Increasing Optimum Temperature of Vegetation Activity Over the Past Four Decades DOI Creative Commons
Yiheng Wang, Sangeeta Sarmah, Mrinal Singha

et al.

Earth s Future, Journal Year: 2024, Volume and Issue: 12(10)

Published: Oct. 1, 2024

Abstract Over the past four decades, global temperatures have increased more rapidly than before, potentially reducing vegetation activity if exceed optimum temperature (T opt ). However, plants capacity to acclimate rising by adjusting T , thereby maintaining or even enhancing photosynthesis and carbon uptake. Despite this, it remains unclear how of changes over time what extent can current changes. In this study, we evaluated temporal trends thermal acclimation magnitudes globally using three remote‐sensed indices eddy‐covariance observations gross primary productivity from 1982 2020. We found that has at an average rate 0.63°C per decade decades. The increase in closely tracked rise annual maximum daily mean max ), indicating occurred widely across globe. Globally, magnitude 0.38°C 1°C . Notably, polar continental regions exhibited highest magnitudes, while arid areas showed lowest. Additionally, was positively affected interannual variability negatively soil moisture vapor pressure deficits. Our findings indicate terrestrial ecosystems acclimated climate warming with varying degrees, suggesting a greater potential for land Moreover, these results highlight necessity earth system models integrate better forecast cycle.

Language: Английский

Carbon stock inversion study of a carbon peaking pilot urban combining machine learning and Landsat images DOI Creative Commons
Kui Yang, Peng Zhou,

Jingdong Wu

et al.

Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111657 - 111657

Published: Feb. 1, 2024

Global warming is a significant challenge, and carbon stocks in terrestrial ecosystems are crucial for reducing the greenhouse effect increasing sinks. A study was conducted Zhengzhou City from 2000 to 2020 using Landsat image spectral reflectance analyze changes stock. Environmental variables such as surface moisture, salinity, vegetation index, brightness, soil texture were constructed. Multiple linear regression (MLR), support vector machine (SVR), random forest (RFR), long short-term memory (LSTM) models used invert The results showed that NDCS constructed Landsat's blue band NIR band, best inversion variable stock, with clay index (CI) playing primary role. LSTM algorithm had fitting on an R2 of 0.84 RMSE 3.56. stock decreased by 13.93% between 2020, possibly due large-scale reduction arable land. Future land-use planning should focus protecting land, optimizing patterns, enhancing ecosystem's sequestration capacity.

Language: Английский

Citations

9
Enhanced interannual variability of the terrestrial carbon sink in China under high emissions DOI Creative Commons

Han Wu,

Li Zhang, Honglin He

et al.

Environmental Research Letters, Journal Year: 2025, Volume and Issue: 20(2), P. 024033 - 024033

Published: Jan. 24, 2025

Abstract Interannual variability (IAV) of terrestrial carbon uptake is a major contributor to the variation atmospheric CO 2 . With influence East Asian monsoon, future climate would significantly increase in China. However, how these changes will modulate IAV China’s sinks remains unclear. Here, we analyzed net ecosystem productivity (NEP ) and investigated potential impacts change under various scenarios during 21st century using outputs from nine Coupled Model Intercomparison Project Phase 6 models. The results reveal that NEP be enhanced higher emissions 2015 2100. standard deviation national SSP585 scenario rises by 12% compared with SSP126. most prominent contribution this enhancement total comes larger summer (10%), particularly subtropical–tropical monsoonal zone Moreover, largely attributed intensified temperature precipitation zones as well heightened sensitivity them, especially ecosystems zone. Compared precipitation, also plays an important role scenarios. Our highlight crucial fluctuations monsoon systems on sink urgency reducing uncertainties Earth system models predicting both regions responses cycling processes temperature.

Language: Английский

Citations

0
Mature stands of exotic tree species consume less water while sequester comparable carbon as those of native tree species: A 4-year monitoring study in South China DOI
Yanqiong Li, Liwei Zhu,

Huiying Ye

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133542 - 133542

Published: May 1, 2025

Language: Английский

Citations

0
Quantitative Assessment of the Impact of the Three-North Shelter Forest Program on Vegetation Net Primary Productivity over the Past Two Decades and Its Environmental Benefits in China DOI Open Access
Junling Zhang, Yifei Zhang

