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Title (Primary) Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska
Author Döpper, V.; Panda, S.; Waigl, C.; Braun, M.; Feilhauer, H.
Journal Applied Vegetation Science
Year 2021
Department RS
Volume 24
Issue 1
Page From e12561
Language englisch
Topic T5 Future Landscapes
Supplements https://onlinelibrary.wiley.com/action/downloadSupplement?doi=10.1111%2Favsc.12561&file=avsc12561-sup-0001-Appenndix.docx
Keywords boreal vegetation; ordination; permafrost; predictive mapping; remote sensing; soil‐vegetation interaction
Abstract

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 previous analyses but uses a more parsimonious set of predictors, underlining the efficacy of this approach.

Persistent UFZ Identifier https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24133
Döpper, V., Panda, S., Waigl, C., Braun, M., Feilhauer, H. (2021):
Using floristic gradient mapping to assess seasonal thaw depth in interior Alaska
Appl. Veg. Sci. 24 (1), e12561