SYSTEMATIC CONSERVATION PLANNING
We can help you make landscape-level plans for nature.
Systematic Conservation Planning (SCP) is a decision support tool which combines evidence and analysis with a social process designed to foster the social capital needed for effective and enduring environmental management. We will draw on decades of international experience to develop cutting edge plans that deliver outcomes for nature in the most cost effective way.
WHAT IS SYSTEMATIC CONSERVATION PLANNING?
Systematic conservation planning is the biogeographic-economic activity of identifying important areas for natural capital. A suite of software packages can be used to analyse spatial data to identify the areas that would most efficiently deliver targets. A broad range of data can be used, addressing not only ecological aspects but also social and economic considerations, meaning that the most socially acceptable, cost efficient solutions can be found.
When paired with an inclusive social dialogue, this provides a structure through which a communal vision can be negotiated, and an evidence informed strategy can be developed. From a combination of the social and analytical processes, a proposed distribution of environmental goods and services can be derived.
This proposed distribution can then be communicated back through the same dialogue to moderate it in light of stakeholder needs and local knowledge. This establishes a map of the relative values of land in terms of their ability or potential to produce environmental goods and services.
This map of relative value can then be used to guide management strategies. Because the approach is underpinned by a readily repeated analysis, the responses from land managers can be easily incorporated into successive iterations, allowing for priorities to be kept relevant as contexts evolve.
With the release of the 25 Year Environment Plan and the much anticipated upcoming environment bill there is a window of opportunity for a step change in the management of English nature. One of DEFRA's key intentions is to develop natural capital plans to as part of a new Environmental Land Management Scheme.
Working in collaboration with WWF-UK, Biodiversify has produced two reports. One which makes the economic case to public and private decision makers for using systematic conservation planning, and a second which uses stakeholder interviews understand how natural capital planning might build upon existing resources to guide the management of English landscapes.
An Economic Case for the Use
Natural Capital Plans
An investigative review of spatial planning in the Cam & Ely Ouse and Broadland Rivers catchment areas
An Introduction to SCP
Biodiversify WRE WWF webinar final
Q&A SCP introduction
SCP WRE Objectives & actions webinar
Objectives, actions & targets explainer
HOW OUR TEAM COLLABORATES
Systematic conservation planning is an inherently bespoke process. The entire approach must be tailored to both the context and the needs of stakeholders. As a result, it's a team effort from start to finish.
DR. SAM SINCLAIR
Sam leads our SCP team. He focuses on project management and works to ensure that the planning process is designed to mesh effectively within existing systems. He also applies his research to maximise the impact and influence of landscape level plans.
DR CECILIA LARROSA
Dr Larrosa, usually know as "Siso", is our technical lead. She designs and codes the tools which allow us to analyse a dizzying array of data to identify landscape priorities. Working at The University of Oxford for many years has placed her at the cutting edge of science, allowing her to integrate a wide range of techniques into our tools.
PROFESSOR ROBERT SMITH
Dr Smith has worked around the world to develop a wide range of plans. He plays an oversight role in our team, using his extensive experience to ensure our plans are well designed and effective.
DR MICHAEL BURGASS
Mike's expertise lies in indicators, more specifically how we use them, what they actually mean and where their weaknesses lie. He works to make sure that we're using the best data and interpreting our results correctly.