International Journal of Applied Earth Observation and Geoinformation
Assessing land-use and carbon stock in slash-and-burn ecosystems in tropical mountain of Laos based on time-series satellite images
Introduction
Quantitative assessment of carbon exchange between various ecosystems and the atmosphere is one of the critical subjects in environmental policy-making (IPCC, 2003, Houghton, 2005, Hese et al., 2005, Ramankutty et al., 2007, Fung et al., 2007) as well as in related sciences since the carbon stock in terrestrial ecosystems plays an important role in the global carbon cycle (Tian et al., 2003, Dong et al., 2003, Bellamy et al., 2005). Land-use changes such as conversion between cropland and forest may have great impacts on carbon exchange at the interface of land surfaces to the atmosphere (Houghton and Hackler, 1999, IPCC, 2003, Righelato and Spracklen, 2007, Meyfroidt and Lambin, 2008). Amazonian forest has been focused by many studies (e.g. Cochrane et al., 1999, Houghton et al., 2000, Hirsch et al., 2004, Davidson et al., 2008, Vargas et al., 2008). Nevertheless, estimating the carbon balance in many tropical regions remains an important challenge due to limited data and their uncertainty (Ramankutty et al., 2007).
In the tropical mountains of Southeast Asia, slash-and-burn (S/B) agriculture, i.e. shifting cultivation is an important food production system, and widely practiced in mountainous regions of Vietnam, Laos, China, Bangladesh, Myanmar and northern India (Rasul and Gopal, 2003). In S/B agriculture, a patch of vegetation is cleared, burnt, and used to grow crops for a few seasons, and then abandoned for regeneration of vegetation. Hence, dynamic and large-scale changes in the ecosystem carbon stock occur over the cropping (C) + fallow (F) cycles. It has been pointed out that the S/B agriculture is a rational crop production system to utilize hilly lands with a little input, and used to be sustainable while the fallow period was long enough to recover the plant biomass and soil fertility (Fujisaka, 1991, Roder, 2001). The fallow biome also provides various non-timber forest products (NTFP; mushrooms, medicinal plants, bamboo, insects, etc.) that play an important role in rural livelihoods (Douangsavanh et al., 2006).
Nevertheless, increasing population pressure and land-use regulation have forced shifting cultivators to expand S/B areas and to shorten the fallow period (Pravongvienkham, 2004, Douangsavanh et al., 2006, Fujita and Phanvilay, 2008). Consequently, the negative effects on crop productivity such as decreasing soil fertility and increasing weed problems have been reported (Fujisaka, 1991, Roder, 2001), but also the negative impacts on biological resources (forest, NTFS, biodiversity, etc.) and the atmosphere are serious concerns. Therefore, alternative land-use and ecosystem management scenarios are urgently required to improve food and resource security (Douangsavanh et al., 2006) as well as for carbon sequestration. However, quantitative information on the chrono-sequential change of land-use and ecosystem carbon stock in the region is not available. Limited accessibility to the mountainous areas as well as the limited availability of statistical data for the region has hampered scientific investigations, especially at regional scales (Fujisaka, 1991, Roder, 2001, Shrestha and Zinck, 2001). In general, it is difficult to obtain quantitative information especially on land-use history (Aumtong et al., 2009).
Use of satellite imagery is one of the viable options for such investigations. A great deal of efforts have been made to estimate biophysical variables such as biomass, net primary productivity (NPP) and light use efficiency as well as land-use change in a wide range of ecosystems (e.g. Dymond et al., 2001, Dong et al., 2003, Hese et al., 2005, Veroustraete et al., 2002). Spectral assessment of photosynthetic efficiency and capacity is one of vital interests in remote sensing and ecosystem science communities (e.g. Inoue et al., 2008a). Assimilation of remotely-sensed data into biophysical process models would be another promising approach (e.g. Nouvellon et al., 2001, Veroustraete et al., 2002, Inoue and Olioso, 2006, Dorigo et al., 2007). In spite of its usefulness, availability of optical satellite imagery is strongly limited due to the tropical climate conditions in the region and the use of radar imagery (SAR) remains challenging due to the steep topographic conditions. Therefore, the simple approach using time-series satellite imagery examined by Inoue et al., 2007, Inoue et al., 2008b may be feasible for the geo-spatial assessment of land-use and carbon stock in S/B ecosystems under such unfavourable conditions.
