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Changing human landscape interactions after development of tourism in the northern Vietnamese Highlands

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Changing human landscape interactions after development of tourism in the northern Vietnamese Highlands tài liệu, giáo á...

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Changing human–landscape interactions after development of

Huong Thi Thu Hoanga,b,d,* , Veerle Vanackera, Anton Van Rompaeyb,

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, Hanoi, Viet Nam

d

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

Introduction

Manytropicalareasworldwidearecharacterizedbyhighrates

ofdeforestation.AccordingtoLambinandGeist(2003),one-third

ofthehumidforestinSoutheast Asiawasclearedbetween the

beginningofthetwentiethcenturyandWorldWarII.Thedecline

inforestcovercontinuedafterthe1950s.Presently,forestscover

46–48%ofthelandsurfaceinSoutheastAsia,butlessthan10%of

theprimarytropicalrainforestispreserved(FAO,2010;Dongetal.,

2012) Recentdeforestationratesforthis regionareassessedat

1.5%per year(FAO, 2006; Grainger,2008) Nevertheless,forest

dynamicsarediverse.Insomecountries,suchasthePhilippinesor Cambodia, the deforestation rate is much higher than the Southeast Asian average; while in other countries, such as Vietnam,thestart ofa foresttransitionisreported (FAO,2006; MeyfroidtandLambin,2008b) Foresttransitionisdefinedbya reversal of the trend of deforestation so that net reforestation occurs (Meyfroidt and Lambin, 2008b) Causes of tropical deforestation and forest transition are still poorly understood, andarethescopeofongoingresearchprogrammes.Deforestation andreforestationpatternsarelinkedtomultiplebiophysicaland socio-economicvariablessuchasethnicity(Castellaetal.,2005;Vu

etal.,2013),landtenure(Mottetetal.,2006),increasingdemand forfoodproduction(Zhang,2000;GeistandLambin,2001;Casse

etal.,2004;MeyfroidtandLambin,2008a),poverty(Hobbs,2001; Adamsetal.,2004;Dasguptaetal.,2005;Robinson,2006;Zwane,

2007),soilfertility(Szillassietal.,2010;Vanackeretal.,2014),and accessibility(Koning,2000;Castellaetal.,2005;Etteretal.,2006; VanDesseletal.,2008)

A R T I C L E I N F O

Article history:

Received 16 January 2014

Received in revised form 7 August 2014

Accepted 27 August 2014

Available online 6 September 2014

Keywords:

Coupled human–environmental changes

Tourism development

Ethnicity

Land use pressure

Forest transition

Northern Vietnam

A B S T R A C T

Indevelopingcountriesintropicalregions,thepoorestsegmentsoftheruralpopulationoftenrelyon forestsforsurvival.Thecreationofoff-farmjobsinthetourismsector,constructionormanufacturing hasbeensuggestedasapotentialwaytoalleviatepressureontropicalforests.UsingSaPadistrictasa casestudy,weevaluated thecouplingofhumanandforestdynamics.Thedistrictwasopenedfor internationaltourismin1993,whichhadalargeimpactondailylifeinSaPatownanditssurrounding communities.Analysisoflandcoverchangefortheperiod1993–2014,usinghigh-resolutionsatellite imagesfromthreetimeperiodsandananalysisofcovariance,detectedpossibleassociationsbetween forestcoverchangeandsocio-economic,culturalandbiophysicalvariablesatthevillagelevel.Between

1993and2006,SaPadistrictexperiencedanetdecreaseofforestinfavourofarableland,whilethis trend was reversed in the period 2006–2014 However, trends at district level mask substantial heterogeneityatvillagelevel.Resultsshowthatdeforestationisconsiderablylowerinvillagesthatare stronglyinvolvedintourismactivities Marginal agricultural fieldswithlow productivityare also preferentiallyabandoned.Becauseofdiversificationinalternativeeconomicactivities,ruralhouseholds maybecomelessdependentonnaturalresourcesandagriculturalproductsfortheirsurvival.These resultssuggestthatthecreationofoff-farmincomesourcesactivitiescanbeadriverofshiftsinhuman– environmentinteractions,asnewlivelihoodstrategiescanoffsetthepressureonforestedland

ß2014ElsevierLtd.Allrightsreserved

* Corresponding author at: 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 Tel.: +32 494694385; fax: +32 16322980.

E-mail addresses: thi.th.hoang@student.uclouvain.be ,

huonghoangbg@yahoo.com (H.T.T Hoang).

