Ecological quantum analysis: Building a bias-corrected energy component table
2019
Kürşad ÖZKAN
This present study was carried out to build bias-corrected energy component table in the frame of quantum ecology. The first order jackknife index was preferred as a bias corrected equation. Using a hypothetical meta-community data, traditional energy component (TEC) table and bias-corrected energy component (BEC) table were obtained. According the results, all potential energy footprint (PEF) values of BEC were found higher than PEF values of TEC. The most considerable differences were observed for joint effect and emergence effect. Bias comes from incomplete inventory data. The data used in ecological quantum analysis is obtained from field inventory works. Therefore the concept of bias needs to be placed in quantum ecology and the bias-corrected algorithms should be considered in estimations of ecological quantum parameters.
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