6
Citizen science and web-based modelling tools for managing freshwater Introduction Mountains are often referred to as ‘water towers’ as they provide freshwater to people in upland and downstream areas 1,2 . Rivers originating from the Himalayas carry a vast wealth of water- related benefits (also described as ecosystem services) that directly underpin local livelihoods and the wellbeing of societies in the region. Freshwater is a very scarce resource in the Himalayan uplands. Agricultural practices depend on timely rain and snowfall in the upper mountains. The resulting water availability in local streams is crucial to maintaining local livelihoods. The region’s water supply is also highly vulnerable to natural disasters and climate change 3 . In the face of these water security challenges, it is important to ensure water is supplied to households in sufficient quantity and quality, as well as maintaining agricultural production and safegurading habitats and the environment 4 . These priorities are becoming even more important to the Himalayan region in the context of unprecedented land use and climate change impacts. However, a significant shortage of useful data and information about these water systems has seriously undermined their sustainable use in the local area. As a result, changing hydrological cycle and climatic patterns may be poorly reflected in water and land resources management practices. In a highly uncertain and vulnerable environment such as the Himalayas, involving citizens in monitoring water resources, land use changes and resource management practices can create new knowledge that directly supports local decision making. The use of mapping and modelling tools at appropriate spatial and temporal scales 5 is vital to understanding the current state of water and land resources as well as the future threats they face. In addition, vulnerability assessments can help target activities to improve resilience. Grantham Institute Briefing note No 4 March 2017 DR BHOPAL PANDEYA AND DR WOUTER BUYTAERT The headlines • Involving local communities in monitoring water and land resources – so-called citizen science – can create new data and knowledge, improve conventional decision making and optimise water resource benefits. • The use of low-cost hydrological sensors in Nepal allowed local stakeholders to generate useful data on freshwater resources in partnership with scientists, and to apply this data more effectively in participatory decision making. • It is important to use the right mapping and modelling methods for ecosystem services (the benefits people obtain from ecosystems) so that information on service production, distribution and consumption is expressed at a spatial scale that is relevant to decision making. These methods are even more important in regions where limited data is available. • The integration of appropriate citizen science practices as well as mapping and modelling tools into water and land resources- based decision making could facilitate sustainable development activities, particularly in the Himalayan region.

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Page 1: Citizen science and web-based modelling tools for managing ... · An innovative approach of citizen-centric data gathering activities and knowledge co-generation can be ... a case

Citizen science and web-based modelling tools for managing freshwater

Introduction

Mountainsareoftenreferredtoas‘watertowers’astheyprovidefreshwatertopeopleinuplandanddownstreamareas1,2.RiversoriginatingfromtheHimalayascarryavastwealthofwater-relatedbenefits(alsodescribedasecosystemservices)thatdirectlyunderpinlocallivelihoodsandthewellbeingofsocietiesintheregion.

FreshwaterisaveryscarceresourceintheHimalayanuplands.Agriculturalpracticesdependontimelyrainandsnowfallintheuppermountains.Theresultingwateravailabilityinlocalstreamsiscrucialtomaintaininglocallivelihoods.Theregion’swatersupplyisalsohighlyvulnerabletonaturaldisastersandclimatechange3.

Inthefaceofthesewatersecuritychallenges,itisimportanttoensurewaterissuppliedtohouseholdsinsufficientquantityandquality,aswellasmaintainingagriculturalproductionand

safeguradinghabitatsandtheenvironment4.TheseprioritiesarebecomingevenmoreimportanttotheHimalayanregioninthecontextofunprecedentedlanduseandclimatechangeimpacts.

However,asignificantshortageofusefuldataandinformationaboutthesewatersystemshasseriouslyunderminedtheirsustainableuseinthelocalarea.Asaresult,changinghydrologicalcycleandclimaticpatternsmaybepoorlyreflectedinwaterandlandresourcesmanagementpractices.InahighlyuncertainandvulnerableenvironmentsuchastheHimalayas,involvingcitizensinmonitoringwaterresources,landusechangesandresourcemanagementpracticescancreatenewknowledgethatdirectlysupportslocaldecisionmaking.Theuseofmappingandmodellingtoolsatappropriatespatialandtemporalscales5isvitaltounderstandingthecurrentstateofwaterandlandresourcesaswellasthefuturethreatstheyface.Inaddition,vulnerabilityassessmentscanhelptargetactivitiestoimproveresilience.

