Determining landscape-level drivers of variability for over fifty soil chemical elements

Ren, Haiyan; Zhou, Quanping; He, Jianbo; Hou, Ying; Jiang, Yuehua; Rodrigues, Jorge L. Mazza; Cobb, Adam B.; Wilson, Gail W. T.; Hu, Jian; Zhang, Yingjun

doi:10.1016/j.scitotenv.2018.12.024

Cited by 11 publications

(4 citation statements)

References 52 publications

(76 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Across three levels, soil pH and BD were found to be negatively related to habitat quality, while soil TN was positively correlated with habitat quality (Figure S4). Those sensitive soil quality indicators (e.g., soil pH, TN, and BD) adjusted plant nutrient absorption, soil element dissolution, and microbial community diversity, which jointly regulate ecosystem function and stability [64][65][66][67]. BRT models showed that MAT had the most considerable contribution to the habitat quality in high-level zones, which largely support previous findings [40].…”

Section: Drivers Of Habitat Quality Patternssupporting

confidence: 81%

“…We found that climate favorably mainly affected habitat quality by regulating the soil physical and chemical properties (Figures 4-6). Climate conditions influence landscape patterns, such as altering soil element concentration or moisture [64,75]. Notably, climate conditions had direct negative effects on habitat quality, and the influence pathway coefficients were higher in medium-level zones than in high-level zones across five periods (β = −0.1764, −0.2656, −0.2105, −0.2547, and −0.2925, respectively).…”

Section: The Driving Paths Of Habitat Quality Patternsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Zhang,

Zheng,

Zou

et al. 2024

Sustainability

View full text Add to dashboard Cite

Understanding habitat quality patterns and their drivers in arid zones is of fundamental importance to the sustainability maintenance of terrestrial ecosystems, but remains elusive. Here, we applied the InVEST model to investigate the spatiotemporal patterns of habitat quality in the northern sand-prevention belt (NSPB) across five time periods (2000, 2005, 2010, 2015, 2018), coupled with the structural equation model (SEM) and boosted regression tree (BRT) model to identify their integrated driving forces. The results exhibited that habitat quality in high-level zones expanded gradually from 2000 to 2018, while the middle- and low-level zones shrank. Climate, soil, topography, and human activities were significantly correlated with habitat quality, with mean annual temperature (MAT) and human activities being key contributing factors in the high-level and low-level zones, respectively, whereas the contribution of factors varied considerably in the middle-level zones. The interactions among climate, soil, topography, and human activities jointly drive habitat quality changes. Climate intensified the positive effects of soil on habitat quality, while the topographic and human activities mainly affected habitat quality indirectly through climate and soil. Our findings offer a scientific guidance for the restoration and sustainable management of desertification ecosystems in northern China.

show abstract

Section: Drivers Of Habitat Quality Patternssupporting

confidence: 81%

Section: The Driving Paths Of Habitat Quality Patternsmentioning

confidence: 99%

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Zhang,

Zheng,

Zou

et al. 2024

Sustainability

View full text Add to dashboard Cite

show abstract

“…2020 which differentiates their absolute concentration and relative proportions of elements in each plant (BOTHE; SLOMKA, 2017). Calcium (Ca) is an intermediate micronutrient that, when found in excess or deficient, may be detrimental to the biochemical functions and growth of the plant, besides modifying soil pH and cation exchange capacity (REN et al, 2019).…”

Section: Morphological Analysis -Sem and Edsmentioning

confidence: 99%

Production and Characterization of Activated Biochar of Cássia Fistula L. Leaves

Tomassoni

Schneider

Giroletti

et al. 2020

R. gest. sust. ambient.

View full text Add to dashboard Cite

A new activated biochar was produced by carbonizing Cássia fistula L. leaves and its characterization was performed. Scanning Electron Microscopic (SEM) images of the activated biochar showed morphology with numerous irregular cavities and pores. BET surface area and total pore volume of produced adsorbent were 192 m².g-1 and 0.108 cm3.g-1, respectively. Mean porous diameter of the produced biochar was 2.263 nm, characterizing a mesoporous material. Crystallinity and functional groups of the adsorbent were determined by X-ray diffraction (XRD) and Fourier Transform Infrared (FTIR) spectroscopy analyses, respectively. The pH of zero charge point (pHzcp) observed was equal to 10, demonstrating that the activated biochar has a negative surface, which facilitates the adsorption of positively charged compounds in water and wastewater treatment. Tree leaves of Cássia fistula L. represent a promising raw material for activated biochar production, given their availability and characteristics of the adsorbent produced. The use of tree leaves for activated biochar production can reduce the operational costs of adsorption process, besides providing the use of a residue for a more noble purpose.

show abstract

“…At larger scales, the effect of climate on soil metal elements variations will be enhanced. For instance, Ren et al [22] concluded that the variations of metal elements were mainly influenced by longitude, pH, mean annual temperature and precipitation after analyzing over 50 elements based on 9830 topsoil samples across an area of 39000 km 2 in southeast China. Martin et al [23] reported that soil elements variations were closely linked to variations of source geology, soil type, climate and topography based on a database of the regional geochemical baseline soil survey in southern New Zealand.…”

Section: Introductionmentioning

confidence: 99%

Surface soil metal elements variability affected by environmental and soil properties

Yan

et al. 2021

PLoS ONE

View full text Add to dashboard Cite

Identifying the factors controlling the spatial variability of soil metal elements could be a challenge task due to the interaction of environmental attributes and human activities. This study aimed to investigate the critical explanatory variables controlling total Ca, Cd, Cr, Cu, Zn, Fe, Mn, Mg, Pb, and Zn variations in the arable topsoil using classical statistics, principal component analysis, and random forest techniques. The work was conducted in the core region of the Three Gorges Reservoir of China. The explanatory variables included soil, topography, climate, vegetation, land use type, and distance-related parameters. Average concentrations of the metal elements were in order of Fe > Mg > Ca > Mn > Zn > Cr > Ni > Pb > Cu > Cd. Soil Cr, Fe, and Pb showed low variability while others presented medium variability. Average concentrations of Cr, Fe, Cd, and Mg exceeded their corresponding background values. There were highly positive correlations between all metal elements except Pb, Cd and Cr. The principal component analysis further demonstrated that the sources of Pb, Cd, and Cr differed with other elements. The results of random forest suggested that soil properties followed by topography were critical parameters affecting the variations of Ca, Mg, Mn, Fe, Ni, Zn, and Cu. Agricultural activities and soil properties were major factors controlling the variations of Pb, Cr, and Cd. Further study should be conducted to understand the relations between the metal elements and soil properties.

show abstract

Determining landscape-level drivers of variability for over fifty soil chemical elements

Cited by 11 publications

References 52 publications

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Evaluating Spatiotemporal Patterns and Integrated Driving Forces of Habitat Quality in the Northern Sand-Prevention Belt of China

Production and Characterization of Activated Biochar of Cássia Fistula L. Leaves

Surface soil metal elements variability affected by environmental and soil properties

Contact Info

Product

Resources

About