scholarly journals Impact of Land Use Conversion on Carbon Stocks and Selected Peat Physico-chemical Properties in the Leyte Sab-a Basin Peatland, Philippines

Wetlands ◽  
2021 ◽  
Vol 42 (1) ◽  
Author(s):  
Syrus Cesar P. Decena ◽  
Sarah Villacorta-Parilla ◽  
Arwin O. Arribado ◽  
Dionesio R. Macasait ◽  
Michael S. Arguelles ◽  
...  
Keyword(s):  
Land Use ◽  
Chemical Properties ◽  
Carbon Stocks ◽  
Land Use Conversion ◽  
Physico Chemical

scholarly journals Impact of Land Use Conversion On Carbon Stocks And Selected Peat Physico-Chemical Properties In The Leyte Sab-A Basin Peatland, Philippines

2021 ◽  
Author(s):  
Syrus Cesar Decena ◽  
Sarah Villacorta-Parilla ◽  
Arwin Arribado ◽  
Dionesio Macasait ◽  
Michael Arguelles ◽  
...  
Keyword(s):  
Land Use ◽  
Carbon Stock ◽  
Anthropogenic Activities ◽  
Peat Soil ◽  
Chemical Properties ◽  
Carbon Stocks ◽  
Land Use Conversion ◽  
Wetland Forest ◽  
Physico Chemical ◽  
The Impact

Abstract Peatlands are unique wetland ecosystems that provide various ecosystem services such as carbon storage and biogeochemical cycling, however being threatened by anthropogenic activities. The present study was conducted to explore the impact of land use conversion on carbon stocks and peat properties in a tropical peatland in the Leyte Sab-a Basin Peatland (LSBP) in Northeastern Leyte, Philippines. The carbon stocks (aboveground and belowground) and physico-chemical properties of peat soil were compared among wetland forest, grassland and cropland. Land use conversion resulted in the significant reduction of the total aboveground carbon stock. The wetland forest had the highest carbon stocks (38.56 ± 4.58 t ha− 1), and when converted to grassland and cropland, it has resulted to carbon loss of as much as 86.59 and 90.45%, respectively. The belowground root carbon stock was highest in the wetland forest (5.05 ± 0.64 t ha− 1) also while highest peat carbon stock (1 m depth) was observed in the cropland areas (45.28 ± 2.25–61.27 ± 3.07 t ha− 1). However, wetland forests with very deep peat deposits potentially store a significant amount of carbon than in cropland that was characterized by shallower compressed peats. In addition, land use conversion altered the physico-chemical properties of peat such as water content, organic matter, and porosity, and bulk density which all indicated peatland degradation. Finally, the overall result of this study highlights the importance to develop and implement management and conservation plans for LSBP.

Changes in organic carbon stocks upon land use conversion in the Brazilian Cerrado: A review

2010 ◽  
Vol 137 (1-2) ◽  
pp. 47-58 ◽  
Author(s):  
Laura Batlle-Bayer ◽  
Niels H. Batjes ◽  
Prem S. Bindraban
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Carbon Stocks ◽  
Brazilian Cerrado ◽  
Land Use Conversion

Assessing changes in soil carbon stocks after land use conversion from forest land to agricultural land in Japan

Geoderma ◽  
2020 ◽  
Vol 377 ◽  
pp. 114487
Author(s):  
Nobuhisa Koga ◽  
Seiji Shimoda ◽  
Yasuhito Shirato ◽  
Takashi Kusaba ◽  
Takeo Shima ◽  
...  
Keyword(s):  
Land Use ◽  
Soil Carbon ◽  
Agricultural Land ◽  
Carbon Stocks ◽  
Forest Land ◽  
Land Use Conversion ◽  
Soil Carbon Stocks

Supporting land degradation neutrality assessment by soil organic carbon stock mapping in Hungary

2021 ◽  
Author(s):  
Annamária Laborczi ◽  
Gábor Szatmári ◽  
János Mészáros ◽  
Sándor Koós ◽  
Béla Pirkó ◽  
...  
Keyword(s):  
Land Use ◽  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Land Degradation ◽  
Carbon Stocks ◽  
Conversion Factors ◽  
Land Use Conversion ◽  
Soc Stock ◽  
Default Data ◽  
Stock Values

<p>‘Strategic objective 1’ of the United Nations Convention to Combat Desertification (UNCCD) aims to improve conditions of affected ecosystems, combat desertification/land degradation, promote sustainable land management, and contribute to land degradation neutrality. The indicator ‘Proportion of land that is degraded over total land area’ (SO1) is compiled from three sub-indicators: ‘Trends in land cover’ (SO1-1), ‘Trends in land productivity or functioning of the land’ (SO1-2), ‘Trends in carbon stocks above and below ground’ (SO1-3).</p><p>Soil organic carbon (SOC) stock can be adopted as the metric of SO1-3, until globally accepted methods for estimating the total terrestrial system carbon stocks will be elaborated. SOC can be considered as one of the most important properties of soil, which shows not just spatial but temporal variability. According to our previous results in the topic, UNCCD default data of SOC stock for Hungary is strongly recommended to be replaced with country specific estimation of SOC stock.</p><p>SOC stock maps were compiled in the framework of DOSoReMI.hu (Digital, Optimized, Soil Related Maps and Information in Hungary) initiative, predicted by proper digital soil mapping (DSM) method. Reference soil data were derived from a countrywide monitoring system. The selection of environmental covariates was based on the SCORPAN model. The elaborated SOC stock mapping methodology have two components: (1) point support modelling, where SOC stock is computed at the level of soil profile, and (2) spatial modelling (quantile regression forest), where spatial prediction and uncertainty quantification are carried out using the computed SOC stock values.</p><p>We analyzed how SOC stock changed between 1998 and 2016.  Nationwide SOC stock predictions were compiled for the years 1998, 2010, 2013, and 2016. For the intermediate years, we do not recommend to calculate SOC stock values, because we have no information on the dynamics of change in the intervening years. Based on the 1998 SOC stock prediction, we compiled a SOC stock map for 2018, using only land use conversion factors, according to the default data conversion values.</p><p>According to the elaborated scheme during the respective period, significant changes cannot be detected, only tendentious SOC stock changes appear. Based on our results, we recommend to use spatially predicted layers for all years when data are available, rather than calculating SOC stock change based on land use conversion factors.</p><p><strong>Acknowledgment:</strong> Our research was supported by the Hungarian National Research, Development and Innovation Office (NKFIH; K-131820) and by the Premium Postdoctoral Scholarship of the Hungarian Academy of Sciences (PREMIUM-2019-390) (Gábor Szatmári).</p>

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