GranthamInstituteBriefingnoteNo4March2017

DR BHOPAL PANDEYA AND DR WOUTER BUYTAERT

The headlines

• Involvinglocalcommunitiesinmonitoringwaterandlandresources–so-calledcitizenscience–cancreatenewdataandknowledge,improveconventionaldecisionmakingandoptimisewaterresourcebenefits.

• Theuseoflow-costhydrologicalsensorsinNepalallowedlocalstakeholderstogenerateusefuldataonfreshwaterresourcesinpartnershipwithscientists,andtoapplythisdatamoreeffectivelyinparticipatorydecisionmaking.

• Itisimportanttousetherightmappingandmodellingmethodsforecosystemservices(thebenefitspeopleobtainfromecosystems)sothatinformationonserviceproduction,distributionandconsumptionisexpressedataspatialscalethatisrelevanttodecisionmaking.Thesemethodsareevenmoreimportantinregionswherelimiteddataisavailable.

• Theintegrationofappropriatecitizensciencepracticesaswellasmappingandmodellingtoolsintowaterandlandresources-baseddecisionmakingcouldfacilitatesustainabledevelopmentactivities,particularlyintheHimalayanregion.

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Citizen science and web-based mapping and modelling tools in decision making

Publicparticipationinenvironmentaldatacollectionhasalonghistory.However,recentadvancesinaffordabletechnologiessuchaslow-costmonitoringequipment6,theavailabilityofopen-sourcedatabasesandmodellingtools7,participatorymappingofresources8andgoodcommunicationnetworkshaveexpandedthepotentialtoengagecitizensintheseactivities9,10.Thereisalsountappedpotentialtobuildtransformativeresearchonthelinksbetweenhumanactivityandnaturalsystems11.Citizensciencecouldthereforebridgethecurrentscience-policyimpasseandensurewaterresourcesaremanagedmoreeffectively.

Inwaterresourcesmanagementpolicy,anumberofkeyquestionsareconstantlyraised,suchasdefiningfreshwaterresourcesservicesatappropriatespatialandtemporalscalesandtheinfluenceofeco-hydrologicalprocessesinwaterservicesproduction.Thesequestionsleadtoinquiriesaboutthetrendsandflowsofservicesproductionovertimeandspaceandhowhumaninterventionshaveaffectedthem.Toanswerthesequestions,adetailedvaluationofecosystemservicesincludingmappingandmodellingofservicesisessential.Thisincludestheapplicationofrelevanttechnologies,forexample,theuseoflow-costhydrologicalmonitoringsensorsincoordinationwithlocalstakeholdersandordinarycitizens.Thegoalofvaluationexercisesistoprovideinformationneededtosupportpolicyanddecisionmaking.Howeverthereisaprofoundgapofdataandknowledge,especiallyatalocalscaleandindata-scarcemountainousregions.Aninnovativeapproachofcitizen-centricdatagatheringactivitiesandknowledgeco-generationcanbeplacedattheheartofthewaterresourcesmanagementinthoseareas12(seefigure1).

Sincewaterresourcesbasedservicesarespatiallydistributed,theircurrentflowsandtrendscanbebetterdescribedbyusingappropriatemappingandmodellingtoolssuchastheWaterWorld7,13,andtheInVEST14models.Thesetoolsincludetimedimensionstointegratearangeofnaturalprocessesintotheirmodelsandcanbeusedatarangeofscales–fromlocaltobasinscales.Themajorityofmappingandmodellingtoolsinusenowareweb-basedandsomeincludefreedatasets(forexample,theSimterradatabaseisembeddedwithintheWaterWorldmodelandconsistsofarangeofhydro-climaticandsocio-ecologicaldata).Thesefeaturesmakeiteasierformappingandmodellingofwaterrelatedservicesrelevanttopolicyanddecisionmaking.