ContentslistsavailableatScienceDirect

Anthropocene

j ou rna l h ome p a ge : w ww e l se v i e r co m/ l oc a te / a nce ne

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

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

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thepopulationoftenrelyonforestsforsurvival(Tugault-Lafleur,

2007;Coulibaly-Linganiet al.,2009) Theuseofforestproducts

allowslivelihooddiversification,butmayleadtoforest

degrada-tionand/ornetdeforestationwhenitisnotcontrolled(Jadinetal.,

2013).TheVietnamesemountainareasaredominantlypopulated

byethnicminoritiesthatspeaklocallanguagesandstilladopta

traditionallivelihoodbasedonself-subsistencefarming(Foxetal.,

relativelyisolatedconditionsanddonot fullyparticipatein the

majoreconomictransformationofVietnamthatistakingplacein

thelowlands.Thelivelihoodoftheselocalpeoplestronglydepends

ontheavailablenaturalresourcesbecauseofalackof

infrastruc-ture and education that would allow them to participated in

market-orientedactivities(FrontierVietnam,1997).Duringpast

decades, the scarcity of arable land coupled with population

growthhas led to increasingpressure on forests (Burgess and

Barbier,2001).Exploitationofforestresourcesbyethnic

minori-ties,respondingtosocio-economicpressures,isgenerallythought

tobethecauseofrapidforestdegradationand/ordeforestationin

SoutheastAsia(Foxetal.,2000;GeistandLambin,2001).Studies

byJodha(1998),Ravnborg(2003),Scherr(2000)andJadinetal

(2013), however, showed that deforestation is not necessarily

associatedwithpoverty

Thecreationofoff-farmjobshasbeensuggestedasapotential

waytoalleviatepressuresontropicalforests(Mather,1992;Rudel

etal.,2005;Getahunetal.,2013;Teka-Belayetal.,2013).Off-farm

jobsareoftencreatedbyeconomicdevelopmentofurbanareas

resultingin rural–urbanmigrations (Vanegas and Henry,2012;

Vermeirenetal.,2012).Developmentoftourismactivitiesinrural

areashasalsobeensuggestedasaviablemeanstooffsetpressures

on forests (Garcı´a-Martı´nez et al.,2011; Nyaupane andPoudel,

2011) When rural households can generate additional income

fromtourismactivities,abandonmentoflow-productivefarmland

and spontaneous establishment of secondary forest on former

agriculturalplots mayresult.Dong etal (2008)supported this

hypothesisbasedon a case-studyin Lugulake(China).Joband

Paesler(2013)alsodescribedhowtheintensificationoftourismin

Wasini(Kenya)hasledtolessintensivelanduseforagricultural

purposes,eventually resultingin adecreaseoffarmlandandan

increaseoftheforestarea.Nevertheless,thishypothesishasbeen

challenged by other studies suggesting that tourism activities

stimulate deforestation and forest degradation Research by

thetourismsectordidnotdecreaseagriculturalpressureonforests

andsoilresourcesbecausehouseholdsinvestedtheirincomefrom

tourismintheexpansionofarablefieldsandincreasingfrequency

of cultivation by hiring external labour Additionally, Gaughan

etal.(2009)showedthattheincreasednumberofvisitorstothe

archaeological sites of Angkor Kwat in Cambodia accelerated

deforestationintheAngkorbasin.Thedeforestationoccurreddue

toincreasedcharcoalproductionfornewrestaurantsandhotels,

whichrequiredwoodproductsfromforests.Inthecoastalareasof

HainanIsland(SouthernChina)andthe Mediterranean(Turkey),

WangandLiu(2013)andAtiketal.(2010)respectivelyindicated

thattourismdevelopmentledtoarapidincreaseofthebuilt-uparea

Theseactivitiesresultedinadecreaseofagriculturallandandcoastal

forest,causinglandscapefragmentationandcoastalerosion

In this study, we evaluate possiblechanges in the human–

environment interactions after the development of tourism

activities Using Sa Pa district in the northern Vietnamese

Highlandsasatestcase,weaddressedthefollowingquestions:

First,howhasforestcoverchangedintheperiodbetween1993and

2014?Second,how does forest cover changerelate totourism

development?Third,whatarethelikelyimpactsofthechanging

human–landscaperelationshipsonlocallivelihoods?

