山脊和梯田的规模显然意味着家庭间的合作，但这种合作并不是集中的。相当，