Using Chlorophyll <i>a</i> Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs

Green roofs have been more thoroughly investigated in the last few years due to the potential benefits they offer to ecosystems in urban areas (e.g., carbon sequestration, particle retention, heat island effect attenuation). However, current climate change models predict an increase in desertificati...

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Main Authors: Ricardo Cruz de Carvalho, Teresa Afonso do Paço, Cristina Branquinho, Jorge Marques da Silva
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/6/1748
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author Ricardo Cruz de Carvalho
Teresa Afonso do Paço
Cristina Branquinho
Jorge Marques da Silva
author_facet Ricardo Cruz de Carvalho
Teresa Afonso do Paço
Cristina Branquinho
Jorge Marques da Silva
author_sort Ricardo Cruz de Carvalho
collection DOAJ
description Green roofs have been more thoroughly investigated in the last few years due to the potential benefits they offer to ecosystems in urban areas (e.g., carbon sequestration, particle retention, heat island effect attenuation). However, current climate change models predict an increase in desertification, with an increase in temperature and decrease in rainfall, which means there is an increasing demand for green roofs with lower water consumption. Vegetation with very little water requirements, such as desiccation-tolerant mosses, has shown a potential to complement or substitute for vascular species, increasing the sustainability of lower water use in green roofs. In this study, we use chlorophyll <i>a</i> fluorescence imaging to screen for bryophytes with adequate physiology to be used in green roofs placed in at-risk areas with prolonged drought episodes. Apart from <i>Hypnum cupressiforme</i>, all selected species presented a high potential for use in those conditions, particularly <i>Didymodon fallax</i>, <i>Grimmia lisae</i>, <i>Pleurochaete squarrosa</i>, and <i>Targionia hypophylla</i>. Chlorophyll <i>a</i> fluorescence imaging technology proved to be a simple and non-invasive tool for a fast screening of these poikilohydric organisms, to be used in future studies of bryophyte biology, but more importantly in the green roof industry.
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spelling doaj.art-a9b41ac261284314872065462f25096f2023-11-20T04:25:25ZengMDPI AGWater2073-44412020-06-01126174810.3390/w12061748Using Chlorophyll <i>a</i> Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green RoofsRicardo Cruz de Carvalho0Teresa Afonso do Paço1Cristina Branquinho2Jorge Marques da Silva3cE3c, Centre for Ecology, Evolution and Environmental Changes, Faculty of Sciences, University of Lisbon, Campo Grande, Edifício C2, Piso 5, 1749-016 Lisbon, PortugalDepartment of Biosystems Engineering, Institute of Agronomy, University of Lisbon, Tapada da Ajuda, 1349-017 Lisbon, PortugalcE3c, Centre for Ecology, Evolution and Environmental Changes, Faculty of Sciences, University of Lisbon, Campo Grande, Edifício C2, Piso 5, 1749-016 Lisbon, PortugalBioISI, Biosystems and Integrative Sciences Institute and Plant Biology Department, Faculty of Sciences, University of Lisbon, Campo Grande, Edifício C2, Piso 4, 1749-016 Lisbon, PortugalGreen roofs have been more thoroughly investigated in the last few years due to the potential benefits they offer to ecosystems in urban areas (e.g., carbon sequestration, particle retention, heat island effect attenuation). However, current climate change models predict an increase in desertification, with an increase in temperature and decrease in rainfall, which means there is an increasing demand for green roofs with lower water consumption. Vegetation with very little water requirements, such as desiccation-tolerant mosses, has shown a potential to complement or substitute for vascular species, increasing the sustainability of lower water use in green roofs. In this study, we use chlorophyll <i>a</i> fluorescence imaging to screen for bryophytes with adequate physiology to be used in green roofs placed in at-risk areas with prolonged drought episodes. Apart from <i>Hypnum cupressiforme</i>, all selected species presented a high potential for use in those conditions, particularly <i>Didymodon fallax</i>, <i>Grimmia lisae</i>, <i>Pleurochaete squarrosa</i>, and <i>Targionia hypophylla</i>. Chlorophyll <i>a</i> fluorescence imaging technology proved to be a simple and non-invasive tool for a fast screening of these poikilohydric organisms, to be used in future studies of bryophyte biology, but more importantly in the green roof industry.https://www.mdpi.com/2073-4441/12/6/1748green roofsmosseschlorophyll <i>a</i> fluorescencewater usesustainabilityMediterranean
spellingShingle Ricardo Cruz de Carvalho
Teresa Afonso do Paço
Cristina Branquinho
Jorge Marques da Silva
Using Chlorophyll <i>a</i> Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs
Water
green roofs
mosses
chlorophyll <i>a</i> fluorescence
water use
sustainability
Mediterranean
title Using Chlorophyll <i>a</i> Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs
title_full Using Chlorophyll <i>a</i> Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs
title_fullStr Using Chlorophyll <i>a</i> Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs
title_full_unstemmed Using Chlorophyll <i>a</i> Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs
title_short Using Chlorophyll <i>a</i> Fluorescence Imaging to Select Desiccation-Tolerant Native Moss Species for Water-Sustainable Green Roofs
title_sort using chlorophyll i a i fluorescence imaging to select desiccation tolerant native moss species for water sustainable green roofs
topic green roofs
mosses
chlorophyll <i>a</i> fluorescence
water use
sustainability
Mediterranean
url https://www.mdpi.com/2073-4441/12/6/1748
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