Studyarea

SaPadistrictislocatedinNorthernVietnam(Fig.1)andcovers

anareaofca.680km2.Ithasatotalof55,900inhabitants(GSO,

2010)livingin17communesanditsadministrativecentre,SaPa town The district is considered as a gateway to the northern VietnameseHighlands.Thetopographyisrough,withanelevation

of180mintheMuongHoavalleyandupto3143mattheFansipan peak (highest elevation in Vietnam,locatedwithin Hoang Lien NationalPark).ThemajorriversaretheMuongHoaandTaTrung

HoRiverthatflowintheRedRivernearbyLaoCai.Theregionis characterized by a sub-tropical and temperate climate withan annualrainfallof2763mm(FrontierVietnam,1999)

SaPadistrictishometo6majorethnicgroups:theHmong,the Yao,theTa`y,theGia´y,theXaPhoandtheKinh.TheTa`yoccupied thefertilevalleysandmiddlealtitudes.Theotherethnicgroups suchastheHmongandYaoenteredNorthernVietnamonlyinthe 19thcentury(Michaudand Turner, 2006), andsettled onsteep forestedslopesgenerallyabove800m.Before1960s,therewere onlyafewKinhlowlanderslivinginSaPatownasthesurveillance andmaintenancestaffsofFrenchmilitary(MichaudandTurner,

2006).From1960sonwards,KinhmigratedtoSaPadistrictasthis wasstimulatedbytheNewEconomicZonePolicyofthenational government (Michaud and Turner, 2000, 2006) The Kinhwere mainly involved in administration, tourism, and education and settled in thedistrict’s capital, while most of theother ethnic groupspracticeddifferenttypesofsubsistenceagriculturemostly

intheformofshiftingcultivation(Tugault-Lafleur,2007).Apart from the shifting cultivation, ethnic minorities also used to cultivate opium and collect forest products for their survival

whichcouldhavecontributedtopastforestclearance.Today,the ethnicgroupscultivatewaterriceonpermanentterracedpaddy fields;maizeandothercropsonuplandfields(Leiszetal.,2004; Turner,2011).Terracedpaddyfieldswerefirstintroducedbythe HmongandYaowhomigratedfromsouthernChinatonorthern Vietnamduringthelate19thandearly20thcenturies(Michaud,

1997) Additionally, many households cultivate cardamom (Amomum aromaticum) underforest cover as a substitutecash crop,afterthebanonopiumin1992(Tugault-LafleurandTurner, 2009;Turner,2011)

Because of its scenic landscape and presence of five ethnic groupswiththeirtraditionalwayofliving,SaPaisconsideredas oneofthemostattractivetourismareasinVietnam.TheHoang Lien Mountainscomprise probably thelast remnantsof native forestofthenorthernVietnamesehighlands.Itbecameoneofthe firstareasrecognizedasa‘specialuseforest’inVietnam,anditwas convertedintotheHoangLienNationalPark(HLNP)inJuly2002 followingthePrimeMinister’sDecision90/2002/QD-TTgtoprotect biodiversity bypreservingthesubtropical and temperateforest ecosystems(Le,2004;Jadinetal.,2013).AlreadyundertheFrench Regime(1887–1940),SaPadistrictwasawell-knownholidayand relaxationresort(MichaudandTurner,2006).NorthernVietnam sufferedalotunderthefirstIndochinawar(1945–1954).Thetown sunkintooblivion,asalargepartofthepopulationofSaPatown fledawayfromthehostilities.Intheearly1960s,intheframework

of the New Economic Zones Policy, migration schemes were designed by the new socialist regime that stimulated the Vietnamese Kinh from the lowlands to populate the northern VietnameseHighlands(Hardy,2005).Thedecisionofthenational governmenttoopenSaPadistrictforinternationaltourismin1993 hadalargeimpactondailylifeinSaPatownanditssurrounding communities.Thenumberofdomesticandinternationalvisitors increasedexponentiallyfrom16,100in1995to405,000in2009 (GSO,1995, 2010)(Fig.1 Tourism isnow themostimportant economic activity in the area, and it generated 58% of Sa Pa

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decreasedgraduallyfrom36%in2000to21%in2009(GSO,2000,

