Raw data from: "Thermal mismatches explain consumer-resource dynamics in response to environmental warming".

Data from:

Álvarez-Codesal, S, Faillace CA, Garreau, A, Bestion, E, Synodinos, AD, & Montoya, JM. 2023. Thermal mismatches explain consumer-resource dynamics in response to environmental warming. Ecology and Evolution.
 

Composed of seven associated datasets:

- Algae_Net_Photosynthesis.csv

- Daphnia_Ingestion.csv

- Algae_Respiration.csv

- Daphnia_Ingestion.csv

- Daphnia_respiration.csv

- Interaction_Strength.csv

- Energy_Balance_Ratios_dataset.csv

A detailed explanation of the methods is provided in the related Alvarez-Codesal et al. 2023 article, please refer to it for a full understanding of the methods and results.

Briefly: our aim was to quantify the impact of warming on consumer-resource interactions, using as consumer Daphnia pulex, and as resources two algae species, Chlamydomonas reinhardtii and Desmodesmus sp.

First, we measured thermal dependencies of physiological rates related to energy gain (i.e., ingestion, net photosynthesis) and loss (i.e., respiration) for Daphnia and the algae in basal conditions at eight temperatures. From these, we calculated species energetic balances as net photosynthesis-to-respiration ratio (P/R_r) for resources, or as ingestion-to-respiration ratio (I/R_c) for consumers, using predicted values of each (per capita) rate from the models. We used energetic balances as an indicator of how species respond to increasing temperatures, defining intraspecific energetic mismatches when the energetic balance decreases.

Second, we inferred interspecific thermal mismatches (inter-TM) by comparing individual energetic balances for both consumer-resource pairs, and identified the thermal mismatch regions, where: 1) trends of energetic balances contrast between the interacting species; and 2) both species reduce their energetic balance with increasing temperature. The inter-TMs were used to increase our qualitative understanding on the outcomes of thermal dependencies of interaction strength.

Third, we calculated the natural logarithm of the consumer-resource energetic balance for each interacting pair as the ratio between consumer energetic balance and the resource energetic balance to get qualitative predictions on the trends of interaction strength with temperature.

Finally, we measured experimentally thermal dependencies of interaction strength for each consumer-resource pair and verified if our predictions using the thermal mismatches fitted the trends of interaction strengths across temperatures.