Dersleri yüzünden oldukça stresli bir ruh haline sikiş hikayeleri bürünüp özel matematik dersinden önce rahatlayabilmek için amatör pornolar kendisini yatak odasına kapatan genç adam telefonundan porno resimleri açtığı porno filmini keyifle seyir ederek yatağını mobil porno okşar ruh dinlendirici olduğunu iddia ettikleri özel sex resim bir masaj salonunda çalışan genç masör hem sağlık hem de huzur sikiş için gelip masaj yaptıracak olan kadını gördüğünde porn nutku tutulur tüm gün boyu seksi lezbiyenleri sikiş dikizleyerek onları en savunmasız anlarında fotoğraflayan azılı erkek lavaboya geçerek fotoğraflara bakıp koca yarağını keyifle okşamaya başlar

GET THE APP

A Predictive Approach to Simulate Possible Impacts of Climate Change on the Agricultural Sector | OMICS International| Abstract
ISSN: 2157-7617

Journal of Earth Science & Climatic Change
Open Access

Like us on:

Our Group organises 3000+ Global Conferenceseries Events every year across USA, Europe & Asia with support from 1000 more scientific Societies and Publishes 700+ Open Access Journals which contains over 50000 eminent personalities, reputed scientists as editorial board members.

Open Access Journals gaining more Readers and Citations
700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ Readers

This Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
  • Research Article   
  • J Earth Sci Clim Change 2014, Vol 5(9): 231
  • DOI: 10.4172/2157-7617.1000231

A Predictive Approach to Simulate Possible Impacts of Climate Change on the Agricultural Sector

Gladden LA*
Department of Civil Engineering, Dong-A University, Saha-gu Hadan 2-dong 840, Busan, Korea
*Corresponding Author : Gladden LA, Department of Civil Engineering, Dong-A University, Saha-gu Hadan 2-dong 840, Busan, Korea, Tel: +82-010-8733-5349, Email: vatrax_99@hotmail.com

Received Date: Aug 20, 2014 / Accepted Date: Oct 28, 2014 / Published Date: Nov 10, 2014

Abstract

The aim of this paper is to investigate the possible implications of climate change of maize and beans crop in the country of Belize. The approach utilized PRECIS and observed input data in combination with the Food and Agriculture Organization (FAO) CROPWAT program. Six scenarios were predicted looking at Maximum Temperature (Tmax), Minimum Temperature (Tmin) and Rainfall for the years 2050-2055 along with observed data of similar climatic variables for the year 1998. The approach was use for three sites namely Towerhill which is located to the north of the country, Central Farm which is located at the center of the country and Toledo Research and Development Project Site (TRDP) which is located at the southernmost part of the country. The results showed that there was an increase in both maximum and minimum temperature at two of the three sites with the exception of the Towerhill site and there was a reduction in rainfall in all predicted scenario with the exception of Towerhill site in 2051 which exhibited a 4.28 % increase over the baseline scenario. The reference evapotranspiration ETo value illustrated more precisely the possible impact of climate change as there was an increase in of all ETo values at the three observation sites. In regards to yield percent reduction the scenarios determine that climate change would have an impact on crop yield. Where yield percent reduction was as high as 80.1% at the Central Farm site. The results determined that climate change will affect these crops, by validating this, more suitable strategies and mitigating programs can developed and established to assist Belize in the prevention of a future food crisis.

Keywords: Climate change; Developing countries; Yield reduction; Reference evapotranspiration; Agriculture; Adaptation

Citation: Gladden LA (2014) A Predictive Approach to Simulate Possible Impacts of Climate Change on the Agricultural Sector. J Earth Sci Clim Change 5: 231. Doi: 10.4172/2157-7617.1000231

Copyright: ©2014 Gladden LA. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Top