Instability and uncertainty of carbon storage in karst regions under land use change: a case study in Guiyang, China DOI Creative Commons
Heng Zhou,

Mingdong Tang,

Jun Huang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: Feb. 20, 2025

Introduction Karst regions are integral to the global carbon cycle. However, land use changes of karst driven by urbanization and desertification contribute instability storage, leading uncertainties in future. Understanding these instabilities is crucial for formulating sequestration management strategies. Methods This study employed Patch-generating Land Use Simulation (PLUS) Integrated Valuation Ecosystem Services Trade-offs (InVEST) estimate introduced Coefficient Variation (CV) assess uncertainty. Multiscale Geographically Weighted Regression (MGWR) was applied explore mechanisms, while Polynomial (PR) identified stable intervals factors, informing land-use policies. Results Discussion (1) From 2000 2020, Guiyang’s storage rose from 136.62 Tg 142.13 Tg. By 2035, projections under natural development, urban expansion, ecological protection scenarios increases 147.50 Tg, 147.40 147.82 respectively. (2) Carbon increased uncertainty expected decrease 2035. Instability primarily due transitions Cropland-Forest, Forest-Cropland, Cropland-Grassland, Cropland-Impervious, mainly arise Grassland-Impervious transitions. (3) DEM, AI, Distance national highways, SHDI, Mean annual precipitation affected significantly. (4) Encouraging Shrub-Forest, Shrub-Cropland Cropland-Forest conversions, controlling Forest-Shrub, Cropland-Impervious conversions within can enhance reduce establishes a methodology evaluating regions, which an extension research.

Language: Английский

Application of geographical detector and geographically weighted regression for assessing landscape ecological risk in the Irtysh River Basin, Central Asia DOI Creative Commons
Mingrui Li,

Jilili Abuduwaili,

Wenzhao Liu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 158, P. 111540 - 111540

Published: Jan. 1, 2024

The exponential growth of human activities has resulted in a substantial increase land use practices that not only modify the characteristics landscape patterns but also pose significant ecological risk (LER), with latter being pivotal for ecosystem conservation and sustainable social development. However, research on LER driving factors Irtysh River Basin (IRB) are limited. Objectively assessing high latitudes within Central Asia (Irtysh Basin) quantitatively identifying environmental its changes holds value ensuring security habitation amidst global change. In this study, spatial autocorrelation analysis method geographically weighted regression (GWR) geographical detector (Geo-Detector) models were utilized to reveal spatiotemporal based use/land cover (LULC) IRB from 1992 2020. findings indicate (1) temporal scale reveals slight increasing trend IRB. (2) distribution is characterized by dominance lower- medium-risk regions, evident positive autocorrelation. (3) pattern influenced various factors, impact temperature geo-detector model. addition, heterogeneity effects major was further obtained using GWR presented herein can serve as scientific references development sustainability safety management arid zones high-latitude cold thus promoting protection countries, enhancing consensus facilitating international cooperation conservation.

Language: Английский

Citations

37
Study of identification and simulation of ecological zoning through integration of landscape ecological risk and ecosystem service value DOI
Jiulin Li, Dawei Hu, Yongzheng Wang

et al.

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: 107, P. 105442 - 105442

Published: April 15, 2024

Language: Английский

Citations

30
Carbon storage and sequestration in a eucalyptus productive zone in the Brazilian Cerrado, using the Ca-Markov/Random Forest and InVEST models DOI
Vitor Matheus Bacani, Bruno Henrique Machado da Silva, Amanda Ayumi de Souza Amede Sato

