Microclimate and vegetation function as indicators of forest thermodynamic efficiency

Norris, C., et al., 2012. Journal of Applied Ecology

Original research (primary data)
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Abstract

Resilient and functional landscapes are essential for climate change adaptation. Thermodynamic theory has been applied increasingly to ecological studies to understand ecosystem resilience and integrity. Resilient ecosystems have complex structure and greater levels of biomass and functional diversity, which act to enhance the degradation of solar energy. Forests that exhibit these characteristics express thermodynamic efficiency through a greater capacitance effect that promotes cooler surface temperatures under extreme weather conditions. 2.With forest disturbance, complex structures and functional linkages are simplified, reducing the capacity of the system to degrade energy. Such changes can lead to dysfunctional ecosystem states, impaired provision of ecosystem services and a weakened resilience. 3.This study has applied indicators based on thermodynamic theory to a chronosequence of forest ecosystems in the UK, Germany and Ukraine. Surface temperatures were measured to test thermodynamic theories relating to energy degradation and temperature moderation. Grime’s CSR model was applied to plant data to compare functional complexity in vegetation between stands. 4.Old-growth woodlands are shown to attenuate surface temperature more effectively than native species plantations. Consistently lower temperatures were observed in European old-growth forests with high proportions of biomass when compared to managed stands of similar species composition, suggesting a greater efficiency of energy degradation in complex forest ecosystems, particularly at higher temperatures. 5.Analysis of plant species data using Grime’s CSR model indicated that old-growth forests ordinate towards competitive and stress-tolerant communities in contrast to intensively managed forests, which had a greater proportion of generalist and ruderal species. High CSR functional scores were associated with moderated temperature extremes. 6.Synthesis and applications. Our results suggest an important thermodynamic basis for conservation in the context of climate change. Conservation practice and management policy, which is based on preserving ecosystem complexity and function, can aid in mitigating the effects of extreme temperatures, enhancing vital services such as climate regulation, primary production and water retention. Old-growth forests have a significant climate mitigation role alongside other recognised ecosystem services such as carbon sequestration.

Case studies

Basic information

  • Case ID: INT-052-3
  • Intervention type: Management
  • Intervention description:

    Carpathian Biosphere Reserve: A greater degree of human intervention and sustainable forestry is allowed in a 3300-ha area of buffer zone.

  • Landscape/sea scape ecosystem management: Yes
  • Climate change impacts Effect of Nbs on CCI Effect measures
    Other climate impact  Unclear results daily fluctuation of surface temperature; mean surface temperature and variation in temperature
  • Approach implemented in the field: Yes
  • Specific location:

    The forest of the Uholka-Shyrokyi Luh massif (48°18¢N, 23°41¢E, Fig. S1c, Supporting information) forms part of the Carpathian Biosphere Reserve in western Ukraine

  • Country: Ukraine
  • Habitat/Biome type: Temperate forests |
  • Issue specific term: Not applicable

Evidence

  • Notes on intervention effectivness: effectiveness determined only by comparing to another NBS (old growth reserve) and therefore cannot determine effectiveness of the intervention per se and coded as 'unclear'
  • Is the assessment original?: Yes
  • Broadtype of intervention considered: Another NbS
  • Compare effectivness?: No
  • Compared to the non-NBS approach: Not applicable
  • Report greenhouse gas mitigation?: No
  • Impacts on GHG: Not applicable
  • Assess outcomes of the intervention on natural ecosystems: Yes
  • Impacts for the ecosystem: Unclear
  • Ecosystem measures: ecosystem complexity - use a proxy measure based on assessing proportions of competitive-stress tolerant-ruderal vegetation types (CRS model)
  • Assess outcomes of the intervention on people: No
  • Impacts for people: Not reported
  • People measures:
  • Considers economic costs: No
  • Economic appraisal conducted: No
  • Economic appraisal described:
  • Economic costs of alternative considered: No
  • Compared to an alternative: Not reported

Evaluation methodology

  • Type of data: Quantitative
  • Is it experimental: No
  • Experimental evalution done: Not applicable
  • Non-experimental evalution done: Empirical case study
  • Study is systematic:

