Advanced search
Showing result 1 - 5 of 11 essays matching the above criteria.
-
1. Applying LPJ-GUESS on the Arctic: A model evaluation and benchmarking study
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Warming in the Arctic occurs at a much higher rate than the global average, which has a considerable impact on the Arctic terrestrial carbon cycle. Permafrost thawing can release substantial amounts of carbon, whilst tundra shrubification and tree-line advance, on the other hand, may compensate for this. READ MORE
-
2. Evaluating a new hydraulic implementation in LPJ-GUESS for three sites in north Europe
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Drought is projected to increase in frequency and intensity and impacts trees with increased water stress and increased mortality rate. Water stresses can cause hydraulic failure-related mortality or carbon starvation due to tree species having different strategies to deal with water stresses. READ MORE
-
3. Evaluating the ability of LPJ-GUESS to simulate the tree size structures of tropical forests
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : 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. READ MORE
-
4. Multitask Convolutional Neural Network Emulators for Global Crop Models - Supervised Deep Learning in Large Hypercubes of Non-IID Data
University essay from Lunds universitet/Matematisk statistikAbstract : The aim of this thesis is to establish whether a neural network (NN) can be used for emulation of simulated global crop production - retrieved from the computationally demanding dynamic global vegetation model (DGVM) Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS). It has been devoted to elaboration with various types of neural network architectures: Branched NNs capable of processing inputs of mixed data types; Convolutional Neural Network (CNN) architectures able to perform automated temporal feature extraction of the given weather time series; simpler fully connected (FC) structures as well as Multitask NNs. READ MORE
-
5. Emulators for dynamic vegetation models - Supervised learning in large data sets
University essay from Lunds universitet/Matematisk statistikAbstract : The observed and expected changes in the environment due to human actions implies risks that future food production will be insufficient. Pre- dicting the impact these changes have on the agricultural system could be beneficial by allowing for proactive mitigating efforts. READ MORE
