Introduction

As well as collating the documented evidence we also work on numerous projects to make the use and applicaiton of this evidence easier. Below we list our current projects and collaborations. 

We also run a partnership programme which you can read about here.

Our published outputs can be found here. 

Cost-effectiveness 

The Cost-Effectiveness of Actions to Mitigate the Impact of Power Line Infrastructure on At-Risk Bird Species

Working with several partner organisations, we aim to assess the cost-effectiveness of several possible interventions to mitigate the impact of powerline infrastructure on bird species at high risk of electrocution or collision with the powerline infrastructure. The project is focussed in Spain and involves several energy companies, and NGOs.

If you are interested in finding out more you can contact Tom White at tbw27@cam.ac.uk

The Cost-Effectiveness of Agricultural Interventions for Biodiversity

Working with YAGRO, Conservation Evidence are investigating the cost-effectiveness of actions for protecting biodiversity on farmland. The hope is to integrate this information into decision support tools for farmers, who can better understand both the financial consequences and biodiversity outcomes of different agricultural actions.

If you are interested in finding out more you can contact Tom White at tbw27@cam.ac.uk

Cool Farm Tool

Integrating globally-recognised sustainability metrics for tropical perennial crops in a one-stop shop 

This project aims to expand the ability of the Cool Farm Alliance’s Cool Farm Tool – a science-based decision support tool that assesses the sustainability of farming practices – to allow it to be used by farmers in the global south, with a particular focus on perennial crops. Perennial crops make up 30% of global croplands, are some of our key food commodity crops, and are very important to hundreds of thousands of smallholder producers across the tropics, but Cool Farm Tool modules are not yet fully in place for these systems.

This NERC funded project aims to develop all the necessary modules to report carbon and water footprints, and biodiversity impacts of farming strategies used within tropical perennial systems. The project will then test the modules across a range of crops (sugarcane, mango, coffee, orange, banana, tea, grapes, and avocado) in collaboration with businesses that are members of the Cool Farm Alliance and the Wellcome Trust funded Sustainable and Healthy Food Systems (SHEFS) Project in India and South Africa. Specifically it will:

Add new soil carbon stock factors for perennial crops to existing Cool Farm Tool modules

• Adapt the existing water footprinting module of the Cool Farm Tool to perennials
• Develop a biodiversity module for tropical forest biome agriculture
• Combine the carbon stock, water footprint, and biodiversity module developments into an integrated tool, and pilot it in India and South Africa

The Conservation Evidence database will play a crucial role in the development of the biodiversity module for tropical forest biome agriculture by providing an easy-to-access repository of available published evidence about the effectiveness of different agricultural management strategies for supporting biodiversity. This evidence will underpin the design of the management actions that are included in the tool and the scores that they receive for how biodiversity-friendly they are.

The project is led by:

Jon Hillier, University of Edinburgh

Lynn Dicks, University of Cambridge

Alan Dangour, London School of Hygiene and Tropical Medicine

Richard Heathcoate, Cool Farm Alliance

Sarah Luke, University of Cambridge

Metadataset

Metadataset (metadataset.com) aims to tackle one of the major issues faced in evidence synthesis; how to make global evidence relevant at local scales. Current methods of evidence synthesis, such as meta-analysis, typically answer questions at large (global) scales, e.g. “what is the effect of using crop rotations on soil health?”. Global syntheses like this are essential for informing evidence-based conservation. However, evidence users (e.g., conservation practitioners) often need to make decisions at local scales, and are interested in evidence related to their specific circumstances, e.g. “what is the effect of rotating maize with cassava in unfertilized fields in an arid climate?”. In these circumstances, it can be difficult to assess the relevance of global evidence at local scales.
Metadataset tries to address this problem using a new kind of evidence synthesis called dynamic meta-analysis, which enables evidence users to easily access and analyse evidence that is relevant to them (see our preprint on this here). Metadataset is an online tool, where users can filter and weight evidence based on their needs. Global results are recalculated to local scales using subgroup analysis, meta-regression, and recalibration. Dynamic meta-analysis enables evidence users to make decisions that are typically made by synthesists, e.g. which studies to include (critical appraisal) and how to handle missing data (sensitivity analysis). Therefore, it represents a rebalancing of power in evidence synthesis.

If you are interested in finding out more you can contact Phil Martin at pam79@cam.ac.uk