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A

conceptual

framework

for

analysing

and

measuring

land-use

intensity

Karl-Heinz

Erb

1

,

Helmut

Haberl

1

,

Martin

Rudbeck

Jepsen

2

,

Tobias

Kuemmerle

3,4

,

Marcus

Lindner

5

,

Daniel

Mu¨ller

3,6

,

Peter

H

Verburg

7

and

Anette

Reenberg

2

Largeknowledgegapscurrentlyexistthatlimitourabilityto

understandandcharacterisedynamicsandpatternsofland-use

intensity:inparticular,acomprehensiveconceptualframework

andasystemofmeasurementarelacking.Thissituation

hampersthedevelopmentofasoundunderstandingofthe

mechanisms,determinants,andconstraintsunderlyingchanges

inland-useintensity.Onthebasisofareviewofapproachesfor

studyingland-useintensity,weproposeaconceptualframework

toquantifyandanalyseland-useintensity.Thisframework

integratesthreedimensions:(a)inputintensity,(b)output

intensity,and(c)theassociatedsystem-levelimpactsof

land-basedproduction(e.g.changesincarbonstorageor

biodiversity).Thesystematicdevelopmentofindicatorsacross

thesedimensionswouldprovideopportunitiesforthesystematic

analysesofthetrade-offs,synergiesandopportunitycostsof

land-useintensificationstrategies.

Addresses

1InstituteofSocialEcologyVienna(SEC),Alpen-AdriaUniversity Klagenfurt,Wien,Graz,Schottenfeldgasse29,1070Vienna,Austria 2Department of Geography and Geology, University of Copenhagen, Oster Voldgade 10, 1350 Copenhagen, Denmark

3

DepartmentofGeography,Humboldt-Universita¨tzuBerlin,Unterden Linden6,10099Berlin,Germany

4PotsdamInstituteforClimateImpactResearch(PIK),EarthSystem Analysis, Telegraphenberg A 31, 14473 Potsdam, Germany 5European Forest Institute, Torikatu 34, 80100 Joensuu, Finland 6

LeibnizInstituteforAgriculturalDevelopmentinCentralandEastern Europe(IAMO),Theodor-Lieser-Str.2,06120Halle(Saale),Germany 7InstituteforEnvironmentalSciences,VUUniversityAmsterdam,De Boelelaan 1087, 1081 HV Amsterdam, The Netherlands

Correspondingauthor:Erb,Karl-Heinz([email protected])

CurrentOpinioninEnvironmentalSustainability2013,5:464–470 ThisreviewcomesfromathemedissueonHumansettlementsand industrialsystems

EditedbyPeterHVerburg,OleMertz,Karl-HeinzErbandGiovana Espindola

ForacompleteoverviewseetheIssueandtheEditorial

Availableonline21stAugust2013

1877-3435#2013TheAuthors.Publishedby ElsevierB.V.

http://dx.doi.org/10.1016/j.cosust.2013.07.010

Introduction

Future growthin thehuman population and GDP will

increasethedemandforfood,fibreandfueloverthenext

decades [1,2,3]. Most of the related growth in

land-basedproductionwillhavetorelyonincreasesofoutput

perunitareainagricultureandforestryratherthanonthe

expansionoflanduse:weinhabitaworldinwhichmostof

thefertile landisalreadyusedandonlyonefifth ofthe

global ice-free surface remains largely untouched by

humans[4,5].Thereis an urgingmandateto safeguard

theseremainingundisturbedecosystems,whichareoften

richincarbonandbiodiversity[6].Suchincreasedoutput

on currently used land is commonly described by the

broadly accepted, but ambiguously defined, notion of

‘land-useintensification’.

In the last centuries, increases in agricultural output

without the proportional expansion of agricultural land

were possible because additional inputs in terms of

labour, energy, fertiliser and water were available [7].

