High-resolution data are necessary to understand the effects of climate on plant population dynamics of a forest herb.
Lathyrus vernus
climate change
climate scale
demography
integral projection model
microclimate
plant population dynamics
population growth rate
species distributions
spring frost
Journal
Ecology
ISSN: 1939-9170
Titre abrégé: Ecology
Pays: United States
ID NLM: 0043541
Informations de publication
Date de publication:
25 Oct 2023
25 Oct 2023
Historique:
revised:
04
08
2023
received:
30
03
2023
accepted:
19
09
2023
pubmed:
25
10
2023
medline:
25
10
2023
entrez:
25
10
2023
Statut:
aheadofprint
Résumé
Climate is assumed to strongly influence species distribution and abundance. Although the performance of many organisms is influenced by the climate in their immediate proximity, the climate data used to model their distributions often have a coarse spatial resolution. This is problematic because the local climate experienced by individuals might deviate substantially from the regional average. This problem is likely to be particularly important for sessile organisms like plants and in environments where small-scale variation in climate is large. To quantify the effect of local temperature on vital rates and population growth rates, we used temperature values measured at the local scale (in situ logger measures) and integral projection models with demographic data from 37 populations of the forest herb Lathyrus vernus across a wide latitudinal gradient in Sweden. To assess how the spatial resolution of temperature data influences assessments of climate effects, we compared effects from models using local data with models using regionally aggregated temperature data at several spatial resolutions (≥1 km). Using local temperature data, we found that spring frost reduced the asymptotic population growth rate in the first of two annual transitions and influenced survival in both transitions. Only one of the four regional estimates showed a similar negative effect of spring frost on population growth rate. Our results for a perennial forest herb show that analyses using regionally aggregated data often fail to identify the effects of climate on population dynamics. This emphasizes the importance of using organism-relevant estimates of climate when examining effects on individual performance and population dynamics, as well as when modeling species distributions. For sessile organisms that experience the environment over small spatial scales, this will require climate data at high spatial resolutions.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e4191Subventions
Organisme : Bolin Centre for Climate Research
Organisme : the Swedish Research Council for Environment, Agricultural Sciences, and Spatial Planning (FORMAS)
Informations de copyright
© 2023 The Authors. Ecology published by Wiley Periodicals LLC on behalf of The Ecological Society of America.
Références
Ackerly, D. D., M. M. Kling, M. L. Clark, P. Papper, M. F. Oldfather, A. L. Flint, and L. E. Flint. 2020. “Topoclimates, Refugia, and Biotic Responses to Climate Change.” Frontiers in Ecology and the Environment 18: 288-297.
Augspurger, C. K. 2011. “Frost Damage and its Cascading Negative Effects on Aesculus Glabra.” Plant Ecology 212: 1193-1203.
Bates, D., M. Mächler, B. M. Bolker, and S. C. Walker. 2015. “Fitting Linear Mixed-Effects Models Using Lme4.” Journal of Statistical Software 67(1): 1-48.
Beckschäfer, P. 2015. “Hemispherical_2.0 Batch Processing Hemispherical and Canopy Photographs with ImageJ-User Manual.” No. 13: 3-8. https://doi.org/10.13140/RG.2.1.3059.4088.
Bennie, J., R. J. Wilson, I. M. D. Maclean, and A. J. Suggitt. 2014. “Seeing the Woods for the Trees-When Is Microclimate Important in Species Distribution Models?” Global Change Biology 20: 2699-2700.
Blondeel, H., M. P. Perring, L. Depauw, E. De Lombaerde, D. Landuyt, P. De Frenne, and K. Verheyen. 2020. “Light and Warming Drive Forest Understorey Community Development in Different Environments.” Global Change Biology 26: 1681-1696.
Blonder, B., R. E. Kapas, R. M. Dalton, B. J. Graae, J. M. Heiling, and Ø. H. Opedal. 2018. “Microenvironment and Functional-Trait Context Dependence Predict Alpine Plant Community Dynamics.” Journal of Ecology 106: 1323-1337.
Caswell, H. 2001. Matrix Population Models-Construction, Analysis, and Interpretation, 2nd ed. Sunderland: Sinauer Associates, Inc. Publishers.
