FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2154607623> ?p ?o ?g. }

• W2154607623 endingPage "e0138450" @default.
• W2154607623 startingPage "e0138450" @default.
• W2154607623 abstract "A large and growing body of evidence has demonstrated that airborne scanning light detection and ranging (lidar) systems can be an effective tool in measuring and monitoring above-ground forest tree biomass. However, the potential of lidar as an all-round tool for assisting in assessment of carbon (C) stocks in soil and non-tree vegetation components of the forest ecosystem has been given much less attention. Here we combine the use airborne small footprint scanning lidar with fine-scale spatial C data relating to vegetation and the soil surface to describe and contrast the size and spatial distribution of C pools within and among multilayered Norway spruce (Picea abies) stands. Predictor variables from lidar derived metrics delivered precise models of above- and below-ground tree C, which comprised the largest C pool in our study stands. We also found evidence that lidar canopy data correlated well with the variation in field layer C stock, consisting mainly of ericaceous dwarf shrubs and herbaceous plants. However, lidar metrics derived directly from understory echoes did not yield significant models. Furthermore, our results indicate that the variation in both the mosses and soil organic layer C stock plots appears less influenced by differences in stand structure properties than topographical gradients. By using topographical models from lidar ground returns we were able to establish a strong correlation between lidar data and the organic layer C stock at a stand level. Increasing the topographical resolution from plot averages (~2000 m2) towards individual grid cells (1 m2) did not yield consistent models. Our study demonstrates a connection between the size and distribution of different forest C pools and models derived from airborne lidar data, providing a foundation for future research concerning the use of lidar for assessing and monitoring boreal forest C." @default.
• W2154607623 created "2016-06-24" @default.
• W2154607623 creator A5028879948 @default.
• W2154607623 creator A5034250940 @default.
• W2154607623 creator A5048776264 @default.
• W2154607623 creator A5054263530 @default.
• W2154607623 creator A5083170847 @default.
• W2154607623 date "2015-10-01" @default.
• W2154607623 modified "2023-09-30" @default.
• W2154607623 title "Mapping Above- and Below-Ground Carbon Pools in Boreal Forests: The Case for Airborne Lidar" @default.
• W2154607623 cites W1484806434 @default.
• W2154607623 cites W1496824059 @default.
• W2154607623 cites W1621691452 @default.
• W2154607623 cites W1640759159 @default.
• W2154607623 cites W1815486494 @default.
• W2154607623 cites W1865496355 @default.
• W2154607623 cites W1965057675 @default.
• W2154607623 cites W1965974613 @default.
• W2154607623 cites W1975014118 @default.
• W2154607623 cites W1979920862 @default.
• W2154607623 cites W1980000261 @default.
• W2154607623 cites W1981827347 @default.
• W2154607623 cites W1983235217 @default.
• W2154607623 cites W1983513512 @default.
• W2154607623 cites W1986824250 @default.
• W2154607623 cites W1996022982 @default.
• W2154607623 cites W1996263757 @default.
• W2154607623 cites W1996702045 @default.
• W2154607623 cites W1999092726 @default.
• W2154607623 cites W2000345291 @default.
• W2154607623 cites W2009974414 @default.
• W2154607623 cites W2012714768 @default.
• W2154607623 cites W2017131791 @default.
• W2154607623 cites W2017225770 @default.
• W2154607623 cites W2021793377 @default.
• W2154607623 cites W2021921574 @default.
• W2154607623 cites W2024400314 @default.
• W2154607623 cites W2031419936 @default.
• W2154607623 cites W2036653581 @default.
• W2154607623 cites W2038224994 @default.
• W2154607623 cites W2040333894 @default.
• W2154607623 cites W2046815978 @default.
• W2154607623 cites W2047549682 @default.
• W2154607623 cites W2049452581 @default.
• W2154607623 cites W2054123561 @default.
• W2154607623 cites W2054325787 @default.
• W2154607623 cites W2054503844 @default.
• W2154607623 cites W2055314812 @default.
• W2154607623 cites W2056380340 @default.
• W2154607623 cites W2057836098 @default.
• W2154607623 cites W2059170917 @default.
• W2154607623 cites W2059495078 @default.
• W2154607623 cites W2063920246 @default.
• W2154607623 cites W2070273216 @default.
• W2154607623 cites W2078309710 @default.
• W2154607623 cites W2080350338 @default.
• W2154607623 cites W2082012651 @default.
• W2154607623 cites W2084113824 @default.
• W2154607623 cites W2085741981 @default.
• W2154607623 cites W2086128494 @default.
• W2154607623 cites W2086581980 @default.
• W2154607623 cites W2086783159 @default.
• W2154607623 cites W2093449654 @default.
• W2154607623 cites W2095877146 @default.
• W2154607623 cites W2097337758 @default.
• W2154607623 cites W2104275888 @default.
• W2154607623 cites W2106446186 @default.
• W2154607623 cites W2108920378 @default.
• W2154607623 cites W2109631166 @default.
• W2154607623 cites W2115271799 @default.
• W2154607623 cites W2116395914 @default.
• W2154607623 cites W2126507922 @default.
• W2154607623 cites W2126853228 @default.
• W2154607623 cites W2127593414 @default.
• W2154607623 cites W2130776472 @default.
• W2154607623 cites W2133160971 @default.
• W2154607623 cites W2140151904 @default.
• W2154607623 cites W2141505345 @default.
• W2154607623 cites W2162298841 @default.
• W2154607623 cites W2167518054 @default.
• W2154607623 cites W2169634634 @default.
• W2154607623 cites W2316092448 @default.
• W2154607623 cites W2321069740 @default.
• W2154607623 cites W2590381582 @default.
• W2154607623 cites W4254423309 @default.
• W2154607623 cites W650487803 @default.
• W2154607623 doi "https://doi.org/10.1371/journal.pone.0138450" @default.
• W2154607623 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4591287" @default.
• W2154607623 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26426532" @default.
• W2154607623 hasPublicationYear "2015" @default.
• W2154607623 type Work @default.
• W2154607623 sameAs 2154607623 @default.
• W2154607623 citedByCount "21" @default.
• W2154607623 countsByYear W21546076232015 @default.
• W2154607623 countsByYear W21546076232016 @default.
• W2154607623 countsByYear W21546076232017 @default.
• W2154607623 countsByYear W21546076232018 @default.
• W2154607623 countsByYear W21546076232019 @default.

• next