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Tian M, Li D, Cisse EHM, Miao L, Zhou J, Yang W, Chen B, Li L, Tian H, Ye B, Yang F. Intra- and interspecific ecophysiological responses to waterlogging stress in two contrasting waterlogging-tolerant arbor species. FRONTIERS IN PLANT SCIENCE 2023; 14:1257730. [PMID: 38023841 PMCID: PMC10679334 DOI: 10.3389/fpls.2023.1257730] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 10/12/2023] [Indexed: 12/01/2023]
Abstract
At present, establishing planted forests, typically composed of not more than two tree species, to avoid forest losses has received increasing attention. In addition, investigating the impact of environmental stress such as waterlogging on different planting patterns is essential for improving wetland ecosystem resilience. Knowledge about the impact of waterlogging on planted forests is crucial for developing strategies to mitigate its adverse effects. Here, we conducted experimentally a simulated pure and mixed planting system composed of two contrasting WL-tolerant species (Cleistocalyx operculatus and Syzygium cumini) to determine their ecophysiological responses based on the type of interaction. Results showed that the aboveground growth performance of S. cumini was better than that of C. operculatus under well-watered conditions regardless of the planting model, which is contrary to the belowground accumulation that was significantly improved in C. operculatus. Intra- and interspecific interactions in different planting models facilitated the growth performance of C. operculatus while provoking a significant competition in S. cumini under waterlogging. Such phenomenon was explained through the remarkable ability of C. operculatus to naturally increase its root network under stress on non-stress conditions compared with S. cumini. In this study, two main factors are proposed to play key roles in the remarkable performance of C. operculatus compared with S. cumini following the planting model under waterlogging. The high level of nitrogen and phosphor absorption through C. operculatus primary roots and the significant starch biosynthesis constituted the key element that characterized the facilitation or competition within the intra- or interspecific interactions shown in C. operculatus compared with S. cumini. Furthermore, the intraspecific competition is more pronounced in S. cumini than in C. operculatus when grown in a pure planting pattern, particularly when subjected to waterlogging. However, when the two species are planted together, this competition is alleviated, resulting in enhanced waterlogging tolerance.
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Affiliation(s)
- Mengjie Tian
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Dadong Li
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- School of Life Sciences, Hainan University, Haikou, China
| | - El-Hadji Malick Cisse
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- School of Life Sciences, Hainan University, Haikou, China
| | - Lingfeng Miao
- School of Plant Protection, Hainan University, Haikou, China
| | - Jingjing Zhou
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Weizong Yang
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Boshen Chen
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Lijun Li
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Huimin Tian
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Bingbing Ye
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Fan Yang
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environment Restoration Engineering of Hainan Province, School of Ecological and Environmental Sciences, Hainan University, Haikou, China
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Yang F, Zhang J, Cisse EHM, Li DD, Guo LY, Xiang LS, Miao LF. Competitive Relationship Between Cleistocalyx operculatus and Syzygium jambos Under Well-Watered Conditions Transforms Into a Mutualistic Relationship Under Waterlogging Stress. FRONTIERS IN PLANT SCIENCE 2022; 13:869418. [PMID: 35755663 PMCID: PMC9231832 DOI: 10.3389/fpls.2022.869418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
Competition and abiotic stress such as waterlogging (WL) represent main factors limiting plant growth and determining plant resistance and distribution patterns in wetland ecosystems. One of the basic steps for wetland restoration is to plant trees to ensure a quicker recovery and prevent erosion. Plant survival and adaptation are considered criteria of principal priority for the screening of plant species for wetland ecosystem restoration. WL influences plant species in wetlands via the deterioration of the plant root environment which leads to oxygen deficiency that affects plant growth, photosynthesis, respiration, and other metabolic processes. A suitable plant species was determined according to tolerance to WL during wetland vegetation recovery activities. Thus, two tree species (Cleistocalyx operculatus and Syzygium jambos) that showed a certain waterlogging tolerance were chosen to study their behaviors in different planting model and environmental conditions. Given that interspecific relationship should be considered during plant community construction, the eco-physiological adaptable mechanisms between these woody plants under well-watered condition and waterlogging stress were explored. Results showed that both species were waterlogging-tolerant species due to their ability to adapt to submergence conditions for 120 days. Moreover, C. operculatus possessed stronger tolerance to waterlogging stress because of a significant adventitious roots biomass accumulation. A competitive relationship was found between C. operculatus and S. jambos under well-watered condition, and C. operculatus showed better growth performance benefited from morphological responses (plant height, number of blade and leaf area) and endogenous hormone variations. In comparison, S. jambos suffered some negative effects when the well-watered mixed planting was used. However, the competitive relationship under well-watered condition was transformed into mutualistic relationship under waterlogging stress. The mixed planting under waterlogging condition significantly improved the tolerance of C. operculatus and S. jambos to waterlogging stress, compared with the monoculture., Especially, S. jambos showed improvements in root length, root surface area, and redox equilibration between lower levels of relative conductivity, malondialdehyde, and O 2 ⋅ - and had increased levels of non-enzymatic antioxidant components, such as reduced glutathione and soluble proteins. The interspecific relationship between C. operculatus and S. jambos was altered by waterlogging stress, and both showed improved tolerance to waterlogging stress. This study can provide a glimmer of light on suitable plant species selection and plant community construction during the revegetation activities in wetland zones. C. operculatus and S. jambos represent potential candidates in wetland restoration in a mixed planting model.
