Evaluating the sensitivity of wetlands to climate change with remote sensing techniques   总被引：1，自引：0，他引：1       下载免费PDF全文

Zutao Ouyang  Richard Becker  Wade Shaver  Jiquan Chen 《水文研究》2014,28(4):1703-1712

Wetlands are valuable ecosystems that provide many valuable services, yet many of these important ecosystems are at risk because of current trends in climate change. The Prairie Pothole Region (PPR) in the upper‐midwest of the United States and south‐central Canada, characterized by glacially sculpted landscapes and abundant wetlands, is one such vulnerable region. According to regional/global climate model predictions, drought occurrence will increase in the PPR region through the 21st century and thus will probably cause the amount of water in wetlands to decline. Water surface area (WSA) of Kidder County, ND, from 1984–2011 was measured by classifying TM/ETM+(Landsat Thematic Mapper / Enhanced Thematic Mapper Plus) images through the modified normalized difference water index. We then developed a linear model based on the WSA of these wetlands and historical climate data and used this to determine the wetland sensitivity to climate change and predict future wetlands WSA in the PPR. Our model based on Palmer drought severity index (PDSI) of the current year (PDSI_{t ? 0}) and of the previous two years (PDSI_{t ? 2}) can explain 79% of the annual wetland WSA variance, suggesting a high sensitivity of wetlands to drought/climate change. We also predicted the PPR wetlands WSA in the 21st century under A1B scenario (a mid‐carbon emission scenario) using simulated PDSI based on Intergovernmental Panel on Climate Change AR4 22‐model ensemble climate. According to our prediction, the WSA of the PPR wetlands will decrease to less than half of the baseline WSA (defined as the mean wetlands WSA of the 2000s) by the mid of the 21st century, and to less than one‐third by the 2080s, and will then slightly increase in the 2090s. This considerable future wetland loss caused only by climate change provides important implication to future wetland management and climate adaptation policy. Copyright © 2012 John Wiley & Sons, Ltd.  相似文献   

闽江河口湿地芦苇和互花米草生物量季节动态研究     

ZHANG Lin-hai  ZENG Cong-sheng  TONG Chuan 《福建地理》2008,(2)

通过对闽江河口湿地芦苇(Phragmites australis)和互花米草(Spartina alterniflo-ra)群落特征和生物量的调查,结果表明:2种植物株高和密度呈显著负相关.芦苇地上部各构件生物量最大值出现在夏季,其值为1 524.8±78.85 g.m-2;互花米草最大值出现在秋季,其值为3 037.2±248.78 g.m-2.互花米草地上生物量显著大于芦苇(P<0.05),但立枯量无显著差异(P>0.05).2种植物地下生物量均为0~15 cm>15~30 cm>30~60 cm;芦苇夏季各层生物量极显著大于其他季节(P<0.05),互花米草地下各层生物量在冬季达到最大,生长季节逐渐下降,夏季最小.芦苇和互花米草总生物量积累动态呈典型的单峰值曲线,总生物量互花米草高于芦苇,但二者差异不显著.随着入侵时间推移,互花米草总生物量还要持续增长.  相似文献