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Urban agglomeration worsens spatial disparities in climate adaptation / Seung-Kyum Kim in Scientific reports, vol 11 (2021)  

Public [article]  inScientific reports > vol 11 (2021) . - n° 8446 Titre : Urban agglomeration worsens spatial disparities in climate adaptation Type de document : Article/Communication Auteurs : Seung-Kyum Kim, Auteur ; Mia M. Bennett, Auteur ; Terry van Gevelt, Auteur ; Paul Joosse, Auteur Année de publication : 2021 Article en page(s) : n° 8446 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale [Termes IGN] agglomération [Termes IGN] changement climatique [Termes IGN] disparité [Termes IGN] espace vert [Termes IGN] Kouangtoung (Chine) [Termes IGN] prise en compte du contexte [Termes IGN] vulnérabilité Résumé : (auteur) Many countries promote urban agglomeration to enhance economic competitiveness, but the impacts of this strategy on local climate adaptation remain poorly understood. Here, we use variation in greenspaces to test the effectiveness of climate adaptation policy across climate impacts and vulnerability dimensions. Using satellite imagery and logistic regression, we analyze spatiotemporal correlation between greenspace and climate vulnerability in the Guangdong-Hong Kong-Macau Greater Bay Area, an area comprising ~ 70 million people and 11 cities, making it a useful natural experiment for our study. We find that while greenspace increases proportionally with climate exposure and sensitivity, many cities exhibit discrepancies between greenspace variation and climate vulnerability. Green adaptation funnels into wealthier, less vulnerable areas while bypassing more vulnerable ones, increasing their climate vulnerability and undermining the benefits of urban agglomeration. The results suggest that centrally-planned climate adaptation policy must accommodate local heterogeneity to improve urban sustainability. By neglecting local heterogeneity, urban agglomeration policy risks exacerbating spatial inequalities in climate adaptation. Numéro de notice : A2021-307 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/URBANISME Nature : Actes DOI : 10.1038/s41598-021-87739-1 Date de publication en ligne : 19/04/2021 En ligne : https://doi.org/10.1038/s41598-021-87739-1 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97662 [article]

An evaluation of multi-species empirical tree mortality algorithms for dynamic vegetation modelling / Timothy Thrippleton in Scientific reports, vol 11 (2021)  

Public [article]  inScientific reports > vol 11 (2021) . - n° 19845 Titre : An evaluation of multi-species empirical tree mortality algorithms for dynamic vegetation modelling Type de document : Article/Communication Auteurs : Timothy Thrippleton, Auteur ; Lisa Hülsmann, Auteur ; Maxime Cailleret, Auteur ; Harald Bugmann, Auteur Année de publication : 2021 Article en page(s) : n° 19845 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Termes IGN] Abies alba [Termes IGN] Betula pendula [Termes IGN] dynamique de la végétation [Termes IGN] Europe (géographie politique) [Termes IGN] Fagus sylvatica [Termes IGN] forêt ancienne [Termes IGN] modélisation de la forêt [Termes IGN] mortalité [Termes IGN] Picea abies [Termes IGN] Pinus sylvestris [Termes IGN] Quercus sessiliflora [Vedettes matières IGN] Végétation et changement climatique Résumé : (auteur) Tree mortality is key for projecting forest dynamics, but difficult to portray in dynamic vegetation models (DVMs). Empirical mortality algorithms (MAs) are often considered promising, but little is known about DVM robustness when employing MAs of various structures and origins for multiple species. We analysed empirical MAs for a suite of European tree species within a consistent DVM framework under present and future climates in two climatically different study areas in Switzerland and evaluated their performance using empirical data from old-growth forests across Europe. DVM projections under present climate showed substantial variations when using alternative empirical MAs for the same species. Under climate change, DVM projections showed partly contrasting mortality responses for the same species. These opposing patterns were associated with MA structures (i.e. explanatory variables) and occurred independent of species ecological characteristics. When comparing simulated forest structure with data from old-growth forests, we found frequent overestimations of basal area, which can lead to flawed projections of carbon sequestration and other ecosystem services. While using empirical MAs in DVMs may appear promising, our results emphasize the importance of selecting them cautiously. We therefore synthesize our insights into a guideline for the appropriate use of empirical MAs in DVM applications. Numéro de notice : A2021-964 Affiliation des auteurs : non IGN Thématique : FORET Nature : Article DOI : 10.1038/s41598-021-98880-2 Date de publication en ligne : 06/10/2021 En ligne : http://dx.doi.org/10.1038/s41598-021-98880-2 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100136 [article]