However, many of the current techniques of yield

enhancementareassociatedwithfar-reaching,detrimental

ecologicalandsocialeffects[8–10].Thissituationrenders

an explicit valuation of the benefits and trade-offs of

land-useintensificationimportantandcallsforinnovative

ways of measuringand assessingintensification[3,11].

Thedevelopmentofanoperational,consistentmonitoring

systemisparticularlyimportantfor designingpoliciesto

foster sustainable increases in land-based production

[12,13].

Thescientificunderstandingofland-usechange,however,

is still insufficient to characterise the conditions under

which such a ‘sustainable intensification’ [3,14] can

andwilloccur.Manyknowledgegapsrelatetothe

under-lyingprocessesanddeterminantsofthelevels,patternsand

dynamicsofland-useintensity.First,welackacommonly

shared definition and terminology [15,16]. Second,the

casual use of the term ‘intensification’ in the scientific

literature, often used synonymously with the complex

changesrelatedtoagriculturalindustrialisationprocesses

(suchasthoseduringthe‘greenrevolution’)orwithany

detrimental socio-ecological effects of landuse, further

addstotheambiguity.Third,traditionalapproachesoften

onlyexamineone ora fewaspects ofland-use intensity

whiledisregardingthemultidimensionalityofthe

intensi-ficationprocess in the complexlandsystem [6,17].For

(2)

example,simplified,monodimensionalhypotheseson

la-nd-useintensification, for example, onthe

interrelation-shipbetweenagriculturalintensificationandareademand,

though initiallyhighlyintuitive,cannotbesubstantiated

whenevaluatedagainstempiricaldata[18,19].

Accord-ingly,simplecausalrelationshipsbetweentheindividual

processes,driversandimpactsofland-useintensification

couldnotbeestablished[20].

Wearguethatimprovementsinthescientific

understand-ingoflanduserequiretwo,interrelatedsteps:(1)

develop-ing an integrative framework for the analysis of

land-use intensity, and(2) generating datasetsthat allowthe

systematicstudyofdriversaswellasimpactsofchangesin

land-useintensity.Here,we brieflyreviewthemost

import-ant scientific approaches concerned with the processes,

drivers andconsequences of land-use intensitychanges.

Building on thisbody of knowledge, we summarise the

differentdimensionsofland-useintensityandsystematise

theimplicitlyorexplicitlyproposedindicatorsfor

measur-ing land-use intensity. Lastly, we proposean integrated

conceptualframeworkforanalysisaimedatfacilitatingthe

developmentofdatasetsforland-useintensityresearch.

Themes

and

topics

in

land-use

intensity

research

Researchhasbeenfocussingondifferentaspectsof

land-use intensity which can be grouped into four general

themes (see supporting online information). (a) The

(agricultural)economistperspective,rootedinthe

semi-nal works by the‘classic’ economistsT.R. Malthus, D.

Ricardo and J.H. von Thu¨nen, focusses on the

inter-relation between input factors (land, labour or capital)

and outputs (produce) from land, mostly in monetary

terms, often entailing arationalchoice (utility

optimis-ation)perspective.(b)Anotherprominentthemefocusses

ondriversofagriculturalchange,inparticulartechnology

andpopulationgrowth.Thisthemegainedimpetusafter

the1960swiththeinfluentialrebuttalofE.Boserup[21]

totheMalthusianviewontheinterrelationofpopulation

changeandtechnology,andisstillvividinhuman

geogra-phy,ecologicalanthropologyandpoliticalecology,witha

strong focus on pre-industrial agriculture. (c) A further

prominent research strandfocussesonpotentially

detri-mental ecological consequences of land-use

intensifica-tion, including livestock systems [22], in particular on

climate and biodiversity, or on essential but

non-mar-ketedecosystemservices([23],SIformorereferences).

Inthelightofemergingnewdemandsforlandproducts

(e.g. bioenergy),the (d)systemic interrelation between

intensification and land expansion (the so-called

land-sparing vs.land-sharing debate) (seee.g. Grau etal.,in

this issue, SI for more references) is another leading

themeof land-useintensityresearch.

