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Multidimensional stoichiometric mismatch explains differences in detritivore biomass across three forest types
Zhang, Bing; Chen, Haozhen; Deng, Mingqin; Li, Xin; Chen, Ting-Wen; Liu, Lingli2,3; Scheu, Stefan4,5; Wang, Shaopeng
2023
发表期刊JOURNAL OF ANIMAL ECOLOGY
ISSN0021-8790
卷号92期号:2页码:454-465
摘要The ecological stoichiometry theory provides a framework to understand organism fitness and population dynamics based on stoichiometric mismatch between organisms and their resources. Recent studies have revealed that different soil animals occupy distinct multidimensional stoichiometric niches (MSNs), which likely determine their specific stoichiometric mismatches and population responses facing resource changes. The goals of the present study are to examine how long-term forest plantations affect multidimensional elemental contents of litter and detritivores and the population size of detritivores that occupy distinct MSNs. We evaluated the contents of 10 elements of two detritivore taxa (lumbricid earthworms and julid millipedes) and their litter resources, quantified their MSNs and the multidimensional stoichiometric mismatches, and examined how such mismatch patterns influence the density and total biomass of detritivores across three forest types spanning from natural forests (oak forest) to plantations (pine and larch forests). Sixty-year pine plantations changed the multidimensional elemental contents of litter, but did not influence the elemental contents of the two detritivore taxa. Earthworms and millipedes exhibited distinct patterns of MSNs and stoichiometric mismatches, but they both experienced severer stoichiometric mismatches in pine plantations than in oak forests and larch plantations. Such stoichiometric mismatches led to lower density and biomass of both earthworms and millipedes in pine plantations. In other words, under conditions of low litter quality and severe stoichiometric mismatches in pine plantations, detritivores maintained their body elemental contents but decreased their population biomass. Our study illustrates the success in using the multidimensional stoichiometric framework to understand the impact of forest plantations on animal population dynamics, which may serve as a useful tool in addressing ecosystem responses to global environmental changes.
关键词biogeochemical earthworm ecological stoichiometry elemental content land-use change millipede soil animal stoichiometric niche
学科领域Ecology ; Zoology
DOI10.1111/1365-2656.13859
收录类别SCI
语种英语
WOS关键词NUTRITIONAL CONSTRAINTS ; RESOURCE STOICHIOMETRY ; SPECIES RICHNESS ; LITTER ; DETRITUS ; MONOCULTURES ; NITROGEN ; BIOGEOCHEMISTRY ; TERRESTRIAL ; PLANTATIONS
WOS研究方向Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号WOS:000899608800001
出版者WILEY
文献子类Article
出版地HOBOKEN
EISSN1365-2656
资助机构National Natural Science Foundation of China [31988102, 32122053, 31870505]
作者邮箱shaopeng.wang@pku.edu.cn
引用统计
被引频次:4[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ibcas.ac.cn/handle/2S10CLM1/29106
专题植被与环境变化国家重点实验室
作者单位1.Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Key Lab Earth Surface Proc,Minist Educ, Beijing, Peoples R China
2.Czech Acad Sci, Inst Soil Biol, Biol Ctr, Ceske Budejovice, Czech Republic
3.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Univ Gottingen, JF Blumenbach Inst Zool & Anthropol Anim Ecol, Gottingen, Germany
6.Univ Gottingen, Ctr Biodivers & Sustainable Land Use, Gottingen, Germany
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Zhang, Bing,Chen, Haozhen,Deng, Mingqin,et al. Multidimensional stoichiometric mismatch explains differences in detritivore biomass across three forest types[J]. JOURNAL OF ANIMAL ECOLOGY,2023,92(2):454-465.
APA Zhang, Bing.,Chen, Haozhen.,Deng, Mingqin.,Li, Xin.,Chen, Ting-Wen.,...&Wang, Shaopeng.(2023).Multidimensional stoichiometric mismatch explains differences in detritivore biomass across three forest types.JOURNAL OF ANIMAL ECOLOGY,92(2),454-465.
MLA Zhang, Bing,et al."Multidimensional stoichiometric mismatch explains differences in detritivore biomass across three forest types".JOURNAL OF ANIMAL ECOLOGY 92.2(2023):454-465.
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