Is biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework
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 methodolo...
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2021
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oai:doaj.org-article:0ee9bb1fe3164915b9fc2358231cff5f2021-12-01T04:32:25ZIs biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework1470-160X10.1016/j.ecolind.2020.107012https://doaj.org/article/0ee9bb1fe3164915b9fc2358231cff5f2021-02-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X20309511https://doaj.org/toc/1470-160XSustainable 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.Alis-Luciana Petrescu BakışIrina MacoveiPaulo BarrosCarla GomesDiogo CarvalhoJoão Alexandre CabralPaulo TravassosLaura TorresJosé AranhaLiviu-Daniel GalațchiMário SantosElsevierarticleViticultureHabitat managementEcosystem servicesFunctional biodiversityFarmland indicatorsStochastic dynamic methodologyEcologyQH540-549.5ENEcological Indicators, Vol 121, Iss , Pp 107012- (2021) |
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DOAJ |
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EN |
topic |
Viticulture Habitat management Ecosystem services Functional biodiversity Farmland indicators Stochastic dynamic methodology Ecology QH540-549.5 |
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Viticulture Habitat management Ecosystem services Functional biodiversity Farmland indicators Stochastic dynamic methodology Ecology QH540-549.5 Alis-Luciana Petrescu Bakış Irina Macovei Paulo Barros Carla Gomes Diogo Carvalho João Alexandre Cabral Paulo Travassos Laura Torres José Aranha Liviu-Daniel Galațchi Mário Santos Is biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework |
description |
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. |
format |
article |
author |
Alis-Luciana Petrescu Bakış Irina Macovei Paulo Barros Carla Gomes Diogo Carvalho João Alexandre Cabral Paulo Travassos Laura Torres José Aranha Liviu-Daniel Galațchi Mário Santos |
author_facet |
Alis-Luciana Petrescu Bakış Irina Macovei Paulo Barros Carla Gomes Diogo Carvalho João Alexandre Cabral Paulo Travassos Laura Torres José Aranha Liviu-Daniel Galațchi Mário Santos |
author_sort |
Alis-Luciana Petrescu Bakış |
title |
Is biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework |
title_short |
Is biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework |
title_full |
Is biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework |
title_fullStr |
Is biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework |
title_full_unstemmed |
Is biodiversity linked with farm management options in vineyard landscapes? A case study combining ecological indicators within a hybrid modelling framework |
title_sort |
is biodiversity linked with farm management options in vineyard landscapes? a case study combining ecological indicators within a hybrid modelling framework |
publisher |
Elsevier |
publishDate |
2021 |
url |
https://doaj.org/article/0ee9bb1fe3164915b9fc2358231cff5f |
work_keys_str_mv |
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