Mapsareusefulforprioritisationandproblemidentification,especiallyinrelationtosynergiesandtrade-offsamongdifferentecosystemservices,andbetweenecosystemservicesandbiodiversityprotection.Ingeneral,mappingandmodellingvisualisationsarethemostusefulwaytoillustratethevalueofwaterresourcesbasedservices,andtherebysupportdecisionandpolicymaking.

Remotely-senseddata,availablefromglobalandregionaldatarepositories,canbeusedtogetherwithcitizen-basedapproachestoimproveourunderstandingoftheecosystemservicesavailable.Remote-sensingdatacanalsosupporttheanalysisofuncertaintiesinrelationtolanduseandclimatechangescenarios.

Web-basedmappingandmodellingtoolsarebeginningtohaveagreaterimpactinwaterresourcesmanagement.Althoughsomeofthesetoolsareprovidedwithagreatdealofspatio-temporaldataforwaterandlandresourcesassessment,suchdatadoesnotalwaysaccuratelyreflecttherealresourcessituationontheground,especiallyforremoteandmountainousenvironments.Citizensciencebasedmonitoringofwaterresourcesmonitoringcan,however,createlocallyrelevantdata,andsupportmappingandmodellingoflocalecosystemservices.

Figure 1: Citizensciencecancontributetowardsansweringpolicymakers’questionsandsupportingwaterresourcesmanagement

Water resources based ecosystem servicesHow can water and land resources based services be defined and measured?What are the spatial and temporal scales of services production? How are these services produced and at what magnitude? How do major ecological and hydro-climatic processes influence their production?

Valuation of ecosystem servicesBiophysical valuation: Which approaches are suitable (including mapping and modelling tools) to value biophysical production of services? Socio-ecological valuation: How do social and ecological systems interact with hydrologic services to produce benefits to people? Monetary vs non-monetary valuation: What role can economic valuation play? Technological innovation: How can technology (including ICT applications) improve data and knowledge generation?

Policy and decision makingWho will benefit from the valuation process? Which ecosystem services are important to local communities? What is the institutional mechanism for adopting valuation results? What policy mechanisms are available to protect and promote resources benefits?

Trends and flows What is the trend of services production (spatial vs temporal relation), from sources to beneficiaries?How do human activities affect them? How does production of one service interact with production of others?

CitizenScience- based

data and knowledge

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Policy relevanceAlackofapplicabledataandknowledgehasseriouslyhinderedwaterresourcemanagementintheHimalayanregion.Policyanddecisionmakersrelyonsparseandpotentiallyinaccuratedataand‘ruleofthumb’baseddecisionmakingtotrytosupportthesustainableuseofwaterresources.Theintegrationofcitizenscienceandweb-basedmappingandmodellingtoolsdescribedabovecanbeenormouslyvaluableforpolicymakers.

Mountainregionsexperienceaparticularlyhigherdegreeofuncertaintyinrelationtotheirwaterresources.Thisuncertaintyisaresultofthecombinationofchanginghydrologicalcycleandclimaticpattern,naturalhazards,andhumandrivenlanduseandclimaticchanges.Web-basedmappingandmodellingtoolscanalsohelpwiththisuncertaintydimension.Byusingplausiblefuturescenarios,thesemodellingtoolscanexplainthepotentialchangeinwateravailabilityatalocalscale.

The Upper Kaligandaki Basin – a case study site in Nepal

Wehavetestedcitizensciencepracticesandweb-basedmappingandmodellingtoolsinatrans-HimalayanriverbasinsystemincentralNepal(seefigure2).LocatedinarainshadowoftheHimalayas,theKaligandakiBasinreceivesverylowprecipitation(lessthan250mmperyear),mainlyfromsnowfall.Theincreasinglyunpredictablewatersupplyinlocalstreamsismakingfarmingevenmorechallenging.Localpeopleareconcernedaboutthechangingsnowfallinuppermountainareasanditsimpactonwateravailabilityindownstreamareas.Suddenandunpredictedglacialmeltingcanalsocreatewater-inducedhazardssuchaslandslides,floodingandsedimentationintheseareas.

