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Diurnal surface fuel moisture prediction model for Calabrian pine stands in Turkey

Ertugrul Bilgili (1), Kadir Alperen Coskuner (1), Yetkin Usta (1)   , Bulent Saglam (2), Omer Kucuk (3), Tolga Berber (4), Merih Goltas (5)

iForest - Biogeosciences and Forestry, Volume 12, Issue 3, Pages 262-271 (2019)
doi: https://doi.org/10.3832/ifor2870-012
Published: May 03, 2019 - Copyright © 2019 SISEF

Research Articles


This study presents a dynamic model for the prediction of diurnal changes in the moisture content of dead surface fuels in normally stocked Calabrian pine stands under varying weather conditions. The model was developed based on several empirical relationships between moisture contents of dead surface fuels and weather variables, and calibrated using field data collected from three Calabrian stands from three different regions of Turkey (Mugla, southwest; Antalya, south; Trabzon, north-east). The model was tested and validated with independent measurements of fuel moisture from two sets of field observations made during dry and rainy periods. Model predictions showed a mean absolute error (MAE) of 1.19% for litter and 0.90% for duff at Mugla, and 3.62% for litter and 14.38% for duff at Antalya. When two rainy periods were excluded from the analysis at Antalya site, the MAE decreased from 14.38% to 4.29% and R2 increased from 0.25 to 0.83 for duff fuels. Graphical inspection and statistical validation of the model indicated that the diurnal litter and duff moisture dynamics could be predicted reasonably. The model can easily be adapted for other similar fuel types in the Mediterranean region.

  Keywords


Fuel Moisture Content, Modeling, Drying Rate, Vapor Pressure Deficit

Authors’ address

(1)
Ertugrul Bilgili 0000-0003-1006-4991
Kadir Alperen Coskuner 0000-0001-5249-1604
Yetkin Usta 0000-0002-0504-6417
Karadeniz Technical University, Faculty of Forestry, 61080 Trabzon (Turkey)
(2)
Bulent Saglam
Artvin Coruh University, Faculty of Forestry, 08000 Artvin (Turkey)
(3)
Omer Kucuk 0000-0003-2639-8195
Kastamonu University, Faculty of Forestry, 37200 Kastamonu (Turkey)
(4)
Tolga Berber
Karadeniz Technical University, Faculty of Science, 61080 Trabzon (Turkey)
(5)
Merih Goltas
Istanbul University, Faculty of Forestry, 34100 Istanbul (Turkey)

Corresponding author

 
Yetkin Usta
yetkinusta@ktu.edu.tr

Citation

Bilgili E, Coskuner KA, Usta Y, Saglam B, Kucuk O, Berber T, Goltas M (2019). Diurnal surface fuel moisture prediction model for Calabrian pine stands in Turkey. iForest 12: 262-271. - doi: 10.3832/ifor2870-012

Academic Editor

Davide Ascoli

Paper history

Received: May 29, 2018
Accepted: Feb 27, 2019

First online: May 03, 2019
Publication Date: Jun 30, 2019
Publication Time: 2.17 months

