TY - JOUR
T1 - Taking the pulse of Earth's tropical forests using networks of highly distributed plots
AU - Blundo, Cecilia
AU - Carilla, Julieta
AU - Grau, Ricardo
AU - Malizia, Agustina
AU - Malizia, Lucio
AU - Osinaga-Acosta, Oriana
AU - Bird, Michael
AU - Bradford, Matt
AU - Catchpole, Damien
AU - Ford, Andrew
AU - Graham, Andrew
AU - Hilbert, David
AU - Kemp, Jeanette
AU - Laurance, Susan
AU - Laurance, William
AU - Ishida, Francoise Yoko
AU - Marshall, Andrew
AU - Waite, Catherine
AU - Woell, Hannsjoerg
AU - Bastin, Jean-Francois
AU - Bauters, Marijn
AU - Beeckman, Hans
AU - Boeckx, Pfascal
AU - Bogaert, Jan
AU - De Canniere, Charles
AU - de Haulleville, Thales
AU - Doucet, Jean-Louis
AU - Hardy, Olivier
AU - Hubau, Wannes
AU - Kearsley, Elizabeth
AU - Verbeeck, Hans
AU - Vleminckx, Jason
AU - Brewer, Steven W.
AU - Alarcon, Alfredo
AU - Araujo-Murakami, Alejandro
AU - Arets, Eric
AU - Arroyo, Luzmila
AU - Chavez, Ezequiel
AU - Fredericksen, Todd
AU - Villaroel, Rene Guillen
AU - Sibauty, Gloria Gutierrez
AU - Killeen, Timothy
AU - Taylor, David
AU - Gardner, Toby
AU - Moore, Sam
AU - Peres, Carlos
AU - Ryan, Casey
AU - Sullivan, Martin
AU - Williams, Mathew
AU - Young, Kenneth
AU - ForestPlots Net
PY - 2021/8
Y1 - 2021/8
N2 - Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest science. In the future, humanity can benefit greatly by nurturing the grassroots communities now collectively capable of generating unique, long-term understanding of Earth's most precious forests.
AB - Tropical forests are the most diverse and productive ecosystems on Earth. While better understanding of these forests is critical for our collective future, until quite recently efforts to measure and monitor them have been largely disconnected. Networking is essential to discover the answers to questions that transcend borders and the horizons of funding agencies. Here we show how a global community is responding to the challenges of tropical ecosystem research with diverse teams measuring forests tree-by-tree in thousands of long-term plots. We review the major scientific discoveries of this work and show how this process is changing tropical forest science. Our core approach involves linking long-term grassroots initiatives with standardized protocols and data management to generate robust scaled-up results. By connecting tropical researchers and elevating their status, our Social Research Network model recognises the key role of the data originator in scientific discovery. Conceived in 1999 with RAINFOR (South America), our permanent plot networks have been adapted to Africa (AfriTRON) and Southeast Asia (T-FORCES) and widely emulated worldwide. Now these multiple initiatives are integrated via ForestPlots.net cyber-infrastructure, linking colleagues from 54 countries across 24 plot networks. Collectively these are transforming understanding of tropical forests and their biospheric role. Together we have discovered how, where and why forest carbon and biodiversity are responding to climate change, and how they feedback on it. This long-term pan-tropical collaboration has revealed a large long-term carbon sink and its trends, as well as making clear which drivers are most important, which forest processes are affected, where they are changing, what the lags are, and the likely future responses of tropical forests as the climate continues to change. By leveraging a remarkably old technology, plot networks are sparking a very modern revolution in tropical forest science. In the future, humanity can benefit greatly by nurturing the grassroots communities now collectively capable of generating unique, long-term understanding of Earth's most precious forests.
KW - Amazonia
KW - Africa
KW - Southeast Asia
KW - Rainforest
KW - RAINFOR
KW - AfriTRON
KW - Species richness
KW - Forest plots
KW - Permanent sample plots
KW - Monitoring
KW - Dynamics
KW - Carbon sink
KW - Global change
KW - Ecology
KW - Biodiversity
KW - SPECIES RICHNESS
KW - ABOVEGROUND BIOMASS
KW - DROUGHT SENSITIVITY
KW - WOOD PRODUCTIVITY
KW - SPATIAL-PATTERNS
KW - CARBON BALANCE
KW - TREE TURNOVER
KW - RAIN-FOREST
KW - DENSITY
KW - DIVERSITY
UR - http://www.scopus.com/inward/record.url?scp=85106283218&partnerID=8YFLogxK
U2 - 10.1016/j.biocon.2020.108849
DO - 10.1016/j.biocon.2020.108849
M3 - Article
VL - 260
JO - Biological Conservation
JF - Biological Conservation
SN - 0006-3207
M1 - 108849
ER -