Spatio-temporal analysis of vegetation dynamics as response to climate variability and drought patterns in the semiarid region, Eritrea

Simon Measho, Baozhang Chen, Yongyut Trisurat, Petri Pellikka, Lifeng Guo, Susanee Arunyawat, Venus Tuankrua, Woldeselassie Ogbazghi, Tecle Yemane

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

Kuvaus

There is a growing concern over change in vegetation dynamics and drought patterns with the increasing climate variability and warming trends in Africa, particularly in the semiarid regions of East Africa. Here, several geospatial techniques and datasets were used to analyze the spatio-temporal vegetation dynamics in response to climate (precipitation and temperature) and drought in Eritrea from 2000 to 2017. A pixel-based trend analysis was performed, and a Pearson correlation coefficient was computed between vegetation indices and climate variables. In addition, vegetation condition index (VCI) and standard precipitation index (SPI) classifications were used to assess drought patterns in the country. The results demonstrated that there was a decreasing NDVI (Normalized Difference Vegetation Index) slope at both annual and seasonal time scales. In the study area, 57.1% of the pixels showed a decreasing annual NDVI trend, while the significance was higher in South-Western Eritrea. In most of the agro-ecological zones, the shrublands and croplands showed decreasing NDVI trends. About 87.16% of the study area had a positive correlation between growing season NDVI and precipitation (39.34%, p < 0.05). The Gash Barka region of the country showed the strongest and most significant correlations between NDVI and precipitation values. The specific drought assessments based on VCI and SPI summarized that Eritrea had been exposed to recurrent droughts of moderate to extreme conditions during the last 18 years. Based on the correlation analysis and drought patterns, this study confirms that low precipitation was mainly attributed to the slowly declining vegetation trends and increased drought conditions in the semi-arid region. Therefore, immediate action is needed to minimize the negative impact of climate variability and increasing aridity in vegetation and ecosystem services.
Alkuperäiskielisuomi
LehtiRemote Sensing
Vuosikerta11
Numero6
Sivumäärä23
ISSN2072-4292
DOI - pysyväislinkit
TilaJulkaistu - 26 maaliskuuta 2019
OKM-julkaisutyyppiA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä, vertaisarvioitu

Tieteenalat

  • 1172 Ympäristötiede

Lainaa tätä

Measho, Simon ; Chen, Baozhang ; Trisurat, Yongyut ; Pellikka, Petri ; Guo, Lifeng ; Arunyawat, Susanee ; Tuankrua, Venus ; Ogbazghi, Woldeselassie ; Yemane, Tecle. / Spatio-temporal analysis of vegetation dynamics as response to climate variability and drought patterns in the semiarid region, Eritrea. Julkaisussa: Remote Sensing. 2019 ; Vuosikerta 11, Nro 6.
@article{a1d772a0cb3e41d0947dbe228d01ab51,
title = "Spatio-temporal analysis of vegetation dynamics as response to climate variability and drought patterns in the semiarid region, Eritrea",
abstract = "There is a growing concern over change in vegetation dynamics and drought patterns with the increasing climate variability and warming trends in Africa, particularly in the semiarid regions of East Africa. Here, several geospatial techniques and datasets were used to analyze the spatio-temporal vegetation dynamics in response to climate (precipitation and temperature) and drought in Eritrea from 2000 to 2017. A pixel-based trend analysis was performed, and a Pearson correlation coefficient was computed between vegetation indices and climate variables. In addition, vegetation condition index (VCI) and standard precipitation index (SPI) classifications were used to assess drought patterns in the country. The results demonstrated that there was a decreasing NDVI (Normalized Difference Vegetation Index) slope at both annual and seasonal time scales. In the study area, 57.1{\%} of the pixels showed a decreasing annual NDVI trend, while the significance was higher in South-Western Eritrea. In most of the agro-ecological zones, the shrublands and croplands showed decreasing NDVI trends. About 87.16{\%} of the study area had a positive correlation between growing season NDVI and precipitation (39.34{\%}, p < 0.05). The Gash Barka region of the country showed the strongest and most significant correlations between NDVI and precipitation values. The specific drought assessments based on VCI and SPI summarized that Eritrea had been exposed to recurrent droughts of moderate to extreme conditions during the last 18 years. Based on the correlation analysis and drought patterns, this study confirms that low precipitation was mainly attributed to the slowly declining vegetation trends and increased drought conditions in the semi-arid region. Therefore, immediate action is needed to minimize the negative impact of climate variability and increasing aridity in vegetation and ecosystem services.",
keywords = "1172 Ymp{\"a}rist{\"o}tiede",
author = "Simon Measho and Baozhang Chen and Yongyut Trisurat and Petri Pellikka and Lifeng Guo and Susanee Arunyawat and Venus Tuankrua and Woldeselassie Ogbazghi and Tecle Yemane",
year = "2019",
month = "3",
day = "26",
doi = "10.3390/rs11060724",
language = "suomi",
volume = "11",
journal = "Remote Sensing",
issn = "2072-4292",
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Spatio-temporal analysis of vegetation dynamics as response to climate variability and drought patterns in the semiarid region, Eritrea. / Measho, Simon; Chen, Baozhang; Trisurat, Yongyut; Pellikka, Petri; Guo, Lifeng; Arunyawat, Susanee; Tuankrua, Venus; Ogbazghi, Woldeselassie; Yemane, Tecle.

