Soil type and temperature determine soil respiration seasonal dynamics in dairy grassland
Yulin Liu , Jingjing Zhang , Martin Karl-Friedrich Bader , Sebastian Leuzinger
Soil Ecology Letters ›› 2024, Vol. 6 ›› Issue (4) : 240250
Soil type and temperature determine soil respiration seasonal dynamics in dairy grassland
● Soil respiration rates ( R s) were measured in New Zealand dairy grassland. ● Both season and soil type significantly affected R s. ● Soil temperature and soil type dominated overall R s.
Soil respiration (Rs), the CO2 release from root respiration and microbial metabolism, affects global soil carbon storage and cycling. Only few studies have looked at Rs in the southern hemisphere, especially regarding the interaction between soil type and environmental factors on Rs in dairy grassland. We investigated the relationship between Rs and soil temperature (Ts), soil water content (SWC), soil type, and other environmental factors based on summer and winter measurements at four sites in New Zealand. Across sites, soil respiration rates ranged from 0.29 to 14.58 with a mean of 5.38 ± 0.13 (mean ± standard error) µmol CO2 m−2 s−1. Mean summer Rs was 86.5% higher than mean winter Rs, largely driven by organic/gley and pumice soils while ultic soils showed very little seasonal temperature sensitivity. Overall mean Rs in organic/gley soils was 108.0% higher than that in ultic soils. The high Rs rate observed in organic/gley was likely due to high soil organic matter content, while low Rs in ultic and pallic soils resulted from high clay content and low hydraulic conductance. Soil temperature drove overall Rs. Our findings indicate that soil type and soil temperature together best explain Rs. This implies that a mere classification of land use type may be insufficient for global C models and should be supplemented with soil type information, at least locally.
agriculture / agricultural soils / land use / livestock farming / soil carbon emission / soil temperature
| [1] |
|
| [2] |
|
| [3] |
|
| [4] |
|
| [5] |
|
| [6] |
|
| [7] |
|
| [8] |
|
| [9] |
|
| [10] |
|
| [11] |
|
| [12] |
FAO, 2023. Land Statistics and Indicators 2000–2021. Global, Regional and Country Trends. |
| [13] |
|
| [14] |
|
| [15] |
|
| [16] |
|
| [17] |
|
| [18] |
|
| [19] |
|
| [20] |
|
| [21] |
|
| [22] |
|
| [23] |
|
| [24] |
|
| [25] |
|
| [26] |
|
| [27] |
|
| [28] |
|
| [29] |
|
| [30] |
|
| [31] |
|
| [32] |
|
| [33] |
|
| [34] |
|
| [35] |
|
| [36] |
|
| [37] |
|
| [38] |
|
| [39] |
|
| [40] |
FAO, 2023. Land statistics and indicators 2000–2021. Global, regional and country trends. https://doi.org/10.4060/cc6907en |
| [41] |
|
| [42] |
Ministry for the Environment, Stats NZ, 2021. New Zealand’s Environmental Reporting Series: Our land 2021. |
| [43] |
|
| [44] |
|
| [45] |
|
| [46] |
|
| [47] |
|
| [48] |
|
| [49] |
National Institute of Water and Atmospheric Research, n.d. CliFlo: NIWA’s National Climate Database on the Web [Online] |
| [50] |
|
| [51] |
|
| [52] |
|
| [53] |
|
| [54] |
|
| [55] |
|
| [56] |
|
| [57] |
|
| [58] |
|
| [59] |
|
| [60] |
|
| [61] |
|
| [62] |
|
| [63] |
|
| [64] |
|
| [65] |
|
| [66] |
|
| [67] |
|
| [68] |
|
| [69] |
|
| [70] |
|
| [71] |
|
| [72] |
|
| [73] |
|
| [74] |
|
The Author(s) 2024. This article is published with open access at link.springer.com and journal.hep.com.cn
/
| 〈 |
|
〉 |