Assessing Climate Change Impacts on Land Use in Iran: The Spatial Fractional Multinomial Logit Modeling Approach

Author(s):  
Khadijeh Alefi ◽  
Mohammad Ghahremanzadeh
2013 ◽  
Vol 450-451 ◽  
pp. 72-82 ◽  
Author(s):  
Yuzhou Luo ◽  
Darren L. Ficklin ◽  
Xiaomang Liu ◽  
Minghua Zhang

2015 ◽  
Vol 533 ◽  
pp. 542-556 ◽  
Author(s):  
Björn Guse ◽  
Jochem Kail ◽  
Johannes Radinger ◽  
Maria Schröder ◽  
Jens Kiesel ◽  
...  

2014 ◽  
Vol 59 ◽  
pp. 29-46 ◽  
Author(s):  
Martine Rutten ◽  
Michiel van Dijk ◽  
Wilbert van Rooij ◽  
Henk Hilderink

2017 ◽  
Vol 28 ◽  
pp. 270-281 ◽  
Author(s):  
Marie-Odile P. Fortier ◽  
Griffin W. Roberts ◽  
Susan M. Stagg-Williams ◽  
Belinda S.M. Sturm

2009 ◽  
Vol 13 (8) ◽  
pp. 1427-1438 ◽  
Author(s):  
M. J. Vepraskas ◽  
J. L. Heitman ◽  
R. E. Austin

Abstract. Hydropedology is well positioned to address contemporary issues resulting from climate change. We propose a six-step process by which digital, field-scale maps will be produced to show where climate change impacts will be greatest for two land uses: a) home sites using septic systems, and b) wetlands. State and federal laws have defined critical water table levels that can be used to determine where septic systems will function well or fail, and where wetlands are likely to occur. Hydrologic models along with historic rainfall and temperature data can be used to compute long records of water table data. However, it is difficult to extrapolate such data across land regions, because too little work has been done to test different ways for doing this reliably. The modeled water table data can be used to define soil drainage classes for individual mapping units, and the drainage classes used to extrapolate the data regionally using existing digital soil survey maps. Estimates of changes in precipitation and temperature can also be input into the models to compute changes to water table levels and drainage classes. To do this effectively, more work needs to be done on developing daily climate files from the monthly climate change predictions. Technology currently exists to use the NRCS Soil Survey Geographic (SSURGO) Database with hydrologic model predictions to develop maps within a GIS that show climate change impacts on septic system performance and wetland boundaries. By using these maps, planners will have the option to scale back development in sensitive areas, or simply monitor the water quality of these areas for pathogenic organisms. The calibrated models and prediction maps should be useful throughout the Coastal Plain region. Similar work for other climate-change and land-use issues can be a valuable contribution from hydropedologists.


2017 ◽  
pp. 49 ◽  
Author(s):  
Philipp Schmidt-Thomé

Climate change adaptation has been growing in importance since the beginning of the 21st century. Historically adaptation, not to climate change but to extreme events, was deeply rooted in many societies and their land-use structures. With industrialization, and especially the increase in globalization since the 1990’s the importance of appropriate adaptation has slowly decreased, leading to increased exposure and risks of human settlements in areas potentially affected by climate change impacts (e.g. sea level rise) and / or extreme events (natural hazards). In order to implement climate change adaptation sustainably feasible solutions should be identified, i.e. viable and acceptable from socio-economic point of views. The identification of such feasible solutions goes beyond pure scientific analysis but incorporates stakeholders, decision-makers and local knowledge.


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