Thus, the main objective of this study was to provide quantitative information on the land-use and ecosystem carbon stock in the region by linking time-series satellite imagery with an ecosystem carbon model derived from in situ experiments. Another objective was to infer the impacts of various land-use and ecosystem management scenarios on the potential of carbon sequestration at a regional scale.
Section snippets
Study area
The central part of northern Laos was selected as a study area (150 km × 150 km; Fig. 1) not only because S/B agriculture is the major agricultural system there but also because the livelihood as well as natural resources are dependent seriously on the S/B land-use in the area (Douangsavanh et al., 2006). Another reason is that the area is typical of similar ecosystems in the mountainous mainland region of Southeast Asia (Rasul and Gopal, 2003). The area is centred around 102°03′48.9″ E,
Reconnaissance
Ground-based information on land surface conditions or land-use history was collected through field reconnaissance and interviews with villagers and officers during 2001–2006 periods. Major S/B areas in Luang Prabang, Oudomxay and Luang Namtha provinces were visited during the dry seasons (October–April) in these years. Satellite images, digital maps and geo-referenced photographs taken by cameras equipped with global positioning system were used to identify the land-use at patch basis.
An approach to estimate S/B land-use from satellite imagery
The
S/B land-use in the region
The recent status of major land-use types in the intensive study area (350 km2; Luang Prabang province) was analysed using high resolution satellite imagery (QuickBird; October 23, 2003). Table 2 shows the detailed classification results for the study area in 2003, where the monitoring plots for in situ measurements were established. The major types of land-use, i.e. S/B patches, fallow vegetation areas, conservation forests including spiritual forests, teak plantations, paddy/croplands, water
Conclusions
This study was conducted to provide the quantitative basis to better understand and manage the land-use and ecosystem carbon stock in the slash-and-burn region of tropical mountains in Laos.
The use of time-series satellite images proved useful to derive not only the chrono-sequential change of land-use, but also the relative areas for consecutive S/B use, community age and C + F patterns. The cropping area by S/B practice in each year increased rapidly from around 5% in 1970's to 12% in 2000s;
Acknowledgements
This work was supported in part by the Global Environment Research Fund, Ministry of Environment in Japan. We are also grateful to Prof. Skidmore, ITC, the Netherlands for his helpful comments.
References (50)
- et al.
Yield response of indica and tropical japonica genotypes to soil fertility conditions under rainfed uplands in northern Laos
Field Crops Research
(2009) - et al.
Linking yields of upland rice in shifting cultivation to fallow length and soil properties
Agriculture, Ecosystems and Environment
(2006) - et al.
Remote sensing estimates of boreal and temperate forest woody biomass: carbon pools, sources, and sinks
Remote Sensing of Environment
(2003) - et al.
A review on reflective remote sensing and data assimilation techniques for enhanced agroecosystem modeling
International Journal of Applied Earth Observation and Geoinformation
(2007) - et al.
Monitoring land at regional and national scales and the role of remote sensing
International Journal of Applied Earth Observation and Geoinformation
(2001) - et al.
Predictive relations of tropical forest biomass from Landsat TM data and their transferability between regions
Remote Sensing of Environment
(2003) - et al.
Global biomass mapping for an improved understanding of the CO2 balance—the Earth observation mission carbon-3D
Remote Sensing of Environment
(2005) - et al.
Normalized difference spectral indices for estimating photosynthetic efficiency and capacity at a canopy scale derived from hyperspectral and CO2 flux measurements in rice
Remote Sensing of Environment
(2008) - et al.
The effects of land tenure policy on rural livelihoods and food sufficiency in the upland village of Que, North Central Vietnam
Agricultural Systems
(2007) - et al.
Coupling a grassland ecosystem model with Landsat imagery for a 10-year simulation of carbon and water budgets
Remote Sensing of Environment
(2001)