R. Justin DeRose

Dr. R. Justin DeRose

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Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 May 2021 in Ecosystems
Verified
Journal Article
Open access
PDF file
Daniele CastagneriDaniele Castagneri
Daniele Castagneri
GVGiorgio Vacchiano
Giorgio Vacchiano
AHAndrew Hacket-Pain
Andrew Hacket-Pain
RDR. Justin DeRose
R. Justin DeRose
TKTamir Klein
Tamir Klein
ABAlessandra Bottero
Alessandra Bottero
Drought will increasingly threaten forest ecosystems worldwide. Understanding how competition influences tree growth response to drought is essential for forest management aiming at climate change adaptation. However, published results from individual case studies are heterogeneous and sometimes contradictory. We reviewed 166 cases from the peer-reviewed literature to assess the influence of stand-level competition on tree growth response to drought. We monitored five indicators of tree growth response: mean sensitivity (inter-annual tree ring width variability); association between inter-annual growth variability and water availability; resistance; recovery; and resilience to drought. Vote counting did not indicate a consistent effect of competition on mean sensitivity. Conversely, higher competition for resources strengthened the association between water availability and inter-annual growth rates. Meta-analysis showed that higher competition reduced resistance (p < 0.001) and improved recovery (p < 0.05), but did not consistently affect resilience. Species, site and stand characteristics, and drought intensity were insignificant or poor predictors for the large variability among the investigated cases. Our review and meta-analysis show that competition does not affect the response of tree growth to drought in a unidirectional and universal way. Although density reduction (thinning) can alleviate growth declines during drought, the effects on growth after stress are uncertain. The large variability among investigated cases suggests that local-scale processes play a crucial role in determining such responses and should be explicitly evaluated and integrated into specific strategies for adaptation of forests to climate change.

5 March 2022 in Global Change Biology
Verified
Journal Article
Open access
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AHAndrew Hacket‐Pain
Andrew Hacket‐Pain
JFJessie J. Foest
Jessie J. Foest
IPIan S. Pearse
Ian S. Pearse
JLJalene M. LaMontagne
Jalene M. LaMontagne
WKWalter D. Koenig
Walter D. Koenig
DADavide Ascoli
Davide Ascoli
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.

13 January 2022 in Global Change Biology
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Journal Article
Closed access
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KHKelly A. Heilman
Kelly A. Heilman
Michael DietzeMichael Dietze
Michael Dietze
AAAlexis A. Arizpe
Alexis A. Arizpe
JAJacob Aragon
Jacob Aragon
AGAndrew Gray
Andrew Gray
MEMargaret E. K. Evans
Margaret E. K. Evans

8 December 2021 in BioScience
Verified
Journal Article
Open access
PDF file
MEMargaret E K Evans
Margaret E K Evans
RDR. Justin DeRose
R. Justin DeRose
SKStefan Klesse
Stefan Klesse
MGMartin P Girardin
Martin P Girardin
KHKelly A Heilman
Kelly A Heilman
SGSergio Armando Villela Gaytán
Sergio Armando Villela Gaytán
Tree-ring time series provide long-term, annually resolved information on the growth of trees. When sampled in a systematic context, tree-ring data can be scaled to estimate the forest carbon capture and storage of landscapes, biomes, and—ultimately—the globe. A systematic effort to sample tree rings in national forest inventories would yield unprecedented temporal and spatial resolution of forest carbon dynamics and help resolve key scientific uncertainties, which we highlight in terms of evidence for forest greening (enhanced growth) versus browning (reduced growth, increased mortality). We describe jump-starting a tree-ring collection across the continent of North America, given the commitments of Canada, the United States, and Mexico to visit forest inventory plots, along with existing legacy collections. Failing to do so would be a missed opportunity to help chart an evidence-based path toward meeting national commitments to reduce net greenhouse gas emissions, urgently needed for climate stabilization and repair.

1 April 2010 in Journal of Vegetation Science
Verified
Journal Article
Closed access
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RDR. Justin DeRose
R. Justin DeRose
JLJames Long
James Long

27 October 2021 in Ecology Letters
Verified
Journal Article
Closed access
PDF file
ESEmily Schultz
Emily Schultz
LHLisa Hülsmann
Lisa Hülsmann
MPMichiel Pillet
Michiel Pillet
FHFlorian Hartig
Florian Hartig
DBDavid D Breshears
David D Breshears
MEMargaret E K Evans
Margaret E K Evans