A review of modeling approaches for ecosystem services assessment in the Asian region

Shoyama, Kikuko; Kamiyama, Chiho; Morimoto, Junko; Ooba, Makoto; Okuro, Toshiya

doi:10.1016/j.ecoser.2017.03.013

Cited by 52 publications

(27 citation statements)

References 144 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Quantitative literature reviews on ecosystem services are also available at the country level (e.g., China, New Zealand, and Argentina) [19–21]. Bibliometric reviews regarding ecosystem services research and assessments have also been performed at both the regional (e.g., Africa, Asia, and Latin America) [22–24] and global [25–27] levels.…”

Section: Introductionmentioning

confidence: 99%

Bibliometric analysis of highly cited articles on ecosystem services

et al. 2019

View full text Add to dashboard Cite

This paper presents global research trends involving highly cited articles on ecosystem services from 1981 to 2017 based on a bibliometric analysis of such articles from the SCI-E and SSCI databases of the Web of Science. The analysis revealed that there were 132 highly cited articles, most of which were published between 2005 and 2014. Based on author keywords, the term ecosystem services was strongly linked to biodiversity. The top three journals in terms of total number of highly cited articles published were Ecological Economics, PNAS, and Ecological Indicators. Despite ranking sixth overall, Science ranked first in both impact factor and total citations per article. The US, UK, Netherlands, Spain, and Sweden were the top five most productive and cooperative countries in the world based on total number of highly cited articles and co-authorship network, respectively. The US was highly connected to Canada, the Netherlands, China and the UK. Stockholm University and Stanford University were the most productive institutions in Europe and North America, respectively. Stanford University is associated with many scholars in the field of ecosystem services research because of the InVEST model. Robert Costanza was the most prolific and highly cited author, the latter being largely due to the first valuation of the world’s ecosystem services and natural capital, he and his co-authors published in 1997 in Nature. Terrestrial, urban, and forest ecosystems were the top types of ecosystems assessed. Regulating and provisioning services were the major ecosystem services studied. Quantitative and qualitative assessments were the main research focus. Most of these highly cited studies on ecosystem services are done on areas geographically located in North America and Europe.

show abstract

Section: Introductionmentioning

confidence: 99%

Bibliometric analysis of highly cited articles on ecosystem services

et al. 2019

View full text Add to dashboard Cite

show abstract

“…(2) continuity: the selected indicators should be measurable continuously over a long time span; (3) standardization: selection of metrics and of height/depth measurements should be as consistent as possible with those at other sites, so that data can be compared; and (4) negotiation: ERAs monitoring involves various stakeholders, and it is important to negotiate with all stakeholders and involve them in EM (Shoyama et al, 2017).…”

Section: Lessons Learnt and Em Frameworkmentioning

confidence: 99%

Extreme value analysis of wave climate around Farasan Islands, southern Red Sea

2020

View full text Add to dashboard Cite

Ecological monitoring (EM) is a significant scientific topic recognized for its potential for providing basic, but vital, data for ecosystem assessment to address sustainability issues. However, a monitoring framework that can lead to EM information and data being used accurately in ecosystem management and policy design is currently lacking. China's Ecological Redline Policy (ERP), one of the first national policies utilizing multiple ecosystem service assessment, requires strict monitoring to reveal policy effects on ecosystem services regulation. In this study, we developed a transdisciplinary framework to build up the ecological redline monitoring network in Shanghai metropolitan area, using: biodiversity, landscape structure, ecosystem function, and stakeholder opinions. We suggest that standard monitoring be based on remote sensing monitoring, supplemented by ground truth monitoring, to form a standard 'Space-Sky-Ground' integrated monitoring network. We also present key lessons learnt from EM practices in Shanghai. This work provides new insights on integrating EM into ERP implementation and ecosystem management on city scale, by illustrating the science-policy process and ER monitoring standards from initial design to application in policy.

show abstract

“…to indirectly estimate the economic values of ecosystem service [9][10][11][12]. Some works have evaluated the ecosystem service values by calculating biophysical indicators or constructing appropriate ecological equations [13][14][15][16]. Other works have evaluated the ecosystem service values in different regions and countries based on the global equivalent factor table [17][18][19] that re-proposed by Costanza et al [20].…”

Section: Introductionmentioning

confidence: 99%

Effect of Urbanization on Ecosystem Service Values in the Beijing-Tianjin-Hebei Urban Agglomeration of China from 2000 to 2014

et al. 2020

View full text Add to dashboard Cite

Rapid urbanization has led to the continuous deterioration of the surrounding natural ecosystem. It is important to identify the key urbanization factors that affect ecosystem services and analyze the potential effects of these factors on the ecosystem. We selected the Beijing, Tianjin, and Hebei (BTH) urban agglomeration to investigate these effects, and designed three indicators to map the urbanization level: Population density, gross domestic product (GDP) density, and the construction land proportion. Four indicators were chosen to quantify ecosystem services: Food production, carbon sequestration and oxygen production, water conservation, and soil conservation. To handle the nonlinear interactions, we used a random forest (RF) method to assess the effect of urbanization on ecosystem services in the BTH area from 2000 to 2014. Our study demonstrated that population density and economic growth were the internal driving forces affecting ecosystem services. We observed changing trends in the effect of urbanization: The effect of population density on ecosystem services increased, the effect of the proportion of construction land was consistent with population density, and the effect of GDP density on ecosystem services decreased. Our results suggest that controlling the population and GDP would significantly influence the sustainable development in large urban areas.

show abstract

A review of modeling approaches for ecosystem services assessment in the Asian region

Cited by 52 publications

References 144 publications

Bibliometric analysis of highly cited articles on ecosystem services

Bibliometric analysis of highly cited articles on ecosystem services

Extreme value analysis of wave climate around Farasan Islands, southern Red Sea

Effect of Urbanization on Ecosystem Service Values in the Beijing-Tianjin-Hebei Urban Agglomeration of China from 2000 to 2014

Contact Info

Product

Resources

About