EBI: An index for delivery of ecosystem service bundles

Biest, K. Van der; D'hondt, Rob; Jacobs, Sander; Landuyt, Dries; Staes, Jan; Goethals, Peter; Meire, Patrick

doi:10.1016/j.ecolind.2013.04.006

Cited by 55 publications

(35 citation statements)

References 21 publications

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“…High-density urban areas in the valleys contrast with more isolated or rural areas. The broad latitudinal climate and vegetation gradient have had historical consequences on social dynamics and economic activities (Tappeiner et al 2008). Because of natural constraints (altitude, climate, slope inclination), the eastern part of the French Alps has been dedicated to mostly extensive livestock farming favoring alpine cultural landscapes.…”

Section: Study Areamentioning

confidence: 99%

“…In the Southern Alps, tourism is usually more rural and small scale. Altogether, the diversity of biophysical settings and human uses is responsible for the high variety of biodiversity, ecosystems, and ES across the entire area (Tappeiner et al 2008, Crouzat et al 2015.…”

Section: Study Areamentioning

confidence: 99%

“…Finally, ES use of facets has been considered to characterize the (mis)matches between supply and demand (Bagstad et al 2014, Van der Biest et al 2014). However, although ES facets are part of the many criteria proposed to characterize and classify trade-offs and synergies between ES (Mouchet et al 2014, Van der Biest et al 2014), most assessments have been carried out irrespective of the distinction between ES facets.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, acknowledging the necessity of taking into account social components, some have integrated demand into trade-off assessments for a single ES, e.g., pollination (Schulp et al 2014), or for multiple ES (García-Nieto et al 2013, Hauck et al 2013, Palomo et al 2013. Finally, ES use of facets has been considered to characterize the (mis)matches between supply and demand (Bagstad et al 2014, Van der Biest et al 2014). However, although ES facets are part of the many criteria proposed to characterize and classify trade-offs and synergies between ES (Mouchet et al 2014, Van der Biest et al 2014), most assessments have been carried out irrespective of the distinction between ES facets.…”

Section: Introductionmentioning

confidence: 99%

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Disentangling trade-offs and synergies around ecosystem services with the influence network framework: illustration from a consultative process over the French Alps

Crouzat¹,

Martín‐López²,

Turkelboom³

2016

E&S

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ABSTRACT. An important aspect of sustainability is to maintain biodiversity and ecosystem functioning while improving human well-being. For this, the ecosystem service (ES) approach has the potential to bridge the still existing gap between ecological management and social development, especially by focusing on trade-offs and synergies between ES and between their beneficiaries. Several frameworks have been proposed to account for trade-offs and synergies between ES, and between ES and other components of socialecological systems. However, to date, insufficient explicit attention has been paid to the three facets encompassed in the ES concept, namely potential supply, demand, and use, leading to incomplete descriptions of ES interactions. We expand on previous frameworks by proposing a new influence network framework (INF) based on an explicit consideration of influence relationships between these three ES facets, biodiversity, and external driving variables. We tested its ability to provide a comprehensive view of complex socialecological interactions around ES through a consultative process focused on environmental management in the French Alps. We synthetized the interactions mentioned during this consultative process and grouped variables according to their overall propensity to influence or be influenced by the system. The resulting directed sequence of influences distinguished between: (1) mostly influential variables (dynamic social variables and ecological state variables), (2) target variables (provisioning and cultural services), and (3) mostly impacted variables (regulating services and biodiversity parameters). We discussed possible reasons for the discrepancies between actual and perceived influences and proposed options to overcome them. We demonstrated that the INF holds the potential to deliver collective assessments of ES relations by: (1) including ecological as well as social aspects, (2) providing opportunities for colearning processes between stakeholder groups, and (3) supporting communication about complex social-ecological systems and consequences for environmental management.

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Section: Study Areamentioning

confidence: 99%

Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Disentangling trade-offs and synergies around ecosystem services with the influence network framework: illustration from a consultative process over the French Alps

Crouzat¹,

Martín‐López²,

Turkelboom³

2016

E&S

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“…In natural resource management, BBNs have been a particularly useful tool for exploring the complexity of ecological and socio-economic systems (McNay et al, 2006;Pollino et al, 2007;Smith et al, 2007a). BBNs have been used to engage stakeholders and natural resource managers in systems analysis and decision-support, using both expert opinion and empirical data in the modeling systems (Baynes et al, 2011;Bosch et al, 2007b;Cain et al, 2003;McCann et al, 2006;Newton et al, 2007;Smith et al, 2005;Smith et al, 2007b;van der Biest et al, 2014;Walshe and Massenbauer, 2008). BBNs have also been applied to the adaptive management of natural resources (Henriksen and Barlebo, 2008;La Morgia et al, 2008;Nyberg et al, 2006), and land-use and wetlands management (Aalders, 2008;Banson et al, 2016;Keshtkar et al, 2013;McCloskey et al, 2011;van Dam et al, 2011;van Dam et al, 2013).…”

