Estimating total net primary productivity of managed grasslands by a state-space modeling approach in a small catchment on the Loess Plateau, China

Jia, Xiaoxu; Shao, Mingan; Wei, Xiaorong; Horton, Robert; Li, Xuezhang

doi:10.1016/j.geoderma.2010.09.016

Cited by 48 publications

(32 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The coldest and warmest months are January and July, with an average monthly temperature of −9.7 and 23.7 • C, respectively. The two soil types Aeolian sandy soil and Ust-Sandiic Entisol dominate this catchment (Jia et al, 2011). Soil particles consist of 11.2-14.3 % clay, 30.1-44.5 % silt and 45.4-50.9 % sand in terms of the soil classification system of United States Department of Agriculture (Zhu and Shao, 2008).…”

Section: Yuan Et Al: Comparisons Of Stemflow and Its Bio-/abioticmentioning

confidence: 99%

Comparisons of stemflow and its bio-/abiotic influential factors between two xerophytic shrub species

Yuan

Gao

2017

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Stemflow transports nutrient-enriched precipitation to the rhizosphere and functions as an efficient terrestrial flux in water-stressed ecosystems. However, its ecological significance has generally been underestimated because it is relatively limited in amount, and the biotic mechanisms that affect it have not been thoroughly studied at the leaf scale. This study was conducted during the 2014 and 2015 rainy seasons at the northern Loess Plateau of China. We measured the branch stemflow volume (SF b ), shrub stemflow equivalent water depth (SF d ), stemflow percentage of incident precipitation (SF %), stemflow productivity (SFP), funnelling ratio (FR), the meteorological characteristics and the plant traits of branches and leaves of C. korshinskii and S. psammophila. This study evaluated stemflow efficiency for the first time with the combined results of SFP and FR, and sought to determine the inter-and intra-specific differences of stemflow yield and efficiency between the two species, as well as the specific bio-/abiotic mechanisms that affected stemflow. The results indicated that C. korshinskii had a greater stemflow yield and efficiency at all precipitation levels than that of S. psammophila. The largest inter-specific difference generally occurred at the 5-10 mm branches during rains of ≤ 2 mm. Precipitation amount was the most influential meteorological characteristic that affected stemflow yield and efficiency in these two endemic shrub species. Branch angle was the most influential plant trait on FR. For SF b , stem biomass and leaf biomass were the most influential plant traits for C. korshinskii and S. psammophila, respectively. For SFP of these two shrub species, leaf traits (the individual leaf area) and branch traits (branch size and biomass allocation pattern) had a great influence during lighter rains ≤ 10 mm and heavier rains > 15 mm, respectively. The lower precipitation threshold to start stemflow allowed C. korshinskii (0.9 mm vs. 2.1 mm for S. psammophila) to employ more rains to harvest water via stemflow. The beneficial leaf traits (e.g., leaf shape, arrangement, area, amount) might partly explain the greater stemflow production of C. korshinskii. Comparison of SF b between the foliated and manually defoliated shrubs during the 2015 rainy season indicated that the newly exposed branch surface at the defoliated period and the resulting rainfall intercepting effects might be an important mechanism affecting stemflow in the dormant season.

show abstract

Section: Yuan Et Al: Comparisons Of Stemflow and Its Bio-/abioticmentioning

confidence: 99%

Comparisons of stemflow and its bio-/abiotic influential factors between two xerophytic shrub species

Yuan

Gao

2017

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

show abstract

“…This paper is mainly focused on the response of regulating services to vegetation restoration, which has not been fully understood in current research [25][26][27][28]57]. The responses of WY change and NPP change to NDVI change at the pixel level were calculated using linear regression analysis.…”

Section: Response Relationshipsmentioning

confidence: 99%

“…Response of regulating services to vegetation change is an important topic with the GFG project proceeding, but it has not been fully understood in current research [25][26][27][28]57]. At the pixel scale in our site, response relationships between regulating services (WY and NPP) and NDVI were analyzed and identified for the period from 2000-2013 (Figure 7).…”

Section: Response Of Es Change To Vegetation Changementioning

confidence: 99%

“…Extensive croplands have been converted into woodlands, and natural vegetation has been restored in the NSLP, which has had a dramatic impact on ES. Current research shows that ES significantly changed in the Loess Plateau after GFG [3,27,28]. However, the processes and main drivers of different ES changes during the whole GFG period in the NSLP still need to be further elucidated.…”

