Assessing the Distribution and Driving Effects of Net Primary Productivity along an Elevation Gradient in Subtropical Regions of China

Forests, Journal Year: 2024, Volume and Issue: 15(2), P. 340 - 340

Published: Feb. 9, 2024

Globally, forest ecosystems, especially subtropical forests, play a central role in biogeochemical cycles and climate regulation, demonstrating their irreplaceable function. The region of China, characterized by its unique ecosystem, complex terrain, heterogeneity, diverse vegetation types, frequent human activities, underscores the importance in-depth study net primary productivity (NPP). This paper employs eddy covariance–light use efficiency (EC-LUE) model to quantitatively estimate gross (GPP) this from 2001 2018, followed an estimation actual (ANPP) using carbon (CUE). results showed that over these 18 years, annual average ANPP was 677.17 gC m−2 a−1, exhibiting overall increasing trend, particularly mountainous areas, reserves, cultivated lands northeastern plains, whereas significant decrease observed around urban agglomerations on southeast coast. Furthermore, Thornthwaite memorial applied calculate potential (PNPP), scenarios were set evaluate impact change activities area. It found areas where increased, both jointly influenced dynamics; with decreased ANPP, significant. Additionally, heterogeneous distribution across different altitudinal gradients driving effects various climatic factors analyzed. Finally, partial correlation analysis used examine relationships between temperature, precipitation, ANPP. indicated temperature precipitation have substantial growth region, yet extent influence shows considerable variation among areas. provides robust scientific basis for further research understanding dynamics ecosystems global cycle.

Language: Английский

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Evaluating net primary productivity dynamics and their response to land-use change in the loess plateau after the 'Grain for Green' program

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 360, P. 121112 - 121112

Published: May 10, 2024

Language: Английский

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Climate Change Decreased Net Ecosystem Productivity in the Arid Region of Central Asia

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(21), P. 4449 - 4449

Published: Nov. 5, 2021

Numerous studies have confirmed that climate change leads to a decrease in the net ecosystem productivity (NEP) of terrestrial ecosystems and alters regional carbon source/sink patterns. However, response mechanism NEP arid regions Central Asia remains unclear. Therefore, this study combined Carnegie–Ames–Stanford approach (CASA) empirical models estimate quantitatively evaluate sensitivity factors. The results show although primary (NPP) exhibits an increasing trend, it is not significant. Soil heterotrophic respiration (RH) has increased significantly, while decreased at rate 6.1 g C·m−2·10 a−1. Spatially, distribution significant increase RH consistent with NEP, which concentrated western southern Asia. Specifically, NPP more sensitive precipitation than temperature, whereas are temperature precipitation. annual contribution rates 28.79% 23.23%, respectively. Additionally, drought important impact on Drought intensified from 2001 2008, leading expansion source area since start 21st century, damaged Asian ecosystem. Varying degrees warming under different scenarios will further aggravate areas An improved understanding impacts critically required for sustainable development economy protection its natural environment. Our provide scientific reference construction Silk Road Economic Belt global emissions reduction.

Language: Английский

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Integrated machine learning reveals aquatic biological integrity patterns in semi-arid watersheds

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 359, P. 121054 - 121054

Published: May 1, 2024

Language: Английский

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Evolution of the hydro-ecological environment and its natural and anthropogenic causes during 1985–2019 in the Nenjiang River basin

The Science of The Total Environment, Journal Year: 2021, Volume and Issue: 799, P. 149256 - 149256

Published: July 24, 2021

Language: Английский

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A meta‐analysis reveals increases in soil organic carbon following the restoration and recovery of croplands in Southwest China

Ecological Applications, Journal Year: 2024, Volume and Issue: 34(3)

Published: Feb. 21, 2024

Abstract In China, the Grain for Green Program (GGP) is an ambitious project to convert croplands into natural vegetation, but exactly how changes in vegetation translate soil organic carbon remains less clear. Here we conducted a meta‐analysis using 734 observations explore effects of land recovery on and nutrients four provinces Southwest China. Following GGP, content (SOCc) stock (SOCs) increased by 33.73% 22.39%, respectively, compared with surrounding croplands. Similarly, nitrogen increased, while phosphorus decreased. Outcomes were heterogeneous, depended variations environmental characteristics. Both regional use cover change indicated landscape type transfer matrix net primary production from 2000 2020 further confirmed that GGP promoted forest area mean production. Our findings suggest could enhance sequestration China help develop carbon‐neutral strategy.

