Above- and below-ground biomass distribution and morphological characteristics respond to nitrogen addition in Pinus tabuliformis
© The Author(s). 2016
Received: 30 January 2016
Accepted: 1 December 2016
Published: 21 December 2016
With the continuing deposition of atmospheric nitrogen (N), N has become a major factor affecting ecosystem carbon (C) balance and N cycles. However, it is still unclear how increasing N deposition alters above- and below-ground biomass allocation, especially among different order roots. Pinus tabuliformis Carrière is an important native species in the Loess Plateau of China, as well as the preferred species for artificial afforestation in this area.
One-year-old P. tabuliformis seedlings were treated with six different N concentrations (0, 0.02, 0.04, 0.08, 0.16, and 0.32 g N kg−1 soil year−1) for 3 years. Individual P. tabuliformis seedlings were separated into leaves, shoots, and roots in May 2011. Variations in leaf morphology, root characteristics, and their biomasses were investigated.
(1) The highest N fertilizer level (0.32 g N kg−1 soil year−1) significantly decreased leaf area, root length, and specific root area. (2) Lower levels of N significantly reduced root length, root diameter, and specific root area in the first- and second-order roots. (3) Leaf biomass increased significantly in the higher N treatments (0.02–0.08 g N kg−1 soil year−1). However, total seedling biomass under the highest treatment decreased significantly due to excessive N. Biomass of the roots and leaves in the 0.04 g N kg−1 soil year−1 treatment increased compared with that in the control.
(1) The lower-order roots (and leaves) were more sensitive than the higher-order roots (and stems) to N application. (2) The specific root area to specific leaf area ratio might be more suitable than area or biomass indices in explaining the utilisation of N by plants. (3) The functional balance hypothesis did not adequately explain the distribution of photosynthetic products among P. tabuliformis organs, but the source-sink relationship hypothesis did. This indicates that roots were the main sink and received a greater distribution of photosynthetic products.
KeywordsSoil available nitrogen Root morphology Leaf morphology Root order Biomass
Global nitrogen (N) deposition profoundly affects temperate ecosystems where plant growth is commonly limited by N availability (LeBauer and Treseder 2008). In many regions, N deposition has significantly increased due to anthropogenic activity, leading to increases in the availability of this often growth-limiting nutrient (Vitousek et al. 1997; Galloway et al. 2008). Several studies have suggested a variety of plant responses to N deposition (Driscoll et al. 2003; Fenn et al. 2003; Bobbink et al. 1998, 2010) and illustrated that anthropogenic N deposition in temperate ecosystems is expected to affect the carbon (C) assimilation capacity of plants (Gastal and Lemaire 2002; Yang et al. 2012; Wang and Liu 2014). These biomass changes in plant organs will have an important influence on C distribution and might also have a profound impact on C distribution of whole forest ecosystems.
Plants change their morphological characteristics in response to N addition. Above ground, N availability can affect plant C distribution by influencing leaf area parameters (leaf area and specific leaf area) (Pregitzer et al. 1995, 1998). In contrast, variations in the morphological traits of roots, including average diameter, root length, root area, specific root length (length/mass ratio), and specific root area (area/mass ratio), are considered to result from adaptation to soil resource capture (water and mineral nutrients) (Wang et al. 2013). These traits have important effects on root production and turnover (Pregitzer et al. 1997; Borken et al. 2007), which reflect the ratio of photosynthetic C in roots, and ultimately affect the overall plant C allocation balance.
The biomass of plant organs is determined by the allocation of photosynthetic products when adapted to N deposition. Nitrogen deposition influences the allocation of photosynthetic products between ephemeral and long-lived tissues, respiration and biomass production, and above- and below-ground components (Litton et al. 2007), as well as the allocation and amount of photosynthates to plant organs (Yang et al. 2012). Analysis of the above- to below-ground biomass ratio has led many researchers to conclude that the effects of N on C distribution in different plant organs generally support the functional equilibrium hypothesis (that is, when plant growth is restricted by a certain resource, plants will preferentially allocate photosynthetic products to the organ that absorbs the resource) (Gower et al. 1992; Albaugh et al. 1998; Tateno et al. 2004). However, other researchers believe that the source-sink relationship hypothesis better describes the effect of N on C distribution in various plant organs (Dewar 1993). This hypothesis holds that the plant is a system that consists of interactions between sources and leaves, sinks and stems, and roots and fruit. The sources provide the required assimilates through phloem transport, and the sinks obtain the assimilates by competition with other sink organs. However, how changes in biomass among different organs—such as between leaves and branches, roots and leaves, and thick and fine roots—conform to the various hypotheses is unclear.
