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Zhang L, Luo Z, Guo X, Zhang Y, Deng Y, Wang M, Wang W. Invasibility framework to predict the early colonization of alien Sonneratia in mangrove: Implications for coastal area management. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 364:121461. [PMID: 38889649 DOI: 10.1016/j.jenvman.2024.121461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 05/07/2024] [Accepted: 06/09/2024] [Indexed: 06/20/2024]
Abstract
Invasibility, or an ecosystem's susceptibility to invasion, plays a critical role in managing biological invasions but is challenging to quantify due to its dependence on specific ecosystem variables. This limitation restricts the practical application of this concept in the control of alien species. This study aims to simplify invasibility into measurable components and develop an applicable framework to predict early colonization of alien plants within the coastal mangrove ecosystem. We used the unchanneled path length (UPL), a widely applied hydrological connectivity-related indicator, to assess the accessibility of the mangrove. The enhanced vegetation index (EVI), positively correlated with above-ground biomass, was used to evaluate the potential competitive intensity. Firstly, building on existing studies, we developed a four-quadrant concept model integrating the effects of EVI and UPL on the early colonization of the alien species Sonneratia apetala. Our results revealed significant differences in EVI and UPL values between colonized and uncolonized areas, with colonized regions displaying markedly lower values (PÂ <Â 0.001). Additionally, logistic regression showed a significant negative association between the probability of successful colonization by S. apetala and both indicators (PÂ <Â 0.001). These results validate the effectiveness of our conceptual model. Furtherly, we identified four key niche opportunities for exotic species in mangrove: mudflats outside the mangrove forest, tidal creeks, canopy gaps, and unmanaged abandoned aquaculture ponds. Overall, this study provides important insight into the ecological processes of alien S. apetala colonization and practical information for management of coastal areas susceptible to invasion. Additionally, it presents a case study on the practical application of the concept of invasibility in the management of alien species.
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Affiliation(s)
- Lin Zhang
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Zhangjiang Estuary Mangrove Wetland Ecosystem Station, National Observation and Research Station for the Taiwan Strait Marine Ecosystem, Xiamen University, Zhangzhou, 363000, China.
| | - Zifeng Luo
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Zhangjiang Estuary Mangrove Wetland Ecosystem Station, National Observation and Research Station for the Taiwan Strait Marine Ecosystem, Xiamen University, Zhangzhou, 363000, China.
| | - Xianxian Guo
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Zhangjiang Estuary Mangrove Wetland Ecosystem Station, National Observation and Research Station for the Taiwan Strait Marine Ecosystem, Xiamen University, Zhangzhou, 363000, China; Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, 130102, China.
| | - Yamian Zhang
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Zhangjiang Estuary Mangrove Wetland Ecosystem Station, National Observation and Research Station for the Taiwan Strait Marine Ecosystem, Xiamen University, Zhangzhou, 363000, China.
| | - Yijuan Deng
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Zhangjiang Estuary Mangrove Wetland Ecosystem Station, National Observation and Research Station for the Taiwan Strait Marine Ecosystem, Xiamen University, Zhangzhou, 363000, China.
| | - Mao Wang
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Zhangjiang Estuary Mangrove Wetland Ecosystem Station, National Observation and Research Station for the Taiwan Strait Marine Ecosystem, Xiamen University, Zhangzhou, 363000, China.
| | - Wenqing Wang
- Fujian Provincial Key Laboratory for Coastal Ecology and Environmental Studies, College of the Environment and Ecology, Xiamen University, Fujian, 361102, China; Zhangjiang Estuary Mangrove Wetland Ecosystem Station, National Observation and Research Station for the Taiwan Strait Marine Ecosystem, Xiamen University, Zhangzhou, 363000, China.
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Rossignaud L, Kimberley MO, Kelly D, Fei S, Brockerhoff EG. Effects of competition and habitat heterogeneity on nativeâexotic plant richness relationships across spatial scales. DIVERS DISTRIB 2022. [DOI: 10.1111/ddi.13516] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Affiliation(s)
| | | | - Dave Kelly
- School of Biological Sciences University of Canterbury Christchurch New Zealand
| | - Songlin Fei
- Department of Forestry and Natural Resources Purdue University West Lafayette Indiana USA
| | - Eckehard G. Brockerhoff
- School of Biological Sciences University of Canterbury Christchurch New Zealand
- Scion (New Zealand Forest Research Institute) Christchurch New Zealand
- Swiss Federal Research Institute WSL Birmensdorf Switzerland
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Vedder D, Leidinger L, Sarmento Cabral J. Propagule pressure and an invasion syndrome determine invasion success in a plant community model. Ecol Evol 2021; 11:17106-17116. [PMID: 34938496 PMCID: PMC8668767 DOI: 10.1002/ece3.8348] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2021] [Revised: 09/29/2021] [Accepted: 10/21/2021] [Indexed: 11/16/2022] Open
Abstract
The success of species invasions depends on multiple factors, including propagule pressure, disturbance, productivity, and the traits of native and non-native species. While the importance of many of these determinants has already been investigated in relative isolation, they are rarely studied in combination. Here, we address this shortcoming by exploring the effect of the above-listed factors on the success of invasions using an individual-based mechanistic model. This approach enables us to explicitly control environmental factors (temperature as surrogate for productivity, disturbance, and propagule pressure) as well as to monitor whole-community trait distributions of environmental adaptation, mass, and dispersal abilities. We simulated introductions of plant individuals to an oceanic island to assess which factors and species traits contribute to invasion success. We found that the most influential factors were higher propagule pressure and a particular set of traits. This invasion trait syndrome was characterized by a relative similarity in functional traits of invasive to native species, while invasive species had on average higher environmental adaptation, higher body mass, and increased dispersal distances, that is, had greater competitive and dispersive abilities. Our results highlight the importance in management practice of reducing the import of alien species, especially those that display this trait syndrome and come from similar habitats as those being managed.
