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Wu J, Li M, Fiedler S, Ma W, Wang X, Zhang X, Tietjen B. Impacts of grazing exclusion on productivity partitioning along regional plant diversity and climatic gradients in Tibetan alpine grasslands. J Environ Manage 2019; 231:635-645. [PMID: 30390448 DOI: 10.1016/j.jenvman.2018.10.097] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 09/20/2018] [Accepted: 10/26/2018] [Indexed: 06/08/2023]
Abstract
The biodiversity-productivity relationship is critical for better predicting ecosystem responses to climate change and human disturbance. However, it remains unclear about the effects of climate change, land use shifts, plant diversity, and their interactions on productivity partitioning above- and below-ground components in alpine grasslands on the Tibetan Plateau. To answer this question, we conducted field surveys at 33 grazed vs. fenced paired sites that are distributed across the alpine meadow, steppe, and desert-steppe zones on the northern Tibetan Plateau in early August of 2010-2013. Generalized additive models (GAMs) showed that aboveground net primary productivity (ANPP) linearly increased with growing season precipitation (GSP) while belowground net primary productivity (BNPP) decreased with growing season temperature (GST). Compared to grazed sites, short-term fencing did not alter the patterns of ANPP along climatic gradients but tended to decrease BNPP at moderate precipitation levels of 200 mm < GSP <450 mm. We also found that ANPP and BNPP linearly increased with species richness, ANPP decreased with Shannon diversity index, and BNPP did not correlate with the Shannon diversity index. Fencing did not alter the relationships between productivity components and plant diversity indices. Generalized additive mixed models furtherly confirmed that the interaction of localized plant diversity and climatic condition nonlinearly regulated productivity partitioning of alpine grasslands in this area. Finally, structural equation models (SEMs) revealed the direction and strength of causal links between biotic and abiotic variables within alpine grassland ecosystems. ANPP was controlled directly by GSP (0.53) and indirectly via species richness (0.41) and Shannon index (-0.12). In contrast, BNPP was influenced directly by GST (-0.43) and indirectly by GSP via species richness (0.05) and Shannon index (-0.02). Therefore, we recommend using a joint approach of GAMs and SEMs for better understanding mechanisms behind the relationship between biodiversity and ecosystem function under climate change and human disturbance.
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Affiliation(s)
- Jianshuang Wu
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Lhasa National Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modelling, 100101 Beijing, China; Freie Universität Berlin, Institute of Biology, Biodiversity/Theoretical Ecology, 14195 Berlin, Germany.
| | - Meng Li
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Lhasa National Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modelling, 100101 Beijing, China
| | - Sebastian Fiedler
- Freie Universität Berlin, Institute of Biology, Biodiversity/Theoretical Ecology, 14195 Berlin, Germany
| | - Weiling Ma
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Lhasa National Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modelling, 100101 Beijing, China
| | - Xiangtao Wang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Lhasa National Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modelling, 100101 Beijing, China; Xizang Agriculture and Animal Husbandry College, Department of Animal Sciences, 860000 Linzhi, China
| | - Xianzhou Zhang
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Lhasa National Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modelling, 100101 Beijing, China
| | - Britta Tietjen
- Freie Universität Berlin, Institute of Biology, Biodiversity/Theoretical Ecology, 14195 Berlin, Germany; Berlin-Brandenburg Institute of Advanced Biodiversity Research (BBIB), 14195 Berlin, Germany
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Zhou X, Bowker MA, Tao Y, Wu L, Zhang Y. Chronic nitrogen addition induces a cascade of plant community responses with both seasonal and progressive dynamics. Sci Total Environ 2018; 626:99-108. [PMID: 29335179 DOI: 10.1016/j.scitotenv.2018.01.025] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/24/2017] [Revised: 01/03/2018] [Accepted: 01/04/2018] [Indexed: 05/22/2023]
Abstract
Short-lived herbaceous plants provide a useful model to rapidly reveal how multiple generations of plants in natural plant communities of sensitive desert ecosystems will be affected by N deposition. We monitored dynamic responses of community structure, richness, evenness, density and biomass of herbaceous plants to experimental N addition (2:1 NH4+:NO3- added at 0, 0.5, 1, 3, 6 and 24gNm-2a-1) in three seasons in each of three years in the Gurbantunggut desert, a typical temperate desert of central Asia. We found clear rate-dependent and season-dependent effects of N deposition on each of these variables, in most cases becoming more obvious through time. N addition reduced plant richness, leading to a loss of about half of the species after three generations in the highest N application level. Evenness and density were relatively insensitive to all but the greatest levels of N addition for two generations, but negative effects emerged in the third generation. Biomass, both above and below ground, was non-linearly affected by N deposition. Low and intermediate levels of N deposition often increased biomass, whereas the highest level suppressed biomass. Stimulatory effects of intermediate N addition disappeared in the third generation. All of these responses are strongly interrelated in a cascade of changes. Notably, changes in biomass due to N deposition were mediated by declines in richness and evenness, and other changes in community structure, rather than solely being the direct outcome of release from limitation. The interrelationships between N deposition and the different plant community attributes change not only seasonally, but also progressively change through time. These temporal changes appear to be largely independent of interannual or seasonal climatic conditions.
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Affiliation(s)
- Xiaobing Zhou
- Xinjiang Institute of Ecology and Geography, Key Laboratory of Biogeography and Bioresources in Arid Land, Chinese Academy of Sciences, Urumqi 830011, China.
| | - Matthew A Bowker
- School of Forestry, Northern Arizona University, Flagstaff, AZ 86011, USA.
| | - Ye Tao
- Xinjiang Institute of Ecology and Geography, Key Laboratory of Biogeography and Bioresources in Arid Land, Chinese Academy of Sciences, Urumqi 830011, China
| | - Lin Wu
- Xinjiang Institute of Ecology and Geography, Key Laboratory of Biogeography and Bioresources in Arid Land, Chinese Academy of Sciences, Urumqi 830011, China
| | - Yuanming Zhang
- Xinjiang Institute of Ecology and Geography, Key Laboratory of Biogeography and Bioresources in Arid Land, Chinese Academy of Sciences, Urumqi 830011, China.
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