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New indices for quantifying the resistance and resilience of soil biota to exogenous disturbances [An article from: Soil Biology and Biochemistry]
Book Details
Author(s)
K.H. Orwin, D.A. Wardle
Publisher
Elsevier
ISBN / ASIN
B000RQZP4S
ISBN-13
978B000RQZP40
Availability
Available for download now
Marketplace
United States 🇺🇸
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Description
This digital document is a journal article from Soil Biology and Biochemistry, published by Elsevier in 2004. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
The stability (resistance and resilience to disturbance) of a soil system is a key factor influencing ecosystem properties and processes. To compare the stability of different systems, it is necessary to have indices that provide a relative quantitative measure of both the resistance and resilience of a response variable in all possible scenarios. However, the indices currently in use are frequently unable to do this, or are difficult to interpret. Here, we present new indices that avoid these problems. We compare our indices with previously published indices of stability, and also test their performance by using a real data set. We show that our indices accurately represent the response of soil properties (e.g. soil microbial biomass) to a disturbance, and that they are capable of determining differences in stability between contrasting soils.
Description:
The stability (resistance and resilience to disturbance) of a soil system is a key factor influencing ecosystem properties and processes. To compare the stability of different systems, it is necessary to have indices that provide a relative quantitative measure of both the resistance and resilience of a response variable in all possible scenarios. However, the indices currently in use are frequently unable to do this, or are difficult to interpret. Here, we present new indices that avoid these problems. We compare our indices with previously published indices of stability, and also test their performance by using a real data set. We show that our indices accurately represent the response of soil properties (e.g. soil microbial biomass) to a disturbance, and that they are capable of determining differences in stability between contrasting soils.
