Advances in Miscanthus × Giganteus Planting Techniques May Increase Carbon Uptake in the Establishment Year DOI Creative Commons
Guler Aslan‐Sungur, Nicholas N. Boersma, Caitlin E. Moore

et al.

GCB Bioenergy, Journal Year: 2024, Volume and Issue: 17(1)

Published: Nov. 28, 2024

Agricultural lands hold significant potential for CO

Climate Change and Rising CO2 Amplify the Impact of Land Use/Cover Change on Carbon Budget Differentially Across China DOI Creative Commons
Binbin Huang, Fei Lu, Binfeng Sun

et al.

Earth s Future, Journal Year: 2023, Volume and Issue: 11(3)

Published: March 1, 2023

Abstract Given the increasing attention to climate change and rising CO 2 (CCRC) in global carbon cycle, we remain unclear about how China's unprecedented land use/cover (LUCC) budget has been affected by CCRC recent decades. Here, combined remotely sensed (LUC) datasets Biome‐BGCMuSo model address this issue setting different scenarios. We found that LUCC led sink increase approximately 104.24 ± 46.52 Tg C without considering during 1990–2020. Carbon sinks contributed afforestation (374.97 36.50 C) grassland planting (15.75 9.11 offset other LUC trajectories caused loss (286.47 32.18 C, 87.33% owing agricultural reclamation). were amplified ∼20% under at national scale. This rate increased 106.03% northeast China but decreased −26.68% southern China. 85.11% northeastern was only 26.35% emissions due reclamation 103.20% 25.09% Our results demonstrated ecological restoration projects are efficient enhancing mitigating emissions. Divergent amplifying/reducing effect of across geographic regions implied sensitivity varied with backgrounds. Land management strategies should be implemented spatial heterogeneity amplify decrease environment.

Language: Английский

Citations

9

Ecohydrological insight: Solar farms facilitate carbon sink enhancement in drylands DOI
Chuandong Wu, Hu Liu, Yang Yu

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 342, P. 118304 - 118304

Published: June 3, 2023

Language: Английский

Citations

9

Climate warming negatively affects plant water-use efficiency in a seasonal hydroperiod wetland DOI
Siyu Wei, Xiaojing Chu, Baoyu Sun

et al.

Water Research, Journal Year: 2023, Volume and Issue: 242, P. 120246 - 120246

Published: June 18, 2023

Language: Английский

Citations

9

Aerodynamic effects cause higher forest evapotranspiration and water yield reductions after wildfires in tall forests DOI Creative Commons
Naika Meili, Jason Beringer, Jiacheng Zhao

et al.

Global Change Biology, Journal Year: 2023, Volume and Issue: 30(1)

Published: Nov. 2, 2023

Abstract Wildfires are increasing in frequency, intensity, and extent globally due to climate change they can alter forest composition, structure, function. The destruction subsequent regrowth of young vegetation modify the ecosystem evapotranspiration downstream water availability. However, response recovery on hydrology is not well known with even sign yield changes following fires being uncertain across globe. Here, we quantify effects after catastrophic wildfires runoff world's tallest angiosperm ( Eucalyptus regnans ) Australia. We combine eddy covariance measurements including pre‐ post‐fire periods, mechanistic ecohydrological modeling then extend analysis spatially multiple eucalypt‐dominated forests south‐eastern Australia by utilizing remote sensing. find a fast which reaches exceeds pre‐fire values within 2 years bushfire, result confirmed data, sensing, modeling. Such likely generalizable tall eucalypt as shown Once variability discounted, shows rates from recovering reach peak +20% 3 post‐fire. As result, modeled decreases substantially. Contrary previous research, that increase largely caused aerodynamic much shorter height leading higher surface temperature, humidity gradients therefore increased transpiration. increases constrained energy limitations. Our an warming could occur many parts world experiencing disturbances.

Language: Английский

Citations

7

Eddy covariance measurements reveal a decreased carbon sequestration strength 2010–2022 in an African semiarid savanna DOI Creative Commons
Aleksander Więckowski,

Patrik Vestin,

Jonas Ardö

et al.

