Identifying past social-ecological thresholds to understand long-term temporal dynamics in Spain

Fernando Santos-Martín, Blanca González García-Mon, José A. González, Irene Iniesta-Arandia, Marina García-Llorente, Carlos Montes, Federica Ravera, Cesar A. López-Santiago, Óscar Carpintero, Javier Benayas, Berta Martín-López

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)

Abstract

A thorough understanding of long-term temporal social-ecological dynamics at the national scale helps to explain the current condition of a country’s ecosystems and to support environmental policies to tackle future sustainability challenges. We aimed to develop a methodological approach to understand past long-term (1960-2010) social-ecological dynamics in Spain. First, we developed a methodical framework that allowed us to explore complex social-ecological dynamics among biodiversity, ecosystem services, human well-being, drivers of change, and institutional responses. Second, we compiled 21 long-term, national-scale indicators and analyzed their temporal relationships through a redundancy analysis. Third, we used a Bayesian change point analysis to detect evidence of past social-ecological thresholds and historical time periods. Our results revealed that Spain has passed through four socialecological thresholds that define five different time periods of nature and society relationships. Finally, we discussed how the proposed methodological approach helps to reinterpret national-level ecosystem indicators through a new conceptual lens to develop a more systems-based way of understanding long-term social-ecological patterns and dynamics.

Original languageEnglish
Article number10
JournalEcology and Society
Volume24
Issue number2
DOIs
Publication statusPublished - Jul 2019

Keywords

  • Ecosystem service
  • Long-term analysis
  • Social-ecological thresholds
  • Spain
  • Temporal dynamics

Fingerprint

Dive into the research topics of 'Identifying past social-ecological thresholds to understand long-term temporal dynamics in Spain'. Together they form a unique fingerprint.

Cite this