Abstract

The aim of this study is quantitatively assessment and map land reclamation condition in irrigated croplands of Kulavat canal irrigation system. Environmental variables, such as soil texture, salinity and bonitet, groundwater table and salinity, distance to irrigation systems and density of drainage networks, are the main datasets required for assessing land reclamation condition. These data were extracted and manipulated in geographic information system (GIS) as thematic layers. Spatial analyst function in GIS software was used to detect spatial distribution of variablesand assessing the land reclamation condition, of which the map of environmentally sensitive areas of study area is produced. The results obtained reveals that the study area comprises of three sensitivity classes such as good, medium and low condition, on basis of the stratification map. It is seen that the low areas for land reclamation condition in study area are found in the north-western and south-eastern parts, these areas represent 7 % of the total irrigated lands in study area (26,700 ha). The areas of mediumcondition represent 47 % of the total area. The areas of good condition comprise 33 % of the total area. The other parts (13 %) of the study area belong tonon-assessed class. By noticing the evaluation of environmental factors, the soil (texture), land condition (groundwater table) and water availability (distance to the irrigation systems) have the intensive effect on land reclamation condition throughout the study region. A GIS tool hasa potential to generate such as mapsthat can be used in specific land management improvement programs.

Highlights

  • Population growth and climate variability necessitate using available land and water resources effectively to maintain sustainable agricultural production in the Central Asian countries, especially in lowlands of the Amudarya and Syrdarya rivers

  • Only through an integrated, multi-level, approach that both the land and water management and the existing interactions amongst the individual components of the landscape can be evaluated. In response to these problems, main goal of this study is to quantitatively assess and map land reclamation condition in irrigated croplands of Kulavat canal irrigation system with application of relatively new methodology — “overlaying” or so called “stratification” that allows to find out environmentally sensitive areas, on which further land improvement measures can be taken

  • The current working set of thematic layers to construct the categories for assessing land reclamation condition in the study area is given in fig

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Summary

Introduction

Population growth and climate variability necessitate using available land and water resources effectively to maintain sustainable agricultural production in the Central Asian countries, especially in lowlands of the Amudarya and Syrdarya rivers. Land reclamation condition is affected with three datasets, but by variable environmental conditions and management factors such as soil texture, fertility, water availability, drainage density and so on, among others These environmental variables can be distinguished and mapped by using certain key indicators [Kairis et al, 2014] for assessing the land capability to withstand further degradation, or the land suitability for supporting specific types of land use. Only through an integrated, multi-level, approach that both the land and water management and the existing interactions amongst the individual components of the landscape can be evaluated In response to these problems, main goal of this study is to quantitatively assess and map land reclamation condition in irrigated croplands of Kulavat canal irrigation system with application of relatively new methodology — “overlaying” or so called “stratification” that allows to find out environmentally sensitive areas, on which further land improvement measures can be taken. It is possible to retrieve and analyze transformation phenomena quickly, as they progress, in order to identify and instigate the necessary intervention

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