Section: An Overview Of Bayesian Belief Network (Bbn)mentioning

confidence: 99%

A study of the drivers of land use change in the Ha Tien Plain region of the Mekong Delta, Vietnam

Nguyen¹

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The wetlands of the Mekong Delta (MD) have contributed prominently to economic development in Vietnam, especially to agricultural and fisheries development. Unfortunately, the design of wetland utilization has traditionally been considered from an economic rather than ecological perspective, and wetlands utilization has suffered from a lack of scientific guidance. Many wetlands have been lost because their full value to society was not taken into account. Furthermore, the status of the delta's biodiversity is both poorly known and poorly documented. Decades of over-exploitation of the wetland ecosystems have had detrimental effects on the environment. The maintenance of the important economic functions of the MD is dependent on maintaining the wetlands' ecosystem functions.This thesis addresses several gaps in the broader wetland conservation literature by focusing on the research problem "How can the drivers of land use change in the study area be better managed to lead to more sustainable outcomes?" Using Systems Thinking in combination with Bayesian Belief Networks modelling methods, and a case study of the Phu My Lepironia grassland biodiversity conservation in Kien Giang, Vietnam, this thesis examines how successful community-based wetlands conservation can be achieved in the Mekong Delta. The study is comprised of the following components: (1) a review of the history of the drivers of wetlands degradation in the MD in order to better understand the transformation of the delta's wetlands in different periods, and an analyses of the driving forces of wetland loss and the underlying causes that derive from the differing policies of political regimes; (2) a study of various factors that influence wetlands grassland degradation and the likely consequences of conservation of the wetlands for carbon stocks; and (3) an analysis of the factors affecting how local communities' decide to make changes in their land use practices, and policy interventions that lead to the enhancement of livelihoods and improved sustainability of wetland grassland conservation in the study area.The drivers that have contributed to wetland loss and degradation in the Mekong Delta over the course of 200 years can be divided into five periods. The drivers of wetland losses have included: (1) resettlement and economic development policies; (2) population growth and urbanization; (3) demand for food and reclamation of wetlands for agriculture, construction of canals and construction of dikes for flood protection systems; (4) expansion of travel systems (waterways and roads); and (5) exploitation of wetlands natural resources. As a result of these factors, only 0.068 million ha of the original 4.0 million ha of the MD currently remain as a primary swamp forest ecosystem.ii The analysis presented in this thesis estimates the value of CO2 sequestered by different Mekong Delta wetland ecosystems (mangroves, Melaleuca swamps and wetland grasslands) to be between 5.53 Mt CO2e for grasslands ecosystem to 37.49 Mt CO2e for mangrove ecosystem...

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InVEST model analysis of the impacts of land use change on landscape pattern and habitat quality in the Xiaolangdi Reservoir area of the Yellow River basin, China

Zhao

Meng

et al. 2022

Land Degrad Dev

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Changes in land use impact the landscape pattern and habitat quality (LPHQ) of ecosystems. Since 1999, the Grain‐for‐Green Program (GGP) has brought dramatic changes in land use in Western China. Although many studies have reported positive contributions of the GGP to sediment reduction, the effects of the GGP on LPHQ remain unclear. This study aimed to assess the spatiotemporal characteristics of LPHQ in the Xiaolangdi Reservoir Area in China (XRAC) before and after GGP implementation (in 1990, 2000, 2010 and 2020) using the InVEST habitat quality model. The results showed that: (1) From 1990 to 2020, the main land use changes in the XRAC were a 34.97% increase in forestland and a 37.56% decrease in farmland. The landscape pattern showed decreased fragmentation and tended toward aggregation, and forestland became the dominant land use type. (2) Habitat quality in the XRAC improved from 0.63 to 0.91 between 1990 and 2020. High‐quality habitat (0.80–1) was observed in 88.24% of the XRAC in 2020. The spatial distribution of habitat degradation decreased overall, with some localized increases; areas with high levels of habitat degradation shrank and aggregated with the concentration of human activities. (3) The spatiotemporal evolution of habitat quality was influenced by both natural factors and human activities; the short‐term improvement in habitat quality in the XRAC was significantly related to the increase in forestland area, decrease in farmland area, and increase in vegetation coverage. Our results provide evidence for assessing the ecological benefit of the GGP in the Yellow River basin.

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EBI: An index for delivery of ecosystem service bundles

Cited by 55 publications

References 21 publications

Disentangling trade-offs and synergies around ecosystem services with the influence network framework: illustration from a consultative process over the French Alps

Disentangling trade-offs and synergies around ecosystem services with the influence network framework: illustration from a consultative process over the French Alps

A study of the drivers of land use change in the Ha Tien Plain region of the Mekong Delta, Vietnam

InVEST model analysis of the impacts of land use change on landscape pattern and habitat quality in the Xiaolangdi Reservoir area of the Yellow River basin, China

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