Despite their differences in focus, scope and attention

(see SI), a few commonalities among these different

strandsof land-useintensityresearch canbeidentified.

First, afocusonagriculture,particularlycropland,

pre-vails,whereasothercomponentsofthelandsystem(e.g.

urban,forestry)aremostlyneglected.Second,

unconven-tionalmanagementpractices(e.g.fertilisationof

inten-sively managed forests; [24]) and land-system

interrelations (e.g. urban-hinterland linkages; Seto

et al., in this issue; Meyfroidt et al., in this issue) are

largely ignored. Third, monodimensional indicators,

mostly agricultural yieldsorfertiliserapplication rates,

oradata-drivendevelopment ofindicesfrom the

com-binationofinputandoutputdatadominate.Lastly,the

stringencyofeconomicapproaches,whichsystematically

analyse input-output relationships, is onlyrarely

repli-cated in non-economic strands of land-use intensity

research [25]. Additionally, systemic interrelationships

betweenproduction and consumption,such as

supply-demandlinkages,orreboundeffects,arerarelytakeninto

accountinnaturalscience-basedapproaches.Incontrast,

economic approaches rarely consider biophysical

con-straints or the effects of intensification on non-valued

ecosystem services or on biodiversity. Overcoming

theseshortcomingsbydevelopinganintegrated

frame-workofanalysisappearstimely.Inthefollowingsection,

wewillreviewandsystematisetheproposedmeasuresof

land-useintensitytoidentifythecornerstonesofsucha

framework.

Dimensions

of

land-use

intensity

Given thecomplexityofland-useintensity, providinga

single, unambiguous and encompassing definition or

indicatorof land-useintensitydoesnotappear to bean

adequatetarget.Acomprehensiveanalyticalframeworkis

required that considers the multidimensional nature of

land-useintensity.Asynthesisofthedimensionsof

land-use intensity and proposed methods to measure them

(Table1,seealsoTableS1intheSupplementaryOnline

Information)allowsidentificationofthecoreelementsof

suchacomprehensiveframeworkandneedstomeasure

the(a)inputstotheproductionsystem,(b)outputsfrom

the production system, and (c) changes in ecosystem

properties.

Measuring

input

intensification

Traditionalapproachestomeasureinputintensitycanbe

groupedintofourcategories.(a)Apivotalinputindicator

that inspired many authors is provided by Boserup

[21,54].She definesthe intensificationof agriculture as

the increasing frequency of cropping cycles in shifting

cultivation systems, that is,increasing inputsof land to

theproductionsystem.Thisnotionofcroppingfrequency

for measuring land-use intensityis based onthe

obser-vation that,under pre-industrial conditions, the annual

crop yieldofaparcel ofland canscarcely beenhanced,

thus only anincreased croppingfrequencycanincrease

production. Similarly, rotation length is an important

(3)

wasfurtherdevelopedbymanyauthors,forexample,by

proposing indicators that consider the differences in

fallow and cropping period (e.g. [26,28]). (b) Cropping

frequency is often complemented by information on

appliedtechnologytoprovideindicatorsofawider

appli-cability [15,27,32]. In such approaches, technologies

under use are ranked according to their intensity and

combined with indices for cropping frequency, an

approach criticised due to the pronenessto tautologies

[55]. (c) The definition by Brookfield [35] places the

substitution of capital,labour,and skills againstland at

thecentre of attention of land-useintensity research,a

definitionfollowedbymanyscholarssince(see,e.g.[25]),

whichisstimulatingforthedevelopmentofindicesbased

on combinations of input data. (d) In contrast to this

approach,manyauthors usesingle productionfactorsas

surrogate indicators for input intensification, including

the amount of N fertiliser or pesticide applied (e.g.

