Sökning: "tree size distributions"
Hittade 4 uppsatser innehållade orden tree size distributions.
1. Changes in the oak (Quercus robur) population in Dalby Söderskog national park 2011–2020 : stem size distribution, spatial distributions, vitality and mortality
Master-uppsats, SLU/Southern Swedish Forest Research CentreSammanfattning : A recent oak (Quercus robur) decline has been noticed and studied in Europe during the last few decades. This decline in combination with failure in natural regeneration could threaten not only oak populations, but also oak-associated species. LÄS MER
2. Evaluating the ability of LPJ-GUESS to simulate the tree size structures of tropical forests
Kandidat-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapSammanfattning : Tropical forests are of great importance to all living-beings due to their high biodiversity and the valu-able resources, such as food and fuel, they provide. In addition, tropical trees sequester a high amount of carbon and consequently over half of the global forest carbon stock can be found in the tropics. LÄS MER
3. Strukturella förändringar i Östergötlands skogar : En jämförelse mellan år 1927 och 1983–2017
Kandidat-uppsats, Linköpings universitet/BiologiSammanfattning : Humans have affected the Swedish forests for a long time, mainly through agriculture and forestry. Since the beginning of the 20th century, a lot of changes have taken place in forest policy, which have affected the structures of our forests, such as tree age, size and species distributions. LÄS MER
4. Evaluating inventory methods for estimating stem diameter distributions in micro stands derived from airborn laser scanning
Master-uppsats, SLU/Dept. of Forest Resource ManagementSammanfattning : A lot of research has focused on which laser metrics and which k-Nearest Neighbour (kNN) distances give the most accurate estimations. Most studies suggest that the kNN distance k-Most Similar Neighbour (kMSN) is the most accurate for estimating forest variables from local training data. LÄS MER