Bloom et al. (1985) proposed a general theory in which fine-root systems are assumed to be well adapted to maximize soil-resource capture (water and mineral nutrients), while minimising the energetic costs of construction, maintenance, and resource uptake. The indices of specific leaf area (leaf area/mass ratio) and specific root area (root area/mass ratio) combine plant growth and C allocation and might be more suitable than area or biomass indices to explain the utilisation of N by plants.
Pinus tabuliformis Carrière is an important native species in the Loess Plateau of China, as well as the preferred species for artificial afforestation in this area. Based on the concept of ephemeral root modules of perennial plants (Pregitzer et al. 2002; Xia et al. 2010), we hypothesised that the morphology (root length, root diameter, specific root length, specific root area, and specific leaf area) of lower-order roots (or leaves) would be more sensitive than that of higher-order roots (or branches) to N addition. We also expected that C allocation to different organs would conform to the functional equilibrium hypothesis.
This research was carried out in an experimental field at the Institute of Soil and Water Conservation in Yangling, Shaanxi Province, China (108° 4′ E, 34° 16′ N). The site has a mainland monsoon-type climate with average annual precipitation of 674 mm and a mean annual temperature of 13.2 °C. The soil is classified as Calcic Cambisol (FAO-UNESCO, 1977) and is mainly a wind-deposited loess soil that is highly erosive. The soil was collected from a planted P. tabuliformis forest site. The clay, silt, and sand composition in the top 0–20 cm soil layer was 36.8, 24.3, and 38.9%, respectively. The organic matter content was 13.6 ± 1.3 g kg−1 (mean ± standard deviation, n = 8); total soil N content was 1.54 ± 0.24 g kg−1; total soil P content was 1.42 ± 0.38 g kg−1; and soil pH was 8.6 ± 0.3. Previous studies have indicated that low soil N availability has limited the growth of P. tabuliformis at this site (Wang et al. 2013). The local atmospheric N deposition rate is 2.06 g m−2 year−1, which is lower than most polluted regions in the south of China (7.3 g m−2 year−1; Mo et al. 2008). However, the N deposition rate at this site is increasing rapidly (Galloway et al. 2004; Wei et al. 2010).
The seeds of P. tabuliformis were germinated on 23 March 2007, before sowing. The germinated seedlings, which ranged in height from 2.33 to 3.25 cm, were sown in a 5 m × 10 m seedling bed on 28 March 2007. In March 2008, 408 PVC pots of 35-cm diameter and 40-cm depth were filled with forest soil from the research site. Each pot was packed to a bulk density of approximately 1.14 g cm−3 (18 kg dry soil per pot). The pots were arranged into six blocks based on a randomised block design, and different amounts of urea (Fu Min Agriculture Product Company, Xian, China), as specified below, were dissolved into 10 mL of distilled water and added to the pots evenly when it rained. This took place at the end of March or in early April of each year from 2008 to 2011. This annual application of N over 3 years was provided to ensure the full effects of N application on seedling growth. The maximum precipitation at this site did not cause any leaching of urea from pots (distance from the soil surface to the top of the pot was 7 cm, allowing sufficient space for the pots to hold precipitation). Nitrogen treatment levels in each of the six blocks were as follows: 0 (control group, CK), 0.02 (N1), 0.04 (N2), 0.08 (N3), 0.16 (N4), and 0.32 (N5) g N kg−1 soil year−1 (0, 1.77, 3.54, 7.08, 14.16, and 28.32 g m−2 year−1, respectively, dissolved in 10 mL of distilled water). There were 68 pots per N treatment, i.e., 408 pots in total. These seedlings were used not only for our research in this paper but also for root respiration, biomass, and N concentration of seedling foliage (data not shown). The 68 pots per N treatment ensured that root sampling met the requirements of measurement.
Plant sampling was conducted in May 2011. Individual plants were separated into leaves, shoots, and roots. Samples were gently tapped to remove loose organic matter and mineral soil, then immediately placed in a plastic box with ice, transported within several hours to the laboratory, and frozen for dissection at a later date. In the laboratory, fine roots contained in each soil block were sorted according to Pregitzer et al. (2002). Before dissection, root segments were cleaned of residual soil particles with forceps in deionized water (1 °C). Individual roots were dissected by order following the same classification method as Valenzuela-Estrada et al. (2008). Only live roots were measured; dead roots were removed and discarded. Live and dead roots were distinguished according to Vogt and Perrson (1991). The leaf and shoot samples were freeze-dried and weighed individually. All samples were placed in a cool room within 1 h from the start of sampling.
