Impacts of Land Use Land Cover Changes and Climate Variability on Water Yield in the Dire and Legedadi Watersheds central Ethiopia

Admasu, Simeneh; Yeshitela, Kumelachew; Argaw, Mekuria

doi:10.1007/s41101-023-00188-x

Cited by 10 publications

(4 citation statements)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the ML regression results, the contribution of land use type transitions to WC ranked fourth from 1980 to 2000 but fell to sixth from 2000 to 2018 and 1980 to 2018. This finding implies that despite the positive shift in land use patterns, its impact on WC weakened over time [59], which seemingly contradicts the findings of Guanyu Jia, who observed a key promotional effect of ecological retirement projects on WC in the YRB from 2000 to 2018 [11]. Our analysis suggests that while land use change exerted some influence on WC, the abrupt alterations in climate and vegetation after 2000 had a more prominent impact.…”

Section: Analysis Of the Abrupt Changes In Water Conservationcontrasting

confidence: 99%

Assessing the Impacts of Climate and Land Use Change on Water Conservation in the Three-River Headstreams Region of China Based on the Integration of the InVEST Model and Machine Learning

Xie,

Peng,

Zhang

et al. 2024

Land

View full text Add to dashboard Cite

The Three-River Headstreams Region (TRHR) serves as the cradle of China’s three major rivers—the Yangtze, Yellow, and Lancang—rendering its water conservation (WC) capacity quintessentially significant for Asian water resource security. This study integrated the InVEST model and random forest model to holistically elucidate the spatiotemporal characteristics and factors influencing WC in the TRHR from 1980 to 2018. The results revealed that the WC growth rate was 5.65 mm/10a in the TRHR during the study period, yet pronounced regional disparities were observed among different basins, especially with the Lancang River Basin (LRB), which exhibited a decrease at a rate of 5.08 mm per decade despite having the highest WC. Through Theil–Sen trend analysis, the Mann–Kendall abrupt change test, and the cumulative deviation method, meteorological, vegetative, and land use abrupt changes in approximately 2000 were identified as the primary drivers for the abrupt surge in WC within the TRHR. Furthermore, precipitation and the aridity index were the core feature variables affecting WC. However, a positive transition in land use patterns post-2000 was also revealed, and its favorable effect on WC was not as significant as the abrupt climatic changes. This study offers new perspectives on managing multidimensional spatiotemporal data and contributes to laying the groundwork for machine learning applications in water conservation. Additionally, it potentially provides useful references for decision-making processes related to ecosystem security.

show abstract

Section: Analysis Of the Abrupt Changes In Water Conservationcontrasting

confidence: 99%

Assessing the Impacts of Climate and Land Use Change on Water Conservation in the Three-River Headstreams Region of China Based on the Integration of the InVEST Model and Machine Learning

Xie,

Peng,

Zhang

et al. 2024

Land

View full text Add to dashboard Cite

show abstract

“…The woreda has bimodal rainfall patterns; the main rainy season is between June and September; the short rainy season is between March and April. The mean annual temperature of the woreda is 15.19 °C and 15.02 °C (Admasu et al, 2023), whereas the mean annual rainfall over 20 years was 1111.6 mm. As of the most recent census in 2007, the woreda's total population was 82 909, with a female-to-male ratio of 1:1.03 (Central Statistical Authority, 2007).…”

Section: Study Area Descriptionmentioning

confidence: 99%

Determinants of climate information service access and use among smallholder farmers in Bereh woreda, Ethiopia

Fikadu,

Damene,

Teklu

2023

Integr Envir Assess & Manag

View full text Add to dashboard Cite

Climate information service (CIS) is a key component of a climate adaptation strategy which is expected to lessen climate risk. Access and uses of CIS among the local community are limited and constrained by various factors and are not supported by empirical research evidence. Therefore, the study analyzed CIS access and use determinants among smallholder farmers in Bereh Woreda. The study applied a cross‐sectional design with a mixed methodological approach. Data were collected through a survey of 219 smallholder farmer households, three focused‐group discussions (FGDs), and six key informant interviews (KII). The collected survey data were analyzed using the Heck‐probit model to determine factors influencing smallholder farmers’ access and use of CIS. The Heck‐probit model results showed that the determinants of CIS access and use had a statistical significance of log‐likelihood at 1% (Wald Chi‐square = 45.2, P = 0.001), indicating a high explanatory power. The selection model revealed that age and off‐farm income significantly reduced the likelihood of accessing CIS, whereas; mobile ownership and male‐headed households increased the likelihood of accessing it. Age, female‐headed households and farm size had decreased the likelihood of using CIS, whereas mixed farming, radio ownership and access to herbicide enhanced the likelihood of utilizing it. This study, therefore, recommends intensive awareness creation and improving the delivery of diverse and reliable CIS to enhance agricultural productivity and smallholder farmers’ resilience to climate change impacts.

show abstract

“…Likewise, access to water is a human right (Portillo et al, 2023). Clean water is an important indicator of ecosystem functioning and is imperative in regard to sustainable development (Admasu et al, 2023;Roziaty et al, 2023). In their study, Wang et al (2019) assert that urbanisation results in a substantial reduction in ecosystem services with respect to providing clean water.…”

Section: Introductionmentioning

confidence: 99%

“…Ecosystem services are essential for equitable and sustainable development (Lossack et al, 2012). Admasu et al (2023) argue that urban growth can reduce the amount of water supply. Land-use change has a considerable impact on the distribution pattern of water availability and rapid urbanisation is a key driver of increased demand for water .…”

Section: Introductionmentioning

confidence: 99%

Analysis of Urbanisation’s Relationship with Clean Water Supply Ecosystem Services in Sukoharjo Regency, Indonesia

Saputra,

Nugraha,

Noviani

2023

For. Geo.

View full text Add to dashboard Cite

The phenomenon of urban population growth is a global concern which will result in a decrease in the value of ecosystem services in an area. Sukoharjo Regency is an area affected by the development of Surakarta City; therefore, rapid growth is taking place. The objective of this study is to investigate the interplay between urbanization, ecosystem services, and the provision of clean water in Sukoharjo Regency in 2022. The methods used in the study were calculating the percentage of the urban population to determine the level of urbanisation, AHP and overlay to ascertain the ecosystem service score, together with cross-tabulation to establish the relationship between these two variables. The result of this study is that the level of urbanisation produces a pattern that districts in the north tend to comprise a higher level. The clean water supply ecosystem services in Sukoharjo Regency obtained results dominated by the low to medium level. The situation regarding the level of urbanisation and ecosystem services in Sukoharjo Regency reveals a relationship where an increase in the level of urbanisation will reduce the value of ecosystem services.

show abstract

Impacts of Land Use Land Cover Changes and Climate Variability on Water Yield in the Dire and Legedadi Watersheds central Ethiopia

Cited by 10 publications

References 43 publications

Assessing the Impacts of Climate and Land Use Change on Water Conservation in the Three-River Headstreams Region of China Based on the Integration of the InVEST Model and Machine Learning

Assessing the Impacts of Climate and Land Use Change on Water Conservation in the Three-River Headstreams Region of China Based on the Integration of the InVEST Model and Machine Learning

Determinants of climate information service access and use among smallholder farmers in Bereh woreda, Ethiopia

Analysis of Urbanisation’s Relationship with Clean Water Supply Ecosystem Services in Sukoharjo Regency, Indonesia

Contact Info

Product

Resources

About