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Pubblicazioni Scientifiche
Filtri di ricerca 14 risultati
Pubblicazioni per anno
Estimating canopy and stand structure in hybrid poplar plantations from multispectral UAV imagery
Romano
,
Elio
,
Brambilla
,
Massimo
,
Chianucci
,
Francesco
,
Tattoni
,
Clara
,
Puletti
,
Nicola
,
Chirici
,
Gherardo
,
Travaglini
,
Davide
,
Giannetti
,
Francesca
canopy photography
canopy structure
poplar plantation
texture metrics
digital camera
gclm metrics
unmanned aerial vehicle
Mostra abstract
Accurate estimates of canopy structure like canopy cover (CC), Leaf Area Index (LAI), crown volume (Vcr), as well as tree and stand structure like stem volume (V_st) and basal area (G), are considered essential measures to manage poplar plantations effectively as they are correlated with the growth rate and the detection of possible stress. This research exploits the possibility of developing a precision forestry application using an unmanned aerial vehicle (UAV), terrestrial digital camera and traditional field measurements to monitor poplar plantation variables. We set up the procedure using explanatory variables from the Grey Level Co-occurrence Matrix textural metrics (Entropy, Variance, Dissimilarity and Contrast) calculated based on UAV multispectral imagery. Our results show that the GCLM texture derived by multispectral ortomosaic provides adequate explanatory variables to predict poplar plantation characteristics related to plants' canopy and stand structure. The evaluation of the models targeting the different poplar plantation variables (i.e. Vcr, G_ha, Vst_ha, CC and LAI) with the four GLCM explanatory variables (i.e. Entropy, Variance, Dissimilarity and Contrast) consistently higher or equal resulted to R<sup>2</sup> ≥0.86. © 2024, Editura Silvica. All rights reserved.
A deep learning approach for automatic mapping of poplar plantations using Sentinel-2 imagery
D'Amico
,
Giovanni
,
Francini
,
Saverio
,
Giannetti
,
Francesca
,
Vangi
,
Elia
,
Travaglini
,
Davide
,
Chianucci
,
Francesco
,
Mattioli
,
Walter
,
Grotti
,
Mirko
,
Puletti
,
Nicola
,
Corona
,
P.
,
Chirici
,
Gherardo
deep learning
big data
forest tree crops
fully connected neural networks
multitemporal classification
tree species mapping
Mostra abstract
Poplars are one of the most widespread fast-growing tree species used for forest plantations. Owing to their distinct features (fast growth and short rotation) and the dependency on the timber price market, poplar plantations are characterized by large inter-annual fluctuations in their extent and distribution. Therefore, monitoring poplar plantations requires a frequent update of information–not feasible by National Forest Inventories due to their periodicity–achievable by remote sensing systems applications. In particular, the new Sentinel-2 mission, with a revisiting period of 5 days, represents a potentially efficient tool for meeting this need. In this paper, we present a deep learning approach for mapping poplar plantations using Sentinel-2 time series. A reference dataset of poplar plantations was available for a large study area of more than 46,000 km<sup>2</sup> in Northern Italy and served as training and testing data. Two classification methods were compared: (1) a fully connected neural network (also called multilayer perceptron), and (2) a traditional logistic regression. The performance of the two approaches was estimated through bootstrapping procedure with a confidence interval of 99%. Results indicated for deep learning an omission error rate of 2.77%±2.76%, showing improvements compared to logistic regression, omission error rate = 8.91%±4.79%. © 2021 Informa UK Limited, trading as Taylor & Francis Group.
Assessment of UAV photogrammetric DTM-independent variables for modelling and mapping forest structural indices in mixed temperate forests
Giannetti
,
Francesca
,
Puletti
,
Nicola
,
Puliti
,
Stefano
,
Travaglini
,
Davide
,
Chirici
,
Gherardo
biodiversity
precision forestry
forest structure
forest inventory
airborne laser scanning
drone
dtm-independent
structure from motion
Mostra abstract
In the EU 2020 biodiversity strategy, maintaining and enhancing forest biodiversity is essential. Forest managers and technicians should include biodiversity monitoring as support for sustainible forest management and conservation issues, through the adoption of forest biodiversity indices. The present study investigates the potential of a new type of Structure from Motion (SfM) photogrammetry derived variables for modelling forest structure indicies, which do not require the availability of a digital terrain model (DTM) such as those obtainable from Airborne Laser Scanning (ALS) surveys. The DTM-independent variables were calculated using raw 3D UAV photogrammetric data for modeling eight forest structure indices which are commonly used for forest biodiversity monitoring, namely: basal area (G); quadratic mean diameter (DBH<inf>mean</inf>); the standard deviation of Diameter at Breast Height (DBH<inf>σ</inf>); DBH Gini coefficient (Gini); the standard deviation of tree heights (H<inf>σ</inf>); dominant tree height (H<inf>dom</inf>); Lorey's height (H<inf>l</inf>); and growing stock volume (V). The study included two mixed temperate forests areas with a different type of management, with one area, left unmanaged for the past 50 years while the other being actively managed. A total of 30 field sample plots were measured in the unmanaged forest, and 50 field