Global Change Biology, Journal Year: 2024, Volume and Issue: 30(9)

Published: Sept. 1, 2024

Abstract Monitoring the changes of ecosystem functioning is pivotal for understanding global carbon cycle. Despite its size and contribution to cycle, Africa largely understudied in regard ongoing their responses climate change. One reasons lack long‐term situ data. Here, we use eddy covariance quantify net exchange (NEE) components—gross primary production (GPP) respiration ( R eco ) years 2010–2022 a Sahelian semiarid savanna study trends fluxes. Significant negative were found NEE (12.7 ± 2.8 g C m 2 year −1 ), GPP (39.6 7.9 (32.2 8.9 ). We that decreased by 60% over period, this decrease was mainly caused stronger rainy season than . Additionally, observed strong increasing vapor pressure deficit, but no rainfall or soil water content. Thus, proposed explanation sink strength atmospheric dryness. The warming Sahel, coupled with evaporative demand, may thus lead levels across biome, lowering CO sequestration.

Language: Английский

Citations

2

Vegetation optimality explains the convergence of catchments on the Budyko curve DOI Creative Commons
Remko C. Nijzink, Stanislaus J. Schymanski

Hydrology and earth system sciences, Journal Year: 2022, Volume and Issue: 26(24), P. 6289 - 6309

Published: Dec. 14, 2022

Abstract. The Budyko framework puts the long-term mean annual evapotranspiration (ET) of a catchment in relation to its maximum possible value determined by conservation mass (ET cannot exceed precipitation) and energy can not net radiation) absence significant storage contributions. Most catchments plot relatively close this physical limit, which allowed development an empirical equation (often referred as curve) for estimating evaporation runoff from observed radiation precipitation. Parametric forms curve often use shape parameter, n, that is seen characteristic. However, satisfying explanation convergence self-organization around such still lacking. In study, we explore if vegetation optimality explain along how far n be Vegetation Optimality Model (VOM) optimizes properties behavior (e.g., rooting depths, cover, stomatal control) maximize difference between total carbon taken up atmosphere used maintenance plant tissues involved uptake, i.e., profit (NCP). This optimization entirely independent ET hence VOM does require calibration predicting ET. first step, was fully optimized atmospheric forcing at five flux tower sites North Australian Tropical Transect, well 36 additional locations near transect six catchments. addition, run without all sites, meaning precipitation partitioned into soil runoff. For comparison, three conceptual hydrological models (TUWmodel, GR4J, FLEX) were calibrated using Subsequently, emulated step changes climate multiplying (P) factors ranging 0.2 2 before running changing or model parameters, emulating invariant characteristics under changed climate. last re-optimized different P amounts, allowing adapt new situation. Eventually, curves fit adapting parameter results. carried out both multiple simultaneously each individual study site, thereby assuming site-specific runs tracked with realistic observations, whereas led significantly lower evaporative fractions unrealistically low values compared literature. When fitting catchments, (increasing decreasing P) (including models) except change P, brought back unperturbed catchment. runs, variation greater than within response multiplications factor 2. These findings suggest may space, accompanying remain constant conditions hypothesized literature, but fact emerges through adaptation climatic given setting. Moreover, results might initially increase suddenly reduced only slowly returns original, catchment-specific value, re-adjusts over decades centuries. constitute basis evaluation prediction responses shifts.

Language: Английский

Citations

9

Variation and attribution of energy distribution for salinized sunflower farmland in arid area DOI Creative Commons
Weishu Wang, Yao Rong, Xiaoqin Dai

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 297, P. 108833 - 108833

Published: April 23, 2024

Agricultural water resources consumption and soil salinity interact with the distribution of radiation energy in arid salinized farmland. Understanding temporal changes is necessary to enhance resource use efficiency. Based on two years monitoring fluxes a sunflower field, it was found that field were dependent available energy, dynamics strongly influenced by crop growth. As expected, moisture meteorological conditions main factors limiting latent heat (LE) relatively dry year, leaf area index showing more significant positive correlation LE under abundant moisture. Furthermore, path analysis revealed affected at budding flowering stages through negative regulation surface LE. The accumulation salt decreased (with Pearson coefficient −0.59 total effect −0.55), regulated sensible 0.27 0.31). Additionally, approximately 40 % actual evapotranspiration contributed groundwater, potentially influencing fluxes. Moreover, observed between albedo salinity, which might be another pathway distribution. Our findings are important understand during growth period area.

