Evaluating marine ecosystem health: Case studies of indicators using direct observations and modelling methods

Rombouts, Isabelle; Beaugrand, Grégory; Artigas, Luis Felipe; Dauvin, Jean–Claude; Gévaert, François; Goberville, Éric; Kopp, Dorothée; Lefebvre, Sébastien; Luczak, Christophe; Spilmont, Nicolas; Travers-Trolet, Morgane; Villanueva, Maria Ching; Kirby, Richard R.

doi:10.1016/j.ecolind.2012.07.001

Cited by 134 publications

(74 citation statements)

References 112 publications

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“…K was further divided into five gradients, with ranges of 0-2, 2-2.5, 2.5-3, 3-4, and 4-5, corresponding to the five health gradients, "Ill", "Unhealthy", "Middle Health", "Healthy", and "Excellent Health", respectively ( Table 1). The division of the Ecosystem Health Index was built according to the karst ecological environment quality index and the results of existing research [36].…”

Section: Design and Calculation Of Krd Ecosystem Health Index (K)mentioning

confidence: 99%

Quantitative Evaluation of Ecosystem Health in a Karst Area of South China

et al. 2016

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Abstract:The purpose of this study is to propose a GIS-based mechanism for diagnosing karst rocky desertification (KRD) ecosystem health. Using the Huajiang Demonstration Area in Guizhou Province as a case study, this research offers a multi-factor indicator system for diagnosing KRD ecosystem health. A set of geologic, environmental, and socio-economic health indicators were developed based on remote sensing images from field-investigation, hydrological, and meteorological monitoring data. With the use of grid GIS technology, this study gives an indicator for diagnosing the spatial expression of desertification at a 5 m × 5 m grid scale. Using spatial overlaying technology based on grid data, the temporal and spatial dynamics of ecosystem health in the Huajiang Demonstration Area were tracked over a 10 year time span. The results of the analysis indicate that ecosystem health in the Huajiang Demonstration Area varies regionally, and has overall improved over time. The proportion of healthy area increased from 3.7% in 2000 to 8.2% in 2010. However, unhealthy and middle-health areas still accounted for 78.7% of the total area by 2010. The most obvious improvement of ecosystem health was in an area where comprehensive control measures for curbing KRD were implemented. These results suggest that comprehensive control of KRD can effectively mitigate ecosystem deterioration and improve ecosystem health in karst regions of South China.

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Section: Design and Calculation Of Krd Ecosystem Health Index (K)mentioning

confidence: 99%

Quantitative Evaluation of Ecosystem Health in a Karst Area of South China

et al. 2016

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“…Nevertheless, sustainable development is the responsibility of all parts of society, i.e., governments, public interest groups, consumers, and the private sector [70]. Unlike other coastal states, where public participation or community-based engagement was key to the success of ICZM, stakeholder involvement in ICZM programs in China has usually been quite weak and received insufficient attention, due to the current top-down management approaches [63]. Principles such as stakeholder consultation should inform sustainable development strategies for the HOSs of coastal regions of China.…”

Section: Discussionmentioning

confidence: 99%

“…Anthropogenic effects on ocean systems are now widely recognized but are often difficult to quantify [63]. Coupled with the complex and unpredictable characteristics of these interactions, an accurate method of assessment can be a useful decision-making tool for sustainable development management [64].…”

Section: Discussionmentioning

confidence: 99%

Assessment and Evolution of the Sustainable Development Ability of Human–Ocean Systems in Coastal Regions of China

et al. 2015

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Abstract:The oceans are a crucial source of natural resources for human development, as productive terrestrial resources increasingly reach their limits of economic and ecological exploitation. With increasing human impact on oceans, it is vital to maintain a sustainable human-ocean relationship. We present an indicator system and information entropy model to assess the evolution of human-ocean systems (HOSs) according to the dissipative structure theory. Sustainable development ability (SDA) scores for HOSs are calculated based on the combination-weighting model. Finally, the Richards model is used to depict the HOSs' evolution states and periods in different coastal regions of China. The assessment indicates that total entropy is undergoing a process of negentropy; and that order degrees of HOSs are gradually improving. The results also suggest that the sustainable development levels of HOSs are continuously improving. The different coastal regions showed notable disparities of SDA and evolutionary processes, due to a differing resource base, environmental carrying capacity, and socio-economic development. Different limiting factors should determine regional policies for enhancing the SDA process; the key to sustainable development of HOS is achieving a balance between the exploitation of ocean resources for socio-economic development and conserving ecosystem services that are critical to wellbeing and livelihoods. OPEN ACCESSSustainability 2015, 7 10400

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“…Nevertheless, the evaluation is semi-quantitative. Furthermore, the importance of man is ignored; however, it can have strong effects on the health of the marine ecosystem (Rombouts et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Assessment of marine ecosystem health of Tianjin Offshore, China

Zheng

You

2013

Oceanological and Hydrobiological Studies

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While the marine ecosystem health is damaged by economic activities, pollution and reclamation projects, the assessment of marine ecosystem health is strongly required to facilitate its maintenance, improvement and management. In this study, the health of the Tianjin marine ecosystem was quantitatively assessed using the ocean health index in which ten public goals are considered. The results indicated that the ocean health index for the Tianjin marine ecosystem is 66, which is higher than the global ocean health index of 60. This indicated that the overall health of the Tianjin marine ecosystem is barely good and the suitable environmental management and measures should be implemented carefully and effectively in the future.

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Evaluating marine ecosystem health: Case studies of indicators using direct observations and modelling methods

Cited by 134 publications

References 112 publications

Quantitative Evaluation of Ecosystem Health in a Karst Area of South China

Quantitative Evaluation of Ecosystem Health in a Karst Area of South China

Assessment and Evolution of the Sustainable Development Ability of Human–Ocean Systems in Coastal Regions of China

Assessment of marine ecosystem health of Tianjin Offshore, China

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