Details

Autor(en) / Beteiligte

• Petrescu Bakış, Alis-Luciana
• Macovei, Irina
• Barros, Paulo
• Gomes, Carla
• Carvalho, Diogo
• Cabral, João Alexandre
• Travassos, Paulo
• Torres, Laura
• Aranha, José
• Galațchi, Liviu-Daniel
• Santos, Mário

Titel

Is biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework

Ist Teil von

• Ecological indicators, 2021-02, Vol.121, p.107012, Article 107012

Ort / Verlag

Elsevier Ltd

Erscheinungsjahr

2021

Quelle

EZB Electronic Journals Library

Beschreibungen/Notizen

• [Display omitted] •Birds and bats were tested as biodiversity indicators (BI) of viticulture management.•Fieldworks supported the development of a hybrid ecological model (HYM).•HYM enable simulating the response of BI to management options and habitats creation.•HYM could support win-win viticulture and biodiversity conservation. Sustainable management of biodiversity in agricultural landscapes is a European Union objective supported on multifunctional agri-environment measures. The effectiveness of specific practices implemented to reverse declines in farmland biodiversity should be monitored using straightforward methodologies and indicators. This work outlines an innovative hybrid framework to predict the response of biodiversity indicators to farm management options. We exemplify the framework application, integrating monitoring, statistics and spatio-temporal modelling procedures with a case study using flying vertebrates’ patterns for indicating biodiversity trends. The indicators considered depict significant divergences within contrasting on-farm implemented environmental management options. In fact, while birds’ abundance was expected to increase within environmentally friendly options, bats passes showed fluctuating patterns. Overall, the framework and indicators selected were considered relevant for biodiversity assessments in vineyard landscapes. This approach also provides a promising baseline to support sustainable management practices and options for other agroecosystems, derived from ecological models with increased predictive power and intuitiveness to decision makers and environmental managers.