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Article: The effect of water stress on net primary productivity in northwest China

Ju, Weimin / Zhou, Yanlian

Environmental science and pollution research. 2021 Dec., v. 28, no. 46

2021

Abstract: Net primary productivity (NPP) has been widely used as the indicator of vegetation function and exhibits large spatial and temporal variations caused by numerous factors. Northwest China (NWC) is one of the driest regions in China, and water supply is ... ...

Abstract	Net primary productivity (NPP) has been widely used as the indicator of vegetation function and exhibits large spatial and temporal variations caused by numerous factors. Northwest China (NWC) is one of the driest regions in China, and water supply is the key determinant of NPP here. However, studies on the effects of water stress on NPP in NWC at the regional scale are still relatively lacking. Thus, in this study, based on a set of Moderate-Resolution Imaging Spectroradiometer (MODIS) NPP and evapotranspiration (ET) datasets, we quantified the response of NPP to water stress, which is indicated by crop water stress index (CWSI). Regional average of annual NPP in NWC showed an increasing trend during the study period, at a rate of 0.84 g C m⁻² yr⁻¹. At the province level, the NPP increase rates increased in the order of Ningxia (7.7%), Shaanxi (6.5%), Gansu (4.5%), Qinghai (3.8%), and Xinjiang (1.7%). NPP was negatively correlated with CWSI (p<0.05) in 73% of areas, indicating the key role of water stress in constraining NPP over this arid region. The effect of water stress on NPP changes with elevation. Water stress has the strongest negative impact on NPP in areas with elevations around 2000 m. In elevations above 5000 m, NPP is not limited by water stress, mostly positively correlated with CWSI. Our findings further clarify the importance of water stress in dryland ecosystems, while highlighting that elevation gradients can significantly affect the correlation between NPP and water stress.
Keywords	arid lands ; arid zones ; data collection ; evapotranspiration ; net primary productivity ; pollution ; research ; vegetation ; water stress ; water supply ; China
Language	English
Dates of publication	2021-12
Size	p. 65885-65898.
Publishing place	Springer Berlin Heidelberg
Document type	Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-021-15314-2
Database	NAL-Catalogue (AGRICOLA)

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Article: Great uncertainties in modeling grazing impact on carbon sequestration: a multi-model inter-comparison in temperate Eurasian Steppe

Chen, Yizhao / Yuwen, Tao / ju, weimin / Hickler, Thomas / Liao, Cuijuan / Ruan, Honghua

Environmental research letters, 13(7):075005

2018

Abstract: The impact of grazing activity on terrestrial carbon (C) sequestration has been noticed and studied worldwide. Recent efforts have been made to incorporate the disturbance into process-based land models. However, the performance of grazing models has not ...

Institution	Senckenberg Biodiversität und Klima Forschungszentrum
Abstract	The impact of grazing activity on terrestrial carbon (C) sequestration has been noticed and studied worldwide. Recent efforts have been made to incorporate the disturbance into process-based land models. However, the performance of grazing models has not been well investigated at large scales. In this study, we performed a spatially explicit model uncertainty assessment in the world's largest pasture ecosystem, the temperate Eurasian Steppe. Five grazing models were explicitly incorporated into a single terrestrial biogeochemical model to simulate regional C consumption from grazing activity (Cgraze). First, we summarized the underlying mechanisms and explicitly compared the general functions used to describe the processes in different models. Then, the models (five models with 12 simulations) were run in parallel using the same forcing data and livestock distribution map in 2006. Results indicated that the modeled regional Cgraze varied from 0.1–16.1 gC m−2 for the year. The corresponding ratios of Cgraze to aboveground net primary productivity ANPP and net primary productivity (NPP) ranged from 0.08%–24.6% and 0.028%–11.2%, respectively. Parameter sensitivity was further analyzed. Model outputs are highly sensitive to the intake rate (i.e. feeding rate of livestock per day), half maximum intake rate, and initial livestock weight. Our results indicate that great uncertainty exists in simulating Cgraze. We ascribed the major uncertainty to the different process description and poor parameterization. This study calls for more efforts to the comprehensive synthesis of usable dataset, the foundation of a standard observation system and the observe-based inter-comparison to evaluate models, which would facilitate more accurate assessment of C sequestration by pasture ecosystems and lead to better representation in earth system models.
Keywords	C sequestration ; grassland management ; grazing model ; model uncertainty ; remote sensing ; temperate Eurasian steppe
Language	English
Document type	Article
Database	Repository for Life Sciences

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Article ; Online: Improving sea surface floating matter identification from Sentinel-2 MSI imagery using optical radiative simulation of neighborhood difference.