2010) Local inhabitants that potentially benefit from tourism

activitiesarehotelandrestaurantownersandshopkeepersinSaPa

town;tourguides,traditionalcraftsellersfromtheruralvillages

and farming households that offer rooms for homestays The

tourism infrastructure is dominantly controlled by the Kinh

majority,whiletheotherminoritiesmainlydeliverlabourforce

torunthetourismindustry

Materialsandmethods

Mappinglandcoverandlandcoverchanges

Inordertoevaluatethepotentialimpactoftourismactivitieson

forestcoverinSaPa,threelandcovermapswerecompiledbased

on LANDSAT images available from the U.S Geological Survey

archives (http://glovis.usgs.gov) One LANDSAT-patch(path/row

128/45)coversthewholeSaPadistrictwitharesolutionof30mby

30m.The LandsatimagesdatefromFeb1,1993(just afterthe

opening for international tourism), Nov 4, 2006 (midst of the

evaluation period)and Jan02, 2014 (currentstate) All images

weretakeninthepost-harvestperiodwhenthearablefieldsare

bare.AllLandsatimagesinthefreelyavailableUSGSarchiveare

orthorectified with precision terrain correction level L1T

(Vanonckelen et al., 2013) All images were then corrected for

atmosphericandtopographiceffectsusingtheMODTRAN-4code

and the semi-empirical topographic correction implemented

in ATCOR2/3 (Richter, 2011; Balthazar et al., 2012) Then, a supervisedmaximumlikelihoodclassificationwascarriedoutto mapthefollowing5landcovercategories(Fig.2):forest,shrub, arableland,waterbodyandurbanarea.Spectralsignaturesforthe differentlandcovertypeswereidentifiedbydelineatingtraining areasonthebasisoffieldworkcarriedoutin2010(Fig.5

Theaccuracyofthelandcovermapswasassessedbycomparing theclassifiedlandcoverwithvisualinterpretationsofveryhigh resolution remote sensing data For 1993,the comparison was done withaerial photographs(MONRE, 1993);for 2006witha VHR-SPOT4image(MONRE,2006)andfor2014withaVHR-SPOT5 image(MONRE,2012).Randomsamplingofvalidationpointswas donewithn=219forthe1993map,n=315forthe2006map,and

n=306forthe2014map.Thenumberofsamplepointsperland coverclassvariedfrom3to111,dependingonthearealcoverof theclasses.Forallrandomlyselectedpoints,thelandcoverwas comparedwiththeclassifiedlandcover.Thiscomparisonallowed

to assess the overall accuracy, quantity disagreement and allocationdisagreement(in%)followingtheproceduresdescribed

byPontiusandMillones(2011)

In order to analyze land cover change trajectories over 3 timeperiods,thechangetrajectoriesweregroupedin6classes:(1) deforestation(changefromanyclassofforesttonon-forest),(2) reforestation(change fromnon-forest toforest),(3) land aban-donment(change fromagriculturalland toshrub orforest),(4) expansionofarableland(conversionfromshrubtoarableland),(5)

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

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otherchanges,and (6)nochange(Table1 Theoriginalclasses

‘waterbody’and‘urbanarea’thatonlyoccupyaminorfractionof

thelandwerenottakenintoconsideration.Amajorchallengein

mappinglandcover changeisthedetectionof permanentland

abandonmentinshiftingcultivationsystemsinwhich fieldsare

regularly taken out of production for a short time span only

Therefore in this study we defined land abandonment as a

transition fromagricultural land (observedin 1993)to natural

regrowthofshrub(observedin2006)onconditionthattheparcel

wasnottakenagaininproductionin2014.Pixelswithobserved

transitionssuchasA-A-SandA-A-F(Table1)ofwhichitisnotsure

that they are permanently abandoned were classified into the

group‘Otherchange’

Analysisofthecontrolsonlandcoverchangepatterns

Inordertounderstandtheobservedlandcoverchangepatterns,

socio-economicandbiophysicaldatawerecollectedatthelevelof

villages.InSaPadistrict,themajorityoftheethnicgroupslivesin

ethnicallyhomogeneousvillages(ba:northoˆninVietnamese).Only

4ofthe85villagesareinhabitedbymultipleethnicgroups,and

theyaretypicallylocatedinthecommune(xa˜)centres.Therefore,

thevillagelevelisconsidered asthemostdetailedandrelevant

scale levelfor theanalysis of human–environmentinteractions

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.

Table 1 Land cover change trajectories and their descriptions for period 1993–2014 Order Land cover change Category Change trajectory

1993 2006 2014

1 Deforestation F-F-A Forest Forest Arable land

F-F-S Forest Forest Shrubs F-A-A Forest Arable land Arable land F-A-S Forest Arable land Shrubs F-S-A Forest Shrubs Arable land F-S-S Forest Shrubs Shrubs

