The relationship between species and spectral diversity in grassland communities is mediated by their vertical complexity

被引:35
作者
Conti, Luisa [1 ,2 ]
Malavasi, Marco [1 ]
Galland, Thomas [2 ,3 ]
Komarek, Jan [1 ]
Lagner, Ondrej [1 ]
Carmona, Carlos P. [4 ]
De Bello, Francesco [3 ,5 ]
Rocchini, Duccio [1 ,6 ]
Simova, Petra [1 ]
机构
[1] Czech Univ Life Sci Prague, Fac Environm Sci, Dept Spatial Sci, Prague, Czech Republic
[2] Czech Acad Sci, Inst Bot, Trebon, Czech Republic
[3] Univ South Bohemia, Fac Sci, Dept Bot, Ceske Budejovice, Czech Republic
[4] Univ Tartu, Inst Ecol & Earth Sci, Tartu, Estonia
[5] Ctr Invest Desertificac CSIC UV GV, Valencia, Spain
[6] Univ Bologna, Dept Biol Geol & Environm Sci, BIOME Lab, Alma Mater Studiorum, Bologna, Italy
基金
欧盟地平线“2020”;
关键词
community scale; grasslands; height diversity; mixed-effect models; multi-spectral sensor; remote sensing; species diversity; spectral diversity; taxonomic diversity; unmanned aerial vehicle (UAV); vertical stratification; VARIABILITY;
D O I
10.1111/avsc.12600
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
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 (S-Div) and taxonomic diversity (T-Div), and the influence of vertical complexity. Methods We used 196 1.5 m x 1.5 m experimental communities with different biodiversity levels. To measure vertical complexity, we quantified height diversity (H-Div) of the most abundant species in the community. T-Div 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 S-Div in a core area of 1 m x1 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 S-Div through mixed-effect linear models, using T-Div, H-Div, and their interaction as fixed-effect predictors. Results Contrary to our expectations, T-Div was negatively linked to S-Div. The diversity in plant height was positively related to S-Div. More importantly, diversity in plant height and T-Div had a significant negative interaction, meaning the more complex the vegetation was in terms of height, the more the S-Div-T-Div relationship became negative. Conclusions Our results suggest that in order to exploit the S-Div-T-Div 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 S-Div and functional diversity.
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页数:8
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