Ecological Restoration and Zonal Management of Degraded Grassland Based on Cost–Benefit Analysis: A Case Study in Qinghai, China DOI Open Access
Ziyao Wang, Feng Li, Donglin Xie

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11123 - 11123

Published: Dec. 18, 2024

The Qinghai–Tibetan Plateau (QTP) has the largest area of natural grassland in China, and continuous degradation poses a serious threat to regional ecological security sustainable resource management. It is essential comprehensively evaluate cost–benefit differences drivers across various zones enhance management practices. This study presents zonal framework for restoration degraded grasslands based on analysis, specifically applied Qinghai Northeastern QTP. results indicate: (1) Although overall NDVI shows an upward trend, some areas still exhibit significant degradation. (2) Cost–benefit analysis can divide into four types Ecological Management Zones (EMZs): high-cost–high-benefit zone, high-cost–low-benefit low-cost–low-benefit low-cost–high-benefit zone. (3) driving factors show different EMZs. Based these research findings, differentiated spatial planning strategies were developed each EMZ. not only provides scientific methodology but also offers important insights resources QTP other ecologically sensitive areas.

Language: Английский

Dual effects on vegetation from urban expansion in the drylands of northern China: A multiscale investigation using the vegetation disturbance index DOI
Tao Qi, Qiang Ren, Chunyang He

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 928, P. 172481 - 172481

Published: April 16, 2024

Language: Английский

Citations

4

A multi-objective scheme for sustainable ecological conservation on the Qinghai–Tibet Plateau DOI
Huihui Wang, Hailin Zhang, Jinyan Zhan

et al.

Resources Conservation and Recycling, Journal Year: 2025, Volume and Issue: 219, P. 108276 - 108276

Published: March 31, 2025

Language: Английский

Citations

0

Research on accurate and effective identification of ecosystem surface based on human footprint index DOI Creative Commons

Chun Dong,

Song Qi,

Zhaoxin Dai

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 162, P. 112013 - 112013

Published: April 12, 2024

Ecosystem surface plays an important role in maintaining ecological balance and supporting economic development. Accurate effective identification of ecosystem with different uses allows for better categorization management contributes to the orderly restoration ecosystems. In this study, Human Footprint Index (HFI) is constructed by comprehensively considering factors biodiversity, human activity impacts, geometric features, combined multi-factor knowledge constraints such as changes land cover. We carry out accurate analysis surfaces, using Changzhou City's tree cover a test area. The results show that: (1) degree affected activities City varies greatly, Gross Domestic Product (GDP) elevation are main affecting level HFI. (2) distribution native artificial uneven, more than 95% surfaces distributed peripheral areas city higher elevations farther away from center. Artificial likely be found high GDP frequent activities, mainly urban centers large proportion buildings along roads. (3) overall accuracy 83.20%, which center area slightly lower agricultural production land. study provide method objective, surface, can improve enthusiasm local governments fulfilling their protection duties contribute efficient achievement goal civilization construction.

Language: Английский

Citations

3

The influence of climatic and human-induced factors on the spatial distribution of invasive plant species richness across the Loess Plateau DOI Creative Commons
Liu Guan, Ying Liu,

Y. Zhang

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 54, P. e03083 - e03083

Published: July 8, 2024

Biological invasion poses a critical global issue, leading to substantial detrimental impacts on biodiversity, the environment, and economy. The objective of study is offer thorough understanding how both climatic human-induced elements impact geographic richness invasive plant species across Loess Plateau. We evaluate distribution at county level Plateau by examining herbarium records from China. incorporate 16 anthropogenic variables depict local environmental settings. Furthermore, we apply classification regression tree approach investigate correlation between identified factors. Our demonstrates that total 401 are identified, which spread 249 genera 61 families. Among these, Asteraceae family stands out as most prevalent, trailed Poaceae Fabaceae. spatial reveals notable trend, with highest frequencies found in southeastern parts region lowest northwestern areas. It noteworthy regions higher levels economic advancement tend harbor more significant abundance species. predominantly shaped combination human variables, such annual precipitation, gross domestic product, maximum temperature warmest month, minimum coldest month. To fully comprehend ecological biological mechanisms underlying diversity Plateau, pioneering conceptual framework has been established. suggests achieving harmonious equilibrium among development, conservation, mitigation essential for recognizing emerging risks associated habitat alterations, climate change, socio-economic advancements arid regions.

Language: Английский

Citations

3

Spatiotemporal range dynamics and conservation optimization for endangered medicinal plants in the Himalaya DOI Creative Commons

F Liu,

Winnie W. Mambo,

Jie Liu

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03390 - e03390

Published: Dec. 1, 2024

Language: Английский

Citations

3

Urban-rural disparities in the ecological impact of built-up land expansion: A comprehensive assessment from China DOI
Guoqiang Cheng, Chao Pan, Yang Zhou

et al.