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Affiliation(s)
- Fan Yang
- School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environmental Restoration Engineering of Hainan Province, Haikou, China
| | - Juan Zhang
- School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environmental Restoration Engineering of Hainan Province, Haikou, China
| | - El-Hadji Malick Cisse
- School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- School of Life Science, Hainan University, Haikou, China
| | - Da-Dong Li
- School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environmental Restoration Engineering of Hainan Province, Haikou, China
| | - Lu-Yao Guo
- School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- Key Laboratory of Agro-Forestry Environmental Processes and Ecological Regulation of Hainan Province, Center for Eco-Environmental Restoration Engineering of Hainan Province, Haikou, China
| | - Li-Shan Xiang
- School of Ecological and Environmental Sciences, Hainan University, Haikou, China
| | - Ling-Feng Miao
- School of Ecological and Environmental Sciences, Hainan University, Haikou, China
- School of Plant Protection, Hainan University, Haikou, China
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Okoye OK, Li H, Gong Z. Retraction of invasive Spartina alterniflora and its effect on the habitat loss of endangered migratory bird species and their decline in YNNR using remote sensing technology. Ecol Evol 2020; 10:13810-13824. [PMID: 33391682 PMCID: PMC7771125 DOI: 10.1002/ece3.6971] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 09/29/2020] [Accepted: 10/09/2020] [Indexed: 02/01/2023] Open
Abstract
Wetland environment and habitat loss increase the rate of biodiversity decline and affect our ecosystems. Yancheng National Nature Reserve (YNNR) is a protected area dedicated to endangered migratory bird species to overwinter. However, it currently has a record low influx of migrating birds and might therefore be losing its founding purpose. We used remote sensing technology to assess and quantify the impacts and effects of invasive halophytes Spartina alterniflora in the habitat loss and shrinkage of endangered bird wintering habitat from 2003 to 2018. We also attempted to ascertain the causes and triggers of avian population decline and its relationship with habitat loss, as these phenomena threaten and endanger species both locally and globally. Our study shows how YNNR has lost about 80% of migratory bird habitat to invasive S. alterniflora and Phragmites australis, a native halophyte plant in the reserve. Furthermore, shoreline erosion triggered the retraction of S. alterniflora and its backward growth toward Suaeda Salsa, the preferred foraging habitat for migratory birds in the zone, which is a possible cause of their decline.
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Affiliation(s)
| | - Huan Li
- College of Harbor, Coastal and Offshore EngineeringHohai UniversityNanjingChina
| | - Zheng Gong
- College of Harbor, Coastal and Offshore EngineeringHohai UniversityNanjingChina
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Campbell AD, Wang Y. Salt marsh monitoring along the mid-Atlantic coast by Google Earth Engine enabled time series. PLoS One 2020; 15:e0229605. [PMID: 32109951 PMCID: PMC7048292 DOI: 10.1371/journal.pone.0229605] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2019] [Accepted: 02/10/2020] [Indexed: 11/19/2022] Open
Abstract
Salt marshes provide a bulwark against sea-level rise (SLR), an interface between aquatic and terrestrial habitats, important nursery grounds for many species, a buffer against extreme storm impacts, and vast blue carbon repositories. However, salt marshes are at risk of loss from a variety of stressors such as SLR, nutrient enrichment, sediment deficits, herbivory, and anthropogenic disturbances. Determining the dynamics of salt marsh change with remote sensing requires high temporal resolution due to the spectral variability caused by disturbance, tides, and seasonality. Time series analysis of salt marshes can broaden our understanding of these changing environments. This study analyzed aboveground green biomass (AGB) in seven mid-Atlantic Hydrological Unit Code 8 (HUC-8) watersheds. The study revealed that the Eastern Lower Delmarva watershed had the highest average loss and the largest net reduction in salt marsh AGB from 1999–2018. The study developed a method that used Google Earth Engine (GEE) enabled time series of the Landsat archive for regional analysis of salt marsh change and identified at-risk watersheds and salt marshes providing insight into the resilience and management of these ecosystems. The time series were filtered by cloud cover and the Tidal Marsh Inundation Index (TMII). The combination of GEE enabled Landsat time series, and TMII filtering demonstrated a promising method for historic assessment and continued monitoring of salt marsh dynamics.
