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Zheng X, Babst F, Camarero JJ, Li X, Lu X, Gao S, Sigdel SR, Wang Y, Zhu H, Liang E. Density-dependent species interactions modulate alpine treeline shifts. Ecol Lett 2024; 27:e14403. [PMID: 38577961 DOI: 10.1111/ele.14403] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 04/06/2024]
Abstract
Species interactions such as facilitation and competition play a crucial role in driving species range shifts. However, density dependence as a key feature of these processes has received little attention in both empirical and modelling studies. Herein, we used a novel, individual-based treeline model informed by rich in situ observations to quantify the contribution of density-dependent species interactions to alpine treeline dynamics, an iconic biome boundary recognized as an indicator of global warming. We found that competition and facilitation dominate in dense versus sparse vegetation scenarios respectively. The optimal balance between these two effects was identified at an intermediate vegetation thickness where the treeline elevation was the highest. Furthermore, treeline shift rates decreased sharply with vegetation thickness and the associated transition from positive to negative species interactions. We thus postulate that vegetation density must be considered when modelling species range dynamics to avoid inadequate predictions of its responses to climate warming.
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Affiliation(s)
- Xiangyu Zheng
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Flurin Babst
- School of Natural Resources and the Environment, University of Arizona, Tucson, Arizona, USA
- Laboratory of Tree-Ring Research, University of Arizona, Tucson, Arizona, USA
| | | | - Xiaoxia Li
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Xiaoming Lu
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Shan Gao
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Shalik Ram Sigdel
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Yafeng Wang
- College of Biology and the Environment, Nanjing Forestry University, Nanjing, China
| | - Haifeng Zhu
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
| | - Eryuan Liang
- State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER), Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, China
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Li Y, Xin Z, Yao B, Duan R, Dong X, Bao Y, Li X, Ma Y, Huang Y, Luo F, Li X, Wei X, Jiang ZR, Lozada-Gobilard S, Zhu J. Density affects plant size in the Gobi Desert. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169401. [PMID: 38114032 DOI: 10.1016/j.scitotenv.2023.169401] [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: 07/16/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/21/2023]
Abstract
Plant size is a crucial functional trait with substantial implications in agronomy and forestry. Understanding the factors influencing plant size is essential for ecosystem management and restoration efforts. Various environmental factors and plant density play significant roles in plant size. However, how plant size responds to mean annual precipitation (MAP), mean annual temperature (MAT), and density in the arid areas remains incomplete. To address this knowledge gap, we conducted comprehensive vegetation surveys in the Gobi Desert in northwestern China with a MAP below 250 mm. We also collected climate data to disentangle the respective influences of climate and density on the community-weighted plant height, crown length, and crown width. Our observations revealed that the community-weighted mean plant height, crown length, and width demonstrated a positive association with MAT but negative relationships with both MAP and density. These patterns can be attributed to the predominance of shrubs over herbs in arid regions, as shrubs tend to be larger in size. The proportion of shrubs increases with MAT, while it decreases with MAP and density, resulting in higher plant height and larger crown dimensions. Although both MAP and MAT affect plant size in the Gobi Desert, our findings highlight the stronger role of plant density in regulating plant size, indicating that the surrounding plant community and competition among individuals are crucial drivers of plant size patterns. Our findings provide valuable guidance for nature-based solutions for vegetation restoration and ecosystem management, highlighting the importance of considering plant density as a key factor when designing and implementing restoration strategies in arid areas.
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Affiliation(s)
- Yonghua Li
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Zhiming Xin
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Bin Yao
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Ruibing Duan
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xue Dong
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yanfeng Bao
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China
| | - Xinle Li
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yuan Ma
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Yaru Huang
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Fengmin Luo
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xing Li
- Experimental Center of Desert Forestry, Chinese Academy of Forestry, Dengkou County, Inner Mongolia 015200, China; Inner Mongolia Dengkou Desert Ecosystem National Observation Research Station, Dengkou 015200, China
| | - Xu Wei
- School of Life Sciences, East China Normal University, Shanghai 200241, China
| | - Zi-Ru Jiang
- Laboratory of Forest Protection, Graduate School of Bioagricultural Sciences, Nagoya University, Nagoya 4648601, Japan
| | | | - Jinlei Zhu
- Institute of Ecological Conservation and Restoration, Chinese Academy of Forestry, Beijing 100091, China; Gansu Dunhuang Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China; Kumtag Desert Ecosystem National Observation and Research Station, Dunhuang 736200, China.
