Abstract
It has been suggested that hillslope topography can produce hydrologic refugia, sites where ecosystem productivity is relatively insensitive to climate variation. However, the ecological impacts and spatial distribution of these sites are poorly resolved across gradients in climate. We quantified the response of ecosystem net primary productivity to changes in the annual climatic water balance for 30 years using pixel-specific linear regression (30-m resolution) across the western United States. The standardized slopes of these models represent ecosystem climate sensitivity and provide a means to identify drought-resistant ecosystems. Productive and resistant ecosystems were most frequent in convergent hillslope positions, especially in semiarid climates. Ecosystems in divergent positions were moderately resistant to climate variability, but less productive relative to convergent positions. This topographic effect was significantly dampened in hygric and xeric climates. In aggregate, spatial patterns of ecosystem sensitivity can be implemented for regional planning to maximize conservation in landscapes more resistant to perturbations.
| Original language | English |
|---|---|
| Pages (from-to) | 14508-14520 |
| Number of pages | 13 |
| Journal | Geophysical Research Letters |
| Volume | 46 |
| Issue number | 24 |
| DOIs | |
| State | Published - Dec 28 2019 |
Funding
This work was made possible by a USDA NIFA McIntire Stennis award 233327 to Jencso, NSF grants DEB‐1457749 and DEB‐1457720 to Jencso and Hu, and a NASA applied science program Wildland Fire award (agreement NNH11ZDA001N‐FIRES) to Holden. The authors also thank NSF EPSCoR Track‐1 EPS‐1101342 (INSTEP 3) for support. Data for this analysis are available at https://doi.org/10.5281/zenodo.3460768 . This work was made possible by a USDA NIFA McIntire Stennis award 233327 to Jencso, NSF grants DEB-1457749 and DEB-1457720 to Jencso and Hu, and a NASA applied science program Wildland Fire award (agreement NNH11ZDA001N-FIRES) to Holden. The authors also thank NSF EPSCoR Track-1 EPS-1101342 (INSTEP 3) for support. Data for this analysis are available at https://doi.org/10.5281/zenodo.3460768.
| Funders | Funder number |
|---|---|
| 233327 | |
| DEB‐1457720, DEB‐1457749, 1633831 | |
| National Aeronautics and Space Administration | EPS-1101342, NNH11ZDA001N‐FIRES |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action
Keywords
- climate
- ecosystem sensitivity
- ecosystems
- hydrology
- net primary productivity
- topography
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Dataset for the article: The topographic signature of ecosystem climate sensitivities in the western U.S.
Hoylman, Z. (Creator), Jencso, K. (Creator), Hu, J. (Creator), Holden, Z. (Creator), Allred, B. (Creator), Dobrowski, S. (Creator), Robinson, N. (Creator), Martin, J. (Creator), Affleck, D. (Creator) & Seielstad, C. (Creator), University of Montana, 2019
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