Sustainability, Journal Year: 2024, Volume and Issue: 16(9), P. 3656 - 3656

Published: April 26, 2024

Vegetation net primary productivity (NPP) is a crucial indicator for assessing the carbon balance in terrestrial ecosystems. Qualitative and comparative research on NPP influenced by human activities, climate change, their interactions remains insufficient. The Three-North Shelter Forest Program (TNSFP), initiated 1978, provides valuable reference such investigations. This study employs an improved residual trend method to analyze spatiotemporal patterns, trends, driving factors of vegetation during second phase (2001–2020), as well TNSFP’s contribution NPP. results indicate that (1) from 2001 2020, overall exhibited significant fluctuating upward at rate 3.69 g C/m−2 annually; (2) precipitation, accounting 1.527 C/m−2, had more impact compared temperature (0.002 C/m−2). Climate (76%) significantly region than activities (24%). In last decade (2011–2020), decreased 67%, while activity increased seven percentage points previous (2001–2010); (3) 2001–2020, TNSFP contributed 10.9% total productivity, approximately 2.6% contribution; (4) After was enacted, PM2.5 levels average −0.57 μg/m−3/a−1. Concurrently, soil conservation 6.57 t/km2 14.37 2020.

Language: Английский

Citations

3
On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results DOI Creative Commons
Gab Abramowitz, Anna Ukkola, Sanaa Hobeichi

et al.

Biogeosciences, Journal Year: 2024, Volume and Issue: 21(23), P. 5517 - 5538

Published: Dec. 12, 2024

Abstract. Accurate representation of the turbulent exchange carbon, water, and heat between land surface atmosphere is critical for modelling global energy, carbon cycles in both future climate projections weather forecasts. Evaluation models' ability to do this performed a wide range simulation environments, often without explicit consideration degree observational constraint or uncertainty typically quantification benchmark performance expectations. We describe Model Intercomparison Project (MIP) that attempts resolve these shortcomings, comparing flux predictions around 20 different models provided with situ meteorological forcing evaluated measured fluxes using quality-controlled data from 170 eddy-covariance-based tower sites. Predictions seven out-of-sample empirical are used quantify information available their so potential model improvement. Sites unusual behaviour, complicated processes, poor quality, uncommon magnitude more difficult predict mechanistic models, providing means fairer assessment performance. When examining uncertainty, does not appear improve low-turbulence periods energy-balance-corrected data, indeed some results raise questions about whether energy balance correction process itself appropriate. In all cases broadly consistent, simple including linear regression, comfortably outperforming models. but two cases, latent net ecosystem CO2 better predicted by than sensible flux, despite it seeming have fewer physical controlling processes. Land implemented Earth system also perform notably stand-alone (including demographic) at least terms examined here. The approach we outline enables isolation locations conditions under which developers can know improve, allowing pathways discrete parameterisations be identified targeted development.

Language: Английский

Citations

2
Zinc oxide application alleviates arsenic-mediated oxidative stress via physio-biochemical mechanism in rice DOI
Sanaullah Jalil, Muhammad Mudassir Nazir,

Mohamed A. Eweda

et al.

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(23), P. 34200 - 34213

Published: May 3, 2024

Language: Английский

Citations

0
Increasing Optimum Temperature of Vegetation Activity Over the Past Four Decades DOI Creative Commons
Yiheng Wang, Sangeeta Sarmah, Mrinal Singha

et al.

Earth s Future, Journal Year: 2024, Volume and Issue: 12(10)

Published: Oct. 1, 2024

Abstract Over the past four decades, global temperatures have increased more rapidly than before, potentially reducing vegetation activity if exceed optimum temperature (T opt ). However, plants capacity to acclimate rising by adjusting T , thereby maintaining or even enhancing photosynthesis and carbon uptake. Despite this, it remains unclear how of changes over time what extent can current changes. In this study, we evaluated temporal trends thermal acclimation magnitudes globally using three remote‐sensed indices eddy‐covariance observations gross primary productivity from 1982 2020. We found that has at an average rate 0.63°C per decade decades. The increase in closely tracked rise annual maximum daily mean max ), indicating occurred widely across globe. Globally, magnitude 0.38°C 1°C . Notably, polar continental regions exhibited highest magnitudes, while arid areas showed lowest. Additionally, was positively affected interannual variability negatively soil moisture vapor pressure deficits. Our findings indicate terrestrial ecosystems acclimated climate warming with varying degrees, suggesting a greater potential for land Moreover, these results highlight necessity earth system models integrate better forecast cycle.

Language: Английский

Citations

0