ORIGINAL_ARTICLE
Nutritional value and heavy metal content of fishmeal from the Southwest Caspian Sea
This study aimed to evaluate some nutritional values and heavy metal contents of fishmeal produced by the commercial factories in Guilan Province, the Southwest Caspian Sea. The fishmeal samples were randomly collected from five factories producing fishmeal by Kilka (Clupeonella spp.) (units 1-4) and tuna canning offal (unit 5) as the raw materials. Proximate fish composition, amino acid contents and four heavy metal concentrations including chromium (Cr), cadmium (Cd), lead (Pb), and mercury (Hg) were measured in the fishmeal specimens. Crude protein contents were found to be in the range of 53.61-68.82% and the lowest value belonged to the unit 5. Also, the highest level of fat and ash contents were 22.49% and 18.05%, respectively (p < 0.05). The lowest essential: nonessential amino acid ratio was 0.71 in unit 5. Fishmeal specimens from unit 5 showed the highest metal concentrations with the following descending order: Cr > Cd > Pb > Hg. Results indicated that the heavy metal concentrations in the fishmeal are dependent on the source of raw materials.The heavy metal concentrations in the examined fishmeal did not exceed the permissible limits proposed by National Research Council (NRC) for animal feedstuff requirements.
https://cjes.guilan.ac.ir/article_3200_ac5b43e052b7e0410e0da821a3457e98.pdf
2018-12-01
307
317
10.22124/cjes.2018.3200
Fishmeal
Kilka
Heavy metal
Amino acid composition
Caspian Sea
S
Janbakhsh
1
Department of Fisheries Science, Science and Research Branch, Islamic Azad University Tehran, Tehran, Iran
AUTHOR
S.P
Hosseini Shekarabi
2
Department of Fisheries Science, Science and Research Branch, Islamic Azad University Tehran, Tehran, Iran
AUTHOR
M
Shamsaie Mergan
3
Department of Fisheries Science, Science and Research Branch, Islamic Azad University Tehran, Tehran, Iran
AUTHOR
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ORIGINAL_ARTICLE
The effect of grazing and anthropogenic disturbances on floristic and physiognomic characteristics in oriental beech communities, Masal Forest, Iran
This study aimed to investigate floristic and physiognomic characteristics of all plant species in relation to grazing and anthropogenic disturbances. So that, 100 ha beech communities were studied including 50 ha as protected and 50 ha as unprotected area of oriental beech communities in Masal forest, Guilan Province, Iran. The results indicated that the number of all species were higher in the protected area. The main family of the protected area was the Rosaceae, while in the unprotected area the Asteracea had the highest frequency. To identify and classify forest types in both areas, we used the proportion of each tree species larger than 7.5 cm in diameter to determine species dominance according to the classification method of Gorji Bahri. The applied tree classification method indicated that there were three main types and two secondary types in the protected area, whereas six main types were identified in the unprotected area. Physiognomic studies indicated that trees from both areas were in the same height classes, whereas, the total canopy cover percentage was higher in the protected area. Height classes and canopy cover percentage of deciduous broadleaf in shrub layer, were significantly higher in unprotected area than in protected one. In the latter area, the coverpercentage of herbaceous species was different. So that, forbs species had the highest coverpercentage. According to these results, destructive factors have altered the main composition in these communities. So that, avoid of livestock grazing and local people in these areas or livestock exclusion can be recommended as a management.
https://cjes.guilan.ac.ir/article_3201_acb2b095e50b934e71bedcf72379ecd8.pdf
2018-12-01
319
332
10.22124/cjes.2018.3201
Composition
Destructive Factor
Forest Types
Hyrcanian Forest
Plant Physiognomy
S.S
Ebrahimi
1
Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Guilan, Iran
AUTHOR
H
Pourbabaei
2
Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Guilan, Iran
AUTHOR
D
Pothier
3
Centre d’étude de la forêt (CEF), and Département des sciences du bois et de la forêt, Pavillon Abitibi-Price, 2405 rue de la Terrasse, Université Laval, Québec, QC G1V 0A6, Canada
AUTHOR
Adel, MN, Pourbabaei, H, Omidi, A & Pothier, D 2012, Long-term effect of fire on herbaceous species diversity in oriental beech (Fagus orientalis Lipsky) forests in northern Iran. Forestry Studies in China, 14: 260-267.
