Topographic Wetness Index calculation guidelines based on measured soil moisture and plant species composition

0547082 - BÚ 2022 RIV NL eng J - Článek v odborném periodiku
Kopecký, Martin - Macek, Martin - Wild, Jan
Topographic Wetness Index calculation guidelines based on measured soil moisture and plant species composition.
Science of the Total Environment. Roč. 757, 25 February (2021), č. článku 143785. ISSN 0048-9697. E-ISSN 1879-1026
Grant CEP: GA ČR(CZ) GA17-13998S
Institucionální podpora: RVO:67985939
Klíčová slova: compound topographic index * FD8 flow routing algorithm * soil moisture * volumetric water content * forest bryophytes * SAGA wetness index * TMS microclimate logger
Obor OECD: Ecology
Impakt faktor: 10.754, rok: 2021
Způsob publikování: Open access s časovým embargem
https://doi.org/10.1016/j.scitotenv.2020.143785

Soil moisture controls environmental processes and spedes distributions, but it is difficult to measure and interpolate across space. Topographic Wetness Index (TWI) derived from digital elevation model is therefore often used as a proxy for soil moisture. However, different algorithms can be used to calculate TWI and this potentially affects TWI relationship with soil moisture and species assemblages. To disentangle insufficiently-known effects of different algorithms on TWI relation with soil moisture and plant species composition, we measured the root-zone soil moisture throughout a growing season and recorded vascular plants and bryophytes in 45 temperate forest plots. For each plot, we calculated 26 TWI variants from a LiDAR-based digital terrain model and related these TWI variants to the measured soil moisture and moisture-controlled species assemblages of vascular plants and bryophytes. A flow accumulation algorithm determined the ability of the TWI to predict soil moisture, while the flow width and slope algorithms had only a small effects. The TWI calculated with the most often used single-flow D8 algorithm explained less than half of the variation in soil moisture and species composition explained by the TWI calculated with the multiple-flow FD8 algorithm. Flow dispersion used in the 1D8 algorithm strongly affected the TWI performance, and a flow dispersion dose to 1.0 resulted in the TWI best related to the soil moisture and spedes assemblages. Using downslope gradient instead of the local slope gradient can strongly decrease TWI performance. Our results clearly showed that the method used to calculate TWI affects study conclusion. However, TMI calculation is often not specified and thus impossible to reproduce and compare among studies. We therefore provide guidelines for TWI calculation and recommend the FD8 flow algorithm with a flow dispersion close to 1.0, flow width equal to the raster cell size and local slope gradient for TWI calculation.
Trvalý link: http://hdl.handle.net/11104/0325533