Seedling roots were sorted and classified by root order (first–sixth order roots). As the first-order roots of each seedling were sparse, the first-order roots of five seedlings were combined into one sample in each N treatments, to meet the requirements of instrument measurement. All pots were sampled in May 2011, with no samples retained for subsequent sampling.
Root imaging and statistics
All roots were dried on absorbent filter paper and then spread over a rectangular, transparent, plastic sheet so that no two segments touched. A scanner was used to scan the roots on the plastic sheet at a resolution of 300 dpi, and root images were recorded in TIFF format. Root length, area, and diameter were measured using CIAS 2.0 image analysis software (CID, Inc., WA, USA). Before roots were scanned, the scanner and software were calibrated with CIAS image standards for length and area. Root diameter classes were set at 0.1-mm intervals. After scanning, the leaves, shoots, and roots were oven-dried at 70 °C for 48 h before being weighed. Root length and root biomass were obtained for individual seedlings. The specific root length and specific root area were obtained by dividing the root length and root area by the root biomass, respectively. The specific leaf area was obtained by dividing leaf area by leaf biomass.
Differences between any two treatments in leaf and root morphological characteristics (i.e., root diameter, root length, root area, specific root length, specific root area, leaf area, specific leaf area, and organ biomass) were determined with SPSS 21.0 statistical software using one-way blocked analysis of variance (ANOVA) (IBM, NY, USA), with each treatment representing a block. Homogeneity of variances were tested by the Levene test. Post hoc separation of means was performed using Tukey’s HSD test.
Effects of N addition on leaf morphology
Effects of N addition on root morphology
As expected, mean root diameter increased with increasing root order (Fig. 2b). All levels of N application significantly reduced the average diameter of the first- and fourth-order roots compared with those of CK. A significant reduction in average diameter also occurred for the second-order roots with N application, except for N3. However, there were no significant differences in mean root diameter with N application treatment.
No consistent differences in specific root area were observed among N application treatments for the various orders of roots tested or between N application treatments and CK. Overall, treatments N2–N5 resulted in significantly lower specific root areas than those of N1 and CK.
Effects of N addition on plant biomass
Effect of N addition on leaf, stem, and root biomass of P. tabuliformis (mean ± SE, n = 5)
Biomass (g plant−1)
N treatment (g N kg−1)
19.4 ± 0.6 ab
19.9 ± 2.7 a
21.8 ± 2.1 a
14.5 ± 1.3 b
8.8 ± 0.6 c
17.0 ± 1.5 b
9.8 ± 1.2 a
11.6 ± 1.9 a
10.0 ± 1.5 a
5.9 ± 0.6 b
4.0 ± 0.5 b
10.5 ± 1.4 a
1.3 ± 0.3 ab
1.2 ± 0.4 ab
1.7 ± 0.4 a
1.5 ± 0.4 a
0.5 ± 0.1 b
1.2 ± 0.3 ab
1.8 ± 0.2 a
2.5 ± 0.1 a
2.2 ± 0.2 a
1.9 ± 0.4 a
1.1 ± 0.1 b
2.2 ± 0.3 a
2.4 ± 0.3 ab
3.1 ± 0.4 b
2.6 ± 0.2 ab
2.3 ± 0.3 ab
1.8 ± 0.3 a
2.4 ± 0.2 ab
2.6 ± 0.3 ab
2.9 ± 0.2 ab
3.0 ± 0.2 a
2.0 ± 0.3 bc
1.6 ± 0.1 c
2.1 ± 0.1 bc
1.7 ± 0.2 ab
2.4 ± 0.4 a
1.5 ± 0.4 ab
2.1 ± 0.5 ab
1.2 ± 0.2 b
1.3 ± 0.2 ab
Sixth- and above order roots
3.1 ± 0.7 a
3.2 ± 0.5 a
2.8 ± 0.3 a
2.8 ± 0.1 ab
1.2 ± 0.2 b
2.8 ± 0.5 a
First- and second-order roots
3.1 ± 0.5 a
3.7 ± 0.4 a
3.9 ± 0.5 a
3.3 ± 0.7 a
1.5 ± 0.1 b
3.4 ± 0.6 a
Third- and above order roots
9.3 ± 0.6 ab
11.0 ± 1.2a
9.3 ± 0.7 ab
8.1 ± 0.9 b
5.8 ± 0.3 c
8.0 ± 0.2 b
Total root biomass
13.0 ± 0.7 ab
15.2 ± 1.1 a
13.8 ± 0.8 ab
11.9 ± 1.6 b
7.3 ± 0.4 c
12.0 ± 1.0 b
First- to second-order roots and leaves
22.6 ± 0.9 a
23.6 ± 2.5 a
25.7 ± 1.7 a
17.8 ± 0.8 c
10.3 ± 0.5 d
20.5 ± 1.2 b
Third- and above order roots and stems
19.6 ± 1.1 a
23.1 ± 1.4 a
19.9 ± 1.9 a
14.6 ± 1.4 b
9.8 ± 0.3 c
19.1 ± 1.4 a
Total plant biomass
42.2 ± 1.6 a
46.7 ± 3.6 a
45.6 ± 3.4 a
32.4 ± 1.9 b
20.1 ± 0.8 c
