Global policies increasingly focus on the importance of maintaining or improving the integrity of ecosystems, but defining, assessing, and monitoring integrity in marine protected areas (MPAs) remains a challenge. In this paper, we conceptualized ecological integrity along dimensions of heterogeneity and stability containing seven components: physical structure, diversity, function, persistence, resistance, resilience, and natural variability. Through a structured literature search, we identified indicators and metrics used for quantifying ecosystem status components in the marine environment, then reviewed MPA management plans worldwide for inclusion of these components. We evaluated 202 papers applying 83 ecological indicators built from 72 metrics. Ecosystem components were most comprehensively addressed by metrics of taxa presence, organisms count, and area occupied by benthic organisms, and community structure, biomass, and percent cover indicators. Of the 557 MPA management plans we reviewed globally, 93% used at least one ecosystem status term or its synonym in an ecologically relevant context, but 39% did not address any components of stability. In particular, resistance was mentioned in only 1% of management plans, but in some cases it may be inferred from indicators and metrics used to track the best addressed component in management plans, diversity. Plans for MPAs with both an ecological/biological purpose and a research and education purpose contained ecosystem status terms more frequently than other plans, suggesting that engagement with the scientific community may have improved the application of these terms. An improved understanding of how to operationalize and measure ecological integrity can help MPA monitoring and management.
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BMC Nurs
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Nursing and Midwifery Programme, Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah Institute of Health Sciences, Universiti Brunei Darussalam, Bandar Seri Begawan, Jalan Tungku-Link, Gadong, BE1410, Brunei Darussalam.
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View Article and Find Full Text PDFEnviron Monit Assess
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Civil Engineering Department, University Department, Rajasthan Technical University, Kota, Rajasthan, 324010, India.
The current study investigates the relationship between urbanization, solid waste generation, and environmental changes in Kota city from 2000 to 2023. The study employs Google Earth Engine (GEE) to analyze land use and land cover (LULC) classification, normalized difference vegetation index (NDVI), normalized difference modified water index (NDMWI), normalized difference built-up index (NDBI), land surface temperature (LST), and predict future LULC changes up to 2043. The results show that the built-up area increased by 122.
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