@article{fdi:010085033, title = {{B}ridging theory and practice in ecosystem services mapping : a systematic review}, author = {{B}itoun, {R}achel and {T}r{\'e}garot, {E}. and {D}evillers, {R}odolphe}, editor = {}, language = {{ENG}}, abstract = {{T}he mapping and assessment of {E}cosystem {S}ervices ({ES}) aims at better connecting environmental conservation, economic development, and human well-being. {H}owever, 60 years after the development of the {ES} concept, a persistent gap remains between the production of scientific knowledge on {ES} and its use in support of policy and management. {H}ere, we report on a systematic review of the scientific literature that helps better understand key challenges and offers potential solutions to bridge this gap. {T}he review considered four criteria: (1) how stakeholders participate to studies; (2) how usable {ES} maps are for decision-making; (3) what policy recommendations were made; and (4) what research recommendations were made. {T}he analysis of 135 papers published between 2008 and 2020 revealed diverse technical and conceptual challenges that could prevent the effective use of {ES} concepts and methods outside the academic realm. {T}he main challenges identified in the literature were the uncertainty levels of {ES} mapping outputs, issues of spatial scales, the understanding of {ES} interactions, and the need for temporal analysis. {M}any policies rely on mapped outcomes, creating a window of opportunity for the uptake of {ES} mapping into policy-making. {H}owever, it remains key to involve stakeholders early in the co-design of {ES} studies and to better understand their preferences and motivation to adopt {ES} mapping in their practices. {T}he study shows that higher levels of learnability of {ES} mapping practices, further popularization to foster public awareness, and increased capacity building would facilitate the {ES} concept uptake into decision and policy-making.}, keywords = {}, booktitle = {}, journal = {{E}nvironment {S}ystems and {D}ecisions}, volume = {42}, numero = {1}, pages = {103--116}, ISSN = {2194-5403}, year = {2022}, DOI = {10.1007/s10669-021-09839-7}, URL = {https://www.documentation.ird.fr/hor/fdi:010085033}, }