[40,41]).Althoughstudiesofthistypeareabletocapture

some central aspects of intensification, they cannot

accountforsubstitutioneffects(e.g.changesfrommineral

fertilisers to manure) or transitions to resource-sparing,

intensivehigh-techapplications(e.g.precisionfarming).

Arelatedapproach isthegenerationof indicesby

com-bininginputdatasets, sometimes alsowith output data,

suchas theyieldofthedominatingcultivarsorstocking

densityof livestock(e.g. [48]).

Measuring

output

intensification

TurnerandDoolittle[32]andHunt[56]arguethatoutput

indicators would ultimately provide better indicators of

land-useintensitybecausetheyrepresentthepurposeof

agriculture. Netting [25] and Shriar [15] also favour

measuring output intensity, as no presumptions about

the efficiency of inputs on productivity are made. In

biophysical terms, output intensification relates to the

increases in production output per unit area and time

(e.g.tons of cereals harvested, milkproduced or timber

removedfromforestsperunitareaandtimeperiod).

Many intricacies relate to the measurement of output

intensity,referringto(a)theunitofmeasurement(e.g.in

mass,energy,calorificvalue,monetaryvalueperarea)and

(b)themethodologyusedtomeasureoutputconsistently

[56].Because many land systemsare rotational, thatis,

fields are periodically left fallow to maintain the soil

fertility, itis important to relatetheoutputs to thefull

production cycle to generate comparable values. Such

data, however, are usually not readily available or are

highlyuncertain([16,30],Kuemmerleetal.,inthisissue).

Thelargevariationinyieldresultingfromdifferencesin

theclimate, soilconditionsor management history and

thespecificsofindividualcultivarsrendertheuseofyield

data as surrogates for output intensity problematic. To

manage these complexities better, methods have been

developedthatassessthe‘yieldgap’betweenagricultural

yields at theplot, farm orregional level to a reference

yield that is attained under similar conditions of

pro-duction (e.g. [57,58,59]) or standardised management

[45].Forforestry,anintricacyresultsfromtheoccurrence

ofunplannedfellings,forexample,followingnaturalfires,

pests or storms, which eventually results in naturally

inducedincreasesofoutputperareaandyearandrenders

it important to integrate the natural disturbances and

harvests[60].

Table1

Summary of dimensions and indicators of land-use intensity

Proposeddimension/indicator Authors

Inputs

Croppingfrequency,proportionoffallowland,harvestintervalsandrotationlengthinforestry [21,26,27,28,29,30,31] Cropping frequency combined with indices for technology [32,33,15,34] Indices combining inputs of labour and capital (and skills) per land area [35,36,37,38,27,39]

Singleinputsperlandarea [40,41]

Typeofforestregeneration(planting,seedingornaturalregeneration) [42] Outputs

Agriculturalyield(productionperareaandtime) [25,18,43,44,45]

Stockingdensityoflivestocka [46]

Fellingrates(fellingsaspercentofnetannualincrement) [47] Inputsandoutputs

Combinedindicesofinputsandoutputsa [14

,48,49,50] Changesinsystemproperties

Biodiversity [51]

Complexityofecosystems [23]

Net primary production [52]

Carbon stocks [53]

Waterandnutrientcycle [22,51]

a

(4)

Measuring

changes

in

system

properties

The systematic observation of the effects of land-use

intensity ontheecologicalpatterns and processes, such

as nutrientcycling,biodiversity,netprimaryproduction

(NPP),carbonstorage,waterqualityandwaterretention

capacity,isanimportantcomponentforacomprehensive

analytical framework for land-use research. Keys and

McConnell[20]and Tscharntke[23]haveplacedsuch

alterations of system properties at the centre of their

general definitions of land-use intensification. Whereas

analyses of the input-output ratio are an established

research theme (see SI), the link to altered ecosystem

propertiesisrarelyexplicit.Thisissurprisingbecausethe

alteration of system properties can be decisive for the

overalldynamicsofthelandsystem([16],Seppelt,inthis

issue).