Christiansen, D. M., G. Römer, J. P. Dahlgren, M. Borg, O. Jones, S. Merinero, K. Hylander, and J. Ehrlén. 2023. “Data for: High-Resolution Data Are Necessary to Understand the Effects of Climate on Plant Population Dynamics of a Forest Herb.” Figshare. https://doi.org/10.6084/m9.figshare.23853807.
Compagnoni, A., S. Levin, D. Z. Childs, S. Harpole, M. Paniw, G. Römer, J. H. Burns, et al. 2021. “Herbaceous Perennial Plants with Short Generation Time Have Stronger Responses to Climate Anomalies than those with Longer Generation Time.” Nature Communications 12: 1-8.
Cornes, R. C., G. van der Schrier, E. J. M. van den Besselaar, and P. D. Jones. 2018. “An Ensemble Version of the E-OBS Temperature and Precipitation Data Sets.” Journal of Geophysical Research: Atmospheres 123: 9391-9409.
Czachura, K., and T. E. X. Miller. 2020. “Demographic Back-Casting Reveals that Subtle Dimensions of Climate Change Have Strong Effects on Population Viability.” Journal of Ecology 108: 2557-2570.
Dahlgren, J. P., H. Östergård, and J. Ehrlén. 2014. “Local Environment and Density-Dependent Feedbacks Determine Population Growth in a Forest Herb.” Oecologia 176: 1023-1032.
Dalgleish, H. J., D. N. Koons, and P. B. Adler. 2010. “Can Life-History Traits Predict the Response of Forb Populations to Changes in Climate Variability?” Journal of Ecology 98: 209-217.
Dalgleish, H. J., D. N. Koons, M. B. Hooten, C. A. Moffet, B. Adler, B. Hooten, and A. Moffet. 2015. “Climate Influences the Demography of Three Dominant Sagebrush Steppe Plants.” Ecology 92: 75-85.
De Frenne, P., B. J. Graae, A. Kolb, J. Brunet, O. Chabrerie, S. A. O. Cousins, G. Decocq, et al. 2010. “Significant Effects of Temperature on the Reproductive Output of the Forest Herb Anemone nemorosa L.” Forest Ecology and Management 259: 809-817.
De Frenne, P., J. Lenoir, M. Luoto, B. R. Scheffers, F. Zellweger, J. Aalto, M. B. Ashcroft, et al. 2021. “Forest Microclimates and Climate Change: Importance, Drivers and Future Research Agenda.” Global Change Biology 2: 1-19.
De Pauw, K., P. Sanczuk, C. Meeussen, L. Depauw, E. De Lombaerde, S. Govaert, T. Vanneste, et al. 2021. “Forest Understorey Communities Respond Strongly to Light in Interaction with Forest Structure, but Not to Microclimate Warming.” New Phytologist 233: 219-235.
Doak, D. F., and W. F. Morris. 2010. “Demographic Compensation and Tipping Points in Climate-Induced Range Shifts.” Nature 467: 959-962.
Easterling, M. R., S. P. Ellner, and P. M. Dixon. 2000. “Size-Specific Sensitivity: Applying a New Structured Population Model.” Ecology 81: 694-708.
Ehrlén, J. 1995a. “Demography of the Perennial Herb Lathyrus Vernus. I. Herbivory and Individual Performance.” Journal of Ecology 83: 297-308.
Ehrlén, J. 1995b. “Demography of the Perennial Herb Lathyrus Vernus. II. Herbivory and Population Dynamics.” Journal of Ecology 83: 297.
Ehrlén, J. 2002. “Assessing the Lifetime Consequences of Plant-Animal Interactions for the Perennial Herb.” Perspectives in Plant Ecology, Evolution and Systematics 5: 145-163.
Ehrlén, J., and W. F. Morris. 2015. “Predicting Changes in the Distribution and Abundance of Species under Environmental Change.” Ecology Letters 18: 303-314.
Ehrlén, J., and A. Valdés. 2020. “Climate Drives Among-Year Variation in Natural Selection on Flowering Time.” Ecology Letters 23: 653-662.
Fogelström, E., and J. Ehrlén. 2019. “Phenotypic but Not Genotypic Selection for earlier Flowering in a Perennial Herb.” Journal of Ecology 107: 2650-2659.
Forrest, J. R. K., and J. D. Thomson. 2011. “An Examination of Synchrony between Insect Emergence and Flowering in Rocky Mountain Meadows.” Ecological Monographs 81: 469-491.
