Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska
Questions Is it possible to map floristic gradients in heterogeneous boreal vegetation by using remote‐sensing data? Does a continuous vegetation map enable the creation of a spatially continuous map of seasonal permafrost soil thaw depth? Location Bonanza Creek LTER, Fairbanks, Alaska, USA. Methods...
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ftdepositonce:oai:depositonce.tu-berlin.de:11303/13300 2023-07-02T03:33:26+02:00 Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska Döpper, Veronika Panda, Santosh Waigl, Christine Braun, Matthias Feilhauer, Hannes 2021-02-22 application/pdf https://depositonce.tu-berlin.de/handle/11303/13300 https://doi.org/10.14279/depositonce-12092 en eng 1654-109X 1402-2001 https://depositonce.tu-berlin.de/handle/11303/13300 http://dx.doi.org/10.14279/depositonce-12092 https://creativecommons.org/licenses/by-nc/4.0/ 550 Geowissenschaften boreal vegetation ordination permafrost predictive mapping remote sensing soil–vegetation interaction Article publishedVersion 2021 ftdepositonce https://doi.org/10.14279/depositonce-12092 2023-06-12T16:20:48Z Questions Is it possible to map floristic gradients in heterogeneous boreal vegetation by using remote‐sensing data? Does a continuous vegetation map enable the creation of a spatially continuous map of seasonal permafrost soil thaw depth? Location Bonanza Creek LTER, Fairbanks, Alaska, USA. Methods Vegetation records are subjected to an ordination to extract the predominant floristic gradient. The ordination scores are then extrapolated using Sentinel 2 imagery and a digital elevation model (DEM). As the relation between vegetation pattern and seasonal thaw depth was confirmed in this study, the spatial distribution of ordination scores is then used to predict seasonal thaw depth over the same area. Results The first dimension of the ordination space separates species corresponding to moist and cold soil conditions from species associated with well‐drained soils. This floristic gradient was successfully mapped within the sampled plant communities. The extrapolated thaw depths follow the typical distribution along a topographical and geomorphological gradient for this region. Besides vegetation information also DEM derivatives show high contributions to the thaw depth modeling. Conclusion We demonstrate that floristic gradient mapping in boreal vegetation is possible. The accuracy of the thaw depth prediction model is comparable to that in previous analyses but uses a more parsimonious set of predictors, underlining the efficacy of this approach. TU Berlin, Open-Access-Mittel – 2021 Article in Journal/Newspaper permafrost Alaska TU Berlin: Deposit Once Fairbanks Bonanza ENVELOPE(-119.820,-119.820,55.917,55.917) |
institution |
Open Polar |
collection |
TU Berlin: Deposit Once |
op_collection_id |
ftdepositonce |
language |
English |
topic |
550 Geowissenschaften boreal vegetation ordination permafrost predictive mapping remote sensing soil–vegetation interaction |
spellingShingle |
550 Geowissenschaften boreal vegetation ordination permafrost predictive mapping remote sensing soil–vegetation interaction Döpper, Veronika Panda, Santosh Waigl, Christine Braun, Matthias Feilhauer, Hannes Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska |
topic_facet |
550 Geowissenschaften boreal vegetation ordination permafrost predictive mapping remote sensing soil–vegetation interaction |
description |
Questions Is it possible to map floristic gradients in heterogeneous boreal vegetation by using remote‐sensing data? Does a continuous vegetation map enable the creation of a spatially continuous map of seasonal permafrost soil thaw depth? Location Bonanza Creek LTER, Fairbanks, Alaska, USA. Methods Vegetation records are subjected to an ordination to extract the predominant floristic gradient. The ordination scores are then extrapolated using Sentinel 2 imagery and a digital elevation model (DEM). As the relation between vegetation pattern and seasonal thaw depth was confirmed in this study, the spatial distribution of ordination scores is then used to predict seasonal thaw depth over the same area. Results The first dimension of the ordination space separates species corresponding to moist and cold soil conditions from species associated with well‐drained soils. This floristic gradient was successfully mapped within the sampled plant communities. The extrapolated thaw depths follow the typical distribution along a topographical and geomorphological gradient for this region. Besides vegetation information also DEM derivatives show high contributions to the thaw depth modeling. Conclusion We demonstrate that floristic gradient mapping in boreal vegetation is possible. The accuracy of the thaw depth prediction model is comparable to that in previous analyses but uses a more parsimonious set of predictors, underlining the efficacy of this approach. TU Berlin, Open-Access-Mittel – 2021 |
format |
Article in Journal/Newspaper |
author |
Döpper, Veronika Panda, Santosh Waigl, Christine Braun, Matthias Feilhauer, Hannes |
author_facet |
Döpper, Veronika Panda, Santosh Waigl, Christine Braun, Matthias Feilhauer, Hannes |
author_sort |
Döpper, Veronika |
title |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska |
title_short |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska |
title_full |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska |
title_fullStr |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska |
title_full_unstemmed |
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska |
title_sort |
using floristic gradient mapping to assess seasonal thaw depth in interior alaska |
publishDate |
2021 |
url |
https://depositonce.tu-berlin.de/handle/11303/13300 https://doi.org/10.14279/depositonce-12092 |
long_lat |
ENVELOPE(-119.820,-119.820,55.917,55.917) |
geographic |
Fairbanks Bonanza |
geographic_facet |
Fairbanks Bonanza |
genre |
permafrost Alaska |
genre_facet |
permafrost Alaska |
op_relation |
1654-109X 1402-2001 https://depositonce.tu-berlin.de/handle/11303/13300 http://dx.doi.org/10.14279/depositonce-12092 |
op_rights |
https://creativecommons.org/licenses/by-nc/4.0/ |
op_doi |
https://doi.org/10.14279/depositonce-12092 |
_version_ |
1770273399351803904 |