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Contents lists available at ScienceDirect

Anthropocene

jo urnal homepage: www.elsevier.com/locate/ancene

Changing human–landscape interactions after development of

tourism in the northern Vietnamese Highlands

a,b,d, a b

Huong Thi Thu Hoang *, Veerle Vanacker , Anton Van Rompaey ,

c d

Kim Chi Vu , An Thinh Nguyen

a

Earth and Life Institute, Georges Lemaıˆtre Center for Earth and Climate Research, Universite´ Catholique de Louvain, Place L. Pasteur 3, Bte L4.03.08,

Louvain-la-Neuve, Belgium

b

Division of Geography, Department of Earth and Environmental Sciences, K.U. Leuven, Celestijnenlaan 200 E, bus 2409, B-3001 Heverlee, Belgium

c

Institute of Vietnamese studies and Development sciences, VNU, 336 Nguyen Trai street, Thanh Xuan district, , Viet Nam

d

Faculty of Geography, Hanoi University of Sciences, VNU, 334 Nguyen Trai street, Thanh Xuan district, Hanoi, Viet Nam

A R T I C L E I N F O A B S T R A C T

Article history: In developing countries in tropical regions, the poorest segments of the rural population often rely on

Received 16 January 2014

forests for survival. The creation of off-farm jobs in the tourism sector, construction or manufacturing

Received in revised form 7 August 2014

has been suggested as a potential way to alleviate pressure on tropical forests. Using Sa Pa district as a

Accepted 27 August 2014

case study, we evaluated the coupling of human and forest dynamics. The district was opened for

Available online xxx

international tourism in 1993, which had a large impact on daily life in Sa Pa town and its surrounding

communities. Analysis of land cover change for the period 1993–2014, using high-resolution satellite

Keywords:

images from three timeperiods and an analysis of covariance, detected possible associations between

Coupled human–environmental changes

forest cover change and socio-economic, cultural and biophysical variables at the village level. Between

Tourism development

Ethnicity 1993 and 2006, Sa Pa district experienced a net decrease of forest in favour of arable land, while this

Land use pressure trend was reversed in the period 2006–2014. However, trends at district level mask substantial

Forest transition heterogeneity at village level. Results show that deforestation is considerably lower in villages that are

Northern strongly involved in tourism activities. Marginal agricultural fields with low productivity are also

preferentially abandoned. Because of diversification in alternative economic activities, rural households

may become less dependent on natural resources and agricultural products for their survival. These

results suggest that the creation of off-farm income sources activities can be a driver of shifts in human–

environment interactions, as new livelihood strategies can offset the pressure on forested land.

ß 2014 Elsevier Ltd. All rights reserved.

Introduction dynamics are diverse. In some countries, such as the Philippines or

Cambodia, the deforestation rate is much higher than the

Many tropical areas worldwide are characterized by high rates Southeast Asian average; while in other countries, such as

of deforestation. According to Lambin and Geist (2003), one-third Vietnam, the start of a forest transition is reported (FAO, 2006;

of the humid forest in Southeast Asia was cleared between the Meyfroidt and Lambin, 2008b). Forest transition is defined by a

beginning of the twentieth century and World War II. The decline reversal of the trend of deforestation so that net reforestation

in forest cover continued after the 1950s. Presently, forests cover occurs (Meyfroidt and Lambin, 2008b). Causes of tropical

46–48% of the land surface in Southeast Asia, but less than 10% of deforestation and forest transition are still poorly understood,

the primary tropical rainforest is preserved (FAO, 2010; Dong et al., and are the scope of ongoing research programmes. Deforestation

2012). Recent deforestation rates for this region are assessed at and reforestation patterns are linked to multiple biophysical and

1.5% per year (FAO, 2006; Grainger, 2008). Nevertheless, forest socio-economic variables such as ethnicity (Castella et al., 2005; Vu

et al., 2013), land tenure (Mottet et al., 2006), increasing demand

for food production (Zhang, 2000; Geist and Lambin, 2001; Casse

et al., 2004; Meyfroidt and Lambin, 2008a), poverty (Hobbs, 2001;

* Corresponding author at: Earth and Life Institute, Georges Lemaıˆtre Center for

Adams et al., 2004; Dasgupta et al., 2005; Robinson, 2006; Zwane,

Earth and Climate Research, Universite´ Catholique de Louvain, Place L. Pasteur 3, Bte

2007), soil fertility (Szillassi et al., 2010; Vanacker et al., 2014), and

L4.03.08, Louvain-la-Neuve, Belgium. Tel.: +32 494694385; fax: +32 16322980.

accessibility (Koning, 2000; Castella et al., 2005; Etter et al., 2006;

E-mail addresses: [email protected],

[email protected] (H.T.T. Hoang). Van Dessel et al., 2008).

http://dx.doi.org/10.1016/j.ancene.2014.08.003

2213-3054/ß 2014 Elsevier Ltd. All rights reserved.

