Patterns and perceptions of climate change in a biodiversity conservation hotspot.

Patterns and perceptions of climate change in a biodiversity conservation hotspot.
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DOI:
10.1371/journal.pone.0032408
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发表时间:
2012
期刊:
影响因子:
3.7
通讯作者:
Goldman A
Goldman A
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Hartter J;Stampone MD;Ryan SJ;Kirner K;Chapman CA;Goldman A

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量化当地人民对气候变化的看法,以及他们对哪些变化重要的评估,对于解决人口稠密的热带地区土地保护和减贫的双重挑战至关重要。东非艾伯丁裂谷地区是世界上最受威胁的生物多样性热点地区之一,原因是小农农业密集,土地和资源压力大,生境丧失和转换。2000年代后期在基巴莱国家公园附近进行的三次独立的家庭调查结果表明,农民对降水量的变化感到担忧。许多受访者报告说,条件更加干燥,降雨时间变得越来越不可预测。对1981年至2010年气候正常期每日降雨量数据的分析表明,尽管季节的时间和过渡变化很大,但季节内和季节间的总降雨量没有显着变化。降雨量数据分析的结果还表明,季节内降雨量分布发生了重大变化,包括雨季内干旱期延长,这可能导致人们认为的降雨量减少,并可能危及粮食安全。我们的研究结果强调了精细尺度气候信息的必要性,以帮助农业生态社区制定有效的适应性管理。
Quantifying local people's perceptions to climate change, and their assessments of which changes matter, is fundamental to addressing the dual challenge of land conservation and poverty alleviation in densely populated tropical regions To develop appropriate policies and responses, it will be important not only to anticipate the nature of expected changes, but also how they are perceived, interpreted and adapted to by local residents. The Albertine Rift region in East Africa is one of the world's most threatened biodiversity hotspots due to dense smallholder agriculture, high levels of land and resource pressures, and habitat loss and conversion. Results of three separate household surveys conducted in the vicinity of Kibale National Park during the late 2000s indicate that farmers are concerned with variable precipitation. Many survey respondents reported that conditions are drier and rainfall timing is becoming less predictable. Analysis of daily rainfall data for the climate normal period 1981 to 2010 indicates that total rainfall both within and across seasons has not changed significantly, although the timing and transitions of seasons has been highly variable. Results of rainfall data analysis also indicate significant changes in the intra-seasonal rainfall distribution, including longer dry periods within rainy seasons, which may contribute to the perceived decrease in rainfall and can compromise food security. Our results highlight the need for fine-scale climate information to assist agro-ecological communities in developing effective adaptive management.
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