skip to main content
Language:
Search Limited to: Search Limited to: Resource type Show Results with: Show Results with: Search type Index

Procjena šumske biomase pomoći LIDAR tehnologije u degradiranim šumama brežuljkastoga i nizinskoga vegetacijskog pojasa u središnjoj Hrvatskoj

Digital Resources/Online E-Resources

Citations Cited by
  • Title:
    Procjena šumske biomase pomoći LIDAR tehnologije u degradiranim šumama brežuljkastoga i nizinskoga vegetacijskog pojasa u središnjoj Hrvatskoj
  • Author: Berta, Alen
  • Subjects: BIOTECHNICAL SCIENCES. Forestry. Forest Management ; BIOTEHNIČKE ZNANOSTI. Šumarstvo. Uređivanje šuma ; brdske šume ; degraded forests ; degradirane šume ; Ekologija. Očuvanje prirodnih resursa. Opasnosti za okoliš. Zaštita okoliša ; Environmental science. Conservation of natural resources. Threats to the environment and protection against them ; forest biomass ; hilly forests ; LIDAR ; lowland forests ; nizinske šume ; šumska biomasa
  • Description: Provider: - Institution: University of Zagreb. Faculty of Forestry. Department of Forest Inventory and Management. - Data provided by Europeana Collections- Radi praćenja količine vezanog (tzv. priljeva) i emitiranog (tzv. odljeva) ugljika, kao i praćenja promjena, pozitivnih i negativnih, u veličini rezervoara (ponora) ugljika potrebno je razviti brze i jednostavne metode pomoću kojih se u vrlo kratkom roku mogu sakupiti velike količine podataka na velikom području, potrebnih za obračun ovih parametara. To se može postići implementirajući LIDAR tehnologiju za obračun nadzemne biomase vegetacije na velikim područjima i posljedično obračun vezanog ugljika odnosno ugljičnog dioksida, što u Republici Hrvatskoj predstavlja prvo istraživanje ovakvog tipa. Jedan od ciljeva ovog istraživanja je izraditi model za utvrđivanje nadzemne biomase degradiranih šumskih područja u stadiju šikara (hipoteza 1), što je jedan od glavnih nedostajućih podataka pri određivanju količine vezanog ugljika i promjena u rezervoaru ugljika prilikom izrade Nacionalnog izviješća o stakleničkim plinovima. Također će se utvrditi utjecaj manjih gustoća oblaka točaka na konačni rezultat (hipoteza 2). Korištenje nižih gustoća LIDAR oblaka radi dobivanja zadovoljavajućih i dovoljno preciznih podataka je direktno povezano s troškom snimanja koje predstavlja najveću stavku troška u ovakvim projektima. Dio istraživanja je proveden u nizinskom području nadmorske visine približno 120 m, a drugi dio istraživanja je proveden u brežuljkastom području na nadmorskim visinama od približno 250 do 550 m. Terenskim prikupljanjem podataka (68 ploha), obradom LIDAR podataka (prosječne gustoće 1,38 točaka/m2) i na kraju regresijskim analizama izrađeni su regresijski modeli za procjenu biomase degradiranih šumskih područja nizinskog i brdskog vegetacijskog pojasa. Utvrđeno je da je izrađeni model za nizinsko područje koeficijenta determinacije (R2) 0,75, dok je za brdsko područje 0,60. Također je utvrđeno da gustoća oblaka točaka nema utjecaja na prikladnost modela do određenih granica (do 0,4 točke/m2) čime su obje hipoteze uspješno potvrđene. Primjenom izrađenih modela na cijelo područje, izračunate su vrijednosti šumske nadzemne biomase za cijelo istraživano područje. Isto tako, napravljena je usporedba prikladnosti izrađenih modela na osnovu rijeđih oblaka točaka za primjenu na cijelom području. Na kraju ovog istraživanja, osim taksativno navedenih određenih praktičnih zaključaka i ograničenja pri samom istraživanju (vremenska nesukladnost LIDAR i terenskih podataka, nepostojanje lokalnih modela za procjenu biomase pojedinih stabala i sl.), navedene su i preporuke za daljnja istraživanja (prevladavanje postojećih ograničenja, ponavljanje ovog tipa istraživanja za biogeografska područja koja nisu obuhvaćena ovim istraživanjem i uvrštavanje dodatnih podloga i sl.).- In order to enable monitoring of the sequestered and emitted carbon quantities as well as changes, both positive and negative, in the carbon pool size (sink), it is necessary to develop fast and simple methods that can be used to collect large amounts of data on vast areas in order to calculate these parameters. The aforementioned can be achieved by implementing LIDAR technology for the calculation of above-ground biomass in vast areas and, consequently, for the calculation of sequestered carbon i.e. carbon dioxide, which is the first research of this kind in the Republic of Croatia. One of the goals of this research is to create a model for determining above-ground biomass of degraded forest areas in thicket stadium (hypothesis 1), which is one of the main missing data for determining sequestered carbon quantities and changes in carbon sinks needed to create the Greenhouse Gasses National Inventory Report. Also, the influence of thinner point cloud to the final result (in comparison to the initial one) shall be established (hypothesis 2). Lower density LIDAR cloud utilization with the aim of achieving satisfactory and precise enough data directly correlates to the costs of scanning that is the single highest cost in such projects. A part of this research was conducted in the lowland area with altitude of approximately 120 m, whilst the other part of research was conducted in the hilly area with altitudes ranging from 250 to 550 m. Through field data collection (68 plots), processing of LIDAR data (average denstiy of 1.38 points/m2) and in the end regression analyses, regression models for the assessment of degraded forests biomass of lowland and hilly vegetation zone were developed. It was determined that the model for the lowland area had determination coefficient (R2) of 0.75, whilst for hilly area this coefficient was 0.60. The results also show that cloud point density does not affect appropriateness of the model to a certain extent (up to 0.4 points/m2) which successfully confirms both hypotheses. The application of created models to the entire area enabled calculation of forest above-ground biomass values for the whole researched area. Also, the comparison of appropriateness of thinner point cloud based models for the implementation on the entire area was conducted. Finally, apart from the list of practical conclusions and limitations that have arisen during the research (time incompliance of LIDAR and field data, lack of local models for the assessment of above-ground tree biomass, etc.), recommendations for further researches are stated ie. overcoming existing restrictions, repeating this kind of the research for the bio-geographic areas that were not encompassed with this research and introduction of additional data.- All metadata published by Europeana are available free of restriction under the Creative Commons CC0 1.0 Universal Public Domain Dedication. However, Europeana requests that you actively acknowledge and give attribution to all metadata sources including Europeana
  • Publisher: University of Zagreb. Faculty of Forestry. Department of Forest Inventory and Management
  • Creation Date: 2017
  • Language: Croatian
  • Source: Europeana Collections
Back to results list
INSPIRE LIBRARY - TON DUC THANG UNIVERSITY (84-028) 37 755 057 Feedback
19 Nguyen Huu Tho St. Dist.7, HCM thuvien@tdtu.edu.vn

Copyright © 2017 INSPIRE LIBRARY - TON DUC THANG UNIVERSITY

Searching Remote Databases, Please Wait