Please cite this article in press as: Hoang, H.T.T., et al., Changing human–landscape interactions after development of tourism in the

northern Vietnamese Highlands. Anthropocene (2014), http://dx.doi.org/10.1016/j.ancene.2014.08.003

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2 H.T.T. Hoang et al. / Anthropocene xxx (2014) xxx–xxx

In rural areas in developing countries, the poorest segments of Study area

the population often rely on forests for survival (Tugault-Lafleur,

2007; Coulibaly-Lingani et al., 2009). The use of forest products Sa Pa district is located in Northern Vietnam (Fig. 1) and covers

2

allows livelihood diversification, but may lead to forest degrada- an area of ca. 680 km . It has a total of 55,900 inhabitants (GSO,

tion and/or net deforestation when it is not controlled (Jadin et al., 2010) living in 17 communes and its administrative centre, Sa Pa

2013). The Vietnamese mountain areas are dominantly populated town. The district is considered as a gateway to the northern

by ethnic minorities that speak local languages and still adopt a Vietnamese Highlands. The topography is rough, with an elevation

traditional livelihood based on self-subsistence farming (Fox et al., of 180 m in the Muong Hoa valley and up to 3143 m at the

2000; Tugault-Lafleur, 2007). These minorities often live in peak (highest elevation in Vietnam, located within Hoang Lien

relatively isolated conditions and do not fully participate in the National Park). The major rivers are the Muong Hoa and Ta Trung

major economic transformation of Vietnam that is taking place in Ho River that flow in the Red River nearby Lao Cai. The region is

the lowlands. The livelihood of these local people strongly depends characterized by a sub-tropical and temperate climate with an

on the available natural resources because of a lack of infrastruc- annual rainfall of 2763 mm (Frontier Vietnam, 1999).

ture and education that would allow them to participated in Sa Pa district is home to 6 major ethnic groups: the Hmong, the

market-oriented activities (Frontier Vietnam, 1997). During past Yao, the Ta`y, the Gia´y, the Xa Pho and the Kinh. The Ta`y occupied

decades, the scarcity of arable land coupled with population the fertile valleys and middle altitudes. The other ethnic groups

growth has led to increasing pressure on forests (Burgess and such as the Hmong and Yao entered Northern Vietnam only in the

Barbier, 2001). Exploitation of forest resources by ethnic minori- 19th century (Michaud and Turner, 2006), and settled on steep

ties, responding to socio-economic pressures, is generally thought forested slopes generally above 800 m. Before 1960s, there were

to be the cause of rapid forest degradation and/or deforestation in only a few Kinh lowlanders living in Sa Pa town as the surveillance

Southeast Asia (Fox et al., 2000; Geist and Lambin, 2001). Studies and maintenance staffs of French military (Michaud and Turner,

by Jodha (1998), Ravnborg (2003), Scherr (2000) and Jadin et al. 2006). From 1960s onwards, Kinh migrated to Sa Pa district as this

(2013), however, showed that deforestation is not necessarily was stimulated by the New Economic Zone Policy of the national

associated with poverty. government (Michaud and Turner, 2000, 2006). The Kinh were

The creation of off-farm jobs has been suggested as a potential mainly involved in administration, tourism, and education and

way to alleviate pressures on tropical forests (Mather, 1992; Rudel settled in the district’s capital, while most of the other ethnic

et al., 2005; Getahun et al., 2013; Teka-Belay et al., 2013). Off-farm groups practiced different types of subsistence agriculture mostly

jobs are often created by economic development of urban areas in the form of shifting cultivation (Tugault-Lafleur, 2007). Apart

resulting in rural–urban migrations (Vanegas and Henry, 2012; from the shifting cultivation, ethnic minorities also used to

Vermeiren et al., 2012). Development of tourism activities in rural cultivate opium and collect forest products for their survival

areas has also been suggested as a viable means to offset pressures (Michaud and Turner, 2000; Sowerwine, 2004b; Turner, 2012),

on forests (Garcı´a-Martı´nez et al., 2011; Nyaupane and Poudel, which could have contributed to past forest clearance. Today, the

