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Belowground consequences of vegetation change and their treatment in models

Jackson, R B ; Schenk, H J ; Jobbagy, E G ; Canadell, J ; Colello, G D ; Dickinson, R E ; Dunne, T ; Field, C B ; Friedlingstein, P and Heimann, M , et al. (2000) In Ecological Applications 10(2). p.470-483
Abstract
The extent and consequences of global land-cover and land-use change are increasingly apparent. One consequence not so apparent is the altered structure of plants belowground. This paper examines such belowground changes, emphasizing the interaction of altered root distributions with other factors and their treatment in models. Shifts of woody and herbaceous vegetation with deforestation, afforestation, and woody plant encroachment typically alter the depth and distribution of plant rests, influencing soil nutrients, the water balance, and net primary productivity (NPP). For example, our analysis of global soil data sets shows that the major plant nutrients C, N, P, and K are more shallowly distributed than are Ca, Mg, and Na, but patterns... (More)
The extent and consequences of global land-cover and land-use change are increasingly apparent. One consequence not so apparent is the altered structure of plants belowground. This paper examines such belowground changes, emphasizing the interaction of altered root distributions with other factors and their treatment in models. Shifts of woody and herbaceous vegetation with deforestation, afforestation, and woody plant encroachment typically alter the depth and distribution of plant rests, influencing soil nutrients, the water balance, and net primary productivity (NPP). For example, our analysis of global soil data sets shows that the major plant nutrients C, N, P, and K are more shallowly distributed than are Ca, Mg, and Na, but patterns for each element vary with the dominant vegetation type. After controlling for climate, soil C and N are distributed more deeply in arid shrublands than in arid grasslands, and subhumid forests have shallower nutrient distributions than do subhumid grasslands. Consequently, changes in vegetation may influence the distribution of soil carbon and nutrients over time (perhaps decades to centuries). Shifts in the water balance are typically much more rapid. Catchment studies indicate that the water yield decreases 25-40 mm for each 10% increase in tree cover, and increases in transpiration of water taken up by deep roots may account for as much as 50% of observed responses. Because models are increasingly important for predicting the consequences of vegetation change, we discuss the treatment of belowground processes and how different treatments affect model outputs. Whether models are parameterized by biome or plant life form (or neither), use single or multiple soil layers, or include N and water limitation will all affect predicted outcomes. Acknowledging and understanding such differences should help constrain predictions of vegetation change. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Ecological Applications
volume
10
issue
2
pages
470 - 483
publisher
Ecological Society of America
external identifiers
  • scopus:0033850105
ISSN
1051-0761
DOI
10.1890/1051-0761(2000)010[0470:BCOVCA]2.0.CO;2
language
English
LU publication?
yes
id
c234573f-2c53-449c-8b73-4e9617d7e284 (old id 152882)
date added to LUP
2016-04-01 15:54:36
date last changed
2022-04-22 18:16:14
@article{c234573f-2c53-449c-8b73-4e9617d7e284,
  abstract     = {{The extent and consequences of global land-cover and land-use change are increasingly apparent. One consequence not so apparent is the altered structure of plants belowground. This paper examines such belowground changes, emphasizing the interaction of altered root distributions with other factors and their treatment in models. Shifts of woody and herbaceous vegetation with deforestation, afforestation, and woody plant encroachment typically alter the depth and distribution of plant rests, influencing soil nutrients, the water balance, and net primary productivity (NPP). For example, our analysis of global soil data sets shows that the major plant nutrients C, N, P, and K are more shallowly distributed than are Ca, Mg, and Na, but patterns for each element vary with the dominant vegetation type. After controlling for climate, soil C and N are distributed more deeply in arid shrublands than in arid grasslands, and subhumid forests have shallower nutrient distributions than do subhumid grasslands. Consequently, changes in vegetation may influence the distribution of soil carbon and nutrients over time (perhaps decades to centuries). Shifts in the water balance are typically much more rapid. Catchment studies indicate that the water yield decreases 25-40 mm for each 10% increase in tree cover, and increases in transpiration of water taken up by deep roots may account for as much as 50% of observed responses. Because models are increasingly important for predicting the consequences of vegetation change, we discuss the treatment of belowground processes and how different treatments affect model outputs. Whether models are parameterized by biome or plant life form (or neither), use single or multiple soil layers, or include N and water limitation will all affect predicted outcomes. Acknowledging and understanding such differences should help constrain predictions of vegetation change.}},
  author       = {{Jackson, R B and Schenk, H J and Jobbagy, E G and Canadell, J and Colello, G D and Dickinson, R E and Dunne, T and Field, C B and Friedlingstein, P and Heimann, M and Hibbard, K and Kicklighter, D W and Kleidon, A and Neilson, R P and Parton, W J and Sala, O E and Sykes, Martin}},
  issn         = {{1051-0761}},
  language     = {{eng}},
  number       = {{2}},
  pages        = {{470--483}},
  publisher    = {{Ecological Society of America}},
  series       = {{Ecological Applications}},
  title        = {{Belowground consequences of vegetation change and their treatment in models}},
  url          = {{https://lup.lub.lu.se/search/files/4509764/625297.pdf}},
  doi          = {{10.1890/1051-0761(2000)010[0470:BCOVCA]2.0.CO;2}},
  volume       = {{10}},
  year         = {{2000}},
}