NDLI: Post-fire succession indices performance in a Mediterranean ecosystem

Content Provider	Springer Nature Link
Author	Matossian, Albert Dicran Matsis, Yiannis G. Konstantinidis, Pavlos Moustakas, Aristides
Copyright Year	2012
Abstract	We sought to quantify early species succession (covering a 9 year period) after a natural wildfire in an unmanaged Mediterranean-type ecosystem across three different soil types. We examined different indices that are frequently used in literature as for their sensitivity and ability in tracing vegetation changes during a post-fire succession. Field data from a forest in Sithonia peninsula, northern Greece, during a period of 10 years after a fire event were used as a case study. In order to detect the best model fit of diversity and evenness indices we used pseudovalues generated with the jackknife method. The index of evenness and diversity with the lowest coefficient of variation scores were selected as the ones with the best model fit. In order to select the abundance model with the best model fit we compared the difference of the observed abundances data from the jackknife-predicted ones using the Akaike information criterion. According to our results, in rich and medium soil types, the best diversity ecosystem index from the ones examined was the (inverse) Berger–Parker one, while in poor soil types the Simpson or Brillouin diversity index. According to our results, in rich and medium soil type Mediterranean ecosystems, a good biodiversity ecosystem descriptor is based on how abundant is the most abundant species. In poor soil types where there are fewer species, and the percentage of cover is lower, indices that account for the relative representation of species within the community structure are better biodiversity ecosystem descriptors. All evenness indices examined but the Smith–Wilson were good ecosystem descriptors. The abundance model that showed the best model fit was the log series one. The poor fit of the Smith–Wilson’s index suggests that in species poor ecosystems the number of species is more important than species variance.
Starting Page	323
Ending Page	335
Page Count	13
File Format	PDF
ISSN	14363240
Journal	Stochastic Environmental Research and Risk Assessment
Volume Number	27
Issue Number	2
e-ISSN	14363259
Language	English
Publisher	Springer-Verlag
Publisher Date	2012-05-21
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Diversity indices Species abundance models Dominance indices Evenness indices Biodiversity Goodness-of-fit Woody species Forest Fire Greece Math. Application in Environmental Science Earth Sciences Probability Theory and Stochastic Processes Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Computational Intelligence Waste Water Technology / Water Pollution Control / Water Management / Aquatic Pollution
Content Type	Text
Resource Type	Article
Subject	Environmental Chemistry Environmental Engineering Water Science and Technology Safety, Risk, Reliability and Quality

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