39.6 ± 2.3 ab
Effect of N addition on the biomass ratios of leaf/stem, root/leaf, root/stem, and root/above ground of P. tabuliformis (mean ± SE, n = 5)
N treatment (g N kg−1)
2.1 ± 0.2 ab
1.8 ± 0.2 b
2.3 ± 0.3 ab
2.5 ± 0.3 a
2.2 ± 0.2 ab
1.7 ± 0.2 b
0.7 ± 0.10 a
0.8 ± 0.1 a
0.7 ± 0.1 a
0.9 ± 0.2 a
0.9 ± 0.1 a
0.8 ± 0.1 a
1.4 ± 0.2 a
1.5 ± 0.3 a
1.6 ± 0.3 a
2.0 ± 0.3 a
2.0 ± 0.3 a
1.2 ± 0.2 a
0.5 ± 0.0 a
0.5 ± 0.1 a
0.5 ± 0.1 a
0.6 ± 0.1 a
0.6 ± 0.1 a
0.5 ± 0.1 a
Effect of N addition on the specific root area (SRA) and specific leaf area (SLA) ratios of root/leaf, the first- and second-order roots/leaves, and third- and above order roots/leaves of P. tabuliformis (mean ± SE, n = 5)
N treatment (g N kg−1)
37.5 ± 6.8 ab
29.6 ± 4.5 b
33.5 ± 5.0 ab
30.6 ± 3.5 b
26.3 ± 5.7 b
49.3 ± 6.6 a
First- and second-order SRA/SLA
32.3 ± 6.4 ab
23.2 ± 4.6 b
27.2 ± 4.0 ab
25.2 ± 2.7 ab
22.2 ± 4.9 b
40.7 ± 6.7 a
Third to sixth-order SRA/SLA
5.3 ± 0.6 ab
6.4 ± 2.2 ab
6.3 ± 1.1 ab
5.5 ± 1.3 ab
4.1 ± 0.9 b
8.6 ± 1.5 a
Sensitive responses of lower-order roots and leaves to N addition
In this study, we found that lower-order roots (or leaves) were more sensitive than higher-order roots (or stems) to N application. There was also a combined response to N addition in the lower-order roots, leaf biomass, and morphological data (Tables 1 and 3). This result supported our hypothesis that the morphology of lower-order roots (or leaves) would be more sensitive than that of higher-order roots (or branches) to N addition.
Compared to Wang et al. (2013), addition of N resulted in slightly reduced fine-root biomass and significant changes in root morphology (including root number, cumulative root length, individual root length, and specific root length), responses that were associated primarily with the first- and second-order roots. The specific root-leaf area decrease observed under N2 treatment was mainly caused by the decrease in lower-order (first and second) roots. For example, the sum of the biomass of the first- and second-order roots and leaves under low N treatment was significantly higher than that of the CK but was significantly lower than that of the highest N treatment. However, the sum of the biomass of the third- to sixth-order roots and stems under low N treatment showed no corresponding significant differences since these roots were woody and had only water- and nutrient-transport functions. Similarly, the specific root area of the first- and second-order roots and specific leaf area ratios were also significantly different.
Baguall et al. (1988) proposed that soil nutrients and moisture affect leaf expansion and discourage assimilate transport out of leaves, leading to thickening of the leaves and decreased specific leaf area. In our study, however, the specific leaf area under all N treatments showed no corresponding significant differences. It is generally believed that N addition increased the leaf area to improve plant photosynthesis but decreased the specific leaf area to reduce C input to the leaves.
Most previous studies have analysed plant mechanisms of distribution of photosynthetic products using the root to shoot ratio. However, some researchers believe that this indicator only represents net C accumulation and does not adequately show the adaptability of plant communities in response to environmental change (Weiner 1990). In addition, it does not correspond well with biomass and does not reflect the loss caused by respiration and senescence, root production, root turnover rate, and other indicators (Dai et al. 2012; Jaana et al. 2014). These indicators are very important for nutrient uptake and photosynthesis of plants. Therefore, the response of photosynthate allocation to environmental change has certain limitations if the root to shoot ratio is the only index used. In fact, plant competition for above- and below-ground resources depends not only on biomass distribution characteristics but also on plant morphological characteristics, especially specific leaf and root areas (Aerts et al. 1991).
