FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4313594418> ?p ?o ?g. }

• W4313594418 endingPage "101500" @default.
• W4313594418 startingPage "101500" @default.
• W4313594418 abstract "The (re)integration of nature into cities has been a progressively promoted strategy to foster sustainable urbanization. To quantify the ecosystem services (ES) provided by urban nature, spatially explicit ES modeling is a key method. However, particularly in absence of independent validation data, there is a clear need for multi-model assessments in order to better understand uncertainties in model outcomes. Here we applied three commonly used open-source ES models (i.e., InVEST, LUCI, NC-Model) to quantify three key urban ES (i.e., local temperature regulation, flood protection and global climate regulation) using the city of The Hague (The Netherlands) as a case study. We quantified the three ES for the current situation and under two hypothetical scenarios representing changes in the amount of vegetation within the city. We found mostly positive correlations between the estimates for a given ES (Spearman’s ρ from 0.11 to 0.84). Yet, our comparison also revealed systematic differences in the ES indicator values between the ES models, as well as different responses to the scenarios. These differences may stem from differences in model structure (i.e., differences in biophysical processes accounted for) and model parameterization (i.e., differences in the value used to quantify a given biophysical process). To further advance urban ES modeling, we recommend i) to improve the representation of urban nature (e.g., green roofs, bioswales, gardens) and urban-specific conditions and processes (e.g., drainage systems, building patterns, soil characteristics) in urban ES models and ii) to systematically account for uncertainty in (urban) ES assessments (e.g., through multi-model assessments)." @default.
• W4313594418 created "2023-01-06" @default.
• W4313594418 creator A5008064977 @default.
• W4313594418 creator A5068313869 @default.
• W4313594418 creator A5069195609 @default.
• W4313594418 creator A5080920676 @default.
• W4313594418 creator A5085359012 @default.
• W4313594418 date "2023-02-01" @default.
• W4313594418 modified "2023-10-03" @default.
• W4313594418 title "Comparing three spatial modeling tools for assessing urban ecosystem services" @default.
• W4313594418 cites W1632182124 @default.
• W4313594418 cites W1968353815 @default.
• W4313594418 cites W2004056710 @default.
• W4313594418 cites W2011006968 @default.
• W4313594418 cites W2042305170 @default.
• W4313594418 cites W2069079992 @default.
• W4313594418 cites W2095375472 @default.
• W4313594418 cites W2098961883 @default.
• W4313594418 cites W2099310981 @default.
• W4313594418 cites W2100322684 @default.
• W4313594418 cites W2131402515 @default.
• W4313594418 cites W2143627031 @default.
• W4313594418 cites W2149185296 @default.
• W4313594418 cites W2158662288 @default.
• W4313594418 cites W2163259805 @default.
• W4313594418 cites W2166237669 @default.
• W4313594418 cites W2175156545 @default.
• W4313594418 cites W2208363685 @default.
• W4313594418 cites W2278645403 @default.
• W4313594418 cites W2319065179 @default.
• W4313594418 cites W2340552966 @default.
• W4313594418 cites W2501241497 @default.
• W4313594418 cites W2554574541 @default.
• W4313594418 cites W2582693414 @default.
• W4313594418 cites W2730979835 @default.
• W4313594418 cites W2753366416 @default.
• W4313594418 cites W2766152454 @default.
• W4313594418 cites W2766633954 @default.
• W4313594418 cites W2774622518 @default.
• W4313594418 cites W2779080142 @default.
• W4313594418 cites W2789339840 @default.
• W4313594418 cites W2790123573 @default.
• W4313594418 cites W2795287358 @default.
• W4313594418 cites W2800233510 @default.
• W4313594418 cites W2810625401 @default.
• W4313594418 cites W2890144689 @default.
• W4313594418 cites W2899933597 @default.
• W4313594418 cites W2928474513 @default.
• W4313594418 cites W2952896657 @default.
• W4313594418 cites W2955818926 @default.
• W4313594418 cites W2956289682 @default.
• W4313594418 cites W2971795275 @default.
• W4313594418 cites W2984264719 @default.
• W4313594418 cites W2995733574 @default.
• W4313594418 cites W3014538205 @default.
• W4313594418 cites W3016681014 @default.
• W4313594418 cites W3019534486 @default.
• W4313594418 cites W3023034882 @default.
• W4313594418 cites W3025977550 @default.
• W4313594418 cites W3035888130 @default.
• W4313594418 cites W3045417521 @default.
• W4313594418 cites W3048114990 @default.
• W4313594418 cites W3048750970 @default.
• W4313594418 cites W3074014079 @default.
• W4313594418 cites W3084261954 @default.
• W4313594418 cites W3120684430 @default.
• W4313594418 cites W3123649638 @default.
• W4313594418 cites W3124277867 @default.
• W4313594418 cites W3135433282 @default.
• W4313594418 cites W3168715883 @default.
• W4313594418 cites W3169186330 @default.
• W4313594418 cites W3171332630 @default.
• W4313594418 cites W3175309894 @default.
• W4313594418 cites W3186714132 @default.
• W4313594418 cites W3202778908 @default.
• W4313594418 cites W4223426198 @default.
• W4313594418 doi "https://doi.org/10.1016/j.ecoser.2022.101500" @default.
• W4313594418 hasPublicationYear "2023" @default.
• W4313594418 type Work @default.
• W4313594418 citedByCount "3" @default.
• W4313594418 countsByYear W43135944182023 @default.
• W4313594418 crossrefType "journal-article" @default.
• W4313594418 hasAuthorship W4313594418A5008064977 @default.
• W4313594418 hasAuthorship W4313594418A5068313869 @default.
• W4313594418 hasAuthorship W4313594418A5069195609 @default.
• W4313594418 hasAuthorship W4313594418A5080920676 @default.
• W4313594418 hasAuthorship W4313594418A5085359012 @default.
• W4313594418 hasBestOaLocation W43135944181 @default.
• W4313594418 hasConcept C107826830 @default.
• W4313594418 hasConcept C110872660 @default.
• W4313594418 hasConcept C111919701 @default.
• W4313594418 hasConcept C149782125 @default.
• W4313594418 hasConcept C166957645 @default.
• W4313594418 hasConcept C18903297 @default.
• W4313594418 hasConcept C205649164 @default.
• W4313594418 hasConcept C20664614 @default.
• W4313594418 hasConcept C26517878 @default.
• W4313594418 hasConcept C2777420705 @default.

• next