2011). When rural households can generate additional income ethnic groups cultivate water rice on permanent terraced paddy

from tourism activities, abandonment of low-productive farmland fields; maize and other crops on upland fields (Leisz et al., 2004;

and spontaneous establishment of secondary forest on former Turner, 2011). Terraced paddy fields were first introduced by the

agricultural plots may result. Dong et al. (2008) supported this Hmong and Yao who migrated from southern China to northern

hypothesis based on a case-study in Lugu lake (China). Job and Vietnam during the late 19th and early 20th centuries (Michaud,

Paesler (2013) also described how the intensification of tourism in 1997). Additionally, many households cultivate cardamom

Wasini (Kenya) has led to less intensive land use for agricultural (Amomum aromaticum) under forest cover as a substitute cash

purposes, eventually resulting in a decrease of farmland and an crop, after the ban on opium in 1992 (Tugault-Lafleur and Turner,

increase of the forest area. Nevertheless, this hypothesis has been 2009; Turner, 2011).

challenged by other studies suggesting that tourism activities Because of its scenic landscape and presence of five ethnic

stimulate deforestation and forest degradation. Research by groups with their traditional way of living, Sa Pa is considered as

Forsyth (1995) in northern Thailand showed that the growth of one of the most attractive tourism areas in Vietnam. The Hoang

the tourism sector did not decrease agricultural pressure on forests Lien Mountains comprise probably the last remnants of native

and soil resources because households invested their income from forest of the northern Vietnamese highlands. It became one of the

tourism in the expansion of arable fields and increasing frequency first areas recognized as a ‘special use forest’ in Vietnam, and it was

of cultivation by hiring external labour. Additionally, Gaughan converted into the Hoang Lien National Park (HLNP) in July 2002

et al. (2009) showed that the increased number of visitors to the following the Prime Minister’s Decision 90/2002/QD-TTg to protect

archaeological sites of Angkor Kwat in Cambodia accelerated biodiversity by preserving the subtropical and temperate forest

deforestation in the Angkor basin. The deforestation occurred due ecosystems (Le, 2004; Jadin et al., 2013). Already under the French

to increased charcoal production for new restaurants and hotels, Regime (1887–1940), Sa Pa district was a well-known holiday and

which required wood products from forests. In the coastal areas of relaxation resort (Michaud and Turner, 2006). Northern Vietnam

Hainan Island (Southern China) and the Mediterranean (Turkey), suffered a lot under the first Indochina war (1945–1954). The town

Wang and Liu (2013) and Atik et al. (2010) respectively indicated sunk into oblivion, as a large part of the population of Sa Pa town

that tourism development led to a rapid increase of the built-up area. fled away from the hostilities. In the early 1960s, in the framework

These activities resulted in a decrease of agricultural land and coastal of the New Economic Zones Policy, migration schemes were

forest, causing landscape fragmentation and coastal erosion. designed by the new socialist regime that stimulated the

In this study, we evaluate possible changes in the human– Vietnamese Kinh from the lowlands to populate the northern

environment interactions after the development of tourism Vietnamese Highlands (Hardy, 2005). The decision of the national

activities. Using Sa Pa district in the northern Vietnamese government to open Sa Pa district for international tourism in 1993

Highlands as a test case, we addressed the following questions: had a large impact on daily life in Sa Pa town and its surrounding

First, how has forest cover changed in the period between 1993 and communities. The number of domestic and international visitors

2014? Second, how does forest cover change relate to tourism increased exponentially from 16,100 in 1995 to 405,000 in 2009

development? Third, what are the likely impacts of the changing (GSO, 1995, 2010) (Fig. 1). Tourism is now the most important

human–landscape relationships on local livelihoods? economic activity in the area, and it generated 58% of Sa Pa

Please cite this article in press as: Hoang, H.T.T., et al., Changing human–landscape interactions after development of tourism in the

northern Vietnamese Highlands. Anthropocene (2014), http://dx.doi.org/10.1016/j.ancene.2014.08.003

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Fig. 1. Location of Sa Pa district, with graph on the evolution and distribution of tourist visits.

district’s GDP in 2010 (GSO, 2010). The poverty rate in Sa Pa district and the semi-empirical topographic correction implemented

decreased gradually from 36% in 2000 to 21% in 2009 (GSO, 2000, in ATCOR2/3 (Richter, 2011; Balthazar et al., 2012). Then, a

2010). Local inhabitants that potentially benefit from tourism supervised maximum likelihood classification was carried out to

activities are hotel and restaurant owners and shopkeepers in Sa Pa map the following 5 land cover categories (Fig. 2): forest, shrub,

town; tour guides, traditional craft sellers from the rural villages arable land, water body and . Spectral signatures for the

and farming households that offer rooms for homestays. The different land cover types were identified by delineating training

tourism infrastructure is dominantly controlled by the Kinh areas on the basis of field work carried out in 2010 (Fig. 5).