Fox, J., and S. Weisberg. 2019. An R Companion to Applied Regression, Third ed. Thousand Oaks: Sage.
Franco, M., and J. Silvertown. 2004. “A Comparative Demography of Plants Based upon Elasticities of Vital Rates.” Ecology 85: 531-538.
Franklin, J., F. W. Davis, M. Ikegami, A. D. Syphard, L. E. Flint, A. L. Flint, and L. Hannah. 2013. “Modeling Plant Species Distributions under Future Climates: How Fine Scale Do Climate Projections Need to Be?” Global Change Biology 19: 473-483.
Greiser, C., K. Hylander, E. Meineri, M. Luoto, and J. Ehrlén. 2020. “Climate Limitation at the Cold Edge: Contrasting Perspectives from Species Distribution Modelling and a Transplant Experiment.” Ecography 43: 637-647.
Greiser, C., E. Meineri, M. Luoto, J. Ehrlén, and K. Hylander. 2018. “Monthly Microclimate Models in a Managed Boreal Forest Landscape.” Agricultural and Forest Meteorology 250-251: 147-158.
Hartig, F. 2021. “DHARMa: Residual Diagnostics for Hierarchical (Multi-Level/Mixed) Regression Models.” R Package Version 0.4.1. CRAN. https://cran.r-project.org/package=DHARMa.
Hultén, E., and M. Fries. 1986. Atlas of North European Vascular Plants North of the Tropic of Cancer. Königstein: Koeltz Scientific Books.
Iler, A. M., P. J. CaraDonna, J. R. K. Forrest, and E. Post. 2021. “Demographic Consequences of Phenological Shifts in Response to Climate Change.” Annual Review of Ecology, Evolution, and Systematics 52: 221-245.
Iler, A. M., A. Compagnoni, D. W. Inouye, J. L. Williams, P. J. CaraDonna, A. Anderson, and T. E. X. Miller. 2019. “Reproductive Losses Due to Climate Change-Induced earlier Flowering Are Not the Primary Threat to Plant Population Viability in a Perennial Herb.” Journal of Ecology 107: 1931-1943.
Inouye, D. W. 2008. “Effects of Climate Change on Phenology, Frost Damage, and Floral Abundance of Montane Wildflowers.” Ecology 89: 353-362.
Karger, D. N., O. Conrad, J. Böhner, T. Kawohl, H. Kreft, R. W. Soria-Auza, N. E. Zimmermann, H. P. Linder, and M. Kessler. 2017. “Climatologies at High Resolution for the Earth's Land Surface Areas.” Scientific Data 4: 170122.
Kusch, E., and R. Davy. 2022. “KrigR-a Tool for Downloading and Statistically Downscaling Climate Reanalysis Data.” Environmental Research Letters 17(2): 024005.
Lembrechts, J., I. Nijs, and J. Lenoir. 2018. “Incorporating Microclimate into Species Distribution Models.” Ecography 42: 1267-1279.
Lembrechts, J. J., J. Lenoir, N. Roth, T. Hattab, A. Milbau, S. Haider, L. Pellissier, et al. 2019. “Comparing Temperature Data Sources for Use in Species Distribution Models: From In-Situ Logging to Remote Sensing.” Global Ecology and Biogeography 28: 1578-1596.
Lindell, T., J. Ehrlén, and J. P. Dahlgren. 2021. “Weather Driven Demography and Population Dynamics of an Endemic Perennial Plant during a 34-Year Period.” Journal of Ecology 110: 1-11.
Man, M., J. Wild, M. Macek, and M. Kopecký. 2022. “Can High-Resolution Topography and Forest Canopy Structure Substitute Microclimate Measurements? Bryophytes Say No.” Science of the Total Environment 821: 153377.
Merow, C., J. P. Dahlgren, C. J. E. Metcalf, D. Z. Childs, M. E. K. Evans, E. Jongejans, S. Record, M. Rees, R. Salguero-Gómez, and S. M. McMahon. 2014. “Advancing Population Ecology with Integral Projection Models: A Practical Guide.” Methods in Ecology and Evolution 5: 99-110.
Morris, W. F., C. A. Pfister, S. Tuljapurkar, C. V. Haridas, C. L. Boggs, M. S. Boyce, E. M. Bruna, et al. 2008. “Longevity Can Buffer Plant and Animal Populations against Changing Climatic Variability.” Ecology 89: 19-25.