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Sun K, Sun H, Lu G, Fang L, Wan Z, Tan Z. Study on the effects of stand density management of Chinese fir plantation in Northern China. FRONTIERS IN PLANT SCIENCE 2023; 14:1130299. [PMID: 37229115 PMCID: PMC10203500 DOI: 10.3389/fpls.2023.1130299] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Accepted: 04/10/2023] [Indexed: 05/27/2023]
Abstract
The aim of this study was to clarify the mechanism by which thinning alters stand structure and affects forest productivity by characterizing changes in stand quantitative maturity age, stand diameter distribution, structural heterogeneity, and forest productivity of Chinese fir plantations at different thinning times and intensities. Our findings provide insights into how the density of stands could be modified to enhance the yield and timber quality of Chinese fir plantations. The significance of differences in individual tree volume, stand volume, and timber merchantable volume was determined using one-way analysis of variance and post hoc Duncan tests. The stand quantitative maturity age was obtained using the Richards equation. The quantitative relationship between stand structure and productivity was determined using a generalized linear mixed model. We found that (1) the quantitative maturity age of Chinese fir plantations increased with thinning intensity, and the quantitative maturity age was much greater under commercial thinning than under pre-commercial thinning. (2) Individual tree volume and the proportion of medium-sized and large-sized timber merchantable volume increased with stand thinning intensity. Thinning promoted increases in stand diameter. pre-commercially thinned stands were dominated by medium-diameter trees when the quantitative maturity age was reached, whereas commercially thinned stands were dominated by large-diameter trees. The living trees volume will decrease immediately after thinning, and then it will gradually increase with the age of the stand. When the stand volume included both living trees volume and thinned volume, thinned stands increased stand volume compared with unthinned stands. In pre-commercial thinning stands, the greater the intensity of thinning, the greater the increase in stand volume, and the opposite was true for commercial thinning. (3) Thinning also reduced heterogeneity in stand structure, which was lower after commercial thinning than after pre-commercial thinning. The productivity of pre-commercially thinned stands increased with thinning intensity, whereas that of commercially thinned stands decreased with thinning intensity. (4) The structural heterogeneity of pre-commercially and commercially thinned stands was negatively and positively correlated with forest productivity, respectively. In the Chinese fir plantations in the hilly terrain of the northern Chinese fir production area, when pre-commercial thinning was performed in the ninth year to a residual density of 1750 trees per hectare, the stand quantitative maturity age was reached in year 30, medium-sized timber accounted for 75.2% of all trees, and the stand volume was 667.9 m3 per hectare. This thinning strategy is favorable for producing medium-sized Chinese fir timber. When commercial thinning was performed in year 23, the optimal residual density was 400 trees per hectare. When the stand quantitative maturity age was reached in year 31, large-sized timber accounted for 76.6% of all trees, and the stand volume was 574.5 m3 per hectare. This thinning strategy is favorable for producing large-sized Chinese fir timber.
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Affiliation(s)
- Kun Sun
- Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
- College of Forestry, Beihua University, Jilin, China
| | - Honggang Sun
- Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
| | - Guobin Lu
- Yixian Forestry Bureau, Huangshan Forestry Burea, Huangshan, Anhui, China
| | - Lejen Fang
- College of Life and Environmental Science, Huangshan University, Huangshan, China
| | - Zhibing Wan
- College of Life and Environmental Science, Huangshan University, Huangshan, China
| | - Zifeng Tan
- Research Institute of Subtropical Forestry, Chinese Academy of Forestry, Hangzhou, China
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Jiao L, Sun T, Zhang P, Yang W, Shao D, Zheng S. Effect of floral traits mediated by plant-soil feedback on the relationship between plant density and fecundity: Case study of Tamarix chinensis in the Yellow River Delta, China. Glob Ecol Conserv 2021. [DOI: 10.1016/j.gecco.2021.e01479] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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5
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Zhang R, Tielbörger K. Density-dependence tips the change of plant-plant interactions under environmental stress. Nat Commun 2020; 11:2532. [PMID: 32439842 PMCID: PMC7242385 DOI: 10.1038/s41467-020-16286-6] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Accepted: 04/06/2020] [Indexed: 11/09/2022] Open
Abstract
Facilitation studies typically compare plants under differential stress levels with and without neighbors, while the density of neighbors has rarely been addressed. However, recent empirical studies indicate that facilitation may be density-dependent too and peak at intermediate neighbor densities. Here, we propose a conceptual model to incorporate density-dependence into theory about changes of plant-plant interactions under stress. To test our predictions, we combine an individual-based model incorporating both facilitative response and effect, with an experiment using salt stress and Arabidopsis thaliana. Theoretical and experimental results are strikingly consistent: (1) the intensity of facilitation peaks at intermediate density, and this peak shifts to higher densities with increasing stress; (2) this shift further modifies the balance between facilitation and competition such that the stress-gradient hypothesis applies only at high densities. Our model suggests that density-dependence must be considered for predicting plant-plant interactions under environmental change.
