Asymmetric responses of terrestrial C:N:P stoichiometry to precipitation change

2021 ◽  
Author(s):  
Yuan Sun ◽  
Cuiting Wang ◽  
Han Y. H. Chen ◽  
Xuesong Luo ◽  
Nianwei Qiu ◽  
...  
Keyword(s):  
Precipitation Change ◽  
C:N:P Stoichiometry ◽  
Asymmetric Responses

Study of temperature and precipitation change in upstream mountain area of the Hexi inland river basin since 1960s

2012 ◽  
Vol 4 (6) ◽  
pp. 522 ◽  
Author(s):  
Lan Yong-Chao ◽  
Xiao Hong-Lang ◽  
Hu Xing-Lin ◽  
Ding Hong-Wei ◽  
Zou Song-Bing ◽  
...  
Keyword(s):  
River Basin ◽  
Precipitation Change ◽  
Mountain Area ◽  
Inland River ◽  
Temperature And Precipitation ◽  
Inland River Basin

Plant community C:N:P stoichiometry is mediated by soil nutrients and plant functional groups during grassland desertification

2021 ◽  
Vol 162 ◽  
pp. 106179
Author(s):  
Zhiying Ning ◽  
Xueyong Zhao ◽  
Yulin Li ◽  
Lilong Wang ◽  
Jie Lian ◽  
...  
Keyword(s):  
Functional Groups ◽  
Plant Community ◽  
Soil Nutrients ◽  
Plant Functional Groups ◽  
C:N:P Stoichiometry

scholarly journals Effects of grazing on C:N:P stoichiometry attenuate from soils to plants and insect herbivores in a semi-arid grassland

Oecologia ◽  
2021 ◽  
Author(s):  
Nazim Hassan ◽  
Xiaofei Li ◽  
Jianyong Wang ◽  
Hui Zhu ◽  
Petri Nummi ◽  
...  
Keyword(s):  
Insect Herbivores ◽  
C:N:P Stoichiometry ◽  
Semi Arid

scholarly journals Aridity Decouples C:N:P Stoichiometry Across Multiple Trophic Levels in Terrestrial Ecosystems

Ecosystems ◽  
2017 ◽  
Vol 21 (3) ◽  
pp. 459-468 ◽  
Author(s):  
Manuel Delgado-Baquerizo ◽  
David J. Eldridge ◽  
Fernando T. Maestre ◽  
Victoria Ochoa ◽  
Beatriz Gozalo ◽  
...  
Keyword(s):  
Terrestrial Ecosystems ◽  
Trophic Levels ◽  
C:N:P Stoichiometry

scholarly journals Tail Behavior and Dependence Structure in the APARCH Model

2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Farrukh Javed ◽  
Krzysztof Podgórski
Keyword(s):  
Statistical Inference ◽  
Dependence Structure ◽  
Leverage Effect ◽  
Tail Behavior ◽  
News Shocks ◽  
Negative News ◽  
Asymmetric Responses ◽  
Heavy Tailed ◽  
European Economies ◽  
Theoretical Results

AbstractThe APARCH model attempts to capture asymmetric responses of volatility to positive and negative ‘news shocks’ – the phenomenon known as the leverage effect. Despite its potential, the model’s properties have not yet been fully investigated. While the capacity to account for the leverage is clear from the defining structure, little is known how the effect is quantified in terms of the model’s parameters. The same applies to the quantification of heavy-tailedness and dependence. To fill this void, we study the model in further detail. We study conditions of its existence in different metrics and obtain explicit characteristics: skewness, kurtosis, correlations and leverage. Utilizing these results, we analyze the roles of the parameters and discuss statistical inference. We also propose an extension of the model. Through theoretical results we demonstrate that the model can produce heavy-tailed data. We illustrate these properties using S&P500 data and country indices for dominant European economies.

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