Abstract
Forests are subject to a range of management practices but it is unclear which produce the most rapid rates of regrowth across heterogeneous moisture gradients produced by regional climate and complex terrain. We analyzed recovery rates of satellite derived net primary productivity (NPP) over 27 years for 26 069 individual silvicultural treatments (stands) across the western U.S. at a 30 m resolution. Rates of NPP recovery and forest regrowth were on average 116% higher in wet landscapes with lower annual climatic water deficits (8.59 ± 5.07 gC m−2 yr−2, median ± inter-quartile range) when compared to dry landscapes (3.97 ± 2.67 gC m−2 yr−2). This extensive spatial analysis indicates that hydroclimate is a dominant driver of forest regrowth and that responses can be highly nonlinear depending upon local climate conditions. Differences in silvicultural treatment also strongly controlled rates of regrowth within hydroclimatic settings; microclimates produced by shelterwood treatments maximized regrowth in dry landscapes whereas regrowth following clearcutting was among the fastest in wet landscapes due to enhanced energy availability. Conversely, commercial thinning regrowth rates were insensitive to hydroclimate and relatively consistent across the western U.S. Planting had a differential effect on forest structure and rates of regrowth across hydroclimate with negative effects in wet environments and positive effects in dry environments. In aggregate, this study provides a novel remote sensing approach for characterizing forest regrowth dynamics across climatic gradients and the common treatment options employed.
| Original language | English |
|---|---|
| Article number | 064057 |
| Journal | Environmental Research Letters |
| Volume | 16 |
| Issue number | 6 |
| DOIs | |
| State | Published - Jun 2021 |
Funding
This work was supported by the USDA National Institute of Food and Agriculture, McIntire-Stennis project 1021605 and NSF Grant DEB-1457749 awarded to Jencso. The authors also thank NSF EPSCoR Track-1 EPS-1101342 (INSTEP 3) for support. The authors would also like to thank Dr Justin Crotteau for comments which improved this manuscript.
| Funder number |
|---|
| DEB-1457749, EPS-1101342 |
| 1021605 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 13 Climate Action
Keywords
- Climate
- Climatic water balance
- Forest
- Harvest
- Net primary productivity
- Regeneration
- Regrowth
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