Simulating environmentally-sensitive tree recruitment in vegetation demographic models

Hanbury‐Brown, Adam R.; Powell, Thomas L.; Muller‐Landau, Helene C.; Wright, S. Joseph; Kueppers, Lara M.

doi:10.1111/nph.18059

Title: Simulating environmentally-sensitive tree recruitment in vegetation demographic models

Journal Article · Fri Feb 25 00:00:00 EST 2022 · New Phytologist

DOI:https://doi.org/10.1111/nph.18059· OSTI ID:1855823

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Univ. of California, Berkeley, CA (United States)
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Univ. of the South, Sewanee, TN (United States)
Smithsonian Tropical Research Inst., Balboa (Panama, Republic of)
Univ. of California, Berkeley, CA (United States); Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Vegetation demographic models (VDMs) endeavor to predict how global forests will respond to climate change. This requires simulating which trees, if any, are able to recruit under changing environmental conditions. We present a new recruitment scheme for VDMs in which functional-type-specific recruitment rates are sensitive to light, soil moisture and the productivity of reproductive trees. We evaluate the scheme by predicting tree recruitment for four tropical tree functional types under varying meteorology and canopy structure at Barro Colorado Island, Panama. We compare predictions to those of a current VDM, quantitative observations and ecological expectations. We find that the scheme improves the magnitude and rank order of recruitment rates among functional types and captures recruitment limitations in response to variable understory light, soil moisture and precipitation regimes. Furthermore, our results indicate that adopting this framework will improve VDM capacity to predict functional-type-specific tree recruitment in response to climate change, thereby improving predictions of future forest distribution, composition and function.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Biological and Environmental Research (BER)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1855823

Alternate ID(s):: OSTI ID: 1961819

Journal Information:: New Phytologist, Vol. 235, Issue 1; ISSN 0028-646X

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

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59 BASIC BIOLOGICAL SCIENCES
forest regeneration
tree recruitment
vegetation demographic models
Earth system models
vegetation dynamics

Title: Simulating environmentally-sensitive tree recruitment in vegetation demographic models

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