“�Our�farmlands�are�highly�productive�(...)�but�there�are�some�big�problems.�The�water�supply�is�becoming�more�disrupted,�soil�loss�is�extensive.�(...)�We�need�to�address�these�problems�immediately�so�we�can�improve��agricultural�production�and�increase�our�household�incomes.”�–�Local�community�member

Inadditiontonaturalcausesofwaterresourceuncertainty,landusechangehasasignificantimpactonecosystemservices.Thedevelopmentofroadnetworks,hydroelectricprojectsandtheexpansionofhumansettlementshavebeenthemaindriversoflandusechangeinrecentdecades.Socio-economicfactorssuchaschangesinlifestyleanddietpatternshavealsobeencritical.

Theregionhasseenchangesinlocaldemographics,includingrapidmigration,andanincreaseineco-tourismbusinesses.Allofthesechangesmayhavedetrimentalimpactsonwaterquality,landproductivityandnaturalbeauty.Therefore,adetailedunderstandingofwaterandlandresourcesisparamountinsustainingandimprovinglocallivelihoods.

Figure 3:Localparticipationinhydro-meteorologicalmonitoring

Ourexperimentsintestsitesintheregionhaveshownthatthecombinationofcitizen-basedwaterresourcesmonitoringandreal-timepubliclyavailabledataismakingarealimpactonwaterresourcesmanagement(seefigure3).Integratingthisnewapproachintolocaldecisionmakingcouldcontributetobettermanagementofwaterresourcesandhelpadaptagriculturalpracticestochangingwateravailabilityinthelongterm.

Usingappropriateweb-basedmappingandmodellingtools(WaterWorld),waterserviceshavebeenassessedatbasinandsub-basinscales(seefigure5).Theresultsshowavariationinhydrologicalcharacteristicswithinthebasin.Thespatialdetailsofrainfall,waterbalance,evapo-transpirationandfoginput(cloudwater)canprovideusefulinformationtolocalauthorities.Thereisahigherrateofevapo-transpirationintheuppercatchmentandsimilarlyahigherleveloffoginput(upto25%oftotalprecipitation)inlowerpartsofthebasin.Notably,thereismorewateravailableforhumanandcropusealongthesouthernpartsofthebasin.

Themodellingresultscouldalsoprovideusefulinformationonwaterresourcedistributionwithinasmallsub-catchment.Experimentsalsoshowedthattheseapproachescanbeequallyrobustfordatascarceregions,althoughitdependsonthespatialandtemporalresolutionoftheavailabledata.Certainly,locallygenerateddatacansignificantlyimprovethehydrologicaldatabaseformappingandmodellingofwaterresources.Figure 2: AltitudemapandlocationoftheUpperKaligandaki

BasininNepal13

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A:Waterlevelsensor B:AnAutomaticWeatherStation

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Lessons learned and opportunities for capacity building

Thereisanurgentneedforevidence-basedandlocallyrelevantwaterresourcemanagement,especiallyindatascarcemountainregions.

Withtherecentdevelopmentofuserfriendlyandaffordabletechnologiessuchaslow-costhydrologicalsensors,citizensciencepracticescannowbeusedinremoteanddata-scarceHimalayanmountainregions.Ourexperienceshowsthatthegreateravailabilityofdataandsimplifiedtoolswouldeventuallycascadedowntothelocalscale,ashasbeenthecasewithothertechnologies.Localstakeholderswouldbeabletousesuchtoolsindependentlyandintegratenewdataandknowledgeintotheirdecisionmakingpractices.

Acceleratingtheuseofcitizenscience,andmappingandmodellingtoolsrequiresenhancedcapabilitiesamongpolicymakersandpractitionerstoincorporatethesepractices.WeforeseepotentialopportunitiesincollaborationwiththeGovernmentofNepal’sDepartmentofHydrologyandMeteorology(DHM),andtheregionalofficesofWWFandPracticalActionthatcanhelpensurethesemethodsareappliedmorewidely,andinalastingmanner,atlocallevel.

A:Annualrainfall

D:Annualpercentageofrunoffgeneratedbysnowmelt

B:Annualactualevapotranspiration

E:Annualpercentageofrunoffgeneratedbyfoginput

C:Annualwaterbalance

F:Humanfootprintonwaterquality(percentagecontamination)

Figure 5: HydrologicalservicesgeneratedbytheUpperKaligandakiBasin13

Figure 4: WaterandcroplandmanagementpracticesintheUpperKaligandakiBasin–a)agriculturallandb)irrigationpondc)applefarmingd)communitydiscussion.

