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Liu S, Han B, Li W. Self-healing time of population under dynamic disturbance. Ecol Modell 2022. [DOI: 10.1016/j.ecolmodel.2022.110015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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2
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Simulating root distribution of plant individual with a three-dimensional model. Ecol Modell 2021. [DOI: 10.1016/j.ecolmodel.2021.109649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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3
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Yang Y, Hui C. How competitive intransitivity and niche overlap affect spatial coexistence. OIKOS 2020. [DOI: 10.1111/oik.07735] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- Yinghui Yang
- School of Mathematics, Southwest Jiaotong Univ. Chengdu China
| | - Cang Hui
- Centre for Invasion Biology, Dept of Mathematical Sciences, Stellenbosch Univ. Matieland South Africa
- Biodiversity Informatics Unit, African Inst. for Mathematical Sciences Cape Town South Africa
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Ying Z, Ge G, Liu Y. The effects of clonal integration on the responses of plant species to habitat loss and habitat fragmentation. Ecol Modell 2018. [DOI: 10.1016/j.ecolmodel.2018.06.016] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
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7
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Liao J, Bearup D, Blasius B. Food web persistence in fragmented landscapes. Proc Biol Sci 2018; 284:rspb.2017.0350. [PMID: 28724729 DOI: 10.1098/rspb.2017.0350] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2017] [Accepted: 05/26/2017] [Indexed: 11/12/2022] Open
Abstract
Habitat destruction, characterized by patch loss and fragmentation, is a key driver of biodiversity loss. There has been some progress in the theory of spatial food webs; however, to date, practically nothing is known about how patch configurational fragmentation influences multi-trophic food web dynamics. We develop a spatially extended patch-dynamic model for different food webs by linking patch connectivity with trophic-dependent dispersal (i.e. higher trophic levels displaying longer-range dispersal). Using this model, we find that species display different sensitivities to patch loss and fragmentation, depending on their trophic position and the overall food web structure. Relative to other food webs, omnivory structure significantly increases system robustness to habitat destruction, as feeding on different trophic levels increases the omnivore's persistence. Additionally, in food webs with a dispersal-competition trade-off between species, intermediate levels of habitat destruction can enhance biodiversity by creating refuges for the weaker competitor. This demonstrates that maximizing patch connectivity is not always effective for biodiversity maintenance, as in food webs containing indirect competition, doing so may lead to further species loss.
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Affiliation(s)
- Jinbao Liao
- Ministry of Education's Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ziyang Road 99, 330022 Nanchang, People's Republic of China
| | - Daniel Bearup
- Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield S10 2TN, UK.,Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, Carl-von-Ossietzky-Strasse 9-11, 26111 Oldenburg, Germany
| | - Bernd Blasius
- Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, Carl-von-Ossietzky-Strasse 9-11, 26111 Oldenburg, Germany
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Sakai Y, Takada T. The analysis of an effect of seed propagation on defense strategy against pathogen transmission within clonal plant population using lattice model. J Theor Biol 2017; 427:65-76. [PMID: 28522357 DOI: 10.1016/j.jtbi.2017.05.001] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 04/27/2017] [Accepted: 05/02/2017] [Indexed: 11/30/2022]
Abstract
Many clonal plants have two breeding systems, vegetative and seed propagation. In vegetative propagation, plants reproduce genetically identical offspring that have lower mortality rates. By contrast, the seed propagated offspring has higher mortality rate, however, the seed propagation acts an important role in maintaining the genetic diversity and reproduce widely. According to the experimental studies, the balance between the breeding systems, vegetative and seed propagation, is determined by several functions, such as resource allocation. The infection and spread of systemic pathogen also affect the optimal balance of the breeding systems. Thus, we examine the effect of invasion of systemic pathogen on the optimal balance of the breeding systems of clonal plant using lattice model in two cases, single population and mixed population. In the analysis, the equilibrium and its local stability were derived using approximation method and numerical simulation in single population. Additionally, two situations were assumed in mixed population, infected and uninfected populations, and the efficacy of seed propagation on the suppression of epidemic infections was examined by comparing the results in the two situations. As a result, seed propagation is an effective defensive behavior against systemic pathogens. In the single population, the plants increase their population by increasing the proportion of seed propagation when the epidemic pathogen has highly infective. In mixed population, the increasing proportion of seed propagation is the optimal breeding strategy to defend against the spread of a systemic pathogen.
