Impact of sustainable land‐use management practices on soil carbon storage and soil quality in the Goa state of India

Author(s):  
Venkatesh Paramesh ◽  
Surendra Kumar Singh ◽  
Deepak S. Mohekar ◽  
Vadivel Arunachalam ◽  
Shiva Dhar Misra ◽  
...  
2020 ◽  
Author(s):  
Victoria Janes-Bassett ◽  
Jessica Davies ◽  
Richard Bassett ◽  
Dmitry Yumashev ◽  
Ed Rowe ◽  
...  

<p>Throughout the Anthropocene, the conversion of land to agriculture and atmospheric deposition of nitrogen have resulted in significant changes to biogeochemical cycling, including soil carbon stocks. Quantifying these changes is complex due to a number of influential factors (including climate, land use management, soil type) and their interactions. As the largest terrestrial store of carbon, soils are a key component in climate regulation. In addition, soil carbon storage contributes to numerous ecosystem services including food provision. It is therefore imperative that we understand changes to soil carbon stocks, and provide effective strategies for their future management.</p><p>Modelling soil systems provides a means to estimate changes to soil carbon stocks. Due to linkages between the carbon cycle and other major nutrient cycles (notably nitrogen and phosphorus which often limit the productivity of ecosystems), models of integrated nutrient cycling are required to understand the response of the carbon cycle to global pressures. Simulating the impacts of land use changes requires capacity to model both semi-natural and intensive agricultural systems.</p><p>In this study, we have developed an integrated carbon-nitrogen-phosphorus model of semi-natural systems to include representation of both arable and grassland systems, and a range of agricultural management practices. The model is applicable to large spatial scales, as it uses readily available input data and does not require site-specific calibration.  After being validated both spatially and temporally using data from long-term experimental sites across Northern-Europe, the model was applied at a national scale throughout the United Kingdom to assess the impacts of land use change and management practices during the last two centuries. Results indicate a decrease in soil carbon in areas of agricultural expansion, yet in areas of semi-natural land use, atmospheric deposition of nitrogen has resulted in increased net primary productivity and subsequently soil carbon. The results demonstrate anthropogenic impacts on long-term nutrient cycling and soil carbon storage, and the importance of integrated nutrient cycling within models.</p>


Author(s):  
Paramesh Venkatesh ◽  
SURENDRA SINGH ◽  
Deepak Mohekar ◽  
Vadivel Arunachalam ◽  
Shiva Misra ◽  
...  

The evaluation of sustainable land management practices is imperative under particular soil type, climate, and cropping sequence following area-specific best management practices. The alternative land-use system (ALUS-natural forest, pasture, cashew, areca nut, coconut) on hills and agricultural land-use system (AGLUS-rice-rice, rice-pulse) in the coastal plains of west coast India was evaluated in this study. The present study assessed the impact of sustainable land-use management practices on different fractions of SOC and soil quality under ALUS and AGLUS. The total SOC stocks under different land-use systems varied from 14.4 Mg ha−1 in rice–rice rotations to 133.7 Mg ha−1 in cashew and more than 75% of total SOC stock were found as a passive carbon pool. The higher lability index, available nutrients, and biochemical properties were found in ALUS. This variation in the levels of SOC and soil quality was due to land use and management practices. The results indicated land use with areca nut (0.8) on the hills and rice–pulses (0.25) rotations on the coast had maintained soil quality of high order. On upscaling the different land-use systems by growing cashew, areca nut, coconut, pasture, and rice-pulses rotations, SOC stocks of Goa can increase from 6.33 Tg at present to 32 Tg. We recommend promoting sustainable agriculture with ALUS on the hills and with AGLUS on the coastal plains of Goa for enhancing SOC sequestration and improving soil quality.


SOIL ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 173-185 ◽  
Author(s):  
R. Zornoza ◽  
J. A. Acosta ◽  
F. Bastida ◽  
S. G. Domínguez ◽  
D. M. Toledo ◽  
...  

