Sampling effort and uncertainty in leaf litterfall mass and nutrient flux in northern hardwood forests

Yang, Yuanheng; Yanai, Ruth D.; See, Craig R.; Arthur, Mary A.

doi:10.1002/ecs2.1999

Cited by 11 publications

(6 citation statements)

References 32 publications

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“…Spatial distribution maps of all studied litter fractions depict higher spatial variability in a 1-ha plot. Similarly, as litter nutrient fluxes also varied substantially in our study, such variations have also been observed in different forest types at more or less similar or greater spatial scales (Yanai et al 2012;Yang et al 2017). This pattern could be due to the high density of litter traps used in this study for capturing the variability of litterfall across the site in the complex forest structure or due to differences in the canopy above the trap (Zalamea et al 2012;Xia et al 2015).…”

Section: Discussionsupporting

confidence: 71%

Can Dominant Canopy Species Leaf Litter Determine Soil Nutrient Heterogeneity? A Case Study in a Tropical Rainforest in Southwest China

Atapattu

Xia

Cao

et al. 2020

J Soil Sci Plant Nutr

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Litterfall significantly contributes to the fine-scale (defined here as < 1 ha) soil nutrient heterogeneity in the tropical forest ecosystem. However, the relationship between species-specific litter and spatial pattern of soil nutrients remains unclear. Therefore, our main aim is to test the hypothesis that dominant species-specific leaf litter contributes significantly to the fine-scale soil nutrient heterogeneity. In a Parashorea chinensis-dominated tropical rainforest in Southwest China, we selected a 1-ha plot, conducted intensive soil sampling (99 ha −1), litter trapping (99 ha −1), and top 5 species' leaf litter sorting. We then analyzed the spatial variation patterns and correlations of soil nutrients with top 5 species litter nutrient fluxes using scale-wise wavelet analysis. Our results suggested that the fine-scale spatial variability of soil nutrients was not influenced by nutrient fluxes of dominant species leaf litter, whereas total litterfall nutrient fluxes depicted clear correlations with soil nutrients in studied forest and scale. This study did not detect the signature of dominant tree species-specific leaf litter on the fine-scale soil nutrient heterogeneity. In contrast, total litterfall distinctly modified soil nutrient heterogeneity at fine-scale. Our results highlight the potential importance of whole community litter and non-leaf litter on the regulation and maintenance of fine-scale soil nutrient heterogeneity in hyper-diverse tropical rainforests.

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Section: Discussionsupporting

confidence: 71%

Can Dominant Canopy Species Leaf Litter Determine Soil Nutrient Heterogeneity? A Case Study in a Tropical Rainforest in Southwest China

Atapattu

Xia

Cao

et al. 2020

J Soil Sci Plant Nutr

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“…Variation in annual litterfall mass was high at the CP stands. The ratios of the highest to lowest annual litterfall mass and the CVs were higher than those recorded in many studies that have conducted long-term litterfall monitoring (Kouki and Hokkanen 1992;Hennessey et al 1992;Enright 1999;Starr et al 2005;Yanai et al 2012;Yang et al 2017).…”

Section: Interannual Litterfall Variationcontrasting

confidence: 62%

“…In addition, the BR species shed all their litter in winter and did not retain dead litter on trees to enhance the annual litterfall mass in the years with typhoon disturbances. The CVs for interannual litterfall variation at the BR stands at 10% in Table 4 were similar to or even lower than those for BR forests in New Zealand (CV = 20%, Alley et al 1998), the United States (CV = 14%-21%; Adam 2008;Yanai et al 2012;Yang et al 2017), and southern Taiwan (CV = 15%; Chin 2008). The relatively low litterfall variation and uniform annual litterfall mass at the BR stands may indicate that evident growth limitations are absent in Xitou.…”

Section: Interannual Litterfall Variationmentioning

confidence: 60%

Effects of typhoon disturbances on seasonal and interannual patterns of litterfall on coniferous and broadleaf plantations in Xitou, central Taiwan