1
Adel, MN, Pourbabaei, H, Omidi, A & Dey, DC 2013, Forest structure and woody plant species composition after a wildfire in beech forests in the north of Iran. Journal of Forestry Research, 24: 255-262.
2
Aghakhani, MH, Borj, AN & Tavakoli, H 2010, The effects of grazing intensity on vegetation and soil in Sisab rangelands, Bojnord, Iran. Iranian Journal of Range and Desert Research, 17: 243-255.
3
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4
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5
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6
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28
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42
ORIGINAL_ARTICLE
Effects of wind velocity and soil characteristics on dust storm generation in Hawr-al-Azim Wetland, Southwest Iran
Nowadays, dust storms are an important environmental problem in Iran (especially in Khuzestan Province). The Hawr-al-Azim Wetland is a source for generation of dust storms. One-third area of this wetland is located in Iran. In this study, dust discharge is calculated using wind velocity, mean soil grain size (D50) and soil dry density. Soil characteristics were determined by data collected from 16 boreholes drilled in this wetland. Distributions of D50 and soil dry density in the wetland were determined using ordinary kriging method. Then critical wind speed was calculated in different regions of the wetland. The wetland soil is composed of medium and coarse silty soil. The dust mass discharge has reduced from 2003. The maximum monthly dust discharge mass occurs in June and July (along with a mean monthly wind velocity of 4.42 m s-1 and 4.27 m s-1, respectively). Because of the little amount of clay particles and the high wind velocity, increased soil moisture content cannot help in neither raise inthe critical shear velocity nor decreased dust mass discharge. Also, the produced dust is transported towards Northwest Iran because the dominant direction of wind is 270° to 300° relative to the north.
https://cjes.guilan.ac.ir/article_3202_9f248b837bb5b2b373927a642dddbdc7.pdf
2018-12-01
333
347
10.22124/cjes.2018.3202
Critical shear velocity
Dust mass discharge
Soil moisture content
Hawr-al-Azim Wetland
Wind erosion
A
Adib
1
Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
AUTHOR
M
Oulapour
2
Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
AUTHOR
A
Chatroze
3
Department of Civil Engineering, Faculty of Engineering, Shahid Chamran University of Ahvaz, Ahvaz, Iran
AUTHOR
Alfaro, SC, Rajot, JL & Nickling, W 2004, Estimation of PM20 emissions by wind erosion: main sources of uncertainties. Geomorphology, 59: 63-74.
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Beegum, SN, Gherboudj, I, Chaouch, N, Temimi, M & Ghedira, H 2018,Simulation and analysis of synoptic scale dust storms over the Arabian Peninsula. Atmospheric Research, 199: 62-81.
4
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5
Cao, H, Liu, J, Wang, G, Yang, G & Luo, L 2015, Identification of sand and dust storm source areas in Iran. Journal of Arid Land, 7: 567-578.
6
Fan, Q, Shen, C, Wang, Xli, Y, Huang, W, Liang, G, Wang, S & Huang, Z 2013, Impact of a dust storm on characteristics of particle matter (PM) in Guangzhou, China. Asia-Pacific Journal of Atmospheric Sciences, 49: 121-131.
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UNEP 2001, The Mesopotamian Marshlands: Demise of an Ecosystem. Early Warning and Assessment. Technical Report, United Nations Environment Programme, UNEP/DEWA/TR.01-3.
24
Wang, R, Liu, B, Li, H, Zou, X, Wang, J, Liu, W, Cheng, H, Kang, L & Zhang, C 2017, Variation of strong dust storm events in Northern China during 1978–2007. Atmospheric Reearch 183: 166-172.
25
Yue, H, He, C, Zhao, Y, Ma, Q & Zhang, Q 2017, The brightness temperature adjusted dust index: An improved approach to detect dust storms using MODIS imagery. International Journal of Applied Earth Observation and Geoinformation, 57: 166-176.
