Wetland Distribution Trends in Central Asia

Anthropogenic activities and climate change contribute to the deterioration of wetlands worldwide with Central Asia (CA) being among the regions which are most severely affected. This study examined how the distribution of wetlands in CA has changed in the last two decades. Emphasis was put on inlan...

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Main Authors: Nora Tesch, Niels Thevs
Format: Article
Language:English
Published: Kazakh German University 2020-05-01
Series:Central Asian Journal of Water Research
Subjects:
Online Access:https://drive.google.com/file/d/1ZLVm634KVCwcxbDihQEDKZkr7iJmZuee/view
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spelling doaj-1e60dfbe9c1248019fe62252c1ef61b02021-09-08T17:33:53ZengKazakh German UniversityCentral Asian Journal of Water Research2522-90602020-05-01613965https://doi.org/10.29258/CAJWR/2020-R1.v6-1/39-65.engWetland Distribution Trends in Central AsiaNora Tesch0Niels Thevs1Eberhard Karls Universität Tübingen, GermanyWorld Agroforestry Centre (ICRAF) Central Asia Programme, KyrgyzstanAnthropogenic activities and climate change contribute to the deterioration of wetlands worldwide with Central Asia (CA) being among the regions which are most severely affected. This study examined how the distribution of wetlands in CA has changed in the last two decades. Emphasis was put on inland wetlands protected as International Bird and Biodiversity Areas. Time series of maps of wetlands (i.e. reed beds) were created for the years 2000, 2005, 2010, 2015 and 2018. A supervised classification approach was applied using NDVI of MODIS satellite images with 1000m resolution for the respective years. Ground control points were acquired through fieldtrips to the lower Chu River, upper Ili River and Ili River Delta in Kazakhstan and the Amu Darya River Delta and the Lower Amu Darya State Biosphere Reserve in Uzbekistan. The applied method is not applicable for the classification of wetlands in northern Kazakhstan. The vegetation there is too alike to the wetland vegetation in terms of values and seasonality of NDVI. For the remaining part of the study area, the applied method delivers satisfying results. However, it is difficult to determine a general trend for most wetland areas since there is a large variability between years. This study marks a first attempt at examining wetlands in CA at a regional scale. The results provide a baseline for further, more detailed research through either fieldtrips or by using higher resolution remote sensing data.https://drive.google.com/file/d/1ZLVm634KVCwcxbDihQEDKZkr7iJmZuee/viewmappingmodisndviphragmites australisremote sensing
collection DOAJ
language English
format Article
sources DOAJ
author Nora Tesch
Niels Thevs
spellingShingle Nora Tesch
Niels Thevs
Wetland Distribution Trends in Central Asia
Central Asian Journal of Water Research
mapping
modis
ndvi
phragmites australis
remote sensing
author_facet Nora Tesch
Niels Thevs
author_sort Nora Tesch
title Wetland Distribution Trends in Central Asia
title_short Wetland Distribution Trends in Central Asia
title_full Wetland Distribution Trends in Central Asia
title_fullStr Wetland Distribution Trends in Central Asia
title_full_unstemmed Wetland Distribution Trends in Central Asia
title_sort wetland distribution trends in central asia
publisher Kazakh German University
series Central Asian Journal of Water Research
issn 2522-9060
publishDate 2020-05-01
description Anthropogenic activities and climate change contribute to the deterioration of wetlands worldwide with Central Asia (CA) being among the regions which are most severely affected. This study examined how the distribution of wetlands in CA has changed in the last two decades. Emphasis was put on inland wetlands protected as International Bird and Biodiversity Areas. Time series of maps of wetlands (i.e. reed beds) were created for the years 2000, 2005, 2010, 2015 and 2018. A supervised classification approach was applied using NDVI of MODIS satellite images with 1000m resolution for the respective years. Ground control points were acquired through fieldtrips to the lower Chu River, upper Ili River and Ili River Delta in Kazakhstan and the Amu Darya River Delta and the Lower Amu Darya State Biosphere Reserve in Uzbekistan. The applied method is not applicable for the classification of wetlands in northern Kazakhstan. The vegetation there is too alike to the wetland vegetation in terms of values and seasonality of NDVI. For the remaining part of the study area, the applied method delivers satisfying results. However, it is difficult to determine a general trend for most wetland areas since there is a large variability between years. This study marks a first attempt at examining wetlands in CA at a regional scale. The results provide a baseline for further, more detailed research through either fieldtrips or by using higher resolution remote sensing data.
topic mapping
modis
ndvi
phragmites australis
remote sensing
url https://drive.google.com/file/d/1ZLVm634KVCwcxbDihQEDKZkr7iJmZuee/view
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