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Wednesday 22 March 2017

How Much Meteorological Information Is Necessary to Achieve Reliable Accuracy for Rainfall Estimations?

Author
Mohammad Valipour (vali-pour@hotmail.com)
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Agriculture, 2016, vol. 6, issue 4, pages 53

Abstract: This paper reports the study of the effect of the length of the recorded data used for monthly rainfall forecasting. Monthly rainfall data for three periods of 5, 10, and 49 years were collected from Kermanshah, Mashhad, Ahvaz, and Babolsar stations and used for calibration time series models. Then, the accuracy of the forecasting models was investigated by the following year’s data. The following was concluded: In temperate and semi-arid climates, 60 observation data is sufficient for the following year’s rainfall forecasting. The accuracy of the time series models increased with increasing amounts of observation data of arid and humid climates. Time series models are appropriate tools for forecasting monthly rainfall forecasting in semi-arid climates. Determining the most critical rainfall month in each climate condition for agriculture schedules is a recommended aim for future studies.
Keywords: Iranweather dataprecipitation (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2016
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Mechanism to Sell Timber

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Keywords: timbertrade (search for similar items in EconPapers)
Date: 1993
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More papers in UWO Department of Economics Working Papers from  University of Western Ontario, Department of Economics Department of Economics, Reference Centre, Social Science Centre, University of Western Ontario, London, Ontario, Canada N6A 5C2.
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Combining Multifunctionality and Ecosystem Services into a Win-Win Solution. The Case Study of the Serchio River Basin (Tuscany—Italy)

Author
Massimo Rovai (massimo.rovai@unipi.it) and Maria Andreoli (maria.andreoli@unipi.it)
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Agriculture, 2016, vol. 6, issue 4, pages 49

Abstract: Post-war development—characterized by intensive processes of urbanization, concentration of agriculture on the most fertile lands, and abandonment of mountainous and marginal areas—brought about negative environmental and socio-economic consequences. They have been particularly severe in terms of increase of hydrogeological risk, which is high in most Italian regions. Over time, there has been an increasing awareness of the multiple functions played by agriculture in terms of provision of Ecosystem Services (ES), which contribute fundamentally to human well-being. In particular, some ES provided by farmers may help to reduce the hydrogeological risk of territories prone to landslides and floods. In this framework, the paper presents as a case study the project “Farmers as Custodians of a Territory.” This project was implemented in the Serchio River basin, Tuscany (Italy), and combines a multifunctional farm strategy of diversification with the provision of Ecosystem Services related to the hydraulic and hydrogeological protection of the river-basin territory. Although this case study should be read within the framework of the theories of agricultural multifunctionality and ES provision, it nevertheless took a very pragmatic and innovative approach, which differentiates it from most of the case studies given in the literature. Results of our analysis show that, by involving farmers as custodians of the territory, it is possible to reach a “win-win” solution characterized, on the one hand, by better services for the community at a lower cost for the Land Reclamation Consortia involved with hydrogeological risk prevention, thus improving the effectiveness and efficiency of ES provision; and on the other hand, by improving the economic situation and survival chances of local farms.
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Gradual Accumulation of Heavy Metals in an Industrial Wheat Crop from Uranium Mine Soil and the Potential Use of the Herbage

Author
Gerhard Gramss (gerhard.gramss@uni-jena.de) and Klaus-Dieter Voigt (voigt@food-jena.de)
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Agriculture, 2016, vol. 6, issue 4, pages 51

Abstract: Testing the quality of heavy-metal (HM) excluder plants from non-remediable metalliferous soils could help to meet the growing demands for food, forage, and industrial crops. Field cultures of the winter wheat cv. JB Asano were therefore established on re-cultivated uranium mine soil (A) and the adjacent non-contaminated soil (C). Twenty elements were determined by Inductively Coupled Plasma Mass Spectrometry (ICP-MS) from soils and plant sections of post-winter seedlings, anthesis-state, and mature plants to record within-plant levels of essential and toxic minerals during ripening and to estimate the (re)use of the soil-A herbage in husbandry and in HM-sensitive fermentations. Non-permissible HM loads (mg∙kg −1 ∙DW) of soil A in Cd, Cu, and Zn of 40.4, 261, and 2890, respectively, initiated the corresponding phytotoxic concentrations in roots and of Zn in shoots from the seedling state to maturity as well as of Cd in the foliage of seedlings. At anthesis, shoot concentrations in Ca, Cd, Fe, Mg, Mn, and Zn and in As, Cr, Pb, and U had fallen to a mean of 20% to increase to 46% during maturation. The respective shoot concentrations in C-grown plants diminished from anthesis (50%) to maturity (27%). They were drastically up/down-regulated at the rachis-grain interface to compose the genetically determined metallome of the grain during mineral relocations from adjacent sink tissues. Soil A caused yield losses of straw and grain down to 47.7% and 39.5%, respectively. Nevertheless, pronounced HM excluder properties made Cd concentrations of 1.6–3.08 in straw and 1.2 in grains the only factors that violated hygiene guidelines of forage (1). It is estimated that grains and the less-contaminated green herbage from soil A may serve as forage supplement. Applying soil A grains up to 3 and 12 in Cd and Cu, respectively, and the mature straw as bioenergy feedstock could impair the efficacy of ethanol fermentation by Saccharomyces cerevisiae .
Keywords: wheat cropyield lossCd/Cu/Pb/Zn toxicitygrain fill regulationforage supplementbiocharbiofuel fermentationphytoextraction (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2016
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DEVELOPMENT OF LOCAL ALLOMETRIC EQUATION TO ESTIMATE TOTAL ABOVEGROUND BIOMASS IN PAPUA TROPICAL FOREST

Author
Sandhi I. Maulana, Yohannes Wibisono, Singgih Utomo

Abstract


Recently, pantropical allometric equations have been commonly used across the globe to estimate the aboveground biomass of the forests, including in Indonesia. However, in relation to regional differences in diameter, height and wood density, the lack of data measured, particularly from eastern part of Indonesia, may raise the question on accuracy of pantropical allometric in such area. Hence, this paper examines the differences of local allometric equations of Papua Island with equations developed by Chave and his research groups. Measurements of biomass in this study were conducted directly based on weighing and destructive samplings. Results show that the most appropriate local equation to estimate total aboveground biomass in Papua tropical forest is Log(TAGB) = -0.267 + 2.23 Log(DBH) +0.649 Log(WD) (CF=1.013; VIF=1.6; R2= 95%; R2-adj= 95.1%; RMSE= 0.149; P<0.001). This equation is also a better option in comparison to those of previously published pantropical equations with only 6.47% average deviation and 5.37 points of relative bias. This finding implies that the locally developed equation should be a better option to produce more accurate site specific total aboveground biomass estimation.

