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Novel Methods for Monitoring and Managing Land and Water Resources in Siberia

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Cover of 'Novel Methods for Monitoring and Managing Land and Water Resources in Siberia'

Table of Contents

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    Book Overview
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    Chapter 1 Land and Water Resources of Siberia, Their Functioning and Ecological State
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    Chapter 2 Status Report About Understanding, Monitoring and Controlling Landscape Processes in Siberia
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    Chapter 3 Methods for Monitoring the Chemical Composition of Lake Baikal Water
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    Chapter 4 Microbiological Monitoring of Lake Baikal
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    Chapter 5 Developing the Regional Indicator Indexes of Zooplankton for Water Quality Class Determination of Water Bodies in Siberia
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    Chapter 6 Measuring and Estimating Fluxes of Carbon, Major and Trace Elements to the Arctic Ocean
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    Chapter 7 Measuring Snowmelt in Siberia: Causes, Process, and Consequences
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    Chapter 8 Estimation of Biomass and Net Primary Production (NPP) in West Siberian Boreal Ecosystems: In Situ and Remote Sensing Methods
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    Chapter 9 GIS and Remote Sensing Data-Based Methods for Monitoring Water and Soil Objects in the Steppe Biome of Western Siberia
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    Chapter 10 Significant Siberian Vegetation Change is Inevitably Brought on by the Changing Climate
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    Chapter 11 Evaluating the Agroclimatic Potential of Central Siberia
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    Chapter 12 Probabilistic Assessment of Contemporary Soil Evolution in the South of Western Siberia Based on Analysis of Soil Monitoring Data
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    Chapter 13 Study of the Suitability of NIR Spectroscopy for Monitoring the Contamination of Soils with Oil Products
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    Chapter 14 Emerging Measurement Methods for Soil Hydrological Studies
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    Chapter 15 Methods for Measuring Water and Solute Balances in Forest Ecosystems
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    Chapter 16 Using the Innovative Lysimeter Technology in the German–Russian Research Project “KULUNDA”
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    Chapter 17 Measuring Major Components of the Terrestrial Carbon Balance
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    Chapter 18 Assessment and Measurement of Wind Erosion
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    Chapter 19 Multi-Scale Vegetation and Water Body Mapping of the Northern Latitudes in Siberia with Optical Remote Sensing
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    Chapter 20 Multi-Source Data Integration and Analysis for Land Monitoring in Siberia
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    Chapter 21 Analytical and Cartographic Predictive Modeling of Arable Land Productivity
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    Chapter 22 Simulating Temperature Impacts on Crop Production Using MONICA
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    Chapter 23 A Spatial Model-Based Decision Support System for Evaluating Agricultural Landscapes Under the Aspect of Climate Change
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    Chapter 24 Monitoring of Soil Fertility (Agroecological Monitoring)
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    Chapter 25 The International Soil Classification System WRB, Third Edition, 2014
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    Chapter 26 An Emerging Method of Rating Global Soil Quality and Productivity Potentials
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    Chapter 27 Small-Scale Soil Functional Mapping of Crop Yield Potentials in Germany
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    Chapter 28 Balance of Nutrients and the Optimization of Their Use in Agroecosystems of the Russian Federation
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    Chapter 29 Assessing and Controlling Land Use Impacts on Groundwater Quality
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    Chapter 30 Principles of Conservation Agriculture in Continental Steppe Regions
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    Chapter 31 Modern Cropping Systems and Technologies for Soil Conservation in Siberian Agriculture
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    Chapter 32 Potential of Applying Novel Monitoring and Management Methods to Siberian Landscapes
Attention for Chapter 10: Significant Siberian Vegetation Change is Inevitably Brought on by the Changing Climate
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Chapter title
Significant Siberian Vegetation Change is Inevitably Brought on by the Changing Climate
Chapter number 10
Book title
Novel Methods for Monitoring and Managing Land and Water Resources in Siberia
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-24409-9_10
Book ISBNs
978-3-31-924407-5, 978-3-31-924409-9

Nadezhda M. Tchebakova, Elena I. Parfenova, Amber J. Soja

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Researcher 3 33%
Lecturer 1 11%
Student > Postgraduate 1 11%
Unknown 1 11%
Readers by discipline Count As %
Environmental Science 4 44%
Earth and Planetary Sciences 2 22%
Agricultural and Biological Sciences 1 11%
Unknown 2 22%