Ecology and Changing Environments - Functional Groups & Environmental Change

Plant Functional Types in Biome Type Models

  • Equilibrium biogeography models predict biome distribution using plant functional types.
  • Models predict equilibrium distribution and biogeochemistry (transfer of materials).
  • Simulations compare observed vs. simulated biome distributions under environmental changes.

Biome3

  • Predicts net primary productivity or leaf area index (LAI) based on the environment.
  • LAI measures leaf area per unit area of earth's surface.
  • Uses seven plant functional types (e.g., tropical broadleaf evergreens, temperate boreal conifers).
  • Attributes: leaf persistence, root fraction in upper soil, photosynthetic pathway, stomatal conductance.

Biome4

  • Coupled biogeography and biogeochemistry model with more functional types.
  • Incorporates incoming radiation, atmospheric CO2CO_2, climate, and soil characteristics.

Testing Biome Models

  • Pollen records used to infer past vegetation.
  • Pollen cores from sedimentary deposits identify pollen types (grasses, conifers, broadleaves).
  • Comparing model predictions to pollen-inferred vegetation from 6,000 years ago (warmer period) to test model accuracy under different climatic conditions.

Freshwater Invertebrates

  • Used for bio-monitoring due to diversity and varying environmental responses.
  • Macroinvertebrate sampling indicates waterway health.
  • Study predicts climate change impacts on temperate European regions, expecting them to become more like Mediterranean regions.

Predictions Based on Traits

  • Predictions made about how traits (e.g., body size, dispersal) will be affected by climate change.
  • Small-bodied organisms expected to be more prominent in Mediterranean climates due to short life cycles.
  • Active aerial dispersal is expected in Mediterranean systems due to intermittent water flow.
  • Predictions evaluated by comparing macroinvertebrate traits in Mediterranean vs. temperate sites.

Meta-Analysis of Plant Traits and Grazing

  • Examines how plant traits relate to grazing across the globe.
  • Based on 197 studies, considers traits like life history, canopy height, and habit architecture.
  • Annual life histories often increase with grazing, perennials decrease.
  • Context dependence: dry regions with short grazing history show different patterns.

Urbanization and Plant Traits

  • Studies whether urban floras share common characteristics across cities.
  • Analyzes extinction data and plant traits from 11 cities.
  • Taller plants and heavier-seeded species more likely to persist in urban environments.

Scaling Traits to Ecosystem Function

  • Aims to scale from individual species traits to community-level changes to ecosystem function.
  • Environmental change affects species differently based on their traits, influencing community structure and ecosystem functioning.
  • Concordance between functional response and effect groups influences ecosystem change magnitude.

Bumblebees and Pollination

  • Agricultural intensification impacts bee communities and pollination.
  • Larger-bodied bees, which are more effective pollinators, face higher extinction risk.

CO2 Enhancement and Nitrogen Cycling

  • Examines whether enhanced CO2CO_2 leads to greater nitrogen cycling.
  • Leaf nitrogen influences biomass response to elevated CO2CO_2.
  • Soil nutrient cycling is better predicted by total plant biomass rather than leaf nitrogen content.

Population Dynamics Modeling

  • Transition matrix modeling uses demographic attributes (fecundity, growth, survivorship).
  • Predicts species responses to change, requiring dynamics.
  • Population dynamics can be modeled with transition matrix modeling.
  • Projects the rate of vital attribute replacement sequence and depends upon logical deductive functional groups.

Transition Matrix

  • Life history stages (seedlings, juveniles, adults) and transitions between them.
  • Transition matrix represents stasis (staying in the same stage), growth (moving to the next stage), and fecundity (reproduction).
  • Matrix multiplication used to project population changes over time, incorporating disturbances.