majority, while the other minorities mainly deliver labour force The accuracy of the land cover maps was assessed by comparing

to run the tourism industry. the classified land cover with visual interpretations of very high

resolution remote sensing data. For 1993, the comparison was

Materials and methods done with aerial photographs (MONRE, 1993); for 2006 with a

VHR-SPOT4 image (MONRE, 2006) and for 2014 with a VHR-SPOT5

Mapping land cover and land cover changes image (MONRE, 2012). Random sampling of validation points was

done with n = 219 for the 1993 map, n = 315 for the 2006 map, and

In order to evaluate the potential impact of tourism activities on n = 306 for the 2014 map. The number of sample points per land

forest cover in Sa Pa, three land cover maps were compiled based cover class varied from 3 to 111, depending on the areal cover of

on LANDSAT images available from the U.S. Geological Survey the classes. For all randomly selected points, the land cover was

archives (http://glovis.usgs.gov). One LANDSAT-patch (path/row compared with the classified land cover. This comparison allowed

128/45) covers the whole Sa Pa district with a resolution of 30 m by to assess the overall accuracy, quantity disagreement and

30 m. The Landsat images date from Feb 1, 1993 (just after the allocation disagreement (in %) following the procedures described

opening for international tourism), Nov 4, 2006 (midst of the by Pontius and Millones (2011).

evaluation period) and Jan 02, 2014 (current state). All images In order to analyze land cover change trajectories over 3

were taken in the post-harvest period when the arable fields are timeperiods, the change trajectories were grouped in 6 classes: (1)

bare. All Landsat images in the freely available USGS archive are deforestation (change from any class of forest to non-forest), (2)

orthorectified with precision terrain correction level L1T reforestation (change from non-forest to forest), (3) land aban-

(Vanonckelen et al., 2013). All images were then corrected for donment (change from agricultural land to shrub or forest), (4)

atmospheric and topographic effects using the MODTRAN-4 code expansion of arable land (conversion from shrub to arable land), (5)

Please cite this article in press as: Hoang, H.T.T., et al., Changing human–landscape interactions after development of tourism in the

northern Vietnamese Highlands. Anthropocene (2014), http://dx.doi.org/10.1016/j.ancene.2014.08.003

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Fig. 2. Land cover maps derived from Landsat images for(A) 1993, (B) 2006, (C) 2014 and (D) proportions of the main land cover classes in 1993, 2006, 2014.

other changes, and (6) no change (Table 1). The original classes

‘water body’ and ‘urban area’ that only occupy a minor fraction of

Table 1

the land were not taken into consideration. A major challenge in Land cover change trajectories and their descriptions for period 1993–2014.

mapping land cover change is the detection of permanent land

Order Land cover change Category Change trajectory

abandonment in shifting cultivation systems in which fields are

1993 2006 2014

regularly taken out of production for a short time span only.

Therefore in this study we defined land abandonment as a 1 Deforestation F-F-A Forest Forest Arable land

transition from agricultural land (observed in 1993) to natural F-F-S Forest Forest Shrubs

F-A-A Forest Arable land Arable land

regrowth of shrub (observed in 2006) on condition that the parcel

F-A-S Forest Arable land Shrubs

was not taken again in production in 2014. Pixels with observed

F-S-A Forest Shrubs Arable land

transitions such as A-A-S and A-A-F (Table 1) of which it is not sure F-S-S Forest Shrubs Shrubs

that they are permanently abandoned were classified into the

2 Reforestation A-F-F Arable land Forest Forest

group ‘Other change’

S-F-F Shrubs Forest Forest

S-S-F Shrubs Shrubs Forest

Analysis of the controls on land cover change patterns

3 Land abandonment A-S-S Arable land Shrubs Shrubs

A-S-F Arable land Shrubs Forest

In order to understand the observed land cover change patterns,

4 Arable land expansion S-S-A Shrubs Shrubs Arable land

socio-economic and biophysical data were collected at the level of

S-A-A Shrubs Arable land Arable land

villages. In Sa Pa district, the majority of the ethnic groups lives in

S-F-A Shrubs Forest Arable land

ethnically homogeneous villages (ban:or thoˆn in Vietnamese). Only

5 Other change A-A-S, A-F-S, A-F-A, S-A-S, A-S-A, S-F-S, F-A-F,

4 of the 85 villages are inhabited by multiple ethnic groups, and

F-S-F, S-A-F, A-A-F

they are typically located in the commune (xa˜) centres. Therefore,

6 No change F-F-F, A-A-A, S-S-S

the village level is considered as the most detailed and relevant

scale level for the analysis of human–environment interactions F is forest, S is shrubs and A is arable land.