Basic information

  • Case ID: INT-052-1
  • Intervention type: Management
  • Intervention description:

    a stand of mixed- species composition and age, comprising 82-year-old P. sylvestris and 49-year-old F. sylvatica

  • Landscape/sea scape ecosystem management: No
  • Climate change impacts Effect of Nbs on CCI Effect measures
    Other climate impact  Positive daily fluctuation of surface temperature; mean surface temperature and variation in temperature
  • Approach implemented in the field: Yes
  • Specific location:

    Eberswalde, Brandenburg, Germany (52°48¢N, 13°48¢E)

  • Country: Germany
  • Habitat/Biome type: Temperate forests |
  • Issue specific term: Not applicable

Evidence

  • Notes on intervention effectivness: effectiveness compared to non-adaptation oriented management (monoculture plantations + a managed and heavily thinned stand of F. sylvatica with trees aged up to 140 years)
  • Is the assessment original?: Yes
  • Broadtype of intervention considered: Not applicable
  • Compare effectivness?: No
  • Compared to the non-NBS approach: Not applicable
  • Report greenhouse gas mitigation?: No
  • Impacts on GHG: Not applicable
  • Assess outcomes of the intervention on natural ecosystems: Yes
  • Impacts for the ecosystem: Unclear
  • Ecosystem measures: ecosystem complexity - use a proxy measure based on assessing proportions of competitive-stress tolerant-ruderal vegetation types (CRS model)
  • Assess outcomes of the intervention on people: No
  • Impacts for people: Not reported
  • People measures:
  • Considers economic costs: No
  • Economic appraisal conducted: No
  • Economic appraisal described:
  • Economic costs of alternative considered: No
  • Compared to an alternative: Not reported

Evaluation methodology

  • Type of data: Quantitative
  • Is it experimental: Yes
  • Experimental evalution done: In-situ/field
  • Non-experimental evalution done: Not applicable
  • Study is systematic:

Basic information

  • Case ID: INT-052-2
  • Intervention type: Protection
  • Intervention description:

    Carpathian Biosphere Reserve: The core of the forest covers 11 860 ha, is original in its structure and has been subject to very little anthropogenic disturbance or management activity.

  • Landscape/sea scape ecosystem management: Yes
  • Climate change impacts Effect of Nbs on CCI Effect measures
    Other climate impact  Unclear results daily fluctuation of surface temperature; mean surface temperature and variation in temperature
  • Approach implemented in the field: Yes
  • Specific location:

    The forest of the Uholka-Shyrokyi Luh massif (48°18¢N, 23°41¢E, Fig. S1c, Supporting information) forms part of the Carpathian Biosphere Reserve in western Ukraine

  • Country: Ukraine
  • Habitat/Biome type: Temperate forests |
  • Issue specific term: Not applicable

Evidence

  • Notes on intervention effectivness: effectiveness compared to non-adaptation oriented management (buffer zone in the reserve with forestry activity)
  • Is the assessment original?: Yes
  • Broadtype of intervention considered: Not applicable
  • Compare effectivness?: No
  • Compared to the non-NBS approach: Not applicable
  • Report greenhouse gas mitigation?: No
  • Impacts on GHG: Not applicable
  • Assess outcomes of the intervention on natural ecosystems: Yes
  • Impacts for the ecosystem: Positive
  • Ecosystem measures: ecosystem complexity - use a proxy measure based on assessing proportions of competitive-stress tolerant-ruderal vegetation types (CRS model)
  • Assess outcomes of the intervention on people: No
  • Impacts for people: Not reported
  • People measures:
  • Considers economic costs: No
  • Economic appraisal conducted: No
  • Economic appraisal described:
  • Economic costs of alternative considered: No
  • Compared to an alternative: Not reported

Evaluation methodology

  • Type of data: Quantitative
  • Is it experimental: No
  • Experimental evalution done: Not applicable
  • Non-experimental evalution done: Empirical case study
  • Study is systematic: