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Graham CH, Araujo ML, Barreto E, Dambros CS, Diniz-Filho JAF, Zimmermann NE, Rangel TF, Coelho MTP. Biodiversity Patterns Redefined in Environmental Space. Ecol Lett 2025; 28:e70008. [PMID: 39968787 DOI: 10.1111/ele.70008] [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: 06/05/2024] [Revised: 09/02/2024] [Accepted: 09/25/2024] [Indexed: 02/20/2025]
Abstract
Ecological and evolutionary questions addressing diversity-environment relationships have been evaluated almost entirely in geographic space, yet most hypotheses are formulated in terms of environmental conditions. Recent examples evaluating macroecological patterns directly in environmental space suggest that such refocusing provides different perspectives on the mechanisms driving broad-scale patterns of diversity. Yet, we lack both conceptual frameworks and targeted studies to fully evaluate the potential contribution of such a refocus. Here, we focus on the concept of environmental space by briefly reviewing its use in ecology and evolution and suggesting avenues for further development. We encourage a re-evaluation of hypotheses and frameworks that have dominated ecological theory since the foundations of ecology with a very simple shift in the lens, that is, from geographical to environmental space. Focusing on environmental space also provides a crucial lens for climate change research, enabling a comprehensive evaluation of biodiversity dynamics and offering a holistic view of the interplay between species and their evolving environments. This shift enhances our ability to predict and adapt to future changes, enriching our understanding of biodiversity beyond more commonly done geographic analyses.
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Affiliation(s)
- Catherine H Graham
- Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland
| | | | - Elisa Barreto
- Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland
| | - Christian S Dambros
- Programa de Pós-Graduação Em Biodiversidade Animal, Departamento de Ecologia e Evolução, Universidade Federal de Santa Maria, Santa Maria, Brazil
| | | | - Niklaus E Zimmermann
- Swiss Federal Institute for Forest, Snow and Landscape Research, Birmensdorf, Switzerland
| | - Thiago F Rangel
- Departamento de Ecologia, Universidade Federal de Goiás, Goiânia, Brazil
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Štípková Z, Kindlmann P. Distribution of Population Sizes in Metapopulations of Threatened Organisms-Implications for Conservation of Orchids. PLANTS (BASEL, SWITZERLAND) 2025; 14:369. [PMID: 39942931 PMCID: PMC11821161 DOI: 10.3390/plants14030369] [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: 11/19/2024] [Revised: 01/23/2025] [Accepted: 01/23/2025] [Indexed: 02/16/2025]
Abstract
Species are disappearing worldwide, and it is likely that the rate of their disappearance will increase. The most important factors responsible for this are assumed to be changes in climate and land use. To determine the probability of extinction of a given species, it must be viewed as a metapopulation composed of many populations. In plants, seeds are spread by wind or water (passive dispersers), unlike active dispersers, which can actively look for a suitable site of their species. Thus, while active dispersers can locate a suitable site, passive dispersers often fail to arrive at a suitable site. The following question arises: is it better for the survival of a metapopulation of passive dispersers to concentrate on conserving a few large populations, each of which will produce many propagules, or on many small populations, each of which will produce only few propagules? Here, we address the question of which of these strategies will maximize the likelihood of the survival of such a metapopulation, using orchids as a model. We concluded that small populations should be preferentially preserved. Small populations are more numerous and more likely to occur more widely in the region studied and therefore a larger proportion of the seeds they produce is more likely to land in suitable habitats than that produced by the fewer large populations. For conservation, there is a possibility to extend the results to other taxa. However, this must be carried out with caution and must consider the taxon in question.
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Affiliation(s)
- Zuzana Štípková
- Global Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech Republic;
| | - Pavel Kindlmann
- Global Change Research Institute CAS, Bělidla 986/4a, 60300 Brno, Czech Republic;
- Institute for Environmental Studies, Faculty of Science, Charles University, Benátská 2, 12900 Prague, Czech Republic
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Traxmandlová I, Steffelová M, Kindlmann P. Does Reproductive Success in Orchids Affect the Evolution of Their Number of Flowers? PLANTS (BASEL, SWITZERLAND) 2025; 14:204. [PMID: 39861557 PMCID: PMC11769306 DOI: 10.3390/plants14020204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2024] [Revised: 12/31/2024] [Accepted: 01/09/2025] [Indexed: 01/27/2025]
Abstract
Species are disappearing worldwide, and changes in climate and land use are commonly assumed to be the most important causes. Organisms are counteracting the negative effects of environmental factors on their survival by evolving various defence strategies, which positively affect their fitness. Here, the question addressed is: can evolution shape these defence strategies so that they positively affect the fitness of an organism? This question is complex and depends on the taxa and environmental factors. Therefore, here, only a special case of this question is studied in deceptive species of orchids: reproductive success (RS, ratio of the number of fruits to the number of flowers produced by a plant during the whole season), a commonly used measure of fitness is used to develop a model describing how RS affects the number of flowers, n, of a plant. This model predicts that: (i) the resulting relationship between RS and n is a positively skewed parabola, (ii) the distribution of the numbers of individuals with a specific number (n) of flowers, NI(n), also resembles a parabola and is also positively skewed, and that (iii) the peak of the distribution of NI is to the left of the peak of RS. A large set of data is presented that supports these predictions. If the data set is small, the concave positively skewed parabolic RS-n dependence is obscured by other factors.
