Forest Quality - Assessing Forests at a Landscape Scale (Paperback)

Deforestation is frequently a topic of discussion in the environmental arena, but it is not just the number of trees that matters; the quality of the forest is also important. Even where the forest area is stable or increasing, there are often rapid changes in its character. Natural forests are being replaced by plantations or by intensively managed forests. Around the world, forests are becoming younger and less diverse, in both species and structure; this has important impacts for biodiversity and also affects many human values. In this groundbreaking text, forest quality is discussed as a useful new concept in forest conservation and management. Three main assessment criteria are used: authenticity; environmental benefits; and social and economic benefits. The book describes a methodology and protocol for collecting and analysing data, and outlines in detail the approach required with each indicator. The authors advocate a landscape approach to assessment and demonstrate how assessment works through a series of case studies that show how this approach can be used in many ways to help forest conservation management. This hands-on manual is for professionals involved in forestry, conservation and resource management worldwide, and contains case study material from Europe, Asia, Africa and Latin America that demonstrates practical uses of the new 'landscape' approach to forest conservation. Published with IUCN and WWF

General

Imprint:	Routledge
Country of origin:	United Kingdom
Series:	The Earthscan Forest Library
Release date:	October 2016
First published:	2006
Authors:	Nigel Dudley • Rodolphe Schlaepfer • William Jackson • Jean-Paul Jeanrenaud • Sue Stolton
Dimensions:	240 x 170mm (L x W)
Format:	Paperback
Pages:	200
ISBN-13:	978-1-138-97451-7
Categories:	Books > Professional & Technical > Agriculture & farming > Forestry & silviculture: practice & techniques Books > Earth & environment > Geography > Physical geography > Forests, rainforests
LSN:	1-138-97451-X
Barcode:	9781138974517

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