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List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Agam N, Berliner PR (2006)
Dew formation and water vapor adsorption in semi-arid environments. A review. Journal of Arid Environments. 65. 4: 572-590.
CrossRef | Gscholar
(2)
Anderson HE, Schuetta RD, Mutch RW (1978)
Timelag and equililbrium moisture content of ponderosa pine needles. Research Paper INT-202, USDA Forest Service, Ogden, Utah, USA, pp. 1-29.
Gscholar
(3)
Bilgili E, Coskuner KA, Usta Y, Goltas M (2018)
Modeling surface fuels moisture content in Pinus brutia stands. Journal of Forestry Research 30 (2): 577-587.
CrossRef | Gscholar
(4)
Blackmarr WH (1971)
Equilibrium moisture content of common fine fuels found in southeastern forests. Research Paper SE-74, USDA Forest Service, Asheville, NC, USA, pp. 1-8.
Gscholar
(5)
Bonan G (2008)
Ecological climatology. Cambridge University Press, Cambridge, UK, pp. 201.
Gscholar
(6)
Byram GM (1963)
An analysis of the drying process in forest fuel material. In: Proceedings of the International Symposium “Humidity and Moisture”. Washington (DC, USA) 20-23 May 1963, pp. 1-38.
Gscholar
(7)
Catchpole EA, Catchpole WR, Viney NR, McCaw WL, Marsden-Smedley JB (2001)
Estimating fuel response time and predicting fuel moisture content from field data. International Journal of Wildland Fire 10 (2): 215-222.
CrossRef | Gscholar
(8)
Cook RD (1994)
An introduction to regression graphics. John Wiley and Sons, New York, USA, pp. 253.
Gscholar
(9)
De Dios VR, Fellows AW, Nolan RH, Boer MM, Bradstock RA, Domingo F, Goulden ML (2015)
A semi-mechanistic model for predicting the moisture content of fine litter. Agricultural and Forest Meteorology 203:64-73.
CrossRef | Gscholar
(10)
GDF (2015)
Forests and forestry in Turkey. General Directorate of Forestry, Ministry of Forestry, Ankara, Turkey, pp. 12.
Gscholar
(11)
Gonzalez ADR, Hidalgo JAV, Gonzalez JGA (2009)
Construction of empirical models for predicting Pinus sp. dead fine fuel moisture in NW Spain. I: Response to changes in temperature and relative humidity. International Journal of Wildland Fire 18 (1): 71-83.
CrossRef | Gscholar
(12)
Huang S, Yang Y, Wang Y (2003)
A critical look at procedures for validating growth and yield models. In: “Modelling Forest Systems” (Amaro A, Reed D, Soares P). Wallingford, UK, pp. 271-293.
Gscholar
(13)
Johnson EA, Keith DM, Martin YE (2013)
Comparing measured duff moisture with a water budget model and the duff and drought codes of the Canadian Fire Weather Index. Forest Science 59 (1): 78-92.
CrossRef | Gscholar
(14)
Jose RS, Perez JL, Gonzalez RM, Pecci J, Palacios M (2013)
Sensitivity analysis of fire behaviour simulations over Spain Wth Wrf-fire. In: Proceedings of the International Conference “Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes”. Madrid (Spain) 6-9 May 2013, pp. 138-143.
CrossRef | Gscholar
(15)
Keith DM, Johnson EA, Valeo C (2010)
Moisture cycles of the forest floor organic layer (F and H layers) during drying. Water Resources Research. 46: 7.
CrossRef | Gscholar
(16)
Lawson BD, Armitage OB (2008)
Weather guide for the Canadian forest fire danger rating system. Canadian Forestry Service Northern Forestry Center, Edmonton, Alberta, Canada, pp. 73.
Gscholar
(17)
Lopes S, Viegas DX, De Lemos LT, Viegas MT (2014a)
Equilibrium moisture content and timelag of dead Pinus pinaster needles. International Journal of Wildland Fire 23 (5): 721-732.
CrossRef | Gscholar
(18)
Lopes S, Viegas DX, Lemos LD, Viegas MT (2014b)
Rainfall effects on fine forest fuels moisture content. In: “Advances in Forest Fire Research” (Viegas DX eds). Imprensa da Universidade de Coimbra, Portugal, pp. 1256-1263.
Gscholar
(19)
Matthews S (2006)
A process-based model of fine fuel moisture. International Journal of Wildland Fire 15 (2): 155-168.
CrossRef | Gscholar
(20)
Matthews S, McCaw WL, Neal JE, Smith RH (2007)
Testing a process-based fine fuel moisture model in two forest types. Canadian Journal of Forest Research 37 (1): 23-35.
CrossRef | Gscholar
(21)
Matthews S (2014)
Dead fuel moisture research: 1991-2012. International Journal of Wildland Fire 23 (1): 78-92.
CrossRef | Gscholar
(22)
Monteith JL (1963)
Gas exchange in plant communities. In: “Environmental Control of Plant Growth” (Evans LT ed). Academic Press, New York, USA, pp. 95-112.
Gscholar
(23)
Nelson RM (1984)
A method for describing equilibrium moisture-content of forest fuels. Canadian Journal of Forest Research 14 (4): 597-600.
CrossRef | Gscholar
(24)
Nelson RM (2000)
Prediction of diurnal change in 10-h fuel stick moisture content. Canadian Journal of Forest Research 30 (7): 1071-1087.
CrossRef | Gscholar
(25)
Nelson RM (2001)
Water relations of forest fuels. In: “Forest Fires: Behaviour and Ecological Effects” (Johnson EA, Miyanishi K eds). Academic Press, San Diego, USA, pp. 79-149.
Gscholar
(26)
Nolan RH, De Dios VR, Boer MM, Caccamo G, Goulden ML, Bradstock RA (2016)
