Login / Signup

Managing the effects of multiple stressors on wildlife populations in their ecosystems: developing a cumulative risk approach.

Peter Lloyd TyackLen ThomasDaniel P CostaAilsa J HallCatriona M HarrisJohn HarwoodScott D KrausPatrick J O MillerMichael MooreTheoni PhotopoulouEnrico PirottaRosalind M RollandLori H SchwackeSamantha E SimmonsBrandon L Southall
Published in: Proceedings. Biological sciences (2022)
Assessing cumulative effects of human activities on ecosystems is required by many jurisdictions, but current science cannot meet regulatory demands. Regulations define them as effect(s) of one human action combined with other actions. Here we argue for an approach that evaluates the cumulative risk of multiple stressors for protected wildlife populations within their ecosystems. Monitoring effects of each stressor is necessary but not sufficient to estimate how multiple stressors interact to affect wildlife populations. Examining the mechanistic pathways, from cellular to ecological, by which stressors affect individuals can help prioritize stressors and interpret how they interact. Our approach uses health indicators to accumulate the effects of stressors on individuals and to estimate changes in vital rates, driving population status. We advocate using methods well-established in human health and integrating them into ecosystem-based management to protect the health of commercially and culturally important wildlife populations and to protect against risk of extinction for threatened species. Our approach will improve abilities to conserve and manage ecosystems but will also demand significant increases in research and monitoring effort. We advocate for increased investment proportional to the economic scale of human activities in the Anthropocene and their pervasive effects on ecology and biodiversity.
Keyphrases
  • climate change
  • human health
  • endothelial cells
  • risk assessment
  • public health
  • healthcare
  • induced pluripotent stem cells
  • pluripotent stem cells
  • mental health
  • genetic diversity
  • transcription factor
  • social media