Ecosystem Service Trade-Offs and Synergies in a Temperate Agricultural Region in Northeast China DOI Creative Commons
Yuhong Li, Yu Cong, Zhang Jin

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(5), С. 852 - 852

Опубликована: Фев. 28, 2025

Ecosystem services (ESs) are essential for balancing environmental sustainability and socio-economic development. However, the of ESs their relationships increasingly threatened by global climate change intensifying human activities, particularly in ecologically sensitive agriculturally-intensive regions. The Songnen Plain, a crucial agricultural region Northeast China, faces considerable challenges sustaining its due to overexploitation land, degradation, variability. This study assessed five key Plain from 2000 2020 across multiple scales: habitat quality (HQ), soil conservation (SC), water yield (WY), food production (FP), windbreaking sand fixing (WS). We evaluated trade-offs synergies between these ESs, as well driving factors main ES trade-offs. Our findings indicate that provisioning (WY FP) regulating (SC WS) improved over time, with FP exhibiting most significant increase at 203.90%, while supporting (HQ) declined 32.61%. primary ecosystem service multifunctionality areas were those provided FP, SC, WY, accounting 58% total. varied spatial scales, stronger being observed pixel scale more pronounced county scale. Climate factors, precipitation temperature, played role shaping than anthropogenic factors. provides valuable insights into restoration sustainable management temperate regions, implications protection northeastern black safeguarding national security.

Язык: Английский

Projecting the response of ecological risk to land use/land cover change in ecologically fragile regions DOI
Guangyi Deng, Haibo Jiang,

Shiying Zhu

и другие.

The Science of The Total Environment, Год журнала: 2024, Номер 914, С. 169908 - 169908

Опубликована: Янв. 6, 2024

Язык: Английский

Процитировано

47
Land use/land cover change and soil property variation increased flood risk in the black soil region, China, in the last 40 years DOI
Shuai Ma, Liangjie Wang, Jiang Jiang

и другие.

Environmental Impact Assessment Review, Год журнала: 2023, Номер 104, С. 107314 - 107314

Опубликована: Окт. 6, 2023

Язык: Английский

Процитировано

25
Measurement of cultivated land ecosystem resilience in black soil region of Northeast China under the background of cultivated land protection policy in China: Case study of Qiqihar City DOI

Xinran Miao,

Zehong Li, Mengyuan Wang

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 434, С. 140141 - 140141

Опубликована: Дек. 14, 2023

Язык: Английский

Процитировано

24
Telecoupling between urban expansion and forest ecosystem service loss through cultivated land displacement: A case study of Zhejiang Province, China DOI
Shuai Ma, Guangyi Deng, Liangjie Wang

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 357, С. 120695 - 120695

Опубликована: Март 28, 2024

Язык: Английский

Процитировано

11
Assessing Forest Fragmentation due to Land use Changes from 1992 to 2023: A Spatio-Temporal Analysis Using Remote Sensing Data DOI Creative Commons
Khadim Hussain, Kaleem Mehmood, Shoaib Ahmad Anees

и другие.

Heliyon, Год журнала: 2024, Номер 10(14), С. e34710 - e34710

Опубликована: Июль 1, 2024

The increasing pressures of urban development and agricultural expansion have significant implications for land use cover (LULC) dynamics, particularly in ecologically sensitive regions like the Murree Kotli Sattian tehsils Rawalpindi district Pakistan. This study's primary objective is to assess spatial variations within each LULC category over three decades (1992-2023) using cross-tabulation ArcGIS identify changes investigates into forest fragmentation analysis Landscape Fragmentation Tool (LFTv2.0) classify several classes such as patch, edge, perforated, small core, medium large core. Utilizing remote sensing data from Landsat 5 9 satellites, research focuses on temporal dynamics various including Coniferous Forest (CF), Evergreen (EF), Arable Land (AR), Buildup Area (BU), Barren (BA), Water (WA), Grassland (GL). Support Vector Machine (SVM) classifier software were employed image processing classification, ensuring accuracy categorizing different types. Our results indicate a notable reduction forested areas, with (CF) decreasing 363.9 km

Язык: Английский

Процитировано

11
Analysis of trade-off and synergy of ecosystem services and driving forces in urban agglomerations in Northern China DOI Creative Commons
B. H. Chang, Bingming Chen, Wei Chen

и другие.

