A Century of Land-Use Change in South and Southeast Asia

Author(s):  
John F. Richards ◽  
Elizabeth P. Flint
2017 ◽  
Vol 73 (1) ◽  
pp. 22-30 ◽  
Author(s):  
Keigo NODA ◽  
Koshi YOSHIDA ◽  
Hiroaki SHIRAKAWA ◽  
Usep SURAHMAN ◽  
Kazuo OKI

2018 ◽  
Vol 9 (1) ◽  
Author(s):  
Masayuki Kondo ◽  
Kazuhito Ichii ◽  
Prabir K. Patra ◽  
Joseph G. Canadell ◽  
Benjamin Poulter ◽  
...  

2015 ◽  
Vol 15 (19) ◽  
pp. 26895-26957 ◽  
Author(s):  
J. B. Cohen ◽  
E. Lecoeur

Abstract. A simultaneous analysis of 13 years of remotely sensed data of land cover, fires, precipitation, and aerosols from the MODIS, TRMM, and MISR satellites and the AERONET network over Southeast Asia is performed, leading to a set of robust relationships between land-use change and fire being found on inter-annual and intra-annual scales over Southeast Asia, reflecting the heavy amounts of anthropogenic influence over land use change and fires in this region of the world. First, we find that fires occur annually, but with a considerable amount of variance in their onset, duration, and intensity from year to year, and from two separate regions within Southeast Asia from each other. This variability is already partially understood from previous works, including the impacts of both inter-annually and intra-annually occurring influences such as the Monsoon and El-Nino events, but yet there are other as of yet unknown influences that also are found to strongly influence the results. Second, we show that a simple regression-model of the land-cover, fire, and precipitation data can be used to recreate a robust representation of the timing and magnitude of measured AOD from multiple measurements sources of this region using either 8-day (better for onset and duration) or monthly based (better for magnitude) measurements, but not daily measurements. We find that the reconstructed AOD matches the timing and intensity from AERONET measurements to within 70 to 90 % and the timing and intensity of MISR measurements from to within 50 to 95 %. This is a unique finding in this part of the world, since could-covered regions are large, yet the robustness of the model is still capable of holding over many of these regions, where otherwise no fires are observed and hence no emissions source contribution to AOD would otherwise be thought to occur. Third, we determine that while Southeast Asia is a source region of such intense smoke emissions, that it is also impacted by transport of smoke from other regions as well. There are regions in northern Southeast Asia which have two annual AOD peaks, one during the local fire season, and the second smaller peak corresponding to a combination of some local smoke sources as well as transport of aerosols from fires in southern Southeast Asia, and possibly even from anthropogenic sources in South Asia. Conversely, we show that southern Southeast Asia is affected exclusively by its own local fire sources during its own local fire season. Overall, this study highlights the importance of taking into account a simultaneous use of land-use, fire, and precipitation for understanding the impacts of fires on the atmospheric loading and distribution of aerosols in Southeast Asia over both space and time.


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