Zhu, Xiaobo / Lu, Yingcheng / Dou, Changyong / Ju, Weimin

Optics express

2023 Volume 31, Issue 17, Page(s) 27612–27620

Abstract: The reflectance difference (ΔR) between a floating matter pixel and a nearby water reference pixel is a method of atmospheric radiation unmixing. This technique unveils target signals by referencing the background within the horizontal neighborhood. ΔR ... ...

Abstract	The reflectance difference (ΔR) between a floating matter pixel and a nearby water reference pixel is a method of atmospheric radiation unmixing. This technique unveils target signals by referencing the background within the horizontal neighborhood. ΔR is effective for removing the mixed-pixel effect and partial atmospheric path radiance. However, other atmospheric interference sources in the difference pixel, including atmospheric extinction and sunglint, need to be clarified. To address these challenges, we combined in situ floating matter endmember spectra for simulation and Sentinel-2 Multispectral Instrument (MSI) sensors for validation. We focused on radiative transfer simulation of horizontal neighborhood and vertical atmospheric column, investigating the bilateral conversion of ΔR between bottom-of-atmosphere (BOA) and top-of-atmosphere (TOA) signals, and clarifying how the atmosphere affects the difference pixel (ΔR) and floating matter identification. Results showed that direct use of TOA ΔR works in discriminating algae from non-algae floating matters under weak sunglint, and is a suitable candidate for no bother with atmospheric correction, least uncertain, and wider coverage. And then, sunglint interference is also inevitable, whether serious or not.
Language	English
Publishing date	2023-09-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	1491859-6
ISSN	1094-4087 ; 1094-4087
ISSN (online)	1094-4087
ISSN	1094-4087
DOI	10.1364/OE.497219
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Revisiting the cumulative effects of drought on global gross primary productivity based on new long‐term series data (1982–2018)

Zhang, Zhenyu / Ju, Weimin / Zhou, Yanlian / Li, Xiaoyu

Global change biology. 2022 June, v. 28, no. 11

2022

Abstract: Drought has broad and deep impacts on vegetation. Studies on the effects of drought on vegetation have been conducted over years. Recently, the cumulative effect of drought is recognized as another key factor affecting plant growth. However, global‐scale ...

Abstract	Drought has broad and deep impacts on vegetation. Studies on the effects of drought on vegetation have been conducted over years. Recently, the cumulative effect of drought is recognized as another key factor affecting plant growth. However, global‐scale studies on this phenomenon are still lacking. Thus, based on new satellite based gross primary productivity (GPP) and multi‐temporal scale Standardized Precipitation Evapotranspiration Index data sets, we explored the cumulative effect duration (CED) of drought on global vegetation GPP and analyzed its variability across elevations and climatic zones. The main findings were as follows: (1) The cumulative effect of drought on GPP was widespread, with an average CED of 4.89 months. (2) CED of drought on GPP varied among vegetation types. Specifically, grasslands showed the longest duration, with an average value of 5.28 months, followed by shrublands (5.09 months), wetlands (5.03 months), croplands (4.85 months), savannas (4.58 months), and forestlands (4.57 months). (3) CED of drought on GPP changes with climate conditions. It decreased with the decrease of precipitation in the driest month (Pdᵣy) and mean annual precipitation in tropical and arid climate zones, respectively. In both temperate and cold climate zones, CED of drought on GPP was shorter in areas with dry winter than that in areas with dry summer. It increased with the decrease of mean annual air temperature in tropical climate zones and decreased with the increase of summer temperature in temperate and cold climatic zones. (4) With increasing elevation, CED of drought on GPP showed a pattern of increasing (0–3000 m), then decreasing (3000–5000 m), and increasing again (>5000 m). Our findings highlight the heterogeneity of CED of drought on GPP, owing to differences in vegetation types, long‐term hydrothermal conditions, elevation, etc. The results could deepen our understanding of the effects of drought on global vegetation.
Keywords	air temperature ; arid zones ; atmospheric precipitation ; cold ; cold zones ; drought ; evapotranspiration ; forest land ; global change ; gross primary productivity ; plant growth ; satellites ; shrublands ; summer ; tropics ; winter
Language	English
Dates of publication	2022-06
Size	p. 3620-3635.
Publishing place	John Wiley & Sons, Ltd
Document type	Article
Note	JOURNAL ARTICLE
ZDB-ID	1281439-8
ISSN	1365-2486 ; 1354-1013
ISSN (online)	1365-2486
ISSN	1354-1013
DOI	10.1111/gcb.16178
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Revisiting the cumulative effects of drought on global gross primary productivity based on new long-term series data (1982-2018).

