globalchange  > 气候变化事实与影响
DOI: doi:10.1038/nclimate2198
论文题名:
Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds
作者: Lindsay A. Bearup
刊名: Nature Climate Change
ISSN: 1758-1346X
EISSN: 1758-7466
出版年: 2014-04-20
卷: Volume:4, 页码:Pages:481;486 (2014)
语种: 英语
英文关键词: Hydrology
英文摘要:

The recent climate-exacerbated mountain pine beetle infestation in the Rocky Mountains of North America has resulted in tree death that is unprecedented in recorded history. The spatial and temporal heterogeneity inherent in insect infestation creates a complex and often unpredictable watershed response, influencing the primary storage and flow components of the hydrologic cycle. Despite the increased vulnerability of forested ecosystems under changing climate1, watershed-scale implications of interception, ground evaporation, and transpiration changes remain relatively unknown, with conflicting reports of streamflow perturbations across regions. Here, contributions to streamflow are analysed through time and space to investigate the potential for increased groundwater inputs resulting from hydrologic change after infestation. Results demonstrate that fractional late-summer groundwater contributions from impacted watersheds are 30 ± 15% greater after infestation and when compared with a neighbouring watershed that experienced earlier and less-severe attack, albeit uncertainty propagations through time and space are considerable. Water budget analysis confirms that transpiration loss resulting from beetle kill can account for the relative increase in groundwater contributions to streams, often considered the sustainable flow fraction and critical to mountain water supplies and ecosystems.

In Colorado alone, the mountain pine beetle (MPB) has impacted over 1.3 million hectares of pine forest2. Although evapotranspiration is generally assumed to decrease in beetle-affected watersheds, tree death also causes competing effects on evapotranspiration. By the end of the first growing season following infestation, a killed pine no longer transpires3, causing the needles to turn red (identified as red-phase) and begin to drop. Within three to four years after infestation, most trees have lost all remaining needles (grey-phase; ref. 4). The resultant loss of canopy cover increases fluxes of water and energy to the ground surface, causing changes in soil moisture dynamics and snowmelt processes5, 6 that may offset the effects of reduced evapotranspiration. Increases in soil moisture6, 7 are dependent on the net increase of water inputs due to losses of transpiration and canopy evaporation balanced against the net decrease in moisture from higher solar exposure, surface temperature and ground evaporation6. The interactions among these processes are poorly understood across scales, highlighting the need for better quantification of net transpiration changes from MPB infestation at the watershed scale.

Transpiration is commonly quantified using sap flux3, eddy covariance8 or energy balance formulations9. Each of these methods presents limitations. For sap flux and energy-based approaches, upscaling stand-scale estimates requires spatially comprehensive measurements to capture the heterogeneity of vegetation and local energy balances. Eddy covariance methods provide larger-scale estimations of evapotranspiration but are less reliable in mountain environments10 and do not separately assess evaporation and transpiration. The exceptional extent of tree death from the MPB provides a unique opportunity to evaluate the contribution of tree processes to the hydrologic cycle at watershed scales, where water budget perturbations are complex and often combine non-uniquely. Here, we quantify hydrologic changes in MPB-impacted watersheds by identifying changes in streamflow contributions through a chemical and isotopic hydrograph separation analysis.

The importance of transpiration loss is relative to the magnitude of the other components of the hydrologic cycle, for example, precipitation, snowmelt, evaporation and soil moisture11. In the Rocky Mountains of North America, the effect of transpiration at the watershed scale may be most apparent during late summer, when near-surface antecedent soil moisture and snow inputs approach their annual minima, and the relative importance of subsurface contributions is greatest12, 13. During this low-flow period, loss of transpiration may lead to measurable increases in recharge and groundwater contributions to streamflow, whereas loss of interception and increased ground evaporation would influence both surface and subsurface contributions to streamflow, as conceptualized in Fig. 1. The distribution of late-summer flows is not commonly studied, but may have important implications for water supply, water rights, impairment of riverine ecosystems, and water quality concerns, such as formation of disinfection by-products in water from MPB-impacted watersheds14.

Figure 1: Conceptual model of water cycle changes with tree death induced by mountain pine beetles.
Conceptual model of water cycle changes with tree death induced by mountain pine beetles.

Under normal circumstances, green trees use shallow groundwater in late summer for transpiration. Red- and grey-phase trees cease transpiring, leading to higher water-tables and greater water availability for groundwater flow to streams. Dying trees begin to drop their needles, ultimately leading to a loss of interception and shading. The loss of canopy cover reduces canopy evaporation but also increases evaporation from the forest floor. Unlike changes in transpiration, interception and shading losses impact all components of the water budget at the forest floor, including potential runoff and recharge.

