Spatial pattern and heterogeneity of soil organic carbon and nitrogen in sand dunes related to vegetation change and geomorphic position in Horqin Sandy Land, Northern China

Zuo, Xiaoan; Zou, Xueyong; Zhao, Haichao; Guo, Yuhan; Zhang, T. H.; Cui, Junyan

doi:10.1007/s10661-009-0872-2

Cited by 29 publications

(22 citation statements)

References 50 publications

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“…This spatial variability in soil variables (SV hereafter) is largely controlled by the interaction of multiple biological, chemical and physical processes acting simultaneously at multiple scales (Jackson and Caldwell 1993, Farley and Fitter 1999, Zuo et al 2010). While the environmental drivers of SV have been studied on individual functions and at local scales (e.g.…”

Section: Introductionmentioning

confidence: 99%

Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe

Durán

Delgado‐Baquerizo

Dougill

et al. 2018

Ecology

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The relationship between the spatial variability of soil multifunctionality (i.e., the capacity of soils to conduct multiple functions; SVM) and major climatic drivers, such as temperature and aridity, has never been assessed globally in terrestrial ecosystems. We surveyed 236 dryland ecosystems from six continents to evaluate the relative importance of aridity and mean annual temperature, and of other abiotic (e.g., texture) and biotic (e.g., plant cover) variables as drivers of SVM, calculated as the averaged coefficient of variation for multiple soil variables linked to nutrient stocks and cycling. We found that increases in temperature and aridity were globally correlated to increases in SVM. Some of these climatic effects on SVM were direct, but others were indirectly driven through reductions in the number of vegetation patches and increases in soil sand content. The predictive capacity of our structural equation modelling was clearly higher for the spatial variability of N- than for C- and P-related soil variables. In the case of N cycling, the effects of temperature and aridity were both direct and indirect via changes in soil properties. For C and P, the effect of climate was mainly indirect via changes in plant attributes. These results suggest that future changes in climate may decouple the spatial availability of these elements for plants and microbes in dryland soils. Our findings significantly advance our understanding of the patterns and mechanisms driving SVM in drylands across the globe, which is critical for predicting changes in ecosystem functioning in response to climate change.

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Section: Introductionmentioning

confidence: 99%

Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe

Durán

Delgado‐Baquerizo

Dougill

et al. 2018

Ecology

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“…Generally, soil nutrients appear to be variable in arid and semiarid area ecosystems because many variables interact with and contribute to the spatial distribution of soil nutrients20. Our results showed that soil nutrient content decreased with intensifying desertification, which suggests that desertification results in a more heterogeneous distribution of soil nutrients and that soil becomes barren as desertification progresses.…”

Section: Discussionmentioning

confidence: 61%

Effect of desertification on productivity in a desert steppe

Tang

Deng

et al. 2016

Sci Rep

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Desertification, one of the most severe types of land degradation in the world, is of great importance because it is occurring, to some degree, on approximately 40% of the global land area and is affecting more than 1 billion people. In this study, we used a space-for-time method to quantify the impact of five different desertification regimes (potential (PD), light (LD), moderate (MD), severe (SD), and very severe (VSD)) on a desert steppe ecosystem in northern China to examine the relationship between the productivity of the vegetation and soil properties and to determine the mechanism underlying the effects of desertification on productivity. Our results showed that the effects of desertification on TP (total phosphorus) and AP (available phosphorus) were not significant, and desertification decreased productivity in the desert steppe as a result of direct changes to soil physical properties, which can directly affect soil chemical properties. Therefore, intensive grassland management to improve soil quality may result in the long-term preservation of ecosystem functions and services.

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“…In recent decades, this region has undergone severe desertification, primarily due to heavy pressure on productive natural resources, such as over-grazing and over-cultivation driven by a rapidly growing human population (Zuo et al 2010). The area is now called the Horqin Sandy Land, known as a major desertified region in China.…”

Section: Study Areamentioning

confidence: 99%

Agent-based modeling of complex social–ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services

Miyasaka

Le²,

Okuro

et al. 2017

Landscape Ecol

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Context Recent conceptual developments in ecosystem services research have revealed the need to elucidate the complex and unintended relationships between humans and the environment if we are to better understand and manage ecosystem services in practice. Objectives This study aimed to develop a model that spatially represents a complex human-environment (H-E) system consisting of heterogeneous socialecological components and feedback mechanisms at multiple scales, in order to assess multi-dimensional (spatial, temporal, and social) trade-offs in ecosystem services. Methods We constructed an agent-based model and empirically calibrated it for a semi-arid region in Northeast China, and examined ecosystem service trade-offs derived from the Sloping Land Conversion Program (SLCP), which is based on payment for ecosystem services. This paper describes our model, named Inner Mongolia Land Use Dynamic Simulator (IM-LUDAS), using the overview, design concepts, and details ? decision (ODD ? D) protocol and demonstrates the capabilities of IM-LUDAS through simulations. Results IM-LUDAS represented typical characteristics of complex H-E systems, such as secondary and cross-scale feedback loops, time lags, and threshold 123Landscape Ecol (2017) 32:707-727 DOI 10.1007 change, revealing the following results: tree plantations expanded by the SLCP facilitated vegetation and soil restoration and household change toward off-farm livelihoods, as expected by the government; conversely, the program caused further land degradation outside the implementation plots; moreover, the livelihood changes were not large enough to compensate for income deterioration by policy-induced reduction in cropland. Conclusions IM-LUDAS proved itself to be an advanced empirical model that can recreate essential features of complex H-E systems and assess multidimensional trade-offs in ecosystem services.

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Spatial pattern and heterogeneity of soil organic carbon and nitrogen in sand dunes related to vegetation change and geomorphic position in Horqin Sandy Land, Northern China

Cited by 29 publications

References 50 publications

Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe

Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe

Effect of desertification on productivity in a desert steppe

Agent-based modeling of complex social–ecological feedback loops to assess multi-dimensional trade-offs in dryland ecosystem services

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