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Affiliation(s)
- Ruichang Zhang
- Plant Ecology Group, University of Tübingen, Auf der Morgenstelle 5, D-72076, Tübingen, Germany.
| | - Katja Tielbörger
- Plant Ecology Group, University of Tübingen, Auf der Morgenstelle 5, D-72076, Tübingen, Germany
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Cameron H, Coulson T, Marshall DJ. Size and density mediate transitions between competition and facilitation. Ecol Lett 2019; 22:1879-1888. [PMID: 31468661 DOI: 10.1111/ele.13381] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2019] [Revised: 07/28/2019] [Accepted: 08/07/2019] [Indexed: 12/21/2022]
Abstract
Species simultaneously compete with and facilitate one another. Size can mediate transitions along this competition-facilitation continuum, but the consequences for demography are unclear. We orthogonally manipulated the size of a focal species, and the size and density of a heterospecific neighbour, in the field using a model marine system. We then parameterised a size-structured population model with our experimental data. We found that heterospecific size and density interactively altered the population dynamics of the focal species. Size determined whether heterospecifics facilitated (when small) or competed with (when large) the focal species, while density strengthened these interactions. Such size-mediated interactions also altered the pace of the focal's life history. We provide the first demonstration that size and density mediate competition and facilitation from a population dynamical perspective. We suspect such effects are ubiquitous, but currently underappreciated. We reiterate classic cautions against inferences about competitive hierarchies made in the absence of size-specific data.
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Affiliation(s)
- Hayley Cameron
- Centre for Geometric Biology, School of Biological Sciences Monash University, Melbourne, Vic., Australia
| | - Tim Coulson
- Department of Zoology University of Oxford, Oxford, OX1 3PS, UK
| | - Dustin J Marshall
- Centre for Geometric Biology, School of Biological Sciences Monash University, Melbourne, Vic., Australia
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7
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Cameron H, Marshall DJ. Can competitive asymmetries maintain offspring size variation? A manipulative field test. Evolution 2019; 73:1663-1671. [PMID: 31313289 DOI: 10.1111/evo.13790] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 05/13/2019] [Accepted: 05/16/2019] [Indexed: 01/10/2023]
Abstract
Offspring sizes vary within populations but the reasons are unclear. Game-theoretic models predict that selection will maintain offspring-size variation when large offspring are superior competitors (i.e., competition is asymmetric), but small offspring are superior colonizers. Empirical tests are equivocal, however, and typically rely on interspecific comparisons, whereas explicit intraspecific tests are rare. In a field study, we test whether offspring size affects competitive asymmetries using the sessile marine invertebrate, Bugula neritina. Surprisingly, we show that offspring size determines whether interactions are competitive or facilitative-large neighbors strongly facilitated small offspring, but also strongly competed with large offspring. These findings contradict the assumptions of classic theory-that is, large offspring were not superior competitors. Instead, smaller offspring actually benefit from interactions with large offspring-suggesting that asymmetric facilitation, rather than asymmetric competition, operates in our system. We argue that facilitation of small offspring may be more widespread than currently appreciated, and may maintain variation in offspring size via negative frequency-dependent selection. Offspring size theory has classically viewed offspring interactions through the lens of competition alone, yet our results and those of others suggest that theory should accommodate positive interactions in explorations of offspring-size variation.
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Affiliation(s)
- Hayley Cameron
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, Victoria, 3800, Australia
| | - Dustin J Marshall
- Centre for Geometric Biology, School of Biological Sciences, Monash University, Melbourne, Victoria, 3800, Australia
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8
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Woods NN, McCarthy R, Miriti MN. Non‐hierarchical competition among co‐occurring woody seedlings in a resource‐limited environment. Ecosphere 2019. [DOI: 10.1002/ecs2.2751] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Affiliation(s)
- Natasha N. Woods
- Department of Evolution, Ecology and Organismal Biology The Ohio State University 318 W. 12th Avenue Columbus Ohio 43214 USA
| | - Ryan McCarthy
- Department of Evolution, Ecology and Organismal Biology The Ohio State University 318 W. 12th Avenue Columbus Ohio 43214 USA
| | - Maria N. Miriti
- Department of Evolution, Ecology and Organismal Biology The Ohio State University 318 W. 12th Avenue Columbus Ohio 43214 USA
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9
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Ma P, Han XH, Lin Y, Moore J, Guo YX, Yue M. Exploring the relative importance of biotic and abiotic factors that alter the self-thinning rule: Insights from individual-based modelling and machine-learning. Ecol Modell 2019. [DOI: 10.1016/j.ecolmodel.2019.01.019] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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10
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Zhang WP, Jia X, Wang GX. Facilitation among plants can accelerate density-dependent mortality and steepen self-thinning lines in stressful environments. OIKOS 2017. [DOI: 10.1111/oik.03983] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Wei-Ping Zhang
- Beijing Key Laboratory of Biodiversity and Organic Farming, Key Laboratory of Plant and Soil Interactions, Ministry of Education, College of Resources and Environmental Sciences, China Agricultural Univ.; Beijing PR China
| | - Xin Jia
- Yanchi Research Station, School of Soil and Water Conservation, Beijing Forestry Univ., CN-100083; Beijing PR China
| | - Gen-Xuan Wang
- College of Life Sciences, Zhejiang Univ.; Hangzhou PR China
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