Cheng

Lee

et al. 2020

Journal of Forest Research

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Many environmental and climatic disturbances can significantly change the magnitude and pattern of litterfall. This study investigated the effects of typhoon disturbances on the seasonal and interannual patterns of litterfall on coniferous and broadleaf plantation stands in Xitou, central Taiwan. Throughout the study period from 2012 to 2018, typhoon disturbances were recorded in 4 of these 7 years, whereas only minor or even no typhoon disturbances occurred in the other 3 years. Our results demonstrated that the pattern of monthly litterfall varied substantially between the coniferous and broadleaf stands. The coniferous stands exhibited a substantial litterfall pulse due to typhoon disturbances. By contrast, typhoon disturbances exerted a minor impact on the broadleaf stands. The litterfall seasonality of the coniferous stands was higher than that of the broadleaf stands, especially in the years with typhoon disturbances. Furthermore, the yearly variation caused by typhoon disturbances was distinct at the coniferous stands; the annual litterfall mass at the coniferous stands in the years with typhoon disturbances was more than twice as high as that in the years without typhoon disturbances, namely 6,000 kg ha −1 yr −1 versus 2,500 kg ha −1 yr −1 . By contrast, the annual litterfall mass at the broadleaf stands did not differ significantly among the study years. Because of high interannual variation, long-term sampling is essential for accurate estimation of annual litterfall at coniferous stands. For broadleaf plantations, interannual litterfall variation seems less critical, and spatial variability should be considered because of higher variability in terms of site conditions.

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“…The observation of lower variability in total C and N than exchangeable base cations was reported in a more spatially explicit study including the same 0.1‐ha study plots (Li et al, 2010). Lower spatial variability in total C and N than in base cations was also observed in leaf litter across northern hardwood stands (Yanai et al, 2012; Yang et al, 2017); leaf litter both reflects soil nutrient availability to plants and also contributes plant‐derived nutrients to soils.…”

Section: Discussionmentioning

confidence: 94%

How to Estimate Statistically Detectable Trends in a Time Series: A Study of Soil Carbon and Nutrient Concentrations at the Calhoun LTSE

Mobley

Yang

Yanai

et al. 2019

Soil Science Soc of Amer J

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Core Ideas Detecting change depends on soil variability, sampling effort and desired confidence. We illustrate detectable rates of change using data from the Calhoun Long‐Term Soil‐Ecosystem experiment. The sampling intensity needed to detect change varied with soil depth and chemical element. Experience at this LTSE can be used to improve long‐term soil monitoring designs. Quantifying rates of change in soil carbon and nutrients is essential to understanding the global carbon cycle as well as to guiding local management decisions. However, change in soils can be nonlinear, difficult to detect, and dependent on the depth of soil examined. The purpose of this study was to demonstrate how to quantify uncertainty in detection of soil change, which has major implications for the design of soil monitoring projects. We analyzed soils collected over five decades from a long‐term soil‐ecosystem experiment in the South Carolina Piedmont of the United States. We estimated the minimum detectable change (MDC) using a dataset of soil carbon, nitrogen, calcium, magnesium, and potassium concentrations at four soil depths (0–7.5, 7.5–15, 15–35, and 35–60 cm). Changes over time in the log‐transformed concentration at each soil depth were fit with one of three response shapes (linear, exponential, and quadratic) with the best model fit determined by a corrected AIC. The MDC analyses were conducted using repeated‐measures models. For soil depths in which elemental change was quadratic, we conducted MDC analyses separately on the decreasing and increasing limbs. We also used paired t tests to analyze the MDCs based on only the first and last sample dates. Greater sampling intensity was needed to detect equivalent proportional changes in elements at intermediate depths than at shallower or deeper depths. Our study demonstrates the importance of considering the pattern and rate of the expected change, and how that may vary by element and depth, when designing and evaluating soil monitoring studies.

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Sampling effort and uncertainty in leaf litterfall mass and nutrient flux in northern hardwood forests

Cited by 11 publications

References 32 publications

Can Dominant Canopy Species Leaf Litter Determine Soil Nutrient Heterogeneity? A Case Study in a Tropical Rainforest in Southwest China

Can Dominant Canopy Species Leaf Litter Determine Soil Nutrient Heterogeneity? A Case Study in a Tropical Rainforest in Southwest China

Effects of typhoon disturbances on seasonal and interannual patterns of litterfall on coniferous and broadleaf plantations in Xitou, central Taiwan

How to Estimate Statistically Detectable Trends in a Time Series: A Study of Soil Carbon and Nutrient Concentrations at the Calhoun LTSE

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