Matches in SemOpenAlex for { <https://semopenalex.org/work/W3015085031> ?p ?o ?g. }
- W3015085031 endingPage "138342" @default.
- W3015085031 startingPage "138342" @default.
- W3015085031 abstract "Spring green-up date (GUD) is a sensitive indicator of climate change, and of great significance to winter wheat production. However, our knowledge of the chain relationships among them is relatively weak. In this study, based on 8-day Enhanced Vegetation Index (EVI) data from Moderate Resolution Imaging Spectroradiometer (MODIS) from 2001 to 2015, we first assessed the performance of four algorithms for extracting winter wheat GUD in the North China Plain (NCP). A multiple linear regression model was then established to quantitatively determine the contributions of the time lag effects of hydrothermal variation on GUD. We further investigated the interactions between GUD and gross primary production (GPP) comprehensively. Our results showed that the rate of change in curvature algorithm (RCCmax) had better performance in capturing the spatiotemporal variation of winter wheat GUD relative to the other three methods (Kmax, CRmax, and cumCRmax). Regarding the non-identical lag time effects of hydrothermal factors, hydrothermal variations could explain winter wheat GUD variations for 82.05% of all pixels, 36.78% higher than that without considering the time lag effects. Variation in GUD negatively correlated with winter wheat GPP after green up in most parts of the NCP, significantly in 35.75% of all pixels with a mean rate of 1.89 g C m−2 yr−1 day−1. Meanwhile, winter wheat GPP exerted a strongly positive feedback on GUD in >82.42% of all pixels (significant in 28.01% of all pixels), characterized by a humped-shape pattern along the long-term average plant productivity. This finding highlights the complex interaction between spring phenology and plant productivity, and also suggests the importance of preseason climate factors on spring phenology." @default.
- W3015085031 created "2020-04-10" @default.
- W3015085031 creator A5003919104 @default.
- W3015085031 creator A5016528318 @default.
- W3015085031 creator A5021362885 @default.
- W3015085031 creator A5043810901 @default.
- W3015085031 creator A5047781677 @default.
- W3015085031 creator A5056997577 @default.
- W3015085031 creator A5064560781 @default.
- W3015085031 creator A5073746039 @default.
- W3015085031 creator A5081191127 @default.
- W3015085031 date "2020-07-01" @default.
- W3015085031 modified "2023-10-14" @default.
- W3015085031 title "Impact of spring phenology variation on GPP and its lag feedback for winter wheat over the North China Plain" @default.
- W3015085031 cites W1156581728 @default.
- W3015085031 cites W1910947081 @default.
- W3015085031 cites W1935627862 @default.
- W3015085031 cites W1965347260 @default.
- W3015085031 cites W1984378216 @default.
- W3015085031 cites W1987967699 @default.
- W3015085031 cites W1991949513 @default.
- W3015085031 cites W1996463620 @default.
- W3015085031 cites W2007621088 @default.
- W3015085031 cites W2035962295 @default.
- W3015085031 cites W2036732030 @default.
- W3015085031 cites W2051662511 @default.
- W3015085031 cites W2053687361 @default.
- W3015085031 cites W2054833142 @default.
- W3015085031 cites W2072093516 @default.
- W3015085031 cites W2081790716 @default.
- W3015085031 cites W2099191715 @default.
- W3015085031 cites W2099261919 @default.
- W3015085031 cites W2100177426 @default.
- W3015085031 cites W2113410727 @default.
- W3015085031 cites W2114313289 @default.
- W3015085031 cites W2115437058 @default.
- W3015085031 cites W2119470700 @default.
- W3015085031 cites W2120397678 @default.
- W3015085031 cites W2120439950 @default.
- W3015085031 cites W2128467912 @default.
- W3015085031 cites W2130213517 @default.
- W3015085031 cites W2131062081 @default.
- W3015085031 cites W2133720477 @default.
- W3015085031 cites W2133813567 @default.
- W3015085031 cites W2137593756 @default.
- W3015085031 cites W2140844338 @default.
- W3015085031 cites W2146652541 @default.
- W3015085031 cites W2146804851 @default.
- W3015085031 cites W2150234230 @default.
- W3015085031 cites W2153577224 @default.
- W3015085031 cites W2154951153 @default.
- W3015085031 cites W2196391350 @default.
- W3015085031 cites W2211764928 @default.
- W3015085031 cites W2252943156 @default.
- W3015085031 cites W2319148335 @default.
- W3015085031 cites W2342130567 @default.
- W3015085031 cites W2373000492 @default.
- W3015085031 cites W2395364234 @default.
- W3015085031 cites W2461658512 @default.
- W3015085031 cites W2478163489 @default.
- W3015085031 cites W2536362164 @default.
- W3015085031 cites W2547302987 @default.
- W3015085031 cites W2575237465 @default.
- W3015085031 cites W2597128531 @default.
- W3015085031 cites W2603028033 @default.
- W3015085031 cites W2611751328 @default.
- W3015085031 cites W2621041193 @default.
- W3015085031 cites W2736734076 @default.
- W3015085031 cites W2766238281 @default.
- W3015085031 cites W2766496462 @default.
- W3015085031 cites W2766511823 @default.
- W3015085031 cites W2767530106 @default.
- W3015085031 cites W2790796695 @default.
- W3015085031 cites W2791007679 @default.
- W3015085031 cites W2791313011 @default.
- W3015085031 cites W2795694185 @default.
- W3015085031 cites W2806627963 @default.
- W3015085031 cites W2806729993 @default.
- W3015085031 cites W2885268053 @default.
- W3015085031 cites W2902621796 @default.
- W3015085031 cites W2914094836 @default.
- W3015085031 cites W2922633580 @default.
- W3015085031 cites W2947197672 @default.
- W3015085031 cites W2955284636 @default.
- W3015085031 cites W2955287027 @default.
- W3015085031 cites W2967707081 @default.
- W3015085031 cites W2984111143 @default.
- W3015085031 cites W828564461 @default.
- W3015085031 doi "https://doi.org/10.1016/j.scitotenv.2020.138342" @default.
- W3015085031 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32464745" @default.
- W3015085031 hasPublicationYear "2020" @default.
- W3015085031 type Work @default.
- W3015085031 sameAs 3015085031 @default.
- W3015085031 citedByCount "10" @default.
- W3015085031 countsByYear W30150850312021 @default.
- W3015085031 countsByYear W30150850312022 @default.
- W3015085031 countsByYear W30150850312023 @default.
- W3015085031 crossrefType "journal-article" @default.