Zhang, Zhenyu / Ju, Weimin / Zhou, Yanlian / Li, Xiaoyu

Global change biology

2022 Volume 28, Issue 11, Page(s) 3620–3635

Abstract	Drought has broad and deep impacts on vegetation. Studies on the effects of drought on vegetation have been conducted over years. Recently, the cumulative effect of drought is recognized as another key factor affecting plant growth. However, global-scale studies on this phenomenon are still lacking. Thus, based on new satellite based gross primary productivity (GPP) and multi-temporal scale Standardized Precipitation Evapotranspiration Index data sets, we explored the cumulative effect duration (CED) of drought on global vegetation GPP and analyzed its variability across elevations and climatic zones. The main findings were as follows: (1) The cumulative effect of drought on GPP was widespread, with an average CED of 4.89 months. (2) CED of drought on GPP varied among vegetation types. Specifically, grasslands showed the longest duration, with an average value of 5.28 months, followed by shrublands (5.09 months), wetlands (5.03 months), croplands (4.85 months), savannas (4.58 months), and forestlands (4.57 months). (3) CED of drought on GPP changes with climate conditions. It decreased with the decrease of precipitation in the driest month (P
MeSH term(s)	Climate Change ; Droughts ; Ecosystem ; Forests ; Seasons
Language	English
Publishing date	2022-04-07
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	1281439-8
ISSN	1365-2486 ; 1354-1013
ISSN (online)	1365-2486
ISSN	1354-1013
DOI	10.1111/gcb.16178
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Simulating canopy carbonyl sulfide uptake of two forest stands through an improved ecosystem model and parameter optimization using an ensemble Kalman filter

Chen, Bin / Wang, Pengyuan / Wang, Shaoqiang / Ju, Weimin / Liu, Zhenhai / Zhang, Yinghui

Ecological Modelling. 2023 Jan., v. 475 p.110212-

2023

Abstract: The uptake of carbonyl sulfide (COS) by plant canopy closely correlated with photosynthetic CO₂ uptake as they share the same diffusion pathway. Process-based ecosystem models have been used to simulate the CO₂, H₂O and COS fluxes between terrestrial ... ...

