Modeling interannual variability of global soil respiration from climate and soil properties

Chen, Shutao; Huang, Yao; Zou, Jianwen; Shen, Qirong; Hu, Zhenghua; Qin, Yan; Chen, Haishan; Pan, Genxing

doi:10.1016/j.agrformet.2010.02.004

Cited by 103 publications

(85 citation statements)

References 141 publications

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“…Hydrogels is used in arid and semi-arid areas to improve the growth of agroforestry tree species. They absorb water, improving growth of transplanted seedlings under arid conditions (Chen et al, 2010). The results of Chen et al (2010) confirm that changes in soil nutrient status were influenced by the application of hydrogels which led to the increase in soil fertility and hence the differences in growth rate.…”

Section: Effects Of Hydrogels On the Growth Of Seedlings In The Fieldsupporting

confidence: 56%

Effects of Hydrogels on Soil Moisture and Growth of <i>Cajanus cajan</i> in Semi Arid Zone of Kongelai, West Pokot County

Gilbert¹,

Peter²,

Wilson³

et al. 2014

OJF

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Studies on the effects of hydrogels on soil amendments, moisture conservation and growth of Cajanus cajan in arid and semi-arid lands were carried out. Seedlings of C. cajan were established both in the nursery and in the field with and without hydrogels. In the field, three replications were used with three levels of hydrogels concentration (7 g, 11 g, and 15 g). Control seedlings were established in soils without hydrogels. In the nursery, root collar diameters and heights were measured every two weeks up to eight weeks. Seedlings established without hydrogels in the nursery were transplanted into field soils with none, 7 g, 11 g and 15 g of hydrogels. Root collar diameters and heights were again measured every month for three months. In addition, soil was collected randomly once every month from the base of each seedling and analyzed for soil moisture using standard laboratory procedures. All data were subjected to analysis of variance. The results show that growth in both the height and root collar diameter of the species was significantly different at the three levels of hydrogels. This suggests that use of hydrogels retards plant growth in nursery soils but improves growth in the field. Hydrogels increased soil moisture volume from 8.3% to 10% in H 15g level of hydrogels under C. cajan after transplanting. It was concluded that hydrogels do not contribute to growth of seedlings in the nursery but they do so after transplanting. Hydrogels increase soil moisture in the soil, so they are recommended for use in semi-arid lands to boost the survival and growth of seedlings.

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Section: Effects Of Hydrogels On the Growth Of Seedlings In The Fieldsupporting

confidence: 56%

Effects of Hydrogels on Soil Moisture and Growth of <i>Cajanus cajan</i> in Semi Arid Zone of Kongelai, West Pokot County

Gilbert¹,

Peter²,

Wilson³

et al. 2014

OJF

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“…There was no significant relationship between E 0 and any of the mean annual satellite-derived indices related to canopy greenness, water and temperature over either growing season or whole year. The question if the temperature sensitivity of respiration varies over time and among vegetation types is still under debate (Davidson and Janssens, 2006;Mahecha et al, 2010;Chen et al, 2010;Yvon-Durocher et al, 2012;Jägermeyr et al, 2014). Although many evidences showed that E 0 varies among compounds and decomposition of labile SOM has lower temperature sensitivity than decomposition of recalcitrant SOM (Davidson and Janssens, 2006), some researches reported that temperature sensitivities of respiration are remarkably similar among ecosystems (YvonDurocher et al, 2012), and can be even considered as a constant (Mahecha et al, 2010).…”

Section: Characteristics Of the Model Parametersmentioning

confidence: 99%

A remote sensing model to estimate ecosystem respiration in Northern China and the Tibetan Plateau