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 444, P. 141291 - 141291

Published: Feb. 15, 2024

Language: Английский

Citations

20
Trade-offs and synergies of ecosystem services in karst multi-mountainous cities DOI Creative Commons

Qin Li,

Yu Bao, Zhitai Wang

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111637 - 111637

Published: Jan. 28, 2024

Clarifying spatiotemporal changes in ecosystem services (ESs) and understanding the trade-offs synergies among different are crucial for effective ES management regional sustainable development. In karst multi-mountainous cities (KMCs), unique landscape pattern, fragile ecological environment, intense human disturbance contribute to accelerated rocky desertification degradation of ESs. Studying provides scientific guidance formulating policies, enhancing value, mitigating KMCs. Therefore, this study analyzes four ESs — habitat quality (HQ), carbon storage (CS), water production (WP), soil retention (SR) using remote sensing images from 2008, 2013, 2018 a typical KMC, aiming reveal investigate driving factors. The key findings as follows: 1) High HQ CS values were scattered patches throughout area, mainly within Urban Remnant Mountain (URM) woodland, but fragmented by construction land. SR WP initially increase then decreased, especially bareland. WP-HQ WP-SR, exhibited tradeoffs, while WP-CS CS-HQ demonstrated synergies. No significant trade-off or synergy relationships observed between HQ-SR CS-SR. 2) URMs, biological patch KMCs' built-up highest degree trade-off/synergy, accounting 32%. When considering only degree, URMs accounted 37%. To improve overall advantages KMCs, greater design consideration preservation essential. 3) Both environmental socio-economic factors influence synergies, with playing dominant role. Future green space planning should consider road layout, land use results can guide policies urban development other

Language: Английский

Citations

16
Ecological zoning and ecosystem management based on landscape ecological risk and ecosystem services: A case study in the Wuling Mountain Area DOI Creative Commons
Heng Liu,

Diwei Tang

Ecological Indicators, Journal Year: 2024, Volume and Issue: 166, P. 112421 - 112421

Published: Aug. 1, 2024

Land use and cover changes have substantially altered surface landscape patterns, resulting in ecological risk (LER) jeopardizing the continued supply of ecosystem services (ES). Although ES LER are positive negative aspects security representation, respectively, spatiotemporal mechanism their interaction still needs to be further clarified. This study focused on Wuling Mountain Area (WMA), a critical functional zone. First, multi-source data multi-models were used evaluate analyze characteristics. Subsequently, geographically temporally weighted regression model was applied uncover heterogeneity impacts various ES. Finally, zones delineated based LER-ES quadrant, driving force analysis conducted, management strategies proposed. The main results as follows: (1) showed overall decreasing increasing trends, respectively. (2) Except for water yield, impact clear non-stationarity, with significant impact, which most pronounced habitat quality. (3) WMA divided into four zones: prevention zone, conservation enhancement reshaping Elevation, normalized difference vegetation index, human footprint identified drivers zoning. research lays solid foundation in-depth understanding proposed zoning scheme provides strong support ecologically sustainable development WMA.

Language: Английский

Citations

9
Multi-dimensional landscape ecological risk assessment and its drivers in coastal areas DOI Creative Commons

Menglin Xu,

Hajime Matsushima

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168183 - 168183

Published: Nov. 7, 2023

The eastern coastal areas of Japan are threatened by multiple ecological risks due to frequent natural disasters, climate changes, human activities, etc. Identification spatio-temporal variations and driving mechanisms landscape risk could be used as significant basis for policymakers. In this study, taking the affected 2011 Great East Earthquake Tsunami Disaster study area, "Nature-Landscape Pattern-Human Society" (NA-LP-HS) multi-dimensional assessment framework was established analyze patterns, identity factors using spatial cluster analysis principal component (SPCA) based on ArcGIS from 2009 2021. findings revealed distinct geographic patterns in risk, with a noticeable decline southwest northeast. During period 2015, leading sharp increase were disasters vegetation coverage. These high-risk concentrated Sendai Bay its surroundings. From 2015 2021, instability primarily attributed reduction coverage, occurrence heightened rainfall erosion. mainly clustered within Tokyo-centered urban agglomeration. Spatial clustering obvious across all time periods. key contributing high focused "landscape pattern" criterion, specifically including land use cover. This demonstrated ability identify factors, these results provide visual decision-making sustainable development areas.

Language: Английский

Citations

22
Long-term assessment of ecological risk dynamics in Wuhan, China: Multi-perspective spatiotemporal variation analysis DOI
Zhong Zhang,

Jian Gong,

Antonio Plaza

et al.