plots were measured in the actively managed forest. The accuracy of UAV DTM-independent predictions was compared with a benchmark approach based on traditional explanatory variables calculated from ALS data. Finally, DTM-independent variables were used to produce wall-to-wall maps of the forest structure indices in the two test areas and to estimate the mean value and its uncertainty according to a model-assisted regression estimators. DTM-independent variables led to similar predictive accuracy in terms of root mean square error compared to ALS in both study areas for the eight structure indices (DTM-independent average RMSE<inf>%</inf> = 20.5 and ALS average RMSE<inf>%</inf> = 19.8). Moreover, we found that the model-assisted estimation, with both DTM-independet and ALS, obtained lower standar errors (SE) compared to the one obtained by model-based estimation using only field plots. Relative efficiency coefficient (RE) revealed that ALS-based estimates were, on average, more efficient (average RE ALS = 3.7) than DTM-independent, (average RE DTM-independent = 3.3). However, the RE for the DTM-independent models was consistently larger than the one from the ALS models for the DBH-related variables (i.e. G, DBH<inf>mean</inf>, and DBH<inf>σ</inf>) and for V. This highlights the potential of DTM-independent variables, which not only can be used virtually on any forests (i.e., no need of a DTM), but also can produce as precise estimates as those from ALS data for key forest structural variables and substantially improve the efficiency of forest inventories. © 2020 Elsevier Ltd
Large-scale two-phase estimation of wood production by poplar plantations exploiting sentinel-2 data as auxiliary information
Marcelli
,
Agnese
,
Mattioli
,
Walter
,
Puletti
,
Nicola
,
Chianucci
,
Francesco
,
Gianelle
,
Damiano
,
Grotti
,
Mirko
,
Chirici
,
Gherardo
,
D'Amico
,
Giovanni
,
Francini
,
Saverio
,
Travaglini
,
Davide
,
Fattorini
,
Lorenzo
,
Corona
,
P.
national forest inventories
regression estimator
sentinel-2
design-based inference
first-phase tessellation stratified sampling
second-phase stratified sampling
simulation study
Mostra abstract
Growing demand for wood products, combined with efforts to conserve natural forests, have supported a steady increase in the global extent of planted forests. Here, a two-phase sampling strategy for large-scale assessment of the total area and the total wood volume of fast-growing forest tree crops within agricultural land is presented. The first phase is performed using tessellation stratified sampling on high-resolution remotely sensed imagery and is sufficient for estimating the total area of plantations by means of a Monte Carlo integration estimator. The second phase is performed using stratified sampling of the plantations selected in the first phase and is aimed at estimating total wood volume by means of an approximation of the first-phase Horvitz-Thompson estimator. Vegetation indices from Sentinel-2 are exploited as freely available auxiliary information in a linear regression estimator to improve the design-based precision of the estimator based on the sole sample data. Estimators of the totals and of the design-based variances of total estimators are presented. A simulation study is developed in order to check the design-based performance of the two alternative estimators under several artificial distributions supposed for poplar plantations (random, clustered, spatially trended). An application in Northern Italy is also reported. The regression estimator turns out to be invariably better than that based on the sole sample information. Possible integrations of the proposed sampling scheme with conventional national forest inventories adopting tessellation stratified sampling in the first phase are discussed. © 2020, Finnish Society of Forest Science. All rights reserved.
Integrating terrestrial and airborne laser scanning for the assessment of single-tree attributes in Mediterranean forest stands
Giannetti
,
Francesca
,
Puletti
,
Nicola
,
Quatrini
,
Valerio
,
Travaglini
,
Davide
,
Bottalico
,
Francesca
,
Corona
,
P.
,
Chirici
,
Gherardo
Mostra abstract
The development of laser scanning technologies has gradually modified methods for forest mensuration and inventory. The main objective of this study is to assess the potential of integrating ALS and TLS data in a complex mixed Mediterranean forest for assessing a set of five single-tree attributes: tree position (TP), stem diameter at breast height (DBH), tree height (TH), crown base height (CBH) and crown projection area radii (CPAR). Four different point clouds were used: from ZEB1, a hand-held mobile laser scanner (HMLS), and from FARO® FOCUS 3D, a static terrestrial laser scanner (TLS), both alone or in combination with ALS. The precision of single-tree predictions, in terms of bias and root mean square error, was evaluated against data recorded manually in the field with traditional instruments. We found that: (i) TLS and HMLS have excellent comparable performances for the estimation of TP, DBH and CPAR; (ii) TH was correctly assessed by TLS, while the accuracy by HMLS was lower; (iii) CBH was the most difficult attribute to be reliably assessed and (iv) the integration with ALS increased the performance of the assessment of TH and CPAR with both HMLS and TLS. © 2018, © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
Integrated forest management to prevent wildfires under mediterranean environments
Corona
,
P.