2 Reforestation A-F-F Arable land Forest Forest

S-F-F Shrubs Forest Forest S-S-F Shrubs Shrubs Forest

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

A-S-F Arable land Shrubs Forest

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

S-A-A Shrubs Arable land Arable land S-F-A Shrubs Forest Arable land

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

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

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

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not officially delineated because the commune is the lowest

administrativeunit(Castellaetal., 2005) Therefore, thevillage

boundaries(n=85)inSaPadistrictweredelineatedbymeansof

participatory mapping following the procedure described by

Castella et al (2005) and Meyfroidt (2009) Cadastral officers

wereoffereda1/10.000scalecolourprintofthe2006VHR-SPOT4

image(printedintruecolours,5mresolution)andwereaskedto

drawthevillagebordersonatransparentsheetontop

Tables 2 and3 showall thevariables that werecollected at

the village level Socio-economic variables were derived from

theyearbook of 1989 and 2006, and from the Vietnam Rural,

Agricultural, and FisheryCensus conducted in 2006 under the

leadershipoftheDepartmentofAgriculture,ForestryandFishery

StatisticsandtheGeneralStatisticsOfficewithsupportfromthe

WorldBank.Theoriginalcensusdataavailableathouseholdlevel

wereaggregatedtovillagelevel,andthefollowingvariableswere

calculated:thepercentageofhouseholdsinvolvedintourism(%),

theethnicgroup(categorical),thepopulationgrowthrate(%/year),

thepovertyrateexpressedaspercentageofhouseholdsunderthe

nationalpovertythresholdof2400,000VND/person/yearandthe

involvementincardamomcultivation(ha/household)(Table3 In

ordertoevaluatethepotentialeffectofthelandusepolicyinside

and outside the National park, one more categorical variable

(inside/outsidethepark)wastakenintoaccounttoexaminethe

effect of public policy Six biophysical variables were firstly

collectedatpixel level(3030m): theelevation(m abovesea

level),theslopegradient(degree),thedistancetomainroad(m),

thedistancetorivers(m),thedistance toSaPa town(m), the

distance to nearest market (m) and were then aggregated to

villageleveltomatchwiththescaleofsocio-economicvariables

(Table3

Multiple regression analysis using ANCOVA (analysis of covariance) was performed to detect possible associations betweenlandcoverchange,andsocio-economicandbiophysical variablesatthelevelofindividualvillageswhichcanconsideredas homogeneousunitsintermsofethnicity,livelihoodand biophysi-cal setting ANCOVA is a widelyappliedtechnique asit allows evaluatingthecombinedeffectofarangeofbothcategoricaland numericalpredictors(ManeeshaandBajpai,2013).ANCOVAwas performed for each one of the four land cover change types (deforestation,reforestation,landabandonment,andexpansion

of arable land) as the dependent variable A multicollinearity testwascarriedout todetect correlationbetweenexplanatory variables Multicollinearity diagnostics were performed by calculatingtheVariationInflationFactors(VIF)andtheTolerance (TOL).Inthisstudy,variableswithVIFgreaterthan2 andTOL less than 0.6 are excluded from the analyses as proposed by

Allison(1999).Thefinalmodelsincludedethnicityandeffectof preservation as categoricalvariables; engagement in tourism, cardamom cultivation, poverty rate,population growth, slope, distancetorivers, distancetomainroadanddistancetoSaPa townasnumericalvariables(Table3).ANCOVAmodelparameters were estimated using XLSTAT software, and the explanatory poweroftheANCOVAmodelswasassessedbytheGoodnessoffit statistics,R2

Results Landcoverchangepatterns

Fig.2showsthelandcovermapsfortheyears1993,2006and

2014 Theoverall accuracy of theland cover classification was assessedat80.0%,86.4%and84.6%(quantitydisagreementof5.0%,

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,

and Fishery Census conducted in 2006 with the support of the World Bank ( GSO, 2006b )

Y Yao

T Ta`y

G Gia´y

XP Xa Pho MIX Mixed ethnic groups Poverty Rate PR The percentage of households under the poverty level

of Vietnam in 2006

Numerical % 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

published by Ministry of Natural Resources and Environment at the scale 1:50,000 ( MONRE, 2009 )

Outside NP The villages are located outside the National park Elevation EL Average elevation calculated at pixel-level Numerical m

Slope SL Average slope calculated at pixel-level Numerical Degree

Distance to roads DROAD Average of the distance to main roads calculated at pixel-level Numerical m

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

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

by the surface area of the village and multiply by 100

Numerical % Landsat images 1993,

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

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thelandcovermapsof1993,2006and2014,respectively

