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Geospatial analysis of ecological vulnerability of coffee agroecosystems in Brazil

机译:巴西咖啡生态系统生态脆弱性的地理空间分析

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摘要

Geographical information systems and statistics were used to characterize the climatic vulnerability of coffee agroecosystems in Brazil. Average annual mean air temperature, mean air temperature of the coldest month, and moisture index were used to characterize climatic vulnerability for Coffea arabica and Coffea canephora species cultivation based on high-resolution interpolated climate surfaces from the average of the period of 1950 to 2000 and the A2 2080 climate change scenario. Soil vulnerability for coffee cultivation was derived from soil classes 1:5,000,000 scale and slope estimated from SRTM digital elevation model at 90 m spatial resolution. Coffee tree production at municipal district level from 1990 to 2006 was used to validate the obtained results of the vulnerability of coffee agroecosystems. A coffee tree index was developed using the principal components technique, based on variables related to coffee yield, coffee harvested and coffee cultivated areas. The coffee tree fraction index explained 87.0 % of coffee tree fraction and was classified in five levels inside the municipal district boundaries using natural breaks method. Based on the adopted methodology, it was possible to observe relationship between coffee tree cultivation areas and coffee climatic vulnerability in Brazil for the scenario of 1950 to 2000. Considering A2 2080 scenario of climate change, suitable areas for coffee cultivation were moved to the states of the south and southeast of Brazil.
机译:地理信息系统和统计数据用于表征巴西咖啡农业生态系统的气候脆弱性。基于高分辨率内插气候面(1950年至2000年)的平均值,使用年平均年平均气温,最冷月的平均气温和湿度指数来表征阿拉伯咖啡和咖啡种植的气候脆弱性。 A2 2080年气候变化情景。咖啡种植的土壤脆弱性来自土壤类别1:5,000,000,其比例和坡度是根据SRTM数字高程模型在90 m空间分辨率下估算的。 1990年至2006年在市政区一级的咖啡树生产用于验证所获得的咖啡农业生态系统脆弱性的结果。基于与咖啡产量,咖啡收获量和咖啡种植面积有关的变量,使用主成分技术开发了咖啡树指数。咖啡树分数指数解释了咖啡树分数的87.0%,并使用自然休息法将其划分为市政区范围内的五个等级。根据所采用的方法,有可能观察到1950年至2000年巴西咖啡树种植面积与咖啡气候脆弱性之间的关系。考虑到A2 2080年气候变化的情景,将适合咖啡种植的地区转移到了巴西。巴西的南部和东南部。

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