,
Ascoli
,
Davide
,
Barbati
,
Anna
,
Bovio
,
Giovanni
,
Colangelo
,
Giuseppe
,
Elia
,
Mario
,
Garfì
,
Vittorio
,
Iovino
,
Francesco
,
Lafortezza
,
Raffaele
,
Leone
,
Vittorio
,
Lovreglio
,
Raffella
,
Marchetti
,
Marco
,
Marchi
,
Enrico
,
Menguzzato
,
Giuliano
,
Nocentini
,
Susanna
,
Picchio
,
Rodolfo
,
Portoghesi
,
Luigi
,
Puletti
,
Nicola
,
Sanesi
,
Giovanni
,
Chianucci
,
Francesco
Mostra abstract
This review presents a multidisciplinary framework for integrating the ecological, regulatory, procedural and technical aspects of forest management for fires prevention under Mediterranean environments. The aims are to: i) provide a foreground of wildfire scenario; ii) illustrate the theoretical background of forest fuel management; iii) describe the available fuel management techniques and mechanical operations for fire prevention in forest and wildland-urban interfaces, with exemplification of case-studies; iv) allocate fire prevention activities under the hierarchy of forest planning. The review is conceived as an outline commentary discussion targeted to professionals, technicians and government personnel involved in forestry and environmental management.
Continental Contrasts in Climate Extremes That Control Tree Fecundity
Clark
,
James S.
,
Andrus
,
Robert A.
,
Arianoutsou
,
Margarita
,
Ascoli
,
Davide
,
Bergeron
,
Yves
,
Bogdziewicz
,
Michał
,
Boivin
,
Thomas
,
Bonal
,
Raúl
,
Caignard
,
Thomas
,
Cailleret
,
Maxime
,
Calama
,
Rafael A.
,
Camarero
,
Jesús Julio
,
Chianucci
,
Francesco
,
Cienciala
,
Emil
,
Courbaud
,
Benoít
,
Delzon
,
Sylvain
,
Dietze
,
Michael C.
,
Espelta
,
Josep Maria
,
Fady
,
Bruno
,
Fyllas
,
Nikolaos M.
,
Gilbert
,
Gregory S.
,
Gratzer
,
Georg
,
Guignabert
,
Arthur
,
Hacket-Pain
,
Andrew J.
,
Hampe
,
Arndt
,
Hanley
,
Mick E.
,
Hille Ris Lambers
,
Janneke
,
Holik
,
Jan
,
Hoshizaki
,
K.
,
Hu
,
Miao
,
Ibáñez
,
Inés
,
Işık
,
Fatih
,
Jenkins
,
Lauren
,
Johnstone
,
Jill F.
,
Journé
,
Valentin
,
Kadioglu
,
Alper Kaan
,
Kızılaslan
,
İrem Sena
,
Knops
,
Johannes Michael Hubertus
,
Kobe
,
Richard K.
,
Köse
,
Nesibe
,
Külah
,
Eylül U.
,
Kunstler
,
Georges
,
LaMontagne
,
Jalene M.
,
Ledwoń
,
Mateusz
,
Lehtonen
,
Aleksi
,
Loewe-Muñoz
,
Verónica F.
,
Lutz
,
James A.
,
Mårell
,
Anders
,
Meyer
,
Kira
,
Moran
,
Emily V.
,
Motta
,
Renzo
,
Myers
,
Jonathan A.
,
Nagel
,
Thomas A.
,
Pérez-Ramos
,
Ignacio M.
,
Piechnik
,
Łukasz
,
Podgórski
,
Tomasz
,
Poulton-Kamakura
,
Renata
,
Qiu
,
Tong
,
Redmond
,
Miranda D.
,
Reid
,
Chantal D.
,
Rodman
,
Kyle C.
,
Rodríguez-Sánchez
,
Francisco
,
Šamonil
,
Pavel
,
Šebeň
,
Vladimír
,
Seget
,
Barbara
,
Sharma
,
Shubhi
,
Socha
,
Jarosław Ł.
,
Steele
,
Michael A.
,
Straub
,
Jacob N.
,
Sutton
,
Samantha
,
Thomas
,
Peter A.
,
Vacchiano
,
Giorgio
,
Venner
,
Marie Claude
,
Venner
,
Samuel
,
Zavala
,
Miguel A.
,
Zheng
,
Shiqi
,
Żywiec
,
Magdalena
Mostra abstract
In 2023, more than half of olive harvests (Olea europaea) across Spain, Greece, and Türkiye were lost to drought. The same year late freeze destroyed 90% of the peach crop (Prunus persica) on the Georgia Piedmont and the apple crop (Malus domestica) in central New York, Vermont, and southern Quebec. Climate extremes now rank with the costliest threats to agriculture, but their role in forest recovery from diebacks that are happening globally is unknown for lack of tree fecundity estimates in forests. Tolerance of climate extremes could depend on past exposure but constrained by phylogenetic conservatism. We report a continental scale analysis of climate extremes and forest fecundity across North America and Europe showing that responses to late freeze and drought are happening now. Species differences are not explained by the traits typically included in ecological studies and they are weakly associated with phylogeny. Late freeze, that is, freezing temperatures that follow the onset of flower development in spring, is shown to be “normal” in North America, but not Europe, potentially explaining failed seed production due to delayed onset and the resultant shorter growing period by North American transplants dating back at least to the 18th century. Drought has thus far had the greatest impacts in dry forested regions, but here too, species differences are not explained by traditional trait values. If responses have been buffered from drought and late freeze by past exposure, acclimation and local adaptation prove inadequate as extremes intensify. © 2026 John Wiley & Sons Ltd.