26
ORIGINAL_ARTICLE
Forecasting the catch of kilka species (Clupeonella spp.) using Time Series SARIMA models in the Southern Caspian Sea
Fisheries management receives assistance by prediction of events to evaluate fluctuating values for a target species to formulate proper policies and actions particularly for threatened and endangered species. This study aimed to predict 7 years Catch Per Unit Effort (CPUE) of kilka fishes as at-risk population in southern regions of the Caspian Sea. The former catch data from the Fisheries Organization of Iran (IFO) archives (1997 to 2014) were analyzed using ARIMA and SARIMA models. The data were divided into four parts (quarters) addressing one-fourth of a year to represent time and expressed as “Q”. According to periodic changes of ACF and PACF indices, seasonal ARIMA (SARIMA) models were used. The appropriate SARIMA models were examined using BIC, RMSE, R2, MSE and Ljung-Box indices. SARIMA (0, 1, 1) × (0, 1, 1) 4 process was the selected final model which met the criterion of model parsimony according to BIC of 31.91, RMSE of 7195193 , MAE of 4372178 , R2 of 0.82 and Ljung-Box index < 0.05. Based on selected SARIMA model, the forecasts indicated that if the fishing fleet and efforts remain at the present level, the performance of kilka fishing will likely have gentle rise by 2021.
https://cjes.guilan.ac.ir/article_3203_823e2d9f728752cd4e61d737e869a384.pdf
2018-12-01
349
358
10.22124/cjes.2018.3203
SARIMA model
Kilka
Time series forecasting
Fishing effort
South Caspian Sea
K
Amiri
1
Department of Biology, Faculty of Science, University of Guilan, Rasht, Iran
AUTHOR
N
Shabanipour
2
Department of Marine Sciences, The Caspian Sea Basin Research Centre, University of Guilan, Rasht, Iran
AUTHOR
S
Eagderi
3
Department of Fisheries, Faculty of Natural Resources, University of Tehran, Karaj, Iran
AUTHOR
Amiri, K, Shabanipour, N & Eagderi S 2017, Using kriging and co-kriging to predict distributional areas of Kilka species (Clupeonella spp.) in the southern Caspian Sea. International Journal of Aquatic Biology, 5: 108-113.
1
Bako, HY, Rusiman, MS, Kane, IL, Matias & Peralta, HM 2013, Predictive modeling of pelagic fish catch in Malaysia using seasonal ARIMA models. Agriculture, Forestry and Fisheries, 2: 136-140.
2
Czerwinski, IA, Gutierrez Estrada, JC & Hernando Casal, JA 2007, Short-term forecasting of halibut CPUE: Linear and non-linear univariate approaches. Fisheries Research, 86: 120–128.
3
Dickey, DA & Fuller, WA 1979, Distributions of the estimators for autoregressive Time series with a unit root. Journal of the American Statistical Association, 74: 427-431.
4
Fadhilah, Y & Ibrahim, LK 2012, Modeling monthly rainfall time series using ETS state space and sARIMA models. International Journal of Current Research, 4: 195-200.
5
Fazli, H, Zhang, CI, Hay, DE, Lee, CW, Janbaz, AA & Borani MS 2007, Population ecological parameters and biomass of anchovy kilka (Clupeonella engrauliformis) in the Caspian Sea. Fisheries Science, 73: 285-294.
6
Georgakarakos, S, Koutsoubos, D & Valavanis, V 2006, Time series analysis and forecasting techniques applied on loliginid and ommastrephid landings in Greek waters. Fisheries Research, 78: 55-71.
7
Ivanov, PI 2000, Biological resources of the Caspian Sea. KaspNIRKH, Astrakhan, 130 P.
8
Karimzadeh, G, Gabrielian, B & Fazli, H 2010, Population dynamics and biological characteristics of kilka species (Pisces: Clupeidae) in the south eastern coast of the Caspian Sea. Iranian Journal of Fisheries Sciences, 9: 422-433.
9
Karpinsky, MG 2002,Ecology of the Benthos of the Middle and Southern part of the Caspian. VNIRO, Moscow.283 P.
10
Kim, JY, Jeong, HC, Kim, H & Kang, S 2015, forecasting the monthly abundance of anchovies in the South Sea of Korea using a univariate approach. Fisheries Research, 161: 293–302.
11
Lazaro, M & Lazaro Jere, WW 2013, The status of the commercial chambo (Oreochromis Species) fishery in Malawi: A time series approach. International Journal of Science and Technology, 3: 322-327.