Please cite this article in press as: Hoang, H.T.T., et al., Changing human–landscape interactions after development of tourism in the

northern Vietnamese Highlands. Anthropocene (2014), http://dx.doi.org/10.1016/j.ancene.2014.08.003

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Table 2

Dependent variables used for the ANCOVA analysis. All variables were averaged at the village level.

Variable Acronym Description Type Unit Source

Deforestation DEFOREST Total area of deforestation of each village divided Numerical % Landsat images 1993,

by the surface area of the village and multiply by 100 2006, 2014

Reforestation REFOREST Total area of reforestation of each village divided

by the surface area of the village and multiply by 100

Land abandonment ABANLAND Total area of land abandonment of each village divided

by the surface area of the village and multiply by 100

Expansion of arable land EXPLAND Total area of arable land expansion of each village divided

by the surface area of the village and multiply by 100

Table 3

Independent variables used for the ANCOVA analysis. All variables were collected or averaged at the village level.

Variable Acronym Description Type Unit Source

Engagement in tourism TOUR The percentage of households engaged in tourism in 2006 Numerical % Vietnam Rural, Agricultural,

Ethnic group H Hmong Categorical and Fishery Census

Y Yao conducted in 2006 with the

T Ta`y support of the World Bank

G Gia´y (GSO, 2006b)

XP Xa Pho

MIX Mixed ethnic groups

Poverty Rate PR The percentage of households under the poverty level Numerical %

of Vietnam in 2006

Cardamom cultivation CC Surface area of cardamom cultivation per household Numerical ha/hh

Population growth POPGR Population growth rate in the period 1989–2006 Numerical %/year Yearbook in 1989 and 2006

(GSO, 1989, 2006a)

Effect of preservation policy InsideNP The villages are located inside the National park Categorical Topographic maps of 2009

Outside NP The villages are located outside the National park published by Ministry of

Elevation EL Average elevation calculated at pixel-level Numerical m Natural Resources and

Slope SL Average slope calculated at pixel-level Numerical Degree Environment at the scale

Distance to roads DROAD Average of the distance to main roads calculated at pixel-level Numerical m 1:50,000. (MONRE, 2009)

Distance to rivers DRIVER Average of the distance to rivers calculated at pixel-level Numerical m

Distance to Sa Pa town DTOWN Average of the distance to Sa Pa town calculated at pixel level Numerical m

Distance to market DMARKET Average of the distance to markets calculated at pixel level Numerical m

(Castella et al., 2002). In Vietnam, however, village boundaries are Multiple regression analysis using ANCOVA (analysis of

not officially delineated because the commune is the lowest covariance) was performed to detect possible associations

administrative unit (Castella et al., 2005). Therefore, the village between land cover change, and socio-economic and biophysical

boundaries (n = 85) in Sa Pa district were delineated by means of variables at the level of individual villages which can considered as

participatory mapping following the procedure described by homogeneous units in terms of ethnicity, livelihood and biophysi-

Castella et al. (2005) and Meyfroidt (2009). Cadastral officers cal setting. ANCOVA is a widely applied technique as it allows

were offered a 1/10.000 scale colour print of the 2006 VHR-SPOT 4 evaluating the combined effect of a range of both categorical and

image (printed in true colours, 5 m resolution) and were asked to numerical predictors (Maneesha and Bajpai, 2013). ANCOVA was

draw the village borders on a transparent sheet on top. performed for each one of the four land cover change types

Tables 2 and 3 show all the variables that were collected at (deforestation, reforestation, land abandonment, and expansion

the village level. Socio-economic variables were derived from of arable land) as the dependent variable. A multicollinearity

the yearbook of 1989 and 2006, and from the Vietnam Rural, test was carried out to detect correlation between explanatory

Agricultural, and Fishery Census conducted in 2006 under the variables. Multicollinearity diagnostics were performed by

leadership of the Department of Agriculture, Forestry and Fishery calculating the Variation Inflation Factors (VIF) and the Tolerance

Statistics and the General Statistics Office with support from the (TOL). In this study, variables with VIF greater than 2 and TOL

World Bank. The original census data available at household level less than 0.6 are excluded from the analyses as proposed by

were aggregated to village level, and the following variables were Allison (1999). The final models included ethnicity and effect of

calculated: the percentage of households involved in tourism (%), preservation as categorical variables; engagement in tourism,

the ethnic group (categorical), the population growth rate (%/year), cardamom cultivation, poverty rate, population growth, slope,

the poverty rate expressed as percentage of households under the distance to rivers, distance to main road and distance to Sa Pa

national poverty threshold of 2400,000 VND/person/year and the town as numerical variables (Table 3). ANCOVA model parameters

involvement in cardamom cultivation (ha/household) (Table 3). In were estimated using XLSTAT software, and the explanatory

order to evaluate the potential effect of the land use policy inside power of the ANCOVA models was assessed by the Goodness of fit

2

and outside the National park, one more categorical variable statistics, R .

