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Journal ArticleDOI

Towards systematic analyses of ecosystem service trade-offs and synergies : Main concepts, methods and the road ahead

TLDR
In this paper, the authors synthesize the growing body of literature on ecosystem services relationships and identify the following four main study objectives: identification and characterization of co-occurrences of ES, identification of drivers that shape ES relationships, exploration of biophysical constraints of landscapes and limitations to their multifunctionality, and support of environmental planning, management and policy decisions.
Abstract
Ecosystem services (ES), the benefits that humans obtain from nature, are of great importance for human well-being. The challenge of meeting the growing human demands for natural resources while sustaining essential ecosystem functions and resilience requires an in-depth understanding of the complex relationships between ES. These conflicting (‘trade-offs’) or synergistic (‘synergies’) relationships mean that changes in one ES can cause changes in other ES. By synthesizing the growing body of literature on ES relationships, we identified the following four main study objectives: (i) the identification and characterization of co-occurrences of ES, (ii) the identification of drivers that shape ES relationships, (iii) the exploration of biophysical constraints of landscapes and limitations to their multifunctionality, and (iv) the support of environmental planning, management and policy decisions. For each of these objectives we here describe the key concepts, including viewpoints of different disciplines, and highlight the major challenges that need to be addressed. We identified three cross-cutting themes being relevant to all four main types of studies. To help guiding researchers towards more systematic analyses of ES trade-offs and synergies, we conclude with an outlook on suggested future research priorities.

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Citations
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Impact of land use change on ecosystem services: A review

TL;DR: A review of the research literature on how different types of ecosystem services are affected by LUC, and the consequences for human well-being is presented in this article, where the authors examine the influence of LUC on provisioning ecosystem services due to mismatches between agricultural production and hydrological systems.
Journal ArticleDOI

Integrating supply, flow and demand to enhance the understanding of interactions among multiple ecosystem services.

TL;DR: Interactions among eight key ES are assessed, adopting a multistep approach, to suggest that a limited number of socio-ecological variables can explain the majority of the distribution of ES bundles in the landscape.
Journal ArticleDOI

Impacts of urbanization on ecosystem services and their temporal relations: A case study in Northern Ningxia, China

TL;DR: Wang et al. as mentioned in this paper developed a framework to quantify how urbanization influences ecosystem services (ESs) in order to provide suggestions for urban planning during large scale urban agglomeration in northwestern China.
Journal ArticleDOI

Ecosystem services trade-offs and determinants in China's Yangtze River Economic Belt from 2000 to 2015.

TL;DR: The paper examines the synergies between WC-SR, CS-BC and BC-FS on the city level, while WC-BC exhibits significant trade-offs, and no significant relationships for other ES pairs, which is imperative to strengthen ecological protection and management policies in project implementation.
Journal ArticleDOI

Global effects of non-native tree species on multiple ecosystem services

Pilar Castro-Díez, +42 more
TL;DR: A global assessment of NNT effects on the three main categories of ecosystem services, including regulating (RES), provisioning and cultural services (PES) and on an ecosystem disservice (EDS), and a quantitative understanding of the complex synergies, trade‐offs and context dependencies involved is provided.
References
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Journal ArticleDOI

A fast and elitist multiobjective genetic algorithm: NSGA-II

TL;DR: This paper suggests a non-dominated sorting-based MOEA, called NSGA-II (Non-dominated Sorting Genetic Algorithm II), which alleviates all of the above three difficulties, and modify the definition of dominance in order to solve constrained multi-objective problems efficiently.
Journal ArticleDOI

Local Indicators of Spatial Association—LISA

TL;DR: In this paper, a new general class of local indicators of spatial association (LISA) is proposed, which allow for the decomposition of global indicators, such as Moran's I, into the contribution of each observation.
Journal ArticleDOI

Large Area Hydrologic Modeling and Assessment Part i: Model Development

TL;DR: A conceptual, continuous time model called SWAT (Soil and Water Assessment Tool) was developed to assist water resource managers in assessing the impact of management on water supplies and nonpoint source pollution in watersheds and large river basins as discussed by the authors.
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Evolutionary algorithms for solving multi-objective problems

TL;DR: This paper presents a meta-anatomy of the multi-Criteria Decision Making process, which aims to provide a scaffolding for the future development of multi-criteria decision-making systems.
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