Relationship of NDVI and oak (Quercus) pollen including a predictive model in the SW Mediterranean region

González-Naharro, Rocío; Quirós, Elia; Fernández-Rodríguez, Santiago; Silva-Palacios, Inmaculada; Maya‐Manzano, José María; Pecero-Casimiro, Raúl; Monroy-Colín, Alejandro; Gonzalo-Garijo, Ángela

doi:10.1016/j.scitotenv.2019.04.213

Cited by 12 publications

(4 citation statements)

References 84 publications

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“…Phenological observations of anemophilous species are considered a key factor in understanding aerobiological pollen patterns, including sources, transport, and deposition [50,51]. Field data confirmed that the main source of the Castanea pollen detected in the city was the Valdejetas area.…”

Section: Discussionmentioning

confidence: 82%

Atmospheric Pathways and Distance Range Analysis of Castanea Pollen Transport in Southern Spain

López-Orozco

Hernández-Ceballos

Galán

et al. 2020

Forests

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The sweet chestnut (Castanea sativa Mill.) is the only native species of this genus in Europe, where it faces various threats that are causing a severe decrease in populations, with the resulting loss of genetic diversity. In the Iberian Peninsula, it is of high economic and ecological importance, being well represented, especially in northern areas, whilst it is limited to isolated populations in medium-range mountains in southern Spain (Andalusia region). Taking advantage of this fragmented distribution, this study analyzes the dynamics of atmospheric transport of Castanea pollen through Andalusia region in order to obtain a better understanding of the pollination pathways as a key aspect of the floral biology of this partially anemophilous species. The aerobiological characteristics of this species are also of special interest since its pollen has been recognized as allergenic. Pollen transport pathways were studied by applying back-trajectories analysis together with aerobiological, phenological, land cover, and meteorological data. The results reveal that airborne Castanea pollen concentrations recorded in the city of Cordoba, in the center of Andalusia region, reach medium- and even long-range distances. The backward-trajectory analysis indicates that most of the pollen data detected outside the Castanea flowering season were related to westerly slow and easterly airflows. Furthermore, some of the case studies analyzed indicate the presence of southerly airflow patterns, which could influence medium- and long-range transport events from chestnut populations further south, even from those located in north African mountains. The integrated analysis of the results offers us better knowledge of the cross-pollination pathways of this endangered species, which help us to understand its genetic flows, as a basis for designing conservation strategies for this highly fragmented species in southern Spain.

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Section: Discussionmentioning

confidence: 82%

Atmospheric Pathways and Distance Range Analysis of Castanea Pollen Transport in Southern Spain

López-Orozco

Hernández-Ceballos

Galán

et al. 2020

Forests

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“…The NDVI shows a linear relationship with FVC and is sensitive to vegetation growth and spatial distribution [22,36], so it is a common vegetation index in DPMs [18]. The SPOT-VGT NDVI dataset is reliable in monitoring vegetation change [37], and has been proven to show higher FVC levels in desert areas [13]. Therefore, this dataset was employed for the analysis of spatiotemporal variation patterns of FVC on the QTP during 1998-2018 in this study.…”

Section: Study Areamentioning

confidence: 99%

“…The raw dataset (with a 1 km spatial resolution and a 10-day temporal resolution) (http://www.vito-eodata.be (accessed on 10 May 2022)) was preprocessed at the Flemish Institute for Technological Research (VITO) with atmospheric correction, geometric correction, and cloud removal [37]. The compound dataset for 10 days was acquired by using the maximum value composite (MVC) approach [29].…”

Section: Study Areamentioning

confidence: 99%

Spatiotemporal Variations in Fractional Vegetation Cover and Their Responses to Climatic Changes on the Qinghai–Tibet Plateau