Ecological Indicators, Год журнала: 2024, Номер 165, С. 112210 - 112210

Опубликована: Июнь 12, 2024

Язык: Английский

Процитировано

9
Hyperspectral inversion of heavy metal content in farmland soil under conservation tillage of black soils DOI Creative Commons
Yanan Chen,

Wanying Shi,

Guzailinuer Aihemaitijiang

и другие.

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 2, 2025

Globally, heavy metal (HM) soil pollution is becoming an increasingly serious concern. Heavy metals in soils pose significant environmental and health risks due to their persistence, toxicity, potential for bioaccumulation. These often originate from anthropogenic activities such as industrial emissions, agricultural practices, improper waste disposal. Once introduced into the soil, they can bind particles, making them difficult remove, while potentially entering food chain through plant uptake or water contamination. Rapid access reliable data on HM viscosity necessary efficiently monitor remediated soils. Visible near-infrared reflectance spectroscopy (350–2500 nm) economical zero-pollution method that evaluate multiple concentrations simultaneously. Black a valuable resource helps guarantee security worldwide serve carbon reservoir, but its protection faces several challenges. Due long-term high-intensity development utilization severe over-exploitation of groundwater, arable land China's black area has been degraded. Using hyperspectral inversion content reduce destructive sample collection chemical better protect resources, steadily restore improve basic fertility land. Focusing region Jilin Province, this study explored correlation between three HMs, namely copper, zinc, cadmium, organic substances, clay minerals, ferromanganese oxides in-depth analysis samples using spectrometry. The spectra were transformed first-and second-order derivatives, scattering corrections, autoscales, Savitzky–Golay smoothing. successive projection algorithm was used screen characteristic bands (Table S1) establish link spectra. By employing support vector machine (SVM), random forest (RF), partial least squares (PLS) models, feature band-based modeling established. Moreover, optimal combinations spectral transforms models also examined. findings indicate RF model (R2 > 0.8, RPIQ 0) outperformed SVM PLS anticipating thus demonstrating superior accuracy. Understanding behavior developing effective management strategies are essential ensuring sustainable use protecting public health. This contributes large-scale monitoring systems assessments

Язык: Английский

Процитировано

1
Vegetation restoration thresholds under different vegetation types and altitude gradients in the Sichuan-Yunnan ecological shelter, China DOI
Shuai Ma, Liangjie Wang,

Limin Ye

и другие.

Journal of Environmental Management, Год журнала: 2023, Номер 340, С. 117910 - 117910

Опубликована: Апрель 20, 2023

Язык: Английский

Процитировано

21
Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China DOI Open Access

Jinlin Lai,

Jiashun Li, Li Liu

и другие.

Forests, Год журнала: 2024, Номер 15(6), С. 1039 - 1039

Опубликована: Июнь 16, 2024

Revealing the relationship between land use changes and soil erosion provides a reference for formulating future strategies. This study simulated historical based on RULSE GeoSOS-FLUS models used random forest model to explain relative importance of natural anthropogenic factors erosion. The main conclusions are as follows: (1) From 1990 2020, significant in occurred Kunming, with continuous reduction woodland, grassland, cropland, being converted into construction land, which grew by 195.18% compared 1990. (2) During this period, modulus decreased from 133.85 t/(km²·a) 130.32 loss 74,485.46 t/a, mainly due conversion cropland ecological lands (woodland, grassland). (3) expansion will continue, it is expected that 2050, decrease 3.77 t/(km²·a), 4.27 3.27 under development, rapid protection scenarios, respectively. However, scenario, increased 0.26 2020. (4) spatial pattern influenced both factors, human activities intensify future, influence further increase. Traditionally, thought increase loss. Our may offer new perspective provide planning management Kunming.

Язык: Английский

Процитировано

6
Accuracy assessment of land cover products in China from 2000 to 2020 DOI Creative Commons
Zhiwen Li, Xingyu Chen, Jie Qi

и другие.

Scientific Reports, Год журнала: 2023, Номер 13(1)

Опубликована: Авг. 9, 2023

The accuracy assessment of land cover data is significant value to accurately monitor and objectively reproduce spatio-temporal dynamic changes surface landscapes. In this study, the interpretation applicability CCI, MCD, CGLS long time-series products for China were evaluated via consistency analysis a confusion matrix system using NLUD-C periodic as reference data. results showed that had highest overall accuracy, Kappa coefficient, area in continuous evaluation, followed by whereas CCI worst performance. For subdivided types, three could describe distribution forest with high recognition level, but their ability water body construction was poor. Among other better identify cropland, MCD grassland, unused land. Based on these evaluation characteristics products, we developed suitable selection schemes users different requirements.

Язык: Английский

Процитировано

15