Using the InVEST-PLUS Model to Predict and Analyze the Pattern of Ecosystem Carbon storage in Liaoning Province, China

Remote Sensing, Год журнала: 2023, Номер 15(16), С. 4050 - 4050

Опубликована: Авг. 16, 2023

Studying the spatiotemporal distribution pattern of carbon storage, balancing land development and utilization with ecological protection, promoting urban low-carbon sustainable are important topics under China’s “dual strategy” (Carbon emissions stabilize harmonize natural absorption). However, existing research has paid little attention to impact use changes different spatial policies on provincial-scale ecosystem storage. In this study, we established a density database for Liaoning Province obtained temporal storage over past 20 years. Then, based 16 driving factors multiple in Province, predicted cover (LUCC) three scenarios 2050 analyzed characteristics response mechanisms scenarios. The results showed that (1) LUCC directly affected 35.61% increase construction decrease 0.51 Tg 20-year period. (2) From 2020 2050, varied significantly among trend scenario (NTS), restoration (ERS), economic priority (EPS), values 2112.05 Tg, 2164.40 2105.90 respectively. Carbon exhibited positive growth, mainly due substantial forest area. (3) was characterized by “low center, high east, balanced west”. Therefore, can consider rationally formulating strictly implementing policy protection future planning so as control disorderly growth land, realize area, effectively enhance ensure realization goal strategy”.

Язык: Английский

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Carbon sinks in urban public green spaces under carbon neutrality: A bibliometric analysis and systematic literature review

Urban forestry & urban greening, Год журнала: 2023, Номер 86, С. 128037 - 128037

Опубликована: Июль 21, 2023

Язык: Английский

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CO2 sequestration in subsurface geological formations: A review of trapping mechanisms and monitoring techniques

Earth-Science Reviews, Год журнала: 2024, Номер 253, С. 104793 - 104793

Опубликована: Май 3, 2024

Carbon capture and storage (CCS) in subsurface formations has emerged as a promising strategy to address global warming. In light of this, this review aims provide comprehensive understanding the mechanisms involved geological trapping CO2. Additionally, it identify techniques used evaluate potential for CO2 sequestration before injecting into methods monitor progress after injection. The also presents future research directions based on current trends field. Four principal were identified: structural, capillary (residual), solubility, mineral trapping. These vary their capacity over time security they offer. Structural provides most significant contribution trapping, whereas offers highest security. terms monitoring assessment, three main approaches identified, including seismic borehole geophysical methods, atmospheric laboratory-scale experiments. One novel aspects is that outlines various experimental investigating mechanisms, an area prior reviews have not addressed. At laboratory level, tests experiments are study characteristics. categorized petrophysical characterization, pore-scale experiments, CO2-fluid-rock interaction adsorption evaluation. Another development qualitative assessment approach applicability throughout stages projects. This innovative been reported previous literature. Our was prepared following scoping methodology, ensuring inclusion recent relevant studies.

Язык: Английский

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Unraveling the impact of urban expansion on vegetation carbon sequestration capacity: A case study of the Yangtze River Economic Belt

Sustainable Cities and Society, Год журнала: 2025, Номер unknown, С. 106157 - 106157

Опубликована: Янв. 1, 2025

Язык: Английский

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Spatiotemporal patterns of urban forest carbon sequestration capacity: Implications for urban CO2 emission mitigation during China's rapid urbanization

The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 168781 - 168781

Опубликована: Ноя. 24, 2023

Язык: Английский

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Understanding the rapid increase in drought stress and its connections with climate desertification since the early 1990s over the Brazilian semi-arid region

Journal of Arid Environments, Год журнала: 2024, Номер 222, С. 105142 - 105142

Опубликована: Март 14, 2024

The aridity-related drought studies have been carried out extensively in Brazilian semi-arid ecosystems, although there is no report on relating aridity with different indices over the recent decades. Due to impact agriculture and natural it has attracted extensive attention academic community. In this study, Standardized Precipitation Evapotranspiration Index (SPEI), Soil Moisture Ocean Salinity-derived Water Deficit (SWDI), Meteosat Spinning Enhanced Visible InfraRed Imager (SEVIRI) radiance-derived solar infrared estimates, SEVIRI-derived Normalized Difference Vegetation (NDVI) datasets were employed investigate spatial temporal characteristics of episodes vegetation dynamic responses. An approach was implemented for identifying using a combination mathematical statistical features derived from SPEI. results showed that: (1) frequency, duration, intensity severity identified by SPEI SWDI 1990 2022 region 2022. frequency moderate, severe, extreme ranged 5% 92%, duration mostly concentrated 5–6 dry months. (2) whole exhibited an overall drying tendency. (3) NDVI-derived ecosystems decreased trend during 2004–2022, indicating degrading cover. where NDVI negatively correlated accounted approximately 13% region. (4) average flash 21% 6 pentads, growing season. (5) trends significance test rainfall, air temperature, SEVIRI radiance-based estimations suited well those data. These research significant respond prevent through human-induced land degradation.

