Prediction of changing predator–prey interactions under warming: A simulation study using two aphid–ladybird systems. Issue 5 (3rd June 2021)
- Record Type:
- Journal Article
- Title:
- Prediction of changing predator–prey interactions under warming: A simulation study using two aphid–ladybird systems. Issue 5 (3rd June 2021)
- Main Title:
- Prediction of changing predator–prey interactions under warming: A simulation study using two aphid–ladybird systems
- Authors:
- Lee, Minyoung
Kim, Yongeun
Park, Jung‐Joon
Cho, Kijong - Abstract:
- Abstract: Predator–prey interactions are key factors for understanding ecosystem structure and function. Global warming alters the dynamics and stability of predator and prey populations in the long term. Extreme temperatures can also lead to short‐term population outbreaks and collapses. Thus, it is necessary to consider time scales when predicting warming effects on predator–prey interactions. Two aphid–ladybird systems, Myzus persicae – Coccinella septempunctata (M‐C) and Aphis gossypii – C. septempunctata (A‐C), were investigated. Using a temperature‐dependent predator–prey model, the short‐ (SIS, daily interactions) and long‐term interaction strength (LIS, interactions after reaching a persistent state) were quantified under different temperatures based on a dynamic index. SIS and LIS increased with temperature, but the patterns and magnitudes of the two systems differed. SIS increased linearly and exponentially in the A‐C and M‐C system, respectively. However, the SISs in the A‐C system were stronger than those in the M‐C system under most temperature ranges. LIS increased linearly with temperature in both systems; its values in the M‐C system were always larger than those in the A‐C system. The abruptly increasing SIS in the M‐C system caused population collapse, which was the main reason for the magnitude reversal between the SISs and LISs of the two systems. The A‐C system did not collapse, but a decoupled SIS and subsequent aphid outbreak were temporarily observedAbstract: Predator–prey interactions are key factors for understanding ecosystem structure and function. Global warming alters the dynamics and stability of predator and prey populations in the long term. Extreme temperatures can also lead to short‐term population outbreaks and collapses. Thus, it is necessary to consider time scales when predicting warming effects on predator–prey interactions. Two aphid–ladybird systems, Myzus persicae – Coccinella septempunctata (M‐C) and Aphis gossypii – C. septempunctata (A‐C), were investigated. Using a temperature‐dependent predator–prey model, the short‐ (SIS, daily interactions) and long‐term interaction strength (LIS, interactions after reaching a persistent state) were quantified under different temperatures based on a dynamic index. SIS and LIS increased with temperature, but the patterns and magnitudes of the two systems differed. SIS increased linearly and exponentially in the A‐C and M‐C system, respectively. However, the SISs in the A‐C system were stronger than those in the M‐C system under most temperature ranges. LIS increased linearly with temperature in both systems; its values in the M‐C system were always larger than those in the A‐C system. The abruptly increasing SIS in the M‐C system caused population collapse, which was the main reason for the magnitude reversal between the SISs and LISs of the two systems. The A‐C system did not collapse, but a decoupled SIS and subsequent aphid outbreak were temporarily observed under extreme temperatures. Understanding how time scales influence interaction strengths may be critical to predicting population stability and fluctuations in ecosystems. Abstract : The effects of warming on the short‐ and long‐term interaction strength (SIS and LIS) between predator and prey were investigated using two aphid–ladybird systems. Our result showed that SIS and LIS tended to increase with temperature, but the magnitudes of the strength between the two systems could be reversed depending on the time scale. Understanding how time scales influence interaction strengths may be critical to predicting population stability and fluctuations in ecosystems under climate change. … (more)
- Is Part Of:
- Ecological research. Volume 36:Issue 5(2021)
- Journal:
- Ecological research
- Issue:
- Volume 36:Issue 5(2021)
- Issue Display:
- Volume 36, Issue 5 (2021)
- Year:
- 2021
- Volume:
- 36
- Issue:
- 5
- Issue Sort Value:
- 2021-0036-0005-0000
- Page Start:
- 788
- Page End:
- 802
- Publication Date:
- 2021-06-03
- Subjects:
- biological control -- climate change -- long‐term interaction -- Rosenzweig and MacArthur model -- short‐term interaction
Ecology -- Periodicals
Ecology -- Japan -- Periodicals
Écologie
Japon
Ecology
Japan
Ressource Internet (Descripteur de forme)
Périodique électronique (Descripteur de forme)
Periodicals
577.05 - Journal URLs:
- https://esj-journals.onlinelibrary.wiley.com/journal/14401703 ↗
http://www.springer.com/gb/ ↗ - DOI:
- 10.1111/1440-1703.12243 ↗
- Languages:
- English
- ISSNs:
- 0912-3814
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3649.100000
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