Dynamics of Land Cover Changes and Delineation of Groundwater Recharge Potential Sites in the Aguanaval Aquifer, Zacatecas, Mexico

González-Trinidad, J

doi:10.15666/aeer/1503_387402

Cited by 7 publications

(7 citation statements)

References 30 publications

(31 reference statements)

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“…The classification accuracy was acceptable, similar to investigations carried out with comparable methodology [36], and the Kappa coefficient was 90.33%, which indicates a precise classification. The behavior patterns of the VIs in the forests respond to summer rains, where the highest values were observed and that correspond to the growing season, NDVI, SAVI, MSAVI, and EVI increase appreciably during the beginning and the end of the season of growth [50].…”

Section: Discussionsupporting

confidence: 78%

“…It was conducted by creating confusion matrices between the land cover maps and the test data, calculating assessment parameters, such as overall classification accuracy (OCA), producer's accuracy (PA), user's accuracy (UA), and overall kappa coefficient (OKC). The OKC is a measure of overall statistical agreement of an error matrix, which takes non-diagonal elements into account [36]. The Kappa coefficient is calculated from Equation (1) [37]: where N is the total number of samples,…”

Section: Image Classification and Accuracy Assessmentmentioning

confidence: 99%

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

et al. 2020

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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.

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Section: Discussionsupporting

confidence: 78%

Section: Image Classification and Accuracy Assessmentmentioning

confidence: 99%

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

et al. 2020

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“…The average annual temperature is 17°C. Average annual precipitation is approximately 510 mm [22,23]. Zacatecas is divided into 58 municipalities.…”

Section: Study Areamentioning

confidence: 99%

An ethnobotanical study of medicinal plants used in Zacatecas state, Mexico

et al. 2018

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Despite the fact that Mexico has vast biocultural biodiversity, there are numerous regions where the traditional medicinal use of plants has not yet been studied. We aimed to document, analyze quantitatively, and preserve medicinal plant knowledge among local people living in over 40 communities in the state of Zacatecas. Ethnobotanical information was collected by semistructured interviews with 132 informants. Data were analyzed using standard quantitative indices such as relative frequency of citation, family importance value, cultural importance index, and informant consensus factor. We recorded 168 medicinal plant taxa belonging to 151 genera and 69 botanical families and used to treat 99 health disorders. The most medicinally important plant families were Asteraceae (20 species), followed by Fabaceae and Lamiaceae (12 species) and Cactaceae (five species). The most culturally important species was Matricaria chamomilla L., mentioned 140 times, followed by Arnica montana L. (62 times) and Artemisia ludoviciana Nutt (48 times). The highest consensus for use was for diseases of the reproductive system. The type of disorder for which there was the highest number of references for use (389; 25% of all uses) and plant species (67) were diseases of the digestive and gastrointestinal system. The present study represents the first quantitative medical-ethnobotanical documentation and analysis of the traditional use of medicinal plants in Zacatecas state. Despite the semiarid climate, this region is botanically highly diverse, and its flora have versatile medicinal uses.

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“…Land cover change research has an important role in understanding the intensity and dynamics of real global processes [3][4][5][6][7]. The Land-Cover and Land-Use Change (LCLUC) Program launched by the National Aeronautics and Space Administration (NASA) is studying natural and human-induced changes of the vegetation of the Earth and consequences of environment transformation processes and attempts to forecast natural disasters considering the Earth as a single complete system, with the help of satellite images, using the tools of NASA and combining them with laboratory and modeling work [8].…”

Section: Introductionmentioning

confidence: 99%

Introductory Chapter: Evaluation Methods of Ecosystem Services and Their Scientific and Societal Importance in Service of Solving the Global Problems of the Humankind

Hufnágel¹,

Mics²,

Homoródi³

2018

Ecosystem Services and Global Ecology

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Dynamics of Land Cover Changes and Delineation of Groundwater Recharge Potential Sites in the Aguanaval Aquifer, Zacatecas, Mexico

Abstract: Zacatecas, Av. Ramón López Velarde No. 801, Zacatecas, Zacatecas, C.P. 98000, México (tel: + 492-924-2432; fax: +492-925-6690 ext.1613; e-mail: jgonza@uaz.edu.mx; hejunez@hotmail.com; anuard.pacheco@uaz.edu.mx; editholmostru@gmail.com; baucap@uaz.edu

Cited by 7 publications

References 30 publications

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

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

An ethnobotanical study of medicinal plants used in Zacatecas state, Mexico

Introductory Chapter: Evaluation Methods of Ecosystem Services and Their Scientific and Societal Importance in Service of Solving the Global Problems of the Humankind

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