Global patterns and drivers of soil nematodes in response to nitrogen enrichment
文献类型:期刊论文
作者 | Xing, Wen3,4; Lu, Xiaoming5; Niu, Shuli4,6; Chen, Dima7; Wang, Jinsong4; Liu, Ya8; Wang, Bingxue4; Zhang, Shuang9; Li, Zhaolei10; Yao, Xijun2 |
刊名 | CATENA |
出版日期 | 2022-06-01 |
卷号 | 213页码:8 |
ISSN号 | 0341-8162 |
关键词 | Nitrogen deposition Soil nematode Diversity Trophic levels Ammonium toxicity Soil acidification |
DOI | 10.1016/j.catena.2022.106235 |
通讯作者 | Tian, Dashuan(tiands@igsnrr.ac.cn) |
英文摘要 | Nitrogen (N) deposition significantly lessens ecosystem N limitation, and can even cause N saturation and soil acidification. The effects of N enrichment have been globally assessed for plants, microbial diversity and biomass. However, at higher trophic levels, the global patterns and controlling factors of soil nematodes fed by plants or microbes remain unclear in context of N enrichment. Here, we presented a meta-analysis of 66 N addition experiments on nematode diversity and abundance. Our results revealed a negative dependence of nematode diversity on the N addition rate; however, not for nematode abundance. Across climate gradients, N addition reduced nematode diversity in dry regions but enhanced it in moist regions. Furthermore, N inputs suppressed nematode abundance in cold regions but promoted it in warm regions. Between different trophic levels, the abundance of high trophic-level nematodes (omnivorous-carnivorous) was reduced more than low-level groups (plant-, bacteria-and fungi-feeding nematodes). This occurred through negative N-induced effects, including increased ammonium (NH4+), soil acidification, and reduced microbial biomass. This study indicates that the considerable reduction in nematode communities due to higher N loads in the future will diminish their top down impacts on plant and microbial activities and even simplify soil food web, particularly in cold and dry areas. |
WOS关键词 | MICROBIAL BIOMASS ; ELEVATED CO2 ; FOOD-WEB ; PLANT ; DIVERSITY ; BIODIVERSITY ; METAANALYSIS ; COMMUNITY ; FERTILIZATION ; ECOSYSTEMS |
资助项目 | National Key R&D Program of China[2017YFA0604802] ; National Key R&D Program of China[2020RC003] ; Youth Innovation Promotion Association[2021050] |
WOS研究方向 | Geology ; Agriculture ; Water Resources |
语种 | 英语 |
出版者 | ELSEVIER |
WOS记录号 | WOS:000790436700004 |
资助机构 | National Key R&D Program of China ; Youth Innovation Promotion Association |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/176038] |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Tian, Dashuan |
作者单位 | 1.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Natl Hulunber Grassland Ecosyst Observat & Res St, Beijing 100081, Peoples R China 2.Inner Mongolia Land Planning Design & Res, Hohhot 010010, Peoples R China 3.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China 4.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 6.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 7.China Three Gorges Univ, Coll Biol & Pharmaceut Sci, Yichang 443002, Peoples R China 8.Jinling Inst Technol, Sch Software Engn, Nanjing 211169, Peoples R China 9.Chinese Acad Sci, Res Ctr Ecoenvironm Sci, State Key Lab Urban & Reg Ecol, Beijing 100085, Peoples R China 10.Shandong Agr Univ, Key Lab Agr Environm Univ Shandong, Coll Resources & Environm, Natl Engn Lab Efficient Utilizat Soil & Fertilize, Tai An 271018, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Xing, Wen,Lu, Xiaoming,Niu, Shuli,et al. Global patterns and drivers of soil nematodes in response to nitrogen enrichment[J]. CATENA,2022,213:8. |
APA | Xing, Wen.,Lu, Xiaoming.,Niu, Shuli.,Chen, Dima.,Wang, Jinsong.,...&Tian, Dashuan.(2022).Global patterns and drivers of soil nematodes in response to nitrogen enrichment.CATENA,213,8. |
MLA | Xing, Wen,et al."Global patterns and drivers of soil nematodes in response to nitrogen enrichment".CATENA 213(2022):8. |
入库方式: OAI收割
来源:地理科学与资源研究所
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