TY - JOUR
T1 - A Framework to Assess Biogeochemical Response to Ecosystem Disturbance Using Nutrient Partitioning Ratios
AU - Kranabetter, J. Marty
AU - McLauchlan, Kendra K.
AU - Enders, Sara K.
AU - Fraterrigo, Jennifer M.
AU - Higuera, Philip E.
AU - Morris, Jesse L.
AU - Rastetter, Edward B.
AU - Barnes, Rebecca
AU - Buma, Brian
AU - Gavin, Daniel G.
AU - Gerhart, Laci M.
AU - Gillson, Lindsey
AU - Hietz, Peter
AU - Mack, Michelle C.
AU - McNeil, Brenden
AU - Perakis, Steven
N1 - Publisher Copyright:
© 2015, Her Majesty the Queen in Right of Canada.
PY - 2016/4/1
Y1 - 2016/4/1
N2 - Disturbances affect almost all terrestrial ecosystems, but it has been difficult to identify general principles regarding these influences. To improve our understanding of the long-term consequences of disturbance on terrestrial ecosystems, we present a conceptual framework that analyzes disturbances by their biogeochemical impacts. We posit that the ratio of soil and plant nutrient stocks in mature ecosystems represents a characteristic site property. Focusing on nitrogen (N), we hypothesize that this partitioning ratio (soil N: plant N) will undergo a predictable trajectory after disturbance. We investigate the nature of this partitioning ratio with three approaches: (1) nutrient stock data from forested ecosystems in North America, (2) a process-based ecosystem model, and (3) conceptual shifts in site nutrient availability with altered disturbance frequency. Partitioning ratios could be applied to a variety of ecosystems and successional states, allowing for improved temporal scaling of disturbance events. The generally short-term empirical evidence for recovery trajectories of nutrient stocks and partitioning ratios suggests two areas for future research. First, we need to recognize and quantify how disturbance effects can be accreting or depleting, depending on whether their net effect is to increase or decrease ecosystem nutrient stocks. Second, we need to test how altered disturbance frequencies from the present state may be constructive or destructive in their effects on biogeochemical cycling and nutrient availability. Long-term studies, with repeated sampling of soils and vegetation, will be essential in further developing this framework of biogeochemical response to disturbance.
AB - Disturbances affect almost all terrestrial ecosystems, but it has been difficult to identify general principles regarding these influences. To improve our understanding of the long-term consequences of disturbance on terrestrial ecosystems, we present a conceptual framework that analyzes disturbances by their biogeochemical impacts. We posit that the ratio of soil and plant nutrient stocks in mature ecosystems represents a characteristic site property. Focusing on nitrogen (N), we hypothesize that this partitioning ratio (soil N: plant N) will undergo a predictable trajectory after disturbance. We investigate the nature of this partitioning ratio with three approaches: (1) nutrient stock data from forested ecosystems in North America, (2) a process-based ecosystem model, and (3) conceptual shifts in site nutrient availability with altered disturbance frequency. Partitioning ratios could be applied to a variety of ecosystems and successional states, allowing for improved temporal scaling of disturbance events. The generally short-term empirical evidence for recovery trajectories of nutrient stocks and partitioning ratios suggests two areas for future research. First, we need to recognize and quantify how disturbance effects can be accreting or depleting, depending on whether their net effect is to increase or decrease ecosystem nutrient stocks. Second, we need to test how altered disturbance frequencies from the present state may be constructive or destructive in their effects on biogeochemical cycling and nutrient availability. Long-term studies, with repeated sampling of soils and vegetation, will be essential in further developing this framework of biogeochemical response to disturbance.
KW - Disturbance
KW - Fire regime
KW - Multiple element limitation (MEL) model
KW - Nitrogen stocks
KW - Nutrient ratio
KW - Succession
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U2 - 10.1007/s10021-015-9934-1
DO - 10.1007/s10021-015-9934-1
M3 - Article
AN - SCOPUS:84947440219
SN - 1432-9840
VL - 19
SP - 387
EP - 395
JO - Ecosystems
JF - Ecosystems
IS - 3
ER -