ThelandcoverpatterninSaPadistrictisstronglydetermined

bythetopography.Valleysaregenerallycultivated.Steepslopes

and mountain peaks are predominantly covered by forests or

shrubs Patches of forest are concentrated on the Hoang Lien

mountainrangeinthesouthernpartofSaPadistrict,andarealso

foundonremotesteepslopes.Shrubsarewidelydistributed,and

canbefoundinvalleys,mountainpeaksoronsteepslopes

Between1993and2014,theoverallareacoveredbyforestand

arable land increasedslightly (with respectively +3% and +2%)

whileshrubsdecreasedwith 5%(Fig.2D).However,landcover

changesarenotlinearinSaPadistrict,andthereexistsubstantial

temporal differences During the first period (1993–2006), the

study area experienced a general trend of deforestation for

expansionofarableland.Between1993and2006theareacovered

byforestdecreasedby 1%whilearable landincreasedby+4%,

respectively The deforestation tendency seems to be reversed

after2006inSaPadistrict.Theareacoveredbyforestsincreasedby

+4%whilearablelanddecreasedby 2%between2006and2014

Theareacoveredbyshrubsdecreasedcontinuouslybetween1993

and2014.Aforesttransitioncouldbeobservedinthestudyareaas

a shift from a net deforestation to a net reforestation, and it

occurredatthemidofthe2000s

Fig.3showsthespatialpatternoflandcoverchangebetween

1993 and 2014 Most of the deforestation took place in the

northern and southeastern part of the district which can be

explainedby thefact that forestsin thesouthwestern partare

mainlysituatedwithintheHoangLienNationalPark.Accordingto

thenationallaw,farmlandexpansionisforbiddenwithinnational

parks Nevertheless,someforestloss canbe observedwhich is

probablyduetoforestfiresandillegallogging

Descriptionofthepredictorsoflandcoverchange

Fig.4showsthespatialpatternoftheindependentvariables

thatwereevaluatedinthisstudy.ItisclearthatKinhpeopleare

livinginSaPatown,whileHmongandTa`yethnicgroupsoccupy

the rural area Hmong ethnic groups are settled on higher

elevations,andTa`yaregenerallysettlednearbytheriversinthe valleys.ThevillagesoftheYaoaresituatedintheperipheralareas

in thenorthand southofSaPa district.Fig.4Ashows thatthe householdinvolvementintourismishighestinSaPatown(>50%) Involvementintourismintheperipheralareasisrestrictedtoafew isolatedvillages.ThepovertyratemapshowsthatthetownofSa

Paanditssurroundingvillagesarericherthanthemoreperipheral areas.Thesouthernpartofthedistrictisalsoricherbecausemany local households receive anadditional income from cardamom cultivationunderforest.Cardamomismainlygrownundertreesof theHoangLienNationalParkinthesouthernpartofthedistrict Thepopulationgrowthispositiveinthewholedistrictandhighest

inSaPatownanditsimmediatesurroundings

Table4showstheresultsoftheANCOVAanalysisforfourland covertrajectories:deforestation,reforestation,landabandonment and expansion of arable land The explanatory power of the ANCOVAmodelsisassessedbytheR2values(Table4 Between55 and72%ofthevarianceinlandcoverchangeisexplainedbythe selected predictors Land cover change is controlled by a combinationofbiophysicalandsocio-economicalfactors.Forests aretypically betterpreservedin villageswithpooraccessibility (steepslopes,farfrommainroads,andpoormarketaccess),anda lowornegativepopulationgrowth.Theinfluenceofenvironmental and demographicdriverson forestcoverchangehaspreviously beendescribed forotherareas offrontiercolonization(Castella

etal.,2005;Hieteletal.,2005;Getahunetal.,2013;Vuetal.,2013)

negativelyassociatedwithdeforestationandpositivelywithland abandonment.When theinvolvement ofhouseholdsin tourism activitiesincreasedwith10%,deforestationis predictedtohave decreased with resp 0.61% and land abandonment to have increased with0.45% Deforestationis higher in villages in the northandsoutheastofSaPa district,thatarelocatedatgreater distancefromthetourism centre.Landabandonmentis mostly observedinSaPatownandinthecommunesofTaPhin,SanSaHo, LaoChai,TaVanandBanHo(Figs.1and3 Insomevillages(SaPa town;TaChaivillage,belongingtoTaPhincommune;LyLaoChai village, belongingtoLaoChaicommuneandHoangLienvillage, belongingtoBanHocommune),morethan8%ofthesurfacearea wasabandonedbetween1993and2014.Overtheperiod1995–

2009,thenumberoftouristsinSaPadistricthasincreasedby25 times(Fig.1 Giventhecurrenteconomicpolicy,itisexpectedthat

Fig 3 Land cover change map for the period 1993–2014.

