Quantifying the contributions of climatic and human factors to vegetation net primary productivity dynamics in East Africa DOI Creative Commons

Minghui Xu,

Zhenke Zhang, Yue Wang

et al.

Frontiers in Forests and Global Change, Journal Year: 2024, Volume and Issue: 6

Published: Jan. 5, 2024

As an important part of the terrestrial ecosystem, vegetation dynamics are subject to impacts from both climate change and human activities. Clarifying driving mechanisms variation is great significance for regional ecological protection achieving sustainable development goals. Here, net primary productivity (NPP) was used investigate spatiotemporal variability 2000 2020 in East Africa, its correlations with factors. Furthermore, we utilized partial derivatives analysis set up different scenarios distinguish relative contributions climatic factors NPP changes. The results revealed that exhibited a significant increase 4.16 g C/m 2 /a upward trend detected across 71.06% study area. average precipitation, temperature, solar radiation inter-annual variations Africa were 2.02, −1.09, 0.31 gC⋅m –2 ⋅a –1 , respectively. Precipitation made greatest positive contribution among all factors, while temperature strong negative contributions. activities changes 1.24 2.34 Moreover, rate larger than change, role decrease findings can provide new evidence deeper understanding ecosystem stability carbon cycling as well reference decision-making scientific support environmental protection.

Language: Английский

Effects of climate change and human activities on vegetation coverage change in northern China considering extreme climate and time-lag and -accumulation effects DOI
Mengyang Ma, Qingming Wang, Rong Liu

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 860, P. 160527 - 160527

Published: Nov. 30, 2022

Language: Английский

Citations

118

Accuracy assessment of temperature trends from ERA5 and ERA5-Land DOI
Meriç Yılmaz

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 856, P. 159182 - 159182

Published: Oct. 1, 2022

Language: Английский

Citations

87

Pathways to achieve carbon emission peak and carbon neutrality by 2060: A case study in the Beijing-Tianjin-Hebei region, China DOI
Jinyan Zhan, Chao Wang, Huihui Wang

et al.

Renewable and Sustainable Energy Reviews, Journal Year: 2023, Volume and Issue: 189, P. 113955 - 113955

Published: Nov. 6, 2023

Language: Английский

Citations

47

Estimation methods of wetland carbon sink and factors influencing wetland carbon cycle: a review DOI Creative Commons
Lixin Li,

Haibo Xu,

Qian Zhang

et al.

Carbon Research, Journal Year: 2024, Volume and Issue: 3(1)

Published: May 20, 2024

Abstract In the global ecosystem, wetlands are vital carbon sinks, playing a crucial role in absorbing greenhouse gases such as dioxide and mitigating warming. Accurate estimation of wetland content is essential for research on sinks. However, cycle complex, sinking affected by climate, topography, water level conditions, vegetation types, soil other factors. This has caused significant challenges current studies, most focused impact individual factors often ignoring interaction between various factors, which further leads to uncertainty measurements. paper aims elucidate process cycle, summarize affecting explore interplay their influence aiming provide theoretical support study Additionally, this reviews advantages disadvantages measurement methods, proposes directions combining machine learning identifies existing difficulties measurement, offers suggestions serve reference future sink management. Graphical

Language: Английский

Citations

30

Ignoring previous water conditions underestimates global terrestrial ecosystem productivity in severely arid vegetation regions DOI
Jingyu Zeng, Tao Zhou, Eric C. D. Tan

et al.

Global and Planetary Change, Journal Year: 2025, Volume and Issue: unknown, P. 104799 - 104799

Published: March 1, 2025

Language: Английский

Citations

2

Variation of vegetation autumn phenology and its climatic drivers in temperate grasslands of China DOI Creative Commons

Rong Ma,

Xiangjin Shen, Jiaqi Zhang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2022, Volume and Issue: 114, P. 103064 - 103064

Published: Oct. 18, 2022

Understanding the variation of autumn phenology and its climatic drivers is important for predicting terrestrial carbon cycles in temperate grasslands China. Using meteorological data GIMMS NDVI during 1982–2015, this study analyzed variations end date vegetation growing season (EOS) their relationships with climate The results showed that EOS was delayed by 1.62 days/decade across For different grassland types, 1.65, 1.66, 1.34 meadows, steppes, desert respectively. In terms change effects, increasing summer precipitation temperatures crucial delaying increase could delay EOS, especially whereas significantly meadows. addition, we found influences nighttime daytime warming on were asymmetric. Specifically, maximum temperature meadows minimum steppes had a weakly advancing effect Our highlights distinct monthly types indicates impacts should be included simulating ecosystems arid/semi-arid regions.

Language: Английский

Citations

53

Multifaceted responses of vegetation to average and extreme climate change over global drylands DOI
Liang He,

Jianbin Guo,

Wenbin Yang

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 858, P. 159942 - 159942

Published: Nov. 5, 2022

Language: Английский

Citations

45

Impacts of climate, phenology, elevation and their interactions on the net primary productivity of vegetation in Yunnan, China under global warming DOI Creative Commons
Chen Xu, Ya‐Ping Zhang

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110533 - 110533

Published: June 24, 2023

Both net primary productivity (NPP) and vegetation phenology play essential roles in influencing the carbon sequestration of terrestrial ecosystems. However, relationship between NPP remains unclear under effects global warming. This study used Geodetector to analyze interaction mechanisms climate, phenology, elevation, Yunnan, China. The results are as follows. (1) is positively correlated with NDVI, LOS, EOS, TEMP, PREC SRAD, negatively ELEV, NDBI SOS. main factors leading variation differ region. (2) spatial distribution LOS Yunnan Province mainly influenced by monsoon, showing a pattern high southwest low northeast, reason for NPP. (3) In high-altitude region northwest altitude factor affecting variation. (4) tropical monsoon forest southern SRAD cause changes. (5) Despite having small effect on NPP, SOS was only phenological that showed significant linear reveals complex diverse interactions different regions provides new perspective understanding cycle ecological processes ecosystems

Language: Английский

Citations

25

Spatiotemporal evolution and attribution analysis of grassland NPP in the Yellow River source region, China DOI
Zelin Wang,

Chun Dong,

Linda Dai

et al.

Ecological Informatics, Journal Year: 2023, Volume and Issue: 76, P. 102135 - 102135

Published: May 19, 2023

Language: Английский

Citations

24

Alpine grassland greening on the Northern Tibetan Plateau driven by climate change and human activities considering extreme temperature and soil moisture DOI

Yuanguo Liu,

Xiaoke Zhang,

Xindong Du

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 916, P. 169995 - 169995

Published: Jan. 17, 2024

Language: Английский

Citations

12