Relationships between biological soil crusts, bacterial diversity and abundance, and ecosystem functioning: Insights from a semi-arid Mediterranean environment

2011 ◽  
Vol 22 (1) ◽  
pp. 165-174 ◽  
Author(s):  
Andrea P. Castillo-Monroy ◽  
Matthew A. Bowker ◽  
Fernando T. Maestre ◽  
Susana Rodríguez-Echeverría ◽  
Isabel Martinez ◽  
...  
PLoS ONE ◽  
2013 ◽  
Vol 8 (8) ◽  
pp. e71489 ◽  
Author(s):  
Blaire Steven ◽  
Marie Lionard ◽  
Cheryl R. Kuske ◽  
Warwick F. Vincent

2005 ◽  
Vol 19 (4) ◽  
pp. 566-573 ◽  
Author(s):  
F. T. MAESTRE ◽  
A. ESCUDERO ◽  
I. MARTINEZ ◽  
C. GUERRERO ◽  
A. RUBIO

2019 ◽  
Vol 11 (11) ◽  
pp. 1286 ◽  
Author(s):  
Xiang Chen ◽  
Tao Wang ◽  
Shulin Liu ◽  
Fei Peng ◽  
Atsushi Tsunekawa ◽  
...  

Biological soil crusts (BSCs) play an essential role in desert ecosystems. Knowledge of the distribution and disappearance of BSCs is vital for the management of ecosystems and for desertification researches. However, the major remote sensing approaches used to extract BSCs are multispectral indices, which lack accuracy, and hyperspectral indices, which have lower data availability and require a higher computational effort. This study employs random forest (RF) models to optimize the extraction of BSCs using band combinations similar to the two multispectral BSC indices (Crust Index-CI; Biological Soil Crust Index-BSCI), but covering all possible band combinations. Simulated multispectral datasets resampled from in-situ hyperspectral data were used to extract BSC information. Multispectral datasets (Landsat-8 and Sentinel-2 datasets) were then used to detect BSC coverage in Mu Us Sandy Land, located in northern China, where BSCs dominated by moss are widely distributed. The results show that (i) the spectral curves of moss-dominated BSCs are different from those of other typical land surfaces, (ii) the BSC coverage can be predicted using the simulated multispectral data (mean square error (MSE) < 0.01), (iii) Sentinel-2 satellite datasets with CI-based band combinations provided a reliable RF model for detecting moss-dominated BSCs (10-fold validation, R2 = 0.947; ground validation, R2 = 0.906). In conclusion, application of the RF algorithm to the Sentinel-2 dataset can precisely and effectively map BSCs dominated by moss. This new application can be used as a theoretical basis for detecting BSCs in other arid and semi-arid lands within desert ecosystems.


2010 ◽  
Vol 333 (1-2) ◽  
pp. 21-34 ◽  
Author(s):  
Andrea P. Castillo-Monroy ◽  
Fernando T. Maestre ◽  
Manuel Delgado-Baquerizo ◽  
Antonio Gallardo

2010 ◽  
Vol 334 (1-2) ◽  
pp. 311-322 ◽  
Author(s):  
Jordi Cortina ◽  
Noelia Martín ◽  
Fernando T. Maestre ◽  
Susana Bautista

2012 ◽  
Vol 367 (1606) ◽  
pp. 3087-3099 ◽  
Author(s):  
Cristina Escolar ◽  
Isabel Martínez ◽  
Matthew A. Bowker ◽  
Fernando T. Maestre

Biological soil crusts (BSCs) are key biotic components of dryland ecosystems worldwide that control many functional processes, including carbon and nitrogen cycling, soil stabilization and infiltration. Regardless of their ecological importance and prevalence in drylands, very few studies have explicitly evaluated how climate change will affect the structure and composition of BSCs, and the functioning of their constituents. Using a manipulative experiment conducted over 3 years in a semi-arid site from central Spain, we evaluated how the composition, structure and performance of lichen-dominated BSCs respond to a 2.4°C increase in temperature, and to an approximately 30 per cent reduction of total annual rainfall. In areas with well-developed BSCs, warming promoted a significant decrease in the richness and diversity of the whole BSC community. This was accompanied by important compositional changes, as the cover of lichens suffered a substantial decrease with warming (from 70 to 40% on average), while that of mosses increased slightly (from 0.3 to 7% on average). The physiological performance of the BSC community, evaluated using chlorophyll fluorescence, increased with warming during the first year of the experiment, but did not respond to rainfall reduction. Our results indicate that ongoing climate change will strongly affect the diversity and composition of BSC communities, as well as their recovery after disturbances. The expected changes in richness and composition under warming could reduce or even reverse the positive effects of BSCs on important soil processes. Thus, these changes are likely to promote an overall reduction in ecosystem processes that sustain and control nutrient cycling, soil stabilization and water dynamics.


Sign in / Sign up

Export Citation Format

Share Document