2011
DOI: 10.1051/kmae/2011074
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Riparian vegetation metrics as tools for guiding ecological restoration in riverscapes

Abstract: Riparian woods are frequently fragmented and degraded, mainly as a consequence of land-cover related stresses, water diversion, regulation and invasive species. The need to enhance these systems towards their natural functioning has motivated numerous restoration efforts. However, river managers still need guidance on how to allocate scarce restoration resources, and to monitor and report the effectiveness of the restoration programmes. For this, the present work proposes a stepwise methodological procedure ov… Show more

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Cited by 29 publications
(10 citation statements)
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“…The negative correlation of benthic macroinvertebrate condition with the decrease in forests is expected because many species depend on allochthonous organic matter (leaves, fruits, wood) provided by surrounding forests as energy sources (e.g., Boyero et al, 2020 ; Jonsson & Sponseller, 2021 ; Silva‐Araújo et al, 2020 ). Moreover, forests surrounding rivers constitute efficient buffers against pollution caused by other land uses, such as agriculture, because the filtering capacity of the vegetation improves water quality, which influences aquatic communities (Aguiar et al, 2011 ; Effert‐Fanta et al, 2019 ; Riis et al, 2020 ). In Japan, for example, the higher richness of red‐listed fish species was associated with high percentages of forest cover in the catchments (Lavergne et al, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
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“…The negative correlation of benthic macroinvertebrate condition with the decrease in forests is expected because many species depend on allochthonous organic matter (leaves, fruits, wood) provided by surrounding forests as energy sources (e.g., Boyero et al, 2020 ; Jonsson & Sponseller, 2021 ; Silva‐Araújo et al, 2020 ). Moreover, forests surrounding rivers constitute efficient buffers against pollution caused by other land uses, such as agriculture, because the filtering capacity of the vegetation improves water quality, which influences aquatic communities (Aguiar et al, 2011 ; Effert‐Fanta et al, 2019 ; Riis et al, 2020 ). In Japan, for example, the higher richness of red‐listed fish species was associated with high percentages of forest cover in the catchments (Lavergne et al, 2021 ).…”
Section: Discussionmentioning
confidence: 99%
“…These are driven by increased human populations and the pressures resulting from the increased consumption of goods and services (Díaz et al, 2019 ; IPBES, 2019 ; Reid et al, 2019 ). The result is excess of nutrients (Mekonnen & Hoekstra, 2017 ; USEPA, 2020 ), contaminants (Danner et al, 2019 ; Meng et al, 2020 ), altered flow regimes and connectivity (Belletti et al, 2020 ; Grill et al, 2019 ; Zarfl et al, 2015 ), impaired riparian vegetation and physical habitat structure (Aguiar et al, 2011 ; Kaufmann et al, 2022 ; Macfarlane et al, 2018 ), spread of invasive non‐native species (IPBES, 2019 ; Pereira & Ferreira, 2021 ; Seebens et al, 2017 ) and species overexploitation (Tickner et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…Vegetation is widely used in river and wetland water ecological treatment and restoration (Constança Aguiar, F. et al, 2011;Stromberg, 2001) because it serves many eco-functions, such as fixation through roots for maintaining riverbed stability, water purification through the absorption capacity of the epidermis, and enriching biodiversity features by providing attachment matrices and habitats for organisms.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, their sensitivity and accuracy decrease with AGB and LAI [3,18]. All these limits are nowadays overcome by the recent developments in remote sensing (RS) platforms and geographic information systems (GISs), which have proven to be efficient tools to analyze the vegetation cover in different sectors [3,10,14,[19][20][21][22][23][24][25][26][27][28][29][30][31]. RS platforms, such as satellite systems, aircrafts, and unmanned aerial vehicles (UAVs), have different peculiarities exploited for different issues under investigation.…”
Section: Introductionmentioning
confidence: 99%