Challenges and Opportunities in Remote Sensing for Soil Salinization Mapping and Monitoring: A Review

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(10), P. 2540 - 2540

Published: May 12, 2023

Meeting current needs without compromising future generations’ ability to meet theirs is the only path toward achieving environmental sustainability. As most valuable natural resource, soil faces global, regional, and local challenges, from quality degradation mass losses brought on by salinization. These issues affect agricultural productivity ecological balance, undermining sustainability food security. Therefore, timely monitoring accurate mapping of salinization processes are crucial, especially in semi-arid arid regions where climate variability impacts have already reached alarming levels. Salt-affected has enormous potential thanks recent progress remote sensing. This paper comprehensively reviews sensing assess The review demonstrates that large-scale salinity estimation based tools remains a significant challenge, primarily due data resolution acquisition costs. Fundamental trade-offs constrain practical applications between resolution, spatial temporal coverage, costs, high accuracy expectations. article provides an overview research work related using By synthesizing highlighting areas further investigation needed, this helps steer efforts, insight for decision-making resource management, promotes interdisciplinary collaboration.

Language: Английский

---

Carbon storage simulation and analysis in Beijing-Tianjin-Hebei region based on CA-plus model under dual-carbon background

Geomatics Natural Hazards and Risk, Journal Year: 2023, Volume and Issue: 14(1)

Published: Feb. 13, 2023

Previous studies on carbon storage simulation had ignored the difference of intensity among various vegetation types inner same land use. In this paper, The PLUS model was used to predict use change under multi-scenarios from 2030 2060, and type data were supplemented by CA obtain cover-vegetation datasets 2030-2060. Combined with density table type, future during 2030-2060 in Beijing-Tianjin-Hebei region analyzed. main conclusions as follows: (1) spatial distribution showed a pattern 'high northeast-southwest low southeast-northwest'; (2) 1990-2020 decreasing trend; (3) During 2030-2060, continuous trend absence policy intervention, while that ecological protection farmland scenarios an increasing (4) Under different development scenarios, there obvious significances distribution.

Language: Английский

---

The salinization process and its response to the combined processes of climate change–human activity in the Yellow River Delta between 1984 and 2022

CATENA, Journal Year: 2023, Volume and Issue: 231, P. 107301 - 107301

Published: June 27, 2023

Language: Английский

---

Analysis of spatiotemporal heterogeneity and influencing factors of soil erosion in a typical erosion zone of the southern red soil region, China

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110590 - 110590

Published: July 3, 2023

The southern red soil region (SRSR) of China, a that is environmentally sensitive, suffers severe erosion (SE) as result climate change and human activity. factors driving SE changes in the SRSR China under changing settings have, however, only been subject small number research. Changting County typical area China. spatiotemporal variation characteristics from 2000 to 2020 were investigated using revised universal loss equation (RUSLE), while dominant influencing dynamic analyzed optimal parametric geographical detector (OPGD) logarithmic mean Divisia Index (LMDI). results showed average annual modulus shows decreasing trend, with decreased 10.00 t·hm−2·a−1 3.38 2020. Slight intensity was class, accounting for more than 75% total area, proportion trending upwards. Natural anthropogenic significant effects on spatial SE, which land use vegetation cover main distribution SE. Furthermore, interaction between these two explained greatly mitigation mainly attributed increase following implementation various ecological projects, contributing reduction by 68.7%. In addition, types rainfall amounts also played positive roles reducing showing contributions 20.2% 11.1%, respectively.

Language: Английский

---

Study on the spatial–temporal evolution and driving mechanism of urban land green use efficiency in the Yellow River Basin cities

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110672 - 110672

Published: July 21, 2023

Under the current social background of green, sustainable, and high-quality development, countries regions have increasingly begun to regard green development as a major goal their economic plans. If evaluation urban land use efficiency continues be based only on outputs, such research will not conform situation. Therefore, this paper introduces negative impacts, environmental pollution, into system, using Super-EBM model measure (ULGUE) Yellow River Basin (YRB) panel data from 2011 2019. Exploratory spatial analysis, kernel density estimation, trend surface analysis were used study spatial–temporal evolution characteristics ULGUE, GTWR was explore potential driving mechanisms. The overall ULGUE remained relatively flat 2015, before showing climbing growth in post-2015 period; at sub-basin level, midstream area significantly higher than that downstream area, slightly upstream but rate increase other areas. aggregation degree showed an increasing followed by decreasing trend, end period, it still its initial level. “polarization–non-differentiation–polarization” trajectory, with highest gradually shifting northwest central region. Although factors vary between different cities, general, roles technology input pollution emission increased. This provides scientific reference for YRB supports optimal allocation resources regional coordinated development.

