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Daniel C. Laughlin
Researcher at University of Wyoming
Publications - 128
Citations - 11628
Daniel C. Laughlin is an academic researcher from University of Wyoming. The author has contributed to research in topics: Trait & Understory. The author has an hindex of 42, co-authored 118 publications receiving 8390 citations. Previous affiliations of Daniel C. Laughlin include Northern Arizona University & University of Waikato.
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Journal ArticleDOI
Climatic constraints on trait-based forest assembly
Daniel C. Laughlin,Daniel C. Laughlin,Peter Z. Fulé,David W. Huffman,Joseph E. Crouse,Etienne Laliberté +5 more
TL;DR: The maximum entropy (MaxEnt) model of trait-based community assembly using forest communities occurring along a 12 � C gradient of mean annual temperature is evaluated and performs moderately well in predicting forest community structure using empirical trait–environment relationships.
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A methodology to derive global maps of leaf traits using remote sensing and climate data
Álvaro Moreno-Martínez,Gustau Camps-Valls,Jens Kattge,Nathaniel P. Robinson,Markus Reichstein,Peter M. van Bodegom,Koen Kramer,J. Hans C. Cornelissen,Peter B. Reich,Michael Bahn,Ülo Niinemets,Josep Peñuelas,Joseph M. Craine,Bruno Enrico Leone Cerabolini,Vanessa Minden,Daniel C. Laughlin,Lawren Sack,Brady W. Allred,Christopher Baraloto,Chaeho Byun,Nadejda A. Soudzilovskaia,Steven W. Running +21 more
TL;DR: In this article, a modular processing chain is introduced to derive global high-resolution maps of leaf traits, including a global map of specific leaf area, leaf dry matter content, leaf nitrogen and phosphorus content per dry mass, and leaf nitrogen/phosphorus ratio.
Journal ArticleDOI
Advances in modeling trait-based plant community assembly
TL;DR: Two new trait-based models of community assembly that predict the relative abundance of species from a regional species pool are examined that could be used to define the range of natural variability of community composition in restoration projects.
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The Net Effect of Functional Traits on Fitness.
TL;DR: A diversity of approaches to quantify intrinsic growth rates of plant populations are described, including experiments beyond range boundaries, density-dependent population models built from long-term demographic data, theoretical models, and methods that leverage widely available monitoring data.
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Pine-oak forest dynamics five years after ecological restoration treatments, Arizona, USA
TL;DR: Five years after ecological restoration treatments in a ponderosa pine-Gambel oak forest, permanent plots were re-measured to assess changes in forest structure and understory vegetation and tree growth differed significantly by species and treatment.