Ulrich Walz

Prof. Dr. Ulrich Walz

Faculty of Agriculture / Environment / Chemistry, Dresden University of Applied Sciences; 01069 Dresden, Germany

Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2012 in Ecological Indicators
Verified
Journal Article
Closed access
RSRalf-Uwe Syrbe
Ralf-Uwe Syrbe
UWUlrich Walz
Ulrich Walz

1 June 2014 in Journal for Nature Conservation
Verified
Journal Article
Closed access
UWUlrich Walz
Ulrich Walz
CSChristian Stein
Christian Stein

1 January 2011 in Living Reviews in Landscape Research
Verified
Journal Article
Open access
UWUlrich Walz
Ulrich Walz

15 July 2014 in Landscape Ecology
Verified
Journal Article
Closed access
PDF file
OBOlaf Bastian
Olaf Bastian
KGKarsten Grunewald
Karsten Grunewald
Dr. Ralf-Uwe SyrbeDr. Ralf-Uwe Syrbe
Dr. Ralf-Uwe Syrbe
UWUlrich Walz
Ulrich Walz
WWWolfgang Wende
Wolfgang Wende

1 January 2007 in Land Use Policy
Verified
Journal Article
Closed access
Dagmar HaaseDagmar Haase
Dagmar Haase
UWUlrich Walz
Ulrich Walz
Marco NeubertMarco Neubert
Marco Neubert
MRMatthias Rosenberg
Matthias Rosenberg

19 February 2008 in Landscape Online
Verified
Journal Article
Open access
PDF file
SHSebastian Hoechstetter
Sebastian Hoechstetter
UWUlrich Walz
Ulrich Walz
LDLe Hai Dang
Le Hai Dang
NTNguyen Xuan Thinh
Nguyen Xuan Thinh
Topography and relief variability play a key role in ecosystem functioning and structuring. However, the most commonly used concept to relate pattern to process in landscape ecology, the so-called patch-corridor-matrix model, perceives the landscape as a planimetric surface. As a consequence, landscape metrics, used as numerical descriptors of the spatial arrangement of landscape mosaics, generally do not allow for the examination of terrain characteristics and may even produce erroneous results, especially in mountainous areas. This brief methodological study provides basic approaches to include relief properties into large-scale landscape analyses, including the calculation of standard landscape metrics on the basis of "true" surface geometries and the application of roughness parameters derived from surface metrology. The methods are tested for their explanatory power using neutral landscapes and simulated elevation models. The results reveal that area and distance metrics possess a high sensitivity to terrain complexity, while the values of shape metrics change only slightly when surface geometries are considered for their calculation. In summary, the proposed methods prove to be a valuable extension of the existing set of metrics mainly in "rough" landscape sections, allowing for a more realistic assessment of the spatial structure.