Keywords


Pantropical; local; allometric; biomass; Papua

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References


Achmad, E., Jaya, I. N. S., Saleh, M. B., & Kuncahyo, B. (2013). Biomass estimation using ALOS PALSAR for identification of lowland forest transition ecosystem in Jambi Province. Jurnal Manajemen Hutan Tropika (Journal of Tropical Forest Management), 19(2), 145–155. http://doi.org/10.7226/jtfm.19.2.145
Alvarez, E., Duque, A., Saldarriaga, J., Cabrera, K., de las Salas, G., del Valle, I., … Rodríguez, L. (2012). Tree above-ground biomass allometries for carbon stocks estimation in the natural forests of Colombia. Forest Ecology and Management, 267, 297–308. http://doi.org/10.1016/j.foreco.2011.12.013
Basuki, T. M., van Laake, P. E., Skidmore, A. K., & Hussin, Y. A. (2009). Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. Forest Ecology and Management, 257(8), 1684–1694. http://doi.org/10.1016/j.foreco.2009.01.027
Chaturvedi, R., & Raghubanshi, A. S. (2015). Allometric models for accurate estimation of aboveground biomass of teak in tropical dry forests of India. Forest Science, 61(09), 938–949.
Chave, J., Andalo, C., Brown, S., Cairns, M. A., Chambers, J. Q., Eamus, D., … Yamakura, T. (2005). Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 145(1), 87-99. http://doi.org/10.1007/s00442-005-0100-x
Chave, J., Réjou-Méchain, M., Búrquez, A., Chidumayo, E., Colgan, M. S., Delitti, W. B. C., … Vieilledent, G. (2014). Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology, 20(10), 3177–3190. http://doi.org/10.1111/gcb.12629
Clark, D. B., & Kellner, J. R. (2012). Tropical forest biomass estimation and the fallacy of misplaced concreteness. Journal of Vegetation Science, 23(6), 1191–1196. http://doi.org/10.1111/j.1654-1103.2012.01471.x
De Gier, A. (2003). A new approach to woody biomass assessment in woodlands and shrublands. In P. Roy (Ed.), Geoinformatics for Tropical Ecosystems (pp. 161–198). Dehradun, India: Bishen Singh Mahendra Pal Singh.
Eggleston, S., Buendia, L., Miwa, K., Ngara, T., & Tanabe, K. (Eds.). (2006). IPCC Guidelines for National Greehouse Gas Inventories, vol. 4: Agriculture, Forestry and Other Land Use. Hayama, Japan: Institute for Global Environmental Strategies (IGES) on behalf of the Intergovernmental Panel on Climate Change (IPCC).
Fahrmeir, L., Kneib, T., Lang, S., & Marx, B. (2013). Regression: models, methods and applications. Berlin, Germany: Springer.
Fayolle, A., Doucet, J.-L., Gillet, J.-F., Bourland, N., & Lejeune, P. (2013). Tree allometry in Central Africa: Testing the validity of pantropical multi-species allometric equations for estimating biomass and carbon stocks. Forest Ecology and Management, 305, 29–37.
FWI. (2004). Papua forestry map. Retrieved September 22, 2016, from http://papuaweb.org/gb/peta/fwi/
Gardner, R.H., & Urban, D.L. (2003). Model validation and testing: past lessons, present concerns, future prospects. In C. D. Ganham, J. J. Cole, & W. K. Lauenroth (Eds.), Models in Ecosystem Science. Princeton, New Jersey: Princeton University Press.
Henry, M., Besnard, A., Asante, W.A., Eshun, J., Adu-Bredu, S., Valentini, R., … Saint-André, L. (2010). Wood density, phytomass variations within and among trees, and allometric equations in a tropical rainforest of Africa. Forest Ecology and Management, 260(8), 1375-1388.
Hunter, J. T. (2015). Changes in allometric attributes and biomass of forests and woodlands across an altitudinal and rainfall gradient: What are the implications of increasing seasonality due to anthropogenic climate change? International Journal of Ecology, 2015.
Jaya, I. N. S., Agustina, T. L., Saleh, M. B., Shimada, M., Kleinn, C., & Fehrmann, L. (2012). Above ground biomass estimation of dry land tropical forest using ALOS PALSAR in Central Kalimantan, Indonesia. In Proceeding of The 3rd DAAD Workshop on: Forest in Climate Change Research and Policy: The Role of the Forest Management and Conservation in Complex International Setting (pp. 1–19). Dubai, UAE: DAAD.
Ketterings, Q.M., Coe, R., Noordwijk, M. Van, Ambagau, Y., & Palm, C. A. (2001). Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests. Forest Ecology and Management, 146, 199–209.
Lewis, S. L., Lopez-Gonzalez, G., Sonké, B., Affum-Baffoe, K., Baker, T. R., Ojo, L. O., … Wöll, H. (2009). Increasing carbon storage in intact African tropical forests. Nature, 457(7332), 1003–1006.
Lewis, S.L., Sonke, B., Sunderland, T., Begne, S. K., Lopez-Gonzalez, G., van der Heijden, G.M.F., … Zemagho, L. (2013). Above-ground biomass and structure of 260 African tropical forests. Philosophical Transactions of the Royal Society B: Biological Sciences, 368(1625), 20120295–20120295. http://doi.org/10.1098/rstb.2012.0295
Lima, A. J. N., Suwa, R., de Mello Ribeiro, G. H. P., Kajimoto, T., dos Santos, J., da Silva, R. P., … Higuchi, N. (2012). Allometric models for estimating above- and below-ground biomass in Amazonian forests at São Gabriel da Cachoeira in the upper Rio Negro, Brazil. Forest Ecology and Management, 277, 163–172. doi:10.1016/j.foreco.2012.04.028
Maulana, S.I. (2014). Allometric equations for estimating aboveground biomass in Papua tropical forests. Indonesian Journal of Forestry Research, 2(1), 77–88.
Nelson, B.W., Mesquita, R., Pereira, J.L.G., De, S.G.A., Teixeira, G., & Bovino, L. (1999). Allometric regressions for improved estimate of secondary forest biomass in the central Amazon. Forest Ecology and Management, 117, 149–167.
Ngomanda, A., Laurier, N., Obiang, E., Lebamba, J., Moundounga, Q., Gomat, H., … Picard, N. (2014). Forest Ecology and Management Site-specific versus pantropical allometric equations : Which option to estimate the biomass of a moist central African forest ? Forest Ecology and Management, 312, 1–9.
Nogueira, E. M., Fearnside, P. M., Nelson, B. W., & França, M. B. (2007). Wood density in forests of Brazil’s “arc of deforestation”: Implications for biomass and flux of carbon from land-use change in Amazonia. Forest Ecology and Management, 248(3), 119–135. http://doi.org/10.1016/j.foreco.2007.04.047
Sprugel, D.G. (1983). Correcting for bias in log-transformed allometric equations. Ecology. http://doi.org/10.2307/1937343
Stewart, J. L., Dunsdon, A. J., Hellin, J. J., & Hughes, C.E. (1992). Wood biomass estimation of Central American dry zone species. Oxford, England. Retrieved from http://www.bodley.ox.ac.uk/users/millsr/isbes/ODLF/TFP26.pdf
Tedeschi, L.O. (2006). Assessment of the adequacy of mathematical models. Agricultural Systems, 89(2-3), 225–247. http://doi.org/10.1016/j.agsy.2005.11.004


DOI: http://dx.doi.org/10.20886/ijfr.2016.3.2.107-118

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IRRADIATION ON SEED GERMINATION, STORAGE, AND SEEDLING GROWTH OF Magnolia champaca L.

