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  • 1
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Theoretical and Applied Climatology Vol. 151, No. 1-2 ( 2023-01), p. 915-934
    In: Theoretical and Applied Climatology, Springer Science and Business Media LLC, Vol. 151, No. 1-2 ( 2023-01), p. 915-934
    Type of Medium: Online Resource
    ISSN: 0177-798X , 1434-4483
    RVK:
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1463177-5
    detail.hit.zdb_id: 405799-5
    SSG: 14
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  • 2
    In: Ecology, Wiley, Vol. 102, No. 12 ( 2021-12)
    Abstract: Satellite‐derived normalized difference vegetation index (NDVI) data are increasingly relied on to reveal the growth responses of vegetation to climate change, yet the vegetation growth tracking accuracy of these data remains unclear due to a lack of long‐term field data. Here, we adopted a unique field‐measured seasonal aboveground biomass dataset from 1982–2014 to assess the potential of using satellite‐derived NDVI data to match field data in regard to the interannual variability in seasonal vegetation growth in a Tibetan alpine grassland. We revealed that Global Inventory Monitoring and Modeling System (GIMMS) NDVI data captured the advancement of field‐measured vegetation growth throughout the entire study period but not from 2000–2014, while MODIS NDVI data still observed this advancing trend after 2000 to a limited extent. However, satellite‐derived NDVI data consistently underestimated the advancement degree of field‐measured vegetation growth, regardless of whether GIMMS or MODIS NDVI data were considered. We tentatively attribute this underestimation to an increased ratio of grass biomass to forb biomass, which could delay the advancement of NDVI development but not affect that of field‐measured biomass development. Our results suggest that satellite‐derived NDVI data may miss critical responses of vegetation growth to global climate change, potentially due to long‐term shifts in plant community composition.
    Type of Medium: Online Resource
    ISSN: 0012-9658 , 1939-9170
    URL: Issue
    RVK:
    Language: English
    Publisher: Wiley
    Publication Date: 2021
    detail.hit.zdb_id: 1797-8
    detail.hit.zdb_id: 2010140-5
    SSG: 12
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  • 3
    In: Remote Sensing, MDPI AG, Vol. 13, No. 15 ( 2021-07-22), p. 2875-
    Abstract: Quantifying the spatial, seasonal (phenological), and inter-annual variations of gross primary productivity (GPP) in the Arctic is critical for comprehending the terrestrial carbon cycle and its feedback to climate warming in this region. Here, we evaluated the accuracy of the MOD17A2H GPP product using the FLUXNET 2015 dataset in the Arctic, then explored the spatial patterns, seasonal variations, and interannual trends of GPP, and investigated the dependence of the spatiotemporal variations in GPP on land cover types, latitude, and elevation from 2001 to 2019. The results showed that MOD17A2H was consistent with in situ measurements (R = 0.8, RMSE = 1.26 g C m−2 d−1). The functional phenology was also captured by the MOD17A2H product (R = 0.62, RMSE = 9 days) in the Arctic. The spatial variation of the seasonal magnitude of GPP and its interannual trends is partly related to land cover types, peaking in forests and lowest in grasslands. The interannual trend of GPP decreased as the latitude and elevation increased, except for the latitude between 62°~66° N and elevation below 700 m. Our study not only revealed the variation of GPP in the Arctic but also helped to understand the carbon cycle over this region.
    Type of Medium: Online Resource
    ISSN: 2072-4292
    Language: English
    Publisher: MDPI AG
    Publication Date: 2021
    detail.hit.zdb_id: 2513863-7
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  • 4
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2021
    In:  Journal of Algebraic Combinatorics Vol. 53, No. 3 ( 2021-05), p. 743-754
    In: Journal of Algebraic Combinatorics, Springer Science and Business Media LLC, Vol. 53, No. 3 ( 2021-05), p. 743-754
    Type of Medium: Online Resource
    ISSN: 0925-9899 , 1572-9192
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 1479499-8
    detail.hit.zdb_id: 2219975-5
    SSG: 17,1
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  • 5
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Applicable Algebra in Engineering, Communication and Computing
    In: Applicable Algebra in Engineering, Communication and Computing, Springer Science and Business Media LLC
    Type of Medium: Online Resource
    ISSN: 0938-1279 , 1432-0622
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 1458434-7
    detail.hit.zdb_id: 1051032-1
    SSG: 11
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  • 6
    Online Resource
    Online Resource
    IOP Publishing ; 2019
    In:  Journal of Physics: Conference Series Vol. 1237, No. 2 ( 2019-06-01), p. 022040-
    In: Journal of Physics: Conference Series, IOP Publishing, Vol. 1237, No. 2 ( 2019-06-01), p. 022040-
    Abstract: Graphs associated with groups and other algebraic structures have been actively investigated, since they have valuable applications in data mining. For a finite group G, let Γ G be the graph with the non-identity elements of G as the vertex set, and two vertices are adjacent if they respectively lie in two conjugate proper subgroups of G. Γ G is called the generalized power graph with respect to G. This paper explores how the graph theoretical properties of Γ G can affect on the group theoretical properties of G.