The Relationship Between Maturation Size and Maximum Tree Size From Tropical to Boreal Climates
Journé
,
Valentin
,
Bogdziewicz
,
Michał
,
Courbaud
,
Benoít
,
Kunstler
,
Georges
,
Qiu
,
Tong
,
Aravena Acuña
,
Marie Claire
,
Ascoli
,
Davide
,
Bergeron
,
Yves
,
Berveiller
,
Daniel
,
Boivin
,
Thomas
,
Bonal
,
Raúl
,
Caignard
,
Thomas
,
Cailleret
,
Maxime
,
Calama
,
Rafael A.
,
Camarero
,
Jesús Julio
,
Chang-Yang
,
Chia Hao
,
Chave
,
Jérôme
,
Chianucci
,
Francesco
,
Curt
,
Thomas
,
Cutini
,
Andrea
,
Das
,
Adrian J.
,
Daskalakou
,
Evangelia N.
,
Davi
,
Hendrik
,
Delpierre
,
Nicolas
,
Delzon
,
Sylvain
,
Dietze
,
Michael C.
,
Calderon
,
Sergio Donoso
,
Dormont
,
Laurent
,
Espelta
,
Josep Maria
,
Farfan-Rios
,
William R.
,
Fenner
,
Michael
,
Franklin
,
Jerry F.
,
Gehring
,
Catherine A.
,
Gilbert
,
Gregory S.
,
Gratzer
,
Georg
,
Greenberg
,
Cathryn H.
,
Guignabert
,
Arthur
,
Guo
,
Qinfeng
,
Hacket-Pain
,
Andrew J.
,
Hampe
,
Arndt
,
Han
,
Qingmin
,
Hanley
,
Mick E.
,
Hille Ris Lambers
,
Janneke
,
Holik
,
Jan
,
Hoshizaki
,
K.
,
Ibáñez
,
Inés
,
Johnstone
,
Jill F.
,
Knops
,
Johannes Michael Hubertus
,
Kobe
,
Richard K.
,
Kurokawa
,
Hiroko
,
Lageard
,
Jonathan G.A.
,
LaMontagne
,
Jalene M.
,
Ledwoń
,
Mateusz
,
Lefèvre
,
François
,
Leininger
,
Theodor D.
,
Limousin
,
Jean Marc
,
Lutz
,
James A.
,
Macias
,
Diana S.
,
Mårell
,
Anders
,
McIntire
,
Eliot J.B.
,
Moran
,
Emily V.
,
Motta
,
Renzo
,
Myers
,
Jonathan A.
,
Nagel
,
Thomas A.
,
Naoe
,
Shoji
,
Noguchi
,
Mahoko
,
Norghauer
,
Julian M.
,
Oguro
,
Michio
,
Ourcival
,
Jean Marc
,
Parmenter
,
Robert R.
,
Pearse
,
Ian S.
,
Pérez-Ramos
,
Ignacio M.
,
Piechnik
,
Łukasz
,
Podgórski
,
Tomasz
,
Poulsen
,
John R.
,
Redmond
,
Miranda D.
,
Reid
,
Chantal D.
,
Šamonil
,
Pavel
,
Scher
,
C. Lane
,
Schlesinger
,
William H.
,
Seget
,
Barbara
,
Sharma
,
Shubhi
,
Shibata
,
Mitsue
,
Silman
,
Miles R.
,
Steele
,
Michael A.
,
Stephenson
,
Nathan L.
,
Straub
,
Jacob N.
,
Sutton
,
Samantha
,
Swenson
,
Jennifer J.
,
Swift
,
Margaret
,
Thomas
,
Peter A.
,
Uríarte
,
María
,
Vacchiano
,
Giorgio
,
Whipple
,
Amy Vaughn
,
Whitham
,
Thomas G.
,
Wright
,
Stuart Joseph
,
Zhu
,
Kai
,
Zimmerman
,
Jess K.
,
Żywiec
,
Magdalena
,
Clark
,
James S.
Mostra abstract
The fundamental trade-off between current and future reproduction has long been considered to result in a tendency for species that can grow large to begin reproduction at a larger size. Due to the prolonged time required to reach maturity, estimates of tree maturation size remain very rare and we lack a global view on the generality and the shape of this trade-off. Using seed production from five continents, we estimate tree maturation sizes for 486 tree species spanning tropical to boreal climates. Results show that a species' maturation size increases with maximum size, but in a non-proportional way: the largest species begin reproduction at smaller sizes than would be expected if maturation were simply proportional to maximum size. Furthermore, the decrease in relative maturation size is steepest in cold climates. These findings on maturation size drivers are key to accurately represent forests' responses to disturbance and climate change. © 2024 John Wiley & Sons Ltd.
Evolutionary ecology of masting: mechanisms, models, and climate change
Bogdziewicz
,
Michał
,
Kelly
,
Dave J.
,
Ascoli
,
Davide
,
Caignard
,
Thomas
,
Chianucci
,
Francesco
,
Crone
,
Elizabeth E.
,
Fleurot
,
Emilie
,
Foest
,
Jessie J.
,
Gratzer
,
Georg
,
Hagiwara
,
Tomika
,
Han
,
Qingmin
,
Journé
,
Valentin
,
Keurinck
,
Léa
,
Kondrat
,
Katarzyna
,
McClory
,
Ryan W.
,
LaMontagne
,
Jalene M.
,
Mundo
,
Ignacio A.