Abstract	The uptake of carbonyl sulfide (COS) by plant canopy closely correlated with photosynthetic CO₂ uptake as they share the same diffusion pathway. Process-based ecosystem models have been used to simulate the CO₂, H₂O and COS fluxes between terrestrial ecosystems and atmosphere. Some model parameters often vary seasonally and interannually. In this study, the hourly Boreal Ecosystem Productivity Simulator (BEPS) was first improved to simulate the canopy COS uptake rate. Then, an ensemble Kalman filter was designed to optimize the key parameters of the hourly BEPS model, considering the errors in the input, parameters and measurements. The optimized parameters include leaf maximum carboxylation rate at 25 °C at top of canopy (Vcmax250) and a calibration term (α) used to scale the apparent conductance for COS uptake from the intercellular airspace (gcos) to Vcmax. The fluxes of gross primary productivity (GPP), latent heat (LE) and COS uptake by canopy (Fcₒₛ_ᵥₑg) measured using eddy covariance method at a temperate deciduous forest during 2012–2013 and a boreal conifer forest during 2013–2017 were used for data assimilation. Parameters were optimized daily and presented as 10-day averages. It was found that the parameters showed considerable seasonally and interannually variations. With parameter optimization using EnKF, the improved hourly BEPS model could explain 86%, 68% and 55% of variations in measured daily GPP, LE and Fcₒₛ_ᵥₑg at US-Ha1 site during 2012 and 2013 and captured 90%, 74% and 69% of variations in the measured GPP, LE and Fcₒₛ_ᵥₑg at FI-Hyy site during 2013–2017, respectively. The simulated daily Fcₒₛ_ᵥₑg with the parameters optimized using EnKF could capture the day-to-day variations of Fcₒₛ_ᵥₑg at the two studied sites and performed better than the simulations with calibrated parameter values. Further efforts were required to investigate the impacts of model structure and different parameter optimization methods on the optimized parameter values.
Keywords	canopy ; carbon dioxide ; carbonyl sulfide ; carboxylation ; coniferous forests ; deciduous forests ; ecological models ; ecosystems ; eddy covariance ; gross primary productivity ; latent heat ; leaves ; photosynthesis ; seasonal variation ; Ensemble Kalman filter ; Parameter optimization ; Data assimilation
Language	English
Dates of publication	2023-01
Publishing place	Elsevier B.V.
Document type	Article ; Online
ZDB-ID	191971-4
ISSN	0304-3800
ISSN	0304-3800
DOI	10.1016/j.ecolmodel.2022.110212
Database	NAL-Catalogue (AGRICOLA)

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Article: Advances in hyperspectral remote sensing of vegetation traits and functions

Zhang, Yongguang / Migliavacca, Mirco / Penuelas, Josep / Ju, Weimin

Remote sensing of environment. 2021 Jan., v. 252

2021

Abstract: The functions and traits of plants are key to understanding and predicting the adaptation of ecosystems to environmental changes. Remote sensing has been used to monitor the status of vegetation across multiple spatial and temporal scales. The remote ... ...

Abstract	The functions and traits of plants are key to understanding and predicting the adaptation of ecosystems to environmental changes. Remote sensing has been used to monitor the status of vegetation across multiple spatial and temporal scales. The remote sensing of vegetation is now undergoing a paradigm shift from monitoring structural parameters to monitoring functional traits. In particular, recent advances in hyperspectral techniques of remote sensing provide an opportunity to map vegetation traits and functions over a range of scales. In this editorial, we first present the background of the recent advances in the remote sensing of vegetation traits and functions and solar-induced fluorescence (SIF) of chlorophyll. We then summarize eight of the papers in this special issue that focus on new remote-sensing techniques and algorithms developed for retrieving plant functional traits, such as pigment and nitrogen contents and functional parameters. These contributions cover two major scientific themes: (1) estimating and monitoring plant traits and functions and (2) interpreting and understanding remotely sensed SIF signals. The research in this special issue will improve the development of the satellite remote sensing of plant traits and functions, allowing for improved estimation of vegetation processes such as photosynthesis and its associated water and carbon cycles.
Keywords	carbon ; chlorophyll ; environment ; fluorescence ; nitrogen ; photosynthesis ; remote sensing ; satellites ; vegetation
Language	English
Dates of publication	2021-01
Publishing place	Elsevier Inc.
Document type	Article
Note	NAL-AP-2-clean
ZDB-ID	431483-9
ISSN	0034-4257
ISSN	0034-4257
DOI	10.1016/j.rse.2020.112121
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Improved estimation of global gross primary productivity during 1981-2020 using the optimized P model.

Zhang, Zhenyu / Li, Xiaoyu / Ju, Weimin / Zhou, Yanlian / Cheng, Xianfu

The Science of the total environment

2022 Volume 838, Issue Pt 2, Page(s) 156172

Abstract: Accurate estimation of terrestrial gross primary productivity (GPP) is essential for quantifying the net carbon exchange between the atmosphere and biosphere. Light use efficiency (LUE) models are widely used to estimate GPP at different spatial scales. ... ...

