With the increase in human demands for energy, purpose-grown woody crops could be part of the global renewable energy solution, especially in geographical regions where plantation forestry is feasible and economically significant.
However, up to now, it is still a challenging task to accurately and rapidly estimate forest biomass. Various solutions have been developed for estimating forest biomass. As we know, the only way to measure forest biomass implies directly cutting and weighing the mass of all trees in a plot. Unfortunately, the measurements of national-wide forest biomass cannot be conducted now due to restrictions like labor cost, non-destructive measurement requirements, etc. Meanwhile, obtaining permission to fell trees only for scientific purposes in China is difficult. Therefore, in my study, biomass is defined as the aboveground volume of trees as well as stands.
Collecting this information at a national scale has been difficult for China because the data are scarce. The forest biomass inventory in some regions of China was designed to use available inventory data, especially volume, to derive biomass estimates. So volume-derived biomass methods have been applied in estimating forest biomass conventionally.
In many research sites of my study, only the volume-related information is available in the forest inventory, which requires the volume-based method to understand the biomass yield in practice. Also, many forest scientists use volume-based models and conversion factors (e. g. from a wood density database) to derive the actual forest biomass arithmetically. Therefore, the output of a volume-based model may support many other calculations relevant to the evaluation of tree growth, potential productivity, and carbon stock.
There are relatively few studies on biomass models of Short Rotation Forest(SRF) in China, and there is a lack of a general SRF biomass model. Therefore, we carried out a broad survey and critical review of all data from the different regions in China and formed a normalized tree biomass dataset for China. Based on these reasons, the biomass simulation of poplar plantations was carried out. The growth mechanism of SRF was studied on the stand scale. The influence of climate conditions and stand density on tree growth was discussed to achieve a breakthrough in scientific research at the model level. A general SRF biomass model based on growth conditions and planting density was established based on the stand height growth equation. We can summarize the research objectives as follows：
◆To find the influencing factors on the growth of short rotation poplar plantations
◆To find the relationship between biomass and tree height in short rotation poplar plantations
◆Construction and validation of tree height model of short rotation poplar plantations
◆Construction and validation of biomass model of short rotation poplar plantations
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:77439 |
| Date | 18 January 2022 |
| Creators | Wei, Yuan |
| Contributors | Röhle, Heinz, Schröder, Jens, Heil, Bálint, Technische Universität Dresden |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
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