Predicting dead fine fuel moisture at regional scales using vapour pressure deficit from MODIS and gridded weather data. Remote Sensing of Environment 174: 100-108.
CrossRef | Gscholar
(27)
Pook EW, Gill AM (1993)
Variation of live and dead fine fuel moisture in Pinus radiata plantations of the Australian-Capital-Territory. International Journal of Wildland Fire 3 (3): 155-168.
CrossRef | Gscholar
(28)
Pook EW (1993)
Empirical models evaluated for prediction of fine fuel moisture in Australian Pinus radiata plantations. New Zealand Journal of Forestry Science 23 (3): 278-297.
Online | Gscholar
(29)
Rothermel RC, Wilson RA, Morris GA, Sackett SS (1986)
Modeling moisture content of fine dead wildland fuels - input to the behave fire prediction system. Research Paper 359, Intermountain Research Station, USDA Forest Service, Ogden, Utah, USA, pp. 1-61.
Gscholar
(30)
Saglam B, Bilgili E, Kucuk O, Dincdurmaz B (2006)
Determination of surface fuels moisture contents based on weather conditions. Forest Ecology and Management. 1: 234.
CrossRef | Gscholar
(31)
Sato Y, Kumagai T, Kume A, Otsuki K, Ogawa S (2004)
Experimental analysis of moisture dynamics of litter layers - the effects of rainfall conditions and leaf shapes. Hydrological Processes 18 (16): 3007-3018.
CrossRef | Gscholar
(32)
Schaap MG, Bouten W, Verstraten JM (1997)
Forest floor water content dynamics in a Douglas fir stand. Journal of Hydrology. 201 (1-4): 367-383.
CrossRef | Gscholar
(33)
Schroeder M, Buck C (1970)
Fire weather: a guide for application of meteorological information to forest fire control operations. Agriculture Handbook 360, USDA Forest Service, Intermountain Research Station, Ogden, UT, USA, pp. 360.
Online | Gscholar
(34)
Schunk C, Leutner C, Leuchner M, Wastl C, Menzel A (2013)
Equilibrium moisture content of dead fine fuels of selected central European tree species. International Journal of Wildland Fire 22 (6): 797-809.
CrossRef | Gscholar
(35)
Sievanen R, Burk TE, Ek AR (1988)
Construction of a stand growth-model utilizing photosynthesis and respiration relationships in individual trees. Canadian Journal of Forest Research 18 (8): 1027-1035.
CrossRef | Gscholar
(36)
Simard AJ (1968)
The moisture content of forest fuels - I. A review of basic concepts. Report no. FF-X-14, Canadian Department of Forest and Rural Development, Forest Fire Research Institute, Ottawa, Ontario, Canada, pp. 47.
Gscholar
(37)
Slijepcevic A, Anderson WR, Matthews S (2013)
Testing existing models for predicting hourly variation in fine fuel moisture in eucalypt forests. Forest Ecology and Management 306: 202-215.
CrossRef | Gscholar
(38)
SPSS Inc. (2013)
IBM SPSS Statistics for Windows, ver 22.0. IBM Corp., Armonk, NY, USA.
Gscholar
(39)
Tanskanen H, Granstrom A, Venalainen A, Puttonen P (2006)
Moisture dynamics of moss-dominated surface fuel in relation to the structure of Picea abies and Pinus sylvestris stands. Forest Ecology and Management. 226 1 (3): 189-198.
CrossRef | Gscholar
(40)
Tavsanoglu C, Gürkan B (2009)
Post-fire regeneration of a Pinus brutia (Pinaceae) forest in Marmaris National Park, Turkey. International Journal of Botany 5 (1): 107-111.
CrossRef | Gscholar
(41)
Turna I, Bilgili E (2006)
Effect of heat on seed germination of Pinus sylvestris and Pinus nigra ssp. pallasiana. International Journal of Wildland Fire 15 (2): 283-286.
CrossRef | Gscholar
(42)
Van Wagner CE (1972)
Equilibrium moisture contents of some fine forest fuels in eastern Canada. Petawawa Forest Experimental Station, Chalk River, Ontario, Canada, pp. 11.
Gscholar
(43)
Van Wagner CE (1977)
A method of computing fine fuel moisture content throughout the diurnal cycle. Information Report PS-X-69, Canadian Forest Service, Chalk River, Ontario, Canada, pp. 15.
Gscholar
(44)
Van Wagner CE (1979)
A laboratory study of weather effects on the drying rate of jack pine litter. Canadian Journal of Forest Research 9 (2): 267-275.
CrossRef | Gscholar
(45)
Van Wagner CE (1987)
Development and structure of the Canadian forest fire weather index system. Technical Report PS-X-35, Ottawa, Ontario, Canada, pp. 37.
Gscholar
(46)
Viney NR, Hatton TJ (1990)
Modelling the effect of condensation on the moisture content of forest litter. Agricultural and Forest Meteorology 51 (1): 51-62.
CrossRef | Gscholar
(47)
Viney NR (1991)
A review of fine fuel moisture modelling. International Journal of Wildland Fire 1 (4): 215-234.
CrossRef | Gscholar
(48)
Wallace JM, Hobbs PV (2006)
Atmospheric science: an introductory survey. Academic Press, San Diego, CA, USA, pp. 504.
Gscholar
(49)
Wittich KP (2005)
A single-layer litter-moisture model for estimating forest-fire danger. Meteorologische Zeitschrift 14 (2): 157-164.
CrossRef | Gscholar
(50)
Xiao QF, McPherson EG, Ustin SL, Grismer ME (2000)
A new approach to modeling tree rainfall interception. Journal of Geophysical Research - Atmospheres 105 (D23): 29173-29188.
CrossRef | Gscholar
 

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