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Compositing climate change vulnerability of a Mediterranean region using spatiotemporally dynamic proxies for ecological and socioeconomic impacts and stabilities

机译:使用时空动态代理综合地中海地区的气候变化脆弱性,以获取生态,社会经济影响和稳定性

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摘要

The study presents a new methodology to quantify spatiotemporal dynamics of climate change vulnerability at a regional scale adopting a new conceptual model of vulnerability as a function of climate change impacts, ecological stability, and socioeconomic stability. Spatiotemporal trends of equally weighted proxy variables for the three vulnerability components were generated to develop a composite climate change vulnerability index (CCVI) for a Mediterranean region of Turkey combining Landsat time series data, digital elevation model (DEM)-derived data, ordinary kriging, and geographical information system. Climate change impact was based on spatiotemporal trends of August land surface temperature (LST) between 1987 and 2016. Ecological stability was based on DEM, slope, aspect, and spatiotemporal trends of normalized difference vegetation index (NDVI), while socioeconomic stability was quantified as a function of spatiotemporal trends of land cover, population density, per capita gross domestic product, and illiteracy. The zones ranked on the five classes of no-to-extreme vulnerability were identified where highly and moderately vulnerable lands covered 0.02%(12 km(2)) and 11.8%(6374 km(2)) of the study region, respectively, mostly occurring in the interior central part. The adoption of this composite CCVI approach is expected to lead to spatiotemporally dynamic policy recommendations towards sustainability and tailor preventive and mitigative measures to locally specific characteristics of coupled ecological-socioeconomic systems.
机译:这项研究提出了一种新的方法,可以在区域范围内量化气候变化脆弱性的时空动态,采用新的脆弱性概念模型作为气候变化影响,生态稳定性和社会经济稳定性的函数。结合Landsat时间序列数据,数字高程模型(DEM)得出的数据,普通克里金法,生成了三个脆弱性分量的均等加权代理变量的时空趋势,以开发土耳其地中海地区的综合气候变化脆弱性指数(CCVI)。和地理信息系统。气候变化影响是基于1987年至2016年8月地表温度(LST)的时空趋势。生态稳定性基于DEM,坡度,纵横比和时差趋势,基于标准差植被指数(NDVI),而社会经济稳定性的量化标准为与土地覆盖,人口密度,人均国内生产总值和文盲率的时空趋势有关。确定了在五类不可极端脆弱性上排名的区域,其中高度脆弱和中度脆弱的土地分别占研究区域的0.02%(12 km(2))和11.8%(6374 km(2))。发生在内部中央部分。预期采用这种CCVI复合方法将导致时空动态的政策建议,以实现可持续性,并根据生态社会经济系统的当地特点定制预防和缓解措施。

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