Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-Use
Wetlands are complex and diverse ecosystems, substantially contributing to natural capital. Projected variations in natural and anthropogenic scenarios are likely to alter wetland dynamics by substantially impacting the hydrological and ecosystem functions. This study focuses on monitoring the proba...
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| Format: | Article |
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Frontiers Media S.A.
2019-11-01
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| Series: | Frontiers in Earth Science |
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| Online Access: | https://www.frontiersin.org/article/10.3389/feart.2019.00289/full |
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| author | Sana Ilyas Sana Ilyas Xiyan Xu Gensuo Jia Anzhi Zhang |
| author_facet | Sana Ilyas Sana Ilyas Xiyan Xu Gensuo Jia Anzhi Zhang |
| author_sort | Sana Ilyas |
| collection | DOAJ |
| description | Wetlands are complex and diverse ecosystems, substantially contributing to natural capital. Projected variations in natural and anthropogenic scenarios are likely to alter wetland dynamics by substantially impacting the hydrological and ecosystem functions. This study focuses on monitoring the probable impacts of land use change and El Niño Southern Oscillation (ENSO) variations on wetlands dynamics by analyzing the magnitude and extent of global wetland inundation trends during the study period. A microwave dataset was used to study the trends and interannual variability of surface inundation extent of global lakes, rivers, reservoirs, and wetland classes. Between 1995 and 2015, the average rate of increase in surface inundation extent of global waterbodies and wetlands of 7029.6 km2 per year occurred with the average inundation of 2.9 million km2. Whereas, 1998–2004, 2005–2009, and 2010–2015 have shown significant inter-annual variabilityduring 21 years of study period. The maximum contribution of 3.06 million km2 inundation has been recorded during the strong El Niño year of 2010. Swamps flooded forests and coastal wetlands has shown the most significant increase in surface inundation extent. Our results showed a positive lag correlation between Niño 3.4 sea surface temperature (SST) anomalies and surface inundation of different Global Lakes and Wetland classes. Moreover, lakes, rivers, reservoirs, and wetlands have revealed varying responses to different anthropogenic drivers like cropland (CL), natural vegetation (NV), and urban land (UL). CL, NV and barren land (BL) buffered region has presented strong negative connection with coastal inundation extent. Swamps demonstrated strong positive correlation with urban-land and coastal with shrub/grass land cover type. Through this study the extent of impact projected by climatic oscillations and anthropogenic drivers to water bodies and wetlands can be analyzed for well-informed conflict management and decision-making practices for minimizing the human driven impact on natural water systems. |
| first_indexed | 2024-12-11T11:38:10Z |
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| language | English |
| last_indexed | 2024-12-11T11:38:10Z |
| publishDate | 2019-11-01 |
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| series | Frontiers in Earth Science |
| spelling | doaj.art-b918ee7df3b9456eaebad6f70144b9652022-12-22T01:08:40ZengFrontiers Media S.A.Frontiers in Earth Science2296-64632019-11-01710.3389/feart.2019.00289493757Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-UseSana Ilyas0Sana Ilyas1Xiyan Xu2Gensuo Jia3Anzhi Zhang4Key Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaKey Laboratory of Regional Climate-Environment for Temperate East Asia, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, ChinaWetlands are complex and diverse ecosystems, substantially contributing to natural capital. Projected variations in natural and anthropogenic scenarios are likely to alter wetland dynamics by substantially impacting the hydrological and ecosystem functions. This study focuses on monitoring the probable impacts of land use change and El Niño Southern Oscillation (ENSO) variations on wetlands dynamics by analyzing the magnitude and extent of global wetland inundation trends during the study period. A microwave dataset was used to study the trends and interannual variability of surface inundation extent of global lakes, rivers, reservoirs, and wetland classes. Between 1995 and 2015, the average rate of increase in surface inundation extent of global waterbodies and wetlands of 7029.6 km2 per year occurred with the average inundation of 2.9 million km2. Whereas, 1998–2004, 2005–2009, and 2010–2015 have shown significant inter-annual variabilityduring 21 years of study period. The maximum contribution of 3.06 million km2 inundation has been recorded during the strong El Niño year of 2010. Swamps flooded forests and coastal wetlands has shown the most significant increase in surface inundation extent. Our results showed a positive lag correlation between Niño 3.4 sea surface temperature (SST) anomalies and surface inundation of different Global Lakes and Wetland classes. Moreover, lakes, rivers, reservoirs, and wetlands have revealed varying responses to different anthropogenic drivers like cropland (CL), natural vegetation (NV), and urban land (UL). CL, NV and barren land (BL) buffered region has presented strong negative connection with coastal inundation extent. Swamps demonstrated strong positive correlation with urban-land and coastal with shrub/grass land cover type. Through this study the extent of impact projected by climatic oscillations and anthropogenic drivers to water bodies and wetlands can be analyzed for well-informed conflict management and decision-making practices for minimizing the human driven impact on natural water systems.https://www.frontiersin.org/article/10.3389/feart.2019.00289/fullsurface inundationwetland dynamicsland use land cover changesremote sensingEl Niño Southern Oscillations |
| spellingShingle | Sana Ilyas Sana Ilyas Xiyan Xu Gensuo Jia Anzhi Zhang Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-Use Frontiers in Earth Science surface inundation wetland dynamics land use land cover changes remote sensing El Niño Southern Oscillations |
| title | Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-Use |
| title_full | Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-Use |
| title_fullStr | Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-Use |
| title_full_unstemmed | Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-Use |
| title_short | Interannual Variability of Global Wetlands in Response to El Niño Southern Oscillations (ENSO) and Land-Use |
| title_sort | interannual variability of global wetlands in response to el nino southern oscillations enso and land use |
| topic | surface inundation wetland dynamics land use land cover changes remote sensing El Niño Southern Oscillations |
| url | https://www.frontiersin.org/article/10.3389/feart.2019.00289/full |
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