Propozycja metody waloryzacji ekosystemow lesnych wykorzystujacej epigeiczno-glebowe zgrupowania skoczogonkow (Collembola, Hexapoda)

Warsaw

2005

208 S.

10 Abb., zahlr. Lit. Ang.

Bandaufführung

83-7244-637-7

127606

The method of environmental evaluation of forest ecosystems using epigeic-soil springtails was elaborated on the basis of studies of Collembola communities of Bialowieza Primeval Forest and analysis of achievements of zooindication. Presented paper consists of the following parts: Part I. Collembola as an element of forest ecosystems. In this part the occurrence and importance of springtails in forest soil was presented. In seach for natural pattern, ecological analysis of Collembola communities of all forest types of Bialowieza Primeval Forest was done. Part II. Assessment of forest ecosystems using zooindication methods. In this part achievements of zooindication in forest studies were presented with special attention to Collembola communities. The application of springtails as a bioindicator in environmental evaluation was discussed. Part III. Agorithm of assessment of forest ecosystems using Collembola communities. In this part the pattern of natural Collembola communities was elaborated and on this base a new method of environmental evaluation was worked up. Proposed pattern of natural communities consists of three groups of indices assessing the compostion, structure and faunistic value of communities. The species number (S) and two original indices: insurance policy of communities (PZ) and index of regional forms (WFL) were used to characterise the composition of communities. Shannon-Weaver (H'), Margalef (d) and Pielou (E) indices describe community structure. Faunistic value index (WF2) and share of oligovalent species (%OW) were used to describe faunistic value of communities. Algorithm of valorisation bases on comparing value of indices counted for communities of evaluated forest ecosystems to natural pattern of Collembola communities. The score of environmental evaluation was expressed as a percentage of deformation of evaluated forest. Proposed method was tested on empirical data collected from managed forests.