Abstract	Accurate estimation of terrestrial gross primary productivity (GPP) is essential for quantifying the net carbon exchange between the atmosphere and biosphere. Light use efficiency (LUE) models are widely used to estimate GPP at different spatial scales. However, difficulties in proper determination of maximum LUE (LUE
MeSH term(s)	Atmosphere ; Carbon ; Dehydration ; Ecosystem ; Humans ; Photosynthesis ; Seasons
Chemical Substances	Carbon (7440-44-0)
Language	English
Publishing date	2022-05-23
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	121506-1
ISSN	1879-1026 ; 0048-9697
ISSN (online)	1879-1026
ISSN	0048-9697
DOI	10.1016/j.scitotenv.2022.156172
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Article ; Online: The effect of water stress on net primary productivity in northwest China.

Zhang, Zhenyu / Ju, Weimin / Zhou, Yanlian

Environmental science and pollution research international

2021 Volume 28, Issue 46, Page(s) 65885–65898

Abstract	Net primary productivity (NPP) has been widely used as the indicator of vegetation function and exhibits large spatial and temporal variations caused by numerous factors. Northwest China (NWC) is one of the driest regions in China, and water supply is the key determinant of NPP here. However, studies on the effects of water stress on NPP in NWC at the regional scale are still relatively lacking. Thus, in this study, based on a set of Moderate-Resolution Imaging Spectroradiometer (MODIS) NPP and evapotranspiration (ET) datasets, we quantified the response of NPP to water stress, which is indicated by crop water stress index (CWSI). Regional average of annual NPP in NWC showed an increasing trend during the study period, at a rate of 0.84 g C m
MeSH term(s)	China ; Dehydration ; Ecosystem ; Humans ; Satellite Imagery
Language	English
Publishing date	2021-07-29
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-021-15314-2
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Seasonal changes of leaf chlorophyll content as a proxy of photosynthetic capacity in winter wheat and paddy rice

Li, Jing / Lu, Xuehe / Ju, Weimin / Li, Ji / Zhu, Shihua / Zhou, Yanlian

Ecological indicators. 2022 July, v. 140

2022

Abstract: Accurate representation of photosynthetic capacity and its seasonal variations is critical for modeling carbon sequestration of cropland ecosystems through photosynthesis. Previous studies indicated that the maximum carboxylation rate at 25 °C (Vcₘₐₓ₂₅) ... ...

Abstract	Accurate representation of photosynthetic capacity and its seasonal variations is critical for modeling carbon sequestration of cropland ecosystems through photosynthesis. Previous studies indicated that the maximum carboxylation rate at 25 °C (Vcₘₐₓ₂₅) is the key determinant of photosynthetic capacity and can be mapped according to leaf nitrogen (N) and chlorophyll (Chl) contents. However, whether relationships of Vcₘₐₓ₂₅ with leaf nitrogen and chlorophyll contents in cropland ecosystems change over the whole growing season remain unclear. To address this question, we conducted intensive field campaigns in winter wheat and paddy rice farmlands of Eastern China, with leaf Vcₘₐₓ₂₅, the maximum electron transport rate at 25 °C (Jₘₐₓ₂₅), N, and Chl measured every 7 to 10 days from the tillering stage to maturity. Results showed that Vcₘₐₓ₂₅ and Jₘₐₓ₂₅ varied significantly during the growing seasons and maximized at flowering stages. For both winter wheat and paddy rice, Chlₐ (Chl content at the area unit) showed significantly different relationships with Vcₘₐₓ₂₅ pre- and post- flowering while Nₐ (N content at the area unit) did not. When different empirical models were used for pre- flowering and post- flowering stages, Vcₘₐₓ₂₅ estimated from Chlₐ was closer to observations (R² = 0.875, RMSE = 9.479 µmol m⁻² s⁻¹) than that estimated from Nₐ (R² = 0.565, RMSE = 17.718 µmol m⁻² s⁻¹). The findings in this study imply that the combination of remotely sensed leaf Chlₐ content and phenology would improve the mapping of Vcₘₐₓ₂₅ for crops at regional and even global scales.
Keywords	carbon sequestration ; carboxylation ; chlorophyll ; cropland ; electron transfer ; leaf chlorophyll content ; leaves ; nitrogen ; nitrogen content ; phenology ; photosynthesis ; remote sensing ; rough rice ; tillering ; winter wheat ; China
Language	English
Dates of publication	2022-07
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2036774-0
ISSN	1872-7034 ; 1470-160X
ISSN (online)	1872-7034
ISSN	1470-160X
DOI	10.1016/j.ecolind.2022.109018
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