{"title":"在意大利南部塔兰托实施3-30-300绿化规则对死亡率的影响","authors":"Orazio Valerio Giannico , Francesco Addabbo , Feliciana Catino , Lucia Bisceglia , Sante Minerba , Antonia Mincuzzi , Rodolfo Sardone","doi":"10.1016/j.ecolind.2025.113895","DOIUrl":null,"url":null,"abstract":"<div><div>The '3-30-300' rule advocates for 30 % tree canopy cover in neighborhoods, with no one living more than 300 m from green space. This health impact assessment study evaluated how implementing this policy could reduce adult mortality in Taranto, an industrialized area in Southern Italy. Population-weighted exposures were calculated using 2020 population data, and 2022 satellite data at 10-meter resolution within 300 m from homes. The study derived a normalized difference vegetation index (NDVI) target corresponding to a 30 % tree-cover, and to interim targets from 10 % to 25 %. The uncertainty analysis was based on 100,000 Monte-Carlo simulations. The results for 2022 estimated that achieving the 30 % tree-cover target, currently achieved by only 1.4 % of the population and corresponding to an estimated NDVI of 0.33 (95 % confidence interval: 0.32–0.33), could prevent 123 (93–155) deaths and 1,246 (929–1,563) years of life lost, reducing mortality by 5.3 % (3.9–6.6 %). Three-cover, shrubland, grassland and cropland were associated with higher NDVI, while built-up areas and deprivation were linked to lower greenness.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"178 ","pages":"Article 113895"},"PeriodicalIF":7.0000,"publicationDate":"2025-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The mortality impacts of implementing the 3-30-300 greenness rule in Taranto, Southern Italy\",\"authors\":\"Orazio Valerio Giannico , Francesco Addabbo , Feliciana Catino , Lucia Bisceglia , Sante Minerba , Antonia Mincuzzi , Rodolfo Sardone\",\"doi\":\"10.1016/j.ecolind.2025.113895\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The '3-30-300' rule advocates for 30 % tree canopy cover in neighborhoods, with no one living more than 300 m from green space. This health impact assessment study evaluated how implementing this policy could reduce adult mortality in Taranto, an industrialized area in Southern Italy. Population-weighted exposures were calculated using 2020 population data, and 2022 satellite data at 10-meter resolution within 300 m from homes. The study derived a normalized difference vegetation index (NDVI) target corresponding to a 30 % tree-cover, and to interim targets from 10 % to 25 %. The uncertainty analysis was based on 100,000 Monte-Carlo simulations. The results for 2022 estimated that achieving the 30 % tree-cover target, currently achieved by only 1.4 % of the population and corresponding to an estimated NDVI of 0.33 (95 % confidence interval: 0.32–0.33), could prevent 123 (93–155) deaths and 1,246 (929–1,563) years of life lost, reducing mortality by 5.3 % (3.9–6.6 %). Three-cover, shrubland, grassland and cropland were associated with higher NDVI, while built-up areas and deprivation were linked to lower greenness.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"178 \",\"pages\":\"Article 113895\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-07-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25008258\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25008258","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
The mortality impacts of implementing the 3-30-300 greenness rule in Taranto, Southern Italy
The '3-30-300' rule advocates for 30 % tree canopy cover in neighborhoods, with no one living more than 300 m from green space. This health impact assessment study evaluated how implementing this policy could reduce adult mortality in Taranto, an industrialized area in Southern Italy. Population-weighted exposures were calculated using 2020 population data, and 2022 satellite data at 10-meter resolution within 300 m from homes. The study derived a normalized difference vegetation index (NDVI) target corresponding to a 30 % tree-cover, and to interim targets from 10 % to 25 %. The uncertainty analysis was based on 100,000 Monte-Carlo simulations. The results for 2022 estimated that achieving the 30 % tree-cover target, currently achieved by only 1.4 % of the population and corresponding to an estimated NDVI of 0.33 (95 % confidence interval: 0.32–0.33), could prevent 123 (93–155) deaths and 1,246 (929–1,563) years of life lost, reducing mortality by 5.3 % (3.9–6.6 %). Three-cover, shrubland, grassland and cropland were associated with higher NDVI, while built-up areas and deprivation were linked to lower greenness.
期刊介绍:
The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published.
• All aspects of ecological and environmental indicators and indices.
• New indicators, and new approaches and methods for indicator development, testing and use.
• Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources.
• Analysis and research of resource, system- and scale-specific indicators.
• Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs.
• How research indicators can be transformed into direct application for management purposes.
• Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators.
• Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.