Environmental Impact Assessment Review, Journal Year: 2023, Volume and Issue: 105, P. 107372 - 107372

Published: Dec. 9, 2023

Language: Английский

Citations

18
Landscape Analysis and Ecological Risk Assessment during 1995–2020 Based on Land Utilization/Land Coverage (LULC) and Random Forest: A Case Study of the Fushun Open-Pit Coal Area in Liaoning, China DOI Open Access
Hua Xu, Weiming Cheng

Sustainability, Journal Year: 2024, Volume and Issue: 16(6), P. 2442 - 2442

Published: March 15, 2024

China’s Fushun open-pit mine is the largest century-old coal in Asia. Large-scale mining and use of has caused dramatic changes regional urban landscape pattern, seriously affecting ecological function ecosystem stability its surrounding landscape. Evaluating risks areas mines contributes to risk management ecosystems sustainable development society. This study selected six-phase Landsat ETM/OLI remote sensing images from 1995 2020 combined them with random forest model carry out an LULC classification and, on this basis, discusses evolution pattern evaluates risks. It fills gap research patterns area improves automatic efficiency for mines. The results show that accuracy regarding based image pixels can reach 30 m, rate 92–97%. From 2020, coverage land building increased mainly composed grassland undeveloped land. was transferred area, water body maintained a relative dynamic balance, overall vegetation greatly improved; began expand 2010, construction move valleys 2015. landforms have extended radially, sprawl index increased, indicating optimization environment; high- medium-risk decreased by 75.51 km2, low-risk expanded 461.48 decreased. this, it possible conclude restoration project adopted achieved great results, improvement environment also directly affects increase These provide scientific guidance rational utilization resources

Language: Английский

Citations

8
Ecological Risk Assessment of Forest Landscapes in Lushan National Nature Reserve in Jiangxi Province, China DOI Open Access

Jinfeng Rao,

Xunzhi Ouyang, Ping Pan

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(3), P. 484 - 484

Published: March 5, 2024

It is highly valuable to analyze and assess the landscape ecological risk of nature reserves prevent resolve risks, as well effectively protect maintain sustainable development reserves. Taking forest Lushan National Nature Reserve its study object, this performed grid processing for reserve classified types using Forest Resource Inventory Database in 2019. A index model was constructed evaluate risk. Global local Moran values were used reveal autocorrelations The geodetector method comprehensively effects natural human factors on results showed that, general, level relatively low, proportion lowest-, lower-, medium-risk areas total forestry land area accounted 91.03%. ranking each functional zone, from high order experimental buffer core zone. levels different closely related their area, spatial distribution, succession stage, factors, such proximity roads settlements, etc. with highest Cunninghamia lanceolata (Lamb.) Hook. forest, lowest other land. Ecological had a positive correlation tended be aggregated space, demonstrating coupling settlements. affected by both among which played dominant role. relative humidity, temperature main driving factors. interaction pairwise stronger influence than that single Therefore, controlling intensity activities enhancing coordination between humans are beneficial alleviating risks landscapes

Language: Английский

Citations

7
Landscape ecological risk analysis of subtropical vulnerable mountainous areas from a spatiotemporal perspective: Insights from the Nanling Mountains of China DOI Creative Commons

Lingyue Huang,

Lichen Yuan,

Yongyan Xia

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110883 - 110883

Published: Aug. 30, 2023

Although mountains provide various important ecological services for human beings, the need remains to be stressed further research on conducting risk analysis in vulnerable mountainous regions characterized by a relatively high population density. In this study, Nanling Mountains, which are recognized as significant region southern China, were selected case. Using Globe Land30 dataset and landscape metrics, we calculated indices from 2000 2020. Our objective was investigate distribution changes risks within areas their associated implication, support protection development of valuable reference case management other regions. The results showed that land cover transformation predominantly driven expansion artificial surfaces open water, accompanied decline woodland, cultivated land, grassland, wetland, shrubland areas. overall metrics exhibited minimal changes, with majority modifications observed between 2010. During period, there noticeable shift patch shape complex simple, decrease continuity, an increase separation, heterogeneity. index displayed substantial spatial heterogeneity study area. High-risk medium–high-risk primarily concentrated central eastern regions, surrounded medium-risk Low-risk medium–low-risk widely dispersed across entire Between 2020, rise percentage low 61.74% 64.05%. This indicates enhancement environment transfer involved high-altitude grasslands. correlation total regional GDP LERI smooth inverse "U" linear relationship them. To conclude, exists definite activities, particularly environmental policies. Additionally, aligns Environmental Kuznets Curve. It is crucial approach major decisions concerning densely populated fragile careful consideration caution. promoting optimization integration, priority should given area around surface.

Language: Английский

Citations

16