Author
Muhammad Zanzibar, Dede J. Sudrajat

Abstract


Gamma irradiation of seeds is known as an important factor in stimulating biochemical and physiological processes. This paper investigates the effect of seed irradiation on the seed germination, storability, and seedling growth traits of Magnolia champaca. Seeds were irradiated with 0, 5, 10, 15, 20, 40, 60, 80 and 100 Gy by Cobalt-60. The treated seeds were grouped into three lots, namely germination test, storage test and seedling growth characteristics. Observations were made for seed germination percentage, germination index, mean germination time, germination value and growth traits such as height, collar diameter, number of leaves, root length, and dry weight. Results showed that irradiation at a dose of 30 Gy was close to LD50, and irradiation at doses of 80 Gy and higher caused lethal effect. The maximum increase of germination parameters on irradiated seed was recorded at a dose of 10 Gy, and then it decreased. Growth rate in terms of seedling height, collar diameter, number of leaves, and dry weight have also increased in gamma irradiation doses up to 80 Gy, but the dose of 10 Gy resulted in survival and growth that was more stable and gave the highest values for most of the parameters. Hence, lower dose (10 Gy) of irradiation treatment can be used to increase seed germination, storability and seedling growth of M. champaca.

Keywords


Magnolia champaca; gamma irradiation; germination; growth

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References


Akinci, I. E., & Akinci, S. (2010). Effect of chromium toxicity on germination and early seedling growth in melon (Cucumis melo L.). African Journal of Biotechnology, 9(29), 4589–4594. Retrieved from ://000280349100012
Akshatha, & Chandrashekar, K. R. (2013). Effect of gamma irradiation on germination growth and biochemical parameters of Pterocarpus santalinus, an endangered species of Eastern Ghats. Europe Journal of Experimental Biology, 3, 266–270.
Akshatha, Chandrashekar, K. R., Somashekarappa, H. M., & Souframanien, J. (2013). Effect of gamma irradiation on germination, growth, and biochemical parameters of Terminalia arjuna Roxb. Radiation Protection and Environment, 36(1), 38–44.
Ashraf, M. (2009). Biotechnological approach of improving plant salt tolerance using antioxidants as markers. Biotechnology Advances, 27(1), 84–93.
Aynehband, A., & Afsharinafar, K. (2012). Effect of gamma irradiation on germination characters of amaranth seeds. Europe Journal of Experimental Biology, 2(4), 995–999.
Bahuguna, V. K., Rawat, M. M. S., & Naithani, K. C. (1987). Investigation on the seed of Michelia champaca Linn. for perfection of optimum conditions of storage. Indian Forester, 113(4), 243–248.
Bhargava, Y. R., & Khalatkar, A. S. (1987). Improved performance of Tectona grandis seeds with gamma irradiation. Acta Horticulture, 215, 51–53.
Bisht, N. S., & Ahlawat, S. P. (1999). Seed technology. SFRI Information Bulletin No 7. Itanagar: State Forest Research Institute India.
Bodele, S. K. (2013). Effect of gamma radiation on morphological and growth parameters of Andrographis paniculata (Burm.F) Wall. Ex. Nees. Indian Journal of Applied Research, 3(6), 55–57.
Bonner, F. T., Fozzo, J. A., Elam, W. W., & Land, S.B.J.(1994). Tree seed technology training course. Instructors manual. Southern Forest Experiment Station. Louisiana: Southern Forest Experiment Station, US Department Agriculture.
Candiani, G. C., Galetti, M., & Cardoso, V. J. M. (2004). Seed germination and removal of Michelia champaca L (Magnoliaceae) in eucalypt stands: the influence of the aril. Revista Arvore, 28, 327–332. https://doi.org/doi:10.1590/S0100-67622004000300002
Czabator, F. J. (1962). Germination value: an index combining speed and completeness of pine seed germination. Forest Science, 8, 386–396.
Darfour, B., Ocloo, F. C. K., & Wilson, D. D. (2012). Effects of irradiation on the cowpea weevil (Callosobruchus maculates F.) and moisture sorption isotherm of cowpea seed (Vigna unguiculata L. Walp). Arthropods, 1(1), 24–34.
De Micco, V., Arena, C., Pignalosa, D., & Durante, M. (2011). Effects of sparsely and densely ionizing radiation on plants. Radiation and Environmental Biophysics, 50(1), 1–19.
Esnault, M. A., Legue, F., & Chenal, C. (2010). Ionizing radiation: Advances in plant response. Environmental and Experimental Botany, 68(3), 231–237.
Fernando, M. T. R., Jayasuriya, K. M. G. G., Walck, J. L., & Wijetunga, A. S. T. B. (2013). Identifying dormancy class and storage behaviour of champak (Magnolia champaca) seeds, an important tropical timber tree. Journal of the National Science Foundation of Sri Lanka, 41(2), 141–146.
Gruner, M., Horvatic, M., Kujundzic, D., & Magdalenic, C. (1992). Effect of gamma irradiation on the lipid components of soy protein products. Nahrung, 36, 443–450.
Habba, I. E. (1992). Physiological effect of gamma rays on growth and productivity of Hyoscyamus muticus L. and Atropa belladonna L (PhD Thesis). Cairo University.
Hell, K. G., & Silveira, M. (1974). Imbibition and germination of gamma irradiation Phaseolus vulgaris seeds. Field Crop Abstract, 38(6), 300.
Hong, T. D., & Ellis, R. H. (1995). A protocol to determine seed storage behaviour. In J. M. M. Engels & J. Toll (Eds.), IPGRI Technical Bulletin (pp. 1–62). Rome: International Plant Genetic Resources Institute.
Hossain, M. A., Arefin, M. K., Khan, B. M., & Rahman, M. A. (2005). Effects of seed treatments on germination and seesling growth attributes of Horitaki (Terminalia chebula Retz.) in the nursery. Research Journal of Agriculture and Biological Sciences, 1(2), 135–141.
Hossain, M. K., & Nizam, M. Z. U. (2002). Michelia champaca L. In J. A. Vozzo (Ed.), Tropical tree seed manual (pp. 572 – 574). Washington D.C.: United States Department of Agriculture Forest Service.
Iglesias-Andreu, L. G., Octavio-Aguilar, P., & Bello-Bello, J. (2012). Current importance and potential use of low doses of gamma radiation in forest species. In F. Adrovic (Ed.), Gamma radiation (pp. 265–280). Rijeka, Croatia: InTech Europe.
Ikram, N., Dawar, S., Abbas, Z., & Javed, Z. (2010). Effect of (60 cobalt) gamma rays on growth and root rot diseases in mungbean (Vigna radiata l.). Pakistan Journal of Botany, 42(3), 2165–2170.
Khan, M. R., Qureshi, A. S., Hussain, S. A., & Ibrahim, M. (2005). Genetic variability induced by gamma irradiation and its modulation with gibberellic acid in M2 generation of chickpea (Cicer arietinum L.). Pakistan Journal of Botany, 37(2), 285–292.
