Elevation Dependence of the Impact of Global Warming on Rainfall Variations in a Tropical Island

Tanteliniaina, Mirindra Finaritra Rabezanahary; Chen, Jia; Adyel, Tanveer M.; Zhai, Jun

doi:10.3390/w12123582

Cited by 8 publications

(3 citation statements)

References 61 publications

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“…The southwest and the extreme south are classified as semi-arid regions since they receive less than 800 mm of precipitation yearly. On average, temperatures along the coast range from 23 °C to 27 °C, while temperatures in the interior mountains range from 16 °C to 19 °C [ 37 ].…”

Section: Methodsmentioning

confidence: 99%

Response of Ecosystem Services to Land Use Change in Madagascar Island, Africa: A Multi-Scale Perspective

Tiandraza

et al. 2023

IJERPH

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“Land Use and Land Cover Change (LULCC)” is increasingly being affected by ecosystem services value. LULCC patterns have been subjected to significant changes over time, primarily due to an ever-increasing population. It is rare to attempt to analyze the influence of such changes on a large variety of ecosystem benefits in Madagascar island. The economic value of ecosystem services in Madagascar island is evaluated throughout the period from 2000 to 2019. The expansion of the human population affects the changing value of ecosystem services directly. The PROBA-V SR time series 300 m spatial resolution cover of land datasets from the “Climate Change Initiative of the European Space Agency (ESA)” were used to measure the values of ecosystem activities and the changes in those values caused by land use. A value transfer method was used to evaluate the value of ecosystem services to land use changes on Madagascar island. The findings show that from 2000 to 2019, at the annual rate of 2.17 percent, Madagascar island’s ecosystem service value (ESV) grew to 6.99 billion US dollars. The components that greatly contributed to the total change of ESV were waste treatment, genetic resources, food production, and habitat/refugia. These components in 2000 contributed 21.27%, 20.20%, 17.38%, and 13.80% of the total ESV, and 22.55%, 19.76%, 17.29%, and 13.78% of the total ESV in 2019, respectively. Furthermore, it was found that there was a great change in LULCC. From 2000 to 2019, bare land, built-up land, cultivated land, savannah, and wetland increased while other LULCC types decreased. The sensitivity coefficient ranged from 0.649 to 1.000, <1, with forestland registering the highest values. Wetland is in the second position for the most important land cover category in Madagascar, considering the total value of the ecosystem. The value of ecosystem benefits per unit of the land area was higher on cultivated land, despite the relatively low fraction of cultivated land area across these eras. The sensitivity indices of seven land types from 2000 to 2019 were mapped to understand better the geographical distribution patterns of ESV’s “equivalent value coefficient” (VC) across various land uses. It is suggested that the ESV should be included in Madagascar’s government land-use plan to manage it effectively and efficiently with fewer negative effects on the ecosystem.

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Section: Methodsmentioning

confidence: 99%

Response of Ecosystem Services to Land Use Change in Madagascar Island, Africa: A Multi-Scale Perspective

Tiandraza

et al. 2023

IJERPH

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“…Climate change has been documented to play a key role in regulating the global as well as the regional hydrological cycle [4]. Rainfall is one of the major components of the hydrological cycle, and recent research indicates that a change in the global climate disrupts the natural rainfall cycle [5][6][7]. Rainfall provides the necessary understanding to quantify the intensity and severity of different hydrological phenomena, such as floods, droughts, and river discharge, etc.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Long-Term Trends of Rainfall in Perak, Malaysia

Hanif

Mustafa

Liaqat

et al. 2022

Climate

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This study aimed to examine the spatiotemporal seasonal and annual trends of rainfall indices in Perak, Malaysia, during the last 35 years, as any seasonal or spatial variability in rainfall may influence the regional hydrological cycle and water resources. Mann–Kendall and Sequential Mann–Kendall (SMK) tests were used to assess seasonal and annual trends. Precipitation concentration index was used to estimate variations in rainfall concentration, and Theil–Sen’s slope estimator was used to determine the spatial variability of rainfall. It was found that most of the rainfall indices are showing decreasing trends, and it was most prominent for the southwest monsoon season with a decreasing rate of 2.20 mm/year. The long-term trends for seasonal rainfall showed that rainfall declined by 0.29 mm/year during the southwest monsoon. In contrast, the northeast and the inter-monsoon seasons showed slight increases. Rainfall decreased gradually from 1994 to 2008, and the trend became more pronounced in 2008. On a spatial basis, rainfall trends have shifted from the western regions (i.e., −19 mm/year) to the southeastern regions (i.e., 10 mm/year). Overall, slightly decreasing trends in rainfall were observed in Perak Malaysia.

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“…Significant temperature rise has been a common experience for several regions of the world; a rise is expected to continue in the future [3][4][5][6]. Regarding climate change at a regional scale, the tropical regions and the Sub-Saharan countries were considered one of the most vulnerable regions due to their weaker economies [7].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Future Impact of Climate Change on the Hydrology of the Mangoky River, Madagascar Using ANN and SWAT

Tanteliniaina

Rahaman²,

Zhai

2021

Water

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The assessment of the impacts of climate change on hydrology is important for better water resources management. However, few studies have been conducted in semi-arid Africa, even less in Madagascar. Here we report, climate-induced future hydrological prediction in Mangoky river, Madagascar using an artificial neural network (ANN) and the soil and water assessment tool (SWAT). The current study downscaled two global climate models on the mid-term, noted the 2040s (2041–2050) and long-term, noted 2090s (2091–2099) under two shared socioeconomic pathways (SSP) scenarios, SSP 3–7.0 and SSP 5–8.5. Statistical indices of both ANN and SWAT showed good performance (R2 > 0.65) of the models. Our results revealed a rise in maximum temperature (4.26–4.69 °C) and minimum temperature (2.74–3.01 °C) in the 2040s and 2090s. Under SSP 3–7.0 and SSP 5–8.5, a decline in the annual precipitation is projected in the 2040s and increased the 2090s. This study found that future precipitation and temperature could significantly decrease annual runoff by 60.59% and 73.77% in the 2040s; and 25.18% and 23.45% in the 2090s under SSP 3–7.0 and SSP 5–8.5, respectively. Our findings could be useful for the adaptation to climate change, managing water resources, and water engineering.

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Elevation Dependence of the Impact of Global Warming on Rainfall Variations in a Tropical Island

Cited by 8 publications

References 61 publications

Response of Ecosystem Services to Land Use Change in Madagascar Island, Africa: A Multi-Scale Perspective

Response of Ecosystem Services to Land Use Change in Madagascar Island, Africa: A Multi-Scale Perspective

Evaluation of Long-Term Trends of Rainfall in Perak, Malaysia

Assessment of the Future Impact of Climate Change on the Hydrology of the Mangoky River, Madagascar Using ANN and SWAT

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