,
Nussbaumer
,
Anita
,
Oberklammer
,
Iris
,
Ohno
,
Misuzu
,
Pearse
,
Ian S.
,
Pesendorfer
,
Mario B.
,
Resente
,
Giulia
,
Satake
,
Akiko
,
Shibata
,
Mitsue
,
Snell
,
Rebecca S.
,
Szymkowiak
,
Jakub
,
Touzot
,
Laura
,
Zwolak
,
Rafał
,
Żywiec
,
Magdalena
,
Hacket-Pain
,
Andrew J.
Mostra abstract
Many perennial plants show mast seeding, characterized by synchronous and highly variable reproduction across years. We propose a general model of masting, integrating proximate factors (environmental variation, weather cues, and resource budgets) with ultimate drivers (predator satiation and pollination efficiency). This general model shows how the relationships between masting and weather shape the diverse responses of species to climate warming, ranging from no change to lower interannual variation or reproductive failure. The role of environmental prediction as a masting driver is being reassessed; future studies need to estimate prediction accuracy and the benefits acquired. Since reproduction is central to plant adaptation to climate change, understanding how masting adapts to shifting environmental conditions is now a central question. © 2024 The Authors
Widespread breakdown in masting in European beech due to rising summer temperatures
Foest
,
Jessie J.
,
Bogdziewicz
,
Michał
,
Pesendorfer
,
Mario B.
,
Ascoli
,
Davide
,
Cutini
,
Andrea
,
Nussbaumer
,
Anita
,
Verstraeten
,
Arne
,
Beudert
,
Burkhard
,
Chianucci
,
Francesco
,
Mezzavilla
,
Francesco
,
Gratzer
,
Georg
,
Kunstler
,
Georges
,
Meesenburg
,
H.
,
Wagner
,
Markus
,
Mund
,
Martina
,
Cools
,
Nathalie
,
Vacek
,
Stanislav
,
Schmidt
,
Wolfgang
,
Vacek
,
Zdeněk Ck
,
Hacket-Pain
,
Andrew J.
Mostra abstract
Climate change effects on tree reproduction are poorly understood, even though the resilience of populations relies on sufficient regeneration to balance increasing rates of mortality. Forest-forming tree species often mast, i.e. reproduce through synchronised year-to-year variation in seed production, which improves pollination and reduces seed predation. Recent observations in European beech show, however, that current climate change can dampen interannual variation and synchrony of seed production and that this masting breakdown drastically reduces the viability of seed crops. Importantly, it is unclear under which conditions masting breakdown occurs and how widespread breakdown is in this pan-European species. Here, we analysed 50 long-term datasets of population-level seed production, sampled across the distribution of European beech, and identified increasing summer temperatures as the general driver of masting breakdown. Specifically, increases in site-specific mean maximum temperatures during June and July were observed across most of the species range, while the interannual variability of population-level seed production (CVp) decreased. The declines in CVp were greatest, where temperatures increased most rapidly. Additionally, the occurrence of crop failures and low seed years has decreased during the last four decades, signalling altered starvation effects of masting on seed predators. Notably, CVp did not vary among sites according to site mean summer temperature. Instead, masting breakdown occurs in response to warming local temperatures (i.e. increasing relative temperatures), such that the risk is not restricted to populations growing in warm average conditions. As lowered CVp can reduce viable seed production despite the overall increase in seed count, our results warn that a covert mechanism is underway that may hinder the regeneration potential of European beech under climate change, with great potential to alter forest functioning and community dynamics. © 2024 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
Masting is uncommon in trees that depend on mutualist dispersers in the context of global climate and fertility gradients
Qiu
,
Tong
,
Aravena Acuña
,
Marie Claire
,
Ascoli
,
Davide
,
Bergeron
,
Yves
,
Bogdziewicz
,
Michał
,
Boivin
,
Thomas
,
Bonal
,
Raúl
,
Caignard
,
Thomas
,
Cailleret
,
Maxime
,
Calama
,
Rafael A.
,
Calderon
,
Sergio Donoso
,
Camarero
,
Jesús Julio
,
Chang-Yang
,
Chia Hao
,
Chave
,
Jérôme
,
Chianucci
,
Francesco
,
Courbaud
,
Benoít
,
Cutini
,
Andrea
,
Das
,
Adrian J.
,
Delpierre
,
Nicolas
,
Delzon
,
Sylvain
,
Dietze
,
Michael C.
,
Dormont
,
Laurent
,
Espelta
,
Josep Maria
,
Fahey
,
Timothy J.
,
Farfan-Rios
,
William R.
,
Franklin
,
Jerry F.
,
Gehring
,
Catherine A.
,
Gilbert
,
Gregory S.
,
Gratzer
,
Georg
,
Greenberg
,
Cathryn H.
,
Guignabert
,
Arthur
,
Guo
,
Qinfeng
,
Hacket-Pain
,
Andrew J.
,
Hampe
,
Arndt
,
Han
,
Qingmin
,
Holik
,
Jan
,
Hoshizaki
,
K.
,
Ibáñez
,
Inés
,
Johnstone
,
Jill F.
,
Journé
,
Valentin
,
Kitzberger
,
Thomas A.
,
Knops
,
Johannes Michael Hubertus
,
Kunstler
,
Georges
,
Kurokawa
,
Hiroko
,
Lageard
,
Jonathan G.A.
