socioeconomic drivers
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Author(s):  
Jessica Penny ◽  
Slobodan Djordjević ◽  
Albert S Chen

Abstract This paper aims to improve the understanding of environmental and socioeconomic drivers on land use change (LUC) through public participation (PP), and provide recommendations for long-term policy making to support sustainable land use management. Public participation (PP) was necessary to help understand and address the problem and concerns of stakeholders within the study area. Through two collaboration workshops seven individual future land use scenarios were created. Using the FLUS (Future land use simulation) model, land use was projected up till 2060, after which logistic regression analysis took place to find the most significant driver. Results found that LUC within the baseline scenario and the ones chosen by stakeholders were very different, however concluded that Paddy field extent would decrease in the future to be replaced by more drought resilient agriculture; Perennials & Orchards and Field Crops. Outcomes from future scenarios propose that future LUC was driven by environment spatial factors such as elevation and climate, not soil suitability. With, first hand interviews suggesting it is indirect external factors such as, crop price that drive LUC. Overall the study provides steps towards dynamic LUC modelling where future scenarios have been tailored to details specified by the public through their participation.


2021 ◽  
Vol 132 ◽  
pp. 108243
Author(s):  
Zhu Xiaoyu ◽  
Dong Gang ◽  
Xin Xiaoping ◽  
Shao Changliang ◽  
Xu Dawei ◽  
...  

2021 ◽  
Vol 5 ◽  
pp. 100282
Author(s):  
G.G. Mwaura ◽  
M.N. Kiboi ◽  
J.N. Mugwe ◽  
G. Nicolay ◽  
E.K. Bett ◽  
...  

2021 ◽  
Vol 175 ◽  
pp. 105834
Author(s):  
Dandan Zhao ◽  
Junguo Liu ◽  
Hong Yang ◽  
Laixiang Sun ◽  
Olli Varis

2021 ◽  
Author(s):  
Matthew Binsted ◽  
Gokul Iyer ◽  
Pralit Patel ◽  
Neal Graham ◽  
Yang Ou ◽  
...  

Abstract. This paper describes GCAM-USA v5.3_water_dispatch, an open source model that represents key interactions across economic, energy, water, and land systems in a consistent global framework, with subnational detail in the United States. GCAM-USA divides the world into 31 geopolitical regions outside the United States (U.S.) and represents the U.S. economic and energy systems in 51 state-level regions (50 states plus the District of Columbia). The model also includes 235 water basins and 384 land-use regions; 23 of each fall at least partially within the United States. GCAM-USA offers a level of process and temporal resolution rare for models of its class and scope, including detailed subnational representation of U.S. water demands and supplies and sub-annual operations (day/night for each month) in the U.S. electric power sector. GCAM-USA can be used to explore how changes in socioeconomic drivers, technological progress, or policy impact demands for, and production of, energy, water, and crops at a subnational level in the United States, while maintaining consistency with broader national and international conditions. This paper describes GCAM-USA’s structure, inputs, and outputs, with emphasis on new model features. Four illustrative scenarios encompassing varying socioeconomic and energy system futures are used to explore subnational changes in energy, water, and land-use outcomes. We conclude with information about how public users can access the model.


Author(s):  
D. L. Cornelio

Abstract. Shifting cultivation is a common agricultural practice in the Pacific Islands rarely sustainable today since fallow periods are ever shorter due to the demographic growth, farms fragmentation, uncertain land tenure, and pressures from the market economy among other factors (drivers). Official statistical data and maps were utilized to build up chloropleth maps indicating the areas of high land use intensity (LUI) according to farm size ranges and socioeconomic parameters (treatments) for the country. Twenty vector layers were digitized from published maps for eight ranges of farm sizes (from less than 1 to more than 100 ha), and converted to raster format with a 170 m2 pixel size. Critical maps were then built by boolean operations displaying areas in which both the land use and the socioeconomic driver were simultaneously ranked as high or very high. Treatments showed significant differences among them (p < 0.05), being the most influential those related to human demography. In farms smaller than 3 ha size land use is intense when (in order of importance) Indo-fijian population, household size and land availability values are high; while in farms of 20–50 ha size it is intense when the values of (in order of importance) population change, Indo-fijian population, land availability, fishing and sugar farming are also high. LUI patterns normally decrease with the increase of farm size, but increases on farms over 20 ha size. It is recommended to propose policies that will des-accelerate the rates of land use, such as the facilitation of land ownership over farms of bigger sizes, the gradual replacement of mono cropping by agroforestry systems, and the creation of more employment opportunities in the industry, tourism and services sectors.


2021 ◽  
Author(s):  
Charlie Arthur Tebbutt ◽  
Tahia Devisscher ◽  
Laura Obando‐Cabrera ◽  
Gustavo Adolfo Gutiérrez García ◽  
Maria Constanza Meza Elizalde ◽  
...  

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