Section: Introductionmentioning

confidence: 97%

See 1 more Smart Citation

Ecosystem Services and Ecological Restoration in the Northern Shaanxi Loess Plateau, China, in Relation to Climate Fluctuation and Investments in Natural Capital

et al. 2017

View full text Add to dashboard Cite

Accurately identifying the spatiotemporal variations and driving factors of ecosystem services (ES) in ecological restoration is important for ecosystem management and the sustainability of nature conservation strategies. As the Green for Grain project proceeds, food provision, water regulation and climate regulation services in the Northern Shaanxi Loess Plateau (NSLP) are changing and have caused broad attention. In this study, the dynamic pattern of the normalized differential vegetation index (NDVI) and the main drivers of grain production (GP), water yield (WY) and net primary production (NPP) in the NSLP from 2000-2013 are identified by incorporating multiple data and methods, in order to provide a better understanding of how and why ES change during ecological restoration. WY was simulated by hydrological modeling, and NPP was estimated with the Carnegie Ames Stanford Approach (CASA) model. The results show that vegetation restoration continued from 2000-2013, but fluctuated because of the comprehensive influence of climate and human activity. GP and NPP both exhibited significantly increasing trends, while changes in WY occurred in two stages: decline (2000)(2001)(2002)(2003)(2004)(2005)(2006) and growth (2007)(2008)(2009)(2010)(2011)(2012)(2013). Spatially, significantly increasing trends in NPP and WY were detected in 52.73% and 24.76% of the region, respectively, in areas that correspond with the Green for Grain project and high precipitation growth. Correlation and partial correlation analyses show that there were different dominant factors (i.e., natural vs. anthropogenic) driving ES change in the NSLP from 2000-2013. The change in WY was mainly driven by precipitation, while the improvements in GP and NPP can be attributed to investments in natural capital (i.e., chemical fertilizer, agricultural machinery power and afforestation). We also found that vegetation restoration can produce positive effects on NPP, but negative effects on WY by using response analyses of WY or NPP change to NDVI change, demonstrating that additional research on the role of water in vegetation restoration is needed. Our results provide support for ES management and the sustainable development of ecological restoration in the NSLP.

show abstract

“…This area has a semiarid climate with a mean annual temperature of 8.6 • C and a mean annual precipitation of 412 mm (1996)(1997)(1998)(1999)(2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) falling mainly from July to September. The mean frost-free period is 169 days, and the mean annual pan evaporation is 785 mm (Jia et al, 2011).…”

Section: Description Of the Sampling Sitementioning

confidence: 99%

Effect of rock fragments content on water consumption, biomass and water-use efficiency of plants under different water conditions

Shao

Liu

2016

Ecological Engineering

View full text Add to dashboard Cite

a b s t r a c tThe proportion of rock fragments in soil affects water availability and therefore the characteristics of plants. The objective of this study was to evaluate the effect of rock-fragment content on plant water consumption, biomass, growth and water-use efficiency (WUE) under different water conditions. Four gravimetric treatments of rock-fragment contents (0, 10, 30 and 50%) and four treatments of water content were tested in sandy loamy soils. The water contents of the rock-free soil were 15-19% (80-100% of field capacity), 11-15% (60-80% of field capacity), 9-11% (47-60% of field capacity) and 6-9% (32-47% of field capacity). Transpiration, plant height, basal stem diameter and biomass of korshinsk peashrubs in the treatments were measured and compared. Plants grown in the soil with rock fragments transpired less, especially under well-watered conditions. The mean daily transpiration of plants in the soils with 30 and 50% rock-fragment contents was 18% (P = 0.021) and 34% (P = 0.001) lower, respectively, in 2014, and 25% (P = 0.008) and 31% (P = 0.002) lower, respectively, in 2015 relative to the soil without rock fragments and was not lower in the soil with 10% rock fragments. Plant height, basal stem diameter and biomass did not differ significantly between rock-fragment contents of 0 and 30% but were lower at 50%. WUE, the ratio between total transpiration and biomass, was highest at 30% and then decreased at 50%. Increasing plant water stress could thus improve WUE. The rock fragments in the soil had significant effects on plant water consumption, biomass, growth and WUE. Optimizing the rock-fragment content is necessary when the relationships between plants and water in stony ecosystems are evaluated.

show abstract

Estimating total net primary productivity of managed grasslands by a state-space modeling approach in a small catchment on the Loess Plateau, China

Cited by 48 publications

References 36 publications

Comparisons of stemflow and its bio-/abiotic influential factors between two xerophytic shrub species

Comparisons of stemflow and its bio-/abiotic influential factors between two xerophytic shrub species

Ecosystem Services and Ecological Restoration in the Northern Shaanxi Loess Plateau, China, in Relation to Climate Fluctuation and Investments in Natural Capital

Effect of rock fragments content on water consumption, biomass and water-use efficiency of plants under different water conditions

Contact Info

Product

Resources

About