A spatial and temporal risk assessment of the impacts of El Niño on the tropical forest carbon cycle: theoretical framework, scenarios, and implications

Research output: Contribution to journalSpecial issue

Authors

  • Amy Bennett
  • Martin Sullivan
  • Jessica Baker
  • Yoni Gavish
  • Michelle O. Johnson
  • Yunxia Wang
  • Alexander Chambers-Ostler
  • Marta Lisli Giannichi
  • Luciene Gomes
  • Michelle Kalamandeen
  • Kanhu Charan Pattnayak
  • Sophie Fauset

Colleges, School and Institutes

External organisations

  • University of Leeds

Abstract

Strong El Niño events alter tropical climates and may lead to a negative carbon balance in tropical forests and consequently a disruption to the global carbon cycle. The complexity of tropical forests and the lack of data from these regions hamper the assessment of the spatial distribution of El Niño impacts on these ecosystems. Typically, maps of climate anomaly are used to detect areas of greater risk, ignoring baseline climate conditions and forest cover. Here, we integrated climate anomalies from the 1982–1983, 1997–1998, and 2015–2016 El Niño events with baseline climate and forest edge extent, using a risk assessment approach to hypothetically assess the spatial and temporal distributions of El Niño risk over tropical forests under several risk scenarios. The drivers of risk varied temporally and spatially. Overall, the relative risk of El Niño has been increasing driven mainly by intensified forest fragmentation that has led to a greater chance of fire ignition and increased mean annual air temperatures. We identified areas of repeated high risk, where conservation efforts and fire control measures should be focused to avoid future forest degradation and negative impacts on the carbon cycle.

Details

Original languageEnglish
Article number588
Pages (from-to)1-15
Number of pages15
JournalATMOSPHERE
Volume10
Issue number10
Publication statusPublished - 27 Sep 2019

Keywords

  • carbon cycle, physiological thresholds, fire, forest fragmentation, climate change, climate anomalies, drought, tropical forests, biogeography, El Niño