caa a22 4500 469074590 CHVBK 20180323132931.0 cr unu---uuuuu 170328e19920301xx s 000 0 eng 10.1007/BF00129701 doi (NATIONALLICENCE)springer-10.1007/BF00129701 Identifying structural self-similarity in mountainous landscapes [Elektronische Daten] [Richard Lathrop Jr., David Peterson] Digital elevation model data were used to partition a mountainous landscape (northwestern Montana, USA) into watershed/hillslope terrain units at several different spatial scales. Fractal analysis of the perimeter to area relationships of the resulting partition polygons identified statistical self-similarity across a range of spatial scales (approximately four orders of magnitude in partition area). The fractal dimension was higher for a relatively complex fluvially-dominated terrain than for a structurally simpler glacially-dominated terrain (1.23 vs. 1.02, respectively). The structural self-similarity exhibited by this landscape has direct implications in scaling up ecosystem process models for landscape to regional simulations. SPB Academic Publishing bv, 1992 model nationallicence fractals nationallicence landscape ecology nationallicence ecosystem nationallicence Lathrop Jr. Richard Department of Environmental Resources, Cook College — Rutgers University, 08903-0231, New Brunswick, NJ, USA aut Peterson David NASA-Ames Research Center, 94035, Moffett Field, CA, USA aut Landscape Ecology Kluwer Academic Publishers 6/4(1992-03-01), 233-238 0921-2973 6:4<233 1992 6 10980 https://doi.org/10.1007/BF00129701 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00129701 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lathrop Jr Richard Department of Environmental Resources, Cook College — Rutgers University, 08903-0231, New Brunswick, NJ, USA aut NATIONALLICENCE 700 1- Peterson David NASA-Ames Research Center, 94035, Moffett Field, CA, USA aut NATIONALLICENCE 773 0- Landscape Ecology Kluwer Academic Publishers 6/4(1992-03-01), 233-238 0921-2973 6:4<233 1992 6 10980 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer