scholarly journals Recurrence plots for quantifying the vegetation indices dynamics in a semi-arid grassland

Geoderma ◽  
2022 ◽  
Vol 406 ◽  
pp. 115488
Author(s):  
Andrés F. Almeida-Ñauñay ◽  
Rosa M. Benito ◽  
Miguel Quemada ◽  
Juan C. Losada ◽  
Ana M. Tarquis
Keyword(s):  
Vegetation Indices ◽  
Recurrence Plots ◽  
Semi Arid

scholarly journals Spatio-Temporal Response of Vegetation Indices to Rainfall and Temperature in A Semiarid Region

2020 ◽  
Vol 12 (5) ◽  
pp. 1939 ◽  
Author(s):  
Edith Olmos-Trujillo ◽  
Julián González-Trinidad ◽  
Hugo Júnez-Ferreira ◽  
Anuard Pacheco-Guerrero ◽  
Carlos Bautista-Capetillo ◽  
...  
Keyword(s):  
Arid Region ◽  
Climatic Factors ◽  
Time Lag ◽  
Vegetation Indices ◽  
Climatic Variables ◽  
Semiarid Region ◽  
Linear Regression Models ◽  
Spatio Temporal ◽  
Semi Arid Region ◽  
Semi Arid

In this research, vegetation indices (VIs) were analyzed as indicators of the spatio-temporal variation of vegetation in a semi-arid region. For a better understanding of this dynamic, interactions between vegetation and climate should be studied more widely. To this end, the following methodology was proposed: (1) acquire the NDVI, EVI, SAVI, MSAVI, and NDMI by classification of vegetation and land cover categories in a monthly period from 2014 to 2018; (2) perform a geostatistical analysis of rainfall and temperature; and (3) assess the application of ordinary and uncertainty least squares linear regression models to experimental data from the response of vegetation indices to climatic variables through the BiDASys (bivariate data analysis system) program. The proposed methodology was tested in a semi-arid region of Zacatecas, Mexico. It was found that besides the high values in the indices that indicate good health, the climatic variables that have an impact on the study area should be considered given the close relationship with the vegetation. A better correlation of the NDMI and EVI with rainfall and temperature was found, and similarly, the relationship between VIs and climatic factors showed a general time lag effect. This methodology can be considered in management and conservation plans of natural ecosystems, in the context of climate change and sustainable development policies.

scholarly journals Evaluating riparian vegetation in semi-arid Mediterranean watercourses in the south-eastern Iberian Peninsula

2000 ◽  
Vol 27 (1) ◽  
pp. 24-35 ◽  
Author(s):  
M. JACOBA SALINAS ◽  
GABRIEL BLANCA ◽  
ANA T. ROMERO
Keyword(s):  
Natural Regeneration ◽  
Riparian Vegetation ◽  
Vegetation Indices ◽  
The State ◽  
Degradation Index ◽  
Percentage Cover ◽  
South Eastern ◽  
Quantitative Studies ◽  
High Degree ◽  
Semi Arid

Riparian vegetation is vulnerable to human impact worldwide, and this is especially so in arid areas, yet there have been few quantitative studies and this is especially so in Spain. The state of the riparian vegetation along three major rivers and seasonal watercourses of south-eastern Spain was evaluated during 1992–93, using the species composition and community structure in watercourses of different sizes under different management. Reaches of the watercourses were classified using five vegetation indices, namely percentage cover, species richness, degree of connectivity between patches of the plant communities, number of exotic species, and evidence of natural regeneration. With the integration of these into one index, the degradation state of the riparian vegetation in each reach was quantified. In addition, types of human activities exerting the greatest impact were noted, and a scale to evaluate the intensity of each impact was established. The indications are that agriculture has very substantially altered the natural vegetation, and this index has served to highlight the most altered zones, and thus those in most urgent need of restoration. Less-degraded zones could serve as models and sources of plant species for future restoration. The degradation index made it possible to establish quickly, easily, and with a high degree of accuracy, the state of conservation of the riparian vegetation in the study area.

Sensitivity of Landsat 7 & 8-derived vegetation indices on semi-arid rangelands of southwestern Uzbekistan

2020 ◽  
pp. 1-16 ◽  
Author(s):  
Toshpulot F. Rajabov ◽  
R. Douglas Ramsey ◽  
Bakhtiyor K. Mardonov ◽  
Muhtor G. Nasirov ◽  
Tashkhanim Rakhimova ◽  
...  
Keyword(s):  
Vegetation Indices ◽  
Landsat 7 ◽  
Arid Rangelands ◽  
Semi Arid

Multi-sensor Analyses of Vegetation Indices in a Semi-arid Environment

2010 ◽  
Vol 47 (2) ◽  
pp. 260-275 ◽  
Author(s):  
Jérôme Théau ◽  
Temuulen T. Sankey ◽  
Keith T. Weber
Keyword(s):  
Vegetation Indices ◽  
Arid Environment ◽  
Semi Arid

Delineation of erosion classes in semi-arid southern African grasslands using vegetation indices from optical remote sensing data

2003 ◽  
Vol 17 (5) ◽  
pp. 917-928 ◽  
Author(s):  
Volker Hochschild ◽  
Michael Märker ◽  
Giuliano Rodolfi ◽  
Helmut Staudenrausch
Keyword(s):  
Remote Sensing ◽  
Vegetation Indices ◽  
Remote Sensing Data ◽  
Optical Remote Sensing ◽  
Sensing Data ◽  
Semi Arid

scholarly journals The Vegetation–Climate System Complexity through Recurrence Analysis

Entropy ◽  
2021 ◽  
Vol 23 (5) ◽  
pp. 559
Author(s):  
Andrés F. Almeida-Ñauñay ◽  
Rosa María Benito ◽  
Miguel Quemada ◽  
Juan Carlos Losada ◽  
Ana M. Tarquis
Keyword(s):  
Cross Correlation ◽  
Temporal Dynamics ◽  
Vegetation Indices ◽  
Climatic Variable ◽  
Recurrence Plots ◽  
Short Term ◽  
Temperature And Precipitation ◽  
Cross Correlation Analysis ◽  
Mediterranean Grasslands ◽  
Cross Correlations

Multiple studies revealed that pasture grasslands are a time-varying complex ecological system. Climate variables regulate vegetation growing, being precipitation and temperature the most critical driver factors. This work aims to assess the response of two different Vegetation Indices (VIs) to the temporal dynamics of temperature and precipitation in a semiarid area. Two Mediterranean grasslands zones situated in the center of Spain were selected to accomplish this goal. Correlations and cross-correlations between VI and each climatic variable were computed. Different lagged responses of each VIs series were detected, varying in zones, the year’s season, and the climatic variable. Recurrence Plots (RPs) and Cross Recurrence Plots (CRPs) analyses were applied to characterise and quantify the system’s complexity showed in the cross-correlation analysis. RPs pointed out that short-term predictability and high dimensionality of VIs series, as well as precipitation, characterised this dynamic. Meanwhile, temperature showed a more regular pattern and lower dimensionality. CRPs revealed that precipitation was a critical variable to distinguish between zones due to their complex pattern and influence on the soil’s water balance that the VI reflects. Overall, we prove RP and CRP’s potential as adequate tools for analysing vegetation dynamics characterised by complexity.

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