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

factors

Value Standard deviation

Pr > |t| Goodness

of fit of model (R 2 ) Deforestation SL 0.494 0.148 0.001 0.59

TOUR 0.061 0.065 0.034 POPGR 1.543 0.723 0.036

CC 0.975 1.141 0.100 Inside NP a

4.985 1.802 0.007 Reforestation SL 0.356 0.191 0.067 0.55

Inside NP a 6.183 2.304 0.009 Land abandonment DRIVER 0.003 0.001 0.039 0.63

TOUR 0.045 0.029 0.093 Inside NP a

1.567 0.688 0.026 Ethnic-MIX b

2.443 0.998 0.017 Expansion of

arable land

DROAD 0.001 0.000 0.087 0.72

SL 0.599 0.174 0.001

CC 3.444 1.330 0.012 Inside NP a 3.464 2.007 0.089 Ethnic-H b

3.693 1.737 0.037

a

Reference category is Outside NP.

b

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future(MichaudandTurner,2006)

Thestatisticalresultsindicatethatthecultivationofcardamom

isnegativelyassociatedwithdeforestationandexpansionofarable

land.Thismeansthattheinvolvementincardamomcultivation

(under forest) slows down deforestation and expansion of

cultivatedland,ascardamomplantationsarenotclassifiedhere

as agricultural land Cardamom production provides higher

incomes than traditional crop farming (Sowerwine, 2004a)

Recently, cardamom is emerging as an important cash crop in

northernVietnamthatrequireslittleinvestmentandlabourbut

mayofferhigherincomelevels(Tugault-LafleurandTurner,2009)

Becauseoftherequirementofadenseforestcanopyforoptimal production,thevillagersnotonlyprotecttheremainingoldforest butalsoallowregenerationofsomeoftheswiddenlandsinorder

tocreatethenecessaryecologicalconditionstoplantandharvest cardamom(Sowerwine,2004b).Itsimpactonforestconservation

issimilartothesystemofshadecoffeecultivationinforestthat alsocontributedtoapreservationoftheafromontaneforestsin, e.g.,thesouthofEthiopia(Getahunetal.,2013)

Theroleofethnicityiscomplex.Aftercontrollingfor biophysi-calandsocio-economicsettings,Hmongvillagesarecharacterized

byhigherexpansionratesofarablelandcomparedtoYaovillages ThiscanbeexplainedbythefactthatHmongvillagesaremore

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.

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denselypopulatedthanYao villages(Jadinetal., 2013)sothey

needtoexpandtheirarablelandmoretosupplythefooddemand

Invillageswithmixedethnicities,thelandabandonmentrateis

higherthaninYaovillages,whichcanbeexplainedbythefactthat

mixedethnicitiesonlyoccurintheaccessiblecommunecentres

thataremoreinvolvedinoff-farmactivities

Theeffectof preservationpolicyis certainly reflectedin the

differenceinlandcoverchangesinsideandoutsidetheNational

park The estimated coefficients for the explanatory variable

‘Inside NP’ are negative for all land cover change categories

wherebythe‘OutsideNP’istakenasareferencevalue.Thismeans

that land units with the same physical and socio-economic

propertieshavelowerdynamicswhentheyarelocatedinsidethe

HoangLienNationalpark

Discussion

In Vietnam,therapidincrease in forestarea since theearly

1990s resultedina reversalof thenationaldeforestationtrend

(Meyfroidt and Lambin, 2008b) The national-scale assessment

masksawiderangeofotherlandusedynamicsthatexistatthe

localscale,andthatarenotnecessarilyconformtothetrendsin

forest cover change at national scale In the Sa Pa district,

reforestationwasobservedatthemidofthe2000s,someyears

laterthanwasobservedatnationalscale.Thistimepointroughly

correspondstothestrongincreaseinnumberoftouriststoSaPa

(Fig.1 Thereisawidevarietyofhuman-inducedchangeinforest

cover Forest cover changes are different in villages that are

stronglyinvolvedintourismactivities.Theyarecharacterizedby

significantlyhigherratesoflandabandonmentandlowerratesof

deforestation.Thiscanbeexplainedbyrecentchangesinlabour

divisionandincomeinruralhouseholds.Inthetraditionalethnic

society, labour was mainly divided by gender (Duong, 2008b)

Traditionally,womenwereprimarilyresponsibleforhousework,

agriculturallabour and firewood collectionwhile men werein

charge of the heavy works such as logging, plowing, building

housesand processingtools (Cooper,1984; Sowerwine, 2004a;

Symonds,2004).Thistraditionallabourdivisionwaschallengedby therapidgrowthofthetourismindustryinSaPatown(Duong,

strongly and tradeopportunitiesappeared,women fromethnic minoritiesengagedintheseactivities(MichaudandTurner,2000) Today, many young female from rural villages act as trekking guides,andyoungandoldwomenfromethnicminoritiesalikesell textilecommoditiestotourists(Turner,2011).Someofthemhave becomeprofessionaltourguidesandarehiredbyhotelsandtravel agenciesin town,and cangainhigherincomes(Duong,2008a) Withthisextraincome,theycanliveindependently,maketheir own money and are able to provide financial support totheir families(Duong,2008a)