12
Prista, N, Diawara, N, José Costa, M & Jones, C 2011, Use of SARIMA models to assess data-poor fisheries: a case study with a sciaenid fishery off Portugal. Fishery Bulletined, 109: 170–185.
13
Stergiou, KI & Christou, ED 1996, Modeling and forecasting annual fisheries catches: comparison of regression, univariate and multivariate time series methods. Fisheries Research, 25: 105-I 38.
14
Strukova, E, Guchgeldiyev, O, Evans, A, Katunin, D, Khodorevskaya, R, Kim, Y, Akhundov, M, Mammadli, T, Shahivar, R & Muradov, O 2015, Exploitation of the Caspian Sea bioresources (with focus on economics of bioresources utilization). The Handbook of Environmental Chemistry, pp. 1-44.
15
ORIGINAL_ARTICLE
Purification and characterization of lysozyme in Persian sturgeon, Acipenser persicus (Borodin, 1897) from the Southwest Caspian Sea
Lysozyme (N-acetylmuramide glyconohydrolase, (EC 3.2.1.17)) is a unique enzyme which cleaves the β-1,4 linkages of N-acetylmuramic and N-acetylglucosamine of the peptidoglycan, which leads to the lysis of the bacterial cell wall. Lysozyme, as a self-defense enzyme, is produced in many organs of vertebrates. The present study describes purification and characterization of lysozyme from Acipenser persicus (Borodin, 1897). After the extraction process, ion exchange chromatography was utilized to purify the enzyme. The SDS-PAGE analysis confirmed that the molecular weight was about 14 kDa. Moreover, some of the biochemical properties such as optimum temperature, pH and the effect of metal ions on the activity of purified enzyme were investigated. Based on the results the optimum activity and pH were obtained at 50 °C and 6.5 respectively. The purified lysozyme was active in the presence of different salts including NaCl (0–0.125 M), KCl (0.075–0.125 M), MgCl2, and CaCl2 (0.005 M). Kinetic parameters were also calculated.
https://cjes.guilan.ac.ir/article_3204_cdac32655b60954473148be596847f8e.pdf
2018-12-01
359
367
10.22124/cjes.2018.3204
Lysozyme
Acipenser persicus
Ion exchange chromatography
Metal ions
Optimum temperature
Catalytic efficiency
R
Badan-Ara Marzdashti
1
Department of Biology, Faculty of Science, University of Guilan, Rasht, Iran
AUTHOR
M.R
Aghamaali
2
Department of Biology, Faculty of Science, University of Guilan, Rasht, Iran
AUTHOR
A
Varasteh
3
Department of Biology, Faculty of Science, University of Guilan, Rasht, Iran
AUTHOR
M.R
Nowruzfashkhami
4
Genetic and Biotechnology Department, International Sturgeon Research Institute, Rasht, Iran
AUTHOR
F
Sabkara
5
Department of Chemistry, Faculty of Science, Islamic Azad University of Guilan, Rasht, Iran
AUTHOR
Datta, S 2005, Purification of lysozyme from shell liquor of eastern oysters (Crassostrea virginica) and its use in antimicrobial films to preserve smoked fish.
1
Fletcher, TC & White, A 1976, The lysozyme of the plaice Pleuronectes platessa L. Comparative Biochemistry and Physiology Part B: Comparative Biochemistry, 55: 207-210.
2
Fujimoto, S, Toshimori-Tsuda, I, Kishimoto, K, Yamano, Y & Morishima, I 2001, Protein purification, cDNA cloning and gene expression of lysozyme from eri-silkworm, Samia cynthia ricini. Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology, 128, 709-718.
3
Grinde, B, Jollès, J & Jollès, P 1988, Purification and characterization of two lysozymes from rainbow trout (Salmo gairdneri). The FEBS Journal, 173, 269-273.
4
Hikima, S, Hikima, JI, Rojtinnakorn, J, Hirono, I & Aoki, T 2003, Characterization and function of kuruma shrimp lysozyme possessing lytic activity against Vibrio species. Gene, 316: 187-195.
5
Kim, M, Park, M & Jeong, Y 2012, Purification and characterization of lysozyme from filipino venus, Ruditapes philippinarum. Food Science and Biotechnology, 21: 1463-1468.