Khan, S., & Goyal, S. (2009). Improvement of mungbean varieties through induced mutations. African Journal of Plant Science, 3(August), 174–180.
Kimho, J., & Irawan, A. (2011). Studi keragaman jenis cempaka berdasarkan karakteristik morfologi di Sulawesi Utara. In Prosiding Ekspose Hasil-hasil Penelitian BPK Menado (pp. 61–78). Manado: Balai Penelitian Kehutanan Manado.
Kiong, L. P. A., Lai, A. G., Hussein, S., & Harun, A. R. (2008). Physiological Responses of Orthosiphon stamineus Plantles to Gamma Irradiation. America-Eurasian Journal of Sustainable Agriculture, 2(2), 135–149.
Kumar, A., & Mishra, M. N. (2004). Effect of gamma-rays, EMS and NMU on germination, seedling vigour, pollen viability and plant survival in M1and M2 generation of Okra (Abelmoschus esculentus (L.) Moench). Advances in Plant Science, 17(1), 295–297.
Kumar, R. V., Kumar, S., Shashidhara, S., Anitha, S., & Manjula, M. (2011). Antioxidant and antimicrobial activities of various extracts of Michelia champaca Linn flower. World Applied Sciences Journal, 12(4), 413–418.
Kuzin, A. M., Vagabova, M. E., & Revin, A. F. (1976). Molecular mechanisms of the stimulating action of ionizing radiation on seeds. 2. Activation of protein and high molecular RNA synthesis. Radiobiologiya, 16, 259– 261.
Lester, G. E., & Whitaker, B. D. (1996). Gamma-ray-induced changes in hypodermal mesocarp tissue plasma membrane of pre- and post-storage muskmelon. Physiologia Plantarum, 98, 265–270.
Lukman, A. H. (2011). Sebaran, potensi dan penggelolaan Michelia champaca L. In M. Bismark & Murniati (Eds.), Proceeding of Conservation Status and Formulation of Conservation Strategy of Threatened Tree Species (Ulin, Eboni and Michelia). (pp. 36–44). Bogor: Pusat Litbang Konservasi dan Rehabilitasi.
Maamoun, M. K. M., El-Mahrouk, M. E., Dewir, Y. H., & Omran, S. A. (2014). Effect of radiation and chemical mutagens on seeds germination of black cumin (Nigella sativa L). Journal of Agricultural Technology, 10(5), 1183–1199.
Marcu, D., Cristea, V., & Daraban, L. (2013). Dose-dependent effects of gamma radiation on lettuce (Lactuca sativa var. Capitata) seedlings. International Journal of Radiation Biology, 89(3), 219–23.
Moussa, H. R. (2011). Low dose of gamma irradiation enhanced drought tolerance in soybean. Agronomica Hungarica, 59, 1–12.
Nazir, M. B., Mohamad, O., Affida, A. A., & Sakinah, A. (1988). Research highlights on the use of induced mutations for plant improvement in Malaysia. Bangi: Malaysian Institute for Nuclear Technology Research.
Piri, I., Babayan, M., Tavassoli, A., & Javaheri, M. (2011). The use of gamma irradiation in agriculture. African Journal of Microbiology Research, 5(32), 5806–5811.
Ruan, S., Xue, Q., & Tylkowska, K. (2002). The influence of priming on germination of rice (Oryza sativa L.) seeds and seedling emergence and performance in flooded soil. Seed Science and Technology, 30, 61–67.
Sakin, M. A. (2002). The use of induced micro mutation for quantitative characters after EMS and gamma ray treatments in durum wheat breeding. Pakistan Journal of Applied Sciences, 2(12), 1102–1107.
Santosa, E., Pramono, S., Mine, Y., & Sugiyama, N. (2014). Gamma irradiation on growth and development of Amorphophallus muelleri Blume. Jurnal Agronomi Indonesia, 42(2), 118–123.
Selvaraju, P., & Raja, K. (2001). Effect of gamma irradiation of seeds on germination of different tree species. In Proceedings of IUFRO Joint Symposium on Tree Seed Technology, Physiology and Tropical Silviculture (pp. 141–142). Laguna, Philippines: IUFRO and University of Los Banos.
Sherif, F. E., Khattab, S., Ghoname, E., Salem, N., & Radwan, K. (2011). Effect of gamma irradiation on enhancement of some economic traits and molecular changes in Hibiscus sabdariffa L. Life Science Journal, 8, 220–229.
Singh, I. N. K., & Balyan, H. S. (2009). Induced mutations in bread wheat (Triticum aestivum L.) CV. “Kharchia 65” for reduced plant height and improve grain quality traits. Advances in Biological Research, 3(5-6), 215–221.
Sjodin, J. (1962). Some observations in X1 and X2 of Vicia faba L. after treatment with different mutagenes. Hereditas, 48, 565–586.
Soeranto, H. (2015). Aplikasi irradiasi sinar gamma pada tanaman kehutanan. In Workshop aplikasi teknologi nuklir pada tanaman kehutanan. Bogor: Balai Penelitian Teknologi Perbenihan Tanaman Hutan.
Sosef, M. S. M., & Hong, M .L. Prawirohatmodjo, S. (Eds.). (1998). Plant resources of South-East Asia. No. 5 (3). Timber trees: Lesser-known timbers.
Thapa, C. B. (2004). Effect of acute exposure of gamma rays on seed germination and seedling growth of Pinus kesiya Gord and P. wallichiana A.B. Jacks. Our Nature, 2, 13–17.
The International Seed Testing Association. (2011). International Rules for Seed Testing. Bassersdorf, Switzerland: The International Seed Testing Association.
Thompson, B. E. (1985). Seedling morphological evaluation–what you can tell by looking. In M. L. Duryea (Ed.), Evaluating seedling quality: principles, procedures and predictive abilities of major tests (pp. 59–71). Corvallis: Oregon State University, Forest Research Laboratory.
Villavicencio, A. L. C. H., Mancini-Filho, J., & Delinciee, H. (1998). Application of different techniques to identify the effects of irradiation on brazilian beans after six months storage. Radiation and Physical Chemistry, 52, 161–166.
Wegadara, M. (2008). Effect gamma irradiation on seed of anthurium (Anthurium andreanum). Faculty of Agriculture, Bogor Agricultural University.
Wi, S. G., Chung, B. Y., Kim, J. S., Kim, J. H., Baek, M. . H., & Lee, J. W. (2007). Effects of gamma irradiation on morphological changes and biological responses in plants. Micron, 38, 553–564.
World Health Organization, & Food and Agriculture Organization of the United Nations. (1988). Food irradiation: A technique for preserving and improving the safety of food. Geneva: World Health Organization.
Xu, Y., Cai, N., He, B., Zhang, R., Zhao, W., Mao, J., … Woeste, K. (2016). Germination and early seedling growth of Pinus densata Mast. provenances. Journal of Forest Research, 27(2), 283–294.
Yusuf, K. K., & Nair, P. M. (1974). Effect of gamma irradiation on the indole acetic acid synthesizing system and its significance in sprout inhibition of potatoes. Radiation Botany, 14, 251–256.
Zabala, N. Q. (1990). Silviculture of Michelia champaca. In Silviculture of species. Chittagong: Chittagong University, Institute of Forestry.