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Affiliation(s)
- Iva Traxmandlová
- Centre for Biology, Geoscience and Environmental Education, Faculty of Education, University of West Bohemia, Univerzitní 22, 30100 Pilsen, Czech Republic
| | - Michaela Steffelová
- Institute for Environmental Studies, Faculty of Science, Charles University, Benátská 2, 12900 Prague, Czech Republic; (M.S.); (P.K.)
| | - Pavel Kindlmann
- Institute for Environmental Studies, Faculty of Science, Charles University, Benátská 2, 12900 Prague, Czech Republic; (M.S.); (P.K.)
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Williamson J, Lu M, Camus MF, Gregory RD, Maclean IMD, Rocha JC, Saastamoinen M, Wilson RJ, Bridle J, Pigot AL. Clustered warming tolerances and the nonlinear risks of biodiversity loss on a warming planet. Philos Trans R Soc Lond B Biol Sci 2025; 380:20230321. [PMID: 39780588 PMCID: PMC11720646 DOI: 10.1098/rstb.2023.0321] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 09/30/2024] [Accepted: 11/04/2024] [Indexed: 01/11/2025] Open
Abstract
Anthropogenic climate change is projected to become a major driver of biodiversity loss, destabilizing the ecosystems on which human society depends. As the planet rapidly warms, the disruption of ecological interactions among populations, species and their environment, will likely drive positive feedback loops, accelerating the pace and magnitude of biodiversity losses. We propose that, even without invoking such amplifying feedback, biodiversity loss should increase nonlinearly with warming because of the non-uniform distribution of biodiversity. Whether these non-uniformities are the uneven distribution of populations across a species' thermal niche, or the uneven distribution of thermal niche limits among species within an ecological community, we show that in both cases, the resulting clustering in population warming tolerances drives nonlinear increases in the risk to biodiversity. We discuss how fundamental constraints on species' physiologies and geographical distributions give rise to clustered warming tolerances, and how population responses to changing climates could variously temper, delay or intensify nonlinear dynamics. We argue that nonlinear increases in risks to biodiversity should be the null expectation under warming, and highlight the empirical research needed to understand the causes, commonness and consequences of clustered warming tolerances to better predict where, when and why nonlinear biodiversity losses will occur.This article is part of the discussion meeting issue 'Bending the curve towards nature recovery: building on Georgina Mace's legacy for a biodiverse future'.
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Affiliation(s)
- Joseph Williamson
- Department of Genetics, Evolution and Environment, University College London, LondonWC1E 6BT, UK
| | - Muyang Lu
- Department of Genetics, Evolution and Environment, University College London, LondonWC1E 6BT, UK
- College of Life Science, Sichuan University, Chengdu610065, China
| | - M. Florencia Camus
- Department of Genetics, Evolution and Environment, University College London, LondonWC1E 6BT, UK
| | - Richard D. Gregory
- Department of Genetics, Evolution and Environment, University College London, LondonWC1E 6BT, UK
- RSPB Centre for Conservation Science, Sandy, BedfordshireSG19 2DL, UK
| | - Ilya M. D. Maclean
- Environment & Sustainability Institute, University of Exeter, Penryn Campus, ExeterTR10 9FE, UK
| | - Juan C. Rocha
- The Anthropocene Laboratory, Royal Swedish Academy of Sciences, Stockholm114 18, Sweden
- Stockholm Resilience Centre, Stockholm University, Stockholm106 91, Sweden
| | - Marjo Saastamoinen
- Research Centre for Ecological Change, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Helsinki00014, Finland
| | - Robert J. Wilson
- Department of Biogeography and Global Change, Museo Nacional de Ciencias Naturales, Madrid28006, Spain
| | - Jon Bridle
- Department of Genetics, Evolution and Environment, University College London, LondonWC1E 6BT, UK
| | - Alex L. Pigot
- Department of Genetics, Evolution and Environment, University College London, LondonWC1E 6BT, UK
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Tsiftsis S, Štípková Z, Rejmánek M, Kindlmann P. Predictions of species distributions based only on models estimating future climate change are not reliable. Sci Rep 2024; 14:25778. [PMID: 39468261 PMCID: PMC11519670 DOI: 10.1038/s41598-024-76524-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Accepted: 10/15/2024] [Indexed: 10/30/2024] Open
Abstract
Changes in climate and land use are the most often mentioned factors responsible for the current decline in species diversity. To reduce the effect of these factors, we need reliable predictions of future species distributions. This is usually done by utilizing species distribution models (SDMs) based on expected climate. Here we explore the accuracy of such projections: we use orchid (Orchidaceae) recordings and environmental (mainly climatic) data from the years 1901-1950 in SDMs to predict maps of potential species distributions in 1980-2014. This should enable us to compare the predictions of species distributions in 1980-2014, based on records of species distribution in the years 1901-1950, with real data in the 1980-2014 period. We found that the predictions of the SDMs often differ from reality in this experiment. The results clearly indicate that SDM predictions of future species distributions as a reaction to climate change must be treated with caution.
