A classification to align social-ecological land systems research with policy in Europe

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A classification to align social-ecological land systems research with policy in Europe. / Winkler, Klara J.; Scown, Murray W.; Nicholas, Kimberly A.

In: Land Use Policy, Vol. 79, 01.12.2018, p. 137-145.

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TY - JOUR

T1 - A classification to align social-ecological land systems research with policy in Europe

AU - Winkler, Klara J.

AU - Scown, Murray W.

AU - Nicholas, Kimberly A.

PY - 2018/12/1

Y1 - 2018/12/1

N2 - Both research and policy recognize land systems as fundamental to human life and activities. However, these two perspectives approach land from different ends and it can be difficult to see how studied variables contribute to broader policy goals. In this paper, we argue that there is a need to better select variables to study land systems as social-ecological systems, and to align research more with those policy goals. Concentrating on the European continent, we pursue three interrelated objectives: we (1) build a classification of land systems variables, (2) examine where existing land systems research is positioned in this classification, and (3) compare a set of policies and science-policy frameworks with the classified research. To do so, we conduct a systematic review of 69 peer-reviewed, empirical land systems papers, as well as four overarching policies and science-policy frameworks. We find that over 60% of the reviewed papers include both environmental and social variables, and we identify 154 unique variables studied, 57% of which are environmental. The average paper examines four times as many environmental variables as social ones. We find that policies and science-policy frameworks stress social variables more and include health and air quality aspects that are lacking in the reviewed land systems research. Our classification can help to design research that includes both social and environmental variables and is aligned with broader policy goals. We highlight social variables with available spatial data to encourage a more balanced and integrative social-ecological research design, going beyond a focus on the built and natural environment. Our classification can contribute to guiding land systems researchers towards greater policy relevance. We hope that our classification contributes to a conversation within land systems research on the selection of variables, as well as its further development.

AB - Both research and policy recognize land systems as fundamental to human life and activities. However, these two perspectives approach land from different ends and it can be difficult to see how studied variables contribute to broader policy goals. In this paper, we argue that there is a need to better select variables to study land systems as social-ecological systems, and to align research more with those policy goals. Concentrating on the European continent, we pursue three interrelated objectives: we (1) build a classification of land systems variables, (2) examine where existing land systems research is positioned in this classification, and (3) compare a set of policies and science-policy frameworks with the classified research. To do so, we conduct a systematic review of 69 peer-reviewed, empirical land systems papers, as well as four overarching policies and science-policy frameworks. We find that over 60% of the reviewed papers include both environmental and social variables, and we identify 154 unique variables studied, 57% of which are environmental. The average paper examines four times as many environmental variables as social ones. We find that policies and science-policy frameworks stress social variables more and include health and air quality aspects that are lacking in the reviewed land systems research. Our classification can help to design research that includes both social and environmental variables and is aligned with broader policy goals. We highlight social variables with available spatial data to encourage a more balanced and integrative social-ecological research design, going beyond a focus on the built and natural environment. Our classification can contribute to guiding land systems researchers towards greater policy relevance. We hope that our classification contributes to a conversation within land systems research on the selection of variables, as well as its further development.

KW - Land change

KW - Land cover

KW - Land use

KW - Pattern

KW - Rural systems

KW - Science-policy

KW - SDGs

U2 - 10.1016/j.landusepol.2018.06.034

DO - 10.1016/j.landusepol.2018.06.034

M3 - Article

VL - 79

SP - 137

EP - 145

JO - Land Use Policy

T2 - Land Use Policy

JF - Land Use Policy

SN - 0264-8377

ER -