test_moissonnage_selune
type: Agent

Ecosystem services in a mountain grassland socio-ecological system
type: Distribution
access URL: https://theses.hal.science/tel-00770307
format: HTML
issued: 2026-05-15T13:41:24.773586
modified: 2026-05-15T13:41:24.700610

Ecosystem services in a mountain grassland socio-ecological system
type: Dataset
contact point: Organization
  fn: CCSD
keyword: gestions-des-prairies
keyword: sdvsalife-sciences-q-bioagricultural-sciences
keyword: recherche-participative
keyword: participatory-research
keyword: modelisation-spatiale-et-temporelle
keyword: services-ecologiques
keyword: theses
keyword: land-use-change
keyword: infoeu-reposemanticsdoctoralthesis
keyword: grassland-management
keyword: systeme-socio-ecologique
keyword: socio-ecological-systems
keyword: changement-dutilisation-des-terres
keyword: ecosystem-services
landing page: https://theses.hal.science/tel-00770307
description: The ecosystem service (ES) concept is increasingly used in different scientific disciplines and is spreading into policy and business circles to draw attention to the benefits that people receive from biodiversity and ecosystems. Nevertheless, while the number of case studies considering various dimensions of the interactions between ecosystems and land use via ES has been steadily increasing, integrated research addressing interrelationships between biodiversity, ES and land use has remained mostly theoretical. This thesis aims through a socio-ecological approach to understand: (1) Which ES are potentially delivered given ecological dynamics, (2) how these ES are perceived by stakeholders in terms of value and knowledge, (3) how human management affects ES delivery, and (4) how ES are taken into account in land management decisions, thereby considering feedbacks from ecosystem to the land use system through ES. To address these questions, an interdisciplinary study was conducted on Villar d'Arène (French Alps) a municipality where the subalpine landscape is shaped by extensive mountain livestock farming. Statistical modelling and geographical information systems where combined to analyse the determinants of the spatial distribution of biodiversity and ES within the landscape using ecological (including plant functional traits), biophysical and land-use data. The following ES were mapped: agronomic value, aesthetic value, water quality, carbon storage, soil fertility, soil moisture, conservation of plant diversity and pollination. These allowed us to quantify trade-offs and synergies in the current landscape and to identify key management types supporting multifunctionality. The dynamics of ES was projected under four different scenarios integrating climatic, socio-economic and land-use changes, which were developed using a participative approach with regional experts and local farmers. Analyses of projected scenario impacts showed that ES synergies and trade-offs e…
identifier: NNT: 2012GRENV036
issued: 2026-05-15T13:41:24.734346
language: fr
modified: 2026-05-15T13:41:24.734351