julkaisussa: Remote Sensing, Vuosikerta 11, Nro 6, 26.03.2019.

Tutkimustuotos: ArtikkelijulkaisuArtikkeliTieteellinenvertaisarvioitu

TY - JOUR

T1 - Spatio-temporal analysis of vegetation dynamics as response to climate variability and drought patterns in the semiarid region, Eritrea

AU - Measho, Simon

AU - Chen, Baozhang

AU - Trisurat, Yongyut

AU - Pellikka, Petri

AU - Guo, Lifeng

AU - Arunyawat, Susanee

AU - Tuankrua, Venus

AU - Ogbazghi, Woldeselassie

AU - Yemane, Tecle

PY - 2019/3/26

Y1 - 2019/3/26

N2 - There is a growing concern over change in vegetation dynamics and drought patterns with the increasing climate variability and warming trends in Africa, particularly in the semiarid regions of East Africa. Here, several geospatial techniques and datasets were used to analyze the spatio-temporal vegetation dynamics in response to climate (precipitation and temperature) and drought in Eritrea from 2000 to 2017. A pixel-based trend analysis was performed, and a Pearson correlation coefficient was computed between vegetation indices and climate variables. In addition, vegetation condition index (VCI) and standard precipitation index (SPI) classifications were used to assess drought patterns in the country. The results demonstrated that there was a decreasing NDVI (Normalized Difference Vegetation Index) slope at both annual and seasonal time scales. In the study area, 57.1% of the pixels showed a decreasing annual NDVI trend, while the significance was higher in South-Western Eritrea. In most of the agro-ecological zones, the shrublands and croplands showed decreasing NDVI trends. About 87.16% of the study area had a positive correlation between growing season NDVI and precipitation (39.34%, p < 0.05). The Gash Barka region of the country showed the strongest and most significant correlations between NDVI and precipitation values. The specific drought assessments based on VCI and SPI summarized that Eritrea had been exposed to recurrent droughts of moderate to extreme conditions during the last 18 years. Based on the correlation analysis and drought patterns, this study confirms that low precipitation was mainly attributed to the slowly declining vegetation trends and increased drought conditions in the semi-arid region. Therefore, immediate action is needed to minimize the negative impact of climate variability and increasing aridity in vegetation and ecosystem services.

AB - There is a growing concern over change in vegetation dynamics and drought patterns with the increasing climate variability and warming trends in Africa, particularly in the semiarid regions of East Africa. Here, several geospatial techniques and datasets were used to analyze the spatio-temporal vegetation dynamics in response to climate (precipitation and temperature) and drought in Eritrea from 2000 to 2017. A pixel-based trend analysis was performed, and a Pearson correlation coefficient was computed between vegetation indices and climate variables. In addition, vegetation condition index (VCI) and standard precipitation index (SPI) classifications were used to assess drought patterns in the country. The results demonstrated that there was a decreasing NDVI (Normalized Difference Vegetation Index) slope at both annual and seasonal time scales. In the study area, 57.1% of the pixels showed a decreasing annual NDVI trend, while the significance was higher in South-Western Eritrea. In most of the agro-ecological zones, the shrublands and croplands showed decreasing NDVI trends. About 87.16% of the study area had a positive correlation between growing season NDVI and precipitation (39.34%, p < 0.05). The Gash Barka region of the country showed the strongest and most significant correlations between NDVI and precipitation values. The specific drought assessments based on VCI and SPI summarized that Eritrea had been exposed to recurrent droughts of moderate to extreme conditions during the last 18 years. Based on the correlation analysis and drought patterns, this study confirms that low precipitation was mainly attributed to the slowly declining vegetation trends and increased drought conditions in the semi-arid region. Therefore, immediate action is needed to minimize the negative impact of climate variability and increasing aridity in vegetation and ecosystem services.

KW - 1172 Ympäristötiede

U2 - 10.3390/rs11060724

DO - 10.3390/rs11060724

M3 - Artikkeli

VL - 11

JO - Remote Sensing

JF - Remote Sensing

SN - 2072-4292

IS - 6

ER -