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Key Considerations for integrating Quantitative Social Science within Landscape Decisions

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The land resource is used to satisfy many different land
related objectives:

food production and security, biodiversity, housing and
other developments, leisure and recreation, as well as flood protection,
biomass, energy production and waste. Landscape Decisions are fundamentally
concerned determining what to put where and have to balance competing demands
for these different Ecosystem Services. This allocation problem is further
complicated by a number of specifically social factors:

Different actors in landscape decision making (from
policy to landowners to citizen ‘consumers’) have different objectives and
priorities and value landscape elements in different ways

These values vary between and within groups, as well as
with socio-economic context

Individual and institutional objectives also operate
over different time frames and spatial scales Thus some form of socio-economic
analysis or social modelling is integral to landscape decisions to

incorporate stakeholder preferences (e.g. the relative
value of any given


model land management behaviours (e.g. risk seekers,
consolidators, market reactors, etc)

- evaluate the socio-economic impacts of landscape
decisions (e.g. to quantify the trade-offs between food production and flood
risk mitigation) This talk will outline and illustrate the impacts of a number
of key but frequently overlooked issues associated with incorporating any spatial
(including data describing social processes) into landscape decision
models, related to scale, scales of decision making and model evaluation.

This talk is part of the Isaac Newton Institute Seminar Series series.

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