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Erschienen in:
Innovations in Remote Sensing of Forests Kapitel lesen Erstes Kapitel lesen

2017 | OriginalPaper | Buchkapitel

12. Modelling of Forest Ecosystems

verfasst von : Margarita N. Favorskaya, Lakhmi C. Jain

Erschienen in: Handbook on Advances in Remote Sensing and Geographic Information Systems

Verlag: Springer International Publishing

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Abstract

The main goal of the forest ecosystems’ modelling is to develop such approaches that can merge the general nature of processing models with the precision and predictive power of the empirical models. The long-term prediction of forest growth plays the significant role in a legal forest management. Some attempts to develop the prototype systems for data analysis and decision-making at forest enterprise level are implemented. However, this complicated scope requires the coordinated efforts of biologists, mathematicians, and programmers. The current situation is that the good biological and rendering models exist separately. In future, the generalized modelling ought to combine the influence of soil resources, also atmospheric, meteorological, and human impacts on the forest life-cycle with the realistic modelling and rendering of large-scale forests in the short-term and long-term frameworks.

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Vorheriges Kapitel Lighting and Shadows Rendering in Natural Scenes
Literatur
1.
Bao G, Li H, Zhang X, Dong W (2012) Large-scale forest rendering: real-time, realistic, and progressive. Comput Graph 36(3):140–151CrossRef
2.
Weber J, Penn J (1995) Creation and rendering of realistic trees. 22nd annual conference on computer graphics and interactive techniques SIGGRAPH 95, pp 119–128
3.
Mech R, Prusinkiewicz P (1996) Visual models of plants interacting with their environment. 23rd annual conference on computer graphics and interactive techniques SIGGRAPH 1996, pp 397–410
4.
5.
De Turckheim B (1999) Bases Economicas de la Selvicultura Proxima a la Naturaleza. Technical Meeting of Pro Silva, Valsain, Spain
6.
Martın-Fernandez S, Garcıa-Abril A (2005) Optimisation of spatial allocation of forestry activities within a forest stand. Comput Electron Agric 49(1):159–174CrossRef
7.
Gilet G, Meye A, Neyret F (2005) Point-based rendering of trees. 1st Eurographics conference on natural phenomena NPH 2005, pp 67–73
8.
9.
Fuhrmann AL, Umlauf E, Mantler S (2005) Extreme model simplification for forest rendering. 1st Eurographics conference on natural phenomena NPH 2005, pp 57–66
10.
Zhang H, Hua W, Wang Q, Bao H (2006) Fast display of large-scale forest with fidelity. Comput Anim Virtual Worlds 17(2):83–97CrossRef
11.
Liu F, Hua W, Bao H (2010) GPU-based dynamic quad stream for forest rendering. Sci China Inf Sci 53(8):1539–1545CrossRef
12.
Cohen F, Decaudin P, Neyret F (2004) GPU-based lighting and shadowing of complex natural scenes. ACM SIGGRAPH 2004 posters SIGGRAPH 2004, p 91
13.
Decaudin P, Neyret F (2004) Rendering forest scenes in real-time. Eurographics symposium on rendering techniques 2004, pp 93–102
14.
Decaudin P, Neyret F (2009) Volumetric billboards. Comput Graphics Forum 28(8):2079–2089
15.
Colditz C, Coconu L, Deussen O, Hege C (2005) Real-time rendering of complex photorealistic landscapes using hybrid level-of-detail approaches. In: Buhmann E, Paar P, Bishop I, Lange E (eds) Trends in real-time landscape visualization and participation. Wichmann Verlag
16.
17.
Gumbau J, Chover M, Remolar I, Rebollo C (2011) View-dependent pruning for real-time rendering of trees. Comput Graph 35(2):364–374CrossRef
18.
Bao G, Li H, Zhang X, Che W, Jaeger M (2011) Realistic real-time rendering for large-scale forest scenes. In: IEEE international symposium on VR innovation ISVRI 2011, pp 217–223
19.
Deng Q, Zhang X, Gay S, Lei X (2007) Continuous LOD model of coniferous foliage. Int J Virtual Reality 6(4):77–84
20.
Okamoto KW (2015) The dynamics of strangling among forest trees. J Theor Biol 384:95–104CrossRefMATH
21.
Vaganov EA, Hughes MK, Shashkin AV (2006) Growth dynamics of conifer tree rings: images of past and future environments. Ecological Studies. Springer, Berlin
22.
Tolwinski-Ward SE, Evans MN, Hughes MK, Anchukaitis KJ (2011) An efficient forward model of the climate controls on interannual variation in tree-ring width. Clim Dyn 36(11):2419–2439CrossRef
23.