DOI: http://dx.doi.org/10.20886/ijfr.2016.3.2.95-106

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FERTILITY VARIATION OF Melaleuca cajuputi subsp. cajuputi AND ITS IMPLICATION IN SEED ORCHARD MANAGEMENT

Author
Noor K. Kartikawati

Abstract


Information about fertility variation of flowering trees in seed orchard including determining the quality of seed production and estimating the genetic diversity are still lacking. This paper evaluates fertility variation, effective population size and genetic diversity among cajuput trees in seedling seed orchard at Paliyan, Gunungkidul for optimizing seed orchard management. A total of 160 trees were observed in three flowering periods of 2011-2013. The fertility based on the number of flowers and fruits were registered for each tree at the age of 12, 13 and 14 years. Results show that there are similar patterns of fertility after three years observation. Sibling coefficients (Ψ) which show fertility variation during three flowering periods are 1.39, 1.25 and 1.43 respectively. They show deviation from random mating, because of individual imbalance for producing flowers and fruits. However, the number of fertile trees was comparatively higher at 2011. More than 15 families of effective population size were recorded each year and supported more than 75% individuals in seed orchard to contribute flowers and seeds. High value of genetic diversity was calculated based on fertility variation (0.965, 0.967 and 0.957, respectively). Fertility variation led to consequence on seed deployment, including seeds of fertile families which should be collected equally and mixed to compose equal proportion of seeds and to avoid domination of highly fertility families and genetic drift. Silvicultural treatments in seed orchard management were indispensable to promote fertility uniformity and to increase effective population size in seed orchard for obtaining maximal genetic gain.

