Bridging the gap between ecosystem service assessments and land-use planning through Multi-Criteria Decision Analysis (MCDA)

2016 ◽  
Vol 62 ◽  
pp. 45-56 ◽  
Author(s):  
Johannes Langemeyer ◽  
Erik Gómez-Baggethun ◽  
Dagmar Haase ◽  
Sebastian Scheuer ◽  
Thomas Elmqvist
2020 ◽  
Vol 29 (2) ◽  
pp. 321-343
Author(s):  
Tobias Fasth ◽  
Samuel Bohman ◽  
Aron Larsson ◽  
Love Ekenberg ◽  
Mats Danielson

2020 ◽  
pp. 56-72
Author(s):  
Nararuk Boonyanam ◽  
Somskaow Bejranonda

The rapid increase in economic development and urbanisation along the Eastern Economic Corridor (EEC) of Thailand has accelerated the change in its ecosystem service value (ESV), leading to the demand for related analysis to ensure sustainable growth in the area. The aim of this study is to: (1) evaluate the land use change in Chonburi Province; the most urbanised city in the EEC of Thailand between 2006 and 2016, and (2) assess the land use change impact on ESV. Secondary data from land use maps for 2006 and 2016 was used to evaluate land use change and its impact on ESV using the land use transition matrix, land use dynamic degree, and the benefit transfer method. Urban and built-up land use were found to dominate other use types. The top three highest annual rates of land use change were found in water bodies, rangeland, and urban and built-up land. The ESV in 2016 was found to be 1.31% higher than for 2006. The ecosystem service functions (ESFs) contributing to the increase in ESV were waste treatment, hydrological regulation, climate regulation and recreation and service culture. Future land use planning should focus on increasing wetlands and protecting agricultural land in the study area since these contribute to the highest ESV. In addition, it is essential to balance economic development with ecological enhancement.


Author(s):  
Sai Hu ◽  
Longqian Chen ◽  
Long Li ◽  
Ting Zhang ◽  
Lina Yuan ◽  
...  

Land use change has a significant impact on the structure and function of ecosystems, and the transformation of ecosystems affects the mode and efficiency of land use, which reflects a mutual interaction relationship. The prediction and simulation of future land use change can enhance the foresight of land use planning, which is of great significance to regional sustainable development. In this study, future land use changes are characterized under an ecological optimization scenario based on the grey prediction (1,1) model (GM) and a future land use simulation (FLUS) model. In addition, the ecosystem service value (ESV) of Anhui Province from 1995 to 2030 were estimated based on the revised estimation model. The results indicate the following details: (1) the FLUS model was used to simulate the land use layout of Anhui Province in 2018, where the overall accuracy of the simulation results is high, indicating that the FLUS model is applicable for simulating future land use change; (2) the spatial layout of land use types in Anhui Province is stable and the cultivated land has the highest proportion. The most significant characteristic of future land use change is that the area of cultivated land continues to decrease while the area of built-up land continues to expand; and (3) the ESV of Anhui Province is predicted to increase in the future. The regulating service is the largest ESV contributor, and water area is the land use type with the highest proportion of ESV. These findings provide reference for the formulation of sustainable development policies of the regional ecological environment.


2013 ◽  
Vol 93 ◽  
pp. 128-136 ◽  
Author(s):  
Veronika Fontana ◽  
Anna Radtke ◽  
Valérie Bossi Fedrigotti ◽  
Ulrike Tappeiner ◽  
Erich Tasser ◽  
...  

Author(s):  
Mika Marttunen ◽  
Jyri Mustajoki ◽  
Virpi Lehtoranta ◽  
Heli Saarikoski

AbstractThe ecosystem service (ES) concept has increasingly been applied in environmental planning, while there are several decades of experience in applying multi-criteria decision analysis (MCDA) in complex planning situations. The aim of this article is to assess how the ES concept has been used in water management projects together with MCDA and to examine the experiences gained and make recommendations to overcome any identified challenges. Our conclusions are based on a systematic analysis of 23 articles that were selected among 206 articles focused on water-related studies using, for example, the terms multi-criteria and ecosystem services in the title, abstract or keywords. Here, we explore (i) at what level of detail ESs are included in the decision hierarchy, (ii) the pros and cons of the complementary use of the two approaches, and (iii) how the potential challenges related to the use of MCDA, such as the large number of criteria, double-counting, or assigning criteria weights, are addressed in the selected cases. The results reveal large differences between the case studies. It is shown that only a few case studies used ES categories to classify criteria in the decision hierarchy, that these cases included different numbers of ES criteria and non-ES criteria, and that most case studies elicited stakeholder preferences in MCDA. Although the paper focuses on water management projects, the conclusions regarding the advantages and pitfalls of the complementary use of the methods, as well as our recommendations, are also applicable to other environmental management contexts.


2016 ◽  
Vol 17 ◽  
pp. 142-151 ◽  
Author(s):  
N. Favretto ◽  
L.C. Stringer ◽  
A.J. Dougill ◽  
M. Dallimer ◽  
J.S. Perkins ◽  
...  

2020 ◽  
Vol 124 ◽  
pp. 104604 ◽  
Author(s):  
David N. Barton ◽  
Håkon Sundt ◽  
Ana Adeva Bustos ◽  
Hans-Petter Fjeldstad ◽  
Richard Hedger ◽  
...  

Land ◽  
2019 ◽  
Vol 8 (6) ◽  
pp. 90 ◽  
Author(s):  
Ronja Herzberg ◽  
Tung Gia Pham ◽  
Martin Kappas ◽  
Daniel Wyss ◽  
Chau Thi Minh Tran

Land evaluation is a process that is aimed at the sustainable development of agricultural production in rural areas, especially in developing countries. Therefore, land evaluation involves many aspects of natural conditions, economic, and social issues. This research was conducted in a hilly region of Central Vietnam to assess the land suitability of potential agricultural land use types that are based on scientific and local knowledge. In the frame of this research, Participatory Rural Appraisal (PRA); Analytical Hierarchy Analysis (AHP); Geographic Information System (GIS); and, scoring based scientific literature and local knowledge were applied for Multi-Criteria Decision Analysis (MCDA) for land use evaluation. The results of the PRA survey reveal that five plants offer great agricultural potential in the research area, namely rice, cassava, acacia, banana, and rubber. The land suitability of each plant type varies, depending on physical conditions as well as economic and social aspects. Acacia and cassava represent the most suitable plant types in the research area. Recommendations regarding agricultural land use planning in the A Luoi district are brought forward based on the land evaluation results. The combination of scientific and local knowledge in land assessment based on GIS technology, AHP, and PRA methods is a promising approach for land evaluation.


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