A material flow-based approach for diagnosing urban ecosystem health
Urban ecosystem health is an important concept in sustainable development. Knowledge of health status is crucial to maintaining the health of urban ecosystems. Existing methods for assessing urban ecosystem health often focus on a synthesizing assessment but neglect analysis of process. These approa...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Shi, Xiaoqing [verfasserIn] |
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E-Artikel |
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Englisch |
| Erschienen: |
2014transfer abstract |
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10 |
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| Übergeordnetes Werk: |
Enthalten in: Self-assembled 3D hierarchical MnCO - Rajendiran, Rajmohan ELSEVIER, 2020, Amsterdam [u.a.] |
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| Übergeordnetes Werk: |
volume:64 ; year:2014 ; day:1 ; month:02 ; pages:437-446 ; extent:10 |
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| DOI / URN: |
10.1016/j.jclepro.2013.09.051 |
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| 520 | |a Urban ecosystem health is an important concept in sustainable development. Knowledge of health status is crucial to maintaining the health of urban ecosystems. Existing methods for assessing urban ecosystem health often focus on a synthesizing assessment but neglect analysis of process. These approaches often rely on a complex indicator system that includes social, economic and environmental factors and use synthesis indicators. This means that their ability to provide diagnosis information for decision makers is limited. For meeting this need, this paper developed a diagnosis approach based on material flow for assessing urban ecosystem health. | ||
| 520 | |a Urban ecosystem health is an important concept in sustainable development. Knowledge of health status is crucial to maintaining the health of urban ecosystems. Existing methods for assessing urban ecosystem health often focus on a synthesizing assessment but neglect analysis of process. These approaches often rely on a complex indicator system that includes social, economic and environmental factors and use synthesis indicators. This means that their ability to provide diagnosis information for decision makers is limited. For meeting this need, this paper developed a diagnosis approach based on material flow for assessing urban ecosystem health. | ||
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Urban ecosystem health is an important concept in sustainable development. Knowledge of health status is crucial to maintaining the health of urban ecosystems. Existing methods for assessing urban ecosystem health often focus on a synthesizing assessment but neglect analysis of process. These approaches often rely on a complex indicator system that includes social, economic and environmental factors and use synthesis indicators. This means that their ability to provide diagnosis information for decision makers is limited. For meeting this need, this paper developed a diagnosis approach based on material flow for assessing urban ecosystem health. |
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Urban ecosystem health is an important concept in sustainable development. Knowledge of health status is crucial to maintaining the health of urban ecosystems. Existing methods for assessing urban ecosystem health often focus on a synthesizing assessment but neglect analysis of process. These approaches often rely on a complex indicator system that includes social, economic and environmental factors and use synthesis indicators. This means that their ability to provide diagnosis information for decision makers is limited. For meeting this need, this paper developed a diagnosis approach based on material flow for assessing urban ecosystem health. |
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Urban ecosystem health is an important concept in sustainable development. Knowledge of health status is crucial to maintaining the health of urban ecosystems. Existing methods for assessing urban ecosystem health often focus on a synthesizing assessment but neglect analysis of process. These approaches often rely on a complex indicator system that includes social, economic and environmental factors and use synthesis indicators. This means that their ability to provide diagnosis information for decision makers is limited. For meeting this need, this paper developed a diagnosis approach based on material flow for assessing urban ecosystem health. |
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