6
Laemmli, UK 1970, Cleavage of structural proteins during the assembly of the head of bacteriophage T4. Nature, 227: 680-685.
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Lee, J & Kim, S 2008, Biochemical and antibacterial properties of lysozyme purified from the viscera of scallops (Patinopecten yessoensis). Journal of Food Biochemistry, 32: 474-489.
8
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9
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10
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11
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12
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14
Salehi, M, Aghamaali, MR, Sajedi, RH, Asghari, SM & Jorjani, E 2017, Purification and characterization of a milk-clotting aspartic protease from Withania coagulans fruit. International Journal of Biological Macromolecules, 98: 847-854.
15
Salton, M 1957, The properties of lysozyme and its action on microorganisms. Bacteriological Reviews, 21: 82.
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Sankaran, K & Gurnani, S 1972, On the variation in the catalytic activity of lysozyme in fishes. Indian Journal of Biochemistry & Biophysics, 9: 162-165.
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Schoentgen, F., Jollés, J. & Jollés, P 1982, Complete amino acid sequence of ostrich (Struthio camelus) egg‐white lysozyme, a goose‐type lysozyme. The FEBS Journal, 123: 489-497.
18
Shugar, D 1952, The measurement of lysozyme activity and the ultra-violet inactivation of lysozyme. Biochimica et Biophysica Acta, 8: 302-309.
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Thammasirirak, S, Ponkham, P, Preecharram, S, Khanchanuan, R, Phonyothee, P, Daduang, S, Srisomsap, C, Araki, T & Svasti, J 2006, Purification, characterization and comparison of reptile lysozymes. Comparative Biochemistry and Physiology Part C: Toxicology & Pharmacology, 143: 209-217.
20
Wang, S, Ng, TB, Chen, T, Lin, D, Wu, J, Rao, P & Ye, X 2005, First report of a novel plant lysozyme with both antifungal and antibacterial activities. Biochemical and Biophysical Research Communications, 327: 820-827.
21
Wang, S, Ye, X & Rao, P 2012, Isolation of a novel leguminous lysozyme and study on the antifungal activity. Food Research International, 47: 341-347.
22
Xue, QG, Schey, KL, Volety, AK, Chu, FLE & LA Peyre, JF, 2004, Purification and characterization of lysozyme from plasma of the eastern oyster (Crassostrea virginica). Comparative Biochemistry and Physiology Part B: Biochemistry and Molecular Biology, 139: 11-25.
23
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24
ORIGINAL_ARTICLE
Forest fire vulnerability map using remote sensing data, GIS and AHP analysis (Case study: Zarivar Lake surrounding area)
Fire has an important role in destruction and negative side effects on forest ecosystem. The main aim of this study was to determine the main factors influencing the fire on set in Zarivar Lake forest area using remote sensing data, Geographic Information System (GIS) and Analytical Hierarchy Process (AHP) analysis. Vegetation density map derived from SPOT-HRG image data with 71.38% accuracy and 0.695 Kappa coefficients. The results of AHP analysis on destructive fire factors indicated that temperature and human-made factors had maximum influence on fire occurrence in the study area. Based on AHP analysis, final vulnerability map of study area was produced in Arc Map environment with 5 vulnerability areas. The results indicated that 78.03% of burned areas in 2009 and 2010 occurred in very high, high and moderate vulnerability area of final fire vulnerability map. So, this map can be used in forest management of Zarivar Lake area in dry season.
https://cjes.guilan.ac.ir/article_3205_4b664d0f1260295a1de518981b9cf735.pdf
2018-12-01
369
377
10.22124/cjes.2018.3205
AHP
Forest fire
GIS
Vulnerability map
Zarivar Lake
S.B
Rasooli
1
Department of Geography, College of Education, University of Garmian, Kalar, Kurdistan Region, Iraq
AUTHOR
A.E
Bonyad
2
Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran
AUTHOR
M
Pir Bavaghar
3
Department of Forestry, Faculty of Natural Resources, University of Kurdistan, Sanandaj, Iran
AUTHOR
Adab, H, Nokhandan, M, MirzaBayati, R & Adabi Firoozjani, A 2008, Mapping fire risk in forests of Mazandaran Province using Molgan Precautionary Index and GIS. Abstracts of 1st International Conference on Climate Change and Botany in Caspian Ecosystem, Iran: 178-189.
