How is forest decline assessed at the plot level ?
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Forest decline at the plot level is assessed through various methods such as geostatistics analysis, multi-criteria decision analysis, and plot-based forest sampling . Geostatistics analysis involves monitoring groundwater levels and using the Kriging method to spatially distribute groundwater levels, which helps in determining the risk of forest decline based on deviations from reference levels . Plot-based methods for assessing forest decline require extensive data collection, including not only trees but also other biodiversity components like animals, herbs, and fungi, to capture a comprehensive picture of forest status and changes . Additionally, tools like Plot-To-Map can validate the accuracy of above-ground biomass (AGB) maps by harmonizing plot data and addressing spatial and temporal gaps . These integrated approaches provide a holistic understanding of forest decline at the plot level.
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| Papers (5) | Insight |
|---|---|
27 Oct 2015 | Forest decline at the plot level is assessed using terrestrial laser scanning (TLS) technology, which provides detailed structural information surpassing traditional methods, enabling comprehensive forest assessment and monitoring. |
17 Jul 2022 | Plot-To-Map assesses forest decline at the plot level by validating above-ground biomass maps using plot data, addressing spatial and temporal gaps, and modeling bias to improve accuracy. |
| Forest decline at the plot level is assessed using geostatistics for groundwater levels and multi-criteria analysis (AHP, PROMETHEE II) based on factors like water deviation, species water demand, and conservation status. | |
| Forest decline at the plot level is assessed through plot-based forest sampling, focusing on biodiversity changes like tree species. However, this method may not capture all biodiversity elements effectively. | |
6 Citations | Forest decline at the plot level is assessed by analyzing forest structure, vegetation, deadwood volume, and alpha diversity using multi-dimensional data from the BioSoil Forest Biodiversity project. |
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