Evidence is what makes a project fundable
Restoration in drylands fails quantitatively more often than it succeeds, and it fails for knowable reasons. This is the layer where evidence becomes better projects — not a library, and not a news feed.
MNCRIP is at platform-development stage. Evidence and lessons presented here come from contributing projects, institutions and published research; none is a claim about MNCRIP’s own implementation record.
Where knowledge goes
Knowledge that stops at publication has done nothing for a hectare of degraded land. In this platform it has a destination: it changes what gets prepared, what gets financed, and what gets measured afterwards.
- 01 Evidence
- 02 Knowledge
- 03 Policy & strategy
- 04 Project preparation
- 05 Investment
- 06 Finance
- 07 Implementation
- 08 MRV
- 09 Learning
- 10 Scale
The last link returns to the first. What verification proves at one site is the evidence that prepares the next one.
Eight areas of evidence
These are the questions a prepared project has to answer before capital can price it. They map onto the six strategic programmes, but they are organised by what needs to be known rather than by what gets delivered.
Land & restoration
Degradation drivers, restoration technique, soil recovery rates and what actually holds after the funding ends.
Water
Catchment behaviour, groundwater, harvesting and storage performance under Mongolian conditions.
Agriculture & livestock
Grazing systems, carrying capacity, feed, animal health and the economics of a resilient herd.
Biotechnology & innovation
Applied research for dryland conditions, propagation, and the technologies that shorten restoration timelines.
Climate & resilience
Climate projections, hazard exposure, dzud risk and adaptation options at landscape scale.
Finance & investment
What makes a dryland project bankable, which instruments fit which risk, and where the gaps are.
Policy & governance
Land tenure, regulation, institutional mandates and the policy conditions investment depends on.
MRV & data
Remote sensing, ground truthing, indicator design and the verification investors and funds require.
What is not on this page
A platform at this stage can only borrow credibility, and the fastest way to lose it is to borrow silently. So the distinction is drawn explicitly.
Not claimed
- Results from MNCRIP-implemented projects
- Lessons learned from MNCRIP’s own delivery
- Hectares restored by this platform
- Verified outcomes attributable to MNCRIP
Presented, with attribution
- Evidence from Mongolian and international research
- Experience of contributing projects and institutions
- National and UNCCD data on land and drought
- Method and practice from comparable dryland programmes
What will be published here
The knowledge layer is being assembled alongside the first prepared projects. As material clears review it appears here, each item carrying its source and its status.
Evidence notes
Short synthesis on a specific question a project has to answer.
Method guidance
How a technique is applied under Mongolian dryland conditions.
MRV frameworks
Indicator sets, baselines and verification approach per programme.
Reference data
Published national and international datasets, with provenance.
If you hold evidence, you are a partner
Universities, research institutes, monitoring programmes and technology providers enter the platform here — before capital does, and with more leverage over whether a project works.