et al. 2023

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The alpine vegetation of the Qinghai–Tibet Plateau (QTP) is extremely vulnerable and sensitive to climatic fluctuations, making it an ideal area to study the potential impacts of climate on vegetation dynamics. Fractional vegetation cover (FVC) is regarded as one of the key indicators in monitoring semiarid and arid ecosystems due to its sensitive responses to vegetation behavior under climatic changes. Although many studies have analyzed the responses of vegetation on the QTP to climatic change, limited information is available on the influence of climatic variables on FVC changes in this area. In this study, we used satellite images and meteorological data to investigate the spatiotemporal variations of FVC during the growing season (FVCGS) during 1998–2018 and evaluated the responses to changes in climatic variables. Results showed that FVCGS displayed an overall fluctuating rise of 0.01/10 a (p < 0.01) over the study period. The FVCGS variation was spatially heterogeneous, with a general trend of greening in the northern and browning in the southern QTP. Obvious correlations were observed between the average FVC, average temperature, and total precipitation of the growing season, with precipitation being the primary controlling factor for vegetation growth. Some regions in the northwestern and northeastern QTP showed greening trends due to the positive influence of precipitation. Some areas in the southwestern QTP experienced browning trends due to water shortages caused, probably, by the weakening of the Indian monsoon. Browning in the southeastern parts was likely caused by drought and permafrost degradation resulting from high temperature. The inconsistent trend of vegetation change on the QTP is relatively high considering the continuous warming and changing atmospheric circulation patterns. FVC in most regions of the QTP has 0–1 month temporal responses to precipitation and temperature. Moreover, the one-month lagged effects of temperature and precipitation had a greater influence on steppe and desert vegetation than on other vegetation types. This research provides new perspectives for understanding the QTP vegetation response to climatic changes and a basis for making reasonable vegetation conservation and management policies.

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“…Different approaches to measuring AOD combined with ground observations have been used to estimate pollen concentrations, generally with limited discriminatory power outside periods of high pollen concentration, but recent work suggests that micropulse lidar may hold more promise (159,160). Indirect methods using vegetation indices such as the normalized difference vegetation index (NDVI), linked with ground observations of plant phenology and aeroallergen concentrations, also hold promise, but challenges remain (161,162). Vegetation indices are less useful for identifying phenophase in evergreen forests and can be less reliable for estimating later-season phenology for grasses and weeds and in areas with dense vegetation (163,164).…”

Section: Satellite Data For Dust Aeroallergens and Specialized Sourcesmentioning

confidence: 99%

Satellite Monitoring for Air Quality and Health

Holloway

Miller

Anenberg

et al. 2021

Annu. Rev. Biomed. Data Sci.

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Data from satellite instruments provide estimates of gas and particle levels relevant to human health, even pollutants invisible to the human eye. However, the successful interpretation of satellite data requires an understanding of how satellites relate to other data sources, as well as factors affecting their application to health challenges. Drawing from the expertise and experience of the 2016–2020 NASA HAQAST (Health and Air Quality Applied Sciences Team), we present a review of satellite data for air quality and health applications. We include a discussion of satellite data for epidemiological studies and health impact assessments, as well as the use of satellite data to evaluate air quality trends, support air quality regulation, characterize smoke from wildfires, and quantify emission sources. The primary advantage of satellite data compared to in situ measurements, e.g., from air quality monitoring stations, is their spatial coverage. Satellite data can reveal where pollution levels are highest around the world, how levels have changed over daily to decadal periods, and where pollutants are transported from urban to global scales. To date, air quality and health applications have primarily utilized satellite observations and satellite-derived products relevant to near-surface particulate matter <2.5 μm in diameter (PM2.5) and nitrogen dioxide (NO2). Health and air quality communities have grown increasingly engaged in the use of satellite data, and this trend is expected to continue. From health researchers to air quality managers, and from global applications to community impacts, satellite data are transforming the way air pollution exposure is evaluated. Expected final online publication date for the Annual Review of Biomedical Data Science, Volume 4 is July 2021. Please see http://www.annualreviews.org/page/journal/pubdates for revised estimates.

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Relationship of NDVI and oak (Quercus) pollen including a predictive model in the SW Mediterranean region

Cited by 12 publications

References 84 publications

Atmospheric Pathways and Distance Range Analysis of Castanea Pollen Transport in Southern Spain

Atmospheric Pathways and Distance Range Analysis of Castanea Pollen Transport in Southern Spain

Spatiotemporal Variations in Fractional Vegetation Cover and Their Responses to Climatic Changes on the Qinghai–Tibet Plateau

Satellite Monitoring for Air Quality and Health

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