Considering the effects of changes in the ecosystem

parametersandconsequentialalterationsoftheprovision

of ecosystem services appears important to further our

understanding of land-use intensity and for developing

indicatorsofsystem-leveloutcomes.Themeasurements

of such consequences, for example, the provision of

ecosystem services, have provento bedifficult [61,62].

Biophysicalapproachesexistthatquantifythesechanges

at the system level, for example, by quantifying the

differences between the actual and potential states of

the ecosystemand usingthe distance betweenthe two

states as a proxy for intensity. This notion is closely

related to the ecological definition of disturbance [63].

Examples o such approaches include the disturbance

assessment byHannahet al. [64],thechangesin

biodi-versity proposedbyMatsonetal. [51],theland useand

disturbance intensity index proposed for forestry, as

based on the ecological law of self-thinning [53], or

the human appropriation of net primary production

(HANPP;inthedefinitionof[52,65]).Forfurtherdetails,

seeKuemmerleetal.(in thisissue).

A

conceptual

framework

for

measuring

land-use

intensity

Onthebasisofourreview,wesuggestthattheresearch

aimed at studying land-use intensityor change therein

over time will have to integrate the three dimensions

outlinedabovesystematicallyinaconceptualframework

(Figure1).Theland-basedproductionsystemembedded

withinaterritoryshouldbeatthecentreoftheresearch

onland-useintensity.Theindicatorsforland-use

inten-sityshouldthensystematicallyintegratetheinputstothe

productionsystems(e.g.land,labourandcapital)withthe

outputs (i.e. products). This view, consistent with

economicprinciples,allowsthestudyoftheinput-output

relationships,suchastheeffectsofdiminishingreturnsor

substitutioneffectsoflabour,skillsandcapital[35].The

frameworkisalsocompatiblewiththepivotalBoserupian

notionofcropping frequencyas ameasure for land-use

intensityandallowsanalysingthedynamicrelationships

of intensificationandlandexpansion.

Figure 1 System properties Production System Outcomes Labour Products Territory Substituion Opportunity costs Trade-offs Synergies Feedback loops Land Capital Inputs (c) (a) (b) Outputs Services

Current Opinion in Environmental Sustainability

Aconceptualframeworkofland-useintensity(green:dimensionsofland-useintensity).Weproposeanewperspectiveonland-useintensity thatsystematicallylinksthreedimensions(greenfields):inputs,outputs,andtheassociatedsystemleveloutcomesofland-basedproductionresulting from alterations of the system properties (e.g. biodiversity change, carbon loss, or loss of cultural heritage). This allows one to (a) integrate trade-offs and synergies between land-based production and its associated unintended outcomes; (b) systematically link inputs and outputs; and (c) relate thesubstitutioneffectsattheinputsidetochangesinthesystempropertiesandtheirsocio-ecologicaleffects(dashedorangearrows).These relationshipsarekeyinunderstandingthefeedbackloopsbetweenproductionandconsumptionandtoidentifytheconditionsunderwhich sustainableintensificationcanoccur.

(5)

On the basis of biophysical indicators, much can be

gainedfromsuchanintegration:beyondtheagricultural

yield,whichalreadyrepresentstheratiobetweenoutput

(productionperyear)and input(land area),other ratios

couldbecalculatedinanalogytotheproductionfunction

ineconomics. Afew suchbiophysicalindicatorsalready

exist and reinforcethe power of such approaches. The

indicator‘energyreturnoninvestment’(EROI;[66]),for

example, balances energetic inputs and outputs to and

fromlandandcanillustratethenet-effectsof

intensifica-tionstrategies. Timeseriesanalyses reveal that, during

industrialisation, the tremendous gains in labour

effi-ciency come at the expense of a deteriorating energy

balance,which,incertaincases,evenfallsbelowone[67].