Specific root area represents root area per unit root mass and is an important indicator to describe fine-root morphology and physiological function. Studies have shown that specific root area is associated with the effective use of soil resources (Burton 2000; Gordon and Jackson 2000). Specific leaf area represents leaf area per unit mass and usually reflects plant photosynthetic capacity. In the present study, N addition significantly reduced the specific root area to specific leaf area ratio, which suggests that the proportion of assimilates in the root system was less than that in the leaves. Consequently, we consider that this ratio might be more suitable than the area or biomass indices to explain the utilization of N by plants.
The cost-benefit theory, in which root N absorption is dependent on photosynthetic products (C input) (Eissenstat and Yanai 1997; Nadelhoffer 2000; Norby and Jackson 2000), can explain the mechanism of our hypothesis. According to this theory, N concentrations decrease, but C concentrations increase, with the increase in root order (Pregitzer et al. 1997; Majdi 2001; Wells et al. 2002). Jackson et al. (1997) found that fine roots need to consume 41 units of C in order to absorb one unit of N, so that soil N availability affects the growth of fine roots by influencing C allocation to the root system (Hendricks et al. 2006). Pregitzer et al. (1997, 2002) and Wells (2002) stated that the first-order roots have a shorter life than the second- and third-order roots. Thus, the order in which roots die would have the opposite trend to their development order: that is, the first-order roots die first, then the second-order roots, and so on. Based on the cost-benefit theory, the benefit (increasing absorption of N) of accelerating turnover of lower-order roots was greater than the cost of maintaining fine roots (C consumption). Thus, when soil nutrients were low, a greater specific root area for lower-order roots compared with other orders indicated that roots choose the minimum cost to obtain the maximum benefit. However, when soil nutrient supply was adequate, plants reduced C input to fine roots and increased C into leaves, increasing photosynthesis by increasing leaf area to obtain greater growth and efficiency.
Effect of N addition on biomass allocation to different plant organs
The distribution of photosynthetic products by plants is affected by physiological processes such as photosynthesis, assimilate transport, respiration, and storage of assimilates (Grechi et al. 2007). The environmental effects on the distribution of photosynthetic products in plants are more complicated. The functional balance hypothesis is based on environmental factors affecting the distribution mechanism of plant photosynthetic products and also indicates a balanced and coordinated relationship between C supply by plant leaves and root uptake of water and nutrients. Plants obtain light, nutrients, water, carbon dioxide, and other resources to achieve maximum growth by distribution of photosynthetic products (Bloom et al. 1985; Reynolds and Chen 1996; Chen and Reynolds 1997).
We previously studied the carbon allocation of P. tabuliformis seedlings along a nitrogen addition gradient using stable carbon isotope technology (Wang and Liu 2014). We found that the photosynthetic rate, root respiration, biomass, and N concentration of seedling foliage exhibited a modal response, peaking at 11.2 g N m−2 year−1 (N levels used were 0, 2.8, 5.6, 11.2, and 22.4 g N m−2 year−1). The highest N treatment (22.4 g N m−2 year−1) had detrimental effects on seedling physiological function (photosynthesis, root respiration) and was strongly decoupled from N concentrations in plant tissues. In the present study, we used different N levels, which included either limited N treatment or excessive N treatment. We found that only moderate N treatment promoted P. tabuliformis biomass accumulation, while higher N levels led to reduced biomass. The proportion of photosynthetic products in the root system increased when the soil N supply was low (i.e., CK treatment). In higher nutrient treatments (N1–N3 with N concentrations of 1.77, 3.54, and 7.08 g m−2 year−1, respectively), more photosynthetic products were allocated to leaves, which led to significant increases in leaf biomass. This phenomenon supported the functional balance hypothesis. However, we also found that root and leaf biomass increased under moderate N application (N2) and decreased under excessive N application (N5) compared with CK. This indicated that the functional balance hypothesis did not adequately explain the distribution of photosynthetic products among P. tabuliformis organs as it does not consider plant ontogeny or genetic characteristics that affect the distribution of such products.
