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Kyle Rodman
Kyle Rodman
Ecological Restoration Institute, Northern Arizona University
Verified email at nau.edu - Homepage
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Cited by
Cited by
Year
Wildfire-driven forest conversion in western North American landscapes
JD Coop, SA Parks, CS Stevens-Rumann, SD Crausbay, PE Higuera, ...
BioScience 70 (8), 659-673, 2020
5202020
Moisture availability limits subalpine tree establishment
RA Andrus, BJ Harvey, KC Rodman, SJ Hart, TT Veblen
Ecology 99 (3), 567-575, 2018
1652018
A changing climate is snuffing out post‐fire recovery in montane forests
KC Rodman, TT Veblen, MA Battaglia, ME Chambers, PJ Fornwalt, ...
Global Ecology and Biogeography 29 (11), 2039-2051, 2020
1162020
Reduced fire severity offers near-term buffer to climate-driven declines in conifer resilience across the western United States
KT Davis, MD Robles, KB Kemp, PE Higuera, T Chapman, KL Metlen, ...
Proceedings of the National Academy of Sciences 120 (11), e2208120120, 2023
1042023
Continent-wide tree fecundity driven by indirect climate effects
JS Clark, R Andrus, M Aubry-Kientz, Y Bergeron, M Bogdziewicz, ...
Nature Communications 12 (1), 1242, 2021
862021
Limitations to recovery following wildfire in dry forests of southern Colorado and northern New Mexico, USA
KC Rodman, TT Veblen, TB Chapman, MT Rother, AP Wion, ...
Ecological Applications 30 (1), e02001, 2020
862020
Tamm Review: Postfire landscape management in frequent-fire conifer forests of the southwestern United States
JT Stevens, CM Haffey, JD Coop, PJ Fornwalt, L Yocom, CD Allen, ...
Forest Ecology and Management 502, 119678, 2021
712021
Is there tree senescence? The fecundity evidence
T Qiu, MC Aravena, R Andrus, D Ascoli, Y Bergeron, R Berretti, ...
Proceedings of the National Academy of Sciences 118 (34), e2106130118, 2021
712021
Disturbance detection in landsat time series is influenced by tree mortality agent and severity, not by prior disturbance
KC Rodman, RA Andrus, TT Veblen, SJ Hart
Remote Sensing of Environment 254, 112244, 2021
572021
North American tree migration paced by climate in the West, lagging in the East
S Sharma, R Andrus, Y Bergeron, M Bogdziewicz, DC Bragg, D Brockway, ...
Proceedings of the National Academy of Sciences 119 (3), e2116691118, 2022
542022
Wildfire activity and land use drove 20th‐century changes in forest cover in the Colorado front range
KC Rodman, TT Veblen, S Saraceni, TB Chapman
Ecosphere 10 (2), e02594, 2019
492019
Increasing rates of subalpine tree mortality linked to warmer and drier summers
RA Andrus, RK Chai, BJ Harvey, KC Rodman, TT Veblen
Journal of Ecology 109 (5), 2203-2218, 2021
452021
A trait‐based approach to assessing resistance and resilience to wildfire in two iconic North American conifers
KC Rodman, TT Veblen, RA Andrus, NJ Enright, JB Fontaine, ...
Journal of Ecology 109 (1), 313-326, 2021
452021
Informal trail creation: hiking, trail running, and mountain bicycling in shortgrass prairie
DG Havlick, E Billmeyer, T Huber, B Vogt, K Rodman
Journal of Sustainable Tourism 24 (7), 1041-1058, 2016
422016
Effects of bark beetle outbreaks on forest landscape pattern in the Southern Rocky Mountains, USA
KC Rodman, RA Andrus, CL Butkiewicz, TB Chapman, NS Gill, BJ Harvey, ...
Remote Sensing 13 (6), 1089, 2021
382021
Limits to reproduction and seed size-number trade-offs that shape forest dominance and future recovery
T Qiu, R Andrus, MC Aravena, D Ascoli, Y Bergeron, R Berretti, ...
Nature Communications 13 (1), 2381, 2022
372022
Reference conditions are influenced by the physical template and vary by forest type: A synthesis of Pinus ponderosa-dominated sites in the southwestern United States
KC Rodman, AJS Meador, MM Moore, DW Huffman
Forest Ecology and Management 404, 316-329, 2017
332017
Reference conditions and historical fine-scale spatial dynamics in a dry mixed-conifer forest, Arizona, USA
KC Rodman, AJ Sánchez Meador, DW Huffman, KM Waring
Forest Science 62 (3), 268-280, 2016
272016
Globally, tree fecundity exceeds productivity gradients
V Journé, R Andrus, MC Aravena, D Ascoli, R Berretti, D Berveiller, ...
Ecology Letters 25 (6), 1471-1482, 2022
232022
Land cover composition, climate, and topography drive land surface phenology in a recently burned landscape: An application of machine learning in phenological modeling
J Wang, X Zhang, K Rodman
Agricultural and Forest Meteorology 304, 108432, 2021
232021
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