Spatiotemporal Variations in Gross Ecosystem Product and Its Relationship with Economic Growth in Ecologically Vulnerable Watershed Areas: A Case Study of Yongding River Basin DOI Open Access

Jingyi Guo,

Lingling Wang

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9383 - 9383

Published: Oct. 29, 2024

Ecosystem service value is crucial for balancing economic growth and ecological preservation in ecologically vulnerable watershed areas. Although Gross Product (GEP) has received significant attention, most existing studies have focused on how to measure it. Few explored spatiotemporal variations GEP land-use changes affect these regarding restoration at the river basin level. Additionally, while many examined relationship between ecosystem growth, there little research components of influence growth. Analyzing structure its could offer new insights into optimizing strategies promoting sustainable development regions. In this study, we used ArcGIS, InVEST, SPSS, Python analyze Yongding River Basin within Beijing–Tianjin–Hebei Economic Region from 1995 2020. Moran’s Index variance decomposition were applied structure. The grey prediction model forecasted trends 2025 2035. random forest was assess changes’ impacts GEP. Paired T-tests compare GDP, a dynamic panel examine factors influenced results show following: (1) Regarding values, accounting indicated that cultural (ECV) regulating (ERV) each contributed about half total provisioning (EPV) showed an upward trend with fluctuations. spatial distribution, I analysis positive correlations EPV ERV. 2035 under current policies, especially ERV ECV. (2) terms changes, land area consistently influential factor across GEP, EPV, Unused identified as (3) Before 2010, larger than differences 2000. From 2010 onwards, GDP surpassed but not statistically significant. Dynamic regression further water conservation significantly boosted whereas purification reduced This study highlights importance integrating ensure sustainability

Language: Английский

Assessing the impacts of forest cover change on carbon stock and soil moisture dynamics using geospatial techniques: a case study of Nensebo forest, Southern Ethiopia DOI Creative Commons
Zenebe Reta Roba, Mitiku Badasa Moisa, Sanju Purohit

et al.

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)

Published: Jan. 14, 2025

Language: Английский

Citations

4
Integrated SSP-RCP Scenarios for Modeling the Impacts of Climate Change and Land Use on Ecosystem Services in East Africa DOI

Edovia Dufatanye Umwali,

Xi Chen, Xuexi Ma

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 504, P. 111092 - 111092

Published: March 24, 2025

Language: Английский

Citations

1
The Golden Afromontane ecosystems at cross-road: Wetland-based upstream-downstream linkage in Genale Dawa River Basin DOI Creative Commons

Habtamu Temesgen,

Haile Ketema,

Gezahegn Beyene Kebede

et al.

Heliyon, Journal Year: 2025, Volume and Issue: 11(2), P. e41658 - e41658

Published: Jan. 1, 2025

Highlights•Significant non-linear land use change was observed in Genale-Dawa River Basin•Ecosystem service significantly reduced the afromontane region•Historical ecology identified ecosystem related previous problems basinAbstractUnderstanding relationship between and cover (LULC) wetland-based services (WESs) is crucial for sustaining wetlands maintaining hydrological connectivity Basin (GDRB). While quantification of LULC has received considerable emphasis, WESs are often overlooked this region. This research aims to analyze estimate potential (ESs) provided by GDRB. Data were collected through field observations, focus group discussions, key informant interviews, with respondents selected using simple random purposive sampling techniques. Landsat images from 2005 2020, along document reviews, utilized generate datasets. A stakeholders' consultation forum expert judgment employed understand historical Results showed that: (1) occurred non-linearly GDRB, agricultural continuously increasing while forestland, woodland, grassland decreased 2020; (2) estimated value (ESV) GDRB approximately US $10,360.28 million $9,033.06 per year indicating a decline 12.81%, resulting total net loss $1,327.22 basin. Although provisioning ESV increased, regulating, supporting, cultural ESVs have experienced significant losses. The increase does not compensate overall Soil compaction upstream part diminished recharge enhanced flooding downstream, jeopardizing sustainable situation placed basin at risk critical crossroads. Notably, landscape now more exposed anthropogenic pressures than past, clear impacts both locally downstream. Therefore, robust law enforcement awareness-raising efforts essential, targeted rehabilitation initiatives GDRB.Graphical abstract

Language: Английский

Citations

0
Urban Expansion-Induced Land Use Land Cover Changes and the Subsequent Changes in Ecosystem Service and Land Surface Temperature in the Central Highland of Ethiopia DOI Creative Commons
Belew Bekele, Wei Wu,

Lemma Tsegaye

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100626 - 100626

Published: Feb. 1, 2025

Language: Английский

Citations

0
Spatiotemporal Variations in Gross Ecosystem Product and Its Relationship with Economic Growth in Ecologically Vulnerable Watershed Areas: A Case Study of Yongding River Basin DOI Open Access

Jingyi Guo,

Lingling Wang

Sustainability, Journal Year: 2024, Volume and Issue: 16(21), P. 9383 - 9383

Published: Oct. 29, 2024

Ecosystem service value is crucial for balancing economic growth and ecological preservation in ecologically vulnerable watershed areas. Although Gross Product (GEP) has received significant attention, most existing studies have focused on how to measure it. Few explored spatiotemporal variations GEP land-use changes affect these regarding restoration at the river basin level. Additionally, while many examined relationship between ecosystem growth, there little research components of influence growth. Analyzing structure its could offer new insights into optimizing strategies promoting sustainable development regions. In this study, we used ArcGIS, InVEST, SPSS, Python analyze Yongding River Basin within Beijing–Tianjin–Hebei Economic Region from 1995 2020. Moran’s Index variance decomposition were applied structure. The grey prediction model forecasted trends 2025 2035. random forest was assess changes’ impacts GEP. Paired T-tests compare GDP, a dynamic panel examine factors influenced results show following: (1) Regarding values, accounting indicated that cultural (ECV) regulating (ERV) each contributed about half total provisioning (EPV) showed an upward trend with fluctuations. spatial distribution, I analysis positive correlations EPV ERV. 2035 under current policies, especially ERV ECV. (2) terms changes, land area consistently influential factor across GEP, EPV, Unused identified as (3) Before 2010, larger than differences 2000. From 2010 onwards, GDP surpassed but not statistically significant. Dynamic regression further water conservation significantly boosted whereas purification reduced This study highlights importance integrating ensure sustainability

Language: Английский

Citations

0