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References

1. ViviroliD.,DürrH.H.,MesserliB.,MeybeckM.andWeingartnerR.(2007)‘Mountainsoftheworld,watertowersforhumanity:Typology,mapping,andglobalsignificance’,WaterResourcesResearch,43(7),W07447

2. MesserliB.,ViviroliD.andWeingartnerR.(2004)‘Mountainsoftheworld:vulnerablewatertowersforthe21stCentury’,Ambio,29-34

3. Xu,J.,Grumbine,R.E.,Shrestha,A.,Eriksson,M.,Yang,X.,Wang,Y.U.N.andWilkes,A.(2009)‘ThemeltingHimalayas:cascadingeffectsofclimatechangeonwater,biodiversity,andlivelihoods’,ConservationBiology,23(3),520-530

4. Grey,D.andSadoff,C.W.(2007)Sinkorswim?Watersecurityforgrowthanddevelopment,WaterPolicy,9(6),545-571

5. Crossman,N.D.,Burkhard,B.,Nedkov,S.,Willemen,L.,Petz,K.,Palomo,I.,Drakou,E.G.,Martín-Lopez,B.,McPhearson,T.,Boyanova,K.,Alkemade,R.,Egoh,B.,Dunbar,M.B.andMaes,J.(2013)‘Ablueprintformappingandmodellingecosystemservices’,EcosystemServices,4:4-14

6. Buytaert,W.,Baez,S.,Bustamante,M.andDewulf,A.,(2012)Web-basedenvironmentalsimulation:bridgingthegapbetweenscientificmodelinganddecision-making,Environmentalscience&technology,46(4),pp.1971-1976.

7. Mulligan,M.(2013)‘WaterWorld:aself-parameterising,physically-basedmodelforapplicationindata-poorbutproblem-richenvironmentsglobally’,HydrologyResearch,44(5),748-769,doi:10.2166/nh.2012.217

8. Jankowski,P.,(2009)Towardsparticipatorygeographicinformationsystemsforcommunity-basedenvironmentaldecisionmaking,JournalofEnvt.Management,90(6),1966-1971

9. BuytaertW.,ZulkafliZ.,GraingerS.,AcostaL.,BastiaensenJ.,BhusalJ.,ChanieT.,Clark,J.,DeBièvreB.,DewulfA.,Hannah,D.M.,HergartenC.,IsaevaA.,KarpouzoglouT.,PandeyaB.,PaudelD.,SharmaK.,SteenhuisT.,TilahunS.,VanHeckenG.,ZhumanovaM.(2014)‘Citizenscienceforhydrologyandwaterresources:opportunitiesforknowledgegenerationandsustainableecosystemservicemanagement’FrontiersinEarthScience,SectionHydrosphere,pp.1-21

10. Dickinson,J.L.,Shirk,J.,Bonter,D.,Bonney,R.,Crain,R.L.,Martin,J.,Phillips,T.andPurcell,K.,(2012)Thecurrentstateofcitizenscienceasatoolforecologicalresearchandpublicengagement.FrontiersinEcologyandtheEnvironment,10(6),pp.291-297.

11. Crain,R.,Cooper,C.andDickenson,J.L.(2014)Citizenscience:atoolforintegratingstudiesofhumanandnaturalsystems,Annu.Rev.Environ.Resour.,39:641-65

12. PandeyaB.,BuytaertW.,ZulkafliZ.,KarpouzoglouT.,MaoF.andHannahD.M.(2016)‘Acomparativeanalysisofecosystemservicesvaluationapproachesforapplicationatthelocalscaleandindatascarceregions’EcosystemServices,(doi.org/10.1016/j.ecoser.2016.10.015)

13. WaterWorldv2,2016,WaterWorldVersion2Modules,King’sCollegeLondon,UK

14. Sharp,R.,Tallis,H.T.,Ricketts,T.,Guerry,A.D.etal.,2016,InVESTversion3.3.1,User’sGuide,TheNaturalCapitalProject,StanfordUniversity,UniversityofMinnesota,TheNatureConservancy,andWorldWildlifeFund

