2017
DOI: 10.1111/avsc.12328
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Roadsides: an opportunity for biodiversity conservation

Abstract: Questions How do roadsides interact with patches of natural vegetation in shaping perennial plant communities in fragmented agricultural areas? Are the observed differences due to the type of roadside (i.e. roadcuts, embankments or road verges) or are there other factors driving community structure and composition? Location Stretch of motorway A3 and its surrounding area, central Spain. Methods We analysed the variation in perennial plant species composition and diversity among 92 plots (400 m2). The plots wer… Show more

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Cited by 28 publications
(15 citation statements)
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“…This study demonstrates that there is no single “best method” for restoration; the selection should be based on the particular demand and circumstances (Adams, Hodge, Macgregor, & Sandbrook, ; Shackelford et al., ). Multiple constraints exist in all restoration projects, but in case of intensively modified landscapes, like urban‐industrial sites, efforts needed to handle the constraints can be higher (Arenas, Escudero, Mola, & Casado, ). This guidance helps to select the appropriate method in future projects, linked to the green infrastructure policy of the European Union (European Commission, ).…”
Section: Discussionmentioning
confidence: 99%
“…This study demonstrates that there is no single “best method” for restoration; the selection should be based on the particular demand and circumstances (Adams, Hodge, Macgregor, & Sandbrook, ; Shackelford et al., ). Multiple constraints exist in all restoration projects, but in case of intensively modified landscapes, like urban‐industrial sites, efforts needed to handle the constraints can be higher (Arenas, Escudero, Mola, & Casado, ). This guidance helps to select the appropriate method in future projects, linked to the green infrastructure policy of the European Union (European Commission, ).…”
Section: Discussionmentioning
confidence: 99%
“…Interestingly, the effects of roadsides and wetland detention basins relative to conventional counterparts were infrequently studied when compared to other GI types despite their high frequency and importance in urban environments. Road ecology has been a field of study for several decades and previously research has highlighted that when managed, can be rich in both native and planted species (Arenas, Escudero, Mola, & Casado, 2017;Arifin & Nakagoshi, 2011). Further exploration of the potential to vegetate roadsides could have significant effects on biodiversity because of the large area they occupy in cities and high degree of connectivity roadways share to natural habitat or other GI types (von der Lippe & Kowarik, 2008).…”
Section: Gi Type and Taxa-specific Considerationsmentioning
confidence: 99%
“…Effective landscape-scale conservation strategies will require an understanding of the connectivity provided by gene flow between protected sites but will also benefit from knowledge about such connectivity across the landscape matrix. The landscape matrix can be an important influence on plant species diversity in isolated sites both in terms of surrounding land use types and availability of other potential habitat patches such as roadside verges (Schmucki et al 2012;Arenas et al 2017). For example, species richness of grassland plants was found to be significantly lower in areas dominated by arable land than it was in forested landscapes (Öckinger et al 2012).…”
Section: Introductionmentioning
confidence: 99%
“…A review of the impact of fragmentation on plant populations has identified a knowledge gap concerning the role of the landscape matrix (Ibáñez et al 2014). Reference has already been made to the potential part played by linear landscape elements in plant dispersal (Arenas et al 2017;Thiele et al 2018) but there is still some debate about the role of these features. Other studies have found that large high-quality habitat patches are required for plant population persistence and that dispersal along linear elements in agricultural landscapes was limited (Soons et al 2005;Liira et al 2009).…”
Section: Introductionmentioning
confidence: 99%