Mossberg, B., and L. Stenberg. 2010. Den Nya Nordiska Floran. Stockholm: Bonnier Fakta.
Muñoz Sabater, J. 2019. ERA5-Land Hourly Data from 1981 to Present. Copernicus Climate Change Service (C3S) Climate Data Store (CDS). https://doi.org/10.24381/cds.e2161bac.
Nicolè, F., J. P. Dahlgren, A. Vivat, I. Till-Bottraud, and J. Ehrlén. 2011. “Interdependent Effects of Habitat Quality and Climate on Population Growth of an Endangered Plant.” Journal of Ecology 99: 1211-1218.
Oldfather, M. F., and D. D. Ackerly. 2018. “Microclimate and Demography Interact to Shape Stable Population Dynamics across the Range of an Alpine Plant.” New Phytologist 222: 193-205.
Peterson, M. L., G. Bailes, L. B. Hendricks, L. Pfeifer-Meister, P. B. Reed, S. D. Bridgham, B. R. Johnson, et al. 2021. “Latitudinal Gradients in Population Growth Do Not Reflect Demographic Responses to Climate.” Ecological Applications 31: 1-13.
R Core Team. 2021. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing. https://www.r-project.org/.
Randin, C. F., R. Engler, S. Normand, M. Zappa, N. E. Zimmermann, P. B. Pearman, P. Vittoz, et al. 2009. “Climate Change and Plant Distribution: Local Models Predict High-Elevation Persistence.” Global Change Biology 15: 1557-1569.
Römer, G., D. M. Christiansen, H. de Buhr, K. Hylander, O. R. Jones, S. Merinero, K. Reitzel, J. Ehrlén, and J. P. Dahlgren. 2021. “Drivers of Large-Scale Spatial Demographic Variation in a Perennial Plant.” Ecosphere 12: 1-11.
Seneviratne, S. I., X. Zhang, M. Adnan, W. Badi, C. Dereczynski, A. Di Luca, and S. Ghosh. 2021. “Weather and Climate Extreme Events in a Changing Climate.” In Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by V. Masson-Delmotte, P. Zhai, A. Pirani, S. L. Connors, C. Péan, S. Berger, and N. Caud. Cambridge: Cambridge University Press.
Stark, J. R., and J. D. Fridley. 2022. “Microclimate-Based Species Distribution Models in Complex Forested Terrain Indicate Widespread Cryptic Refugia under Climate Change.” Global Ecology and Biogeography 2021: 1-14.
Stewart, S. B., J. Elith, M. Fedrigo, S. Kasel, S. H. Roxburgh, L. T. Bennett, M. Chick, et al. 2021. “Climate Extreme Variables Generated Using Monthly Time-Series Data Improve Predicted Distributions of Plant Species.” Ecography 44: 626-639.
Stubben, C., and B. Milligan. 2007. “Estimating and Analyzing Demographic Models Using the Popbio Package in R.” Journal of Statistical Software 22: 1-23.
Thuiller, W., S. Lavorel, M. B. Araújo, M. T. Sykes, and I. Colin Prentice. 2005. “Climate Change Threats to Plant Diversity in Europe.” Proceedings of the National Academy of Sciences of the United States of America 102: 8245-8250.
Tye, M., J. P. Dahlgren, D. I. Øien, A. Moen, and N. Sletvold. 2018. “Demographic Responses to Climate Variation Depend on Spatial- and Life History-Differentiation at Multiple Scales.” Biological Conservation 228: 62-69.
Williams, J. L., T. E. X. Miller, and S. P. Ellner. 2012. “Avoiding Unintentional Eviction from Integral Projection Models.” Ecology 93: 2008-2014.
Zellweger, F., D. Coomes, J. Lenoir, L. Depauw, S. L. Maes, M. Wulf, K. J. Kirby, et al. 2019. “Seasonal Drivers of Understorey Temperature Buffering in Temperate Deciduous Forests across Europe.” Global Ecology and Biogeography 28: 1774-1786.
Zellweger, F., P. De Frenne, J. Lenoir, P. Vangansbeke, K. Verheyen, M. Bernhardt-Römermann, L. Baeten, et al. 2020. “Forest Microclimate Dynamics Drive Plant Responses to Warming.” Science 368: 772-775.