Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 330, P. 117190 - 117190
Published: Jan. 3, 2023
Language: Английский
Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 330, P. 117190 - 117190
Published: Jan. 3, 2023
Language: Английский
Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 340, P. 117929 - 117929
Published: April 21, 2023
Language: Английский
Citations
35Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110589 - 110589
Published: July 10, 2023
The remote sensing ecological index (RSEI) has been established as a comprehensive indicator to evaluating long–term quality (EQ) changes. However, previous studies mostly focused on EQ change analysis at discrete time points and ignored the continuous process. This study aims construct an annual collection from 2000 2019 reveal spatial temporal changes in under combined action of multiple factors. We developed RSEI Northeast China based Google Earth Engine described patterns using trend analysis. Furthermore, we quantified contributions natural anthropogenic driving factors their interactions utilizing geographical detector model. results showed that improved Moderate Good over 2000–2019, with increasing 0.54 0.67. pixel-based suggested regions stable accounted for 52.57% 46.73%, respectively. improvements were found cropland, grassland, woodland. deterioration areas only 0.70% mainly occurred urban, coastal, sandy areas. Among nine factors, elevation, land use intensity, slope primary improvement, 20%, 16%, 13% China, respectively, while eco-engineering area explained 32% negative effect deterioration. Compared contribution single factor, multi-factor significantly enhanced those factors' explanatory power variations. this will provide significant information important reference decision-makers make more targeted efforts environmental protection restoration.
Language: Английский
Citations
29Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 402, P. 136740 - 136740
Published: March 9, 2023
Language: Английский
Citations
26Ecological Indicators, Journal Year: 2023, Volume and Issue: 149, P. 110171 - 110171
Published: March 28, 2023
In China, the fast growth of economy and society is causing a change in multifunction cultivated land (MCL), but there still lack proper understanding structural connections between these internal functions. Based on exploring theoretical concept MCL quantitative measurement, this paper applied trade-off/synergy model bivariate spatial autocorrelation to investigate relationships various dimensions MCL, influential factors was revealed by Geographical Detectors. Our research demonstrated that function China's has obviously changed from single grain production complex including social security, ecological cultural functions during 2010–2020. Through measurement results show that, one hand, total amount increases significantly over time; other shows typical differentiation characteristic "high southern low northern". According analysis trade-off/synergy, overall, presents positive synergy situation, situation been enhanced time. As influencing factors, socio-economic development, especially rural affected trade-off/synergy. Moreover, multi-factor interaction considerably improves explanatory power relationship for MCL. These provide evidence establishing more efficient use can also food security management strategies.
Language: Английский
Citations
24Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111707 - 111707
Published: Feb. 1, 2024
Accurately assessing ecosystem services value (ESV) and understanding its spatial distribution characteristics is crucial for establishing compensation standards of ecological protection realizing cross-regional trading. From the perspective heterogeneity theory, we propose an approach model ESV. We apply this to empirical assessment ESV in China by combining multi-source data equivalent factor method. The results can be summarized as follows: (1) sub-functions (ES) their values show significant differences, most ES reveal a pattern decreasing from southeast northwest. (2) After considering heterogeneity, total decreases, including some parts Qinghai–Tibet Plateau, whereas southeastern northeastern regions increases significantly. (3) aggregation Chinese municipalities could characterized, but if not considered, degree will underestimated. based on provides accurate detailed basic basis rational determination protection. Moreover, revealing new effectively determining supply beneficiary areas
Language: Английский
Citations
13Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111760 - 111760
Published: Feb. 1, 2024
Synergies and trade-offs among land use covers (LULCs) pose considerable uncertainties in achieving the dual carbon goals for China's Loess Plateau (CLP). In this context, we unraveled stock dynamics induced by cover change (LUCC) CLP over past 40 years using satellite-derived annual LULC maps InVEST model. Then, mixed measures were employed to quantify global local responses of both natural anthropogenic factors. We found that approximately a total 5.58 × 109 Mg was stored CLP's ecosystems 2019. Chronologically, showed slight decrease from 1980 2019 due extensive LUCCs linked socioeconomic activities. Specifically, density loss rate accelerated urban–rural-wild continuum (RUWC) types with higher human activity intensity, such as villages urban, while it decelerated woodlands, croplands, where intensity is lower. Moreover, gain wildlands accelerating. Finally, revealed primarily influenced variables have responded diversely drivers space.
Language: Английский
Citations
13Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 356, P. 120701 - 120701
Published: March 26, 2024
Language: Английский
Citations
13Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111783 - 111783
Published: Feb. 28, 2024
The expansion of human activities has significantly increased ecological risks, which threaten the security ecosystems. This paper takes Northeast China, a national typical barrier region, as case study to explore evolution environment under various future development scenarios. Considering complexity assessments, comprehensive approach integrating methods is employed. includes Patch-based Land Use Simulation (PLUS) model, Integrated Valuation Ecosystem Services and Trade-offs (InVEST) landscape risk assessment index system, Space Minimum Cumulative Resistance (MCR) among others. These are used dynamically assess changes in land use, (LER), layout networks. An integrated framework proposed for identifying, constructing, optimizing network (ESN). results show that LER China presents "high middle, low around" distribution characteristic. High areas mainly distributed water bodies construction lands with high fragmentation isolation, while primarily forest belt Inner Mongolia grassland lower vulnerability separation. From 2000 2020, increased, manifested Greater Lesser Khingan Range northern part region. Forecast indicate significant differences LERs ESN different socio-economic Under protection (EP) scenario, average 0.2215. area source 302,405.56 km2, length corridors 179,024.71 km, 339 nodes 410 breakpoints identified. Compared natural (ND) urban (UC) scenarios, EP scenario shows lowest most ideal ESN. provides reference resource optimization restoration China.
Language: Английский
Citations
12Land, Journal Year: 2024, Volume and Issue: 13(3), P. 363 - 363
Published: March 13, 2024
The contribution of biodiversity to the global economy, human survival, and welfare has been significantly increasing. However, nature reserves have long subject a sequence ecological environmental issues caused by activities. Therefore, quantitatively assessing spatiotemporal evolution characteristics habitat quality due land use changes exploring mechanisms potential influencing factors can provide scientific basis for stable sustainable development natural ecosystems. This study aims analyze 18 in Hubei Province identify within these explore influence multifactorial dynamics from nature, humanity, policy on this evolution. Initially, utilizes transition matrices dynamic degree methods understand conversion area. Subsequently, it analyzes 2000–2020 based InVEST model tools like spatial autocorrelation (Moran’s I) ArcGIS. Finally, 14 are selected environment, socio-human, regulation aspects analyzed Geodetector software affecting quality. results show that, during period, area increased 2000 2020, while water decreased. There were slight increases farmland, construction land, forest with significant decreases grassland areas. reveals erosion bodies artificial lake filling rapid urbanization, leading decline overall gradual increase heterogeneity. Among factors, single-factor influences such as intensity distance county roads slopes strong negative linear relationship quality, being most activity factor. interaction strength among different types bivariate detection is ranked follows: between geographical socio-human > factors. diverged past focus selection single continuous reserve empirical subject. Consequently, allows an integrated analysis physical dimensions locational topography socio-cultural elements including transportation facilities, thereby facilitating assessment interactive impacts
Language: Английский
Citations
10Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 448, P. 141682 - 141682
Published: March 5, 2024
Language: Английский
Citations
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