According to another hypothesis of photosynthetic product distribution, Marcelis et al. (1998) found that the intensity of plant sinks differed at different growth stages, leading to changes in the distribution of photosynthetic products. In our experiment, only the seedling stage was considered. During this period, roots are the main sink and obtain more photosynthetic products than the leaves or stem. Thus, the biomass of roots and leaves both increased under N2 treatment, suggesting that 0.04 g kg−1 was the most suitable N level for biomass accumulation in P. tabuliformis seedlings. Furthermore, the disadvantages of the functional equilibrium hypothesis could be avoided if plant morphology and the distribution of photosynthates can be combined.
The highest N fertiliser level of N5 significantly decreased leaf area, root length, and specific root area.
Lower levels of N significantly reduced root length, root diameter, and specific root area for the first- and second-order roots.
N2 was the most suitable N level for biomass accumulation in 2-year-old P. tabuliformis seedlings. Leaf biomass increased significantly under the abundant nutrient treatments (N1–N3). The biomass of higher-order roots reached a maximum under N2.
Lower-order roots (or leaves) were more sensitive than higher-order roots (or stems) to N application.
The specific root area to specific leaf area ratio might be more suitable than the area or biomass indices in explaining the utilisation of N by plants.
The functional balance hypothesis did not adequately explain the distribution of photosynthetic products among P. tabuliformis organs, but the source-sink relationship hypothesis did. This indicates that roots were the main sink and received a greater distribution of photosynthetic products.
This research was funded by the National Natural Science Foundation of China (No. 408701150, No. 41271290, and No. 41330858) and the School foundation of Xi’an University of Technology (310–252071506).
All authors contributed substantially to the work reported here. LY and WG participated in the design of the study. LY, LP, and WG analyzed the data and wrote the manuscript. LG and LZ reviewed the manuscript. All authors read and approved the final manuscript.
The authors declare that they have no competing interests.
Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
- Aerts, R., Boot, R. G. A., & van der Aart, P. J. M. (1991). The relation between above-and belowground biomass allocation patterns and competitive ability. Oecologia, 87(4), 551–559.View ArticleGoogle Scholar
- Albaugh, T. J., Allen, H. L., & Dougherty, P. M. (1998). Leaf area and above- and belowground growth responses of loblolly pine to nutrient and water additions. Forest Science, 44(2), 317–328.Google Scholar
- Baguall, D. J., King, R. W., & Farquhar, G. D. (1988). Temperature dependent feedback inhibition of photosynthesis in peanut. Planta, 175(3), 348–354.View ArticleGoogle Scholar
- Bloom, A. J., Chapin, F. S., & Mooney, H. A. (1985). Resource limitation in plants—an economic analogy. Annual Review of Ecology and Systematics, 16(01), 363–392.View ArticleGoogle Scholar
- Bobbink, R., Hornung, M., & Roelofs, J. G. M. (1998). The effects of air-borne nitrogen pollutants on species diversity in natural and seminatural European vegetation. Journal of Ecology, 86(5), 717–738.View ArticleGoogle Scholar
- Bobbink, R., Hicks, K., Galloway, J., Spranger, T., Alkemader, R., Ashmore, M., Bustamante, M., Cinderby, S., Davison, E., Dentener, F., EmmettB, E. J. W., Fenn, M., Gliliam, F., Nordin, A., Pardo, L., & Vries, W. D. (2010). Global assessment of nitrogen deposition effects on terrestrial plant diversity: a synthesis. Ecology Applications, 20(1), 30–59.View ArticleGoogle Scholar
- Borken, W., Kossmann, G., & Matzner, E. (2007). Biomass, morphology and nutrient contents of fine roots in four Norway spruce stands. Plant and Soil, 292(1), 79–93.View ArticleGoogle Scholar
- Burton, A. J., Pregitzer, K. S., & Hendrick, R. L. (2000). Relationships between fine root dynamics and nitrogen availability in Michigan northern hardwood forests. Oecologia, 125(3), 389–399.View ArticleGoogle Scholar
