Characterising marshland temporal dynamics using remote sensing: The case of Bolboschoenetum maritimi in Doñana national park

Fernández-Carrillo, Ángel; Rodríguez, Esperanza Sánchez; Rodríguez-Galiano, Víctor

doi:10.1016/j.apgeog.2019.102094

Cited by 3 publications

(4 citation statements)

References 32 publications

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“…In contrast to temporal changes of extreme precipitation events, obvious spatial discrepancies were found among intensity, frequency of extreme precipitation events, and annual total precipitation. Past works found that extreme precipitation events correlate with minimum, mean, and maximum NDVIs in different contexts [21][22][23]. According to our results, both positive and negative correlations could be found between extreme precipitation events and all the three NDVI indices.…”

Section: Discussionsupporting

confidence: 78%

“…The performance can be explained using not only the standard deviation of the NDVIs, but also the correlations between extreme precipitation events and the three NDVI indices. Fernandez-Carrillo et al (2019) pointed out a positive correlation between accumulated rainfall and minimum NDVI in the Donana National Park in the Iberian Peninsula [23]. Furthermore, a negative correlation was found between accumulated rainfall and maximum NDVI as well.…”

Section: Discussionmentioning

confidence: 97%

“…Chamaillé Jammes and Fritz (2009) analyzed the relationships between precipitation and NDVI in eastern and southern African savannas using maximum and minimum NDVIs as proxies [22]. In addition, Fernandez-Carrillo et al (2019) analyzed the correlations between cumulative 16-day rainfall and several indicators such as the minimum and maximum NDVIs [23]. Past studies preliminarily analyzed the relationships between various NDVI-based indices and extreme precipitation events.…”

Section: Introductionmentioning

confidence: 99%

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Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change

Pei

Zhou

Xia

2021

Forests

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Remote sensing has frequently been employed to monitor extreme climatic events, especially droughts, by identifying the anomalies of vegetation activity from the regional to global scale. However, limited research has addressed the performance of remote sensing on detecting extreme precipitation events. By using the Middle and Lower Reaches of the Yangtze River (MLR-YR) in China as an example, this paper examines the application of the satellite-derived normalized difference vegetation index (NDVI) for detecting the change of extreme precipitation events from 1982 to 2012. The performances of three NDVI-based indices, including minimum, mean, and maximum NDVIs, were examined to capture the sensibility of vegetation activity to changes in extreme precipitation events. The results show not only common enhanced trends, but also obvious spatial discrepancies between the intensity and frequency of extreme precipitation events in the MLR-YR. As to its application on terrestrial vegetation, changes in extreme precipitation intensity coincided with that of the vegetation activity, which was represented as the maximum and the minimum NDVIs, especially the maximum NDVI. In addition, similar patterns were found between the standard deviation of the maximum NDVI and the trend of extreme precipitation intensity. Furthermore, the correlation coefficients were relatively greater between the maximum NDVI and extreme precipitation intensity than that of the minimum NDVI. Our results support the hypothesis that maximum NDVI is more suited to capture the response of vegetation activity to extreme precipitation events in the MLR-YR region, in comparison to the other two NDVI indices.

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Section: Discussionsupporting

confidence: 78%

Section: Discussionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

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Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change

Pei

Zhou

Xia

2021

Forests

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“…This has greatly increased since the late 1980s to maintain intensive crops such as cotton, rice and more recently that of red fruits (especially strawberry, [28,29]). The latter is cultivated in greenhouses, the area under plastic in the Doñana area is estimated to be between 4500 and 6000 Ha, accounting for more than 60% of the Spanish strawberry production [30]. In recent years, the authorities have closed down numerous illegal wells built in these plantations and greenhouses, which were drawing water from the aquifer that feeds the natural park.…”

Section: Environmental Issues: Areas Of Studymentioning

confidence: 99%

Diffuse Anthropization Impacts in Vulnerable Protected Areas: Comparative Analysis of the Spatial Correlation between Land Transformation and Ecological Deterioration of Three Wetlands in Spain

García-Ayllón

Radke

2021

IJGI

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The management and conservation of wetlands and vulnerable protected areas of high ecological value dependent on the existence of water is complex and generally depends on the climate and rainfall in semi-arid territories such as southeastern Spain. However, one variable that is not usually considered sufficiently rigorously in this field of research is the environmental impact of the transformation of the surrounding territory due to anthropic diffuse issues. This phenomenon is not easy to appreciate, since it does not necessarily occur in the environment directly closest to protected areas and it is always difficult to measure and analyze. This study proposes an innovative spatiotemporal methodological framework to evaluate all these phenomena of diffuse anthropization whose indirect impacts on protected areas dependent on the existence of water are currently full of unknowns. Using GIS indicators, a geostatistical analysis based on the concept of the area of influence of diffuse anthropization (AIDA) is proposed to assess the spatial correlation between the anthropic transformation of the territory and the degradation of protected areas over time. The proposal has been applied with a comparative approach to three case studies located in Spain between 2000 and 2020, obtaining clarifying results on the existing spatial correlation patterns between both questions.

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Satellite Long-Term Monitoring of Wetland Ecosystem Functioning in Ramsar Sites for Their Sustainable Management

Demarquet,

Rapinel,

Arvor

et al. 2024

Sustainability

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The long-term monitoring of wetland ecosystem functioning is critical because wetlands, which provide multiple services, can be affected by human activities and climate change. The aim of this study was to monitor wetland ecosystem functioning in the long term using the Landsat archive. Four contrasting, Ramsar wetlands were selected in boreal, temperate, arid, and tropical areas. First, the annual sum of the normalized difference vegetation index (NDVI-I) was calculated as an indicator of annual net primary productivity for the period 1984–2021 using the continuous change detection and classification (CCDC) algorithm. Next, the influence of the number of Landsat images and class of land use and land cover (LULC) on the accuracy of the CCDC was investigated. Finally, correlations between annual NDVI-I and climate were analyzed. The results revealed that NDVI-I accuracy was influenced mainly by the LULC class and to a lesser extent by the number of cloud-free Landsat observations. Infra- and inter-site variations in NDVI-I were high and showed an overall increasing trend. NDVI-I was positively correlated with the mean temperature. This study shows that this approach applied in contrasting sites is robust for the long-term monitoring of wetland ecosystem functioning and can be used to improve the implementation of international biodiversity conservation policies.

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Characterising marshland temporal dynamics using remote sensing: The case of Bolboschoenetum maritimi in Doñana national park

Cited by 3 publications

References 32 publications

Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change

Application of Normalized Difference Vegetation Index (NDVI) for the Detection of Extreme Precipitation Change

Diffuse Anthropization Impacts in Vulnerable Protected Areas: Comparative Analysis of the Spatial Correlation between Land Transformation and Ecological Deterioration of Three Wetlands in Spain

Satellite Long-Term Monitoring of Wetland Ecosystem Functioning in Ramsar Sites for Their Sustainable Management

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