Gao

et al. 2015

Ecological Modelling

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a b s t r a c tEcosystem respiration (R e ) is rarely quantified from remote sensing data because satellite technique is incapable of observing the key processes associated with soil respiration. In this study, we develop a Remote Sensing Model for R e (ReRSM) by assuming that one part of R e is derived from current photosynthate with the respiratory rate coupling closely with gross primary production (GPP), and the other part of R e is derived from reserved ecosystem organic matter (including plant biomass, plant residues and soil organic matter) with the respiratory rate responding strongly to temperature change. The ReRSM is solely driven by the Enhanced Vegetation Index (EVI), the Land Surface Water Index (LSWI) and the Land Surface Temperature (LST) from MODIS data. Multi-year eddy CO 2 flux data of five vegetation types in Northern China and the Tibetan Plateau (including temperate mixed forest, temperate steppe, alpine shrubland, alpine marsh and alpine meadow-steppe) were used for model parameterization and validation. In most cases, the simulated R e agreed well with the observed R e in terms of seasonal and interannual variation irrespective of vegetation types. The ReRSM could explain approximately 93% of the variation in the observed R e across five vegetation types, with the root mean square error (RMSE) of 0.04 mol C m −2 d −1 and the modeling efficiency (EF) of 0.93. Model comparison showed that the performance of the ReRSM was comparable with that of the RECO in the studied five vegetation types, while the former had much fewer parameters than the latter. The ReRSM parameters showed good linear relationships with the mean annual satellite indices. With these linear functions, the ReRSM could explain approximately 90% of the variation in the observed R e across five vegetation types, with the RMSE of 0.05 mol C m −2 d −1 and the EF of 0.89. These analyses indicated that the ReRSM is a simple and alternative approach in R e estimation and has the potential of estimating spatial R e . However, the performance of ReRSM in other vegetation types or regions still needs a further study.

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“…Before this current study, previous studies [6,7] on RS in Africa have only presented 4 measurements (Figure 1a). This current study presents 62 published measurements of RS from 47 publications (Figure 1b).…”

Section: Resultsmentioning

confidence: 99%

“…In 2010 most studies that had attempted to assemble data on Rs had not been able to suggest more than four observations for the entire African continent. For example, Chen et al [6], Bond-Lamberty and Thomson [7] published the most up to date global and regional databases of Rs with only one [6] and four [7] data observation points respectively for Africa (Figure 1a). Rs has been defined as the flux of carbon dioxide from soil surfaces to the atmosphere [7].…”

Section: Open Accessmentioning

confidence: 99%

A New Compendium of Soil Respiration Data for Africa

Epule

2015

Challenges

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Abstract:The objective of this paper is to present to the scientific community a new dataset derived from existing literature on soil respiration in Africa. The data has thus been obtained by searching for records in peer review papers and grey literature. The main search engines used are: Scientific Citation Index (SCI) database, ISI Science web and Google scholar. This data description paper has greatly advanced the number of data points on soil respiration in Africa from 4 in 2010 to 62 in 2014. The new data points are culled from 47 peer review publications and grey literature reports. The data lends its self to a lot of possible analytical methods such as correlation analysis, multiple linear regressions, artificial neural network analysis and process base modeling. The overall conclusion that can be drawn here is that this paper has greatly advanced the availability of soil respiration data in Africa by presenting all the available records that before now were only reported in different studies.

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Modeling interannual variability of global soil respiration from climate and soil properties

Cited by 103 publications

References 141 publications

Effects of Hydrogels on Soil Moisture and Growth of <i>Cajanus cajan</i> in Semi Arid Zone of Kongelai, West Pokot County

Effects of Hydrogels on Soil Moisture and Growth of <i>Cajanus cajan</i> in Semi Arid Zone of Kongelai, West Pokot County

A remote sensing model to estimate ecosystem respiration in Northern China and the Tibetan Plateau

A New Compendium of Soil Respiration Data for Africa

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Modeling interannual variability of global soil respiration from climate and soil properties

Cited by 103 publications

References 141 publications

Effects of Hydrogels on Soil Moisture and Growth of &lt;i&gt;Cajanus cajan&lt;/i&gt; in Semi Arid Zone of Kongelai, West Pokot County

Effects of Hydrogels on Soil Moisture and Growth of &lt;i&gt;Cajanus cajan&lt;/i&gt; in Semi Arid Zone of Kongelai, West Pokot County

A remote sensing model to estimate ecosystem respiration in Northern China and the Tibetan Plateau

A New Compendium of Soil Respiration Data for Africa

Contact Info

Product

Resources

About

Effects of Hydrogels on Soil Moisture and Growth of <i>Cajanus cajan</i> in Semi Arid Zone of Kongelai, West Pokot County

Effects of Hydrogels on Soil Moisture and Growth of <i>Cajanus cajan</i> in Semi Arid Zone of Kongelai, West Pokot County