- Chen, J. L., & Reynolds, J. F. (1997). A coordination model of whole-plant carbon allocation in relation to water stress. Annals of Botany, 80(1), 45–55.View ArticleGoogle Scholar
- Dai, C., Kang, M. Y., Ji, W. Y., & Jiang, Y. (2012). Responses of belowground biomass and biomass allocation to environmental factors in central grassland of Inner Mongolia. Acta Agrestia Sinica, 20(2), 268–274.Google Scholar
- Dewar, R. C. (1993). A root-shoot partitioning model based on carbon-nitrogen-water interactions and Munch phloem flow. Functional Ecology, 7(3), 356–368.View ArticleGoogle Scholar
- Driscoll, C. T., Whitall, D., Aber, J., Boyer, E., Castro, M., Cronan, C., Goodale, C. L., Geiser, L., Bowman, W. D., Sickman, J. O., Meixner, T., Johnson, D. W., & Neitlich, P. (2003). Nitrogen pollution in the northeastern United States: sources, effects, and management options. Bioscience, 53(4), 357–374.View ArticleGoogle Scholar
- Eissenstat, D. M., & Yanai, R. D. (1997). The ecology of root lifespan. Advances in Ecological Research, 27, 2–59.Google Scholar
- FAO-Unesco. (1977). Soil Map of the World. Volume VI. Africa. Paris: Unesco.Google Scholar
- Fenn, M. E., Baron, J. S., Allen, E. B., Rueth, H. M., Nydick, K. R., Geiser, L., Bowman, W. D., Sickman, J. O., Meixner, T., Johnson, D. W., & Neitlich, P. (2003). Ecological effects of nitrogen deposition in the western United States. Bioscience, 53(4), 404–420.View ArticleGoogle Scholar
- Galloway, J. N., Dentener, F. J., Capone, D. G., Boyer, E. W., Howarth, R. W., Seitzinger, S. P., Asner, G. P., Cleveland, C. C., Green, P. A., Holland, E. A., Karl, D. M., Michaels, A. F., Porter, J. H., Townsend, A. R., & Vöosmarty, C. J. (2004). Nitrogen cycles: past, present, and future. Biogeochemistry, 70(2), 153–226.View ArticleGoogle Scholar
- Galloway, J. N., Townsend, A. R., Erisman, J. W., Bekunda, M., Cai, Z. C., Freney, J. R., Martinelli, A., Seitzinger, S. P., & Sutton, M. A. (2008). Transformation of the nitrogen cycle: recent trends, questions, and potential solutions. Science, 320(5878), 889–892.View ArticlePubMedGoogle Scholar
- Gastal, F., & Lemaire, G. (2002). N uptake and distribution in crops: an agronomical and ecophysiological perspective. Journal of Experimental Botany, 53(370), 789–799.View ArticlePubMedGoogle Scholar
- Gordon, W. S., & Jackson, R. B. (2000). Nutrient concentrations in fine roots. Ecology, 81(1), 275–280.View ArticleGoogle Scholar
- Gower, S. T., Vogt, K. A., & Grier, C. C. (1992). Carbon dynamics of Rocky Mountain Douglas-fir: influence of water and nutrient availability. Ecological Monographs, 62(1), 43–65.View ArticleGoogle Scholar
- Grechi, I., Vivin, P., Hilbert, G., et al. (2007). Effect of light and nitrogen supply on internal C:N balance and control of root-to-shoot biomass allocation in grapevine. Environmental and Experimental Botany, 59(2), 139–149.View ArticleGoogle Scholar
- Hendricks, J. J., Hendrick, R. L., Wilson, C. A., et al. (2006). Assessing the patterns and controls of fine root dynamics: an empirical test and methodological review. Journal of Ecology, 94(1), 40–57.View ArticleGoogle Scholar
- Jackson, R. B., Mooney, H. A., & Schulze, E. D. (1997). A global budget for fine root biomass, surface area, and nutrient contents. Proceedings National Academy Sciences of the United States of America, 94, 7362–7366.View ArticleGoogle Scholar
- LeBauer, D. S., & Treseder, K. K. (2008). Nitrogen limitation of net primary productivity in terrestrial ecosystems is globally distributed. Ecology, 89(2), 371–379.View ArticlePubMedGoogle Scholar
- Leppälammi-Kujansuu, J., Salemaa, M., Kleja, D. B., Linder, S., Helmisaari, H.-S., (2014). Fine root turnover and litter production of Norway spruce in a long-term temperature and nutrient manipulation experiment. Plant and Soil, 374(1-2), 73–88.View ArticleGoogle Scholar
- Litton, C. M., Raich, J. W., & Ryan, M. G. (2007). Carbon allocation in forest ecosystems. Global Change Biology, 13(10), 2089–2109.View ArticleGoogle Scholar
- Majdi, H. (2001). Changes in fine root production and longevity in relation to water and nutrient availability in a Norway spruce stand in Northern Sweden. Tree Physiology, 21(4), 1057–1061.View ArticlePubMedGoogle Scholar
