Evaluation of cropping pattern in rainfed areas based on studies of pranata mangsa and weather dynamics

International Conference on Climate Change: Challenges and Opportunity on Environment Degradation Researches

地球科学;生态环境科学

Zaki, M.K.^1 ; Furi, N.T.^2 ; Syamsiyah, Jauhari^3 ; Sumani^3

Agronomy Dept., Graduate School Program, Universitas Sebelas Maret, Ir. Sutami Street Number 36A, Surakarta, Indonesia^1

Agrotechnology Dept., Agriculture Faculty, Universitas Sebelas Maret, Ir. Sutami Street Number 36A, Surakarta, Indonesia^2

Soil Science Dept., Agriculture Faculty, Universitas Sebelas Maret, Ir. Sutami Street Number 36A, Surakarta, Indonesia^3

关键词: Correlation tests;    Crop yield;    Cropping patterns;    Exploratory surveys;    Rainfed;    Rainy seasons;    research methods;    Sampling-based;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/129/1/012018/pdf
DOI  :  10.1088/1755-1315/129/1/012018

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Weather dynamics such as the fifth time of the rainy season and drought are becoming more frequent. These conditions pose a significant impact on the strategies of cultivation such as cropping pattern and crop yields, especially in rainfed areas. One of the steps that can be taken is to return to local wisdom, such as pranata mangsa. This study aimed at analyzing the relationship of the variability of precipitation in rainfed areas with pranata mangsa and then to evaluate cropping patterns based on the result of the analysis. The study was conducted in rainfed areas of the District of Jumantono, Karanganyar Regency; and District of Teras and District of Ampel, Boyolali Regency in June until December 2014. The research method is a descriptive exploratory survey with purposive sampling based on moderate altitude (200-700 masl). The types of data that are used are primary and secondary. Data analysis was used correlation test. The results showed that precipitation in rainfed areas has a close relationship with paranata mangsa. These results explain that pranata mangsa still relevant to be used even though it has happened weather dynamics.