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Affiliation(s)
- Anthony Daniel Campbell
- Department of Natural Resources Science, University of Rhode Island Kingston, Kingston, Rhode Island, United States of America
| | - Yeqiao Wang
- Department of Natural Resources Science, University of Rhode Island Kingston, Kingston, Rhode Island, United States of America
- * E-mail:
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Tang L, Wolf AA, Gao Y, Wang CH. Photosynthetic tolerance to non-resource stress influences competition importance and intensity in an invaded estuary. Ecology 2018; 99:1327-1337. [PMID: 29715377 DOI: 10.1002/ecy.2214] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/05/2017] [Revised: 01/04/2018] [Accepted: 02/15/2018] [Indexed: 11/06/2022]
Abstract
In an attempt to clarify the role of environmental and biotic interactions on plant growth, there has been a long-running ecological debate over whether the intensity and importance of competition stabilizes, increases or decreases across environmental gradients. We conducted an experiment in a Chinese estuary to investigate the effects of a non-resource stress gradient, soil salinity (from 1.4‰ to 19.0‰ salinity), on the competitive interactions between native Phragmites australis and invasive Spartina alterniflora. We linked these effects to measurements of photosynthetic activities to further elucidate the underlying physiological mechanism behind the competitive interactions and the driver of invasion. The experiments revealed that while biomass of both species decreased in the presence of the other, competition did not alter photosynthetic activity of either species over time. P. australis exhibited high photosynthetic activity, including low chlorophyllase activity, high chlorophyll content, high stomatal conductance and high net photosynthetic rate, at low salinity. Under these conditions, P. australis experienced low competitive intensity, leading to high biomass production and competitive exclusion of S. alterniflora. The opposite was observed for S. alterniflora: while competitive intensity experienced by P. australis increased with increasing salinity, and photosynthetic activity, biomass, competitive dominance and the importance of competition for P. australis growth decreased, those of S. alterniflora were stable. These findings demonstrate that S. alterniflora invasion driven by competitive exclusion are likely to occur and expand in high salinity zones. The change in the nature of competition along a non-resource stress gradient differs between competitors likely due to differences in photosynthetic tolerance to salinity. The driver of growth of the less-tolerant species changes from competition to non-resource stress factors with increasing stress levels, whereas competition is constantly important for growth of the more-tolerant species. Incorporating metrics of both competition intensity and importance, as well as linking these competitive outcomes with physiological mechanisms, is crucial to understanding, predicting, and mediating the effects of invasive species in the future.
