Literature DB >> 25647788

Spatial variation, mapping, and classification of moss families in semi-arid landscapes in NW Turkey.

Gökhan Abay1, Ebru Gül, Alkan Günlü, Sabit Erşahin, Serhat Ursavaş.   

Abstract

Geostatistics and remote sensing techniques are frequently used in analyzing the spatial variability of terrestrial ecosystems. We analyzed spatial variation of moss families by geostatistics and Landsat imagery in a typical semi-arid landscape in North Central Anatolia, Turkey. We sampled 49 sites, chosen based on elevation, slope steepness, and slope aspect. Moss families were determined in a 10-m(2) representative area at each sampling site. The samples were transported to a laboratory and identified for moss families. In total, 10 families were found. Semivariogram analysis was performed to analyze the spatial structure of these families. The semivariogram analysis showed that the moss families were spatially dependent within 117 m in the study area. Thirteen thematic classes were categorized by Landsat Thematic Mapper (TM) image in the study area. The classification resulted in an overall kappa statistic of 0.8535, producer accuracy of 74.29, and user accuracy of 86.67. The family with the lowest classification accuracy was Orthotrichaceae (kappa of 0.6379, producer accuracy of 64.52, and user accuracy of 66.67). The moss families and the other classes were identified with a 0.78 kappa statistic value and an 80.74 % accuracy level by using the Landsat TM. The classification showed that Brachytheciaceae, Pottiaceae, Bryaceae, and Grimmiaceae were the most abundant moss families in this semi-arid environment.

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Year:  2015        PMID: 25647788     DOI: 10.1007/s10661-014-4240-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  3 in total

1.  Analysis of mosses and topsoils for detecting sources of heavy metal pollution: multivariate and enrichment factor analysis.

Authors:  S Dragović; N Mihailović
Journal:  Environ Monit Assess       Date:  2008-10-11       Impact factor: 2.513

2.  Time series of metals in mosses and their correlation with selected sampling site-specific and ecoregional characteristics in Germany.

Authors:  Winfried Schröder; Roland Pesch
Journal:  Environ Sci Pollut Res Int       Date:  2005       Impact factor: 4.223

3.  Spatio-temporal patterns of Cu contamination in mosses using geostatistical estimation.

Authors:  Anabela Martins; Rui Figueira; António Jorge Sousa; Cecília Sérgio
Journal:  Environ Pollut       Date:  2012-07-31       Impact factor: 8.071

  3 in total

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