Literature DB >> 29118138

Macroecological factors shape local-scale spatial patterns in agriculturalist settlements.

Tingting Tao1, Sebastián Abades2, Shuqing Teng3, Zheng Y X Huang4, Luís Reino5,6,7, Bin J W Chen8, Yong Zhang8, Chi Xu9, Jens-Christian Svenning3,10.   

Abstract

Macro-scale patterns of human systems ranging from population distribution to linguistic diversity have attracted recent attention, giving rise to the suggestion that macroecological rules shape the assembly of human societies. However, in which aspects the geography of our own species is shaped by macroecological factors remains poorly understood. Here, we provide a first demonstration that macroecological factors shape strong local-scale spatial patterns in human settlement systems, through an analysis of spatial patterns in agriculturalist settlements in eastern mainland China based on high-resolution Google Earth images. We used spatial point pattern analysis to show that settlement spatial patterns are characterized by over-dispersion at fine spatial scales (0.05-1.4 km), consistent with territory segregation, and clumping at coarser spatial scales beyond the over-dispersion signals, indicating territorial clustering. Statistical modelling shows that, at macroscales, potential evapotranspiration and topographic heterogeneity have negative effects on territory size, but positive effects on territorial clustering. These relationships are in line with predictions from territory theory for hunter-gatherers as well as for many animal species. Our results help to disentangle the complex interactions between intrinsic spatial processes in agriculturalist societies and external forcing by macroecological factors. While one may speculate that humans can escape ecological constraints because of unique abilities for environmental modification and globalized resource transportation, our work highlights that universal macroecological principles still shape the geography of current human agricultural societies.
© 2017 The Author(s).

Entities:  

Keywords:  energy; human macroecology; point pattern; scale; territory; topography

Mesh:

Year:  2017        PMID: 29118138      PMCID: PMC5698655          DOI: 10.1098/rspb.2017.2003

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


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