Abstract. Soil quality (SQ) assessment has long been a challenging issue, since soils present high variability in properties and functions. This paper aims to increase the understanding of SQ through the review of SQ assessments in different scenarios providing evidence about the interrelationship between SQ, land use and human health. There is a general consensus that there is a need to develop methods to assess and monitor SQ for assuring sustainable land use with no prejudicial effects on human health. This review points out the importance of adopting indicators of different nature (physical, chemical and biological) to achieve a holistic image of SQ. Most authors use single indicators to assess SQ and its relationship with land uses – soil organic carbon and pH being the most used indicators. The use of nitrogen and nutrient content has resulted sensitive for agricultural and forest systems, together with physical properties such as texture, bulk density, available water and aggregate stability. These physical indicators have also been widely used to assess SQ after land use changes. The use of biological indicators is less generalized, with microbial biomass and enzyme activities being the most selected indicators. Although most authors assess SQ using independent indicators, it is preferable to combine some of them into models to create a soil quality index (SQI), since it provides integrated information about soil processes and functioning. The majority of revised articles used the same methodology to establish an SQI, based on scoring and weighting of different soil indicators, selected by means of multivariate analyses. The use of multiple linear regressions has been successfully used for forest land use. Urban soil quality has been poorly assessed, with a lack of adoption of SQIs. In addition, SQ assessments where human health indicators or exposure pathways are incorporated are practically inexistent. Thus, further efforts should be carried out to establish new methodologies to assess soil quality not only in terms of sustainability, productivity and ecosystem quality but also human health. Additionally, new challenges arise with the use and integration of stable isotopic, genomic, proteomic and spectroscopic data into SQIs.


Soil Research ◽  
2006 ◽  
Vol 44 (3) ◽  
pp. 233 ◽  
Author(s):  
Budiman Minasny ◽  
Alex. B. McBratney ◽  
M. L. Mendonça-Santos ◽  
I. O. A. Odeh ◽  
Brice Guyon

Estimation and mapping carbon storage in the soil is currently an important topic; thus, the knowledge of the distribution of carbon content with depth is essential. This paper examines the use of a negative exponential profile depth function to describe the soil carbon data at different depths, and its integral to represent the carbon storage. A novel method is then proposed for mapping the soil carbon storage in the Lower Namoi Valley, NSW. This involves deriving pedotransfer functions to predict soil organic carbon and bulk density, fitting the exponential depth function to the carbon profile data, deriving a neural network model to predict parameters of the exponential function from environmental data, and mapping the organic carbon storage. The exponential depth function is shown to fit the soil carbon data adequately, and the parameters also reflect the influence of soil order. The parameters of the exponential depth function were predicted from land use, radiometric K, and terrain attributes. Using the estimated parameters we map the carbon storage of the area from surface to a depth of 1 m. The organic carbon storage map shows the high influence of land use on the predicted storage. Values of 15–22 kg/m2 were predicted for the forested area and 2–6 kg/m2 in the cultivated area in the plains.


1997 ◽  
Vol 77 (2) ◽  
pp. 187-193 ◽  
Author(s):  
Jérôme Balesdent ◽  
Sylvie Recous

In order to predict the potential of soils to store carbon in response to land use or climate changes, we measured the fluxes and distribution of residence times of C in French cultivated soils. We used the natural abundances in 13C and 14C to measure this distribution in long-term experiments of maize cultivation in France. 75% of the topsoil carbon had a mean residence time of 40 yr. Coarse particle-size fractions contained most of the younger carbon. A compartment of stable C was estimated using radiocarbon dating. Belowground plant material inputs stored as much as C as aboveground inputs. The effect of temperature on soil carbon mineralization affected only rate constants, with a Q10 = 3.1 constant in the range 1–25 °C. The data were summerized in a simple simulation model, which predicted a nil or low effect of climatic change on soil carbon storage in the next 50 yr. In France, land use changes will have more influence than atmospheric changes on C storage. Key words: France, greenhouse gases, mineralization, model, soil carbon, storage, temperature


PLoS ONE ◽  
2013 ◽  
Vol 8 (7) ◽  
pp. e68372 ◽  
Author(s):  
Xiaoyu Li ◽  
Yugang Wang ◽  
Lijuan Liu ◽  
Geping Luo ◽  
Yan Li ◽  
...  

Tellus B ◽  
1999 ◽  
Vol 51 (2) ◽  
pp. 326-335 ◽  
Author(s):  
NEAL A. SCOTT ◽  
KEVIN R. TATE ◽  
JUSTIN FORD-ROBERTSON ◽  
DAVID J. GILTRAP ◽  
C. TATTERSALL SMITH

2011 ◽  
Vol 40 (3) ◽  
pp. 833-841 ◽  
Author(s):  
Rafael G. Tonucci ◽  
P. K. Ramachandran Nair ◽  
Vimala D. Nair ◽  
Rasmo Garcia ◽  
Fernando S. Bernardino

Sign in / Sign up

Export Citation Format

Share Document