Effects of land use and cover change (LUCC) on terrestrial carbon stocks in China between 2000 and 2018

Resources Conservation and Recycling, Journal Year: 2022, Volume and Issue: 182, P. 106333 - 106333

Published: April 13, 2022

Language: Английский

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Understanding Spatio-Temporal Patterns of Land Use/Land Cover Change under Urbanization in Wuhan, China, 2000–2019

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(16), P. 3331 - 3331

Published: Aug. 23, 2021

Exploring land use structure and dynamics is critical for urban planning management. This study attempts to understand the Wuhan development mode since beginning of 21st century by profoundly investigating spatio-temporal patterns use/land cover (LULC) change under urbanization in Wuhan, China, from 2000 2019, based on continuous time series mapping using Landsat observations with a support vector machine. The results indicated rapid urbanization, large LULC changes triggered. built-up area increased 982.66 km2 (228%) at expense reduction 717.14 (12%) cropland, which threatens food security some degree. In addition, natural habitat shrank extent, reductions 182.52 km2, 23.92 64.95 water, forest grassland, respectively. Generally, experienced typical course that first sped up, then slowed down accelerated again, an obvious internal imbalance between 13 administrative districts. Hanyang, Hongshan Dongxihu specifically presented more significant dynamicity, Hanyang being active center. Over past 19 years, mainly developed toward east south, gravity center transferred northwest southeast Jiang’an district. Lastly, predicted allocation 2029 patch-generating simulation (PLUS) model, future landscape dynamic pattern was further explored, result shows rise northern suburbs, provides meaningful guidance planners managers promote sustainability.

Language: Английский

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Fewer butterflies seen by community scientists across the warming and drying landscapes of the American West

Science, Journal Year: 2021, Volume and Issue: 371(6533), P. 1042 - 1045

Published: March 5, 2021

Uncertainty remains regarding the role of anthropogenic climate change in declining insect populations, partly because our understanding biotic response to is often complicated by habitat loss and degradation among other compounding stressors. We addressed this challenge integrating expert community scientist datasets that include decades monitoring across more than 70 locations spanning western United States. found a 1.6% annual reduction number individual butterflies observed over past four decades, associated particular with warming during fall months. The pervasive declines we report advance impacts suggest new approach needed for butterfly conservation region, focused on suites species shared or host associations.

Language: Английский

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Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives

Information Fusion, Journal Year: 2022, Volume and Issue: 86-87, P. 44 - 75

Published: June 25, 2022

Language: Английский

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Per- and Polyfluoroalkyl Substance (PFAS) Transport from Groundwater to Streams near a PFAS Manufacturing Facility in North Carolina, USA

Environmental Science & Technology, Journal Year: 2021, Volume and Issue: 55(9), P. 5848 - 5856

Published: April 2, 2021

We quantified per- and polyfluoroalkyl substance (PFAS) transport from groundwater to five tributaries of the Cape Fear River near a PFAS manufacturing facility in North Carolina (USA). Hydrologic data were coupled quantify fluxes tributaries. Up 29 analyzed, including perfluoroalkyl acids recently identified fluoroethers. Total (ΣPFAS) was 20–4773 ng/L (mean = 1863 ng/L); range for stream water 426–3617 1717 ng/L). Eight constituted 98% ΣPFAS; perfluoro-2-(perfluoromethoxy)propanoic acid (PMPA) hexafluoropropylene oxide dimer (GenX) accounted 61%. For discharge one tributary, values estimated measurements (18 ± 4 kg/yr) similar those streambeds (22–25 5 kg/yr). At baseflow, 32 7 kg/yr discharged tributaries, eventually reaching River. Given emission timeline at site, suggest abundant fluoroethers moved through subsurface streams ≪50 yr. Discharge contaminated may lead long-term contamination surface impacts on downstream drinking supplies. This work addresses gap literature: quantifying mass transfer between using field data.

Language: Английский

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Remote sensing of land change: A multifaceted perspective

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 282, P. 113266 - 113266

Published: Oct. 7, 2022

The discipline of land change science has been evolving rapidly in the past decades. Remote sensing played a major role one essential components science, which includes observation, monitoring, and characterization change. In this paper, we proposed new framework multifaceted view through lens remote recommended five facets including location, time, target, metric, agent. We also evaluated impacts spatial, spectral, temporal, angular, data-integration domains remotely sensed data on observing, different change, as well discussed some current products. recommend clarifying specific facet being studied reporting multiple or all products, shifting focus from cover to metric agent, integrating social multi-sensor datasets for deeper fuller understanding recognizing limitations weaknesses studies.