    Type of Medium: Online Resource
    ISSN: 1742-6588 , 1742-6596
    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2019
    detail.hit.zdb_id: 2166409-2
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  • 7
    Online Resource
    Online Resource
    World Scientific Pub Co Pte Ltd ; 2020
    In:  Journal of Algebra and Its Applications Vol. 19, No. 01 ( 2020-01), p. 2050020-
    In: Journal of Algebra and Its Applications, World Scientific Pub Co Pte Ltd, Vol. 19, No. 01 ( 2020-01), p. 2050020-
    Abstract: The enhanced power graph of a finite group [Formula: see text] is the graph whose vertex set is [Formula: see text] , and two distinct vertices are adjacent if they generate a cyclic subgroup of [Formula: see text]. In this paper, we establish an explicit formula for the metric dimension of an enhanced power graph. As an application, we compute the metric dimension of the enhanced power graph of an elementary abelian [Formula: see text] -group, a dihedral group and a generalized quaternion group.
    Type of Medium: Online Resource
    ISSN: 0219-4988 , 1793-6829
    Language: English
    Publisher: World Scientific Pub Co Pte Ltd
    Publication Date: 2020
    SSG: 17,1
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  • 8
    In: Methods in Ecology and Evolution, Wiley, Vol. 14, No. 8 ( 2023-08), p. 2123-2136
    Abstract: La teledetección busca producir cartografía global de la diversidad funcional de la vegetación (DFV) a diferentes escalas espaciales. La DFV puede cuantificarse mediante métricas que evalúan la disimilaridad de datos de campo o de teledetección. Sin embargo, su comparación sufre de la falta de métodos de normalización que (1) corrijan las diferencias en el número y la correlación de aspectos funcionales o variables espectrales y (2) no requiera comparar todas las muestras disponibles para determinar la disimilaridad máxima (lo que no es plausible en teledetección). Proponemos una Normalización Generalizable (NG) basada en la disimilaridad máxima potencial para aspectos funcionales y datos espectrales, y la comparamos con métodos más tradicionales (como la máxima disimilaridad del conjunto de datos). Para ello, simulamos comunidades vegetales con modelos de transferencia radiativa y comparamos las métricas derivadas mediante teledetección a diferentes escalas espaciales (componentes α y β de la diversidad). En concreto, evaluamos la capacidad de los diferentes métodos de normalización (NG, local y ninguno) para proveer estimaciones de DFV comparables entre (1) variables espectrales y aspectos funcionales de las plantas, y (2) estimaciones de diferentes misiones satelitales. A diferencia de los otros métodos, NG produce estimaciones de los componentes de la diversidad que son directamente comparables entre datos de campo y datos satelitales de misiones con diferente configuración espectral, eliminando el efecto de las diferencias en el número de aspectos o bandas espectrales y la máxima disimilaridad entre conjuntos de datos. Por tanto, NG posibilita analizar separadamente imágenes de diferentes sensores para producir cartografías globales comparables. Consideramos que la NG es necesaria para validar métodos de teledetección y desarrollar mapas interpretables de DFV combinando diferentes misiones de teledetección.
    Type of Medium: Online Resource
    ISSN: 2041-210X , 2041-210X
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2528492-7
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  • 9
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2017
    In:  Journal of Arid Land Vol. 9, No. 2 ( 2017-4), p. 313-317
    In: Journal of Arid Land, Springer Science and Business Media LLC, Vol. 9, No. 2 ( 2017-4), p. 313-317
    Type of Medium: Online Resource
    ISSN: 1674-6767 , 2194-7783
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2017
    detail.hit.zdb_id: 2630104-0
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  • 10
    In: WIREs Water, Wiley, Vol. 7, No. 6 ( 2020-11)
    Abstract: Projected increases in temporal precipitation variability, including intra‐annual and interannual variability, will likely have important impacts on terrestrial ecosystem productivity. The direction and magnitude of these impacts and how they vary across biomes, however, remain largely uncertain. Here, we review published literature that investigated the effect of different characteristics of temporal precipitation variability on vegetation productivity. We first reviewed commonly used methods, including manipulation experiments, process‐based modeling, and data‐driven analysis, and further discussed their strengths and limitations. Then, we summarized state‐of‐the‐art research on this topic by categorizing the results based on the characteristics of temporal precipitation variability. Given the same amount of growing season precipitation, a more extreme precipitation regime, characterized as fewer but larger precipitation events, tends to have a negative impact on vegetation productivity of most ecosystems except xeric grasslands and wet‐cold forests. Precipitation in the early growing season was found to be particularly important to vegetation productivity. Greater interannual precipitation variability tends to decrease vegetation productivity, but the reported patterns are complex, as both concave‐up and concave‐down precipitation‐productivity relations were found. Despite the progress made so far, critical challenges and knowledge gaps remain, such as the global‐scale impacts across different biomes, the role of biological adaption, and the contribution of individual precipitation events. Future research needs to combine manipulation experiments across a broad spectrum of ecosystem types and environmental gradients with model‐data integration strategies to disentangle the interactions between abiotic and biotic factors controlling vegetation responses to precipitation variability. This article is categorized under: Science of Water 〉  Hydrological Processes Water and Life  〉  Nature of Freshwater Ecosystems
    Type of Medium: Online Resource
    ISSN: 2049-1948 , 2049-1948
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2020
    detail.hit.zdb_id: 2751191-1
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