,
LaMontagne
,
Jalene M.
,
Lefèvre
,
François
,
Leininger
,
Theodor D.
,
Limousin
,
Jean Marc
,
Lutz
,
James A.
,
Macias
,
Diana S.
,
Mårell
,
Anders
,
McIntire
,
Eliot J.B.
,
Moore
,
Christopher M.
,
Moran
,
Emily V.
,
Motta
,
Renzo
,
Myers
,
Jonathan A.
,
Nagel
,
Thomas A.
,
Naoe
,
Shoji
,
Noguchi
,
Mahoko
,
Oguro
,
Michio
,
Parmenter
,
Robert R.
,
Pearse
,
Ian S.
,
Pérez-Ramos
,
Ignacio M.
,
Piechnik
,
Łukasz
,
Podgórski
,
Tomasz
,
Poulsen
,
John R.
,
Redmond
,
Miranda D.
,
Reid
,
Chantal D.
,
Rodman
,
Kyle C.
,
Rodríguez-Sánchez
,
Francisco
,
Šamonil
,
Pavel
,
Sanguinetti
,
Javier D.
,
Scher
,
C. Lane
,
Seget
,
Barbara
,
Sharma
,
Shubhi
,
Shibata
,
Mitsue
,
Silman
,
Miles R.
,
Steele
,
Michael A.
,
Stephenson
,
Nathan L.
,
Straub
,
Jacob N.
,
Sutton
,
Samantha
,
Swenson
,
Jennifer J.
,
Swift
,
Margaret
,
Thomas
,
Peter A.
,
Uríarte
,
María
,
Vacchiano
,
Giorgio
,
Whipple
,
Amy Vaughn
,
Whitham
,
Thomas G.
,
Wion
,
Andreas P.
,
Wright
,
Stuart Joseph
,
Zhu
,
Kai
,
Zimmerman
,
Jess K.
,
Żywiec
,
Magdalena
,
Clark
,
James S.
Mostra abstract
The benefits of masting (volatile, quasi-synchronous seed production at lagged intervals) include satiation of seed predators, but these benefits come with a cost to mutualist pollen and seed dispersers. If the evolution of masting represents a balance between these benefits and costs, we expect mast avoidance in species that are heavily reliant on mutualist dispersers. These effects play out in the context of variable climate and site fertility among species that vary widely in nutrient demand. Meta-analyses of published data have focused on variation at the population scale, thus omitting periodicity within trees and synchronicity between trees. From raw data on 12 million tree-years worldwide, we quantified three components of masting that have not previously been analysed together: (i) volatility, defined as the frequency-weighted year-to-year variation; (ii) periodicity, representing the lag between high-seed years; and (iii) synchronicity, indicating the tree-to-tree correlation. Results show that mast avoidance (low volatility and low synchronicity) by species dependent on mutualist dispersers explains more variation than any other effect. Nutrient-demanding species have low volatility, and species that are most common on nutrient-rich and warm/wet sites exhibit short periods. The prevalence of masting in cold/dry sites coincides with climatic conditions where dependence on vertebrate dispersers is less common than in the wet tropics. Mutualist dispersers neutralize the benefits of masting for predator satiation, further balancing the effects of climate, site fertility and nutrient demands. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.
Linking seed size and number to trait syndromes in trees
Bogdziewicz
,
Michał
,
Aravena Acuña
,
Marie Claire
,
Andrus
,
Robert A.
,
Ascoli
,
Davide
,
Bergeron
,
Yves
,
Brveiller
,
Daniel
,
Boivin
,
Thomas
,
Bonal
,
Raúl
,
Caignard
,
Thomas
,
Cailleret
,
Maxime
,
Calama
,
Rafael A.
,
Calderon
,
Sergio Donoso
,
Camarero
,
Jesús Julio
,
Chang-Yang
,
Chia Hao
,
Chave
,
Jérôme
,
Chianucci
,
Francesco
,
Cleavitt
,
Natalie L.
,
Courbaud
,
Benoít
,
Cutini
,
Andrea
,
Curt
,
Thomas
,
Das
,
Adrian J.
,
Davi
,
Hendrik
,
Delpierre
,
Nicolas
,
Delzon
,
Sylvain
,
Dietze
,
Michael C.
,
Dormont
,
Laurent
,
Farfan-Rios
,
William R.
,
Gehring
,
Catherine A.
,
Gilbert
,
Gregory S.
,
Gratzer
,
Georg
,
Greenberg
,
Cathryn H.
,
Guignabert
,
Arthur
,
Guo
,
Qinfeng
,
Hacket-Pain
,
Andrew J.
,
Hampe
,
Arndt
,
Han
,
Qingmin
,
Hoshizaki
,
K.
,
Ibáñez
,
Inés
,
Johnstone
,
Jill F.
,
Journé
,
Valentin
,
Kitzberger
,
Thomas A.
,
Knops
,
Johannes Michael Hubertus
,
Kunstler
,
Georges
,
Kobe
,
Richard K.
,
Lageard
,
Jonathan G.A.
,
LaMontagne
,
Jalene M.
,
Ledwoń
,
Mateusz
,
Leininger
,
Theodor D.
,
Limousin
,
Jean Marc
,
Lutz
,
James A.
,
Macias
,
Diana S.
