Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forests

Tropical landscapes are changing rapidly due to changes in land use and land management. Being able to predict and monitor land use change impacts on species for conservation or food security concerns requires the use of habitat quality metrics, that are consistent, can be mapped using above-ground...

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Main Authors: Marion Pfeifer, Michael J.W. Boyle, Stuart Dunning, Pieter I. Olivier
Format: Article
Language:English
Published: PeerJ Inc. 2019-01-01
Series:PeerJ
Subjects:
Online Access:https://peerj.com/articles/6190.pdf
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author Marion Pfeifer
Michael J.W. Boyle
Stuart Dunning
Pieter I. Olivier
author_facet Marion Pfeifer
Michael J.W. Boyle
Stuart Dunning
Pieter I. Olivier
author_sort Marion Pfeifer
collection DOAJ
description Tropical landscapes are changing rapidly due to changes in land use and land management. Being able to predict and monitor land use change impacts on species for conservation or food security concerns requires the use of habitat quality metrics, that are consistent, can be mapped using above-ground sensor data and are relevant for species performance. Here, we focus on ground surface temperature (Thermalground) and ground vegetation greenness (NDVIdown) as potentially suitable metrics of habitat quality. Both have been linked to species demography and community structure in the literature. We test whether they can be measured consistently from the ground and whether they can be up-scaled indirectly using canopy structure maps (Leaf Area Index, LAI, and Fractional vegetation cover, FCover) developed from Landsat remote sensing data. We measured Thermalground and NDVIdown across habitats differing in tree cover (natural grassland to forest edges to forests and tree plantations) in the human-modified coastal forested landscapes of Kwa-Zulua Natal, South Africa. We show that both metrics decline significantly with increasing canopy closure and leaf area, implying a potential pathway for upscaling both metrics using canopy structure maps derived using earth observation. Specifically, our findings suggest that opening forest canopies by 20% or decreasing forest canopy LAI by one unit would result in increases of Thermalground by 1.2 °C across the range of observations studied. NDVIdown appears to decline by 0.1 in response to an increase in canopy LAI by 1 unit and declines nonlinearly with canopy closure. Accounting for micro-scale variation in temperature and resources is seen as essential to improve biodiversity impact predictions. Our study suggests that mapping ground surface temperature and ground vegetation greenness utilising remotely sensed canopy cover maps could provide a useful tool for mapping habitat quality metrics that matter to species. However, this approach will be constrained by the predictive capacity of models used to map field-derived forest canopy attributes. Furthermore, sampling efforts are needed to capture spatial and temporal variation in Thermalground within and across days and seasons to validate the transferability of our findings. Finally, whilst our approach shows that surface temperature and ground vegetation greenness might be suitable habitat quality metric used in biodiversity monitoring, the next step requires that we map demographic traits of species of different threat status onto maps of these metrics in landscapes differing in disturbance and management histories. The derived understanding could then be exploited for targeted landscape restoration that benefits biodiversity conservation at the landscape scale.
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spelling doaj.art-8d123db702cd495cb42fd68f5d4370d12023-12-03T01:25:46ZengPeerJ Inc.PeerJ2167-83592019-01-017e619010.7717/peerj.6190Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forestsMarion Pfeifer0Michael J.W. Boyle1Stuart Dunning2Pieter I. Olivier3Modelling, Evidence & Policy Group, SNES, Newcastle University, Newcastle Upon Tyne, United KingdomForest Ecology and Conservation Group, Silwood Park Campus, Imperial College London, Ascot, Berkshire, United KingdomSchool of Geography, Politics and Sociology, Newcastle University, Newcastle Upon Tyne, United KingdomM.A.P. Scientific Services, Pretoria, South AfricaTropical landscapes are changing rapidly due to changes in land use and land management. Being able to predict and monitor land use change impacts on species for conservation or food security concerns requires the use of habitat quality metrics, that are consistent, can be mapped using above-ground sensor data and are relevant for species performance. Here, we focus on ground surface temperature (Thermalground) and ground vegetation greenness (NDVIdown) as potentially suitable metrics of habitat quality. Both have been linked to species demography and community structure in the literature. We test whether they can be measured consistently from the ground and whether they can be up-scaled indirectly using canopy structure maps (Leaf Area Index, LAI, and Fractional vegetation cover, FCover) developed from Landsat remote sensing data. We measured Thermalground and NDVIdown across habitats differing in tree cover (natural grassland to forest edges to forests and tree plantations) in the human-modified coastal forested landscapes of Kwa-Zulua Natal, South Africa. We show that both metrics decline significantly with increasing canopy closure and leaf area, implying a potential pathway for upscaling both metrics using canopy structure maps derived using earth observation. Specifically, our findings suggest that opening forest canopies by 20% or decreasing forest canopy LAI by one unit would result in increases of Thermalground by 1.2 °C across the range of observations studied. NDVIdown appears to decline by 0.1 in response to an increase in canopy LAI by 1 unit and declines nonlinearly with canopy closure. Accounting for micro-scale variation in temperature and resources is seen as essential to improve biodiversity impact predictions. Our study suggests that mapping ground surface temperature and ground vegetation greenness utilising remotely sensed canopy cover maps could provide a useful tool for mapping habitat quality metrics that matter to species. However, this approach will be constrained by the predictive capacity of models used to map field-derived forest canopy attributes. Furthermore, sampling efforts are needed to capture spatial and temporal variation in Thermalground within and across days and seasons to validate the transferability of our findings. Finally, whilst our approach shows that surface temperature and ground vegetation greenness might be suitable habitat quality metric used in biodiversity monitoring, the next step requires that we map demographic traits of species of different threat status onto maps of these metrics in landscapes differing in disturbance and management histories. The derived understanding could then be exploited for targeted landscape restoration that benefits biodiversity conservation at the landscape scale.https://peerj.com/articles/6190.pdfCoastal forestsForest edgesEucalyptus plantationsGround surface temperatureNDVIHabitat microclimate
spellingShingle Marion Pfeifer
Michael J.W. Boyle
Stuart Dunning
Pieter I. Olivier
Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forests
PeerJ
Coastal forests
Forest edges
Eucalyptus plantations
Ground surface temperature
NDVI
Habitat microclimate
title Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forests
title_full Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forests
title_fullStr Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forests
title_full_unstemmed Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forests
title_short Forest floor temperature and greenness link significantly to canopy attributes in South Africa’s fragmented coastal forests
title_sort forest floor temperature and greenness link significantly to canopy attributes in south africa s fragmented coastal forests
topic Coastal forests
Forest edges
Eucalyptus plantations
Ground surface temperature
NDVI
Habitat microclimate
url https://peerj.com/articles/6190.pdf
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AT stuartdunning forestfloortemperatureandgreennesslinksignificantlytocanopyattributesinsouthafricasfragmentedcoastalforests
AT pieteriolivier forestfloortemperatureandgreennesslinksignificantlytocanopyattributesinsouthafricasfragmentedcoastalforests