Literature DB >> 11083911

Landscape metrics for assessment of landscape destruction and rehabilitation.

F Herzog1, A Lausch, E Müller, H H Thulke, U Steinhardt, S Lehmann.   

Abstract

This investigation tested the usefulness of geometry-based landscape metrics for monitoring landscapes in a heavily disturbed environment. Research was carried out in a 75 sq km study area in Saxony, eastern Germany, where the landscape has been affected by surface mining and agricultural intensification. Landscape metrics were calculated from digital maps (1912, 1944, 1973, 1989) for the entire study area and for subregions (river valleys, plains), which were defined using the original geology and topography of the region. Correlation and factor analyses were used to select a set of landscape metrics suitable for landscape monitoring. Little land-use change occurred in the first half of the century, but political decisions and technological developments led to considerable change later. Metrics showed a similar pattern with almost no change between 1912 and 1944, but dramatic changes after 1944. Nonparametric statistical methods were used to test whether metrics differed between river valleys and plains. Significant differences in the metrics for these regions were found in the early maps (1912, 1944), but these differences were not significant in 1973 or 1989. These findings indicate that anthropogenic influences created a more home geneous landscape.

Mesh:

Year:  2001        PMID: 11083911     DOI: 10.1007/s002670010136

Source DB:  PubMed          Journal:  Environ Manage        ISSN: 0364-152X            Impact factor:   3.266


  10 in total

1.  Supplementing land-use statistics with landscape metrics: some methodological considerations.

Authors:  F Herzog; A Lausch
Journal:  Environ Monit Assess       Date:  2001-11       Impact factor: 2.513

2.  Decision tree algorithm for detection of spatial processes in landscape transformation.

Authors:  Jan Bogaert; Reinhart Ceulemans; David Salvador-Van Eysenrode
Journal:  Environ Manage       Date:  2004-01-08       Impact factor: 3.266

3.  Assessing the restoration success of river widenings: a landscape approach.

Authors:  Sigrun Rohde; Felix Kienast; Matthias Bürgi
Journal:  Environ Manage       Date:  2004-10       Impact factor: 3.266

4.  Geographical location and key sensitivity issues of post-industrial regions in Europe.

Authors:  Tomasz Stuczynski; Grzegorz Siebielec; Renata Korzeniowska-Puculek; Piotr Koza; Rafal Pudelko; Artur Lopatka; Monika Kowalik
Journal:  Environ Monit Assess       Date:  2008-04-25       Impact factor: 2.513

5.  The control of land-use patterns for stormwater management at multiple spatial scales.

Authors:  Ge Zhang; Subhro Guhathakurta; Gang Dai; Lingying Wu; Lijiao Yan
Journal:  Environ Manage       Date:  2012-12-28       Impact factor: 3.266

6.  Monitoring coal mine changes and their impact on landscape patterns in an alpine region: a case study of the Muli coal mine in the Qinghai-Tibet Plateau.

Authors:  Dawen Qian; Changzhen Yan; Zanpin Xing; Lina Xiu
Journal:  Environ Monit Assess       Date:  2017-10-14       Impact factor: 2.513

7.  Analysis of patterns and ecological security trend of modern oasis landscapes in Xinjiang, China.

Authors:  Junfang Huang; Ranghui Wang; Huizhi Zhang
Journal:  Environ Monit Assess       Date:  2007-02-15       Impact factor: 2.513

8.  Modeling Land Use Changes and their Impacts on Non-Point Source Pollution in a Southeast China Coastal Watershed.

Authors:  Xin Zhang; Lin Zhou; Yuqi Liu
Journal:  Int J Environ Res Public Health       Date:  2018-07-27       Impact factor: 3.390

9.  Correlation Analysis between Landscape Metrics and Water Quality under Multiple Scales.

Authors:  Xin Zhang; Yuqi Liu; Lin Zhou
Journal:  Int J Environ Res Public Health       Date:  2018-07-28       Impact factor: 3.390

10.  Nonpoint Pollution Source-Sink Landscape Pattern Change Analysis in a Coastal River Basin in Southeast China.

Authors:  Xin Zhang; Qiong Zheng; Lin Zhou; Jiawei Wei
Journal:  Int J Environ Res Public Health       Date:  2018-09-26       Impact factor: 3.390

  10 in total

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