Cellular automata-based model for developing land use ecological security patterns in semi-arid areas: a case study of Ordos, Inner Mongolia, China

2012 ◽  
Vol 70 (1) ◽  
pp. 269-279 ◽  
Author(s):  
Xiyan Mao ◽  
Jijun Meng ◽  
Yunyun Xiang
Keyword(s):  
Land Use ◽  
Cellular Automata ◽  
Inner Mongolia ◽  
Ecological Security ◽  
Arid Areas ◽  
Security Patterns ◽  
Semi Arid

scholarly journals Identification of key ecosystem for ecological restoration in semi-arid areas: a case study in Helin County, Inner Mongolia

2013 ◽  
Vol 33 (6) ◽  
pp. 1822-1831
Author(s):  
彭羽 PENG Yu ◽  
高英 GAO Ying ◽  
冯金朝 FENG Jinzhao ◽  
王德智 WANG Dezhi ◽  
姚森 YAO Sen ◽  
...  
Keyword(s):  
Ecological Restoration ◽  
Inner Mongolia ◽  
Arid Areas ◽  
Semi Arid

Land Use Management by Smallholders’Households as a Promising Way for Synergies Between the Rio Conventions: Case Study in Semi-Arid Areas of Cameroon

2020 ◽  
pp. 189-211
Author(s):  
V. A. Kemeuze ◽  
D. J. Sonwa ◽  
P. M. Mapongmetsem ◽  
L. Verchot ◽  
Evariste Fongnzossie ◽  
...  
Keyword(s):  
Land Use ◽  
Arid Areas ◽  
Land Use Management ◽  
Semi Arid

scholarly journals Assessment of Agricultural Water Requirements for Semi-Arid Areas: A Case Study of the Boufakrane River Watershed (Morocco)

2021 ◽  
Vol 11 (21) ◽  
pp. 10379
Author(s):  
Mohammed El Hafyani ◽  
Ali Essahlaoui ◽  
Kimberley Fung-Loy ◽  
Jason A. Hubbart ◽  
Anton Van Rompaey
Keyword(s):  
Land Use ◽  
Irrigation Water ◽  
Fruit Trees ◽  
Agricultural Water ◽  
Water Requirements ◽  
Crop Types ◽  
Olive Trees ◽  
Semi Arid ◽  
Irrigation Requirements

This work was undertaken to develop a low-cost but reliable assessment method for agricultural water requirements in semi-arid locations based on remote sensing data/techniques. In semi-arid locations, water resources are often limited, and long-term water consumption may exceed the natural replenishment rates of groundwater reservoirs. Sustainable land management in these locations must include tools that facilitate assessment of the impact of potential future land use changes. Agricultural practices in the Boufakrane River watershed (Morocco) were used as a case study application. Land use practices were mapped at the thematic resolution of individual crops, using a total of 13 images generated from the Sentinel-2 satellites. Using a supervised classification scheme, crop types were identified as cereals, other crops followed by cereals, vegetables, olive trees, and fruit trees. Two classifiers were used, namely Support vector machine (SVM) and Random forest (RF). A validation of the classified parcels showed a high overall accuracy of 89.76% for SVM and 84.03% for RF. Results showed that cereal is the most represented species, covering 8870.43 ha and representing 52.42% of the total area, followed by olive trees with 4323.18 ha and a coverage rate of 25%. Vegetables and other crops followed by cereals cover 1530.06 ha and 1661.45 ha, respectively, representing 9.4% and 9.8% of the total area. In the last rank, fruit trees occupy only 3.67% of the total area, with 621.06 ha. The Food and Agriculture Organization (FAO) free software was used to overlay satellite data images with those of climate for agricultural water resources management in the region. This process facilitated estimations of irrigation water requirements for all crop types, taking into account total potential evapotranspiration, effective rainfall, and irrigation water requirements. Results showed that olive trees, fruit trees, and other crops followed by cereals are the most water demanding, with irrigation requirements exceeding 500 mm. The irrigation requirements of cereals and vegetables are lower than those of other classes, with amounts of 300 mm and 150 mm, respectively.

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