Prognostication of total greenhouse gas emissions and economic indices for hazelnut production in Guilan province, Iran
Journal Title: Journal of Biodiversity and Environmental Sciences (JBES) - Year 2015, Vol 6, Issue 2
Abstract
In this study, Artificial Neural Network (ANN) was developed to estimate the total GHG emissions and economic indices of hazelnut production in Guilan province of Iran. In this regard, the data collected from 120 orchardists in the studied region during plant cultivation in 2012-2013 using face-to-face questionnaires. The results indicated that total GHG emissions and hazelnut yield was 77.66 kgCO2eq. ha-1 and 450.20 kg ha-1, respectively. Based on grouping of hazelnut orchards according to three sizes level, the large size had the highest emissions and yield compare to another sizes. Moreover, the GHG ratio was 0.17 for all orchards. The economic indices including gross production value, benefit to cost ratio, productivity and net return were calculated as 1575.70 $ ha-1, 1.64, 0.47 kg $-1 and 615.34 $ ha-1, respectively. In this research, the Levenberg-Marquardt learning algorithm was applied for determination of ANN model. With respect to result, the ANN model with 7-4-4-5 structure was determined as best topology which the highest R2 and lowest RMSE showed the robust model for prediction. In the last section sensitivity analysis was done and its results demonstrated potassium had the highest sensitivity on total GHG emissions and benefit to cost ratio; while nitrogen was the most sensitive input on gross production value, productivity and net return.
Authors and Affiliations
Alireza Sabzevari, Ashkan Nabavi-Pelesaraei
Keywords
Related Articles
- EP ID EP38215
- DOI -
- Views 167
- Downloads 0
Assessment of allelopathic potential of different weeds on germination and early growth of aromatic rice
An experiment was carried out at the Department of Agricultural Chemistry, Bangladesh Agricultural University, Mymensingh during the period from July to November 2011 to investigate the allelopathic potential of differen...
Investigation of oak decline and its relation to physiographic factors in the forests of West of Iran (case study: Ilam Province)
The forest trees decline is important phenomenon that usually it emerges or increases due to climate change. Recently this phenomenon has occurred with extensive trees decline in the Zagros oak forest. The purpose of th...
Diversity of morphological and chemical traits and assessment of salinity tolerance in medicinal Portulaca oleracea L. genotypes
Portulaca oleracea L. is an annual halophyte that can resist salinity as vegetable, forage or medicinal plant. In order to study the effects of different salinity levels on some morphological and chemical properties and...
Ethnomedicinal and Ethnobotanical survey of Jinjerate Koh Valley Drosh, District Chitral
The present study the ethno-botanical and ethno-medicinal uses of the plants resources of Jinjerate Koh Valley, Chitral. In Jinjerate Koh Valley Drosh, District Chitral a total 50 plants belonged 21 families were collect...
Application of analytical hierarchy process in land suitability for forest park location (case study: Ilam county, Iran)
Currently, Human life is being sustained by recreation and leisure as they play an important role within the human lifestyles. Natural and forest park observed as recreational spaces have persistently received a greates...