The relationship between species and spectral diversity in grassland communities is mediated by their vertical complexity
Aims The link between spectral diversity and in‐situ plant biodiversity is one promising approach to using remote sensing for biodiversity assessment. Nevertheless, there is little evidence as to whether this link is maintained at fine scales, as well as to how it is influenced by vegetation's...
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| Vydáno v: | Applied vegetation science Ročník 24; číslo 3 |
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| Hlavní autoři: | , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
Malden
Wiley Subscription Services, Inc
01.07.2021
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| Témata: | |
| ISSN: | 1402-2001, 1654-109X |
| On-line přístup: | Získat plný text |
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| Shrnutí: | Aims
The link between spectral diversity and in‐situ plant biodiversity is one promising approach to using remote sensing for biodiversity assessment. Nevertheless, there is little evidence as to whether this link is maintained at fine scales, as well as to how it is influenced by vegetation's vertical complexity. Here we test, at the community level in grasslands, the link between diversity of the spectral signal (SDiv) and taxonomic diversity (TDiv), and the influence of vertical complexity.
Methods
We used 196 1.5 m × 1.5 m experimental communities with different biodiversity levels. To measure vertical complexity, we quantified height diversity (HDiv) of the most abundant species in the community. TDiv was calculated using the Shannon index based on species cover. Canopy spectral information was gathered using an unmanned aerial vehicle (UAV) mounted with a multi‐spectral sensor providing spectral information via six 10‐nm bands covering the visible and near‐infrared region at a spatial resolution of 3 cm. We measured SDiv in a core area of 1 m ×1 m within the communities as mean Euclidean distance of all pixels in a feature space spanned between the two first components of a PCA calculated for the complete raster stack. We modelled SDiv through mixed‐effect linear models, using TDiv, HDiv, and their interaction as fixed‐effect predictors.
Results
Contrary to our expectations, TDiv was negatively linked to SDiv. The diversity in plant height was positively related to SDiv. More importantly, diversity in plant height and TDiv had a significant negative interaction, meaning the more complex the vegetation was in terms of height, the more the SDiv–TDiv relationship became negative.
Conclusions
Our results suggest that in order to exploit the SDiv–TDiv link for monitoring purposes, it needs to be contextualized. Moreover, the results highlight that communities’ functional characteristics (i.e. plant height) mediate such a link, calling for new insights into the relation between SDiv and functional diversity.
Can we use spectral diversity (SDiv) to estimate plant taxonomic biodiversity (TDiv) at fine scales? How is canopy vertical complexity (HDiv) influencing this relationship? Using grassland communities and UAV‐derived spectral information we found that TDiv negatively interacts with HDiv to explain SDiv. The more vertical complexity, the more the SDiv–TDiv relationship became negative, highlighting the importance of contextualizing the relationship. |
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| Bibliografie: | This article is a part of the Special Feature "Remote Sensing for Vegetation Science" edited by Duccio Rocchini, Hannes Feilhauer, Sebastian Schmidtlein and Jana Müllerová. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISSN: | 1402-2001 1654-109X |
| DOI: | 10.1111/avsc.12600 |