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Multiscale phenology of seasonally dry tropical forests in an aridity gradient

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Ramos, Desiree M. ; Andrade, Joao M. ; Alberton, Bruna C. ; Moura, Magna S. B. ; Domingues, Tomas F. ; Neves, Nattalia ; Lima, Jose R. S. ; Souza, Rodolfo ; Souza, Eduardo ; Silva, Jose R. ; Espirito-Santo, Mario M. ; Morellato, Leonor Patricia Cerdeira ; Cunha, John
Total Authors: 13
Document type: Journal article
Source: FRONTIERS IN ENVIRONMENTAL SCIENCE; v. 11, p. 16-pg., 2023-12-18.
Abstract

The leaf phenology of seasonally dry tropical forests (SDTFs) is highly seasonal, marked by synchronized flushing of new leaves triggered by the first rains of the wet season. Such phenological transitions may not be accurately detected by remote sensing vegetation indices and derived transition dates (TDs) due to the coarse spatial and temporal resolutions of satellite data. The aim of this study was to compared TDs from PhenoCams and satellite remote sensing (RS) and used the TDs calculated from PhenoCams to select the best thresholds for RS time series and calculate TDs. For this purpose, we assembled cameras in seven sites along an aridity gradient in the Brazilian Caatinga, a region dominated by SDTFs. The leafing patterns were registered during one to three growing seasons from 2017 to 2020. We drew a region of interest (ROI) in the images to calculate the normalized green chromatic coordinate index. We compared the camera data with the NDVI time series (2000-2019) derived from near-infrared (NIR) and red bands from MODIS product data. Using calibrated PhenoCam thresholds reduced the mean absolute error by 5 days for SOS and 34 days for EOS, compared to common thresholds in land surface phenology studies. On average, growing season length (LOS) did not differ significantly among vegetation types, but the driest sites showed the highest interannual variation. This pattern was applied to leaf flushing (SOS) and leaf fall (EOS) as well. We found a positive relationship between the accumulated precipitation and the LOS and between the accumulated precipitation and maximum and minimum temperatures and the vegetation productivity (peak and accumulated NDVI). Our results demonstrated that (A) the fine temporal resolution of phenocamera phenology time series improved the definitions of TDs and thresholds for RS landscape phenology; (b) long-term RS greening responded to the variability in rainfall, adjusting their timing of green-up and green-down, and (C) the amount of rainfall, although not determinant for the length of the growing season, is related to the estimates of vegetation productivity. (AU)

FAPESP's process: 19/11835-2 - Phenology of deciduous dry forests: a comparison at multiple spatial scales using phenocams and drones
Grantee:Leonor Patricia Cerdeira Morellato
Support Opportunities: Regular Research Grants
FAPESP's process: 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems
Grantee:Leonor Patricia Cerdeira Morellato
Support Opportunities: Research Program on Global Climate Change - University-Industry Cooperative Research (PITE)
FAPESP's process: 21/10639-5 - Center for Research on Biodiversity Dynamics and Climate Change
Grantee:Leonor Patricia Cerdeira Morellato
Support Opportunities: Research Grants - Research, Innovation and Dissemination Centers - RIDC
FAPESP's process: 16/01413-5 - Using leaf phenology patterns to investigate net ecosystem exchange controls in tropical vegetations
Grantee:Bruna de Costa Alberton
Support Opportunities: Scholarships abroad - Research Internship - Doctorate
FAPESP's process: 22/07735-5 - The impact of climate variability and weather extremes on plant phenology and its implications on biodiversity
Grantee:Leonor Patricia Cerdeira Morellato
Support Opportunities: Research Program on Global Climate Change - Thematic Grants
FAPESP's process: 15/50488-5 - Nordeste: new science for a neglected biome
Grantee:Jonathan James Lloyd
Support Opportunities: Research Projects - SPEC Program
FAPESP's process: 14/00215-0 - Remote phenology and leaf exchange patterns towards a sazonality gradient
Grantee:Bruna de Costa Alberton
Support Opportunities: Scholarships in Brazil - Doctorate
FAPESP's process: 09/54208-6 - Multi-User Centralized Laboratory at the São Paulo State University Center for Biodiversity Studies
Grantee:Célio Fernando Baptista Haddad
Support Opportunities: Multi-user Equipment Program
FAPESP's process: 17/17380-1 - Near-surface remote phenology and leaf attributes of seasonal vegetation
Grantee:Desirée Marques Ramos
Support Opportunities: Scholarships in Brazil - Post-Doctoral