Language: Английский

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Scenario simulation of carbon balance in carbon peak pilot cities under the background of the "dual carbon" goals

Sustainable Cities and Society, Journal Year: 2024, Volume and Issue: unknown, P. 105910 - 105910

Published: Oct. 1, 2024

Language: Английский

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Spatial and Temporal Variation Characteristics of Vegetation Cover in the Tarim River Basin, China, and Analysis of the Driving Factors

Sustainability, Journal Year: 2025, Volume and Issue: 17(4), P. 1414 - 1414

Published: Feb. 9, 2025

The Tarim River Basin (TRB) in Northwest China has an extremely fragile ecological environment that is highly sensitive to climate change. Understanding the long-term change dynamics of vegetation coverage this arid zone critically important for predicting future trends as well improving regional protection and soil water conservation measures. Based on NDVI data from 2000 2022, a temporal spatial analysis TRB carried out using pixel dichotomy model, Sen trend analysis, MK test, Hurst index, correlation analysis. results reveal following: (1) shows fluctuating increasing trend, with decreases low areas increases high medium areas. Extremely accounts 46.89% study area. (2) Throughout 23-year period, cover essentially remains stable. proportion improved area greater than degraded area, accounting 66.49% 27.93%, respectively, there significant fluctuation variation, 29.99%. Further, variation vulnerability. continuous improvement 31.64%, which larger degradation (27.17%), uncertainty 41.18%, strongly random. (3) distance between land use closest river main limiting factor five studied sub-regions TRB. highest explanatory power combined precipitation 0.723. With Q value above 0.6, interaction type natural factors (e.g., temperature, precipitation, evapotranspiration, river, etc.) significant. This helpful predict TRB, provides scientific basis protection, conservation, planning.

Language: Английский

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Precipitation drives the floristic composition and diversity of temperate grasslands in China

Global Ecology and Conservation, Journal Year: 2021, Volume and Issue: 32, P. e01933 - e01933

Published: Nov. 19, 2021

Effects of environmental factors on plant diversity in temperate grasslands are interest since experiments have found is related to ecosystem function. Although previous studies focused the effects diversity, dominant driving differences among community types at regional scale remains unclear. We established 38 sampling sites (45 m × 45 m) main distribution areas analyze responses along different gradients and identifies floristic composition Inner Mongolia, China. In addition, variables (annual mean temperature, annual precipitation, altitude, disturbance intensity, soil pH, density, water content, organic carbon, total nitrogen, phosphorus, calcium carbonate), species indices (richness, heterogeneity, evenness), functional (abundance, evenness, divergence, dispersion) biomass were analyzed. A 179 vascular belonging 43 families 113 genera recorded classified into six ( Stipa grandis community, Leymus chinensis capillata Artemisia frigida Cleistogenes squarrosa halodendron community) based Ward's agglomerative hierarchical clustering. According canonical correspondence analysis Monte Carlo permutation test, precipitation was factor grasslands, promoting richness, divergence biomass. Soil content nitrogen played positive meanwhile, grazing intensity pH inhibited abundance, dispersion Furthermore, presence these communities dominated by indicate that grassland degradation imminent or has already begun. summary, our results provide evidence composition, traits demonstrate grasslands. • Annual carbon play a effect Species more affected than diversity. warn degradation.

Language: Английский

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The structural equation modeling constructed for runoff change attribution analysis outperforms traditional methods

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 636, P. 131317 - 131317

Published: May 13, 2024

Language: Английский

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