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Books > Earth & environment > Earth sciences > Geology & the lithosphere > Soil science, sedimentology

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Birds as Useful Indicators of High Nature Value Farmlands - Using Species Distribution Models as a Tool for Monitoring the Health of Agro-ecosystems (Hardcover, 1st ed. 2017) Loot Price: R4,188
Discovery Miles 41 880
Birds as Useful Indicators of High Nature Value Farmlands - Using Species Distribution Models as a Tool for Monitoring the...

Birds as Useful Indicators of High Nature Value Farmlands - Using Species Distribution Models as a Tool for Monitoring the Health of Agro-ecosystems (Hardcover, 1st ed. 2017)

Federico Morelli, Piotr Tryjanowski

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Loot Price R4,188 Discovery Miles 41 880 | Repayment Terms: R392 pm x 12*

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This book helps to establish a simple framework to identify and use bird species as a bioindicator for high nature value (HNV) farmlands. This book focuses on suitable methods for monitoring the HNV areas, and presents the results of several case studies. The chapters put forward ways to integrate ecosystems assessment, geographical information systems (GIS) and strategies for conservation of local biodiversity. An innovative framework focuses on the use of species distribution models (SDMs) in order to explore the importance of each characteristic of HNV farmlands. Furthermore, the book examines the relationships among bird species richness, land use diversity and landscape metrics at a local scale in the farmlands.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: February 2017
First published: 2017
Editors: Federico Morelli • Piotr Tryjanowski
Dimensions: 235 x 155 x 15mm (L x W x T)
Format: Hardcover
Pages: 120
Edition: 1st ed. 2017
ISBN-13: 978-3-319-50282-3
Categories: Books > Professional & Technical > Agriculture & farming > Agricultural science
Books > Earth & environment > Earth sciences > Geology & the lithosphere > Soil science, sedimentology
Books > Earth & environment > The environment > Conservation of the environment > General
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LSN: 3-319-50282-4
Barcode: 9783319502823

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