- Marcelis, L. F. M., Heuvelink, E., & Goudriaan, J. (1998). Modelling biomass production and yield of horticultural crops: a review. Scientia Horticulturae, 74(1), 83–111.View ArticleGoogle Scholar
- Mo, J., Li, D., & Gundersen, P. (2008). Seedling growth response of two tropical tree species to nitrogen deposition in southern China. European Journal of Forest Research, 127(4), 275–283.View ArticleGoogle Scholar
- Nadelhoffer, K. J. (2000). The potential effects of nitrogen deposition on fine-root production in forest ecosystems. New Phytologist, 147(1), 131–139.View ArticleGoogle Scholar
- Norby, R. J., & Jackson, R. B. (2000). Root dynamics and global change: seeking an ecosystem perspective. New Phytologist, 147(1), 3–12.View ArticleGoogle Scholar
- Pregitzer, K. S., Zak, D. P., Crutis, P. S., Kubiske, M. E., Teeri, J. A., & Vogel, C. S. (1995). Atmospheric CO2, soil N and fine root turnover. New Phytologist, 129(4), 579–585.View ArticleGoogle Scholar
- Pregitzer, K. S., Kubiske, M. E., Yu, C. K., & Hendrick, R. L. (1997). Relationships among root branch order, carbon and nitrogen in four temperate species. Oecologia, 111(3), 302–308.View ArticleGoogle Scholar
- Pregitzer, K. S., Laskowski, M. J., Burton, A. J., Lessard, V. C., & Zak, D. R. (1998). Variation in sugar maple root respiration with root diameter and soil depth. Tree Physiology, 18(10), 665–670.View ArticlePubMedGoogle Scholar
- Pregitzer, K. S., Deforest, J. L., Burton, A. J., Allen, M. F., Ruess, R. W., & Hendrick, R. L. (2002). Fine root architecture of nine North America trees. Ecological Monographs, 72(2), 293–309.View ArticleGoogle Scholar
- Reynolds, J. F., & Chen, J. L. (1996). Modelling whole-plant allocation in relation to carbon and nitrogen supply: coordination versus optimization: opinion. Plant and Soil, 185(1), 65–74.View ArticleGoogle Scholar
- Tateno, R., Hishi, T., & Takeda, H. (2004). Above and belowground biomass and net primary production in a cool temperate deciduous forest in relation to topographical changes in soil nitrogen. Forest Ecology and Management, 193(3), 297–306.View ArticleGoogle Scholar
- Valenzuela-Estrada, L. R., Vera-Caraballo, V., Ruth, L. E., & Eissenstat, D. M. (2008). Root anatomy, morphology, and longevity among root orders in Vaccinium corymbosum (Ericaceae). American Journal of Botany, 95(12), 1506–1514.View ArticlePubMedGoogle Scholar
- Vitousek, P. M., Aber, J. D., Howarth, R. W., Likens, G. E., Matson, P. A., & Schindler, D. W. (1997). Human alteration of the global nitrogen cycle: sources and consequences. Ecology Applications, 7(3), 737–750.Google Scholar
- Vogt, K. A., & Perrson, H. (1991). Measuring growth and development of roots. In J. L. Lassoie & T. M. Hinckley (Eds.), Techniques and Approaches in Forest Tree Ecophysiology (pp. 470–501). Boca Raton: CRC Press.Google Scholar
- Wang, G. L., & Liu, F. (2014). Carbon allocation of Chinese pine seedlings along a nitrogen addition gradient. Forest Ecology and Management, 334, 114–121.View ArticleGoogle Scholar
- Wang, G. L., Timothy, J., Xue, S., & Liu, F. (2013). Root morphology and architecture respond to N addition in Pinus tabuliformis, west China. Oecologia, 171(2), 583–590.View ArticlePubMedGoogle Scholar
- Wei, Y., Tong, Y. A., Qiao, L., Liu, X. J., Duan, M., & Li, J. (2010). Preliminary estimate of the atmospheric nitrogen deposition in different ecological regions of Shaanxi Province. Journal of Agro-Environment Science, 29(4), 795–800.Google Scholar
- Weiner, J. (1990). Plant reproductive ecology: patterns and strategies (pp. 228–245). New York: Oxford University Press.Google Scholar
- Wells, C. E., Glenn, D. M., & Eissenstat, D. M. (2002). Changes in the risk of fine-root mortality with age:a case study in peach. Prunus persica (Rosaceae). American Journal of Botany, 89(1), 79–87.View ArticlePubMedGoogle Scholar
- Xia, M. X., Guo, D. L., & Pregitzer, K. S. (2010). Ephemeral root modules in Fraxinus mandshurica. New Phytologist, 188(4), 1065–1074.View ArticlePubMedGoogle Scholar
- Yang, Y., Guo, J., Wang, G., Yang, L., & Yang, Y. (2012). Effects of drought and nitrogen addition on photosynthetic characteristics and resource allocation of Abies fabri seedlings in eastern Tibetan Plateau. New Forests, 43(4), 505–518.View ArticleGoogle Scholar