Ten-year variability and environmental controls of ecosystem water use efficiency in a rainfed maize cropland in Northeast China

Wang, Yu; Zhou, Li; Ping, Xiaoyan; Jia, Qingyu; Li, Rongping

doi:10.1016/j.fcr.2018.07.006

Cited by 48 publications

(14 citation statements)

References 53 publications

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“…Compared with deciduous forest, both wet and dry anomalies reduced GPP of cropland slightly. The GPP reduction during wet anomaly periods was related to the physiological and other processes associated with excessive soil water, which are detrimental to crops, especially for the extensive cropland under poor drainage conditions in the NECT (Y. Wang et al., 2018; Ye et al., 2013). Besides, root damage or restricted root development under wet anomalies may affect nutrient uptake (Parent et al., 2008).…”

Section: Discussionmentioning

confidence: 99%

Contrasting Responses of Vegetation Production to Rainfall Anomalies Across the Northeast China Transect

Zhao

Jia

et al. 2022

JGR Biogeosciences

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Increases in rainfall variability due to climate change influence gross primary production (GPP) in drylands, with important consequences for terrestrial carbon budget. However, it is not well understood if GPP responds in heterogeneous or even contrasting ways along the temperate bioclimate gradients. Here, based on satellite observations from 2001 to 2020, we identified rainfall anomalies as the magnitude of rainfall beyond its mean of one standard deviation, and examined differential responses of GPP to rainfall anomalies across Northeast China Transect (NECT). We found wet anomalies caused major GPP increase in western arid part of NECT, and the magnitude of increased GPP declined gradually toward the eastern humid region. As a result, GPP increased in desert steppe while decreased in mesic forest in response to wet anomalies. On the contrary, dry anomalies reduced GPP across the ecosystems except for mesic forest. The meadow steppe in the transition region between semi‐arid and sub‐humid regions, which lacks of drought‐tolerant species, showed greater GPP decline in response to dry anomalies than desert and typical steppe in the arid region. The heterogeneous responses of GPP to wet and dry anomalies resulted in contrasting asymmetries in diverse biomes, showing positive asymmetry in drier region, that is, greater magnitude of GPP increase in response to wet anomalies than GPP decrease in response to dry anomalies, and negative asymmetry in wetter region, with a transition between arid and semi‐arid regions. Our findings highlight that increased rainfall variability will enhance heterogeneous and even contrasting GPP changes along temperate bioclimate gradients.

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Section: Discussionmentioning

confidence: 99%

Contrasting Responses of Vegetation Production to Rainfall Anomalies Across the Northeast China Transect

Zhao

Jia

et al. 2022

JGR Biogeosciences

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“…Previously, 3S (geographic information system (GIS), global positioning system (GPS), remote sensing (RS)) technology, mathematical models [9], multivariate statistical index [10], and other related methods [11] have been used to study these changes. The driving factors of cropland use change mainly include resident population [12], environmental factors [13], regional biodiversity [14], and technological [15] and socioeconomic [16] factors. The methods of regression analysis [17], neural network [18], and panel data [19] have been used to calculate the impact of driving factors on cropland use change.…”

Section: Introductionmentioning

confidence: 99%

Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

Xiang

Song

2019

Sustainability

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Agriculture is important for economic development in most poverty-stricken areas in China, but cropland use is facing challenges due to rapid industrialization and urbanization, causing serious issues for poverty alleviation and sustainable socioeconomic development. Cropland Use Transition (CUT) is one way to alleviate poverty and develop the economy in poverty-stricken areas. This paper chose 16 typical poverty-stricken counties in Western Hubei province as the case area. A morphology index system was established to evaluate CUT, and geographic information system software was used to analyze the temporal-spatial variations in CUT. Using the Radial Basis Function Neural Network (RBFNN) model, contributions of driving factors of population, economy, and industrial structure to CUT were analyzed. The results show that: (1) cropland use morphology can be divided into functional morphology and spatial morphology; (2) the spatial distribution of CUT was high in the north and low in the south, the temporal variation of CUT from 1995 to 2013 showed fluctuations, and the coefficient of CUT changed from 0.460 to 0.649 with a growth rate of 41%; (3) for the driving factors, population factors most significantly contributed to CUT, followed by industrial structure and economic factors. The results obtained in this study are in line with the findings of previous studies. The RBFNN model is suitable for evaluating the contributions of driving factors, which can solve the deficiency in previous studies caused by ignoring the internal relationship and target orientation of driving factors. This study suggests that poverty-stricken counties should narrow the urban–rural divide, encourage balanced labor and investment flow into cropland by formulating relevant economic policies, motivate farmers’ agricultural engagement, and use science and technology to promote CUT and the growth of the agricultural economy, poverty alleviation, and to coordinate urban–rural development.

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“…The ecosystem water use efficiency based on in-situ eddy covariance measurements has been extensively investigated throughout the world [11][12][13]. As measurements have advanced, scales of WUE have been extended to farmland [14,15], grassland [7,16] and forest [6,[17][18][19][20]. With the help of remote sensing technology, GPP and ET product data have provided abundant data sources for WUE research at the local [21,22], regional [21,23] and global scales [24,25].…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing of Ecosystem Water Use Efficiency in Different Ecozones of the North China Plain

Chen

2022

Sustainability

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Water use efficiency (WUE), as an environmental factor of metabolism in different ecosystem functional areas, is a key indicator of the ecosystem carbon-water cycle. WUE is defined as the ratio of carbon absorbed by ecosystems to water evaporated. Exploring the spatiotemporal variation in carbon and water cycles in different ecological zones of the North China Plain and their driving factors is important for the ecological management and sustainable development of the different ecological zones in the North China Plain. Based on remote sensing data products, this paper studies the spatiotemporal variations of WUE and their driving factors in different ecological functional areas of the North China Plain from 2001 to 2017. This study found that: (1) The spatial distribution of WUE and gross primary production (GPP) in the North China Plain is similar, with the multiyear average of WUE at 0.74 g C m−2 y−1. The variation trend of WUE is mainly affected by the variation trend of GPP (44.38% of the area of the North China Plain). (2) The change trend of WUE mainly showed a mild decrease and a mild increase, accounting for 73.22% of the area of the North China Plain; the area with medium-low fluctuation of WUE accounted for the largest proportion, accounting for 59.90% of the area of the North China Plain. In addition, the multiyear average values of WUE in the ecological functional area are Qin Ling Mountains deciduous forests > Central China loess plateau mixed forests > Mongolian-Manchurian grassland > Ordos Plateau steppe > Changjiang Plain evergreen forests > Huang He Plain mixed forests > Bohai Sea saline meadow, in the order from high to low. (3) The influence of precipitation on WUE was higher than that of temperature. The area of WUE that increased with the increase of precipitation accounted for 23.74% of the area of the North China Plain and was mainly distributed in the Qin Ling Mountains deciduous forests, Changjiang Plain evergreen forests, and Huang He Plain mixed forests’ ecological functional areas. The results of the study can provide a reference and theoretical basis for the conservation and management of carbon and water cycles in the functional areas of North China’s ecosystems.

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Ten-year variability and environmental controls of ecosystem water use efficiency in a rainfed maize cropland in Northeast China

Cited by 48 publications

References 53 publications

Contrasting Responses of Vegetation Production to Rainfall Anomalies Across the Northeast China Transect

Contrasting Responses of Vegetation Production to Rainfall Anomalies Across the Northeast China Transect

Cropland Use Transitions and Their Driving Factors in Poverty-Stricken Counties of Western Hubei Province, China

Remote Sensing of Ecosystem Water Use Efficiency in Different Ecozones of the North China Plain

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