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Affiliation(s)
- Yuma Sakai
- Graduate School of Environmental Science, Hokkaido University, Kitaku-N10W5, Sapporo, Hokkaido, 060-0810, Japan.
| | - Takenori Takada
- Graduate School of Earth Science, Hokkaido University, Kitaku-N10W5, Sapporo, Hokkaido, 060-0810, Japan
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Liao J, Ying Z, Woolnough DA, Miller AD, Li Z, Nijs I. Coexistence of species with different dispersal across landscapes: a critical role of spatial correlation in disturbance. Proc Biol Sci 2017; 283:rspb.2016.0537. [PMID: 27147101 DOI: 10.1098/rspb.2016.0537] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2016] [Accepted: 04/11/2016] [Indexed: 11/12/2022] Open
Abstract
Disturbance is key to maintaining species diversity in plant communities. Although the effects of disturbance frequency and extent on species diversity have been studied, we do not yet have a mechanistic understanding of how these aspects of disturbance interact with spatial structure of disturbance to influence species diversity. Here we derive a novel pair approximation model to explore competitive outcomes in a two-species system subject to spatially correlated disturbance. Generally, spatial correlation in disturbance favoured long-range dispersers, while distance-limited dispersers were greatly suppressed. Interestingly, high levels of spatial aggregation of disturbance promoted long-term species coexistence that is not possible in the absence of disturbance, but only when the local disperser was intrinsically competitively superior. However, spatial correlation in disturbance led to different competitive outcomes, depending on the disturbed area. Concerning ecological conservation and management, we theoretically demonstrate that introducing a spatially correlated disturbance to the system or altering an existing disturbance regime can be a useful strategy either to control species invasion or to promote species coexistence. Disturbance pattern analysis may therefore provide new insights into biodiversity conservation.
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Affiliation(s)
- Jinbao Liao
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, People's Republic of China University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Zhixia Ying
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, People's Republic of China University of Chinese Academy of Sciences, Beijing 100049, People's Republic of China
| | - Daelyn A Woolnough
- Biology Department and the Institute for Great Lakes Research, Central Michigan University, Mount Pleasant, MI 48858, USA
| | - Adam D Miller
- Smithsonian Conservation Biology Institute, Front Royal, VA, USA
| | - Zhenqing Li
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, People's Republic of China
| | - Ivan Nijs
- Research Group Plant and Vegetation Ecology, Department of Biology, University of Antwerp (Campus Drie Eiken), Universiteitsplein 1, Wilrijk 2610, Belgium
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Liao J, Bearup D, Blasius B. Diverse responses of species to landscape fragmentation in a simple food chain. J Anim Ecol 2017; 86:1169-1178. [DOI: 10.1111/1365-2656.12702] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Accepted: 05/15/2017] [Indexed: 11/29/2022]
Affiliation(s)
- Jinbao Liao
- Ministry of Education's Key Laboratory of Poyang Lake Wetland and Watershed Research; Jiangxi Normal University; Nanchang China
- School of Geography and Environment; Jiangxi Normal University; Nanchang China
| | - Daniel Bearup
- Animal and Plant Sciences (APS); University of Sheffield; Sheffield UK
- Institute for Chemistry and Biology of the Marine Environment (ICBM); University of Oldenburg; Oldenburg Germany
| | - Bernd Blasius
- Institute for Chemistry and Biology of the Marine Environment (ICBM); University of Oldenburg; Oldenburg Germany
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Liao J, Bearup D, Wang Y, Nijs I, Bonte D, Li Y, Brose U, Wang S, Blasius B. Robustness of metacommunities with omnivory to habitat destruction: disentangling patch fragmentation from patch loss. Ecology 2017; 98:1631-1639. [PMID: 28369715 DOI: 10.1002/ecy.1830] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2017] [Accepted: 03/15/2017] [Indexed: 11/08/2022]
Abstract
Habitat destruction, characterized by patch loss and fragmentation, is a major driving force of species extinction, and understanding its mechanisms has become a central issue in biodiversity conservation. Numerous studies have explored the effect of patch loss on food web dynamics, but ignored the critical role of patch fragmentation. Here we develop an extended patch-dynamic model for a tri-trophic omnivory system with trophic-dependent dispersal in fragmented landscapes. We found that species display different vulnerabilities to both patch loss and fragmentation, depending on their dispersal range and trophic position. The resulting trophic structure varies depending on the degree of habitat loss and fragmentation, due to a tradeoff between bottom-up control on omnivores (dominated by patch loss) and dispersal limitation on intermediate consumers (dominated by patch fragmentation). Overall, we find that omnivory increases system robustness to habitat destruction relative to a simple food chain.
