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Landscape consequences of aggregation rules for functional equivalence in compensatory mitigation programs.

Francesco Accatino1, Irena F Creed1,2, Marian Weber3

  • 1Department of Biology, Western University, 1151 Richmond Street N., London, ON N6A 5B7, Canada.

Conservation Biology : the Journal of the Society for Conservation Biology
|January 30, 2018
PubMed
Summary
This summary is machine-generated.

Mitigation rules for ecosystem functions significantly alter wetland restoration outcomes. Prioritizing biodiversity can create monofunctional sites, while minimum rules promote multifunctional landscapes for no-net-loss goals.

Keywords:
areacompensacióncompensationecosystem servicesequivalenceequivalenciafunciónfunctionhumedalrestauraciónrestorationservicios ambientaleswetlandárea功能地区恢复湿地生态系统服务等效性补偿

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Area of Science:

  • Ecological restoration
  • Environmental policy
  • Landscape ecology

Background:

  • Mitigation and offset programs aim to compensate for ecosystem function losses from development.
  • Aggregation rules for ecosystem functions influence site equivalence and function distribution.
  • Understanding these rules is crucial for effective wetland offsets.

Purpose of the Study:

  • To investigate the impact of aggregation rules on ecosystem function distribution in wetland offsets.
  • To analyze the consequences of different rules on hydrology, water purification, and biodiversity.
  • To evaluate how these rules affect the achievement of no-net-loss objectives.

Main Methods:

  • Developed an affect-and-offset algorithm to simulate wetland offsets.
  • Examined three key ecosystem functions: hydrology, water purification, and biodiversity.
  • Assessed the effects of weighted-average, minimum, and maximum aggregation rules.

Main Results:

  • Aggregation rules redistributed functions, creating trade-offs and cobenefits.
  • Hydrology and water purification were positively correlated; biodiversity was negatively correlated.
  • Minimum rules promoted multifunctional wetlands, while maximum and weighted-average rules varied in outcomes.

Conclusions:

  • No-net-loss objectives for multiple functions require a landscape context due to inherent trade-offs.
  • Aggregation rule design should consider substitutability, trade-offs, landscape constraints, and heterogeneity.
  • The precautionary principle is recommended for designing effective offset aggregation rules.