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Land Degradation and Sustainable Land Management Innovations in Central Asia

  • Alisher MirzabaevEmail author
Open Access
Chapter

Abstract

Land degradation affects about one-third of global terrestrial area and is having negative impacts on the incomes and food security of agricultural populations. The problem is also acute in the irrigated, rainfed and rangeland areas of Central Asia. There are numerous sustainable land management (SLM) technologies and practices which can help in addressing land degradation. However, many of these technologies have not been adopted at larger scales. The key underlying factors incentivizing SLM adoptions in Central Asia are found to be better access to markets, credit and extension, and secure land tenure. The adoption of SLM technologies can lead to improvements in income among agricultural households, especially the poor. However, SLM technologies alone cannot address land degradation in the region. SLM-friendly policies and institutions are essential.

Keywords

Land degradation Food security Central Asia Sustainable land management Technology adoption 

Introduction

Land degradation is a global problem affecting 29 % of the global area across all agro-ecologies and 3.2 bln people around the world (Le et al. 2014), especially the poorest (Nachtergaele et al. 2010). The Central Asia n countries of Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan and Uzbekistan (Fig. 13.1) are also strongly affected by land degradation, with negative consequences on crop and livestock productivity, agricultural incomes, and rural livelihoods (Pender et al. 2009). The costs of land degradation in the region are substantial (Mirzabaev et al. 2015), with negative implications, especially on the livelihoods of the poorest rural agricultural households (ibid.).
Fig. 13.1

Population density in Central Asia (Source: Philippe Rekacewicz, UNEP/GRID-Arendal, http://www.grida.no/graphicslib/detail/population-density-central-asia_30dd)

Land degradation in the region is best analyzed along its major agro-ecological zones: secondary salinization is the biggest problem in the irrigated lands, soil erosion in the rainfed and mountainous areas, and loss of vegetation, desertification or detrimental change in the vegetation composition in the rangelands (Gupta et al. 2009). Secondary salinization is estimated as covering from 40 % to 60 % of the irrigated areas in the region (Qadir et al. 2008), while 11 million ha of rainfed areas in Kazakhstan are affected by wind erosion (Pender et al. 2009). The rangelands cover about 65 % of Central Asia (Mirzabaev 2013), of which 15–38 %, depending on the country, have been found to have degraded between 1982 and 2006 (Le et al. 2014).

Land degradation affects the poorest parts of the region the hardest (Mirzabaev et al. 2015). In spite of this, the adoption of SLM technologies in Central Asia remains inadequate (Gupta et al. 2009), being especially low among poor agricultural households (Mirzabaev et al. 2015). This is despite the availability of many such technologies which have been demonstrated to be economically more profitable than traditional practices (Pender et al. 2009).

In this context, the present study seeks to answer two research questions:
  1. 1.

    What are the key constraints, drivers and impacts of SLM adoption in the region?

     
  2. 2.

    What are the lessons learnt from previous successful experiences of SLM adoption?

     

To answer these questions, the existing literature on land degradation and sustainable land management in the region has been analyzed and systematically evaluated.

The Conceptual Framework

The current study is guided by the Economics of Land Degradation (ELD) conceptual framework developed in Nkonya et al. (2015) and von Braun et al. (2013). The conceptual framework (Fig. 13.2) categorizes the causes of land degradation into proximate and underlying, the interactions of which result in different levels of land degradation. Proximate causes of land degradation are those that have a direct effect on the terrestrial ecosystem, such as biophysical natural causes and unsustainable land management practices. The underlying causes of land degradation are those that indirectly affect the proximate causes of land degradation, such as institutional, socio-economic and policy factors (Nkonya et al. 2015).
Fig. 13.2

The conceptual framework (Source: von Braun et al. (2013))

Inaction against land degradation would lead to continuation, or even acceleration, of land degradation and its associated costs, including the losses in ecosystem services. The lack of appropriate integration of the value of ecosystem services into decision-making – because many of these services are not traded and have no market prices – would mean their value is equalized to zero, leading to more land degradation. However, besides its benefits, action against land degradation also involves costs (von Braun et al. 2013).

The conceptual framework also highlights the role of off-site costs and benefits of land degradation. The actions of individual land users are usually guided by the on-site costs of land degradation and on-site benefits from taking SLM actions. In case on-site costs of land degradation do not exceed the costs of adopting SLM, it may be economically irrational for landusers to adopt SLM practices. However, this lack of SLM adoption may result in significant off-site costs to be borne by third parties or by the society as a whole, necessitating public action for internalizing these externalities. In the case of the poor smallholder farmers often barely eking out their livelihoods from degrading lands, the application of the principle “the polluter pays” may not be feasible. Instead, there may be a need for supportive polices to encourage their adoption of SLM. As long as the social benefits from applying the SLM measures exceed the social costs incurred from incentivizing the land users to adopt them, such public interventions supporting SLM would still be socially more optimal than inaction. Moreover, as the experiences from around the world show, in many instances, poor smallholder landusers do not adopt SLM measures even when the adoption costs are much lower than the on-site benefits from SLM adoption. Thus, public action stimulating SLM is strongly justified, not only in terms of minimizing negative externalities of land degradation, but also for reducing poverty among smallholder landusers.

