Socio-ecological determinants of multiple ecosystem services on the Mediterranean landscapes of the Ionian Islands (Greece)

LORILLA, Roxanne Suzette; Poirazidis, K.; Detsis, V.; Kalogirou, S.; Chalkias, C.

doi:10.1016/j.ecolmodel.2020.108994

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Socio-ecological determinants of multiple ecosystem services on the Mediterranean landscapes of the Ionian Islands (Greece)

LORILLA, Roxanne Suzette; Poirazidis, K.; Detsis, V. et al.

2020 • In Ecological Modelling, 422

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10.1016/j.ecolmodel.2020.108994

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Keywords :

Ecosystem services; Ionian Islands; Landscape planning; Predictive mapping; Random forest; Socio-ecological factors; Aegean Islands; Greece; Mediterranean Region; Biodiversity; Climate change; Decision trees; Economics; Learning systems; Random forests; Socio-ecological; algorithm; biodiversity; climate change; ecosystem service; landscape ecology; landscape planning; machine learning; mapping method; Ecosystems

Abstract :

[en] Mediterranean islands are widely recognized as biodiversity hotspots, with a long history of human activities shaping multi-functional landscapes. Socioeconomic and environmental factors are among the most important factors driving the creation of diverse landscapes, with a high supply of ecosystem services (ES). However, these factors, along with climate change, could also have irreversible consequences on local ecosystems. Thus, this study aimed to reveal the importance of socio-ecological factors in shaping ES bundles to manage natural resources efficiently and enhance human well-being. Using the Ionian Islands as a case study, we explored the relationships among multiple ES, including their supply and demand indicators. We identified bundles of ES to distinguish regions in which supply and demand exhibit different characteristics. An ensemble machine learning method (Random Forest - RF) was used to identify the most important socio-ecological variables out of 17 tested that contribute to ES bundles. Our results produced five bundles of ES supply and six bundles of ES demand. The most important variables for the distribution of ES supply bundles were landscape heterogeneity, elevation, slope, landscape connectivity, and population. In comparison, variables representing elevation, slope, and population were among the most important variables contributing to ES demand bundles. RF exhibited both good classification and predictability, which was supported by the accuracy measures. Our findings demonstrated that research on ES should account for underlying socio-ecological drivers that influence the supply and demand of ES to improve our understanding of the possible impacts of future management decisions regarding the diverse Mediterranean landscapes of the Ionian Islands. © 2020 Elsevier B.V.

Disciplines :

Earth sciences & physical geography

Author, co-author :

LORILLA, Roxanne Suzette ; Department of Geography, School of Environment, Geography and Applied Economics, Harokopio University, El. Venizelou 70, Kallithea, 176 76, Greece

Poirazidis, K.; Department of Environmental Sciences, Faculty of Environmental Sciences, Ionian University, Panagoula, 29 100, Zakynthos, Greece

Detsis, V.; Department of Home Economics and Ecology, School of Environment, Geography and Applied Economics, Harokopio University, El. Venizelou 70, Kallithea, 176 76, Greece

Kalogirou, S.; European Commission, , 5 Rue Alphonse Weicker L-2721 Luxembourg, Luxembourg

Chalkias, C.

External co-authors :

yes

Language :

English

Title :

Socio-ecological determinants of multiple ecosystem services on the Mediterranean landscapes of the Ionian Islands (Greece)

Publication date :

2020

Journal title :

Ecological Modelling

ISSN :

0304-3800

eISSN :

1872-7026

Publisher :

Elsevier B.V.

Volume :

422

Peer reviewed :

Peer Reviewed verified by ORBi

Additional URL :

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85080078681&doi=10.1016%2fj.ecolmodel.2020.108994&partnerID=40&md5=604426dddca9c596a27d6ffecb40b634

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