River networks play a key role in the spatial organization of human settlements. Both river networks and human settlements have been found to exhibit regular self-similar patterns, but little is known about the generalized spatial patterns of human settlements embedded within river networks. Here based on night light data, we find a universal fractal structure at the global scale, with both robust Hortonian scaling relationships with the extent of human settlements and statistically significant power law scaling of the power spectra of human area functions. Globally, we find consistent patterns of power law preferential downstream clustering of human settlements across all six populated continents, typically up to 40% of the maximum flow length. This downstream clustering suggests an optimum distribution of humans in large river basins for trade, transport, and natural resource utilization but with attendant implications for human impacts on rivers. Recognition of such spatial patterns helps generalize assessments of human impacts on rivers, with direct implications for management of water quality and biological diversity in river networks.
Plain Language SummaryWhere do people live in relation to rivers? Human societies evolved alongside rivers, but how are modern human societies related to rivers? We conducted a global analysis to assess the linkages between river geomorphologic structure and human settlement patterns. We found globally consistent patterns of preferential downstream clustering of human settlements. Across all six populated continents, human settlements are clustered near the outlets of major river basins, with settlement density decreasing exponentially with distance upstream. This downstream clustering suggests an optimum distribution of humans in large river basins for trade, transport and resource utilization. However, there are also attendant implications for human impacts on rivers. Recognition of such spatial patterns helps generalize management of river water quantity, quality, and biological. River networks are characterized by bifurcating and hierarchical geometries with universally consistent scale-free topological features, resulting from self-organization driven by similar generating processes (Dodds & Rothman, 2000). One descriptor of such organizational structure is stream order, which describes the relative size of a stream in a tree-like river network (Horton, 1945). Generalized Horton's laws refer to scaling relationships of topologic and geometric variables (e.g., stream number, basin area, and stream FANG ET AL.