(inside/outside the park) was taken into account to examine the

effect of public policy. Six biophysical variables were firstly Results

collected at pixel level (30 Â 30 m): the elevation (m above sea

level), the slope gradient (degree), the distance to main road (m), Land cover change patterns

the distance to rivers (m), the distance to Sa Pa town (m), the

distance to nearest market (m) and were then aggregated to Fig. 2 shows the land cover maps for the years 1993, 2006 and

village level to match with the scale of socio-economic variables 2014. The overall accuracy of the land cover classification was

(Table 3). assessed at 80.0%, 86.4% and 84.6% (quantity disagreement of 5.0%,

Please cite this article in press as: Hoang, H.T.T., et al., Changing human–landscape interactions after development of tourism in the

northern Vietnamese Highlands. Anthropocene (2014), http://dx.doi.org/10.1016/j.ancene.2014.08.003

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2.8%, 4.4% and allocation disagreement of 15.0%, 10.8%, 11.0%) for elevations, and Ta`y are generally settled nearby the rivers in the

the land cover maps of 1993, 2006 and 2014, respectively. valleys. The villages of the Yao are situated in the peripheral areas

The land cover pattern in Sa Pa district is strongly determined in the north and south of Sa Pa district. Fig. 4A shows that the

by the topography. Valleys are generally cultivated. Steep slopes household involvement in tourism is highest in Sa Pa town (>50%).

and mountain peaks are predominantly covered by forests or Involvement in tourism in the peripheral areas is restricted to a few

shrubs. Patches of forest are concentrated on the Hoang Lien isolated villages. The poverty rate map shows that the town of Sa

mountain range in the southern part of Sa Pa district, and are also Pa and its surrounding villages are richer than the more peripheral

found on remote steep slopes. Shrubs are widely distributed, and areas. The southern part of the district is also richer because many

can be found in valleys, mountain peaks or on steep slopes. local households receive an additional income from cardamom

Between 1993 and 2014, the overall area covered by forest and cultivation under forest. Cardamom is mainly grown under trees of

arable land increased slightly (with respectively +3% and +2%) the Hoang Lien National Park in the southern part of the district.

while shrubs decreased with À5% (Fig. 2D). However, land cover The population growth is positive in the whole district and highest

changes are not linear in SaPa district, and there exist substantial in Sa Pa town and its immediate surroundings.

temporal differences. During the first period (1993–2006), the Table 4 shows the results of the ANCOVA analysis for four land

study area experienced a general trend of deforestation for cover trajectories: deforestation, reforestation, land abandonment

expansion of arable land. Between 1993 and 2006 the area covered and expansion of arable land. The explanatory power of the

2

by forest decreased by À1% while arable land increased by +4%, ANCOVA models is assessed by the R values (Table 4). Between 55

respectively. The deforestation tendency seems to be reversed and 72% of the variance in land cover change is explained by the

after 2006 in Sa Pa district. The area covered by forests increased by selected predictors. Land cover change is controlled by a

+4% while arable land decreased by À2% between 2006 and 2014. combination of biophysical and socio-economical factors. Forests

The area covered by shrubs decreased continuously between 1993 are typically better preserved in villages with poor accessibility

and 2014. A forest transition could be observed in the study area as (steep slopes, far from main roads, and poor market access), and a

a shift from a net deforestation to a net reforestation, and it low or negative population growth. The influence of environmental

occurred at the mid of the 2000s. and demographic drivers on forest cover change has previously

Fig. 3 shows the spatial pattern of land cover change between been described for other areas of frontier colonization (Castella

1993 and 2014. Most of the deforestation took place in the et al., 2005; Hietel et al., 2005; Getahun et al., 2013; Vu et al., 2013).

