Evolution Characteristics of Wetland Landscape Pattern and Its Impact on Carbon Sequestration in Wuhan from 2000 to 2020 DOI Creative Commons

Jufang Song,

Ruidong Zhang,

Yiran Wang

et al.

Land, Journal Year: 2023, Volume and Issue: 12(3), P. 582 - 582

Published: Feb. 28, 2023

The wetland ecosystem is an important organic carbon pool on earth, and rich storage high density are present in vegetation soil. However, large areas of wetlands have been drained, the area has shrunk, degree fragmentation intensified due to rapid urbanization past 20 years. Enhancing ecological sequestration capacity a key task peaking neutrality, studying function urban urgently needed. In this work, Wuhan was taken as main research object. landscape pattern index calculated evolution characteristics were analyzed using remote sensing image interpretation data from 2000 2020. CASA model used estimate explore spatial temporal distribution sequestration. Spearman correlation study effects different parameters Results indicate following: (1) From 2020, total reduced by 158.99 km2, among which lakes, reservoirs marshes decreased 60.65 55.51 km2 41.77 respectively. patches irregularity increased, LPI, aggregation diversity decreased. (2) years, amount first then lowest 2010 (571,900 t). 2020 same that 2000, reaching 800,000 t. (3) A larger means more concentrated denser distribution, complex shape, diverse type, stronger for wetland. On contrary, becomes fragmented regular, disordered planning leads reduction types unit area, will decrease sink wetlands.

Language: Английский

Evaluation and analysis of ecosystem service value based on land use/cover change in Dongting Lake wetland DOI Creative Commons

Xiangren Long,

Hui Lin,

Xuexian An

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 136, P. 108619 - 108619

Published: Feb. 2, 2022

Wetland vegetation has experienced significant loss and degradation over the last few decades. Although volumes of studies involve wetlands, limited attention been paid to long-term changes ecological values inland lake wetlands in China. In this paper, land use/cover data Dongting Lake wetland from 1995 2020 was generated based on Google Earth engine using Stacking algorithm. Subsequently, spatial temporal variation types explored dynamic analysis correlation indices change. The main factors influencing distribution were identified by Geodetector. Finally, degree impact ecosystem service value quantified equivalence factor method. results show that, past 25 years, use had switched with each other more frequently, a total 294.94 km2 area lost, mainly due shrinkage water, reeds sedge. affecting are population density, GDP, elevation sunshine duration, interaction drivers is mostly linearly enhanced no weakening effect. addition, showed trend first decreasing then increasing, ¥87,000.99 million ESV. study can provide basic information for preliminary work planning design, demonstrate importance ecosystems different regions. Based assessment results, it an important basis construction security patterns policy formulation civilization construction.

Language: Английский

Citations

128

Spatio-temporal evolution and driving factors of eco-environmental quality based on RSEI in Chang-Zhu-Tan metropolitan circle, central China DOI Creative Commons
Yi Zhang, Jiyun She,

Xiangren Long

et al.

Ecological Indicators, Journal Year: 2022, Volume and Issue: 144, P. 109436 - 109436

Published: Sept. 15, 2022

Accurately analyzing the spatial and temporal evolution of regional eco-environmental quality exploring response to natural environment human factors are essential protect ecological environment. This study analyzed environmental Chang-Zhu-Tan metropolitan circle, central China from 2000 2020 based on Google Earth Engine (GEE) Remote Sensing Ecological Index (RSEI). Subsequently, we introduced Partial Least Squares Structural Equation Model (PLS-SEM) explore RSEI direct indirect effects anthropogenic factors, assessed autocorrelation quality. The results showed that mean value in area was showing an increasing trend, with lowest 2010 (0.6508) highest (0.6948). level mainly good excellent, average accounted for more than 70% total area, upward trend during 2000–2020. Climate, soil, terrain, urbanization had different environment, climate, terrain positive while negative it. effect climate gradually weakened, strengthened. Climate weakened soil degrees. provides a method rapid accurate assessment exploration complex interaction pathways influencing which is balancing relationship between development nature.