Keywords


Melaleuca cajuputi; seed orchard; fertility variation; genetic diversity

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References


Baskorowati, L., Moncur, M. W., Cunningham, S. A., Doran, J. C., & Kanowski, P. J. (2010). Reproductive biology of Melaleuca alternifolia ( Myrtaceae ) 2 . Incompatibility and pollen transfer in relation to the breeding system, (1984), 384–391.
Bila, A.D., Lindgren, D & Mullin, T. J. (1999). Fertility variation and its effect on diversity over generation in a teak plantation (Tectona grandis L.f). Silvae Genetica, 48, 109–114.
Bilir, N., & Temiraga, H. (2012). Fertility Variation and Status Number in Clonal Seed Orchard of Pinus sylvestris. Pakistan Journal of Biological Sciences, 15(22), 1075–1079. http://doi.org/10.3923/pbjs.2012.1075.1079
Bilir, N., Kang, K. S., & Ozturk, H. (2002). Fertility variation and gene diversity in clonal seed orchards of Pinus brutia, Pinus nigra and Pinus sylvestris in Turkey. Silvae Genetica, 51(2-3), 112–115.
Brophy, J., Craven, L.A., & Doran, J. C. (2013). Melaleucas. Their Botany, essential oils and users. (-, Ed.). Canberra: ACIAR Monograph N0 156. Australian Centre for International Agricultural Research.
Chen, Y. Y., & Hsu, S. B. (2011). Synchronized reproduction promotes species coexistence through reproductive facilitation. Journal of Theoretical Biology, 274(1), 136–144. http://doi.org/10.1016/j.jtbi.2011.01.013
Cherry, M. L., Anekonda, T. S., Albrecht, M. J., & Howe, G. T. (2007). Flower stimulation in young miniaturized seed orchards of Douglas-fir (Pseudotsuga menziesii). Canadian Journal of Forest Research-Revue Canadienne De Recherche Forestiere, 37(1), 1–10. http://doi.org/10.1139/X06-199
Codesido, V., & Fernandez-Lopez, J. (2014). Juvenile radiata pine clonal seed orchard management in Galicia (NW Spain). European Journal of Forest Research, 133(1), 177–190. http://doi.org/10.1007/s10342-013-0757-3
Dinas Tanaman pangan dan Perikanan. (2012). Data Curah Hujan Kabupaten Gunungkidul. Gunungkidul.
Dinas Tanaman pangan dan Perikanan. (2013). Data Curah Hujan Kabupaten Gunungkidul. Gunung Kidul.
Doran, J.C., Rimbawanto, A., Gunn, B.V., & Nirsatmanto, A. (1998). Breeding Plan for Melaleuca cajuputi subsp.cajuputi in Indonesia. (-, Ed.) (- ed.). Indonesia: CSIRO Forestry and Forest Product, Australia Tree Seed Centre and Forest Tree Improvement Research and Development Institute.
Ertekin, M. (2010). Clone Fertility and Genetic Diversity in a Black Pine Seed Orchard. Silvae Genetica, 4(December 2008), 145–150.
Gates, D. J., & Nason, J. D. (2012). Flowering asynchrony and mating system effects on reproductive assurance and mutualism persistence in fragmented fig-fig wasp populations. American Journal of Botany, 99(4), 757–768. http://doi.org/10.3732/ajb.1100472
Giménez-Benavides, L., García-Camacho, R., Iriondo, J. M., & Escudero, A. (2010). Selection on flowering time in Mediterranean high-mountain plants under global warming. Evolutionary Ecology, 25(4), 777–794. http://doi.org/10.1007/s10682-010-9440-z
Gömöry, D., Bruchanik, R., & Paule, L. (2000). Effective Populatinumber estimation of three Scots pine (Pinus sylvestris L.) seed orchards based on an integrated assessment of flowering, floral phenology, and seed orchard. Forest Genetics, 7(1), 65–75. Retrieved from http://www.tuzvo.sk/files/fg/volumes/2000/FG07-1_065-075.pdf
Kamalakannan, R., Varghese, M., & Lindgren, D. (2007). Fertility variation and its implications on relatedness in seed crops in seedling seed orchard of Eucalyptus camaldulensis and E tereticornis. Silvae Genetica, 56(6), 253–259.
Kang, K.S., & Kim, C. S. (2012). Clonal fertility variation and its effect on the effective population size in the seed orchard of dioucious species, Fraxinus rhynchophylla. Silvae Genetika, 61, 79–85.
Kang, K. ., & Lindgren, D. (1999). Fertility variation among clones of Korean pine (Pinus koraiensis S. et Z.) and its implications on seed orchard management. For. Genet, 6(3), 191–200. Retrieved from http://www.tuzvo.sk/files/fg/volumes/1999/FG06-3_191-200.pdf
Kang, K. S., Bila, A. D., Harju, A. M., & Lindgren, D. (2003). Estimation of fertility variation in forest tree populations. Forestry, 76(3), 329–344. http://doi.org/10.1093/forestry/76.3.329
Kang, K. S., & El-Kassaby, Y. A. (2002). Considerations of correlated fertility between genders on genetic diversity: The Pinus densiflora seed orchard as a model. Theoretical and Applied Genetics, 105(8), 1183–1189. http://doi.org/10.1007/s00122-002-1064-4
Kang, K. S., El-Kassaby, Y. A., Chung, M. S., Kim, C. S., Kang, Y. J., & Kang, B. S. (2005). Fertility variation and genetic diversity in a clonal seed orchard of Cryptomeria japonica. Silvae Genetica, 54(3), 104–107.
Kang, K. S., Lindgren, D., & Mullin, T. J. (2001). Prediction of genetic gain and gene diversity in seed orchard crops under alternative management strategies. Theoretical and Applied Genetics, 103(6-7), 1099–1107. http://doi.org/10.1007/s001220100700
Kang, K. S., & Mullin, T. J. (2007). Variation in clone fertility and its effect on the gene diversity of seeds from a seed orchard of Chamaecyparis obtusa in Korea. Silvae Genetica, 56(3-4), 134–137.
Kartikawati, N.K. (2015). Indeks overlap dan sinkroni pembungaan dalam kebun benih kayuputih Paliyan, Gunungkidul. Jurnal Pemuliaan Tanaman Hutan, 9(2), 103–115.
Kartikawati, N. ., Naiem, M., Hardiyanto, & Rimbawanto, A, (2013). Improvement of Seed Orchard Management Based on Mating System of Cajuputi Trees. Indonesian Journal of Biotechnology, 18(I), 26–35.
Lai, B. S., Funda, T., Liewlaksaneeyanawin, C., Kl, J., Van, A., Annette, V. N., … Jack, W. (2010). Pollination dynamics in a Douglas-fir seed orchard as revealed by pedigree reconstruction. Annals of Forest Science.
Lawande, K. E., Haldankar, P. M., Dalvi, N. V., & Parulekar, Y. R. (2014). Effect of Pruning on Flowering and Yield of Jamun cv. Konkan Bahadoli. Journal of Plant Studies, 3(1), 114–118. http://doi.org/10.5539/jps.v3n1p114
Lesica, P., & Kittelson, P. M. (2010). Precipitation and temperature are associated with advanced flowering phenology in a semi-arid grassland. Journal of Arid Environments, 74(9), 1013–1017. http://doi.org/10.1016/j.jaridenv.2010.02.002
Lindgren, D., & Mullin, T. . (1998). Relatedness and Status Number in Seed Orchard Crops. Canadian Journal of Forest Research, 28, 276–283.
Machanská, E., Bajcar, V., Longauer, R. ., & Gömöry, D. (2013). Effective population size estimation in seed orchards: A case study of Pinus nigra ARNOLD and Fraxinus excelsior L./ F. angustifolia VAHL. Genetika, 45(2), 575–588. http://doi.org/10.2298/GENSR1302575M
Sumardi. (2011). Fertility Variation and Effective Population Size. Journal of Forest, 7(7), 66–79.
Susanto, M., Doran, J., Arnold, R., & Rimbawanto, A. (2003). Genetic Variation in Growth and Oil Characteristic of Melaleuca Subsp. and Potential Fr Genetic Improvement. Journal of Tropical Forest Science, 15(3), 469–482.
Swain, T. L., Verryn, S. D., & Laing, M. D. (2013). A comparison of the effect of genetic improvement, seed source and seedling seed orchard variables on progeny growth in Eucalyptus nitens in South Africa. Tree Genetics and Genomes, 9(3), 767–778. http://doi.org/10.1007/s11295-013-0593-0
Varghese, M., Nicodemus, A., Nagarajan, B., & Lindgren, D. (2006). Impact of fertility variation on gene diversity and drift in two clonal seed orchards of teak (Tectona grandis Linn. f.). New Forests, 31(3), 497–512. http://doi.org/10.1007/s11056-005-2178-8
Varghese, M., Kamalakannan, R., Harwood, C. E., Lindgren, D., & McDonald, M. W. (2009). Changes in growth performance and fecundity of Eucalyptus camaldulensis and E. tereticornis during domestication in southern India. Tree Genetics and Genomes, 5(4), 629–640. http://doi.org/10.1007/s11295-009-0215-z
Varghese, M., Kamalakannan, R., Nicodemus, A., & Lindgren, D. (2008). Fertility variation and its impact on seed crops in seed production areas and a natural stand of teak in southern India. Euphytica, 160(1), 131–141. http://doi.org/10.1007/s10681-007-9591-3
Varghese, M., Ravi, N., Gu Son, S., & Lindgren, D. (2003). Variation in Fertility and its impact on Genetic Diversity in a seedling seed orchard of Eucalyptus tereticornis. In Proceeding of Symposium Eucalyptus Plantation Research, Management and Development (p. -). Singapore: World Scientific Publishing Co.Pte.Ltd.
Young, A., Boshier, D., & Boyle, T. (2000). Forest Conservation Genetics: Principles and Practises. Collingwood: CSIRO Publishing.


