15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Process-Based Models of Phenology for Plants and Animals

      1 , 2
      Annual Review of Ecology, Evolution, and Systematics
      Annual Reviews

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references107

          • Record: found
          • Abstract: not found
          • Article: not found

          Climate change, phenology, and phenological control of vegetation feedbacks to the climate system

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Why does phenology drive species distribution?

            Despite the numerous studies which have been conducted during the past decade on species ranges and their relationship to the environment, our understanding of how environmental conditions shape species distribution is still far from complete. Yet, some process-based species distribution models have been able to simulate plants and insects distribution at a global scale. These models strongly rely on the completion of the annual cycle of the species and therefore on their accomplished phenology. In particular, they have shown that the northern limit of species' ranges appears to be caused mainly by the inability to undergo full fruit maturation, while the southern limit appears to be caused by the inability to flower or unfold leaves owing to a lack of chilling temperatures that are necessary to break bud dormancy. I discuss here why phenology is a key adaptive trait in shaping species distribution using mostly examples from plant species, which have been the most documented. After discussing how phenology is involved in fitness and why it is an adaptive trait susceptible to evolve quickly in changing climate conditions, I describe how phenology is related to fitness in species distribution process-based models and discuss the fate of species under climate change scenarios using model projections and experimental or field studies from the literature.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Insects in fluctuating thermal environments.

              All climate change scenarios predict an increase in both global temperature means and the magnitude of seasonal and diel temperature variation. The nonlinear relationship between temperature and biological processes means that fluctuating temperatures lead to physiological, life history, and ecological consequences for ectothermic insects that diverge from those predicted from constant temperatures. Fluctuating temperatures that remain within permissive temperature ranges generally improve performance. By contrast, those which extend to stressful temperatures may have either positive impacts, allowing repair of damage accrued during exposure to thermal extremes, or negative impacts from cumulative damage during successive exposures. We discuss the mechanisms underlying these differing effects. Fluctuating temperatures could be used to enhance or weaken insects in applied rearing programs, and any prediction of insect performance in the field-including models of climate change or population performance-must account for the effect of fluctuating temperatures.
                Bookmark

                Author and article information

                Journal
                Annual Review of Ecology, Evolution, and Systematics
                Annu. Rev. Ecol. Evol. Syst.
                Annual Reviews
                1543-592X
                1545-2069
                November 02 2017
                November 02 2017
                : 48
                : 1
                : 159-182
                Affiliations
                [1 ]Centre d'Ecologie Fonctionnelle et Evolutive, UMR 5175 Centre National de la Recherche Scientifique—Université de Montpellier—Université Paul-Valéry Montpellier—EPHE, 34293, Montpellier, France;
                [2 ]Natural Resources Canada, Canadian Forest Service, Québec, Québec, G1V 4C7 Canada;
                Article
                10.1146/annurev-ecolsys-110316-022706
                f55dffe8-21f2-4f82-8d75-9e423351f88c
                © 2017
                History

                Comments

                Comment on this article