northern and southeastern part of the district which can be Table 4 shows that household involvement in tourism is

explained by the fact that forests in the southwestern part are negatively associated with deforestation and positively with land

mainly situated within the Hoang Lien National Park. According to abandonment. When the involvement of households in tourism

the national law, farmland expansion is forbidden within national activities increased with 10%, deforestation is predicted to have

parks. Nevertheless, some forest loss can be observed which is decreased with resp. 0.61% and land abandonment to have

probably due to forest fires and illegal logging. increased with 0.45%. Deforestation is higher in villages in the

north and southeast of Sa Pa district, that are located at greater

Description of the predictors of land cover change distance from the tourism centre. Land abandonment is mostly

observed in Sa Pa town and in the communes of Ta Phin, San Sa Ho,

Fig. 4 shows the spatial pattern of the independent variables Lao Chai, Ta Van and Ban Ho (Figs. 1 and 3). In some villages (Sa Pa

that were evaluated in this study. It is clear that Kinh people are town; Ta Chai village, belonging to Ta Phin commune; Ly Lao Chai

living in Sa Pa town, while Hmong and Ta`y ethnic groups occupy village, belonging to Lao Chai commune and Hoang Lien village,

the rural area. Hmong ethnic groups are settled on higher belonging to Ban Ho commune), more than 8% of the surface area

was abandoned between 1993 and 2014. Over the period 1995–

2009, the number of tourists in Sa Pa district has increased by 25

times (Fig. 1). Given the current economic policy, it is expected that

Table 4

The results of ANCOVA at village level (85 villages). Only the controlling factors that

are retained at a 10% significance level are listed.

LCC categories Controlling Value Standard Pr > |t| Goodness

factors deviation of fit of 2

model (R )

Deforestation SL À0.494 0.148 0.001 0.59

TOUR À0.061 0.065 0.034

POPGR 1.543 0.723 0.036

CC À0.975 1.141 0.100

a

Inside NP À4.985 1.802 0.007

Reforestation SL 0.356 0.191 0.067 0.55

a

Inside NP À6.183 2.304 0.009

Land abandonment DRIVER 0.003 0.001 0.039 0.63

TOUR 0.045 0.029 0.093

a

Inside NP À1.567 0.688 0.026

b

Ethnic-MIX 2.443 0.998 0.017

Expansion of DROAD À0.001 0.000 0.087 0.72

arable land SL À0.599 0.174 0.001

CC À3.444 1.330 0.012

a

Inside NP À3.464 2.007 0.089

b

Ethnic-H 3.693 1.737 0.037

a

Reference category is Outside NP.

b

Fig. 3. Land cover change map for the period 1993–2014. Reference category is ethnic-Y.

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northern Vietnamese Highlands. Anthropocene (2014), http://dx.doi.org/10.1016/j.ancene.2014.08.003

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Fig. 4. Spatial pattern of the independent variables: (A) percentage of households engaged in tourism, (B) surface area of cardamom cultivation per household, (C) ethnic

distribution in 2006, (D) poverty rate in 2006, (E) population growth rate in the period 1989–2006, (F) distance to Sa Pa town at pixel-level, (G) slope gradient, (H) distance to

the nearest road at pixel-level and (I) distance to the rivers at pixel-level.

the development of tourism activities will further increase in the Because of the requirement of a dense forest canopy for optimal

future (Michaud and Turner, 2006). production, the villagers not only protect the remaining old forest

The statistical results indicate that the cultivation of cardamom but also allow regeneration of some of the swidden lands in order

is negatively associated with deforestation and expansion of arable to create the necessary ecological conditions to plant and harvest

land. This means that the involvement in cardamom cultivation cardamom (Sowerwine, 2004b). Its impact on forest conservation

(under forest) slows down deforestation and expansion of is similar to the system of shade coffee cultivation in forest that

cultivated land, as cardamom plantations are not classified here also contributed to a preservation of the afromontane forests in,

as agricultural land. Cardamom production provides higher e.g., the south of Ethiopia (Getahun et al., 2013).

incomes than traditional crop farming (Sowerwine, 2004a). The role of ethnicity is complex. After controlling for biophysi-

Recently, cardamom is emerging as an important cash crop in cal and socio-economic settings, Hmong villages are characterized

northern Vietnam that requires little investment and labour but by higher expansion rates of arable land compared to Yao villages.

may offer higher income levels (Tugault-Lafleur and Turner, 2009). This can be explained by the fact that Hmong villages are more

Please cite this article in press as: Hoang, H.T.T., et al., Changing human–landscape interactions after development of tourism in the

northern Vietnamese Highlands. Anthropocene (2014), http://dx.doi.org/10.1016/j.ancene.2014.08.003