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Affiliation(s)
- Long Tang
- School of Human Settlements and Civil Engineering, Xi'an Jiaotong University, 28 Xianning West Road, Xi'an, 710049, China
| | - Amelia A Wolf
- Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, New York, 10027, USA
| | - Yang Gao
- Institute of Water Resources and Hydro-Electric Engineering, Xi'an University of Technology, 5 Jinhua South Road, Xi'an, 710048, China
| | - Cheng Huan Wang
- Shanghai Key Laboratory of Urbanization and Ecological Restoration, School of Life Sciences, East China Normal University, 500 Dongchuan Road, Shanghai, 200241, China
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Liu P, Shi R, Zhang C, Zeng Y, Wang J, Tao Z, Gao W. Integrating multiple vegetation indices via an artificial neural network model for estimating the leaf chlorophyll content of Spartina alterniflora under interspecies competition. ENVIRONMENTAL MONITORING AND ASSESSMENT 2017; 189:596. [PMID: 29086121 DOI: 10.1007/s10661-017-6323-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2017] [Accepted: 10/20/2017] [Indexed: 06/07/2023]
Abstract
The invasive species Spartina alterniflora and native species Phragmites australis display a significant co-occurrence zonation pattern and this co-exist region exerts most competitive situations between these two species, competing for the limited space, directly influencing the co-exist distribution in the future. However, these two species have different growth ratios in this area, which increase the difficulty to detect the distribution situation directly by remote sensing. As chlorophyll content is a key indicator of plant growth and physiological status, the objective of this study was to reduce the effect of interspecies competition when estimating Cab content; we evaluated 79 published representative indices to determine the optimal indices for estimating the chlorophyll a and b (Cab) content. After performing a sensitivity analysis for all 79 spectral indices, five spectral indices were selected and integrated using an artificial neural network (ANN) to estimate the Cab content of different competition ratios: the Gitelson ratio green index, the transformed chlorophyll absorption ratio index/optimized soil-adjusted vegetation index, the modified normalized difference vegetation index, the chlorophyll fluorescence index, and the Vogelmann chlorophyll index. The ANN method yielded better results (R 2 = 0.7110 and RMSE = 8.3829 μg cm-2) on average than the best single spectral index (R 2 = 0.6319 and RMSE = 9.3535 μg cm-2), representing an increase of 10.78% in R 2 and a decrease of 10.38% in RMSE. Our results indicated that integrating multiple vegetation indices with an ANN can alleviate the impact of interspecies competition and achieve higher estimation accuracy than the traditional approach using a single index.
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Affiliation(s)
- Pudong Liu
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
- School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
- Joint Laboratory for Environment Remote Sensing and Data Assimilation, East China Normal University & Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Shanghai, 200241, China
- Joint Research Institute for New Energy and the Environment, East China Normal University and Colorado State University, Shanghai, 200062, China
| | - Runhe Shi
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China.
- School of Geographic Sciences, East China Normal University, Shanghai, 200241, China.
- Joint Laboratory for Environment Remote Sensing and Data Assimilation, East China Normal University & Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Shanghai, 200241, China.
- Joint Research Institute for New Energy and the Environment, East China Normal University and Colorado State University, Shanghai, 200062, China.
| | - Chao Zhang
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
- School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
- Joint Laboratory for Environment Remote Sensing and Data Assimilation, East China Normal University & Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Shanghai, 200241, China
| | - Yuyan Zeng
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
- School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
- Joint Laboratory for Environment Remote Sensing and Data Assimilation, East China Normal University & Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Shanghai, 200241, China
| | - Jiapeng Wang
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
- School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
- Joint Laboratory for Environment Remote Sensing and Data Assimilation, East China Normal University & Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Shanghai, 200241, China
| | - Zhu Tao
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
- School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
- Joint Laboratory for Environment Remote Sensing and Data Assimilation, East China Normal University & Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Shanghai, 200241, China
| | - Wei Gao
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai, 200241, China
- School of Geographic Sciences, East China Normal University, Shanghai, 200241, China
- Joint Laboratory for Environment Remote Sensing and Data Assimilation, East China Normal University & Institute of Remote Sensing and Digital Earth Chinese Academy of Sciences, Shanghai, 200241, China
- Joint Research Institute for New Energy and the Environment, East China Normal University and Colorado State University, Shanghai, 200062, China
- Natural Resource Ecology Laboratory and Department of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, CO, 80523, USA
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Qi M, Sun T, Zhang H, Zhu M, Yang W, Shao D, Voinov A. Maintenance of salt barrens inhibited landward invasion of Spartina
species in salt marshes. Ecosphere 2017. [DOI: 10.1002/ecs2.1982] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Affiliation(s)
