Achieving land degradation neutrality: The role of SLM knowledge in evidence-based decision-making

Abstract WOCAT – The World Overview of Conservation Approaches and Technologies with its unique methodology and global Sustainable Land Management (SLM) database - can help promote scaling out of SLM and thus contribute to land degradation neutrality. This paper focuses primarily on three Land Degradation Neutrality (LDN) indicators: (i) land cover, (ii) land productivity and (iii) carbon stocks. It is demonstrated what can be achieved by analyzing SLM practices in the database and how these shed light on the LDN indicators. Different stages of interventions - from prevention (avoiding), to reduction (reducing), and restoration (reversing) of Land Degradation (LD) - are differentiated and analyzed. This highlights the fact that most efforts and achievements recorded by WOCAT focus on reducing and preventing LD: that stands in contrast to the current emphasis by many policy makers on the much more costly task of restoration. The use of the WOCAT-LADA (Land Degradation Assessment) mapping approach is illustrated, with a case study from Madagascar. Understanding and integrating mosaic pieces at the local level can help in comprehending impacts at the national and global levels as observed by remotely sensed imagery. Supporting land users with financial resources, an enabling legal framework and, in particular with knowledge and information about SLM practices is a logical and promising way forward to promoting adoption of SLM and, eventually, reaching LDN. With respect to creating an enabling environment for scaling out SLM and supporting land users, the analysis reveals that knowledge is the second greatest constraint after financial resources. This implies that further investment must be made in capacity building and sharing knowledge on impacts of SLM, costs-benefits and the spatial spread of SLM. Furthermore, this knowledge should be linked to a clear SLM mainstreaming and scaling out strategy, which will support countries to reach their LDN targets. A decision support framework was developed by the Food and Agriculture Organization of the United Nations (FAO) and WOCAT which guides countries in LD and SLM assessments, and the use of the results for formulating and informing SLM mainstreaming and scaling out.

[1]  Hanspeter Liniger,et al.  Economic Benefits and Costs of Sustainable Land Management Technologies: An Analysis of WOCAT's Global Data , 2018 .

[2]  Graciela Metternicht,et al.  Land in balance: The scientific conceptual framework for Land Degradation Neutrality , 2018 .

[3]  Gudrun Schwilch,et al.  Decision support for selecting SLM technologies with stakeholders , 2012 .

[4]  M. Kneubühler,et al.  Spatial assessment of erosion and its impact on soil fertility in the Tajik foothills , 2007 .

[5]  Michael O. Erdiaw-Kwasie,et al.  Rethinking sustainable development within the framework of poverty and urbanisation in developing countries , 2015 .

[6]  Rattan Lal,et al.  Achieving Zero Net Land Degradation: Challenges and opportunities , 2015 .

[7]  Graciela Metternicht,et al.  Unpacking the concept of land degradation neutrality and addressing its operation through the Rio Conventions. , 2017, Journal of environmental management.

[8]  H. Liniger,et al.  Sustainable Land Management (SLM) Practices in Drylands: How Do They Address Desertification Threats? , 2014, Environmental Management.

[9]  Hanspeter Liniger,et al.  Tools for better SLM knowledge management and informed decision-making in addressing land degradation at different scales: the WOCAT–LADA–DESIRE methodology , 2013 .

[10]  Andreas Fries,et al.  Effects of climate, land cover and topography on soil erosion risk in a semiarid basin of the Andes , 2016 .

[11]  M. Schaepman,et al.  Proxy global assessment of land degradation , 2008 .

[12]  Hanspeter Liniger,et al.  Synergizing global tools to monitor progress towards land degradation neutrality: Trends.Earth and the World Overview of Conservation Approaches and Technologies sustainable land management database , 2019, Environmental Science & Policy.

[13]  S. Wunder,et al.  Implementing Land Degradation Neutrality (SDG 15.3) at National Level: General Approach, Indicator Selection and Experiences from Germany , 2018 .

[14]  J. Bond A holistic approach to natural resource conflict: The case of Laikipia County, Kenya , 2014 .

[15]  Uriel Safriel,et al.  Land Degradation Neutrality (LDN) in drylands and beyond – where has it come from and where does it go , 2017 .

[16]  GIRMA TADDESE,et al.  Land Degradation: A Challenge to Ethiopia , 2001, Environmental management.

[17]  L. R. Oldeman,et al.  World map of the status of human-induced soil degradation: an explanatory note. , 1990 .

[18]  Q. B. Le Global Geo-informatics Options by Context (GeOC) Tool for Supporting Better Targeting and Scaling-out of Sustainable Land Management: Designing the System and Use Cases , 2017 .

[19]  Louise Willemen,et al.  Identifying ecosystem service hotspots for targeting land degradation neutrality investments in south-eastern Africa , 2016, Journal of Arid Environments.

[20]  U. Safriel,et al.  Operationalizing Zero Net Land Degradation: The next stage in international efforts to combat desertification? , 2015 .

[21]  H. Liniger,et al.  Sustainable land management in practice: guidelines and best practices for Sub-Saharan Africa , 2011 .

[22]  R. Lal Restoring Soil Quality to Mitigate Soil Degradation , 2015 .

[23]  H. Liniger,et al.  Contribution of community-based initiatives to the sustainable development goal of Land Degradation Neutrality , 2019, Environmental Science & Policy.

[24]  H. Liniger,et al.  Making sense of research for sustainable land management , 2017 .