The growth data contribute to determine the diversity of growth strategies of trees in the region as well as growth responses to varying climate. The climate data accompany other datastreams including continuously recorded leaf temperatures (using thermistors and thermal imaging), soil moisture, low time resolution growth and a wide range of hydraulic, thermal and photosynthesis traits for a representative set of species of the region. Tropical forest high resolution growth data measured as part of an effort to understand sensitivity of Western Ghats tropical forest trees to high temperatures and dry conditions. Full details about this dataset can be found at https://doi.org/10.5285/4fd3350b-f64c-4b7f-b129-4210f14a7e94

This dataset includes charcoal reflectance measurements. The charcoal pieces were collected from the soil surface in tropical rainforest plots in Feliz Natal (southern Brazil, n= 75) and Pucallpa (Peru, n=14) in 2015. In total, 89 charcoal pieces were measured for reflectance. The reflectance measurements were taken in a minimum of 24 and a maximum of 70 repetitions per sample. Full details about this dataset can be found at https://doi.org/10.5285/b2b5498c-8eef-44b0-9610-844784f9f16b

This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ngel Nyaki Forest, collected between June 2018 and July 2021. We investigated tree mortality driven by lightning strikes in a 40-ha area at the Ngel Nyaki Forest Dynamic Plot, located in south-eastern Nigeria. Ngel Nyaki is a submontane forest with an elevation range of 1,588–1,690m and is part of the Smithsonian's Forest Global Earth Observatory (ForestGEO) network. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing). Full details about this dataset can be found at https://doi.org/10.5285/5237ab05-04bd-44b6-9c53-d21eb2083e39

This dataset contains radiocarbon dating of pieces of macrocharcoal (~ ≥ 1 mm) collected from soil in Guyana, Peru and Brazil in plots located in the Amazon forest. All the sites are terra-firme, non-seasonally flooded and are part of the RAINFOR network. In total, 60 pieces of macrocharcoal were dated. The Amazon Forest Inventory Network is a long-term, international collaboration to understand the dynamics of Amazon ecosystems. Since 2000 they have developed a framework for systematic monitoring of forests from the ground-up, centred on plots that track the fate of trees and species, and includes soil and plant biogeochemical records, as well as intensive monitoring of carbon cycle processes at some sites. RAINFOR works with partners across the nations of Amazonia to support and sustain forest monitoring and help develop new generations of Amazon ecologists. The work of RAINFOR is currently supported by funding agencies in Brazil, the UK, and the EU. Full details about this dataset can be found at https://doi.org/10.5285/b06a08bc-39e5-4401-87dd-9568fd5048fd

This dataset contains measurements of soil pyrogenic carbon, ratio of %PyC to %Bulk Carbon and organic carbon, which were collected in a soil fertility gradient in the Amazon Basin. All samples were taken in old-growth forests. In total, 49 forest plots were sampled and analysed for PyC soil concentration, representing 395 soil samples. Full details about this dataset can be found at https://doi.org/10.5285/6410a578-d21a-4285-8e9c-57efbe2b60d5

This dataset contains includes measurements of trees and lianas stem diameters and status (e.g. alive, dead), and lightning strike data for forest areas within the Ankasa Conservation Area, collected between June 2018 and July 2021. We investigated tree mortality drive by lightning strikes in a 50-ha (1000 m x 500 m) plot area in the Ankasa Conservation Area, located in southwestern Ghana. The 50-ha was divided into 50 x 1-ha forest plots. In every census, we measured and tagged all trees and lianas that have a stem diameter at 1.3 m (or above buttresses) of ≥25 cm and notes were taken about the tree's living status (e.g., broken, hollow) or the trees death mode (e.g., uprooted, standing). Lightning strike data was collected from a subsample of the individual trees recorded in the census data. Full details about this dataset can be found at https://doi.org/10.5285/615481ab-e97d-4c73-9973-4fb80e5fb003

The data comprise soil moisture profile measurements taken at depths of 10cm, 25cm, 50cm and 110cm close to trees in a valley in a tropical forest, Sirsi Karnataka, Western Ghats, India, between January 2020 and January 2022. The data provide a measure of tree soil water stress when analysed with related data e.g. hydraulics, photosystem II temperature resilience, photosynthesis characteristics and leaf traits. The overall purpose of the measurements was to determine the eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest fragment site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/5a20234c-08b8-48c3-80da-3def9ba44626

The data comprise high resolution climate measurements including temperature, precipitation, relative humidity, wind gust speed, wind direction and dew point measured in an open space in proximity to a forest fragment close to Sirsi, Western Ghats, India in 2021 and 2022. The data provide background information used to determine the safety margins of Indian tropical forests to elevated temperatures and dry conditions. Please see related data for information on leaf temperature, soil moisture, and growth, hydraulic, thermal and photosynthetic traits for a representative set of plant species. Full details about this dataset can be found at https://doi.org/10.5285/d7b0dc22-053d-4a91-8e90-2f8b2ab794e4

This dataset includes time-series of pre-dawn and mid-day leaf water potentials for 10 tree species. The time-series covers one year with leaf water potentials measured every three months. These data when combined with hydraulic conductance vulnerability curves (also measured during this project) are an indicator of a tree's safe operating space under dry and high vapour pressure deficit conditions. The overall purpose of the measurements made by this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative forest site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/252b6a14-8a0e-4a6f-a879-99dff46fec71

This dataset includes tree eco-physiological traits characterising ranges of functioning of various components of trees. Specifically the dataset includes measurements of thermal limits of functioning of photosystem II, hydraulic safety margin, turgor loss point, CO2 assimilation versus temperature curves, leaf morphological traits for nine representative species measured during two seasons: post-monsoon and summer. The overall purpose of the measurements from this project is to determine eco-physiological limits of functioning of tropical trees in Western Ghats India and to relate them to continuously measured temperature and water status of tropical forest trees at a representative site (Sirsi). Full details about this dataset can be found at https://doi.org/10.5285/d057f4e4-c2c7-4cea-a5de-1562f970a533