Study of the Effect of Climate Change on Growth of Seawater Snail, Planaxis sulcatus in Coast of Yanbu- Saudi Arabia

Climate change constitutes a major threat to agricultural production, food security, and natural resource management. Saudi Arabia is particularly susceptible to increasing temperatures and extreme climatic events, such as arid weather and drought. The purpose of this study is to assess farmers’ beliefs and concerns as regards climate change. Extensive interviews were conducted with 164 farmers in the Jazan region. Results revealed that 89.6% of the farmers believed that climate change is due to human activities and 93.3% believed that it is because of natural change. Seventy-five percent of the farmers were concerned about insects and 73% about the prevalence of weeds on their farms. Findings of cluster analysis revealed that farmers who are more likely to believe in climate change are more in agreement with the role of extension services in capacity building. Farmers’ beliefs about climate change were significantly influenced by membership of agricultural cooperatives, access to loans, use of extension services, age, farm size, and level of soil fertility. Access to loans was the only significant factor to explain the differences in farmers’ concerns. These results suggest the need for capacity-building activities targeted at improving farmers’ adaptability to manage climate variability.

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MITIGATION OF TIME SERIES APPROACH ON CLIMATE CHANGE ADAPTATION ON RAINFALL OF WADI AL-AQIQ, MADINAH, SAUDI ARABIA

Jurnal Teknologi ◽

10.11113/jt.v79.10206 ◽

2017 ◽

Vol 79 (5) ◽

Cited By ~ 1

Author(s):

Norhan Abd Rahman ◽

Zulkifli Yusop ◽

Zekai Şen ◽

Saud Taher ◽

Ibrahim Lawal Kane

Keyword(s):

Climate Change ◽

Time Series ◽

Saudi Arabia ◽

State Space ◽

General Circulation ◽

Temporal Dynamics ◽

Resource Planning ◽

General Circulation Models ◽

Trend Test ◽

Fluctuation Analysis

Rainfall record plays a significant role in assessment of climate change, water resource planning and management. In arid region, studies on rainfall are rather scarce due to intricacy and constraint of the available data. Most available studies use more advanced approaches such as A2 scenario, General Circulation Models (GCM) and the like, to study the temporal dynamics and make projection on future rainfall. However, those models take no account of the data patterns and its predictability. Therefore, this study uses time series analysis methodologies such as Mann- Kendall trend test, de-trended fluctuation analysis and state space time series approaches to study the dynamics of rainfall records of four stations in and around Wadi Al-Aqiq, Kingdom of Saudi Arabia (KSA). According to Mann-Kendall trend test there are decreasing trend in three out of the four stations. The de-trended fluctuation analysis revealed two distinct scaling properties that spells the predictability of the records and confirmed by state space methods.

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Climate change impacts on date palm cultivation in Saudi Arabia

The Journal of Agricultural Science ◽

10.1017/s0021859617000260 ◽

2017 ◽

Vol 155 (8) ◽

pp. 1203-1218 ◽

Cited By ~ 5

Author(s):

A. ALLBED ◽

L. KUMAR ◽

F. SHABANI

Keyword(s):

Climate Change ◽

Sensitivity Analysis ◽

Saudi Arabia ◽

Potential Distribution ◽

Date Palm ◽

Explanatory Power ◽

Model Parameters ◽

Temperature Threshold ◽

Climatic Parameters ◽

Impacts Of Climate Change

SUMMARYDate palm (Phoenix dactylifera L.) is an important cash crop in many countries, including Saudi Arabia. Understanding the likely potential distribution of this crop under current and future climate scenarios will enable environmental managers to prepare appropriate strategies to manage the changes. In the current study, the simulation model CLIMEX was used to develop a niche model to estimate the impacts of climate change on the current and future potential distribution of date palm. Two global climate models (GCMs), CSIRO-Mk3·0 and MIROC-H under the A2 emission scenario for 2050 and 2100, were used to assess the impacts of climate change. A sensitivity analysis was conducted to identify which model parameters had the most effect on date palm distribution. Further refinements of the potential distributions were performed through the integration of six non-climatic parameters in a geographic information system. Areas containing suitable soil taxonomy, soil texture, soil salinity, land use, landform and slopes of <7° for date palm were selected as suitable refining variables in order to achieve more realistic models. The results from both GCMs exhibited a significant reduction in climatic suitability for date palm cultivation in Saudi Arabia by 2100. Climate sensitivity analysis indicates that the lower optimal soil moisture, cold stress temperature threshold and wet stress threshold parameters had the most effect on sensitivity, while other parameters were moderately sensitive or insensitive to change. The study also demonstrated that the inclusion of non-climatic parameters with CLIMEX outputs increased the explanatory power of the models. Such models can provide early warning scenarios for how environmental managers should respond to changes in the distribution of the date palm in Saudi Arabia.

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