Matches in SemOpenAlex for { <https://semopenalex.org/work/W3010124445> ?p ?o ?g. }
- W3010124445 endingPage "110214" @default.
- W3010124445 startingPage "110214" @default.
- W3010124445 abstract "The increased frequency of drought events in recent years is known to be responsible for significantly altering plant biodiversity in many of Earth's ecosystems, though the specifics of vegetation-drought interactions, especially the cumulative and time-lag responses, remains unclear. This study aimed to quantitatively investigate how grassland vegetation over the Chinese Loess Plateau (CLP) reacts to drought, specifically the observed cumulative and time-lag effects which are caused, using a combination of the Normalized Difference Vegetation Index (NDVI) and a multiple time-scale drought index (Standardized Precipitation and Evapotranspiration Index, SPEI). Our results revealed that while drought conditions have widespread cumulative impacts on grass growth in the CLP, the time lag effect of drought covered about half of the total area of the CLP. The cumulative effect of drought on grass was found to take place over various time scales, ranging from 5 to 10 months, while the time lag effect occurred within 2–3 months. The different response time of vegetation growth to the cumulative effect of drought in the CLP was found to be highly related to different water conditions. The accumulated months and mean r max-cum both had a significant negative correlation with the mean annual SPEI ( R 2 = 0.90, P < 0.001; R 2 = 0.70, P < 0.001, respectively). The lagged months and mean r max-lag were also found to be negatively correlated with the mean annual SPEI ( R 2 = 0.547, P < 0.05; R 2 = 0.785, P < 0.01, respectively). • Cumulative effect of drought on grass occurred within 5–10 months. • Time lag of drought on grass effect occurred within 2–3 months. • Accumulated months had significant negative correlation with the mean annual SPEI. • Lagged months had significant negative correlation with the mean annual SPEI." @default.
- W3010124445 created "2020-03-13" @default.
- W3010124445 creator A5002149038 @default.
- W3010124445 creator A5035642400 @default.
- W3010124445 creator A5042431974 @default.
- W3010124445 creator A5059389033 @default.
- W3010124445 creator A5085354078 @default.
- W3010124445 date "2020-05-01" @default.
- W3010124445 modified "2023-10-14" @default.
- W3010124445 title "Evaluating the cumulative and time-lag effects of drought on grassland vegetation: A case study in the Chinese Loess Plateau" @default.
- W3010124445 cites W1471742899 @default.
- W3010124445 cites W1612394073 @default.
- W3010124445 cites W1863171981 @default.
- W3010124445 cites W1869713695 @default.
- W3010124445 cites W1913444490 @default.
- W3010124445 cites W2038215949 @default.
- W3010124445 cites W2039361154 @default.
- W3010124445 cites W2043387909 @default.
- W3010124445 cites W2051159954 @default.
- W3010124445 cites W2053452238 @default.
- W3010124445 cites W2056946036 @default.
- W3010124445 cites W2077968790 @default.
- W3010124445 cites W2080407035 @default.
- W3010124445 cites W2086038705 @default.
- W3010124445 cites W2093246898 @default.
- W3010124445 cites W2101408835 @default.
- W3010124445 cites W2102648366 @default.
- W3010124445 cites W2110854629 @default.
- W3010124445 cites W2134206969 @default.
- W3010124445 cites W2161881124 @default.
- W3010124445 cites W2173785510 @default.
- W3010124445 cites W2179545636 @default.
- W3010124445 cites W2345540281 @default.
- W3010124445 cites W2468044511 @default.
- W3010124445 cites W2474983499 @default.
- W3010124445 cites W2588107242 @default.
- W3010124445 cites W2590403866 @default.
- W3010124445 cites W2762390785 @default.
- W3010124445 cites W2766529052 @default.
- W3010124445 cites W2771635983 @default.
- W3010124445 cites W2780204004 @default.
- W3010124445 cites W2791568220 @default.
- W3010124445 cites W2793529083 @default.
- W3010124445 cites W2799393591 @default.
- W3010124445 cites W2805453598 @default.
- W3010124445 cites W2809772488 @default.
- W3010124445 cites W2882992147 @default.
- W3010124445 cites W2888141046 @default.
- W3010124445 cites W2891322019 @default.
- W3010124445 cites W2892571192 @default.
- W3010124445 cites W2896205567 @default.
- W3010124445 cites W2897346639 @default.
- W3010124445 cites W2905355096 @default.
- W3010124445 cites W2908213433 @default.
- W3010124445 cites W2909265650 @default.
- W3010124445 cites W2916271653 @default.
- W3010124445 cites W2921487911 @default.
- W3010124445 cites W2922289806 @default.
- W3010124445 cites W2924734040 @default.
- W3010124445 cites W2946543707 @default.
- W3010124445 cites W2952456418 @default.
- W3010124445 cites W2996476283 @default.
- W3010124445 doi "https://doi.org/10.1016/j.jenvman.2020.110214" @default.
- W3010124445 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32148284" @default.
- W3010124445 hasPublicationYear "2020" @default.
- W3010124445 type Work @default.
- W3010124445 sameAs 3010124445 @default.
- W3010124445 citedByCount "81" @default.
- W3010124445 countsByYear W30101244452020 @default.
- W3010124445 countsByYear W30101244452021 @default.
- W3010124445 countsByYear W30101244452022 @default.
- W3010124445 countsByYear W30101244452023 @default.
- W3010124445 crossrefType "journal-article" @default.
- W3010124445 hasAuthorship W3010124445A5002149038 @default.
- W3010124445 hasAuthorship W3010124445A5035642400 @default.
- W3010124445 hasAuthorship W3010124445A5042431974 @default.
- W3010124445 hasAuthorship W3010124445A5059389033 @default.
- W3010124445 hasAuthorship W3010124445A5085354078 @default.
- W3010124445 hasConcept C100970517 @default.
- W3010124445 hasConcept C107054158 @default.
- W3010124445 hasConcept C110872660 @default.
- W3010124445 hasConcept C132651083 @default.
- W3010124445 hasConcept C134306372 @default.
- W3010124445 hasConcept C142724271 @default.
- W3010124445 hasConcept C153294291 @default.
- W3010124445 hasConcept C1549246 @default.
- W3010124445 hasConcept C159390177 @default.
- W3010124445 hasConcept C176783924 @default.
- W3010124445 hasConcept C18903297 @default.
- W3010124445 hasConcept C205649164 @default.
- W3010124445 hasConcept C2775835988 @default.
- W3010124445 hasConcept C2776133958 @default.
- W3010124445 hasConcept C2777230293 @default.
- W3010124445 hasConcept C2780030769 @default.
- W3010124445 hasConcept C2780376076 @default.
- W3010124445 hasConcept C2993008072 @default.
- W3010124445 hasConcept C31258907 @default.
- W3010124445 hasConcept C33923547 @default.