Language: Английский

---

Remote Data for Mapping and Monitoring Coastal Phenomena and Parameters: A Systematic Review

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(3), P. 446 - 446

Published: Jan. 23, 2024

Since 1971, remote sensing techniques have been used to map and monitor phenomena parameters of the coastal zone. However, updated reviews only considered one phenomenon, parameter, data source, platform, or geographic region. No review has offered an overview that can be accurately mapped monitored with data. This systematic was performed achieve this purpose. A total 15,141 papers published from January 2021 June 2023 were identified. The 1475 most cited screened, 502 eligible included. Web Science Scopus databases searched using all possible combinations between two groups keywords: geographical names in areas platforms. demonstrated that, date, many (103) (39) (e.g., coastline land use cover changes, climate change, urban sprawl). Moreover, authors validated 91% retrieved parameters, 39 1158 times (88% combined together other parameters), 75% over time, 69% several compared results each available products. They obtained 48% different methods, their 17% GIS model techniques. In conclusion, addressed requirements needed more effectively analyze employing integrated approaches: they data, merged

Language: Английский

---

Spatiotemporal variation and prediction of NPP in Beijing-Tianjin-Hebei region by coupling PLUS and CASA models

Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102620 - 102620

Published: May 1, 2024

Vegetation productivity is crucial for human production and livelihoods. Understanding net primary (NPP) in historical contexts predicting its future fluctuations imperative assessing the environmental sustainability of a region. However, relatively few researches have been conducted on NPP, requiring further development refinement NPP prediction methods models. This study introduces novel approach that discretely couples PLUS CASA models prediction, it validates applicability this research area. The objective our to analyze spatiotemporal patterns change Beijing-Tianjin-Hebei (BTH) region from 2001 2020, predict under three different climate scenarios (SSP 1-2.6, SSP 2-4.5, 5-8.5) 2030, identify an appropriate path results indicate:(1) From area has shown gradual improvement trend maintained certain spatial distribution pattern general. (2) discovered correlation coefficient 0.83 RMSE 102.86 between predicted actual 2020. suggests method introduced suitable (3) decline 2030 compared with 2020 all scenarios. Moreover, 1-2.6 scenario, representing low-emission BTH other sheds light variations over past 20 years next 10 years, offering scientific basis relevant departments formulate policies.

Language: Английский

---

Salt-tolerant plant growth-promoting bacteria as a versatile tool for combating salt stress in crop plants

Archives of Microbiology, Journal Year: 2024, Volume and Issue: 206(8)

Published: July 5, 2024

Language: Английский

---

Quantifying the nonlinear response of vegetation greening to driving factors in Longnan of China based on machine learning algorithm

Ecological Indicators, Journal Year: 2023, Volume and Issue: 151, P. 110277 - 110277

Published: April 27, 2023

The main influencing factors and their nonlinear effects on the changes of vegetation in China’s mountainous areas under interaction different are not yet clear, comprehending evolutionary trends driving mechanisms is crucial to reveal ecosystem structure function. In this study, trend analysis (M−K, T-S EEMD) combined with machine learning algorithm, namely Boosted Regression Tree model (BRT), were used quantify responses thresholds for bioclimatic variables, topography, soil properties anthropogenic Longnan. results showed that clearly confirm increasing at multiple spatio-temporal scales. BRT indicated total precipitation (bio12, 15.22%), land use (LUCC, 12.68%), elevation (DEM, 11.20%), population density (Pd, 9.20%) more important dominant greening. Bioclimatic variables found revealed climate clearly. addition, selected have response relationships greening specific thresholds. Among them, cropland, grassland forestland can promote However, GDP, Pd, DEM, bio12, mean diurnal range temperature seasonality (bio2, bio4) exceed threshold significantly inhibit growth. drivers behind change patterns, which obvious exploring areas. This study provided an reference better revealing between semi-humid zone East Asia even globally.

Language: Английский

---

Spatial–Temporal Changes and Prediction of Carbon Storage in the Tibetan Plateau Based on PLUS-InVEST Model

Forests, Journal Year: 2023, Volume and Issue: 14(7), P. 1352 - 1352

Published: June 30, 2023

The changes in the recent and future spatial–temporal patterns of carbon storage Tibetan Plateau its dominant factors different periods were unclear, conducive to optimizing spatial layout land. Exploring temporal terrestrial ecosystem their influencing during a long study period had important theoretical practical significance for achieving goal neutrality. In this study, Integrated Valuation Ecosystem Services Trade-offs model (InVEST) was used analyze based on vegetation-type data 2000–2020. Path-generating Land-Use Simulation (PLUS) then predict distribution 2030 2060 under inertial development, farmland protection ecology priority scenarios. results showed that: (1) degradation vegetation types reduced period. During 2000–2020, desert shrub non-vegetation area expanded by 63.21% 13.35%, respectively, while deciduous scrub, mixed forest low coverage grassland decreased accordingly. decreasing trend 0.37 × 106 t. (2) consistent with that types. (3) 2060, constraint ecological reduction smallest, at 0.01 t 0.16 t, respectively. Under largest reduction, 0.12 0.43 (4) single factor greatest impacts FVC (vegetation coverage), q values 0.616, 0.619 0.567, interactive effects mainly nonlinear enhancement double-factor enhancement. impact DEM (Digital Elevation Model), 0.94, 0.92 0.90, Therefore, land high should be protected expansion areas restricted planning improve level achieve

Language: Английский

---