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8 H.T.T. Hoang et al. / Anthropocene xxx (2014) xxx–xxx

densely populated than Yao villages (Jadin et al., 2013) so they Symonds, 2004). This traditional labour division was challenged by

need to expand their arable land more to supply the food demand. the rapid growth of the tourism industry in Sa Pa town (Duong,

In villages with mixed ethnicities, the land abandonment rate is 2008b). As the demand for traditional handicrafts increased

higher than in Yao villages, which can be explained by the fact that strongly and trade opportunities appeared, women from ethnic

mixed ethnicities only occur in the accessible commune centres minorities engaged in these activities (Michaud and Turner, 2000).

that are more involved in off-farm activities. Today, many young female from rural villages act as trekking

The effect of preservation policy is certainly reflected in the guides, and young and old women from ethnic minorities alike sell

difference in land cover changes inside and outside the National textile commodities to tourists (Turner, 2011). Some of them have

park. The estimated coefficients for the explanatory variable become professional tour guides and are hired by hotels and travel

‘Inside NP’ are negative for all land cover change categories agencies in town, and can gain higher incomes (Duong, 2008a).

whereby the ‘Outside NP’ is taken as a reference value. This means With this extra income, they can live independently, make their

that land units with the same physical and socio-economic own money and are able to provide financial support to their

properties have lower dynamics when they are located inside the families (Duong, 2008a).

Hoang Lien National park. The development of tourism activities mainly offered new off-

farm opportunities for women from ethnic minorities, having as a

Discussion direct consequence that women are now less involved in

agricultural activities while men are more involved into household

In Vietnam, the rapid increase in forest area since the early management. As there is less labour available for agricultural

1990s resulted in a reversal of the national deforestation trend activities, cutting or clearing of trees, marginal agricultural fields

(Meyfroidt and Lambin, 2008b). The national-scale assessment with low productivity are preferentially abandoned (Fig. 5D) and

masks a wide range of other land use dynamics that exist at the deforestation is reduced. Our results suggest that the additional

local scale, and that are not necessarily conform to the trends in income from tourism is sufficiently high to exceed the added value

forest cover change at national scale. In the Sa Pa district, that can be gained from steep land agriculture or from forest

reforestation was observed at the mid of the 2000s, some years extraction. The fallowed fields will regenerate into shrubs and

later than was observed at national scale. This time point roughly secondary forests that can develop the optimal ecological

corresponds to the strong increase in number of tourists to Sa Pa conditions for cardamom cultivation. Despite the fact that it

(Fig. 1). There is a wide variety of human-induced change in forest may take up to a decade or longer before the households will

cover. Forest cover changes are different in villages that are achieve economic returns on their investment, many families

strongly involved in tourism activities. They are characterized by expect an income from cardamom for their children (Sowerwine,

significantly higher rates of land abandonment and lower rates of 2004a). Moreover, many villagers are abandoning swidden rice

deforestation. This can be explained by recent changes in labour cultivation because of increasing land constraints, lower yields,

division and income in rural households. In the traditional ethnic loss of soil fertility and lack of labour availability (Sowerwine,

society, labour was mainly divided by gender (Duong, 2008b). 2004a). Since 1991, much of this land has been declared

Traditionally, women were primarily responsible for housework, ‘‘watershed protection land’’, and swidden rice varieties are

agricultural labour and firewood collection while men were in rapidly abandoned as more time is devoted to wet rice production

charge of the heavy works such as logging, plowing, building (Sowerwine, 2004a). Because of diversification in alternative

houses and processing tools (Cooper, 1984; Sowerwine, 2004a; economic activities, rural households are becoming less depen-

Fig. 5. Major land cover types that were identified in Sa Pa district: (A) Forest, (B) Shrubs, (C) Arable land and (D) Abandoned steep farmland.

First author in 2010

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and the Vietnamese Ministry of Science & Technology (MOST)

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(Grant 42/2009/HÐ-NÐT). Patrick Meyfroidt, Isaline Jadin, Francois

national Case Study Evidence. CIACO, Louvain-la-Neuve, Belgium LUCC Report

Clapuyt have provided valuable suggestions for this research Series No. 4.

project. We are thankful to all ministries and institutions in Getahun, K., Van Rompaey, A., Van Turnhout, P., Poesen, J., 2013. Factors controlling

patterns of deforestation in moist evergreen Afromontane forests of Southwest

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district for facilitating the field data collection, and the anonymous forest area. Proc. Natl. Acad. Sci. U. S. A. 105, 818–823.

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northern Vietnamese Highlands. Anthropocene (2014), http://dx.doi.org/10.1016/j.ancene.2014.08.003