Acknowledgements

ThisstudyisfundedbytheUKEconomicandSocialResearchCouncil–ImpactAccelerationAccount(grantnumber:ES/M500562.1),ESPA’sFellowshipGrant(FELL-2014-105)andMountain-EVOProject(NE-K010239-1).WealsothankUNESCO-IHP,SocietyofHydrologistsandMeteorologists(SOHAM)andDepartmentofHydrologyandMeteorology(DHM)fortheirvaluableinputsinthepaper.WearealsogratefultoDrMarkMulliganofKing’sCollegeLondonforprovidingaccesstotheWaterWorldhydrologicalmodelandSimTerradatabase.

About the authors

Dr Bhopal Pandeya

BhopalPandeyaisaPostdoctoralResearchFellowattheGranthamInstitute–ClimateChangeandtheEnvironment.Hehasmorethantenyearsofresearchexperienceatthescience-policyinterfaceandhasexpertiseinnaturalcapitalandecosystemservices(especiallyfreshwaterandlandresourcesmanagement),citizenscience,policysupportsystems,climatechangeandsustainabledevelopmentagenda.HegraduatedwithanMPhildegreeinEnvironment,SocietyandDevelopmentfromCambridgeUniversityandcompletedhisPhDinunderstandingthehydrologicalecosystemservicesproducedbytheIndo-GangeticBasinsandselectedmountaincatchmentsintheHimalayasatKing’sCollegeLondon.HisresearchactivitiesarefundedbytheUKResearchCouncilsandDFID,andmainlyfocusedintheHimalayasandtheSouthAsianregion.Email:[email protected]

Dr Wouter Buytaert

DrBuytaertisaSeniorLecturerinwaterresourcesandenvironmentalchangeintheDepartmentofCivilandEnvironmentalEngineeringatImperialCollegeLondon.Hehasmorethan15yearsofexperienceinhydrologyandwaterresourcesmanagementindifferentpartsoftheworldincludingtheTropicalAndes,theHimalayas,EastAfricaandCentralAsia.Heisanexpertontheimpactoflandusechangesandclimatechangeonhydrologicalprocessesandwatersupply,butalsoworksonthedevelopmentofenvironmentalmodels,prediction,decisionsupportandsustainabledevelopment.Email:[email protected]

GranthamInstitute ImperialCollegeLondon

Briefingnote No4 March2017Citizenscienceandweb-basedmodellingtoolsformanagingfreshwater

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Citizenscienceandweb-basedmodellingtoolsformanagingfreshwater

About Imperial College London

Consistentlyratedamongsttheworld’sbestuniversities,ImperialCollegeLondonisascience-basedinstitutionwithareputationforexcellenceinteachingandresearchthatattracts13,000studentsand6,000staffofthehighestinternationalquality.

InnovativeresearchattheCollegeexplorestheinterfacebetweenscience,medicine,engineeringandbusiness,deliveringpracticalsolutionsthatimprovequalityoflifeandtheenvironment—underpinnedbyadynamicenterpriseculture.Sinceitsfoundationin1907,Imperial’scontributionstosocietyhaveincludedthediscoveryofpenicillin,thedevelopmentofholographyandthefoundationsoffibreoptics.

Thiscommitmenttotheapplicationofresearchforthebenefitofallcontinuestoday,withcurrentfocusesincludinginterdisciplinarycollaborationstoimprovehealthintheUKandglobally,tackleclimatechangeanddevelopcleanandsustainablesourcesofenergy.

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About the Grantham Institute

TheGranthamInstituteiscommittedtodrivingresearchonclimatechangeandtheenvironment,andtranslatingitintorealworldimpact.EstablishedinFebruary2007witha£12.8milliondonationovertenyearsfromtheGranthamFoundationfortheProtectionoftheEnvironment,theInstitute’sresearchersaredevelopingboththefundamentalscientificunderstandingofclimateandenvironmentalchange,andthemitigationandadaptationresponsestoit.Theresearch,policyandoutreachworkthattheInstitutecarriesoutisbasedon,andbackedupby,theworld-leadingresearchbyacademicstaffatImperial.

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