Thedevelopmentoftourismactivitiesmainlyofferednew off-farmopportunitiesforwomenfromethnicminorities,havingasa direct consequence that women are now less involved in agriculturalactivitieswhilemenaremoreinvolvedintohousehold management As there is less labour available for agricultural activities,cuttingorclearingoftrees,marginalagriculturalfields withlowproductivityarepreferentiallyabandoned(Fig.5D)and deforestationisreduced.Our resultssuggestthattheadditional incomefromtourismissufficientlyhightoexceedtheaddedvalue that can be gained fromsteep land agriculture or from forest extraction The fallowedfields will regenerate into shrubs and secondary forests that can develop the optimal ecological conditions for cardamom cultivation Despite the fact that it may takeuptoa decadeor longerbefore thehouseholds will achieve economic returns ontheir investment, manyfamilies expectanincomefromcardamomfortheirchildren(Sowerwine,

cultivationbecauseofincreasinglandconstraints,loweryields, loss ofsoilfertilityandlackof labouravailability(Sowerwine,

‘‘watershed protection land’’, and swidden rice varieties are rapidlyabandonedasmoretimeisdevotedtowetriceproduction (Sowerwine, 2004a) Because of diversification in alternative economicactivities,ruralhouseholdsarebecomingless

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.

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reduced

Thisdecreaseinlandpressureaftertourismdevelopmentisnot

confirmed by previous studies in Southeast Asia, where the

presence of alternative income sources has increased the

frequency of cultivation through hired rural labour and/or the

expansionofthecultivatedareathroughlandpurchase(e.g.,Forsyth

(1995)fornorthernThailand).Thissuggeststhatlocalandnational

landusepolicylikelyplaysanimportantroleindirectingtourism

developmenttowardssustainablenaturalresourcemanagement.In

Sa Pa, conservation policy has had a positive effect on forest

protectionasmostoftheforestswithintheNationalparkremained

intactduringlastthe21years.Thismakestheareaattractivefor

tourists,andtouristsarefurthersupportingbiodiversity

conserva-tionbyprovidingextrarevenueforconservation.Directrevenueis

presentlybeingraisedbytheHamRongproject,andbythecharging

offeesforclimbingFansipanmountainorvisitingexclusivesites

withinSaPadistrict(FrontierVietnam,1999)

Conclusions

This paper aimed at better understanding of the human–

environmentinteractionintheSaPadistrictaftertheadventand

growth of the tourism industry A land cover change analysis

between1993and2014showedthattheSaPadistrictasawhole

experienceda foresttransition,withanobserved turningpoint

around mid 2000s However, trends at district level mask

substantialheterogeneity at villagelevel The resultsfrom this

papershowthatforestcoverchangesaredifferentinruralvillages

that have access to alternative income sources, either from

cardamom cultivation under forest canopy or from tourism

activities.Theseruralvillagesaretypicallycharacterizedbyhigher

ratesoflandabandonmentandlowerratesofdeforestation.Because

ofdiversificationinalternativeeconomicactivities,ruralhouseholds

arebecominglessdependentonnaturalresourcesandagricultural

productsfortheirsurvival.Ourresultssuggestthatthecreationof

off-farmjobsinthetourismsector,constructionormanufacturing

canbeadriverofshiftsincoupledhuman–environmentalchanges

Thetourismactivitiesin SaPacantherefore beconsideredasa

specialpathwaytowardsaforesttransitionwherebythegeneration

ofoff-farmjobshasapositiveimpactonforestconservation.Inour

view,themainchallengeistofinda balancebetweentherapid

development of tourism activities and the preservation of the

authenticsocio-culturalelementsoftheethnicminoritiesthatmake

theareaattractivefortouristsinthefirstplace

Acknowledgements

This researchwas part of the bilateralscientific project on

‘Land-usechangeunderimpactofsocio-economic development

anditsimplicationsonenvironmentalservicesinVietnam’funded

bytheBelgianSciencePolicy(BELSPO)(GrantSPPPSBL/10/V26)

and the Vietnamese Ministry of Science & Technology (MOST)

(Grant42/2009/HÐ-NÐT).PatrickMeyfroidt,IsalineJadin,Francois

Clapuyt have provided valuable suggestions for this research

project We are thankful to all ministries and institutions in

Vietnam which provided the necessary data to undertake this

research.WealsothankvillageleadersandlocalpeopleinSaPa

districtforfacilitatingthefielddatacollection,andtheanonymous

reviewersfortheirvaluableinput

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