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

Site suitability evaluation for ecotourism using MCDM methods and GIS: Case study- Lorestan province, Iran

On based environment, ecotourism led to preserve the environment and on based economic, ecotourism led to dynamical economic in local association by creating a labor and an income. On this base, recognize the sufficienc...

Investigation ground based logging damages on natural regeneration in a selection cutting stand in the Caspian forests of Iran

In this study ground based logging damages on natural regeneration following selection cutting were investigated in Nav Asalem forest in the Caspian forests of Iran. Systematic plot sampling method before and after fini...

The effect of soil penetration rate and domestic wastewater irrigation on different plants and soil systems

The main objective of this work was to study the irrigation effects by domestic wastewater on changes in final penetration rate. This experiment was carried out in a completely randomized block design in in Islamic Azad...

Stady of the effective factors on social forestry in the vegetation kabirkoh areas (Case Study: Dareshahr County)

Social forestry is a common effort aiming at the formation of forest production along with reserving forestry natural resources in long term for whole community to get benefit. The main objective behind the present stud...

Effect of irrigation period on some morphological traits of Guar (Cyamopsis Tetragonoloba) in karaj region

In order to evaluate irrigation period on some morphological traits of guar plant, a randomized complete block design experiment with three replications was conducted in 2015 and 2016. Irrigation treatments included thre...

Download PDF file
  • EP ID EP38215
  • DOI -
  • Views 143
  • Downloads 0

How To Cite

Alireza Sabzevari, Ashkan Nabavi-Pelesaraei (2015). Prognostication of total greenhouse gas emissions and economic indices for hazelnut production in Guilan province, Iran. Journal of Biodiversity and Environmental Sciences (JBES), 6(2), -. https://europub.co.uk./articles/-A-38215