Environmental assessment of allergenic risk provoked by airborne grass pollen through forecast model in a Mediterranean region

Fernández-Rodríguez, Santiago; Durán‐Barroso, Pablo; Silva-Palacios, Inmaculada; Molina, Rafael Tormo; Maya‐Manzano, José María; Gonzalo-Garijo, Ángela; Monroy-Colín, Alejandro

doi:10.1016/j.jclepro.2017.11.226

Cited by 11 publications

(2 citation statements)

References 92 publications

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“…different kind of regression, artificial neural networks (Kasprzyk, 2006;Rodriguez et al, 2010). For short-term modelling, the autocorrelation function information of the pollen time series has been reported as the most valuable parameter for forecasting (Fernández-Rodríguez et al, 2018;Matyasovszky and Makra, 2011;Rodriguez-Rajo et al, 2006). In addition, other automated systems based on the input of pollen measurements have been developed (Hidalgo et al, 2002;Turner et al, 2006).…”

Section: Introductionmentioning

confidence: 99%

Spatial interpolation of current airborne pollen concentrations where no monitoring exists

Oteros

Bergmann

Menzel

et al. 2019

Atmospheric Environment

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Section: Introductionmentioning

confidence: 99%

Spatial interpolation of current airborne pollen concentrations where no monitoring exists

Oteros

Bergmann

Menzel

et al. 2019

Atmospheric Environment

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“…In the transitional development period (2017)(2018)(2019)(2020)(2021)(2022), the research on grassland productivity (Petrie et al, 2018;Su et al, 2022), ecological protection (Hu et al, 2021), forage management (Guuroh et al, 2018;Arimitsu et al, 2021;Domiciano et al, 2021), anti-risk countermeasures (Fernández-Rodríguez et al, 2018;Davies et al, 2022), and economic benefits (Bilancia et al, 2020;Euclides et al, 2022) Thematic clustering of grass-livestock interaction research from 2000 to 2022.…”

Section: Strengthening Cross-disciplinary and Cross-regional Research...mentioning

confidence: 99%

Grass-livestock interaction: a critical review of current research progress

Zhu,

Tan,

et al. 2024

Front. Sustain. Food Syst.

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IntroductionGrass-livestock interaction is of great value in maintaining ecological balance, regional economic development, and the sustainability of grassland husbandry, which has gained attention in recent years in both academia and practice, however, study on grass-livestock interaction possesses cognitive bias and gaps.MethodsThis study clarified the latest research progress and development trend in the grass-livestock interaction field by illuminating publication trend, cooperative network, keyword co-occurrence relationship, keyword clustering during 2000 to 2022 based on the Web of Science core database.ResultsThe results indicated that the annual number of publications in the grass-livestock interaction field showed a globally increasing with interdisciplinary and international collaboration, and the United States of America ranked firstly, followed by Brazil, England, Australia, China. Agricultural Research Service, the U.S. Department of Agricultures was the organization with the highest number of publications, and Rangeland Ecology & Management, Agriculture, Ecosystems & Environment, Grass and Forage Science were the top three journals. Furthermore, in terms of the temporal evolution, the research targeting the grass-livestock interaction mainly went through three stages: initial exploration period (2000–2011), to the period of rapid development (2012–2016) to transitional development period (2017–2022), and the notable existing keywords was Management, Livestock, Cattle, Vegetation, Growth, Soil. In terms of the structural composition, four broad divisions including mechanism of human activities, grassland resource monitoring and management, grassland livestock competition/adaptability, grassland land/soil research were identified. The results provide positive and objective insights into that grassland sustainability and grazing control through strengthening cross-disciplinary and cross-regional cooperation, and applying of standard methods based on evaluation system in the grass-livestock interaction field.DiscussionThe overall contribution of the work is provision of novel insight into the intellectual structure and temporal progression of grass-livestock interaction research at a macroscopic scale and the directions in which the field is headed currently.

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