A regional impact assessment of climate and land-use change on alpine vegetation

2003 ◽  
Vol 30 (3) ◽  
pp. 401-417 ◽  
Author(s):  
Thomas Dirnböck ◽  
Stefan Dullinger ◽  
Georg Grabherr
2011 ◽  
Vol 11 (1) ◽  
pp. 4-15 ◽  
Author(s):  
L. Podmanicky ◽  
K. Balázs ◽  
M. Belényesi ◽  
Cs. Centeri ◽  
D. Kristóf ◽  
...  

2019 ◽  
Vol 26 (32) ◽  
pp. 33076-33085 ◽  
Author(s):  
Imran Khan ◽  
Tehseen Javed ◽  
Ahmad Khan ◽  
Hongdou Lei ◽  
Ihsan Muhammad ◽  
...  

2011 ◽  
Vol 16 (1) ◽  
Author(s):  
Jake Breton Morris ◽  
Valentina Tassone ◽  
Rudolf de Groot ◽  
Marguerite Camilleri ◽  
Stefano Moncada

Author(s):  
Mohamad Shaharudin Samsurijan ◽  
◽  
Nik Norulaini Abd Rahman ◽  
Muhammad Izzuddin Syakir Ishak ◽  
Tajul Ariffin Masron ◽  
...  

2017 ◽  
Vol 97 ◽  
pp. 287-302 ◽  
Author(s):  
Judith A. Verstegen ◽  
Jan Gerrit Geurt Jonker ◽  
Derek Karssenberg ◽  
Floor van der Hilst ◽  
Oliver Schmitz ◽  
...  

2015 ◽  
Vol 11 ◽  
pp. S84-S97 ◽  
Author(s):  
P. Luo ◽  
Apip ◽  
B. He ◽  
W. Duan ◽  
K. Takara ◽  
...  

2020 ◽  
Vol 127 ◽  
pp. 104653 ◽  
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Matthew J. Knowling ◽  
Jeremy T. White ◽  
Garry W. McDonald ◽  
Joon-Hwan Kim ◽  
Catherine R. Moore ◽  
...  

2020 ◽  
Author(s):  
Yi-Chiung Chao ◽  
Pei-Ling Liu ◽  
Chun-Che Chen ◽  
Hsin-Chi Li ◽  
Chih-Tsung Hsu ◽  
...  

<p>According to the records, an average of 5.3 typhoons hit Taiwan each year over last decade. Typhoon Morakot in 2009 was considered the most severe typhoon, which caused huge damage in Taiwan, including 677 casualty and roughly NT$ 110 billion ($3.3 billion USD) in economic loss. More and more researches documented that typhoon intensity will increase with climate change in western North Pacific region. It will induce the more severe natural disasters, such as flooding, landslide, and water resources risks in Taiwan in the future. Most research focused on the disaster impact assessment in climate change and was assumed that the land use are unchanged in the future. On the other hand, land use changes is another key reason for increasing the hazard risks. Therefore, this study tries to build a land use change model to simulate the land use spatial distribution, and discuss whether the extreme precipitation or the land use change is the major factor to increase flooding risks in Taoyuan City, northern Taiwan in the future.</p><p>This study applied that Markov chain to project the land use demand in 2036 and used the binary logits regression to establish the land use change probability model to allocate the land use spatial distribution in the future. Then, there are two different precipitation intensities used and integrated the allocated land use to evaluate the risks of flooding in 2036.</p><p>We successfully established land use spatial allocation model, and linked the allocated results to disaster impact assessment. Assessment results showed that land use change slightly increases the flooding risks; but extreme precipitation induces more severe flooding risks than land use change. Our results point out that extreme precipitation will induce the more severe flooding risks than land use. In addition, the restricted land development policy could efficiently reduce the flooding risks. If government implement climate change adaptation activities with land use management policies at the same time would possibly reduce the climate change disaster impact in the future.</p>


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