A Fractal Analysis of Biodiversity: The Living Planet Index

Cristina Serpa 1, 2
Jorge Buescu 2
1
 
Instituto Superior de Engenharia de Lisboa and CMAFcIO - Centro de Matemática, Aplicações Fundamentais e Investigação Operacional, Lisboa, Portugal
Publication typeBook Chapter
Publication date2024-09-18
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ISSN27306453, 27306461
Abstract
The Living Planet Index (LPI) is a global index which measures the state of the world’s biodiversity. Analyzing the LPI solely by statistical trends provides, however, limited insight. Fractal Regression Analysis is a recently developed tool that has been successfully applied in multidisciplinary scientific contexts for time series analysis. This method is based on the construction of a fractal function tailored to the dataset from which directional coefficients, representing trends, and fractal coefficients, representing oscillations, may be computed. These coefficients allow us to classify the world’s regions according to the progression of the LPI, helping us to identify and mathematically characterize the region of Latin America and Caribbean and the category of freshwater as worst-case scenarios with respect to the evolution of biodiversity.
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Serpa C., Buescu J. A Fractal Analysis of Biodiversity: The Living Planet Index // Studies in Infrastructure and Control. 2024. pp. 15-31.
GOST all authors (up to 50) Copy
Serpa C., Buescu J. A Fractal Analysis of Biodiversity: The Living Planet Index // Studies in Infrastructure and Control. 2024. pp. 15-31.
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TY - GENERIC
DO - 10.1007/978-981-97-2343-0_2
UR - https://link.springer.com/10.1007/978-981-97-2343-0_2
TI - A Fractal Analysis of Biodiversity: The Living Planet Index
T2 - Studies in Infrastructure and Control
AU - Serpa, Cristina
AU - Buescu, Jorge
PY - 2024
DA - 2024/09/18
PB - Springer Nature
SP - 15-31
SN - 2730-6453
SN - 2730-6461
ER -
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@incollection{2024_Serpa,
author = {Cristina Serpa and Jorge Buescu},
title = {A Fractal Analysis of Biodiversity: The Living Planet Index},
publisher = {Springer Nature},
year = {2024},
pages = {15--31},
month = {sep}
}