Language: Английский

Citations

106

Spatiotemporal heterogeneity of ecosystem service interactions and their drivers at different spatial scales in the Yellow River Basin DOI
Qi Liu, Jiajun Qiao, Mengjuan Li

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168486 - 168486

Published: Nov. 10, 2023

Language: Английский

Citations

88

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

Assessing Spatiotemporal Dynamics of Net Primary Productivity in Shandong Province, China (2001–2020) Using the CASA Model and Google Earth Engine: Trends, Patterns, and Driving Factors DOI Creative Commons

Dejin Dong,

Ruhan Zhang,

Wei Guo

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(3), P. 488 - 488

Published: Jan. 30, 2025

Net primary productivity (NPP) is a core ecological indicator within terrestrial ecosystems, representing the potential of vegetation growth to offset anthropogenic carbon emissions. Thus, assessing NPP in given region crucial for promoting regional restoration and sustainable development. This study utilized CASA model GEE calculate annual average Shandong Province (2001–2020). Through trend analysis, Moran’s Index, PLS−SEM, spatiotemporal evolution driving factors were explored. The results show that: (1) From 2001 2020, showed an overall increasing trend, rising from 254.96 322.49 g C·m⁻2/year. shift was accompanied by gradual eastward movement centroid, indicating significant spatial changes productivity. (2) Regionally, 47.9% experienced improvement, 27.6% saw slight 20.1% exhibited degradation, highlighting notable heterogeneity. (3) Driver analysis that climatic positively influenced across all four periods (2005, 2010, 2015, 2020), with strongest impact 2015 (coefficient = 0.643). Topographic such as elevation slope also had positive effects, peaking at 0.304 2015. In contrast, human activities, especially GDP nighttime light intensity, negatively impacted NPP, negative effect 2010 −0.567). These findings provide valuable scientific evidence ecosystem management offer key insights development strategies national level.

Language: Английский

Citations

9

Dynamics Analysis of Spatial Distribution and Landscape Pattern of Wetlands in the Weihe River Basin from 1980 to 2020 DOI Open Access

An-Min Wu,

Jun-Bao Li, Dan Zhang

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 544 - 544

Published: Jan. 12, 2025

The wetland ecosystem is one of the most important carbon sinks on Earth, biodiverse ecological landscape in nature, and living environments for human beings. Weihe River located Guanzhong Plain urban agglomeration, with extreme climate expansion having a great impact its dynamic changes. Revealing characteristics trends dynamics Basin key to protecting maintaining healthy development wetlands. This paper analyzed changing land use types patterns wetlands using data from six periods 1980 2020 explored spatial temporal distribution changes Basin. results showed following: (1) Wetlands Basin, dominated by rivers, saw area fluctuations an initial decline followed increase. Land slow–fast–slow trend. (2) From 2020, frequent conversions among were observed. primary transformation was conversion marshes into lakes (18.05 km2) reservoirs/ponds (17.98 km2). Approximately 0.06 km2 transformed canals/channels. (3) patches have largest area, while canals/channels smallest. patch density (PD) shape index (LSI) fluctuate significantly, reduction leads 3.46% decrease aggregation (AI). Shannon’s diversity (SHDI) has decreased 5.41%. (4) centroid experiences significant changes, river are complex. along southeast–northwest line. Canals/watercourses remain stable. Lakes exhibit longest migration. study provides robust scientific support protection, policy formulation, social sustainable conducting in-depth analysis change

Language: Английский

Citations

2

Analyzing trade-offs, synergies, and driving factors of ecosystem services in Anhui Province using spatial analysis and XG-boost modeling DOI

Jianshen Qu,

Zhili Xu,

Bin Dong

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 171, P. 113098 - 113098

Published: Jan. 24, 2025

Language: Английский

Citations

2

Press perturbations of microplastics and antibiotics on freshwater micro-ecosystem: Case study for the ecological restoration of submerged plants DOI
Siyu Zhang, Hao Wang, Miao Liu

et al.

Water Research, Journal Year: 2022, Volume and Issue: 226, P. 119248 - 119248

Published: Oct. 14, 2022

Language: Английский

Citations

50

Spatial and temporal variation of ecological quality in northeastern China and analysis of influencing factors DOI
Xiaoyong Zhang, Weiwei Jia,

Jinyou He

et al.

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 423, P. 138650 - 138650

Published: Sept. 4, 2023

Language: Английский

Citations

32

Understanding supply-demand mismatches in ecosystem services and interactive effects of drivers to support spatial planning in Tianjin metropolis, China DOI
Jiaying Li, Davide Geneletti, Hongcheng Wang

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 895, P. 165067 - 165067

Published: June 24, 2023

Language: Английский

Citations

28