- Man Qi
- State Key Laboratory of Water Environment Simulation; School of Environment; Beijing Normal University; Beijing 100875 China
- Faculty of Geo-Information Science and Earth Observation (ITC); University of Twente; P.O. Box 217 7500 AE Enschede The Netherlands
| | - Tao Sun
- State Key Laboratory of Water Environment Simulation; School of Environment; Beijing Normal University; Beijing 100875 China
| | - Heyue Zhang
- State Key Laboratory of Water Environment Simulation; School of Environment; Beijing Normal University; Beijing 100875 China
| | - Meisha Zhu
- State Key Laboratory of Water Environment Simulation; School of Environment; Beijing Normal University; Beijing 100875 China
| | - Wei Yang
- State Key Laboratory of Water Environment Simulation; School of Environment; Beijing Normal University; Beijing 100875 China
| | - Dongdong Shao
- State Key Laboratory of Water Environment Simulation; School of Environment; Beijing Normal University; Beijing 100875 China
| | - Alexey Voinov
- Faculty of Geo-Information Science and Earth Observation (ITC); University of Twente; P.O. Box 217 7500 AE Enschede The Netherlands
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Invasive Eichhornia crassipes Affects the Capacity of Submerged Macrophytes to Utilize Nutrients. SUSTAINABILITY 2017. [DOI: 10.3390/su9040565] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
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Yuan Y, Zhang C, Li D. The Effect of Artificial Mowing on the Competition of Phragmites australis and Spartina alterniflora in the Yangtze Estuary. SCIENTIFICA 2017; 2017:7853491. [PMID: 28348921 PMCID: PMC5350428 DOI: 10.1155/2017/7853491] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 12/20/2016] [Accepted: 01/16/2017] [Indexed: 06/06/2023]
Abstract
Spartina alterniflora Loisel. is one of the most invasive species in the world. However, little is known about the role of artificial mowing in its invasiveness and competiveness. In this work, we studied the effect of mowing on its interspecific interactions with native species Phragmites australis (Cav.) Trin ex Steud of the Yangtze Estuary, China. We calculated their relative neighbor effect (RNE) index, effect of relative crowding (Dr ) index, and interaction strength (I) index. The results showed that the RNE of Phragmites australis and Spartina alterniflora was 0.354 and 0.619, respectively, and they have competitive interactions. The mowing treatments can significantly influence the RNE of Phragmites australis and Spartina alterniflora on each other. Concretely, the RNE of Spartina alterniflora in the removal treatments was significantly higher than the value in the controls. But the RNE of Phragmites australis in the removal treatments was significantly lower than the value in the controls. Meanwhile, Dr of the two species on the targets was higher in the removal treatments than that in the controls, and the opposite was for I. We concluded that artificial mowing could promote the invasion of Spartina alterniflora by increasing its competitive performance compared with native species.
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Affiliation(s)
- Yue Yuan
- Research Institute of Forestry Policy and Information, Chinese Academy of Forestry, Beijing 100091, China
| | - Chao Zhang
- Key Laboratory of Geographic Information Science, Ministry of Education, East China Normal University, Shanghai 200241, China
- State Key Laboratory of Estuarine and Coastal Research, East China Normal University, Shanghai 200062, China
| | - Dezhi Li
- Department of Environmental Science, East China Normal University, 500 N. Dongchuan Rd, Shanghai 200241, China
- Shanghai Key Laboratory of Urbanization and Ecological Restoration, Shanghai, China
- National Field Observation and Research Station in the Tiantong Forest Ecosystem of Zhejiang, Ningbo, China
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Sediment type affects competition between a native and an exotic species in coastal China. Sci Rep 2014; 4:6748. [PMID: 25339574 PMCID: PMC4206839 DOI: 10.1038/srep06748] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2014] [Accepted: 10/02/2014] [Indexed: 12/03/2022] Open
Abstract
Different types of sediments in salt marsh have different physical and chemical characters. Thus sediment type plays a role in plant competition and growth in salt marsh ecosystems. Spartina anglica populations have been increasingly confined to upper elevation gradients of clay, and the niche sediment has changed. Because the niches of S. anglica and the native species Scirpus triqueter overlap, we conducted a greenhouse experiment to test the hypothesis that plant competition has changed under different types of sediments. Biomass and asexual reproduction were analyzed, and inter- and intraspecific competition was measured by log response ratio for the two species in both monoculture and combination under three sediment types (sand, clay and mixture of sand and clay). For S. anglica, biomass, ramet number and rhizome length in combination declined significantly compared with those in monoculture, and the intensity of interspecific competition was significantly higher than that of intraspecific competition under all sediments. For S. triqueter, the intensities of intra- and interspecific competition were not significantly different. This indicates that S. triqueter exerts an asymmetric competitive advantage over S. anglica across all sediments, but especially clay. Thus the sediment type changes competition between S. anglica and S. triqueter.
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Liu H, Lin Z, Qi X, Zhang M, Yang H. The relative importance of sexual and asexual reproduction in the spread of Spartina alterniflora using a spatially explicit individual-based model. Ecol Res 2014. [DOI: 10.1007/s11284-014-1181-y] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
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