,
Mårell
,
Anders
,
McIntire
,
Eliot J.B.
,
Moran
,
Emily V.
,
Motta
,
Renzo
,
Myers
,
Jonathan A.
,
Nagel
,
Thomas A.
,
Naoe
,
Shoji
,
Noguchi
,
Mahoko
,
Oguro
,
Michio
,
Kurokawa
,
Hiroko
,
Ourcival
,
Jean Marc
,
Parmenter
,
Robert R.
,
Pérez-Ramos
,
Ignacio M.
,
Piechnik
,
Łukasz
,
Podgórski
,
Tomasz
,
Poulsen
,
John R.
,
Qiu
,
Tong
,
Redmond
,
Miranda D.
,
Reid
,
Chantal D.
,
Rodman
,
Kyle C.
,
Šamonil
,
Pavel
,
Holik
,
Jan
,
Scher
,
C. Lane
,
van Marle
,
Harald Schmidt
,
Seget
,
Barbara
,
Shibata
,
Mitsue
,
Sharma
,
Shubhi
,
Silman
,
Miles R.
,
Steele
,
Michael A.
,
Straub
,
Jacob N.
,
Sun
,
I. Fang
,
Sutton
,
Samantha
,
Swenson
,
Jennifer J.
,
Thomas
,
Peter A.
,
Uríarte
,
María
,
Vacchiano
,
Giorgio
,
Veblen
,
Thomas Thorstein
,
Wright
,
Boyd R.
,
Wright
,
Stuart Joseph
,
Whitham
,
Thomas G.
,
Zhu
,
Kai
,
Zimmerman
,
Jess K.
,
Żywiec
,
Magdalena
,
Clark
,
James S.
Mostra abstract
Aim: Our understanding of the mechanisms that maintain forest diversity under changing climate can benefit from knowledge about traits that are closely linked to fitness. We tested whether the link between traits and seed number and seed size is consistent with two hypotheses, termed the leaf economics spectrum and the plant size syndrome, or whether reproduction represents an independent dimension related to a seed size–seed number trade-off. Location: Most of the data come from Europe, North and Central America and East Asia. A minority of the data come from South America, Africa and Australia. Time period: 1960–2022. Major taxa studied: Trees. Methods: We gathered 12 million observations of the number of seeds produced in 784 tree species. We estimated the number of seeds produced by individual trees and scaled it up to the species level. Next, we used principal components analysis and generalized joint attribute modelling (GJAM) to map seed number and size on the tree traits spectrum. Results: Incorporating seed size and number into trait analysis while controlling for environment and phylogeny with GJAM exposes relationships in trees that might otherwise remain hidden. Production of the large total biomass of seeds [product of seed number and seed size; hereafter, species seed productivity (SSP)] is associated with high leaf area, low foliar nitrogen, low specific leaf area (SLA) and dense wood. Production of high seed numbers is associated with small seeds produced by nutrient-demanding species with softwood, small leaves and high SLA. Trait covariation is consistent with opposing strategies: one fast-growing, early successional, with high dispersal, and the other slow-growing, stress-tolerant, that recruit in shaded conditions. Main conclusions: Earth system models currently assume that reproductive allocation is indifferent among plant functional types. Easily measurable seed size is a strong predictor of the seed number and species seed productivity. The connection of SSP with the functional traits can form the first basis of improved fecundity prediction across global forests. © 2023 John Wiley & Sons Ltd.
MASTREE+: Time-series of plant reproductive effort from six continents
Hacket-Pain
,
Andrew J.
,
Foest
,
Jessie J.
,
Pearse
,
Ian S.
,
LaMontagne
,
Jalene M.
,
Koenig
,
Walter D.
,
Vacchiano
,
Giorgio
,
Bogdziewicz
,
Michał
,
Caignard
,
Thomas
,
Celebias
,
Paulina
,
van Dormolen
,
Joep
,
Fernández-Martínez
,
Marcos
,
Moris
,
Jose V.
,
Palaghianu
,
Ciprian
,
Pesendorfer
,
Mario B.
,
Satake
,
Akiko
,
Schermer
,
Éliane
,
Tanentzap
,
Andrew J.
,
Thomas
,
Peter A.
,
Vecchio
,
Davide
,
Wion
,
Andreas P.
,
Wohlgemuth
,
Thomas
,
Xue
,
Tingting
,
Abernethy
,
Katharine A.
,
Aravena Acuña
,
Marie Claire
,
Barrera
,
Marcelo Daniel
,
Barton
,
Jessica H.
,
Boutin
,
Stan A.
,
Bush
,
Emma R.
,
Donoso Calderón
,
Sergio R.
,
Carevic
,
Felipe S.
,
Castilho
,
Carolina V.
,
Manuel Cellini
,
Juan
,
Chapman
,
Colin A.
,
Chapman
,
H. M.
,
Chianucci
,
Francesco
,
Costa
,
Patricia Da
,
Croisé
,
Luc
,
Cutini
,
Andrea
,
Dantzer
,
Ben J.
,
DeRose
,
Robert Justin
,
Dikangadissi
,
Jean Thoussaint
,
Dimoto
,
Edmond
,
da Fonseca
,
Fernanda Lopes
,
Gallo
,
Leonardo Ariel
,
Gratzer
,
Georg
,
Greene
,
David F.
