Soil microbiology and biochemistry: Directions and challenges for the future

Application of ecological theory to explain microbial regulation of soil function

Nitrogen is a fundamental component of living organisms, but it is also in short supply in forms in which vegetation can assimilate. As a result, nitrogen is a limiting element for vegetation growth. However, as a consequence of the human-mediated introduction of mineral nitrogen, nitrogen is also a major pollutant in anthropogenic ecosystems. Both natural and anthropogenic ecosystems supply important goods and services for the human wellbeing and in order to maintain the human living standards, there is a necessity of preserving natural ecosystems over time on one side, while improving the sustainability of anthropogenic ecosystems on the other. In that sense, mathematical models including the nitrogen cycle are useful tools which allow the analysis of the relationships and behaviours of these ecosystems, and there is a clear need to continue to develop and test nitrogen models, principally, models with an integrated approach, capable to deal with the different characteristics and behaviours of natural and anthropogenic ecosystems. Hence, the aim of the present thesis is to improve the nitrogen cycle modelling, exploring different parsimonious modelling approaches within the plant-soil-water continuum in natural and anthropogenic semiarid ecosystems. To face this objective, two parsimonious nitrogen models have been developed and implemented in two different data availability scenarios. Firstly, a new parsimonious carbon and nitrogen model, TETIS-CN, is implemented in a semiarid natural forest ecosystem trying to contribute to a better understanding and modelling of the hydrological and biogeochemical (carbon and nitrogen) cycles and their interactions in semiarid conditions and to test its capability to satisfactorily reproduce them. The results are satisfactory and suggest that it is important to include carbon observations in the calibration process, to consider all the existing vegetation species in the simulation, and that a fixed daily potential uptake may not be appropriate to reproduce the plant nitrogen uptake process. Secondly, a new parsimonious nitrogen model, TETIS-N, is implemented in a semiarid anthropogenic agricultural ecosystem. Since agriculture is the major source of diffuse pollution, being nitrogen and sediment pollution of water bodies its main associated environmental impacts, this second approach aims to improve its sustainability by evaluating the impact of several management practices on nitrogen and sediment loads, and horticultural crop yields. As a result, each management practice resulted effective in reducing a certain type of diffuse pollution, and therefore, combined scenarios are necessary to cope with all agricultural pollution sources. This thesis proved that each ecosystem has different characteristics and behaviours and therefore, different modelling necessities. Consequently, current models should include an integrate modelling of both natural and anthropogenic ecosystems.

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Exploring the possibilities of parsimonious nitrogen modelling in different ecosystems

Assessing the vegetation and soil microbial ecology of renosterveld rangelands around Nieuwoudtville, Northern Cape Province

Soil organic carbon represents the largest terrestrial carbon pool, being one of the most relevant components in the carbon cycle budget and climate change feedbacks. The scientific community and policymakers expressed the need for spatially information about its distribution. This work aims to develop statistical methods to quantify topsoil organic carbon by using spectroscopic data as a tool for digital soil mapping. Firstly, it was explored the capacity of spectroscopy for map soil organic carbon content at regional scale using topsoil samples from Galicia (NW-Spain). Next, it was developed a spatially non-stationary approach that allows mapping soil organic carbon content and also identifying the factors more relevant for its accumulation in Europe. Finally, it was evaluated the capacity of digital soil mapping methods for monitoring the soil organic carbon stocks expected under different climate change scenarios using for such purpose legacy data from Santa Cruz Island (Galapagos).

Modelling of the topsoil organic carbon content by analysing the potential of spectroscopic techniques for digital soil mapping

The biogeochemical cycles of carbon (C), nitrogen (N) and phosphorus (P) are interlinked by primary production, respiration and decomposition in terrestrial ecosystems. It has been suggested that the C, N and P cycles could become uncoupled under rapid climate change because of the different degrees of control exerted on the supply of these elements by biological and geochemical processes. Climatic controls on biogeochemical cycles are particularly relevant in arid, semi-arid and dry sub-humid ecosystems (drylands) because their biological activity is mainly driven by water availability. The increase in aridity predicted for the twenty-first century in many drylands worldwide may therefore threaten the balance between these cycles, differentially affecting the availability of essential nutrients. Here we evaluate how aridity affects the balance between C, N and P in soils collected from 224 dryland sites from all continents except Antarctica. We find a negative effect of aridity on the concentration of soil organic C and total N, but a positive effect on the concentration of inorganic P. Aridity is negatively related to plant cover, which may favour the dominance of physical processes such as rock weathering, a major source of P to ecosystems, over biological processes that provide more C and N, such as litter decomposition. Our findings suggest that any predicted increase in aridity with climate change will probably reduce the concentrations of N and C in global drylands, but increase that of P. These changes would uncouple the C, N and P cycles in drylands and could negatively affect the provision of key services provided by these ecosystems.

David A. Ramırez Collantes

Papers

Decoupling of soil nutrient cycles as a function of