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Affiliation(s)
- Spyros Tsiftsis
- Department of Forest and Natural Environment Sciences, Democritus University of Thrace, 66132, Drama, Greece.
| | - Zuzana Štípková
- Global Change Research Institute AS CR, Bělidla 986/4a, 60300, Brno, Czech Republic
| | - Marcel Rejmánek
- Department of Evolution and Ecology, University of California, Davis, CA, 95616, USA
| | - Pavel Kindlmann
- Global Change Research Institute AS CR, Bělidla 986/4a, 60300, Brno, Czech Republic
- Institute for Environmental Studies, Faculty of Science, Charles University, Benátská 2, 12801, Prague 2, Czech Republic
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da Silva CRB, Diamond SE. Local climate change velocities and evolutionary history explain multidirectional range shifts in a North American butterfly assemblage. J Anim Ecol 2024; 93:1160-1171. [PMID: 38922857 DOI: 10.1111/1365-2656.14132] [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: 04/03/2024] [Accepted: 05/15/2024] [Indexed: 06/28/2024]
Abstract
Species are often expected to shift their distributions either poleward or upslope to evade warming climates and colonise new suitable climatic niches. However, from 18-years of fixed transect monitoring data on 88 species of butterfly in the midwestern United States, we show that butterflies are shifting their centroids in all directions, except towards regions that are warming the fastest (southeast). Butterflies shifted their centroids at a mean rate of 4.87 km year-1. The rate of centroid shift was significantly associated with local climate change velocity (temperature by precipitation interaction), but not with mean climate change velocity throughout the species' ranges. Species tended to shift their centroids at a faster rate towards regions that are warming at slower velocities but increasing in precipitation velocity. Surprisingly, species' thermal niche breadth (range of climates butterflies experience throughout their distribution) and wingspan (often used as metric for dispersal capability) were not correlated with the rate at which species shifted their ranges. We observed high phylogenetic signal in the direction species shifted their centroids. However, we found no phylogenetic signal in the rate species shifted their centroids, suggesting less conserved processes determine the rate of range shift than the direction species shift their ranges. This research shows important signatures of multidirectional range shifts (latitudinal and longitudinal) and uniquely shows that local climate change velocities are more important in driving range shifts than the mean climate change velocity throughout a species' entire range.
