1986-2016年秘鲁查尔万卡高安第斯湿地的时空和气候分析

IF 0.4 Q4 REMOTE SENSING Revista de Teledeteccion Pub Date : 2020-06-23 DOI:10.4995/raet.2020.13325
A. Pauca-Tanco, C. Ramos-Mamani, C. Luque-Fernández, C. Talavera-Delgado, J. F. Villasante-Benavides, J. P. Quispe-Turpo, L. Villegas-Paredes
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引用次数: 7

摘要

高安第斯湿地被认为是脆弱的生态系统,为维持安第斯生物多样性和经济提供生态系统服务。然而,目前全球气候变化的威胁使它们面临严重的风险,这就是为什么本研究的目的是确定1986-2016年期间秘鲁Chalhuanca高安第斯湿地的时空和气候变化。利用1986年、1991年、1996年、2001年、2006年、2011年和2016年旱季的Landsat影像,利用遥感技术计算湿地面积和植被指数(NDVI)。对降水量、最高气温和最低气温进行了移动平均、线性趋势分析和Mann-Kendall非参数统计检验,最后利用相关和回归分析了变量之间的相互作用。结果表明,湿地面积增加了12 ha/ a。NDVI的平均值在评估期有所增加,为最小值平均值的0.26。气候资料分析表明,降水、最高气温和最低气温分别增加了32 mm/dec、0.3°C/dec和0.6°C/dec,最高气温和最低气温显著增加(α<0.05)。相关回归分析表明,湿地面积-降水、ndvi -降水和湿地- ndvi的关系在α<0.01显著,而湿地-温度和ndvi -温度的关系在α<0.05显著。
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Análisis espacio temporal y climático del humedal altoandino de Chalhuanca (Perú) durante el periodo 1986-2016
The high Andean wetlands are considered fragile ecosystems that provide ecosystem services for the maintenance of Andean biodiversity and economy. However, currently the global threat of climate change puts them at serious risk, which is why the objective of this study is to determine the spatial-temporal and climatic variation of the high Andean wetlands of Chalhuanca (Peru), during the period 1986-2016. Landsat scenes were obtained during dry season in the years 1986, 1991, 1996, 2001, 2006, 2011, 2016, and using remote sensing techniques the area and vegetation index (NDVI) of the wetlands were calculated. For precipitation, maximum and minimum temperature, an analysis of moving averages, linear trends and the Mann-Kendall non-parametric statistical test was carried out, and finally the interaction between the variables was evaluated by using correlation and regression. The results show that the wetland area has increased by 12 ha/year. As for the NDVI, an increase of the average values for the evaluated period has been detected, being 0.26 the average of minimum values. Analysis of climate data shows that precipitation, maximum and minimum temperature have increased by 32 mm/dec, 0.3 °C/dec and 0.6 °C/dec respectively, with the maximum and minimum temperature being significant (α<0.05). Finally, correlation and regression analyses show that the wetland area-precipitation, NDVI-precipitation and wetland-NDVI relationships are significant for α<0.01, while the wetland-temperature and NDVI-temperature relationships were significant for α<0.05.
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来源期刊
Revista de Teledeteccion
Revista de Teledeteccion REMOTE SENSING-
CiteScore
1.80
自引率
14.30%
发文量
11
审稿时长
10 weeks
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