FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3032247621> ?p ?o ?g. }

• W3032247621 endingPage "106520" @default.
• W3032247621 startingPage "106520" @default.
• W3032247621 abstract "An indirect method for estimating biodiversity from Earth observations is the Spectral Variation Hypothesis (SVH). SVH states that the higher the spatial variability of the spectral response of an optical remotely sensed image, the higher the number of available ecological niches and hence, the higher the diversity of tree species in the considered area. Here for the first time we apply the concept of the SVH to Light Detection and Ranging (LiDAR) data to understand the relationship between the height heterogeneity (HH) of a forest and its tree species diversity, a concept we have named the ‘Height Variation Hypothesis’ (HVH). We tested HVH in two different European forest types: a coniferous mountain forest in the eastern Italian Alps and a mixed temperate forest in southern Germany. We used the heterogeneity index Rao’s Q to estimate HH using a Canopy Height Model (CHM) at different resolutions derived from LiDAR data, and linear regression models and relation analysis to assess the relationships between HH and three species diversity indices derived from in situ collected data: Shannon’s H, Simpson’s S and species richness. The relationships were calculated for all plots in both study areas, and separately for plots with a defined Canopy Closure (CC > 70%, CC > 80%, CC > 90%) to understand the effect of forest density on the relationship between HH and tree species diversity. Our results showed that HH is related to the tree species diversity of the forest ecosystems reaching (in the case of Shannon’s H) values of R2 = 0.63 for the coniferous mountain forest and R2 = 0.56 for the mixed temperate forest, particularly when calculated with a CHM resolution of 2.5 m. The associations also increased with increasing canopy closure suggesting that HVH is scale and forest density dependent. Our results also underlined that the abundance-based diversity measures are more highly correlated with HH than with species richness. Finally, our findings suggest that the HVH is a valuable tool for assessing tree species diversity in forest ecosystems, and could also be useful for overall biodiversity estimates." @default.
• W3032247621 created "2020-06-05" @default.
• W3032247621 creator A5008299584 @default.
• W3032247621 creator A5025027394 @default.
• W3032247621 creator A5025120768 @default.
• W3032247621 creator A5027950463 @default.
• W3032247621 creator A5053455920 @default.
• W3032247621 creator A5055399138 @default.
• W3032247621 creator A5075205834 @default.
• W3032247621 creator A5076078026 @default.
• W3032247621 date "2020-10-01" @default.
• W3032247621 modified "2023-10-03" @default.
• W3032247621 title "Height variation hypothesis: A new approach for estimating forest species diversity with CHM LiDAR data" @default.
• W3032247621 cites W1542024621 @default.
• W3032247621 cites W1902957640 @default.
• W3032247621 cites W1965431014 @default.
• W3032247621 cites W1967621805 @default.
• W3032247621 cites W1967687438 @default.
• W3032247621 cites W1970437612 @default.
• W3032247621 cites W1973472905 @default.
• W3032247621 cites W1983818779 @default.
• W3032247621 cites W1994017316 @default.
• W3032247621 cites W1995875735 @default.
• W3032247621 cites W1998406443 @default.
• W3032247621 cites W1998786766 @default.
• W3032247621 cites W1999601230 @default.
• W3032247621 cites W2002541448 @default.
• W3032247621 cites W2009585614 @default.
• W3032247621 cites W2014909227 @default.
• W3032247621 cites W2019477213 @default.
• W3032247621 cites W2019549520 @default.
• W3032247621 cites W2022925498 @default.
• W3032247621 cites W2035389732 @default.
• W3032247621 cites W2039963291 @default.
• W3032247621 cites W2047342866 @default.
• W3032247621 cites W2047506045 @default.
• W3032247621 cites W2059737127 @default.
• W3032247621 cites W2062350328 @default.
• W3032247621 cites W2064403203 @default.
• W3032247621 cites W2068663223 @default.
• W3032247621 cites W2072321309 @default.
• W3032247621 cites W2077379212 @default.
• W3032247621 cites W2083698348 @default.
• W3032247621 cites W2086783159 @default.
• W3032247621 cites W2091301299 @default.
• W3032247621 cites W2099410216 @default.
• W3032247621 cites W2101077235 @default.
• W3032247621 cites W2109191549 @default.
• W3032247621 cites W2113397378 @default.
• W3032247621 cites W2115696621 @default.
• W3032247621 cites W2118935088 @default.
• W3032247621 cites W2122798004 @default.
• W3032247621 cites W2124622654 @default.
• W3032247621 cites W2129802470 @default.
• W3032247621 cites W2130094125 @default.
• W3032247621 cites W2144743642 @default.
• W3032247621 cites W2145243492 @default.
• W3032247621 cites W2149226564 @default.
• W3032247621 cites W2149621874 @default.
• W3032247621 cites W2154804450 @default.
• W3032247621 cites W2154810777 @default.
• W3032247621 cites W2156808278 @default.
• W3032247621 cites W2157890605 @default.
• W3032247621 cites W2159836276 @default.
• W3032247621 cites W2162655965 @default.
• W3032247621 cites W2164198104 @default.
• W3032247621 cites W2164790386 @default.
• W3032247621 cites W2175723257 @default.
• W3032247621 cites W2262390230 @default.
• W3032247621 cites W2327289154 @default.
• W3032247621 cites W2338399314 @default.
• W3032247621 cites W2518211819 @default.
• W3032247621 cites W2585546872 @default.
• W3032247621 cites W2588982887 @default.
• W3032247621 cites W2626736357 @default.
• W3032247621 cites W2760102044 @default.
• W3032247621 cites W2762416812 @default.
• W3032247621 cites W2771522049 @default.
• W3032247621 cites W2772662334 @default.
• W3032247621 cites W2773637229 @default.
• W3032247621 cites W2779279532 @default.
• W3032247621 cites W2913921854 @default.
• W3032247621 cites W2929603229 @default.
• W3032247621 cites W2936006296 @default.
• W3032247621 cites W2948148985 @default.
• W3032247621 cites W2953577330 @default.
• W3032247621 cites W2990593724 @default.
• W3032247621 cites W4238601639 @default.
• W3032247621 doi "https://doi.org/10.1016/j.ecolind.2020.106520" @default.
• W3032247621 hasPublicationYear "2020" @default.
• W3032247621 type Work @default.
• W3032247621 sameAs 3032247621 @default.
• W3032247621 citedByCount "29" @default.
• W3032247621 countsByYear W30322476212021 @default.
• W3032247621 countsByYear W30322476212022 @default.
• W3032247621 countsByYear W30322476212023 @default.
• W3032247621 crossrefType "journal-article" @default.
• W3032247621 hasAuthorship W3032247621A5008299584 @default.

• next