Global Land Use Change and Its Impact on Greenhouse Gas Emissions DOI Creative Commons
Lidong Li, Tala Awada, Yao Zhang

et al.

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(12)

Published: Nov. 29, 2024

ABSTRACT Anthropogenic activities have altered approximately two‐thirds of the Earth's land surface. Urbanization, industrialization, agricultural expansion, and deforestation are increasingly impacting terrestrial landscapes, leading to shifts areas in artificial surface (i.e., humanmade), cropland, pasture, forest, barren land. Land use patterns associated greenhouse gas (GHG) emissions play a critical role global climate change. Here we synthesized 29 years historical data demonstrated how impacts GHG using structural equation modeling. We then obtained predictive estimates future deep learning model. Our results show that, from 1992 2020, covered by cropland expanded 133% 6% because population growth socioeconomic development, resulting 4.0% 3.8% declines pasture forest areas, respectively. was significantly with ( p < 0.05). Artificial dominates emissions, followed The increase surfaces has driven up through energy consumption. Conversely, improved management practices contributed mitigating emissions. Forest, on other hand, serves as sink GHG. In total, increased 31 46 GtCO 2 eq 2020. Looking ahead, if current trends continue at same rates, our model projects that will reach 76 ± 8 2050. contrast, reducing rates change half could limit 60 3 Monitoring analyzing these projections allow better understanding potential various scenarios planning for sustainable future.

Language: Английский

Soil Organic Carbon Retrieval Using a Machine Learning Approach from Satellite and Environmental Covariates in the Lower Brazos River Watershed, Texas, USA DOI Creative Commons
Birhan Getachew Tikuye, Ram L. Ray

Applied Computing and Geosciences, Journal Year: 2025, Volume and Issue: unknown, P. 100252 - 100252

Published: May 1, 2025

Language: Английский

Citations

0
Carbon Balance in Soils under Conifers and Broadleaved Species within La Sierra, Dominican Republic DOI Open Access
Santiago W. Bueno-López, Luis R. Caraballo-Rojas,

Esclaudys Pérez-Gonzales

et al.

Published: July 15, 2024

Our research assesses the effects of four forest species, namely Swietenia macrophylla King, mahogany (L.) Jack., Pinus occidentalis Swartz, and caribaea Morelet var. Caribaea, on organic carbon (OC) dynamics dioxide equivalent balance (BCO2 Eq.) in soils beneath these species. Reforestation projects study region cover 1,200, 543, 770, 1,152 hectares, with respectively, being most relevant species reforestation within country. To determine BCO2 Eq. per unit area, we compared greenhouse gas (GHG) fluxes (CO2), methane (CH4), nitrous oxide (N2O) OC reserves found mineral soil to a depth 30 cm litter. For 18 months, conducted field measurements sixteen stands, for each results indicate that S. absorbed highest amount CO2, while released into atmosphere. from was -23.19 metric tons CO2 ha-1 year-1, P. occidentalis, mahogany, caribaea, corresponding quantities were -3.838, -2.299, +0.982, respectively. During measurement period, under macrophylla, net sinks Eq., behaved as source. The absorption rate atmosphere approximately 6, 10, 24 times higher when respective rates mahagony.

Language: Английский

Citations

1
Global Land Use Change and Its Impact on Greenhouse Gas Emissions DOI Creative Commons
Lidong Li, Tala Awada, Yao Zhang

et al.

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(12)

Published: Nov. 29, 2024

ABSTRACT Anthropogenic activities have altered approximately two‐thirds of the Earth's land surface. Urbanization, industrialization, agricultural expansion, and deforestation are increasingly impacting terrestrial landscapes, leading to shifts areas in artificial surface (i.e., humanmade), cropland, pasture, forest, barren land. Land use patterns associated greenhouse gas (GHG) emissions play a critical role global climate change. Here we synthesized 29 years historical data demonstrated how impacts GHG using structural equation modeling. We then obtained predictive estimates future deep learning model. Our results show that, from 1992 2020, covered by cropland expanded 133% 6% because population growth socioeconomic development, resulting 4.0% 3.8% declines pasture forest areas, respectively. was significantly with ( p < 0.05). Artificial dominates emissions, followed The increase surfaces has driven up through energy consumption. Conversely, improved management practices contributed mitigating emissions. Forest, on other hand, serves as sink GHG. In total, increased 31 46 GtCO 2 eq 2020. Looking ahead, if current trends continue at same rates, our model projects that will reach 76 ± 8 2050. contrast, reducing rates change half could limit 60 3 Monitoring analyzing these projections allow better understanding potential various scenarios planning for sustainable future.

Language: Английский

Citations

1