10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Combining Biodiversity Resurveys across Regions to Advance Global Change Research

      , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , ,
      BioScience
      Oxford University Press (OUP)

      Read this article at

      ScienceOpenPublisherPMC
      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.

          Abstract

          <p class="first" id="P1">More and more ecologists have started to resurvey communities sampled in earlier decades to determine long-term shifts in community composition and infer the likely drivers of the ecological changes observed. However, to assess the relative importance of, and interactions among, multiple drivers joint analyses of resurvey data from many regions spanning large environmental gradients are needed. In this paper we illustrate how combining resurvey data from multiple regions can increase the likelihood of driver-orthogonality within the design and show that repeatedly surveying across multiple regions provides higher representativeness and comprehensiveness, allowing us to answer more completely a broader range of questions. We provide general guidelines to aid implementation of multi-region resurvey databases. In so doing, we aim to encourage resurvey database development across other community types and biomes to advance global environmental change research. </p>

          Related collections

          Most cited references68

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

          Continent-wide response of mountain vegetation to climate change

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

            Changes in plant community composition lag behind climate warming in lowland forests.

            Climate change is driving latitudinal and altitudinal shifts in species distribution worldwide, leading to novel species assemblages. Lags between these biotic responses and contemporary climate changes have been reported for plants and animals. Theoretically, the magnitude of these lags should be greatest in lowland areas, where the velocity of climate change is expected to be much greater than that in highland areas. We compared temperature trends to temperatures reconstructed from plant assemblages (observed in 76,634 surveys) over a 44-year period in France (1965-2008). Here we report that forest plant communities had responded to 0.54 °C of the effective increase of 1.07 °C in highland areas (500-2,600 m above sea level), while they had responded to only 0.02 °C of the 1.11 °C warming trend in lowland areas. There was a larger temperature lag (by 3.1 times) between the climate and plant community composition in lowland forests than in highland forests. The explanation of such disparity lies in the following properties of lowland, as compared to highland, forests: the higher proportion of species with greater ability for local persistence as the climate warms, the reduced opportunity for short-distance escapes, and the greater habitat fragmentation. Although mountains are currently considered to be among the ecosystems most threatened by climate change (owing to mountaintop extinction), the current inertia of plant communities in lowland forests should also be noted, as it could lead to lowland biotic attrition. ©2011 Macmillan Publishers Limited. All rights reserved
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              The use of chronosequences in studies of ecological succession and soil development

                Bookmark

                Author and article information

                Journal
                BioScience
                BioScience
                Oxford University Press (OUP)
                0006-3568
                1525-3244
                December 29 2016
                January 01 2017
                December 21 2016
                : 67
                : 1
                : 73-83
                Article
                10.1093/biosci/biw150
                6136644
                30220729
                4377254d-790d-4adc-ae7e-374b437af781
                © 2016
                History

                Comments

                Comment on this article