The Resilient Recurrent Behavior of Mediterranean Semi-Arid Complex Adaptive Landscapes

Irene Petrosillo, Donatella Valente, Christian Mulder, Bai-Lian Li, K. Bruce Jones and Giovanni Zurlini
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Irene Petrosillo: Landscape Ecology Laboratory, Department of Biological and Environmental Sciences and Technologies, ECOTEKNE, University of Salento, 73100 Lecce, Italy
Donatella Valente: Landscape Ecology Laboratory, Department of Biological and Environmental Sciences and Technologies, ECOTEKNE, University of Salento, 73100 Lecce, Italy
Christian Mulder: Department of Biological, Geological and Environmental Sciences, University of Catania, 95131 Catania, Italy
Bai-Lian Li: Department of Botany and Science & Plant Sciences, University of California, Riverside, CA 92521, USA
K. Bruce Jones: Desert Research Institute, Las Vegas, NV 89119, USA
Giovanni Zurlini: Landscape Ecology Laboratory, Department of Biological and Environmental Sciences and Technologies, ECOTEKNE, University of Salento, 73100 Lecce, Italy

Land, 2021, vol. 10, issue 3, 1-18

Abstract: Growing external pressures from human activities and climate change can exacerbate desertification, compromising the livelihoods of more than 25% of the world’s population. The dryland mosaic is defined by land covers that do not behave similarly, and the identification of their recurring or irregular changes over time is crucial, especially in areas susceptible to become desertified. To this aim, the methodological approach of this research is based on the integration of non-linear data analysis techniques, such as recurrence plots (RPs) and recurrence quantification analysis (RQA), applied to the Enhanced Vegetation Index (EVI), which is a functional ecological proxy of above ground net primary production. The research exploits the recurring change detected in vegetation cover over time to gauge the predictable (resilient) behavior of the EVI as well as its chaoticity in a semi-arid Mediterranean region (Apulia, Italy). Interestingly, the results have shown the spatial rendering of recurrence variables, confirming the well-known hot spots of soil degradation and desertification taking place in the region, which are characterized by greater EVI chaoticity, but they have also identified new potential candidate sites. As a result, the susceptibility to land degradation, as measured by the EVI-RQA approach, can help in measuring land desertification with evident operational benefits for landscape planning. The novelty of the research lies in the spatially explicit identification of resilient and less resilient areas to desertification that can support the definition of more targeted interventions and conservation priorities for better planning and sustainable management of Mediterranean drylands.

Keywords: resilience; desertification; EVI; stability; predictability; recurrence quantification analysis (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:10:y:2021:i:3:p:296-:d:516489

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