Marco Mina M, Martin-Benito D, Bugmann H, Cailleret M (2016) Forward modeling of tree-ring width improves simulation of forest growth responses to drought. Agric For Meteorol 221:13–33CrossRef
24.
Li J, Wong DWS (2010) Effects of DEM sources on hydrologic applications. Comput Environ Urban Syst 34(3):251–261CrossRef
25.
Favorskaya M, Zotin A, Chunina A (2011) Procedural modeling of broad-leaved trees under weather conditions in 3D virtual reality. In: Tsihrintzis GA, Virvou M, Jain LC, Howlett RJ (eds) Intelligent interactive multimedia systems and services. Springer, Berlin
26.
Kajiya J, Kay T (1989) Rendering fur with three dimensional textures. Comput Graphics 23(3):271–280CrossRef
27.
Candussi A, Candussi N, Höllerer T (2005) Rendering realistic trees and forests in real time. Eurographics 2005:73–76
28.
Pirk S, Stava O, Kratt J, Said MAM, Neubert B, Mech R, Benes B, Deussen O (2012) Plastic trees: interactive self-adapting botanical tree models. ACM Trans Graphics 31(4):Article No. 50
29.
Deussen O, Hanrahan P, Lintermann B, Mech R, Pharr M, Prusinkiewicz P (1998) Realistic modeling and rendering of plant ecosystems. 25th annual conference on computer graphics and interactive techniques SIGGRAPH 1998, pp 275–286
30.
Zamuda A, Brest J (2013) Environmental framework to visualize emergent artificial forest ecosystems. Inf Sci 220:522–540CrossRef
31.
Benes B, Guerrero JMS (2004) Clustering in virtual plant ecosystems. In: International conferences in Central Europe on computer graphics, visualization and computer vision WSCG 2004, pp 9–16
32.
Lane B, Prusinkiewicz P (2002) Generating spatial distributions for multi-level models of plant communities. Graphics interface 2002 conference GI 2002, pp 69–80
33.
Hopkins B (1954) A new method for determining the type of distribution of plant individuals. Annals Botany XVIII:213–226
34.
Siitonen J, Martikainen P, Punttila P, Rauh J (2000) Coarse woody debris and stand characteristics in mature managed and old-growth boreal mesic forests in Southern Finland. For Ecol Manage 128(3):211–225CrossRef
35.
Weaver JK, Kenefic LS, Seymour RS, Brissette JC (2009) Decaying wood and tree regeneration in the acadian forest of Maine, USA. For Ecol Manag 257(7):1623–1628CrossRef
36.
Harmon ME, Franklin JF, Swanson FJ, Sollins P, Gregory SV, Lattin JD, Anderson NH, Cline SP, Aumen NG, Sedell JR, Lienkaemper GW, Cromack K Jr, Cummins KW (2004) Ecology of coarse woody debris in temperate ecosystems. Adv Ecol Res 34:59–234CrossRef
37.
Woodall C, Heath L, Smith J (2008) National inventories of down and dead woody material forest carbon stocks in the United States: challenges and opportunities. For Ecol Manage 256(3):221–228CrossRef
38.
Polewski P, Yao W, Heurich M, Krzystek P, Stilla U (2015) Detection of fallen trees in ALS point clouds using a normalized cut approach trained by simulation. ISPRS J Photogramm Remote Sens 105:252–271CrossRef
39.
Beven KJ, Kirkby MJ (1979) A physically based, variable contributing area model of basin hydrology. Hydrological Sci Bull 24:43–69CrossRef
40.
Storr D, Ferguson HL (1972) The distribution of precipitation in some mountainous Canadian watersheds. Geilo symposium—distribution of precipitation in mountainous areas (WMO/OMM), vol 326(1), pp 243–263
41.
Wolock DM, Hornberger GM, Beven KJ, Campbell WG (1989) The relationship of catchment topography and soil hydraulic characteristics to lake alkalinity in the North-eastern United States. Water Resour Res 25:829–837CrossRef
42.
O’Loughlin EM (1986) Prediction of surface saturation zones in natural catchments by topographical analysis. Water Resour Res 22(5):794–804CrossRef
43.
Zhang Q-L, Pang M-Y (2008) A survey of modeling and rendering trees. In: Pan Z, Zhang X, Rhalibi AE, Woo W, Li Y (eds) Technologies for E-learning and digital entertainment. Springer, Berlin
44.
Qu H, Wang Y, Cai L, Wang T, Lu Z (2012) Orange tree simulation under heterogeneous environment using agent-based model ORASIM. Simul Model Pract Theory 23:19–35CrossRef
45.
Favorskaya M, Tkacheva A (2016) Wind rendering in 3D landscape scenes. In: Tweedale JW, Neves-Silva R, Jain LC, Phillips-Wren G, Watada J, Howlett RJ (eds) Intelligent decision technology support in practice. Springer, Switzerland
46.
Zeng H, Talkkari A, Peltola H, Kellomaki S (2007) A GIS-based decision support system for risk assessment of wind damage in forest management. Enivron Model Softw 22(9):1240–1249
47.
Gardiner BA, Byrne KE, Hale S, Kamimura K, Mitchell SJ, Peltola H, Ruel J-C (2008) A review of mechanistic modelling of wind damage risk to forests. Forestry 81(3):447–463CrossRef