DOI: http://dx.doi.org/10.20886/ijfr.2016.3.2.83-94

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PRICING STRATEGY FOR QUASI-PUBLIC FOREST TOURISM PARK Case Study in Gunung Pancar Forest Tourism Park, Bogor Indonesia

Author
Ricky Avenzora, Tutut Sunarminto, Priyono E. Pratiekto, Ju Hyoung Lee

Abstract


The dynamic of 3-parties conflict of interests (investor, local people and government) in having actual income from the nature tourism park business in Indonesia became worse since a “very progressive” Government Regulation on Forestry Related Services Tariff (so called PP 12/2014) was issued. On one hand, everybody agrees to improve the 17 years old tariff regulation of PP 59/1998. On the other hand, the “unclear reason” of the new tariffs in PP 12/2014 has shocked many parties and created many difficulties while implemented. This paper studies visitors’ expenditures and their willingness to pay (WTP) for every recreation services scenario by using contingent valuation method (CVM) survey with open-ended eliciting questionnaire instrument. Regarding the characteristic of Gunung Pancar Forest Tourism Park (GPFTP) the method was used to justify a reasonable and eligible ticket pricing strategy at the GPFTP as a quasi-public recreation park. The survey has also specifically addressed the reasonable ticket-price that aligns with the financial assumption of investor's business plan and local people's economic activities. Results of the survey show that the continuum of visitors’ WTP is ranging from 3.4 times (as the response to scenario-1) up to 12.7 times (as the response to scenario-5) of the recent ticket price. The WTP of scenario-2, 3 and 4 are ranging from 4.7, 6.2 and 7.5 times, respectively. Furthermore, the results of Tobit Regression Analysis show that seven important variables are positively correlated, while six variables are negatively correlated with the WTP.

Keywords


Tourism Park; contingent valuation method; willingness to pay; ticket pricing

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References


Ajzen, I., & Driver, B.L. (1992). Contingent value measurement: On the nature and meaning of willingness to pay. Journal of Consumer Psychology, 1(4), 297-316
Andreoni, J. (1990). Impure altruism and donations to public goods: A theory of warm-glow giving. Economic Journal, 100 (401), 464–477.
Avenzora, R. (2008). Penilaian potensi dan obyek wisata: aspek dan indikator penilaian (Tourism objects and potentials evaluation: aspect and indicator of evaluation). In R. Avenzora (eds.), Ekoturisme: Teori dan praktek (pp. 241-278). Jakarta: Badan Rehabilitasi dan Rekonstruksi (BRR) NAD-Nias
Bank Indonesia. 2015. Laporan perekonomian Indonesia 2014. Jakarta: Bank Indonesia
Batubara, R.P. (2013). Strategi pemberdayaan masyarakat dalam pembangunan dan pengembangan Taman Wisata Alam Gunung Pancar (Bachelor Thesis). Nusa Bangsa University, Bogor.
Baumol, W. (1952). Welfare economics and the theory of the state. Cambridge, MA: Harvard University Press.
Baysan, S. (2001). Perceptions of the environmental impacts of tourism: A comparative study of the attitudes of German, Russian and Turkish tourists in Kemer, Antalya. Tourism Geographies, 3(2), 218–235.
Bennett, R.M., & Blaney, R.J.P. (2005). Estimating the benefits of farm animal welfare legislation using the contingent valuation method. Agricultural Economics, 29(1), 85–98.
Bowen, HR. (1943). The interpretation of voting in the allocation of economic resources. Quarterly Journal of Economics, 58: 27-48
Budeanu, A. (2007). Sustainable tourist behaviour? A discussion of opportunities for change. International Journal of Consumer Studies, 31(5), 499–508.
Cho, E.-K.., Han, S.-Y., Lee, H.-S., Lee, H.-R.; Kang, M.-J., & Kim, J-J. (2011). Estimating the economic impacts on the region of Jirisan Trail. The Journal of Korea Institute of Forest Recreation, 15(1), 33-38.
Curtin, S. (2010). The self-presentation and self-development of serious wildlife tourists. International Journal of Tourism Research, 12(1), 17-33.
Davis, D., & Tisdell, C. A. (1999). Tourist levies and willingness to pay for a whale shark experience. Tourism Economics, 5(2), 161-174
Eagles, P. F. J., & J. W. Cascagnette (1995). ''Canadian Ecotourists: Who Are They?''. Tourism Recreation Research, 20(1), 22-28.
Ekayani, M & Nuva. (2013). Economics of Ecotourism. In: Kim, S., Kang, M., & Sukmajaya, D. (eds.), Opportunities and challenges of ecotourism in ASEAN countries (pp. 192– 215). Seoul: Jungmin Publishing Co.
Ekayani, M., Nuva, Yasmin, R.K., Shaffitri, L.R., & Tampubolon, B.I. (2014). Taman nasional untuk siapa? Tantangan membangun wisata alam berbasis masyarakat di Taman Nasional Gunung Halimun Salak. Risalah Kebijakan Pertanian dan Lingkungan, 1(1), 46 – 52.
Gosken, F., Adaman, F., & Zenginobuz, E.U. (2002). On environmental concern, willingness to pay, and postmaterialist values. Environment and Behaviour,34(5), 616–633.
Jang, S. C., Morrison, A. M., & O’Leary, J. T. (2002). Benefit segmentation of Japanese pleasure travelers to the USA and Canada: selecting target markets based on the profitability and risk of individual market segments. Tourism Management, 23(4), 367-378.
Jeong, A.-S., & Park, Y.-C. (2003). An analysis on the development factors of green tourism - with special reference to the use value of recreation forests. The Journal of Korea Institute of Forest Recreation, 7(4), 31-40.
Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1986). Fairness as a constraint on profit seeking: Entitlements in the market. The American Economic Review, 76(4), 728–741.
Kahneman, D., & Knetsch, J. L. (1992). Valuing public goods: The purchase of moral satisfaction. Journal of Environmental Economics and Management,22, 57-70.
Kraus, R.G. (1998). Recreation and leisure in modern society. Boston: Jones & Bartlett Publishers, Inc.
Kristinawanti, I. (2014). Pengaruh pengembangan wisata alam Taman Wisata Alam Gunung Pancar terhadap perspektif sosial ekonomi (Master Thesis). Bogor Agricultural University, Bogor.
Ku,K.-C., & Chen, T.-C. (2013). A conceptual process-based reference model for collaboratively managing recreational scuba diving in Kenting National Park. Marine Policy, 39, 1–10.
Lee, C. K., Lee, J. H., Kim, T. K., & Mjelde, J. W. (2010). Preferences and willingness to pay for bird-watching tour and interpretive services using a choice experiment. Journal of Sustainable Tourism, 18(5), 695-708.
Loureiro, M.L., & Umberger, W.J., (2003). Estimating consumer willingness-to-pay for country-of-origin labeling. Journalof Agriculturaland Resources Economic,28, 287–301.
Maddala, G.S. (1983). Limited dependent and qualitative variables in econometrics. Cambridge: Cambridge University Press.
Mathieson, A., & G. Wall. (1982). Tourism: economic, physical, and social impacts. London: Longman.
Nizar, M.A. (2015). Kelas menengah (middle class) danimplikasinya bagi perekonomian Indonesia. In Zuprianto (Eds.), Bunga rampai ekonomi keuangan (pp. 171-192). Jakarta: Nagakusuma Media Kreatif
Nowacki, M. (2013). Determinants of satisfaction of tourist attraction visitors, New Zealand: Active Poznan
Pagiola, S., Agostini, P., Gobbi, J., de Haan, C., & Ibrahim, M. (2004). Paying for biodiversity conservation services in agricultural landscape. Washington DC: The World Bank.
Park, W.-S. (2010). A study on non-use valuation of recreation forest in the Nature Conservation Zone. Journal of the Korea Real Estate Society, 28(1), 151-173.
Pearce D, G Atkinson, & S Mourato. (2006). Cost-benefit analysis and the environment: Recent development. Paris: OECD
Pizam, A. (1978). Tourism's impacts: The social costs to the destination community as perceived by its residents. Journal of Travel Research, 16(4), 8-12.
Pouta, E., Neuvonen, M., & Sievänen, T. (2009). Participation in crosscountry skiing in Finland under climate change: application of multiple hierarchy stratification perspective. Journal of Leisure Research, 41(1), 91108.
Ramdas, M., & Mohamed, B. (2014). Impacts of tourism on environmental attributes, environmental literacy and willingness to pay: A conceptual and theoretical review. Procedia - Social and Behavioral Science, 144 (2014), 378 – 391
Reynisdottir, M., Song, H., & Agrusa, J. (2008). Willingness to pay entrance fees to natural attractions: An Icelandic case study. Tourism Management, 29(6), 1076-1083.
Romsa, G., & Blenman, M. (1989). Vacation patterns of the elderly German. Annals of Tourism Research, 16(2), 178-188.
Sim, Kyu-Won; Kwon, Heon-Gyo; Lee, Sook-Hyang. (2013). A Study on economic value of national park based on contingent valuation methods - case of 20 national parks. The Journal of Korea Institute of Forest Recreation, 17(4): 33-40.
Stern, P. C. (2000). Toward a coherent theory of environmentally significant behavior,56(3), 407–424.
Supriyanto, B., & Sari, L. (2013). Ecotourism on National Parks in Indonesia. In Teguh, F., &Avenzora, R. (Eds.), Ecotourism and sustainable tourism development in Indonesia: Potentials, lessons and best practices (pp. 34–63). Jakarta: Ministry of Tourism and Creative Economy Republic of Indonesia.
Szell, A. B., & Hallet, Iv, L. F. (2013). Attitudes and perceptions of local residents and tourists toward the protected area of Retezat National Park, Romania Department of Geography, 3(3), 45–61.
Tisdell, C., & Wilson, C. (2005). Perceived impacts of ecotourism on environmental learning and conservation: turtle watching as a case study. Environment, Development and Sustainability, 7(3), 291-302.
Tobin, J. (1958). Estimation of relationships for limited dependent variables. Econometrica.,26 (1) : 24-36
Togridou, A., Hovardas, T., & Pantis, J.D. (2006). Determinants of visitors’ willingness to pay for the National Marine Park of Zakynthos, Greece. Ecological Economics, 60 (1), 308-319
Uyarra, M.C., Côté, I.M., Gill, J.a., Tinch, R.R.T., Viner, D., & Watkinson, A.R. (2005). Island-specific preferences of tourists for environmental features: implications of climate change for tourism-dependent states. Environmental Conservation, 32(1), 11–19.
Villalobos-Céspedes, D., Galdeano-Gómez, E., & Tolón-Becerra, A. (2012). International demand for nature-based tourism in Costa Rica: Sociodemographic and travel indicators. Tourismos, 7(1).
Wagner, T.H., Hu T-W., & Dueńas G.V. (2000). Willingness to pay for mammography: item development and testing among five ethnic groups. Health Policy,53, 105-21
Wang, P.-W., & Jia, J.-B. (2012). Tourists’ willingness to pay for biodiversity conservation and environment protection, Dalai Lake protected area: Implications for entrance fee and sustainable management. Ocean & Coastal Management,62,24–33.


