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Li S, Lu S, Li X, Hou X, Zhao X, Xu X, Zhao N. Effects of Spring Drought and Nitrogen Addition on Productivity and Community Composition of Degraded Grasslands. PLANTS (BASEL, SWITZERLAND) 2023; 12:2836. [PMID: 37570989 PMCID: PMC10421370 DOI: 10.3390/plants12152836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 07/20/2023] [Accepted: 07/29/2023] [Indexed: 08/13/2023]
Abstract
To explore whether there were differences among the patterns of response of grasslands with different levels of degradation to extreme drought events and nitrogen addition, three grasslands along a degradation gradient (extremely, moderately, and lightly degraded) were selected in the Bashang area of northern China using the human disturbance index (HDI). A field experiment with simulated extreme spring drought, nitrogen addition, and their interaction was conducted during the growing seasons of 2020 and 2021. The soil moisture, aboveground biomass, and composition of the plant community were measured. The primary results were as follows. (1) Drought treatment caused soil drought stress, with moderately degraded grassland being the most affected, which resulted in an 80% decrease in soil moisture and a 78% decrease in aboveground biomass. The addition of nitrogen did not mitigate the impact of drought. Moreover, the aboveground net primary production (ANPP) in 2021 was less sensitive to spring drought than in 2020. (2) The community composition changed after 2 years of drought treatment, particularly for the moderately degraded grasslands with annual forbs, such as Salsola collina, increasing significantly in biomass proportion, which led to a trend of exacerbated degradation (higher HDI). This degradation trend decreased under the addition of nitrogen. (3) The variation in drought sensitivities of the ANPP was primarily determined by the proportion of plants based on the classification of degradation indicators in the community, with higher proportions of intermediate degradation indicator species exhibiting more sensitivity to spring drought. These findings can help to provide scientific evidence for the governance and restoration of regional degraded grassland under frequent extreme weather conditions.
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Affiliation(s)
- Shaoning Li
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China; (S.L.); (S.L.)
- Beijing Yanshan Forest Ecosystem Positioning Observation and Research Station, Beijing 100093, China
- College of Landscape Architecture, Beijing University of Agriculture, Beijing 102203, China
| | - Shaowei Lu
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China; (S.L.); (S.L.)
- Beijing Yanshan Forest Ecosystem Positioning Observation and Research Station, Beijing 100093, China
- College of Landscape Architecture, Beijing University of Agriculture, Beijing 102203, China
| | - Xiaohui Li
- Huamugou Forest Farm, Hexigten Banner, Chifeng City, Inner Mongolia Autonomous Region, Chifeng 025350, China
| | - Xingchen Hou
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China; (S.L.); (S.L.)
- Beijing Yanshan Forest Ecosystem Positioning Observation and Research Station, Beijing 100093, China
- College of Landscape Architecture, Beijing University of Agriculture, Beijing 102203, China
| | - Xi Zhao
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China; (S.L.); (S.L.)
- Beijing Yanshan Forest Ecosystem Positioning Observation and Research Station, Beijing 100093, China
- College of Landscape Architecture, Beijing University of Agriculture, Beijing 102203, China
| | - Xiaotian Xu
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China; (S.L.); (S.L.)
- Beijing Yanshan Forest Ecosystem Positioning Observation and Research Station, Beijing 100093, China
| | - Na Zhao
- Institute of Forestry and Pomology, Beijing Academy of Agriculture and Forestry Sciences, Beijing 100093, China; (S.L.); (S.L.)
- Beijing Yanshan Forest Ecosystem Positioning Observation and Research Station, Beijing 100093, China
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Zhang Y, Ren Z, Lu H, Chen X, Liu R, Zhang Y. Autumn nitrogen enrichment destabilizes ecosystem biomass production in a semiarid grassland. FUNDAMENTAL RESEARCH 2023; 3:170-178. [PMID: 38932923 PMCID: PMC11197746 DOI: 10.1016/j.fmre.2022.08.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 08/19/2022] [Accepted: 08/19/2022] [Indexed: 11/15/2022] Open
Abstract
Nitrogen (N) deposition decreases the temporal stability of ecosystem aboveground biomass production (ecosystem stability). However, little is known about how the responses of ecosystem stability differ based on seasonal N enrichment. By adding N in autumn, winter, or growing season, from October 2014 to May 2020, in a temperate grassland in northern China, we found that only N addition in autumn resulted in a significantly positive correlation between ecosystem mean aboveground net primary productivity (ANPP) and its standard deviation and significantly reduced ecosystem stability. Autumn N-induced reduction in ecosystem stability was associated with the vanished negative effect of community-wide species asynchrony (asynchronous dynamics among populations to environmental perturbations) on the standard deviation of ecosystem ANPP in combination with the emerged positive effect of dominance (Simpson's dominance index that indicates the relative weight of dominant species in a community). Our findings indicate that autumn N addition might overestimate the negative effect of annual atmospheric N deposition on ecosystem stability, suggesting that to better evaluate the influence of N deposition in temperate grasslands, both field experiments and global modeling should consider not only the annual N load but also its seasonal dynamics. Moreover, further studies should pay more attention to the alteration in the ecosystem temporal deviations, which might be more sensitive to human-induced environmental changes.
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Affiliation(s)
- Yuqiu Zhang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing 100049, China
| | - Zhengru Ren
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing 100049, China
| | - Haining Lu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing 100049, China
| | - Xu Chen
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing 100049, China
| | - Ruoxuan Liu
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing 100049, China
| | - Yunhai Zhang
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
- University of Chinese Academy of Sciences, Yuquan Road, Beijing 100049, China
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