48.
Albrecht AT, Fortin M, Kohnle U, Ningre F (2015) Coupling a tree growth model with storm damage modeling—conceptual approach and results of scenario simulations. Environ Model Softw 69:63–76CrossRef
49.
Ray D, Bathgate S, Moseley D, Taylor P, Nicoll B, Pizzirani S, Gardiner B (2015) Comparing the provision of ecosystem services in plantation forests under alternative climate change adaptation management options in Wales. Reg Environ Change 15(8):1501–1513CrossRef
50.
Seidl R, Rammer W, Blennow K (2014) Simulating wind disturbance impacts on forest landscapes: tree-level heterogeneity matters. Environ Model Softw 51:1–11CrossRef
51.
Janz B, Storr D (1977) The climate of the contiguous mountain parks. Project no. 30, Applications and Consulting Division, Environment Canada, Edmonton
52.
Norris D (1966) Solar radiation on inclined surfaces. Sol Energy 10(2):72–76CrossRef
53.
Braun JE, Mitchell JC (1983) Solar geometry for fixed and tracking surfaces. Sol Energy 31(5):439–444CrossRef
54.
Sen Z (2004) Solar energy in progress and future research trends. Prog Energy Combust Sci 30(4):367–416CrossRef
55.
Zaksek K, Podobnikar T, Ostir K (2005) Solar radiation modelling. Comput Geosci 31(2):233–240CrossRef
56.
Kambezidis HD, Psiloglou BE, Karagiannis D, Dumka UC, Kaskaoutis DG (2016) Recent improvements of the meteorological radiation model for solar irradiance estimates under all-sky conditions. Renew Energy 93:142–158CrossRef
57.
Muneer T, Younes S, Munawwar S (2007) Discourses on solar radiation modeling. Renew Sustain Energy Rev 11(4):551–602CrossRef
58.
Bowman DMJS (2005) Understanding a flammable planet—climate, fire and global vegetation patterns. New Phytol 165(2):341–345MathSciNetCrossRef
59.
Taylor AH, Beaty RM (2005) Climatic influences on fire regimes in the Northern Sierra Nevada mountains, Lake Tahoe Basin, Nevada, USA. J Biogeography 32:425–438CrossRef
60.
Lynch AH, Beringer J, Kershaw P, Marshall A, Mooney S, Tapper N, Turney C, Van Der Kaars S (2007) Using the paleorecord to evaluate climate and fire interactions in Australia. Annu Rev Earth Planet Sci 35:215–239CrossRef
61.
Flannigan MD, Stocks BJ, Wotton BM (2000) Forest fires and climate change. Sci Total Environ 262:221–230CrossRef
62.
Angström A (1949) Swedish meteorological research 1939–1948. Tellus 1(1):60–64CrossRef
63.
McRae DJ, Conard SG, Ivanova GA, Sukhinin AI, Baker SP, Samsonov YN, Blanke TW, Ivanov VA, Ivanov AV, Churkina TV, Hao WM, Koutzenogi KP, Kovalev N (2006) Variability of fire behaviour, fire effects, and emissions in Scotch Pine forests of Central Siberia. Mitig Adapt Strat Glob Change 11:45–74CrossRef
64.
Arpaci A, Eastaugh CS, Vacik H (2013) Selecting the best performing fire weather indices for Austrian Ecozones. Theoret Appl Climatol 114:393–406CrossRef
65.
Skvarenina J, Mindas J, Holecy J, Tucek J (2003) Analysis of the natural and meteorological conditions during two largest forest fire events in the Slovak Paradise National Park. International Bioclimatological Workshop, pp 29–36
66.
Keetch JJ, Byram GM (1968) A drought index for forest fire control. Research paper SE-38. U.S. Department of Agriculture, Forest Service, Southeastern Forest Experiment Station, Asheville, North Carolina, p 32 (revised Nov 1988)
67.
Crane WJB (1982) Computing grassland and forest fire behaviour, relative humidity and drought index by pocket calculator. Australian For 45(2):89–97CrossRef
68.
Janis MJ, Johnson MB, Forthun G (2002) Near-real time mapping of Keetch-Byram Frought index in the South-Eastern United States. Int J Wildland Fire 11(3–4):281–289CrossRef
69.
Petritsch R, Hasenauer H (2014) Climate input parameters for real-time online risk assessment. Nat Hazards 70(3):1749–1762CrossRef
70.
Pietsch SA, Hasenauer H, Thornton PE (2005) BGC-model parameters for tree species growing in Central European forests. For Ecol Manage 211(3):264–295CrossRef
71.
Eastaugh CS, Hasenauer H (2014) Deriving forest fire ignition risk with biogeochemical process modelling. Environ Model Softw 55:132–142CrossRef
Metadaten
Titel
Modelling of Forest Ecosystems
verfasst von
Margarita N. Favorskaya
Lakhmi C. Jain
Copyright-Jahr
2017
Buch
Handbook on Advances in Remote Sensing and Geographic Information Systems

Print ISBN: 978-3-319-52306-4

Electronic ISBN: 978-3-319-52308-8

Copyright-Jahr: 2017

DOI
https://doi.org/10.1007/978-3-319-52308-8_12

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