Applied Geography, Journal Year: 2025, Volume and Issue: 179, P. 103618 - 103618

Published: April 26, 2025

Language: Английский

Citations

0

The Impact of Human Activity Expansion on Habitat Quality in the Yangtze River Basin DOI Creative Commons

Chenchen Bian,

Liyan Yang,

Xiaozhen Zhao

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 908 - 908

Published: June 22, 2024

Globally, natural habitats have suffered tremendous damage from human activities, a phenomenon that is increasingly evident in basin regions. The management of regions dependent on understanding the various impacts activities these ecosystems. Despite studies been conducted effects regions, there still lot doubt regarding impact quality To fill this gap, study employs series spatial analysis methods and logistic regression modeling to delve into temporal patterns habitat Yangtze River Basin (YRB) as well differences sub-basins YRB. findings indicate 0.408% decline overall environmental YRB area 2000 2020, accompanied by 15.396% surge activities. Notably, southeastern Qilian Mountains mountainous northwestern sector Sichuan emerge pivotal areas for restoration. Conversely, southwestern urban clusters Delta (YRD) face significant deterioration. Spatial analyses reveal noteworthy trend: burgeoning region pose substantial threat recovery efforts. Further differential focusing upper, middle, lower segments underscore exert most pronounced within region, while upper experiences least influence. implications are manifold. It furnishes valuable policy insights comprehensive targeted preservation across By delineating restoration degradation highlighting segments, research lays solid foundation informed decision making conservation ecosystem

Language: Английский

Citations

3

Spatiotemporal Evolution and Coupling Analysis of Human Footprints and Habitat Quality: Evidence of 21 Consecutive Years in China DOI Creative Commons
Qiang Xue, Lu Lu, Yang Zhang

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 980 - 980

Published: July 3, 2024

Assessing the spatiotemporal evolution characteristics of habitat quality, human footprint, and coupling coordination between two systems in continuous cycles on national scales is great significance to maintaining biodiversity sustainable development. This study took China as an example, based land-use data from 2000 2020, using Integrated Valuation Ecosystem Services Tradeoffs—Habitat Quality (InVEST-HQ) model footprint framework, trend analysis methods such Theil–Sen Median Analysis, Mann–Kendall Test, Grid Transition Matrix (GTM) Method combining four-quadrant degree (CCDM) reveal CCDM for 21 consecutive years response relationship quality footprint. The results show that land cover change area 2020 accounted 4.2% total area. Both footprints exhibit apparent spatial heterogeneity along “Hu Line” generally fall into evolutionary stages: “degradation–improvement”. proportions degradation improvement were 14.37% 8.36%, respectively, mutation point was year 2013; average increased by 16.75%, decreased 63.40% 21.53%, respectively. occurred 2014. right side primarily hosts areas with high values coordinated index systems. four quadrants have following characteristics: “quadrant IV dominant, II III left are quadrant I located transition zone ‘Hu Line’”. (CCD) a weak, nonlinear “inverted U-shaped” relationship. provides compelling evidence China, scientific decision-making support protection economic development, maintains bottom line ecological security beautiful China.

Language: Английский

Citations

2

Spatiotemporal Evolution of Habitat Quality and Scenario Modeling Prediction in the Tuha Region DOI Creative Commons

Junxia Wang,

Abudukeyimu Abulizi,

Yusuyunjiang Mamitimin

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 1005 - 1005

Published: July 7, 2024

In recent years, increasing urbanization has profoundly impacted the quality of regional habitats, presenting a severe risk to ability region develop in high-quality manner. Therefore, scientific assessment features habitat (HQ) evolution over time and space prediction future trends changes HQ are great significance for formulation effective ecological protection policies. Based on five periods land use cover (LULC) data from 2000 2020, InVEST model was used estimate both geographical chronological Tuha region, China. Spatial autocorrelation analysis methods were assess spatial aggregation degradation, zoning delineated conjunction with Human Footprint Index (HFI). results zoning, study predicted 2040 under three scenarios: natural development (ND), preservation (EP), urban (UD) by applying Patch-Generating Land Use Simulation (PLUS) model. The demonstrated that (1) exhibited downward trend, proportion low 83.63% 84.24%. Spatially, high is mainly concentrated Tianshan Mountains. From Moran index decreased 0.967 0.959, while degradation declined 0.805 0.780. exhibit significant aggregation, degree increased incrementally. (2) human activities area continuously district counties. (HFI) 0.66% 1.32%, medium HFI 3.13% 7.46%. (3) expansion urbanized exacerbated degradation. EP scenario higher than ND UD scenario. show more conducive sustainable region. can provide basis management area.

Language: Английский

Citations

2

Mapping human footprint changes over Qingzang Plateau DOI Creative Commons
Jia Zhou, Ning Wu, Tao Lu

et al.

Geography and sustainability, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 1, 2024

Language: Английский

Citations

1