DOI: http://dx.doi.org/10.20886/ijfr.2016.3.2.65-82

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Customizing elements of the International Forest Regime Complex in Poland? Non-implementation of a National Forest Programme and redefined transposition of NATURA 2000 in Bialowieza Forest

Author
Jacqueline Logmani, Max Krott, Michal Tymoteusz Lecyk and Lukas Giessen
Forest Policy and Economics, 2017, vol. 74, issue C, pages 81-90

Abstract: The International Forest Regime Complex consists of a number of institutional elements aiming to regulate forests. Among them the main line of conflict runs between production-oriented and conservation-oriented elements. Voluntary National Forest Programmes as well as biodiversity conservation policies, such as the Convention on Biodiversity and the EU Natura 2000 policy, reflect the main institutional elements of the forest regime complex. The implementation of such individual regime elements as well as the resulting domestic political customizations and consequences in countries, however, so far received little scrutiny. Before this background, this article aims to analyses the political influence of implementing important production- as well as conservation-oriented elements of the International Forest Regime Complex in Poland alongside with important customizations in both processes. Theoretically, we draw on the framework of four pathways of international influences and combine it with bureaucratic politics theory. Empirically, the current study focuses on qualitative in-depths insights into the so far failed implementation of a National Forest Programme in Poland, as well as the implementation and transposition of the EU NATURA 2000 policy, using Bialowieza Forest as an exemplary case. Our results indicate that the Polish Ministry of Environment has driven both processes. Both regime elements were clearly customized by bureaucratic action during the implementation process. While Nature 2000 triggered international support for protection-oriented interests, the dominant production-oriented bureaucracy overweighed it. The forestry bureaucracy offered to accept additional restrictions of forestry for nature protection, but only because they were linked to a gain in territorial authority over Bialowieza National Park and reduced political expectations about Natura 2000 sites all over the country. This re-definition of a formerly conservation-oriented element into a useful tool for production interests can be seen as an intentional, strategic customization of a regime element. In contrast, the process of creating the National Forest Programme so far failed once and since then is under conflictive negotiation. It was drafted as a detailed, nation-wide management plan, rather than a vague and general symbolic policy document as in most other countries. This exceptional customization of the NFP element in the tradition of management planning eventually threatened the dominant forestry interests and, hence, is seen a case of policy non-implementation.
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Advantages and Disadvantages of Fasting for Runners

Author BY   ANDREA CESPEDES  Food is fuel, especially for serious runners who need a lot of energy. It may seem counterintuiti...