Cargando…

UAV RGB, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust

Biocrusts (topsoil communities formed by mosses, lichens, bacteria, fungi, algae, and cyanobacteria) are a key biotic component of dryland ecosystems. Whilst climate patterns control the distribution of biocrusts in drylands worldwide, terrain and soil attributes can influence biocrust distribution...

Descripción completa

Detalles Bibliográficos
Autores principales: Blanco‐Sacristán, Javier, Panigada, Cinzia, Gentili, Rodolfo, Tagliabue, Giulia, Garzonio, Roberto, Martín, M. Pilar, Ladrón de Guevara, Mónica, Colombo, Roberto, Dowling, Thomas P. F., Rossini, Micol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518773/
https://www.ncbi.nlm.nih.gov/pubmed/34690397
http://dx.doi.org/10.1002/esp.5189
_version_ 1784584302437072896
author Blanco‐Sacristán, Javier
Panigada, Cinzia
Gentili, Rodolfo
Tagliabue, Giulia
Garzonio, Roberto
Martín, M. Pilar
Ladrón de Guevara, Mónica
Colombo, Roberto
Dowling, Thomas P. F.
Rossini, Micol
author_facet Blanco‐Sacristán, Javier
Panigada, Cinzia
Gentili, Rodolfo
Tagliabue, Giulia
Garzonio, Roberto
Martín, M. Pilar
Ladrón de Guevara, Mónica
Colombo, Roberto
Dowling, Thomas P. F.
Rossini, Micol
author_sort Blanco‐Sacristán, Javier
collection PubMed
description Biocrusts (topsoil communities formed by mosses, lichens, bacteria, fungi, algae, and cyanobacteria) are a key biotic component of dryland ecosystems. Whilst climate patterns control the distribution of biocrusts in drylands worldwide, terrain and soil attributes can influence biocrust distribution at landscape scale. Multi‐source unmanned aerial vehicle (UAV) imagery was used to map and study biocrust ecology in a typical dryland ecosystem in central Spain. Red, green and blue (RGB) imagery was processed using structure‐from‐motion techniques to map terrain attributes related to microclimate and terrain stability. Multispectral imagery was used to produce accurate maps (accuracy > 80%) of dryland ecosystem components (vegetation, bare soil and biocrust composition). Finally, thermal infrared (TIR) and multispectral imagery was used to calculate the apparent thermal inertia (ATI) of soil and to evaluate how ATI was related to soil moisture (r (2) = 0.83). The relationship between soil properties and UAV‐derived variables was first evaluated at the field plot level. Then, the maps obtained were used to explore the relationship between biocrusts and terrain attributes at ecosystem level through a redundancy analysis. The most significant variables that explain biocrust distribution are: ATI (34.4% of variance, F = 130.75; p < 0.001), Elevation (25.8%, F = 97.6; p < 0.001), and potential solar incoming radiation (PSIR) (52.9%, F = 200.1; p < 0.001). Differences were found between areas dominated by lichens and mosses. Lichen‐dominated biocrusts were associated with areas with high slopes and low values of ATI, with soil characterized by a higher amount of soluble salts, and lower amount of organic carbon, total phosphorus (P(tot)) and total nitrogen (N(tot)). Biocrust‐forming mosses dominated lower and moister areas, characterized by gentler slopes and higher values of ATI with soils with higher contents of organic carbon, P(tot) and N(tot). This study shows the potential to use UAVs to improve our understanding of drylands and to evaluate the control that the terrain has on biocrust distribution.
format Online
Article
Text
id pubmed-8518773
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-85187732021-10-21 UAV RGB, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust Blanco‐Sacristán, Javier Panigada, Cinzia Gentili, Rodolfo Tagliabue, Giulia Garzonio, Roberto Martín, M. Pilar Ladrón de Guevara, Mónica Colombo, Roberto Dowling, Thomas P. F. Rossini, Micol Earth Surf Process Landf Research Articles Biocrusts (topsoil communities formed by mosses, lichens, bacteria, fungi, algae, and cyanobacteria) are a key biotic component of dryland ecosystems. Whilst climate patterns control the distribution of biocrusts in drylands worldwide, terrain and soil attributes can influence biocrust distribution at landscape scale. Multi‐source unmanned aerial vehicle (UAV) imagery was used to map and study biocrust ecology in a typical dryland ecosystem in central Spain. Red, green and blue (RGB) imagery was processed using structure‐from‐motion techniques to map terrain attributes related to microclimate and terrain stability. Multispectral imagery was used to produce accurate maps (accuracy > 80%) of dryland ecosystem components (vegetation, bare soil and biocrust composition). Finally, thermal infrared (TIR) and multispectral imagery was used to calculate the apparent thermal inertia (ATI) of soil and to evaluate how ATI was related to soil moisture (r (2) = 0.83). The relationship between soil properties and UAV‐derived variables was first evaluated at the field plot level. Then, the maps obtained were used to explore the relationship between biocrusts and terrain attributes at ecosystem level through a redundancy analysis. The most significant variables that explain biocrust distribution are: ATI (34.4% of variance, F = 130.75; p < 0.001), Elevation (25.8%, F = 97.6; p < 0.001), and potential solar incoming radiation (PSIR) (52.9%, F = 200.1; p < 0.001). Differences were found between areas dominated by lichens and mosses. Lichen‐dominated biocrusts were associated with areas with high slopes and low values of ATI, with soil characterized by a higher amount of soluble salts, and lower amount of organic carbon, total phosphorus (P(tot)) and total nitrogen (N(tot)). Biocrust‐forming mosses dominated lower and moister areas, characterized by gentler slopes and higher values of ATI with soils with higher contents of organic carbon, P(tot) and N(tot). This study shows the potential to use UAVs to improve our understanding of drylands and to evaluate the control that the terrain has on biocrust distribution. John Wiley and Sons Inc. 2021-08-10 2021-09-30 /pmc/articles/PMC8518773/ /pubmed/34690397 http://dx.doi.org/10.1002/esp.5189 Text en © 2021 The Authors. Earth Surface Processes and Landforms published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Blanco‐Sacristán, Javier
Panigada, Cinzia
Gentili, Rodolfo
Tagliabue, Giulia
Garzonio, Roberto
Martín, M. Pilar
Ladrón de Guevara, Mónica
Colombo, Roberto
Dowling, Thomas P. F.
Rossini, Micol
UAV RGB, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust
title UAV RGB, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust
title_full UAV RGB, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust
title_fullStr UAV RGB, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust
title_full_unstemmed UAV RGB, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust
title_short UAV RGB, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust
title_sort uav rgb, thermal infrared and multispectral imagery used to investigate the control of terrain on the spatial distribution of dryland biocrust
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8518773/
https://www.ncbi.nlm.nih.gov/pubmed/34690397
http://dx.doi.org/10.1002/esp.5189
work_keys_str_mv AT blancosacristanjavier uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT panigadacinzia uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT gentilirodolfo uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT tagliabuegiulia uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT garzonioroberto uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT martinmpilar uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT ladrondeguevaramonica uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT colomboroberto uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT dowlingthomaspf uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust
AT rossinimicol uavrgbthermalinfraredandmultispectralimageryusedtoinvestigatethecontrolofterrainonthespatialdistributionofdrylandbiocrust