Does environment filtering or seed limitation determine post-fire forest recovery patterns in boreal larch forests?

Wen H. Cai, Zhihua Liu, Yuan Z. Yang, Jian Yang

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

Wildfire is a primary natural disturbance in boreal forests, and post-fire vegetation recovery rate influences carbon, water, and energy exchange between the land and atmosphere in the region. Seed availability and environmental filtering are two important determinants in regulating post-fire vegetation recovery in boreal forests. Quantifying how these determinants change over time is helpful for understanding post-fire forest successional trajectory. Time series of remote sensing data offer considerable potential in monitoring the trajectory of post-fire vegetation recovery dynamics beyond current field surveys about structural attributes, which generally lack a temporal perspective across large burned areas. We used a time series of the normalized difference vegetation index (NDVI) and normalized difference shortwave infrared reflectance index (NDSWIR) derived from Landsat images to investigate post-fire dynamics in a Chinese boreal larch forest. An adjacent, unburned patch of a similar forest type and environmental conditions was selected as a control to separate interannual fluctuation in NDVI and NDSWIR caused by climate from changes due to wildfire. Temporal anomalies in NDVI and NDSWIR showed that more than 10 years were needed for ecosystems to recover to a pre-fire state. The boosted regression tree analysis showed that fire severity exerted a persistent, dominant influence on vegetation recovery during the early post-fire successional stage and explained more than 60% of variation in vegetation recovery, whereas distance to the nearest unburned area and environmental conditions exhibited a relatively small influence. This result indicated that the legacy effects of fire disturbance, which control seed availability for tree recruitment, would persist for decades. The influence of environmental filtering could increase with succession and could mitigate the initial heterogeneity in recovery caused by wildfire.

Original languageEnglish
Article number1318
JournalFrontiers in Plant Science
Volume9
DOIs
StatePublished - Sep 11 2018

Bibliographical note

Publisher Copyright:
© 2018 Cai, Liu, Yang and Yang.

Funding

This research was funded by the National Key Research and Development Program of China (2017YFA0604403), CAS Pioneer Hundred Talents Program, and National Natural Science Foundation of China (Project Nos. 31470517 and 31500387).

FundersFunder number
National Natural Science Foundation of China (NSFC)31500387, 31470517
Chinese Academy of Sciences
National Basic Research Program of China (973 Program)2017YFA0604403

    Keywords

    • Boosted regression tree analysis
    • Climate change
    • Environmental filtering
    • Fire disturbance
    • Forest recovery
    • Seed availability

    ASJC Scopus subject areas

    • Plant Science

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