Estimation of All-Sky High-Resolution Gross Primary Production Across Different Biome Types Using Active Microwave Satellite Images and Environmental Data DOI Creative Commons
Jiang Chen, Zhou Zhang

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 12969 - 12982

Published: Jan. 1, 2024

Gross primary production (GPP) measures the amount of carbon fixed by plants and, thus, plays a significant role in terrestrial cycle and global food security, especially context climate change neutrality. Currently, all-sky high-resolution (<100 m) GPP is increasingly needed for better understanding food–carbon–water–energy nexus. However, previous studies usually used optical satellites to estimate clear-sky at kilometer-scale resolution. Due missing estimates under cloudy-sky conditions, monitoring spatio–temporal changes from would suffer some uncertainties. Moreover, one issue that they only satellite images or environmental data rather than jointly integrating them biome types. To address these challenges, this study attempts use active microwave Sentinel-1 synthetic aperture radar (SAR) 10 m resolution GPP. measurements across nine types North America were employed develop SAR-based model. Meanwhile, an optical-based model with Landsat-8 was also proposed comparison. The results revealed that, first, SAR can be utilized By images, data, types, optimal showed high accuracy estimating daily coefficient determination (R 2 ) = 0.764, root-mean-square error (RMSE) 1.976 gC/m /d, mean absolute (MAE) 1.308 /d. Second, had reasonable validation 0.809, RMSE 1.762 MAE 1.165 /d). Third, contributed more model, while contribution higher Fourth, performance GPP, two models consistency 0.730 1.858 /d) together. Therefore, demonstrated provides important source advancing our cycle, change.

Language: Английский

Spatiotemporal changes of gross primary productivity and its response to drought in the Mongolian Plateau under climate change DOI

Xuqin Zhao,

Min Luo, Fanhao Meng

et al.

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(1), P. 46 - 70

Published: Jan. 1, 2024

Language: Английский

Citations

5

Faster growth rate induces higher ecosystem productivity in Inner Mongolian grasslands during 2000–2018 years DOI

Zexu Nie,

Chao Wang, Na Zhang

et al.

Journal of Arid Environments, Journal Year: 2025, Volume and Issue: 228, P. 105347 - 105347

Published: Feb. 22, 2025

Language: Английский

Citations

0

Dynamic response of vegetation to meteorological drought and driving mechanisms in Mongolian Plateau DOI

Shuhui Gao,

Shengzhi Huang,

Vijay P. Singh

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132541 - 132541

Published: Dec. 1, 2024

Language: Английский

Citations

3

Impact of water productivity and irrigated area expansion on irrigation water consumption and food production in China in last four decades DOI Creative Commons
Xiaojin Li, Yonghui Yang, Xinyao Zhou

et al.

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 304, P. 109100 - 109100

Published: Oct. 13, 2024

Language: Английский

Citations

2

Quantitative assessment of spatiotemporal variations and drivers of gross primary productivity in tropical ecosystems at higher resolution DOI Creative Commons

Ruize Xu,

Jiahua Zhang, Meimei Zhang

et al.

International Journal of Applied Earth Observation and Geoinformation, Journal Year: 2024, Volume and Issue: 135, P. 104248 - 104248

Published: Nov. 6, 2024

Language: Английский

Citations

2

Assessing water use efficiency reactivity to meteorological, hydrological, and agricultural droughts on the Mongolian Plateau DOI Creative Commons
Li Mei, Siqin Tong,

Shan Yin

et al.

International Journal of Digital Earth, Journal Year: 2024, Volume and Issue: 17(1)

Published: Sept. 4, 2024

Language: Английский

Citations

1

Detecting Drought-Related Temporal Effects on Global Net Primary Productivity DOI Creative Commons
Min Luo, Fanhao Meng,

Chula Sa

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(20), P. 3787 - 3787

Published: Oct. 11, 2024

Drought has extensive, far-reaching, and long-lasting asymmetric effects on vegetation growth worldwide in the context of global warming. However, to date, few scholars have attempted systematic quantification temporal drought across various types diverse climate zones. Addressing this gap, we quantitatively investigated under scenarios, considering lagged cumulative as well combined 1982–2018 period. Our investigation was based long-term net primary productivity (NPP) two multiple-timescale indices: standardised precipitation index (SPI) evapotranspiration (SPEI). main findings were following: (1) SPI SPEI exhibited 52.08% 37.05% vegetation, leading average time lags 2.48 months 1.76 months, respectively. The observed 80.01% 72.16% vegetated areas, respectively, being associated with relatively longer timescales 5.60 5.16 (2) Compared scenario excluding effects, there increases explanatory powers for variations NPP lagged, cumulative, drought: increased by 0.82%, 6.65%, 6.92%, whereas 0.67%, 5.73%, 6.07%, stronger than approximately two-thirds (64.95% 63.52% SPEI, respectively) areas. (3) varied according zones types. Interestingly, arid most sensitive resilient drought, indicated its rapid response longest timescales. tropical temperate a that cold polar strongest correlation occurred shrubland followed grassland, cropland, forest, tundra Moreover, each type, correlations between differed significantly among (4) warming-induced regions displayed higher non-warming-induced regions, shorter highlight heterogeneity types; could enhance our understanding coupling relationship vegetation.

Language: Английский

Citations

1

Responses of vegetation low-growth to Extreme Climate Events on the Mongolian Plateau DOI Creative Commons
Hao Li, Dafang Zhuang,

Batu Nacun

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 56, P. e03292 - e03292

Published: Nov. 8, 2024

Language: Английский

Citations

1

Flux Balance and Attribution Analysis of Co2 in Grassland Ecosystems in Xinjiang of China DOI
Kun Zhang, Yu Wang, Ali Mamtimin

et al.

Published: Jan. 1, 2024

Download This Paper Open PDF in Browser Add to My Library Share: Permalink Using these links will ensure access this page indefinitely Copy URL DOI

Language: Английский

Citations

0

Revisiting snowmelt dynamics and its impact on soil moisture and vegetation in mid-high latitude watershed over four decades DOI
Dongsheng Li,

Wei Ouyang,

Lei Wang

et al.

Agricultural and Forest Meteorology, Journal Year: 2024, Volume and Issue: 362, P. 110353 - 110353

Published: Dec. 13, 2024

Language: Английский

Citations

0