Язык: Английский

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On China’s earth observation system: mission, vision and application

Geo-spatial Information Science, Год журнала: 2024, Номер unknown, С. 1 - 19

Опубликована: Апрель 12, 2024

China's Earth Observation(EO) System has undergone significant development since the 1970s, as China dedicated substantial efforts to advancing remote sensing technology. With fifty years of development, successfully narrowed technology gap with foreign countries through collaborative endeavors government and enterprises. At present, constructed a comprehensive EO system that been proven indispensable for driving economic growth facilitating sustainable development. This paper provides an overview missions, andapplications system, while also exploring future directions technical trends system.

Язык: Английский

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Urban forest species selection for improvement of ecological benefits in Polish cities - The actual and forecast potential

Journal of Environmental Management, Год журнала: 2024, Номер 366, С. 121732 - 121732

Опубликована: Июль 8, 2024

Trees in cities perform important environmental functions: they produce oxygen, filter pollutants, provide habitat for wildlife, mitigate stormwater runoff, and reduce the effects of climate change, especially terms lowering temperatures converting carbon dioxide from atmosphere into stored carbon. Generally, to increase benefits urban forests, number trees is increased, directly influencing canopy coverage. However, little known about potential modifying species composition tree communities order ecological benefits. Planting managing particularly challenging city centres, where dense, often historic infrastructure buildings roads do not allow a significant greenspace. Estimations cover obtained through i-Tree Canopy analysis unveiled historical areas Polish 15-34% 31–51%. This study models forests cities, focusing on how different compositions can enhance functions such as sequestration pollution filtration. Two main scenarios were analyzed: one involving addition based most common currently planted ("standard option" SO), another incorporating changes ("city specific SCO). Acer platanoides (14.5%) Tilia cordata (11.45%) frequently cities. Betula pendula, Quercus robur, Robinia pseudoacacia, Fraxinus excelsior, pseudoplatanus, Aesculus hippocastanum campestre also forest (up 5%). The diverse range contributes significantly overall potential. results suggest that could rates by 47.8%–114% annually, with option (SCO) being effective enhancing highlights importance strategic selection forestry practices maximize change effects.

Язык: Английский

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Nature-based solutions: Assessing the carbon sink potential and influencing factors of urban park plant communities in the temperate monsoon climate zone

The Science of The Total Environment, Год журнала: 2024, Номер 950, С. 175347 - 175347

Опубликована: Авг. 6, 2024

Язык: Английский

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Prediction of Urban Forest Aboveground Carbon Using Machine Learning Based on Landsat 8 and Sentinel-2: A Case Study of Shanghai, China

Remote Sensing, Год журнала: 2023, Номер 15(1), С. 284 - 284

Опубликована: Янв. 3, 2023

The aboveground carbon storage (AGC) of urban forests is an important indicator reflecting the ecological function forests. It essential to monitor AGC and analyze their spatiotemporal distributions. Remote sensing a technical tool that can be leveraged accurately forest AGC, whereas machine learning algorithm for accurate prediction AGC. Therefore, in this study, single Landsat 8 (L) remote data, Sentinel-2 (S) combined (L + S) data are used as sources. Four methods, support vector regression (SVR), random (RF), XGBoost (extreme gradient boosting), CatBoost (categorical predict based on two phases sample plots Shanghai. We chose optimal model simulate distribution. study shows both models separate OLI satellite distribution Shanghai forest. Nevertheless, accuracy CatBoost-integrated higher than others, with fitting validation R2 values 0.99 0.70, respectively. RMSE was also smaller at 0.67 6.29 Mg/ha, uncertainty spatial derived from 2016–2019 small consistent actual situation. Furthermore, statistics showed increased 24.90 Mg/ha 2016 25.61 2019.

Язык: Английский

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