Matches in SemOpenAlex for { <https://semopenalex.org/work/W2945442844> ?p ?o ?g. }
- W2945442844 endingPage "603" @default.
- W2945442844 startingPage "594" @default.
- W2945442844 abstract "The unprecedented climate change over the past decades is likely to have ubiquitous and profound impacts on ecosystems. Assessing the vegetation response and ecosystem stability to climate variability is of great importance for developing more sustainable strategies in ecosystem management. Different types of vegetation respond to climate disturbances in various ways and the insurance hypothesis states that biodiversity is able to improve ecosystem stability, so there is a compelling need to further test whether diversity of vegetation composition could increase stability at large scales. In this study, we estimated the response of stability in a comprehensive and accurate metric of the ecosystem to short-term climate anomalies by combining resistance and resilience using an autoregressive modeling method in the Taihang Mountains, an important geographical demarcation line in north China. Our results showed that ecosystem stability differed dramatically with elevations and vegetation types. Mid-elevation zones at the altitude between 500 and 2000 m were particularly stable. However, high-elevation zones (above 2000 m) and low-elevation zones (below 500 m) were comparatively vulnerable. Trade-offs between resistance and resilience were widely observed and stability was largely determined by resilience, especially for ecosystems lied below the elevation of 2000 m. Among all vegetation types, steppes and shrubs were much more stable under climate fluctuations. In contrast, broad-leaf forests had the lowest stability, which was only higher than the cultivated crops. Stability was significantly correlated with the diversity of vegetation composition, a confirmation of insurance effects at large spatial scales. This implies that the vegetation diversity at large spatial scales can enhance the ability of ecosystems to maintain stabilization under climatic fluctuations or recover quickly from climate disturbances." @default.
- W2945442844 created "2019-05-29" @default.
- W2945442844 creator A5008826129 @default.
- W2945442844 creator A5010035718 @default.
- W2945442844 creator A5012353721 @default.
- W2945442844 creator A5025998075 @default.
- W2945442844 creator A5076624358 @default.
- W2945442844 creator A5090023565 @default.
- W2945442844 date "2019-09-01" @default.
- W2945442844 modified "2023-10-17" @default.
- W2945442844 title "Diversity of vegetation composition enhances ecosystem stability along elevational gradients in the Taihang Mountains, China" @default.
- W2945442844 cites W1494272296 @default.
- W2945442844 cites W1649215506 @default.
- W2945442844 cites W1687968548 @default.
- W2945442844 cites W1973178265 @default.
- W2945442844 cites W1977200897 @default.
- W2945442844 cites W1978812661 @default.
- W2945442844 cites W1981187949 @default.
- W2945442844 cites W1984284869 @default.
- W2945442844 cites W1986706966 @default.
- W2945442844 cites W1990370234 @default.
- W2945442844 cites W1995875735 @default.
- W2945442844 cites W2002258037 @default.
- W2945442844 cites W2006629709 @default.
- W2945442844 cites W2029518406 @default.
- W2945442844 cites W2034672914 @default.
- W2945442844 cites W2040690027 @default.
- W2945442844 cites W2060754228 @default.
- W2945442844 cites W2062590206 @default.
- W2945442844 cites W2068474991 @default.
- W2945442844 cites W2074907488 @default.
- W2945442844 cites W2076062051 @default.
- W2945442844 cites W2081599433 @default.
- W2945442844 cites W2086290199 @default.
- W2945442844 cites W2087189381 @default.
- W2945442844 cites W2091516731 @default.
- W2945442844 cites W2098242890 @default.
- W2945442844 cites W2108559697 @default.
- W2945442844 cites W2108704197 @default.
- W2945442844 cites W2114983539 @default.
- W2945442844 cites W2141846515 @default.
- W2945442844 cites W2150918587 @default.
- W2945442844 cites W2153848401 @default.
- W2945442844 cites W2157658472 @default.
- W2945442844 cites W2165301409 @default.
- W2945442844 cites W2283727311 @default.
- W2945442844 cites W2412351530 @default.
- W2945442844 cites W2510070449 @default.
- W2945442844 cites W2512840844 @default.
- W2945442844 cites W2520352995 @default.
- W2945442844 cites W2525796261 @default.
- W2945442844 cites W2562526705 @default.
- W2945442844 cites W2568836529 @default.
- W2945442844 cites W2734961613 @default.
- W2945442844 cites W2745867588 @default.
- W2945442844 cites W2754194982 @default.
- W2945442844 cites W2765955851 @default.
- W2945442844 cites W2779138546 @default.
- W2945442844 cites W2790157098 @default.
- W2945442844 cites W2792868709 @default.
- W2945442844 cites W2799818945 @default.
- W2945442844 cites W2804504707 @default.
- W2945442844 cites W2886762354 @default.
- W2945442844 cites W2893933341 @default.
- W2945442844 cites W4205920120 @default.
- W2945442844 doi "https://doi.org/10.1016/j.ecolind.2019.05.038" @default.
- W2945442844 hasPublicationYear "2019" @default.
- W2945442844 type Work @default.
- W2945442844 sameAs 2945442844 @default.
- W2945442844 citedByCount "36" @default.
- W2945442844 countsByYear W29454428442019 @default.
- W2945442844 countsByYear W29454428442020 @default.
- W2945442844 countsByYear W29454428442021 @default.
- W2945442844 countsByYear W29454428442022 @default.
- W2945442844 countsByYear W29454428442023 @default.
- W2945442844 crossrefType "journal-article" @default.
- W2945442844 hasAuthorship W2945442844A5008826129 @default.
- W2945442844 hasAuthorship W2945442844A5010035718 @default.
- W2945442844 hasAuthorship W2945442844A5012353721 @default.
- W2945442844 hasAuthorship W2945442844A5025998075 @default.
- W2945442844 hasAuthorship W2945442844A5076624358 @default.
- W2945442844 hasAuthorship W2945442844A5090023565 @default.
- W2945442844 hasConcept C100970517 @default.
- W2945442844 hasConcept C105895522 @default.
- W2945442844 hasConcept C110872660 @default.
- W2945442844 hasConcept C130217890 @default.
- W2945442844 hasConcept C132651083 @default.
- W2945442844 hasConcept C142724271 @default.
- W2945442844 hasConcept C18903297 @default.
- W2945442844 hasConcept C205649164 @default.
- W2945442844 hasConcept C2776133958 @default.
- W2945442844 hasConcept C34506677 @default.
- W2945442844 hasConcept C39432304 @default.
- W2945442844 hasConcept C57473165 @default.
- W2945442844 hasConcept C71924100 @default.
- W2945442844 hasConcept C86803240 @default.
- W2945442844 hasConceptScore W2945442844C100970517 @default.
- W2945442844 hasConceptScore W2945442844C105895522 @default.