Itisimportant,however,tomovebeyondsimply

asses-singinputsandoutputsandtoalsoconsidertheoutcomes

ofland-based production, which are the result of

(fre-quently)unintendedalterationsofthesystemproperties

butare decisiveforthedynamicsofthecoupled

socio-ecological system. Quantifying the trajectories of the

ratiosbetweeninputs,outputsandchangesinecosystem

propertiescanprovidedeepinsightsintosociety-nature

interactionsandwouldallowtheopportunitytobalance

the costs and benefits of land-based production while

explicitly acknowledging and internalising the

unin-tended outcomesof land-use intensificationstrategies.

Only a few empirical examples of such integrative

perspectivesexist: atthelevelofagriculturalproducts,

approachesbasedonlifecycleassessments(LCA)have

beendevelopedtosystematicallyassessthe

environmen-talimpactsofproductionchains(forareviewsee[68]).

Atthelandsystemlevel,theHANPPframeworkallows

thecalculationof HANPPefficienciesoffinal biomass

products(e.g.theamountofHANPPperfinalproductin

tC/yr; [69]) and can, thus, evaluate the environmental

pressure associated with biomass products. A similar

approachisthecarbonfootprintconcept[70],whichaims

to quantify the carbon emission related to the final

consumptionofproducts(e.g.food).Similarly,thelocal

orglobal biodiversity loss ‘embodied’in everyunit of

input or output could be a compelling indicator for

evaluatingland-useoptions andtoidentifysustainable

landsystems[71].Suchaccountingschemeswouldalso

allow to address a growing challenge of land systems

science, that is, the growing teleconnections of land

systems (see Meyfroidt, in this issue; Gu¨neralp, in

thisissue)andtheirrelationtoland-useintensification

pathways.

Ultimately, the further development of indicators that

explicitlyaddressallthreedimensionswouldallow

con-sistentandsystematicintegrationoftheintended

socio-ecological outcomes or land-based production with the

associated direct, indirect and opportunity costs. This

wouldenhance ouranalytical capacityto explore

trade-offs, synergies and feedback loops systematically, and,

thereby,informdecisionmakingforasustainablefuture

landuse.

Conclusions

Satisfying the growing human demand for land-based

production without compromising the natural resource

base requires sustainable land-use intensification. The

formulationofstrategiestofostersustainable

intensifica-tion,however,requiresabetterconceptualisationofthe

land-useintensityitself,inadditiontoimproved

monitor-ingsystemsthatprovideasolidbasisfordecisionmaking.

Unfortunately, to date, neither conceptualisations nor

datasetsare available of sufficient quality and quantity

(Kuemmerleet al., in this issue)to allow for consistent

analysesof land-useintensity.

Inthisarticle,wesuggestthattheanalysisandmonitoring

of land-use intensity should follow an integrative

con-ceptualframework that focuses onthree dimensions of

land-useintensity: inputsto the land,outputs fromthe

land,andthehuman-induced,butunintendedoutcomes

ofland-useintensificationthatarebestmeasured atthe

systemlevel.

Thedevelopmentofsuchamonitoringsystemisagreat

challengethatrequires the concerted effortof multiple

disciplines. However, such an effort would contribute

substantially to advance our analytical capacity for

un-derstandingland-usechangesand,thus, ultimately

pro-videabasisfor forgingsustainableland-usestrategies.

Acknowledgements

The authors acknowledge funding from the Global Land Project (www.globallandproject.org),theEuropeanCommission(ERCGrant ERC-2010-Stg-263522‘LUISE’,EU-FP7Project265104‘VOLANTE’,EU-FP7 Project 265286 ‘I-REDD+’, and ERC Grant ERC-Stg-2012-311819 ‘GLOLAND’),theAustrianScienceFund(FWF)projectP20812-G11,and theEinsteinFoundationBerlin.

Appendix

A.

Supplementary

data

Supplementary material related to this article can be

found,in theonlineversion,athttp://dx.doi.org/10.1016/

j.cosust.2013.07.010.

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