Language: Английский

Citations

1

Spatiotemporal Variability of Gross Primary Productivity in Türkiye: A Multi-Source and Multi-Method Assessment DOI Creative Commons
Eyyup Ensar Başakın, Paul C. Stoy, Mehmet Cüneyd Demirel

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(11), P. 1994 - 1994

Published: May 31, 2024

We investigated the spatiotemporal variability of remotely sensed gross primary productivity (GPP) over Türkiye based on MODIS, TL-LUE, GOSIF, MuSyQ, and PMLV2 GPP products. The differences in various products were assessed using Kruskal–Wallis Mann–Whitney U methods, long-term trends analyzed Modified Mann–Kendall (MMK), innovative trend analysis (ITA), empirical mode decomposition (EMD). Our results show that at least one product significantly differs from others seven geographic regions (χ2 values 50.8, 21.9, 76.9, 42.6, 149, 34.5, 168; p < 0.05), analyses reveal a significant increase all satellite-based latter half study period. Throughout year, average number months which each dataset showed increases across are 6.7, 8.1, 5.9, 9.6, 8.7 for PMLV2, respectively. ITA EMD methods provided additional insight into MMK test both visualizing detecting due to their graphical techniques. Overall, here suggest ‘greening’ Türkiye, consistent with findings global studies, but use different statistical approaches estimates creates interpretations how these have emerged. Ground stations, such as eddy covariance towers, can help further improve our understanding carbon cycle diverse ecosystem Türkiye.

Language: Английский

Citations

1

GPP of a Chinese Savanna Ecosystem during Different Phenological Phases Simulated from Harmonized Landsat and Sentinel-2 Data DOI Creative Commons
X.-Z. Zhang, Shuai Xie, Yiping Zhang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(18), P. 3475 - 3475

Published: Sept. 19, 2024

Savannas are widespread biomes with highly valued ecosystem services. To successfully manage savannas in the future, it is critical to better understand long-term dynamics of their productivity and phenology. However, accurate large-scale gross primary (GPP) estimation remains challenging because high spatial seasonal variations savanna GPP. China’s ecosystems constitute only a small part world’s ecologically fragile. studies on GPP phenological changes, while closely related climate change, remain scarce. Therefore, we simulated via satellite-based vegetation photosynthesis model (VPM) fine-resolution harmonized Landsat Sentinel-2 (HLS) imagery derived phenophases from phenocam images. From 2015 2018, compared HLS VPM (GPPHLS-VPM) simulations that Moderate-Resolution Imaging Spectroradiometer (MODIS) (GPPMODIS-VPM) estimates an eddy covariance (EC) flux tower (GPPEC) Yuanjiang, China. Moreover, consistency was validated for conventional MODIS product (MOD17A2). This study clearly revealed potential estimating Compared VPM, yielded more lower root-mean-square errors (RMSEs) slopes closer 1:1. Specifically, annual RMSE values were 1.54 (2015), 2.65 (2016), 2.64 (2017), 1.80 (2018), whereas those 3.04, 3.10, 2.62, 2.49, respectively. The 1.12, 1.80, 1.65, 1.27, indicating agreement EC data than 2.04, 2.51, 2.14, 1.54, suitably indicated during all phenophases, especially autumn green-down period. As first simulates involving compares observations Chinese ecosystems, our enables exploration different effective management conservation worldwide.

Language: Английский

Citations

1

Advancing Knowledge in Forest Water Use Efficiency Under Global Climate Change Through Scientometric Analysis DOI Open Access
Tanzeel Javaid Aini Farooqi, Muhammad Irfan, Xu Zhou

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(11), P. 1893 - 1893

Published: Oct. 27, 2024

Forests are critical in regulation of carbon and water cycles mitigation climate change. Forest water-use efficiency (WUE) refers to the ratio biomass produced (or assimilated carbon) amount used by forests, which indicates how effectively a forest utilizes achieve productivity. Climate change its impact on WUE important research directions that explore complex relationship between global environmental ecosystem dynamics. The intensification underscores need for an inclusive understanding use makes it crucial know forests balance resources, is essential effective management predicting responses This study aims comprehensively objectively analyze current trends future related response Our database included 1755 papers from Web Science Core Collection, spanning 2000 2023. analysis cooperative networks countries, authors, institutions, as well most frequently cited journals articles, keyword co-occurrence analysis, burst analysis. results showed top country, author, institution PR China, Prof. Dr. Jesús Julio Camarero Consejo Superior de Investigaciones Científicas (CSIC), Chinese Academy Sciences, respectively. leading journal this field “Global Change Biology”. Critical hot topics include gas exchange, modeling, altitudinal gradients, tree growth dynamics, net drivers, tropical nitrogen stoichiometry, Northern China plains, extreme drought conditions. Frontier have emerged recent years studies China’s Loess Plateau, stable isotopes, radial growth, gross primary productivity, Scots pine. insights vital researchers, decision-makers, forestry professionals aiming mitigate impacts overall health resilience. emphasizes importance sustained efforts collaboration addressing intricate challenges posed ecosystems.

Language: Английский

Citations

1