利用传统知识预测印度拉达克高海拔寒冷干旱地区的天气

Pub Date : 2023-12-13 DOI:10.56042/ijtk.v22i4.7242
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引用次数: 0

摘要

印度拉达克联邦属地是一个寒冷干旱的高海拔地区。该地区(大多数农民)的生计农业完全依赖于融化的冰川水。本研究在拉达克的雷区进行,目的是识别、优先考虑和了解农业社区用于预测天气的传统知识(TK)。从 2015 年到 2020 年,研究人员从列区 20 个村庄的 320 个家庭收集了原始数据。通过与该地区的主要信息提供者和利益相关者(如研究机构的科学家、农业和职能部门的官员)进行焦点小组讨论,对原始数据进行了辅助和验证。农民利用鸟类和动物的行为变化、大气事件的变化以及从 Lotho(历书)中得出的推断等综合指标来预测天气。鸟类的迁徙模式是最古老、最常见和最普遍的传统知识,被农民用来预测降雪和冬季的开始和范围。鸟类在不同高度和方向的白杨树上筑巢可用于预测即将到来的夏季气温。喜马拉雅旱獭(Marmota himalayana)冬眠的持续时间可作为降雪持续时间和冬季温度的指标。降水(降雨和降雪)的时间和范围可用于预测降雪的分布和冬季气温。直到十年前,Lotho 还被广泛用于规划农业生产。农业社区全面使用不同的传统知识来提高天气预测的准确性。研究发现,由于该地区与大陆的连接有所改善,现代通信技术的引入,以及对农业作为主要谋生手段的依赖性下降(因为出现了服务业和旅游业等非农业机会),年轻一代农民使用传统知识的情况有所减少。不过,大多数农民表示需要将传统知识与现代科学相结合,以解决当地的具体问题。
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Weather prediction using traditional knowledge in cold arid high altitude region of Ladakh in India
The Union territory of Ladakh in India is a cold arid high altitude region. The subsistence nature of agriculture being practiced (by majority of farmers) in the region is solely dependent on melted glacier water. The present study was undertaken in Leh district of Ladakh to identify, prioritize and understand the traditional knowledge (TK) used by the farming community for prediction of weather. The primary data were collected from 320 households from 20 villages in Leh district from 2015 to 2020. The primary data were aided and validated by Focused Group Discussions with key informants and stakeholders working in the region such as scientists from research institutions and officials from agriculture and line departments. Farmers used combination of indicators including behavioral changes of birds and animals, change in atmospheric events and inferences drawn from Lotho (almanac) to predict weather. Migration pattern of birds was the most ancient, common and widely prevalent TK used for prediction of onset and extent of snowfall and winter season by farmers. Building of nest by birds on poplar tree (Poplus sp.) at different heights and directions was used to predict temperatures in the forthcoming summer season. The duration of hibernation of Himalayan marmots (Marmota himalayana) was an indication of duration of snowfall and winter temperatures. Timing and extent of precipitation (rainfall and snowfall) was used to predict the distribution of snowfall and winter temperatures. Lotho was extensively used for planning agricultural operations till a decade ago. The farming community used different TK in totality to enhance the accuracy of weather prediction. It was found that improved connectivity of the region with the mainland, introduction of modern communication technologies and decreasing dependence on agriculture as a primary livelihood option (because of the emergence of non-farm based opportunities such as services and tourism) have made the use of TK less prevalent among young generation farmers. However, the majority of the farmers expressed the need for blending TK and modern science for addressing location-specific problems.
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