MPB-impacted area was quantified from US Forest Service aerial survey data2 and includes all species killed by the MPB (that is, lodgepole pine, ponderosa pine and limber pine). Total area affected was determined by summing the annually impacted areas through 2012 and omitting overlapping area. We were not able to evaluate the distribution of sizes, ages and species of pines and other forest vegetation in the two watersheds. Precipitation, snow, groundwater and stream water samples were collected during the late summer of 2012 throughout RMNP (Fig. 2). Precipitation isotope samples were collected in polycarbonate rain gauges, using mineral oil to prevent evaporation. Sampling occurred weekly to biweekly from July to October, depending on rain events. Precipitation chemistry was available through the National Atmospheric Deposition Program and National Trends Network using weekly averaged data at the Beaver Meadows site. Snow isotopic compositions were obtained from a snow pit sampled near peak snow accumulation in early April 2012. The site was selected to be outside the drip line of surrounding trees, and protected from radiation and wind exposure. Samples were taken every 10 cm using a snow density cutter and the average snow pack isotopic composition was used for subsequent analysis. Bulk snow chemistry was provided at the site through the US Geological Survey (USGS) Rocky Mountain Regional Snowpack Chemistry Monitoring Study (available at http://co.water.usgs.gov/projects/RM_snowpack/html/data.html). Shallow (~1 m deep) groundwater wells from a wetland and riparian monitoring study that maintained flow through the season were selected to characterize the shallow groundwater contribution to adjacent streams. Samples were collected approximately biweekly from July to the end of October. Isotopic composition of the shallow groundwater near North Inlet was compared to a nearby water well and found to be indistinguishable, suggesting good agreement with the groundwater fingerprint, despite possible hyporheic zone mixing. Stream water isotope and chemistry samples were collected weekly to biweekly and were analysed using standard USGS methods29. Samples from the 2012 season were analysed for 18O at the Colorado School of Mines stable isotope laboratory. Stream and snow samples were analysed at the USGS research laboratory in Boulder, Colorado. Shallow groundwater chemistry was analysed at Colorado School of Mines in Golden, Colorado.

The three-component hydrograph separation utilizes 18O compositions and electrical conductivity and assumes streamflow contributions from rain, snow and groundwater, consistent with ref. 12. The resulting set of equations used to describe endmember contributions to streamflow is:

where Q denotes flow, EC is electrical conductivity (μS cm−1), 18O is stable isotope composition (‰), and the subscripts s, r, n and g, represent stream, rain, snow and groundwater respectively. Using the mass balance based on flow, the equations can be rearranged to calculate the fraction of stream water that each endmember contributes to streamflow. This approach also facilitates comparisons between watersheds and seasons, inherently accounting for differences in total flow. Full EMMA (ref. 15) confirmed that three endmembers are appropriate to describe the variability in the 2012 Big Thompson stream water chemistry. Hydrograph separations performed using the EMMA projections are comparable to those using 18O and EC to define the endmembers. The reduction of required chemistry parameters is useful to compare different data sets through time and space (Supplementary Section 2).

Spatially, two watersheds, as described previously, provide information on the response of stream contributions based on the timing and extent of outbreak. Temporally, the data collected in this study were compared with hydrograph separations performed using data from a previous study in the Big Thompson watershed in 1994, before infestation12. The primary methodological difference between the 1994 study and this study is the use of a constant groundwater endmember in 1994, determined on the basis of pre-melt baseflow stream concentrations. Although nearby springs agreed well with baseflow concentrations for small watersheds, the use of this method may underestimate groundwater contributions, particularly during snowmelt12. For comparison, the temporal analysis was repeated with a constant baseflow endmember for the 2012 season (Supplementary Section 4.3). National Atmospheric Deposition Program data were used to provide 1994 precipitation electrical conductivity data and to be consistent with the 2012 analyses. All other data were taken from the published study12. Uncertainty analysis was performed using estimates of uncertainty and variability for each tracer/endmember combination and propagating that error through the hydrograph separation equations using first-order Taylor expansion (Supplementary Section 4.3).

The differences in the subsurface-derived fraction from the spatial and temporal analyses were multiplied by total streamflow measured at the time of sampling to estimate an increased groundwater flow to the stream. The change in flow was distributed over the MPB-impacted area in the Big Thompson watershed to estimate a flux. The flux was used to compare the increased groundwater contributions to traditional estimates of evapotranspiration. This simplified water budget approach assumes a total tree density of 1,000 trees ha−1, consistent with previous observations near Cub Lake in the Big Thompson watershed30.

  1. Anderegg, W. R. L., Kane, J. M. & Anderegg, L. D. L. Consequences of widespread tree mortality triggered by drought and temperature stress. Nature Clim. Change 3, 3036 (2012).
  2. Colorado State Forest Service, 2012 Report on the Health of Colorado’s Forests (CSFS, (2013).
  3. Hubbard, R. M., Rhoades, C. C., Elder, K. & Negron, J. Changes in transpiration and foliage growth in lodgepole pine trees following mountain pine beetle attack and mechanical girdling. For. Ecol. Manage. 289, 312317 (2013).
  4. Wulder, M. A., Dymond, C. C., White, J. C., Leckie, D. G. & Carroll, A. L. Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities. For. Ecol. Manage. 221, 2741 (2006).
  5. Biederman, J. A. et al. Multiscale observations of snow accumulation and peak snowpack following widespread, insect-induced lodgepole pine mortality. Ecohydrology 7, 150162 (2014).
  6. Mikkelson, K. M. et al. Bark beetle infestation impacts on nutrient cycling, water quality and interdependent hydrological effects. Biogeochemistry 115, 121 (2013).
  7. Clow, D. W., Rhoades, C., Briggs, J., Caldwell, M. & Lewis Jr, W. M. Responses of soil and water chemistry to mountain pine beetle induced tree mortality in Grand County, Colorado, USA. Appl. Geochem. 26, S174S178 (2011).
  8. Brown, M. G. et al. Evapotranspiration and canopy characteristics of two lodgepole pine stands following mountain pine beetle attack. Hydrol. Process. http://dx.doi.org/10.1002/hyp.9870 (2013).
  9. Maness, H., Kushner, P. J. & Fung, I. Summertime climate response to mountain pine beetle disturbance in British Columbia. Nature Geosci. 6, 6570 (2013). URL:
http://www.nature.com/nclimate/journal/v4/n6/full/nclimate2198.html
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/5167
Appears in Collections:气候变化事实与影响
科学计划与规划
气候变化与战略

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Lindsay A. Bearup. Hydrological effects of forest transpiration loss in bark beetle-impacted watersheds[J]. Nature Climate Change,2014-04-20,Volume:4:Pages:481;486 (2014).
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