Rapid Characterisation of Vegetation Structure to Predict Refugia and Climate Change Impacts across a Global Biodiversity Hotspot

PLOS ONE, Dec 2019

Identification of refugia is an increasingly important adaptation strategy in conservation planning under rapid anthropogenic climate change. Granite outcrops (GOs) provide extraordinary diversity, including a wide range of taxa, vegetation types and habitats in the Southwest Australian Floristic Region (SWAFR). However, poor characterization of GOs limits the capacity of conservation planning for refugia under climate change. A novel means for the rapid identification of potential refugia is presented, based on the assessment of local-scale environment and vegetation structure in a wider region. This approach was tested on GOs across the SWAFR. Airborne discrete return Light Detection And Ranging (LiDAR) data and Red Green and Blue (RGB) imagery were acquired. Vertical vegetation profiles were used to derive 54 structural classes. Structural vegetation types were described in three areas for supervised classification of a further 13 GOs across the region. Habitat descriptions based on 494 vegetation plots on and around these GOs were used to quantify relationships between environmental variables, ground cover and canopy height. The vegetation surrounding GOs is strongly related to structural vegetation types (Kappa = 0.8) and to its spatial context. Water gaining sites around GOs are characterized by taller and denser vegetation in all areas. The strong relationship between rainfall, soil-depth, and vegetation structure (R2 of 0.8–0.9) allowed comparisons of vegetation structure between current and future climate. Significant shifts in vegetation structural types were predicted and mapped for future climates. Water gaining areas below granite outcrops were identified as important putative refugia. A reduction in rainfall may be offset by the occurrence of deeper soil elsewhere on the outcrop. However, climate change interactions with fire and water table declines may render our conclusions conservative. The LiDAR-based mapping approach presented enables the integration of site-based biotic assessment with structural vegetation types for the rapid delineation and prioritization of key refugia.

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Rapid Characterisation of Vegetation Structure to Predict Refugia and Climate Change Impacts across a Global Biodiversity Hotspot

et al. (2014) Rapid Characterisation of Vegetation Structure to Predict Refugia and Climate Change Impacts across a Global Biodiversity Hotspot. PLoS ONE 9(1): e82778. doi:10.1371/journal.pone.0082778 Rapid Characterisation of Vegetation Structure to Predict Refugia and Climate Change Impacts across a Global Biodiversity Hotspot Antonius G. T. Schut 0 Grant W. Wardell-Johnson 0 Colin J. Yates 0 Gunnar Keppel 0 Ireneusz Baran 0 Steven E. Franklin 0 Stephen D. Hopper 0 Kimberley P. Van Niel 0 Ladislav Mucina 0 Margaret Byrne 0 Carlo Ricotta, University of Rome 'La Sapienza', Italy 0 1 Department of Spatial Sciences, Curtin University , Bentley, Western Australia , Australia , 2 Curtin Institute for Biodiversity and Climate, Curtin University , Bentley, Western Australia , Australia , 3 Science Division, Department of Parks and Wildlife, Bentley, Western Australia, Australia, 4 School of Natural and Built Environments and Barbara Hardy Institute, University of South Australia , Adelaide, South Australia , Australia , 5 AAM Pty Limited, Perth, Western Australia , Australia , 6 Trent University , Peterborough, Ontario , Canada , 7 Centre of Excellence in Natural Resource Management, The University of Western Australia , Albany, Western Australia , Australia , 8 School of Earth and Environment, The University of Western Australia , Crawley, Western Australia , Australia , 9 School of Plant Biology, The University of Western Australia , Crawley, Western Australia , Australia Identification of refugia is an increasingly important adaptation strategy in conservation planning under rapid anthropogenic climate change. Granite outcrops (GOs) provide extraordinary diversity, including a wide range of taxa, vegetation types and habitats in the Southwest Australian Floristic Region (SWAFR). However, poor characterization of GOs limits the capacity of conservation planning for refugia under climate change. A novel means for the rapid identification of potential refugia is presented, based on the assessment of local-scale environment and vegetation structure in a wider region. This approach was tested on GOs across the SWAFR. Airborne discrete return Light Detection And Ranging (LiDAR) data and Red Green and Blue (RGB) imagery were acquired. Vertical vegetation profiles were used to derive 54 structural classes. Structural vegetation types were described in three areas for supervised classification of a further 13 GOs across the region. Habitat descriptions based on 494 vegetation plots on and around these GOs were used to quantify relationships between environmental variables, ground cover and canopy height. The vegetation surrounding GOs is strongly related to structural vegetation types (Kappa = 0.8) and to its spatial context. Water gaining sites around GOs are characterized by taller and denser vegetation in all areas. The strong relationship between rainfall, soil-depth, and vegetation structure (R2 of 0.8-0.9) allowed comparisons of vegetation structure between current and future climate. Significant shifts in vegetation structural types were predicted and mapped for future climates. Water gaining areas below granite outcrops were identified as important putative refugia. A reduction in rainfall may be offset by the occurrence of deeper soil elsewhere on the outcrop. However, climate change interactions with fire and water table declines may render our conclusions conservative. The LiDAR-based mapping approach presented enables the integration of site-based biotic assessment with structural vegetation types for the rapid delineation and prioritization of key refugia. - Funding: The paper was supported by ARC Linkage Grant LP0990914, a Targeted Fellowship at Curtin University to G.W. Wardell-Johnson, and in-kind support from AAM Pty. The funders had no role in study design and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors received in-kind support from AAM Pty Limited. This does not alter the authors adherence to all the PLOS ONE policies on sharing data and materials. Considerable changes in the distribution and ecology of species and ecosystems are likely to be ongoing over the coming decades in response to anthropogenic climate change [13]. Identifying refugia (habitats that facilitate species persistence during largescale and long-term climatic change [4]), is increasingly important in conservation planning as a critical climate change adaptation strategy. Persisting in refugia may provide an important means of in-situ survival for many species [57]. Identifying the location of refugia requires a spatially explicit understanding of the relationships between biodiversity and the environment (including climate) at appropriate scales and through time. The current reliance on species distribution models (SDMs) is most often applied at coarse spatial scales, but refugia may occur at relatively fine spatial scales [810]. For example, the globally significant Sou (...truncated)


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Antonius G. T. Schut, Grant W. Wardell-Johnson, Colin J. Yates, Gunnar Keppel, Ireneusz Baran, Steven E. Franklin, Stephen D. Hopper, Kimberley P. Van Niel, Ladislav Mucina, Margaret Byrne. Rapid Characterisation of Vegetation Structure to Predict Refugia and Climate Change Impacts across a Global Biodiversity Hotspot, PLOS ONE, 2014, 1, DOI: 10.1371/journal.pone.0082778