Data for Photosynthetic responses to temperature across the tropics: a meta-analytic approach
Abstract
This data package contains raw data, data output, and code of photosynthetic temperature response curves from tropical forests. Data are used in "Photosynthetic responses to temperature across the tropics: a meta-analytic approach". The research investigates how photosynthetic optimum temperatures and shapes of photosynthetic temperature response curves varies across tropical forest climates and growth conditions. Growth climate variables include mean annual temperature, max and max temperature, diurnal temperature range, and aridity index. Meta-analysis combines 18 datasets with representation from Africa, Oceana, North American, and South America. Growth conditions analyzed considers deciduousness, successional status, light conditions, and whether plants are grown in situ or ex situ. All files, except for the raw datafile (Tropical_MetaAnalysis_Master_3.8.22_Edit.csv), have been processed using R code, which is provided.
- Authors:
-
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- Oak Ridge National Laboratory
- Michigan Technological University
- The Australian National University
- Imperial College London
- James Cook University
- Western Sydney University
- Northern Arizona University
- Lawrence Berkeley National Laboratory
- United States Department of Agriculture International Institute of Tropical Forestry
- University of Edinburgh
- University of Tennessee
- Monash University
- U.S. Geological Survey, Southwest Biological Science Center
- University of Minnesota - St. Paul
- NASA Goddard Space Flight Center
- Smithsonian Tropical Research Institute
- Universidade Federal do Oeste do Pará
- University of Gothenburg
- University of Hong Kong
- Publication Date:
- DOE Contract Number:
- AC02-05CH11231
- Research Org.:
- Effects of Hurricane Disturbance and Increased Temperature on Carbon Cycling and Storage of a Puerto Rican Forest: A Mechanistic Investigation of Above- and Belowground Processes
- Sponsoring Org.:
- U.S. DOE > Office of Science > Biological and Environmental Research (BER); U.S.G.S. John Wesley Powell Center Working Center; U.S.D.A. Forest Service International Institute of Tropical Forestry; University of Puerto Rico; Australian Research Council; U.S. NSF Biological Integration Institutes; National Natural Science Foundation of China
- Subject:
- 54 ENVIRONMENTAL SCIENCES; A-Ci curves; EARTH SCIENCE > BIOSPHERE > ECOLOGICAL DYNAMICS > ECOSYSTEM FUNCTIONS > PHOTOSYNTHESIS; Meta-analysis; Photosynthesis; Temperature Response; Tropics; related identifiers
- OSTI Identifier:
- 2513897
- DOI:
- https://doi.org/10.15485/2513897
Citation Formats
Carter, Kelsey, Cavaleri, Molly, Atkin, Owen, Bloomfield, Keith, Bahar, Nur, Cheesman, Alex, Choury, Zineb, Crous, Kristine, Doughty, Christopher, Dusenge, Mirindi, Ely, Kim, Evans, John, Fonseca da Silva, Jéssica, Mau, Alida, Meir, Patrick, Medlyn, Belinda, Norby, Richard, Read, Jennifer, Reed, Sasha, Reich, Peter, Rogers, Alistair, Schwartz, Elsa, Serbin, Shawn, Slot, Martijn, Tribuzy, Edgard, Uddling, Johan, Vårhammar, Angelica, Walker, Anthony, Winter, Klaus, Wood, Tana, and Wu, Jin. Data for Photosynthetic responses to temperature across the tropics: a meta-analytic approach. United States: N. p., 2025.
Web. doi:10.15485/2513897.
Carter, Kelsey, Cavaleri, Molly, Atkin, Owen, Bloomfield, Keith, Bahar, Nur, Cheesman, Alex, Choury, Zineb, Crous, Kristine, Doughty, Christopher, Dusenge, Mirindi, Ely, Kim, Evans, John, Fonseca da Silva, Jéssica, Mau, Alida, Meir, Patrick, Medlyn, Belinda, Norby, Richard, Read, Jennifer, Reed, Sasha, Reich, Peter, Rogers, Alistair, Schwartz, Elsa, Serbin, Shawn, Slot, Martijn, Tribuzy, Edgard, Uddling, Johan, Vårhammar, Angelica, Walker, Anthony, Winter, Klaus, Wood, Tana, & Wu, Jin. Data for Photosynthetic responses to temperature across the tropics: a meta-analytic approach. United States. doi:https://doi.org/10.15485/2513897
Carter, Kelsey, Cavaleri, Molly, Atkin, Owen, Bloomfield, Keith, Bahar, Nur, Cheesman, Alex, Choury, Zineb, Crous, Kristine, Doughty, Christopher, Dusenge, Mirindi, Ely, Kim, Evans, John, Fonseca da Silva, Jéssica, Mau, Alida, Meir, Patrick, Medlyn, Belinda, Norby, Richard, Read, Jennifer, Reed, Sasha, Reich, Peter, Rogers, Alistair, Schwartz, Elsa, Serbin, Shawn, Slot, Martijn, Tribuzy, Edgard, Uddling, Johan, Vårhammar, Angelica, Walker, Anthony, Winter, Klaus, Wood, Tana, and Wu, Jin. 2025.
"Data for Photosynthetic responses to temperature across the tropics: a meta-analytic approach". United States. doi:https://doi.org/10.15485/2513897. https://www.osti.gov/servlets/purl/2513897. Pub date:Wed Jan 01 04:00:00 UTC 2025
@article{osti_2513897,
title = {Data for Photosynthetic responses to temperature across the tropics: a meta-analytic approach},
author = {Carter, Kelsey and Cavaleri, Molly and Atkin, Owen and Bloomfield, Keith and Bahar, Nur and Cheesman, Alex and Choury, Zineb and Crous, Kristine and Doughty, Christopher and Dusenge, Mirindi and Ely, Kim and Evans, John and Fonseca da Silva, Jéssica and Mau, Alida and Meir, Patrick and Medlyn, Belinda and Norby, Richard and Read, Jennifer and Reed, Sasha and Reich, Peter and Rogers, Alistair and Schwartz, Elsa and Serbin, Shawn and Slot, Martijn and Tribuzy, Edgard and Uddling, Johan and Vårhammar, Angelica and Walker, Anthony and Winter, Klaus and Wood, Tana and Wu, Jin},
abstractNote = {This data package contains raw data, data output, and code of photosynthetic temperature response curves from tropical forests. Data are used in "Photosynthetic responses to temperature across the tropics: a meta-analytic approach". The research investigates how photosynthetic optimum temperatures and shapes of photosynthetic temperature response curves varies across tropical forest climates and growth conditions. Growth climate variables include mean annual temperature, max and max temperature, diurnal temperature range, and aridity index. Meta-analysis combines 18 datasets with representation from Africa, Oceana, North American, and South America. Growth conditions analyzed considers deciduousness, successional status, light conditions, and whether plants are grown in situ or ex situ. All files, except for the raw datafile (Tropical_MetaAnalysis_Master_3.8.22_Edit.csv), have been processed using R code, which is provided.},
doi = {10.15485/2513897},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Jan 01 04:00:00 UTC 2025},
month = {Wed Jan 01 04:00:00 UTC 2025}
}