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Affiliation(s)
- Carmen R B da Silva
- Department of Biology, Case Western Reserve University, Cleveland, Ohio, USA
- School of Natural Sciences, Macquarie University, North Ryde, New South Wales, Australia
- School of Biological Sciences, Monash University, Clayton, Victoria, Australia
| | - Sarah E Diamond
- Department of Biology, Case Western Reserve University, Cleveland, Ohio, USA
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Wang C, Zhang Y, Sheng Q, Zhu Z. Impacts of Climate Change on the Biogeography and Ecological Structure of Zelkova schneideriana Hand.-Mazz. in China. PLANTS (BASEL, SWITZERLAND) 2024; 13:798. [PMID: 38592822 PMCID: PMC10973992 DOI: 10.3390/plants13060798] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 03/03/2024] [Accepted: 03/06/2024] [Indexed: 04/11/2024]
Abstract
This study utilized the platform for ensemble forecasting of species distributions, biomod2, to predict and quantitatively analyze the distribution changes of Zelkova schneideriana Hand.-Mazz. under different climate scenarios (SSP1-2.6 and SSP5-8.5) based on climate and land-use data. This study evaluated the geographic range changes in future distribution areas and the results indicated that, under both SSP1-2.6 and SSP5-8.5 scenarios, the distribution area of Zelkova schneideriana would be reduced, showing a trend towards migration to higher latitudes and elevations. Particularly, in the more extreme SSP5-8.5 scenario, the contraction of the distribution area was more pronounced, accompanied by more significant migration characteristics. Furthermore, the ecological structure within the distribution area of Zelkova schneideriana also experienced significant changes, with an increasing degree of fragmentation. The variables of Bio6 (minimum temperature of the coldest month), Bio2 (mean diurnal temperature range), Bio15 (precipitation seasonality), and elevation exhibited important influences on the distribution of Zelkova schneideriana, with temperature being particularly significant. Changes in land use, especially the conversion of cropland, had a significant impact on the species' habitat. These research findings highlight the distributional pressures faced by Zelkova schneideriana in the future, emphasizing the crucial need for targeted conservation measures to protect this species and similar organisms.
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Affiliation(s)
- Chen Wang
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China;
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
- Research Center for Digital Innovation Design, Nanjing Forestry University, Nanjing 210037, China
- Jin Pu Research Institute, Nanjing Forestry University, Nanjing 210037, China
| | - Yuanlan Zhang
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
- College of Life Sciences, Nanjing Forestry University, Nanjing 210037, China
| | - Qianqian Sheng
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China;
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
- Research Center for Digital Innovation Design, Nanjing Forestry University, Nanjing 210037, China
- Jin Pu Research Institute, Nanjing Forestry University, Nanjing 210037, China
| | - Zunling Zhu
- College of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China;
- Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing 210037, China
- Research Center for Digital Innovation Design, Nanjing Forestry University, Nanjing 210037, China
- Jin Pu Research Institute, Nanjing Forestry University, Nanjing 210037, China
- College of Art and Design, Nanjing Forestry University, Nanjing 210037, China
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Ruan T, Wei W, Zhang Z, Zhou H. Research on the Changes in Distribution and Habitat Suitability of the Chinese Red Panda Population. Animals (Basel) 2024; 14:424. [PMID: 38338067 PMCID: PMC10854785 DOI: 10.3390/ani14030424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2023] [Revised: 01/18/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024] Open
Abstract
The study of the dynamics of species habitat is of great significance for maintaining or adjusting the current habitat protection management strategy. However, the current research on the Chinese red panda's habitat is limited to the analysis of a single period, which makes it difficult to quantify the changes in its habitat on a temporal scale and greatly hinders the formulation of the overall protection and management strategies that are to be used for the Chinese red panda. This study simulated habitat suitability at different temporal scales to quantify the trend of changes in habitat quality and analyzed the reasons for the changes in habitat suitability in certain regions. The results showed that the overall suitability of the Chinese red panda's habitat increased and that the area of suitable habitats expanded. Suitable Chinese red panda habitats in the mountains of Qionglai (1662.73 km2), Daxiangling (230.30 km2), Xiaoxiangling (549.47 km2), and Liangshan (50.39 km2) increased by a total of 2452.89 km2. The suitability of habitats in the central part of the Liangshan Mountains has declined significantly, which is positively correlated with changes in temperature seasonality (BIO4, R = 0.18) and negatively correlated with changes in annual average temperature (BIO1, R = -0.03) as well as changes in the proportion of farmland (FARMLAND, R = -0.14). The local extinction of isolated populations of Chinese red pandas in the Minshan Mountains is the main factor leading to their distribution retreat rather than a decrease in habitat quality. The research results help us to provide a scientific basis for the formulation of conservation and management strategies for Chinese red pandas at different scales.
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Affiliation(s)
- Tao Ruan
- College of Giant Panda, China West Normal University, Nanchong 637009, China; (T.R.); (W.W.); (Z.Z.)
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, Nanchong 637009, China
| | - Wei Wei
- College of Giant Panda, China West Normal University, Nanchong 637009, China; (T.R.); (W.W.); (Z.Z.)
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, Nanchong 637009, China
| | - Zejun Zhang
- College of Giant Panda, China West Normal University, Nanchong 637009, China; (T.R.); (W.W.); (Z.Z.)
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, Nanchong 637009, China
| | - Hong Zhou
- College of Giant Panda, China West Normal University, Nanchong 637009, China; (T.R.); (W.W.); (Z.Z.)
- Liziping Giant Panda’s Ecology and Conservation Observation and Research Station of Sichuan Province, Nanchong 637009, China
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