,
Hadad
,
Martín Ariel
,
Huertas Herrera
,
Alejandro
,
Jeffery
,
Kathryn J.
,
Johnstone
,
Jill F.
,
Kalbitzer
,
Urs
,
Kantorowicz
,
Władysław
,
Klimas
,
Christie Ann
,
Lageard
,
Jonathan G.A.
,
Lane
,
Jeffrey E.
,
Lapin
,
Katharina
,
Ledwoń
,
Mateusz
,
Leeper
,
Abigail C.
,
Lencinas
,
María Vanessa
,
Lira-Guedes
,
Ana Cláudia
,
Lordon
,
Michael C.
,
Marchelli
,
Paula
,
Marino
,
Shealyn
,
Schmidt van Marle
,
Harald
,
McAdam
,
Andrew G.
,
Momont
,
Ludovic R.W.
,
Nicolas
,
Manuel
,
de Oliveira Wadt
,
Lúcia Helena
,
Panahi
,
Parisa
,
Martínez Pastur
,
Guillermo J.
,
Patterson
,
Thomas W.
,
Luis Peri
,
Pablo
,
Piechnik
,
Łukasz
,
Pourhashemi
,
Mehdi
,
Espinoza Quezada
,
Claudia
,
Roig
,
Fidel Alejandro
,
Peña-Rojas
,
Karen A.
,
Rosas
,
Yamina Micaela
,
Schueler
,
Silvio
,
Seget
,
Barbara
,
Soler
,
Rosina M.
,
Steele
,
Michael A.
,
Toro Manríquez
,
Mónica Del Rosario
,
Tutin
,
Caroline E.G.
,
Ukizintambara
,
Tharcisse
,
White
,
Lee J.T.
,
Yadok
,
Biplang Godwill
,
Willis
,
John L.
,
Zolles
,
Anita
,
Żywiec
,
Magdalena
,
Ascoli
,
Davide
Mostra abstract
Significant gaps remain in understanding the response of plant reproduction to environmental change. This is partly because measuring reproduction in long-lived plants requires direct observation over many years and such datasets have rarely been made publicly available. Here we introduce MASTREE+, a data set that collates reproductive time-series data from across the globe and makes these data freely available to the community. MASTREE+ includes 73,828 georeferenced observations of annual reproduction (e.g. seed and fruit counts) in perennial plant populations worldwide. These observations consist of 5971 population-level time-series from 974 species in 66 countries. The mean and median time-series length is 12.4 and 10 years respectively, and the data set includes 1122 series that extend over at least two decades (≥20 years of observations). For a subset of well-studied species, MASTREE+ includes extensive replication of time-series across geographical and climatic gradients. Here we describe the open-access data set, available as a.csv file, and we introduce an associated web-based app for data exploration. MASTREE+ will provide the basis for improved understanding of the response of long-lived plant reproduction to environmental change. Additionally, MASTREE+ will enable investigation of the ecology and evolution of reproductive strategies in perennial plants, and the role of plant reproduction as a driver of ecosystem dynamics. © 2022 The Authors. Global Change Biology published by John Wiley & Sons Ltd.
IN SITU (TREE TALKER) AND REMOTELY-SENSED MULTISPECTRAL IMAGERY (SENTINEL-2) INTEGRATION FOR CONTINUOUS FOREST MONITORING: THE FIRST STEP TOWARD WALL-TO-WALL MAPPING OF TREE FUNCTIONAL TRAITS
Francini
,
Saverio
,
Zorzi
,
Ilaria
,
Giannetti
,
Francesca
,
Chianucci
,
Francesco
,
Travaglini
,
Davide
,
Chirici
,
Gherardo
,
Cocozza
,
C.
Mostra abstract
Monitoring tree functional traits is essential for understanding forest ecosystems' capability to respond to climate change. Advancements in continuous proximal sensors and IoT technologies hold great potential for monitoring forest and tree ecosystem processes at the finest spatial and temporal scale. An example is the TreeTalker (TT) technology, which features sensors for measurements of the radial growth, sap flow, multispectral light transmission, air temperature, and humidity at tree level with an hourly frequency rate. Such information can be linked with remote sensing data acquired by the Sentinel-2 (S2) mission, allowing for scaling results over more spatially extensive areas. Firstly, we compared six TT with four S2 spectral bands with similar wavelengths. No correlation was found for blue, green and red channels (R<sup>2</sup> ranged between 0.04 and 0.09) while higher values were found for the near-infrared channel (R<sup>2</sup> = 0.9). To obtain an accurate prediction of TTs bands, also for those TTs bands which wavelengths are not similar to that of S2 bands, we implemented a Sentinel-2 to TreeTalker model (S2TT) by using an 8-layers fully connected deep neural network. The model was tested by using 23 Sentinel-2 imagery and data acquired by 40 TreeTalkers located in two different sites in Tuscany (a beech and a silver fir forest stand) in the period between 2020-07-15 and 2020-11-15. The R<sup>2</sup> ranged between 0.61 (B7, blue) and 0.96 (B6, near-infrared band). The S2TT model represents the first link between remote sensing and TreeTalkers, which might allow predicting tree functional traits using Sentinel-2 imagery. © 2021, Italian Society of Remote Sensing. All rights reserved.