Spatial and temporal dynamics of shifting cultivation in Manipur, Northeast India based on time-series satellite data

Thong, Pentile; Sahoo, Uttam Kumar; Pebam, Rocky; Thangjam, Uttam

doi:10.1016/j.rsase.2019.03.001

Cited by 13 publications

(7 citation statements)

References 26 publications

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“…Keeping in view the topographical parameters, soil type, and mean annual rainfall and temperature, we selected four different fallow periods after the abandonment of the Jhum fields, namely, 5 (JF 5 ), 10 (JF 10 ), 15 (JF 15 ) and 20 (JF 20 ) years fallow ( Table 1 ). The study sites were selected as per the findings of Thong et al [ 7 ] and the plot was navigated using a GPS.…”

Section: Methodsmentioning

confidence: 99%

“…The fallow duration and cropping period are specifically influenced by ecological and socio-economic factors [5]. In North-East India, this practice is locally known as Jhum where the cropping period has been reported to be 1-2 years with a fallow duration varying from 6-12 years [6,7]. The regional estimation of abandoned land after Jhum differs significantly depending on the means of estimation.…”

Section: Introductionmentioning

confidence: 99%

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Pattern of forest recovery and carbon stock following shifting cultivation in Manipur, North-East India

et al. 2020

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Shifting cultivation has resulted in large-scale deforestation and forest degradation in the tropics; however the abandoned fallows are known to have high potential for carbon capture. The paper is an attempt to determine the forest recovery patterns following shifting cultivation by evaluating the tree species composition, diversity and abundance with respect to topographical factors in Manipur, India. We also used ordination analysis to understand the change in species composition with regard to environmental variables. The living woody biomass carbon of each fallow was quantified, and the factors affecting the recovery of carbon stock along an increasing fallow gradient was assessed. Our results showed that the species richness and basal area recovered relatively with time since abandonment, and the north-facing lower elevation fallow sites displayed higher species richness and stem density than those in higher elevations. Environmental variables had no impact on the regeneration of Elaeocarpus floribundus Blume and Castanopsis hystrix Hook. f. & Thomson ex A. DC. which suggests that they may be capable of effective restoration of degraded forest areas. As these species appear naturally in the forests, it would facilitate quicker rehabilitation and reinstate the soil nutrients making the soil reusable in a short term. We also found that fallow age plays a vital role in recovering above-ground biomass carbon from living woody species followed by the aspect of the site. The total living woody biomass carbon ranged from 0.98 Mg ha-1 in 5 years fallow to 142.58 Mg ha-1 in 20 years fallow. The above-ground biomass carbon recovery of the oldest fallow was 39% to 40% of the reference undisturbed forest and the estimated time for the shifting cultivation fallows to reach that of the undisturbed forest level was approximately 39 years to 41 years.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Pattern of forest recovery and carbon stock following shifting cultivation in Manipur, North-East India

et al. 2020

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“…Dense forests gained about 840 ha covering around 45% of the total area in 2016. This was, in all likelihood, the result of extensive afforestation efforts undertaken by the Forest Department (Sharma & Saikia, 2018;Sharma, 2019;Thong, Sahoo, Pebam, & Thangjam, 2019). 16 years is insufficient for dense forests to develop.…”

Section: Resultsmentioning

confidence: 99%

Park in the periphery: Land use and land cover change and forest fragmentation in and around Yangoupokpi Lokchao Wildlife Sanctuary, Manipur, India

Bungnamei¹,

Saikia²

2020

Geogr. Pol.

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This study documents the spatio-temporal land use and land cover dynamics of Yangoupokpi Lokchao Wildlife Sanctuary (YLWLS) in Manipur, India. Landsat imageries at three points of time spanning 38 years (1978, 2000 and 2016) were taken into account. Supervised image classification techniques were employed. Fragstats software was used to derive five landscape metrics, namely, class area (CA), number of patches (NP), largest patch index (LPI), percentage of landscape (PLAND) and mean patch size (MPS), to quantitatively assess the level of landscape fragmentation in the YLWLS. Dense and moderately dense forests decreased markedly during 1978-2000 from 46.5% to 40% and 38% to 28% of the total geographical area, respectively. However, between 2000 and 2016, the sanctuary managed to gain 840 ha of dense forest through various afforestation activities. The overall change in YLWLS during 1978-2016 indicates a substantial transition of dense and moderately dense forests.

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“…Landsat data archive has been proven as one of the potential data sources for long-term land surface mapping and monitoring at monthly to decadal scale at moderate resolution, where the use of GEE platform provides the opportunity for quick data processing without using local computing resources [43]. Several studies have used the Landsat data for various applications including long-term shifting cultivation mapping [44,45]. The formulation of the DTMT method within the GEE platform for automatic mapping helped overcome the typical obstacles encountered for reproducing such large-scale classification and change detection map products (Figure 6).…”

Section: Discussionmentioning

confidence: 99%

Automated Mapping for Long-Term Analysis of Shifting Cultivation in Northeast India

Das¹,

Mudi

Barik

et al. 2021

Remote Sensing

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Assessment of the spatio-temporal dynamics of shifting cultivation is important to understand the opportunities for land restoration. The past studies on shifting cultivation mapping of North-East (NE) India lack systematic assessment techniques. We have developed a decision tree-based multi-step threshold (DTMT) method for consistent and long-term mapping of shifting cultivation using Landsat data from 1975 to 2018. Widely used vegetation indices such as normalized difference vegetation index (NDVI), Normalized Burn Ratio (NBR) and its relative difference NBR (RdNBR) were integrated with the suitable thresholds in the classification, which yielded overall accuracy above 85%. A significant decrease in total shifting cultivation area was observed with an overall reduction of 75% from 1975–1976 to 2017–2018. The methodology presented in this study is reproducible with minimal inputs and can be useful to map similar changes by optimizing the index threshold values to accommodate relative differences for other landscapes. Furthermore, the crop-suitability maps generated by incorporating climate and soil factors prioritizes suitable land use of shifting cultivation plots. The Google Earth Engine (GEE) platform was employed for automatic mapping of the shifting cultivation areas at desired time intervals for facilitating seamless dissemination of the map products. Besides the novel DTMT method, the shifting cultivation and crop-suitability maps generated in this study, can aid in sustainable land management.

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Spatial and temporal dynamics of shifting cultivation in Manipur, Northeast India based on time-series satellite data

Cited by 13 publications

References 26 publications

Pattern of forest recovery and carbon stock following shifting cultivation in Manipur, North-East India

Pattern of forest recovery and carbon stock following shifting cultivation in Manipur, North-East India

Park in the periphery: Land use and land cover change and forest fragmentation in and around Yangoupokpi Lokchao Wildlife Sanctuary, Manipur, India

Automated Mapping for Long-Term Analysis of Shifting Cultivation in Northeast India

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