Language: Английский

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Urban green space alone is not enough: A landscape analysis linking the spatial distribution of urban green space to mental health in the city of Chicago

Landscape and Urban Planning, Journal Year: 2021, Volume and Issue: 218, P. 104309 - 104309

Published: Nov. 22, 2021

Language: Английский

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GWL_FCS30: a global 30 m wetland map with a fine classification system using multi-sourced and time-series remote sensing imagery in 2020

Earth system science data, Journal Year: 2023, Volume and Issue: 15(1), P. 265 - 293

Published: Jan. 17, 2023

Abstract. Wetlands, often called the “kidneys of earth”, play an important role in maintaining ecological balance, conserving water resources, replenishing groundwater and controlling soil erosion. Wetland mapping is very challenging because its complicated temporal dynamics large spatial spectral heterogeneity. An accurate global 30 m wetland dataset that can simultaneously cover inland coastal zones lacking. This study proposes a novel method for by combining automatic sample extraction method, existing multi-sourced products, satellite time-series images stratified classification strategy. approach allowed generation first map with fine system (GWL_FCS30), including five sub-categories (permanent water, swamp, marsh, flooded flat saline) three tidal (mangrove, salt marsh flats), which was developed using Google Earth Engine platform. We combined expert knowledge, training refinement rules visual interpretation to generate geographically distributed samples. Second, we integrated Landsat reflectance products Sentinel-1 synthetic aperture radar (SAR) imagery various water-level phenological information capture heterogeneity wetlands. Third, applied strategy local adaptive random forest models produce at each 5∘×5∘geographical tile 2020. Lastly, GWL_FCS30, mosaicked 961 5∘×5∘ regional maps, validated 25 708 validation samples, achieved overall accuracy 86.44 % kappa coefficient 0.822. The cross-comparisons other demonstrated GWL_FCS30 performed better capturing patterns wetlands had significant advantages over diversity sub-categories. statistical analysis showed area reached 6.38 million km2, 6.03 km2 0.35 wetlands, approximately 72.96 were poleward 40∘ N. Therefore, conclude proposed suitable large-area product has potential provide vital support management. 2020 freely available https://doi.org/10.5281/zenodo.7340516 (Liu et al., 2022).

Language: Английский

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GLC_FCS30D: the first global 30 m land-cover dynamics monitoring product with a fine classification system for the period from 1985 to 2022 generated using dense-time-series Landsat imagery and the continuous change-detection method

Earth system science data, Journal Year: 2024, Volume and Issue: 16(3), P. 1353 - 1381

Published: March 15, 2024

Abstract. Land-cover change has been identified as an important cause or driving force of global climate and is a significant research topic. Over the past few decades, land-cover mapping progressed; however, long-time-series land-cover-change monitoring data are still sparse, especially those at 30 m resolution. In this study, we describe GLC_FCS30D, novel dynamics dataset containing 35 subcategories covering period 1985–2022 in 26 time steps (maps were updated every 5 years before 2000 annually after 2000). GLC_FCS30D developed using continuous detection all available Landsat imagery based on Google Earth Engine platform. Specifically, first take advantage change-detection model full series observations to capture points changed pixels identify temporally stable areas. Then, apply spatiotemporal refinement method derive globally distributed high-confidence training samples from these Next, local adaptive classification models used update information for pixels, temporal-consistency optimization algorithm adopted improve their temporal stability suppress some false changes. Further, product validated 84 526 validation 2020. It achieves overall accuracy 80.88 % (±0.27 %) basic system (10 major types) 73.04 (±0.30 LCCS (Land Cover Classification System) level-1 (17 types). Meanwhile, two third-party time-series datasets United States Europe Union also collected analyzing variations, results show that offers terms variation across mean accuracies 79.50 (±0.50 81.91 (±0.09 over regions. Lastly, draw conclusions about dataset; namely, forest cropland variations have dominated 37 years, net loss forests reached 2.5 million km2, gain area approximately 1.3 km2. Therefore, accurate land-cover-dynamics benefits its diverse system, high spatial resolution, long span (1985–2022); thus, it will effectively support promote sustainable development analysis. The via https://doi.org/10.5281/zenodo.8239305 (Liu et al., 2023).

Language: Английский

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Racial, Ethnic, and Socioeconomic Disparities in Multiple Measures of Blue and Green Spaces in the United States

Environmental Health Perspectives, Journal Year: 2023, Volume and Issue: 131(1)

Published: Jan. 1, 2023

BACKGROUND: Several studies have evaluated whether the distribution of natural environments differs between marginalized and privileged neighborhoods.However, most restricted their analyses to a single or handful cities used different environment measures.OBJECTIVES: We are inequitably distributed based on socioeconomic status (SES) race/ethnicity in contiguous United States.METHODS: obtained SES data (2015-2019) for all U.S. Census tracts.For each tract, we calculated Normalized Different Vegetation Index (NDVI) 2020, NatureScore (a proprietary measure quantity quality elements) 2019, park cover blue space 1984-2018.We generalized additive models with adjustment potential confounders spatial autocorrelation evaluate associations NDVI, NatureScore, cover, odds containing tracts (n = 71,532) urban 45,338).To compare effect estimates, standardized so that beta coefficients presented percentage increase decrease standard deviation (SD).RESULTS: Tracts higher had space.For example, highest median household income quintile NDVI [44.8% SD (95% CI: 42.8, 46.8)] [16.2% 13.5, 19.0)] compared lowest quintile.Across tracts, lower non-Hispanic White individuals Hispanic were associated NatureScore.In observed weak positive Black cover; did not find any clear Hispanics.

Language: Английский

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