UZH-Logo

Maintenance Infos

Soil variability in mountain areas


Zanini, Ermanno; Freppaz, Michele; Stanchi, Silvia; Bonifacio, Eleonora; Egli, Markus (2015). Soil variability in mountain areas. In: Romeo, R; Vita, A; Manuelli, S; Zanini, E; Freppaz, Michele; Stanchi, Silvia. Understanding Mountain Soils: A Contribution from mountain areas to the International Year of Soils 2015. Rome: FAO, 60-62.

Abstract

The high spatial variability of soils is a relevant issue at local and global scales, and determines the complexity of soil ecosystem functions and services. This variability derives from strong dependencies of soil ecosystems on parent materials, climate, relief and biosphere, including human impact. Although present in all environments, the interactions of soils with these forming factors are particularly striking in mountain areas.

Abstract

The high spatial variability of soils is a relevant issue at local and global scales, and determines the complexity of soil ecosystem functions and services. This variability derives from strong dependencies of soil ecosystems on parent materials, climate, relief and biosphere, including human impact. Although present in all environments, the interactions of soils with these forming factors are particularly striking in mountain areas.

Altmetrics

Downloads

9 downloads since deposited on 20 Jan 2016
9 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Book Section, not refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2015
Deposited On:20 Jan 2016 20:03
Last Modified:05 Apr 2016 19:59
Publisher:FAO
ISBN:978-92-5-108804-3
Free access at:Official URL. An embargo period may apply.
Official URL:http://www.fao.org/3/a-i4704e.pdf

Download

[img]
Preview
Content: Published Version
Language: English
Filetype: PDF
Size: 957kB

TrendTerms

TrendTerms displays relevant terms of the abstract of this publication and related documents on a map. The terms and their relations were extracted from ZORA using word statistics. Their timelines are taken from ZORA as well. The bubble size of a term is proportional to the number of documents where the term occurs. Red, orange, yellow and green colors are used for terms that occur in the current document; red indicates high interlinkedness of a term with other terms, orange, yellow and green decreasing interlinkedness. Blue is used for terms that have a relation with the terms in this document, but occur in other documents.
You can navigate and zoom the map. Mouse-hovering a term displays its timeline, clicking it yields the associated documents.

Author Collaborations