Showing 581 - 600 results of 113,887 for search '"vegetation"', query time: 0.42s Refine Results
  1. 581

    Response of vegetation normalized different vegetation index to different meteorological disaster indexes in karst region of Guangxi, China by Ying Xie, Yanli Chen, Yue Zhang, Mingzhi Li, Min Xie, Weihua Mo

    Published 2023-10-01
    “…The Normalized Differential Vegetation Index (NDVI), as a tool for monitoring vegetation growth, has a strong responsiveness to vegetation and can qualitatively and quantitatively evaluate the vegetation cover and its growth vitality. …”
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    Article
  2. 582

    The challenge of comparing pollen-based quantitative vegetation reconstructions with outputs from vegetation models – a European perspective by A. Dallmeyer, A. Poska, A. Poska, L. Marquer, A. Seim, A. Seim, M.-J. Gaillard

    Published 2023-07-01
    “…<p>We compare Holocene tree cover changes in Europe derived from a transient Earth system model simulation (Max Planck Institute Earth System Model – MPI-ESM1.2, including the land surface and dynamic vegetation model JSBACH) with high-spatial-resolution time slice simulations performed in the dynamic vegetation model LPJ-GUESS (Lund–Potsdam–Jena General Ecosystem Simulator) and pollen-based quantitative reconstructions of tree cover based on the REVEALS (Regional Estimates of Vegetation Abundance from Large Sites) model. …”
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  3. 583
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    Stages of change to increase fruit and vegetable intake and its relationships with fruit and vegetable intake and related psychosocial factors by Wong, Chee Yen, Mohd Shariff, Zalilah, Kandiah, Mirnalini, Mohd Taib, Mohd Nasir

    Published 2014
    “…This study aimed to determine stages of change to increase fruit and vegetable intake and its relationships with fruit and vegetable intake, self-efficacy, perceived benefits and perceived barriers. …”
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  5. 585

    Segmentation of fresh vegetable shoppers by product and store attributes considered for fresh vegetable purchase in Klang Valley, Malaysia by Gindi, Abdullahi Auwal, Abdullah, Amin Mahir, Ismail, Mohd Mansor, Mohd Nawi, Nolila

    Published 2015
    “…This study examined and segmented the fresh vegetable consumers based on the product attributes and store attributes considered by the consumers in their fresh vegetable purchases. …”
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  6. 586

    Determining the impacts of climate change and human activities on vegetation change on the Chinese Loess Plateau considering human-induced vegetation type change and time-lag effects of climate on vegetation growth by Miaomiao Cheng, Zhihui Wang, Shidong Wang, Xinjie Liu, Wenzhe Jiao, Yi Zhang

    Published 2024-12-01
    “…ABSTRACTSince the initiation of the Grain for Green Project (GFGP) in 1999, dramatic change in vegetation status on the Loess Plateau. Spatially, geographical detector was employed to detect dominant variables influencing the spatial arrangement of normalized difference vegetation index (NDVI). …”
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  7. 587
  8. 588

    Investigating soil properties and vegetation parameters in different biochar-amended vegetated soil at large suction for application in bioengineered structures by Rojimul Hussain, K. Ravi

    Published 2022-12-01
    “…Abstract Bioengineered structures, such as landfill cover, vegetated slopes or embankments, green roof and turf are comprised of soil and vegetation where vegetation imparts stability and protection through root reinforcement and hydrologic action. …”
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  9. 589

    Assessment and Mitigation of Heavy Metals Uptake by Edible Vegetables Grown in a Turin Contaminated Soil Used as Vegetable Garden by Elisa Gaggero, Paola Calza, Debora Fabbri, Anna Fusconi, Marco Mucciarelli, Giorgio Bordiglia, Ornella Abollino, Mery Malandrino

    Published 2020-06-01
    “…The subsequent analysis of their aerial part and roots highlighted the absorption of the main potentially toxic elements (PTEs) by the vegetables grown in the contaminated soil, whereas their concentration was lower if cultivated in the comparison soil, which was free of pollutants. …”
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  10. 590
  11. 591

    Conversion of soil water infiltration rates between vegetated and non-vegetated land covers by using the Kostiakov-Lewis model by Nelson Otávio da Motta Vieira, Diego Adania Zanoni, Glauber Altrão Carvalho, Jamil Alexandre Ayach Anache, Paulo Tarso Sanches de Oliveira, Teodorico Alves Sobrinho

    Published 2022-09-01
    “…However, a few works have addressed the relationship between infiltration rates of a plot with and without vegetation cover. Here we investigated the ability to iterate between infiltration rates with and without vegetation cover, seeking to identify potential correlations. …”
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  12. 592
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  14. 594

    Detecting Vegetation Recovery after Fire in A Fire-Frequented Habitat Using Normalized Difference Vegetation Index (NDVI) by Danielle L. Lacouture, Eben N. Broadbent, Raelene M. Crandall

    Published 2020-07-01
    “…In the past, the measurement of vegetation regrowth in fire-frequented systems has been labor-intensive, but with the availability of daily satellite imagery, it should be possible to easily determine vegetation recovery on a small timescale using Normalized Difference Vegetation Index (NDVI) in ecosystems with a sparse overstory. …”
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  15. 595

    Effects of vegetation structure on biomass accumulation in a Balanced Optimality Structure Vegetation Model (BOSVM v1.0) by Z. Yin, S. C. Dekker, B. J. J. M. van den Hurk, H. A. Dijkstra

    Published 2014-05-01
    “…A myriad of interactions exist between vegetation and local climate for arid and semi-arid regions. …”
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    Different vegetal protein hydrolysates distinctively alleviate salinity stress in vegetable crops: A case study on tomato and lettuce by Monica Yorlady Alzate Zuluaga, Sonia Monterisi, Youssef Rouphael, Giuseppe Colla, Luigi Lucini, Stefano Cesco, Youry Pii

    Published 2023-02-01
    “…Hence, this study aimed to evaluate the sensitivity of tomato and lettuce plants grown under high salinity and the possible protective effects of four biostimulants based on vegetal protein hydrolysates. Plants were set in a 2 × 5 factorial experimental design completely randomized with two salt conditions, no salt (0 mM) and high salt (120 mM for tomato or 80 mM for lettuce), and five biostimulant treatments (C: Malvaceae-derived, P: Poaceae-derived, D: Legume-derived commercial ‘Trainer®’, H: Legume-derived commercial ‘Vegamin®’, and Control: distilled water). …”
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