1
Almedia, R 1994, Forest fire risk areas and definition of the prevention priority planning actions using GIS. Proceedings of the fifth European conference and exhibition on geographic information system. EGIS 94. Utrecht: EGIS Foundation, 2: 1700-1706.
2
Amalina, P, Prasetyo, LB, Rushayati, SB 2016, Forest fire vulnerability mapping in Way Kambas National Park. Journal of Procedia Environmental Science. 33: 239- 252
3
Banjshafiei, A, Akbarinia, M, Jalali, GH, Azizi, P & Hosseini, M 2008, The effects of fire on forest structure. Case study: Chelir, Kheyroudkenar, (Watershed number 45 Golband, Nowshahr). Journal of Pajouhesh & Sazandegi, 76: 105-112.
4
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5
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6
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7
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8
Dong, X, Li-min, D, Guo-fan, S, Lei, T & Hui, W 2005, Forest fire risk zone mapping from satellite images and GIS for Baihe Forestry Bureau, Jilir, China. Journal of Forestry Research, 16: 169-174.
9
Erten, E, Kurgun, V, & Musaoglu, N 2004, Forest fire risk zone mapping from satellite imagery and GIS: A case study. Abstracts of 20th Congress of the International Society for Photogrammetry and Remote Sensing, Istanbul, Turkey: 222-230.
10
FAO 2001, Global forest fire assessment, 1990-2000, Forest Resources Assessment, Rome, Italy, p: 565
11
Giglio, L, Wer, GR, Randerson, JT, Collatz, GJ & Kasibhatla, P 2006, Global estimation of burned area using MODIS active fire observation. Journal of Atmospheric Chemistry and Physics, 6: 957-974.
12
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13
Hosainali, F & Rajabi, M 2005, Forest fire simulation using Geographic Information Systems. Geomatics 84, National Cartographic Center, Tehran, Iran. https://www.civilica.com/Paper-GEO84-GEO84_25.html
14
Jaiswal, RK, Mukherjee, S, Raju, KD & Saxena, R 2002, Forest fire risk zone mapping from satellite imagery and GIS. International Journal of Applied Earth Observation and Geoinformation, 4: 1-10.
15
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16
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17
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18
Mahdavi, A, Fallahshamsi, SR & Nazari, R 2012, Forests and rangeland wildfire risk zoning using GIS and AHP techniques. Caspian Journal of Environmental Sciences, 10: 43-52.
19
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20
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21
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22
Rahimi, A & Esmaeeli, A 2010, Study on potential of forest fires and grassland using MODIS satellite imagery and remote sensing techniques, Case study: the forest of Marivan. Geomatic Conference. National Cartographic Center, Tehran, Iran. https://www.civ- ilica.com/Paper-GEO89-GEO89_109.html
23
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24
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25
ORIGINAL_ARTICLE
How much is the use values of forest ecosystem services? Case study: north forests of Iran
Forests play a significant role for human’s well-being. Economists’ attention is mostly drawn on the market value of forest products. The trend, however, is changing as non-market values of forests are increasingly appreciated and measured. Recently, the ecosystem value of forest has been studied by natural resource economists and its role on human welfare is ensured. This paper indicates that the annual use value of the ecosystem services such as water conservation, soil protection, carbon fixation, nutrient cycling, water purification, air pollution absorption and recreation provided by forests is not only worth millions of dollars, but also in per hectare terms much more than hitherto known. This value for the Mazandaran forest reserve (MFR) ranged US$ 14.2–14.8 million or about US$ 6676.9–6785.6 per ha. If these are accounted for, then governments and societies faced with the development versus conservation dilemma can create more understanding decisions and policies that will assist conserve forests and the ecosystem services they provide, and thereby promulgate human well-being and sustainable development. Realization about these significant intangible benefits will assist in more informed decisions and policies that will help conserve forest ecosystems and the services they provide as well as promote human well-being and sustainable development.
https://cjes.guilan.ac.ir/article_3206_a9350156f259fd9d6145d51ef93b4b1b.pdf
2018-12-01
379
394
10.22124/cjes.2018.3206
Economic valuation
Forest ecosystem services
Sustainable development
Mazandaran forest reserve
K
Jahanifar
1
Department of Environmental Management, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
AUTHOR
H
Amirnejad
2
Department of Agricultural Economics, Faculty of Agricultural Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, Iran
AUTHOR
Z
Abedi
3
Department of Environmental Economics, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran
AUTHOR
A
Vafaeinejad
4
Faculty of Civil, Water and Environmental Engineering, Shahid Beheshti University, Tehran, Iran
AUTHOR
Abbasi, A & Mohammadzadeh, S 2001, Investigation of world experiences for local participation on forest resources management and utilization of successful experiences in Iran. North Forests Management and Sustainable Development, Vol. 2, Rangelands and Forests Organization, 774 p.
