Ecosystem services of fast-growing tree plantations: A case study on integrating social valuations with land-use changes in Uruguay

2012 ◽  
Vol 14 (1) ◽  
pp. 58-68 ◽  
Author(s):  
P. Vihervaara ◽  
A. Marjokorpi ◽  
T. Kumpula ◽  
M. Walls ◽  
M. Kamppinen
2007 ◽  
Vol 128 (1-3) ◽  
pp. 503-510 ◽  
Author(s):  
Ren-Qiang Li ◽  
Ming Dong ◽  
Jian-Yong Cui ◽  
Li -Li Zhang ◽  
Qing-Guo Cui ◽  
...  

2021 ◽  
Vol 132 ◽  
pp. 108259
Author(s):  
Peng Tian ◽  
Jialin Li ◽  
Luodan Cao ◽  
Ruiliang Pu ◽  
Hongbo Gong ◽  
...  

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 234
Author(s):  
Dong Han ◽  
Jiajun Qiao ◽  
Qiankun Zhu

Rural-spatial restructuring involves the spatial mapping of the current rural development process. The transformation of land-use morphologies, directly or indirectly, affects the practice of rural restructuring. Analyzing this process in terms of the dominant morphology and recessive morphology is helpful for better grasping the overall picture of rural-spatial restructuring. Accordingly, this paper took Zhulin Town in Central China as a case study area. We propose a method for studying rural-spatial restructuring based on changes in the dominant and recessive morphologies of land use. This process was realized by analyzing the distribution and functional suitability of ecological-production-living (EPL) spaces based on land-use types, data on land-use changes obtained over a 30-year observation period, and in-depth research. We found that examining rural-spatial restructuring by matching the distribution of EPL spaces with their functional suitability can help to avoid the misjudgment of the restructuring mode caused by the consideration of the distribution and structural changes in quantity, facilitating greater understanding of the process of rural-spatial restructuring. Although the distribution and quantitative structure of Zhulin’s EPL spaces have changed to differing degrees, ecological- and agricultural-production spaces still predominate, and their functional suitability has gradually increased. The spatial distribution and functional suitability of Zhulin are generally well matched, with 62.5% of the matched types being high-quality growth, and the positive effect of Zhulin’s spatial restructuring over the past 30 years has been significant. We found that combining changes in EPL spatial area and quantity as well as changes in functional suitability is helpful in better understanding the impact of the national macro-policy shift regarding rural development. Sustaining the positive spatial restructuring of rural space requires the timely adjustment of local actors in accordance with the needs of macroeconomic and social development, and a good rural-governance model is essential.


2008 ◽  
Vol 99 (3-4) ◽  
pp. 210-227 ◽  
Author(s):  
Filomena Canora ◽  
M. Dolores Fidelibus ◽  
Antonella Sciortino ◽  
Giuseppe Spilotro

2021 ◽  
Author(s):  
Peter H. Verburg ◽  
Žiga Malek ◽  
Sean P. Goodwin ◽  
Cecilia Zagaria

The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model application, which then allocates land use change across different regions. This facilitates integration with the Integrated Economic-Environmental Modeling (IEEM) Platform for subnational assessments and increases the efficiency of the IEEM and Ecosystem Services Modeling (IEEMESM) workflow. Multi-regional modelling is particularly useful in larger and diverse countries, where we can expect different spatial distributions in land use changes in different regions: regions of different levels of achieved socio-economic development, regions with different topographies (flat vs. mountainous), or different climatic regions (dry vs humid) within a same country. Accounting for such regional differences also facilitates developing ecosystem services models that consider region specific biophysical characteristics. This manual, and the data that is provided with it, demonstrates multi-regional land use change modeling using the country of Colombia as an example. The user will learn how to prepare the data for the model application, and how the multi-regional run differs from a single-region simulation.


2014 ◽  
Vol 124 ◽  
pp. 118-128 ◽  
Author(s):  
Jinfeng Du ◽  
Jean-Claude Thill ◽  
Richard B. Peiser ◽  
Changchun Feng

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