scispace - formally typeset
Journal ArticleDOI

A global analysis of root distributions for terrestrial biomes

Reads0
Chats0
TLDR
Rooting patterns for terrestrial biomes are analyzed and distributions for various plant functional groups are compared and the merits and possible shortcomings of the analysis are discussed in the context of root biomass and root functioning.
Abstract
Understanding and predicting ecosystem functioning (e.g., carbon and water fluxes) and the role of soils in carbon storage requires an accurate assessment of plant rooting distributions. Here, in a comprehensive literature synthesis, we analyze rooting patterns for terrestrial biomes and compare distributions for various plant functional groups. We compiled a database of 250 root studies, subdividing suitable results into 11 biomes, and fitted the depth coefficient β to the data for each biome (Gale and Grigal 1987). β is a simple numerical index of rooting distribution based on the asymptotic equation Y=1-βd, where d = depth and Y = the proportion of roots from the surface to depth d. High values of β correspond to a greater proportion of roots with depth. Tundra, boreal forest, and temperate grasslands showed the shallowest rooting profiles (β=0.913, 0.943, and 0.943, respectively), with 80-90% of roots in the top 30 cm of soil; deserts and temperate coniferous forests showed the deepest profiles (β=0.975 and 0.976, respectively) and had only 50% of their roots in the upper 30 cm. Standing root biomass varied by over an order of magnitude across biomes, from approximately 0.2 to 5 kg m-2. Tropical evergreen forests had the highest root biomass (5 kg m-2), but other forest biomes and sclerophyllous shrublands were of similar magnitude. Root biomass for croplands, deserts, tundra and grasslands was below 1.5 kg m-2. Root/shoot (R/S) ratios were highest for tundra, grasslands, and cold deserts (ranging from 4 to 7); forest ecosystems and croplands had the lowest R/S ratios (approximately 0.1 to 0.5). Comparing data across biomes for plant functional groups, grasses had 44% of their roots in the top 10 cm of soil. (β=0.952), while shrubs had only 21% in the same depth increment (β=0.978). The rooting distribution of all temperate and tropical trees was β=0.970 with 26% of roots in the top 10 cm and 60% in the top 30 cm. Overall, the globally averaged root distribution for all ecosystems was β=0.966 (r 2=0.89) with approximately 30%, 50%, and 75% of roots in the top 10 cm, 20 cm, and 40 cm, respectively. We discuss the merits and possible shortcomings of our analysis in the context of root biomass and root functioning.

read more

Citations
More filters
Book ChapterDOI

The Production, Storage, and Flow of Carbon in Amazonian Forests

TL;DR: In this article, the authors present a comprehensive synthesis of carbon cycling in three focal LBA sites (Manaus, Tapajós, and Caxiuanã), drawing on studies of productivity, litterfall, respiration, physiology, and ecosystem fluxes.
Journal ArticleDOI

Soil depth and grassland origin cooperatively shape microbial community co‐occurrence and function

TL;DR: In this article, the authors studied fungal and bacterial community composition, diversity, function, and co-occurrence networks between native and exotic grasslands at soil depths up to 1 m. They found that fungal communities were more connected in native plant communities than exotic, especially below 10 cm.
Journal ArticleDOI

Effects of sample size and position from monolith and core methods on the estimation of total root biomass in a temperate grassland ecosystem in Inner Mongolia

TL;DR: In this article, the authors evaluated measurement accuracy of the monolith and core methods with different sample sizes and positions in a temperate grassland ecosystem in Inner Mongolia, China and found that the small core method significantly underestimated total root biomass compared with the large core method (10 cm-diameter), small monolith method (0.25 m 2 ) and large monolith methods (1 m 2 ).
Journal ArticleDOI

Forecasting dryland vegetation condition months in advance through satellite data assimilation.

TL;DR: The authors show that combining vegetation and water storage remote sensing can be used to infer knowledge of vegetation access to deep moisture, allowing drought impact forecasts months in advance.
Journal ArticleDOI

Predicting Invasive Species Impacts on Hydrological Processes: The Consequences of Plant Physiology for Landscape Processes1

TL;DR: The concept of limits to evaporation was developed to help organize our general scientific understanding of the hydrological implications of changes in vegetation as mentioned in this paper, and it provides a way of reducing this complexity to the factors most likely to be the major determinants of evapotion from vegetation in a given situation.
References
More filters
Journal ArticleDOI

Stable isotopes in precipitation

TL;DR: In this paper, the isotopic fractionation of water in simple condensation-evaporation processes is considered quantitatively on the basis of the fractionation factors given in section 1.2.
Book

Biogeochemistry : An Analysis of Global Change

TL;DR: In this paper, the authors present a perspective of the global cycle of nitrogen and phosphorous, the global water cycle, and the global sulfur cycle from a global point of view.
Journal ArticleDOI

Terrestrial ecosystem production: A process model based on global satellite and surface data

TL;DR: In this paper, the authors present a modeling approach aimed at seasonal resolution of global climatic and edaphic controls on patterns of terrestrial ecosystem production and soil microbial respiration using satellite imagery (Advanced Very High Resolution Radiometer and International Satellite Cloud Climatology Project solar radiation), along with historical climate (monthly temperature and precipitation) and soil attributes (texture, C and N contents) from global (1°) data sets as model inputs.
Journal ArticleDOI

A global biome model based on plant physiology and dominance, soil properties and climate

TL;DR: A model to predict global patterns in vegetation physiognomy was developed from physiological considera- tions influencing the distributions of different functional types of plant in a given environment, and selected the potentially dominant types from among them as discussed by the authors.
Journal ArticleDOI

Global climate change and terrestrial net primary production

TL;DR: In this paper, a process-based model was used to estimate global patterns of net primary production and soil nitrogen cycling for contemporary climate conditions and current atmospheric CO2 concentration, with most of the production attributable to tropical evergreen forest.
Related Papers (5)