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Agheli, KL 2003, Green GNP calculation and sustainable degree of national income in Iran. PhD Dissertation in economical sciences. Humanities Faculty, Tarbiat Modarres University, Tehran, Iran, 260 p.
2
Amirnejad, H, Khalilian, S, Assareh, MH & Ahmadian, M 2006, Estimating the existence value of north forests of Iran by using a contingent valuation method. Ecological Economics, 58: 665–675.
3
Beukering, PJH, Cesar, HSJ & Janssen, MA 2003, Economic valuation of the Leuser national park on Sumatra, Indonesia. Ecological Economics, 44: 43–62.
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Costanza, R, d’Arge, R, de Groot, R, Farber, S, Grasso, M, Hanna, B, Limburg, K, Naeem, S, O’Neill, RV, Paruelo, J, Raskin, RG, Sutton, P & Van den Belt, M 1997, The value of the world’s ecosystems services and natural capital. Nature, 387: 253–260.
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13
Ide, J, Kume, T, Watiyama, Y, Higashi, N, Chiwa, M & Otsuki, K 2009, Estimation of annual suspended sediment yield from a Japanese cypress plantation considering antecedent rainfalls. Forest Ecology and Management, 257: 1955–1965.
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ORIGINAL_ARTICLE
Age determination and growth rate of Capoeta trutta in Azad Dam Lake, Kurdistan Province, Iran
A total of 148 specimens of Capoeta trutta caught from Azad Dam Lake, Kurdistan Province, northwest of Iran were examined during 2015-2016 for assessing growth parameters. The total length (TL) and weight (W) of C. trutta ranged from 4.0 to 29.0 cm and 0.9 to 274.0 g, average (± SD) = 19.3 (± 4.0) cm and 80.3 (± 44.7) g, respectively. The length-weight regression was W = 0.0121 × TL2.9317 indicating isometric growth. The sex ratio (M:F) was 1:0.33, differed significantly from the expected 1:1 (P < 0.001). The von Bertalanffy growth parameters were estimated as L∞ = 29.6 mm, K = 0.33 yr-1, t0 = -0.57 yr. The instantaneous coefficient of natural mortality was estimated as 0.58 yr-1. The averaged condition factor (KF) was 1.00 ± 0.11, by significantly differences among seasons (P < 0.001). In the present study, the relative condition factor (Kn) of C. trutta were close to 1 suggesting the well-being condition of the fish in Azad Dam region.
https://cjes.guilan.ac.ir/article_3207_54f56a073ca49a36ec082d8fa81b14f0.pdf
2018-12-01
395
404
10.22124/cjes.2018.3207
Growth parameters
Condition factor
Capoeta trutta
Azad Dam
Iran
H
Fazli
1
Caspian Sea Ecology Research Center (CSERC), Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
AUTHOR
G
Daryanabard
2
Caspian Sea Ecology Research Center (CSERC), Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
AUTHOR
M
Naderi Jelodar
3
Caspian Sea Ecology Research Center (CSERC), Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
AUTHOR
R
Mirzaei
4
Department of Fisheries, Jihad-Agriculture of Kurdistan Organization, Sanadaj, Iran
AUTHOR
H
Hosseinpour
5
Department of Fisheries, Jihad-Agriculture of Kurdistan Organization, Sanadaj, Iran
AUTHOR
H.
Taleshian
6
Caspian Sea Ecology Research Center (CSERC), Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
AUTHOR
F
Bagherzadeh
7
Caspian Sea Ecology Research Center (CSERC), Iranian Fisheries Science Research Institute (IFSRI), Agricultural Research, Education and Extension Organization (AREEO), Sari, Iran
AUTHOR
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