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Affiliation(s)
- Daniel Vedder
- Ecosystem Modeling GroupCenter for Computational and Theoretical BiologyUniversity of WĂŒrzburgWĂŒrzburgGermany
| | - Ludwig Leidinger
- Ecosystem Modeling GroupCenter for Computational and Theoretical BiologyUniversity of WĂŒrzburgWĂŒrzburgGermany
| | - Juliano Sarmento Cabral
- Ecosystem Modeling GroupCenter for Computational and Theoretical BiologyUniversity of WĂŒrzburgWĂŒrzburgGermany
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Pastick J, Maurer D, Fahey RT. Testing the effect of restorationâfocused silviculture on oak regeneration and groundlayer plant communities in urbanâexurban oak woodlands. Restor Ecol 2020. [DOI: 10.1111/rec.13307] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Jillian Pastick
- Department of Natural Resources and the Environment & Center for Environmental Sciences and Engineering University of Connecticut Storrs CT U.S.A
| | - Deborah Maurer
- Lake County (IL) Forest Preserve District Libertyville IL U.S.A
- The Nature Conservancy â North Carolina NC USA
| | - Robert T. Fahey
- Department of Natural Resources and the Environment & Center for Environmental Sciences and Engineering University of Connecticut Storrs CT U.S.A
- Center for Tree Science The Morton Arboretum Lisle IL U.S.A
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Nunez-Mir GC, Guo Q, RejmĂĄnek M, Iannone BV, Fei S. Predicting invasiveness of exotic woody species using a traits-based framework. Ecology 2019; 100:e02797. [PMID: 31234233 DOI: 10.1002/ecy.2797] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2018] [Revised: 03/27/2019] [Accepted: 05/28/2019] [Indexed: 11/10/2022]
Abstract
Identifying potentially invasive species and preventing their introduction and establishment are of critical importance in invasion ecology and land management. Although an extensive body of research has been dedicated to identifying traits that confer invasiveness, our current knowledge is still often inconclusive due to limitations in geographic extent and/or scope of traits analyzed. Here, using a comprehensive set of 45 traits, we performed a case study of invasive traits displayed by exotic woody plants in the United States (U.S.) by comparing 63 invasive and 794 non-invasive exotic woody plant species naturalized across the country. We found that invasive woody species often bear the following two key traits: vegetative reproduction and long-distance seed dispersal (via water, birds or mammals). Boosted classification tree models based on these traits accurately predicted species invasiveness (86% accuracy on average). Presented findings provide a generalized understanding of the relative importance of functional traits in identifying potentially invasive woody species in the U.S. The knowledge generated in this study can be used to improve current classification systems of non-native woody plants used by various U.S. governmental agencies and land managers.
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Affiliation(s)
- Gabriela C Nunez-Mir
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, 47906, USA
| | - Qinfeng Guo
- USDA Forest Service, Eastern Forest Environmental Threat Assessment Center, 3041 East Cornwallis Road, Research Triangle Park, North Carolina, 27709, USA
| | - Marcel RejmĂĄnek
- Department of Evolution and Ecology, University of California, Davis, California, 95616, USA
| | - Basil V Iannone
- School of Forest Resources and Conservation, University of Florida, Gainesville, Florida, 32611, USA
| | - Songlin Fei
- Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana, 47906, USA
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Iannone III BV, Potter KM, Guo Q, Jo I, Oswalt CM, Fei S. Environmental harshness drives spatial heterogeneity in biotic resistance. NEOBIOTA 2018. [DOI: 10.3897/neobiota.40.28558] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
Ecological communities often exhibit greater resistance to biological invasions when these communities consist of species that are not closely related. The effective size of this resistance, however, varies geographically. Here we investigate the drivers of this heterogeneity in the context of known contributions of native trees to the resistance of forests in the eastern United States of America to plant invasions. Using 42,626 spatially referenced forest community observations, we quantified spatial heterogeneity in relationships between evolutionary relatedness amongst native trees and both invasive plant species richness and cover. We then modelled the variability amongst the 91 ecological sections of our study area in the slopes of these relationships in response to three factors known to affect invasion and evolutionary relationships âenvironmental harshness (as estimated via tree height), relative tree density and environmental variability. Invasive species richness and cover declined in plots having less evolutionarily related native trees. The degree to which they did, however, varied considerably amongst ecological sections. This variability was explained by an ecological sectionâs mean maximum tree height and, to a lesser degree, SD in maximum tree height (R2GLMM = 0.47 to 0.63). In general, less evolutionarily related native tree communities better resisted overall plant invasions in less harsh forests and in forests where the degree of harshness was more homogenous. These findings can guide future investigations aimed at identifying the mechanisms by which evolutionary relatedness of native species affects exotic species invasions and the environmental conditions under which these effects are most pronounced.
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Iannone BV, Heneghan L, Rijal D, Wise DH. Below-ground causes and consequences of woodland shrub invasions: a novel paired-point framework reveals new insights. J Appl Ecol 2014. [DOI: 10.1111/1365-2664.12354] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Basil V. Iannone
- Department of Forestry and Natural Resources; Purdue University; West Lafayette IN 47907 USA
| | - Liam Heneghan
- Department of Environmental Science and Studies; DePaul University; Chicago IL 60614 USA
| | - Dev Rijal
- Department of Biological Sciences; University of Illinois at Chicago; Chicago IL 60607 USA
| | - David H. Wise
- Department of Biological Sciences; University of Illinois at Chicago; Chicago IL 60607 USA
- Institute for Environmental Science and Policy; University of Illinois at Chicago; Chicago IL 60612 USA
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