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Affiliation(s)
- Jinbao Liao
- Ministry of Education's Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ziyang Road 99, Nanchang, 330022, China
| | - Daniel Bearup
- Animal and Plant Sciences, University of Sheffield, Western Bank, Sheffield, S10 2TN, United Kingdom.,Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, Carl-von-Ossietzky-Strasse 9-11, Oldenburg, D-26111, Germany
| | - Yeqiao Wang
- Ministry of Education's Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ziyang Road 99, Nanchang, 330022, China
| | - Ivan Nijs
- Centre of Excellence Plant and Vegetation Ecology, University of Antwerp (Campus Drie Eiken), Universiteitsplein 1, Wilrijk, 2610, Belgium
| | - Dries Bonte
- Department of Biology, Terrestrial Ecology Unit, Ghent University, K. L. Ledeganckstraat 35, Ghent, B-9000, Belgium
| | - Yuanheng Li
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, 04103, Germany
| | - Ulrich Brose
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, 04103, Germany.,Institute of Ecology, Friedrich Schiller University Jena, Dornburger Strasse 159, Jena, 07743, Germany
| | - Shaopeng Wang
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Deutscher Platz 5e, Leipzig, 04103, Germany
| | - Bernd Blasius
- Institute for Chemistry and Biology of the Marine Environment (ICBM), University of Oldenburg, Carl-von-Ossietzky-Strasse 9-11, Oldenburg, D-26111, Germany
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Liao J, Chen J, Ying Z, Hiebeler DE, Nijs I. An extended patch-dynamic framework for food chains in fragmented landscapes. Sci Rep 2016; 6:33100. [PMID: 27608823 PMCID: PMC5016810 DOI: 10.1038/srep33100] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2016] [Accepted: 08/19/2016] [Indexed: 12/03/2022] Open
Abstract
Habitat destruction, a key determinant of species loss, can be characterized by two components, patch loss and patch fragmentation, where the former refers to the reduction in patch availability, and the latter to the division of the remaining patches. Classical metacommunity models have recently explored how food web dynamics respond to patch loss, but the effects of patch fragmentation have largely been overlooked. Here we develop an extended patch-dynamic model that tracks the patch occupancy of the various trophic links subject to colonization-extinction-predation dynamics by incorporating species dispersal with patch connectivity. We found that, in a simple food chain, species at higher trophic level become extinct sooner with increasing patch loss and fragmentation due to the constraint in resource availability, confirming the trophic rank hypothesis. Yet, effects of fragmentation on species occupancy are largely determined by patch loss, with maximal fragmentation effects occurring at intermediate patch loss. Compared to the spatially explicit simulations that we also performed, the current model with pair approximation generates similar community patterns especially in spatially clustered landscapes. Overall, our extended framework can be applied to model more complex food webs in fragmented landscapes, broadening the scope of existing metacommunity theory.
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Affiliation(s)
- Jinbao Liao
- Ministry of Education’s Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ziyang Road 99, 330022 Nanchang, China
| | - Jiehong Chen
- Ministry of Education’s Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ziyang Road 99, 330022 Nanchang, China
| | - Zhixia Ying
- College of Life Science, Key Laboratory of Poyang Lake Environment and Resource Utilization, Ministry of Education, Nanchang University, Nanchang 330029, China
| | - David E. Hiebeler
- Department of Mathematics and Statistics, University of Maine, 333 Neville Hall, Orono, ME 04469, USA
| | - Ivan Nijs
- Centre of Excellence Plant and Vegetation Ecology, University of Antwerp (Campus Drie Eiken), Universiteitsplein 1, 2610 Wilrijk, Belgium
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Liao J, Ying Z, Hiebeler DE, Wang Y, Takada T, Nijs I. Species extinction thresholds in the face of spatially correlated periodic disturbance. Sci Rep 2015; 5:15455. [PMID: 26482293 PMCID: PMC4612536 DOI: 10.1038/srep15455] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 09/22/2015] [Indexed: 11/09/2022] Open
Abstract
The spatial correlation of disturbance is gaining attention in landscape ecology, but knowledge is still lacking on how species traits determine extinction thresholds under spatially correlated disturbance regimes. Here we develop a pair approximation model to explore species extinction risk in a lattice-structured landscape subject to aggregated periodic disturbance. Increasing disturbance extent and frequency accelerated population extinction irrespective of whether dispersal was local or global. Spatial correlation of disturbance likewise increased species extinction risk, but only for local dispersers. This indicates that models based on randomly simulated disturbances (e.g., mean-field or non-spatial models) may underestimate real extinction rates. Compared to local dispersal, species with global dispersal tolerated more severe disturbance, suggesting that the spatial correlation of disturbance favors long-range dispersal from an evolutionary perspective. Following disturbance, intraspecific competition greatly enhanced the extinction risk of distance-limited dispersers, while it surprisingly did not influence the extinction thresholds of global dispersers, apart from decreasing population density to some degree. As species respond differently to disturbance regimes with different spatiotemporal properties, different regimes may accommodate different species.
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Affiliation(s)
- Jinbao Liao
- Ministry of Education's Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ziyang Road 99, 330022 Nanchang, China
| | - Zhixia Ying
- State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
| | - David E Hiebeler
- Department of Mathematics and Statistics, University of Maine, 333 Neville Hall, Orono, ME 04469, USA
| | - Yeqiao Wang
- Ministry of Education's Key Laboratory of Poyang Lake Wetland and Watershed Research, Jiangxi Normal University, Ziyang Road 99, 330022 Nanchang, China
| | - Takenori Takada
- Laboratory of Mathematical Ecology, Graduate School of Earth Environmental Science, Hokkaido University, 060-0810 Sapporo, Japan
| | - Ivan Nijs
- Research Group Plant and Vegetation Ecology, Department of Biology, University of Antwerp (Campus Drie Eiken), Universiteitsplein 1, B-2610 Wilrijk, Belgium
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