Constraints, Drivers and Impacts of SLM Adoption in Central Asia

The constraints to adoption of SLM technologies in the region are numerous and have varying salient features across the major agro-ecological zones (Table 13.1). However, the major constraints across all agro-ecologies seem to be similar. SLM adoption usually does not occur because of one single factor, but is a result of complex interaction of various drivers. For example, in irrigated areas, continued subsidies for irrigation create disincentives to economize on water and adopt water-saving technologies. Across all agro-ecologies, the lack of farmers’ and pastoralists’ awareness or training in use of appropriate practices, and the lack of adaptation of practices to local conditions, are considered major constraints, especially in combination with poorly functioning extension services (Gupta et al. 2009). The lack of access to credit inhibits the purchase of appropriate equipment, such as, for example, raised bed planters, or conservation agriculture machinery, such that farmers often have to rely on outdated and unproductive equipment from the Soviet era (ibid.). Agricultural production and marketing decisions for major crops are controlled by the governments in some countries, and market institutions are underdeveloped or lacking. Coupled with continuing land tenure insecurity, these limit producer incentives and serve as powerful deterrents to SLM adoption (Pender et al. 2009). In rangeland areas, effective pasture management mechanisms are lacking and pasture leasing is not clearly regulated in most countries in the region. Similarly, the interaction of lower disposable farm profits and low access to credit markets prevents farmers from investing in costly, but profitable in the long- term, technologies for sustainable land management. Poverty and low market access, especially in mountainous areas, but also in all other agro-ecologies, increase risk aversion and limit the available resources that could be invested in SLM.
Table 13.1

Factors constraining SLM adoption in Central Asia

Irrigated

Rainfed

Rangeland

Mountainous

Population pressure, low incomes

Shortage of labor, working capital and capital assets, such as new machinery

Population pressure, poverty among small-scale herders

Population pressure, poverty

Subsidized irrigation water

Risk-averseness and slow behavioral change in upgrading to more sustainable agricultural practices (specifically, from excessive tillage to conservation agriculture)

Lack of market access

Lack of market access

Land tenure insecurity

Mono-cropping practices

Breakdown of collective action institutions regulating and facilitating access to remote rangelands

Breakdown of collective action institutions regulating and facilitating access to remote rangelands

Insufficient information on SLM technologies, Poor quality of agricultural extension

Insufficient information on SLM technologies, Poor quality of agricultural extension

Insufficient information on SLM technologies, Poor quality of agricultural extension

Insufficient information on SLM technologies, Poor quality of agricultural extension

Lack of access to credit for adopting SLM

 

Shortage of herding labor due to rural out-migration

Lack of access to credit for adopting SLM

Production and marketing controls

  

Shortage of labor due to rural out-migration

Institutional disconnections between various levels of water management

  

Land tenure insecurity

Sources: CACILM (2006a, b, c, d, e), Pender et al. (2009), Gupta et al. (2009), Kerven (2003)

The above constraints and drivers of SLM adoption were based on expert evaluations. In this regard, it would also be important to look at household level evidence of the constraints on the adoption of SLM technologies. Analyzing the household level data from surveys, Mirzabaev (2013) indicates that major constraints for SLM adoption in the region pointed out by farming households themselves are lack of access to credit and affordable inputs, including water, but also lack of information about SLM technologies (Fig. 13.3). These factors seem to be especially constraining for the adoption of SLM technologies by poor farmers.
Fig. 13.3

Constraints on SLM adoption in Central Asia (Source: Mirzabaev (2013))

In this regard, it is also telling that the adoption of SLM practices was found to be lower among the poorest agricultural households (Fig. 13.4), despite the fact that these poorest households, in most cases, seem to be operating more degraded land than the richer households in the sample (Fig. 13.5).
Fig. 13.4

Use of SLM technologies among agricultural households with different incomes. Note: categories: 1-poorest, … 5-richest (Source: Mirzabaev (2014))

Fig. 13.5

Status of land quality among agricultural households of different incomes. Note: categories: 1-poor, 2-middle, 3-rich (Source: Mirzabaev (2014))

More formally, analyzing these household surveys, Mirzabaev et al. (2015) find that key underlying factors incentivizing SLM adoption in Central Asia are better market access, access to extension, learning about SLM from other farmers, private land tenure among smallholder farmers, livestock ownership among crop producers, lower household sizes and lower dependency ratios. Better market access is likely to provide more incentives for increased production and productivity, making the opportunity cost of foregone benefits due to land degradation much higher, thus incentivizing the households for SLM adoption (ibid.). Similarly, access to extension is found to increase the number of SLM adoptions by increasing farmers’ knowledge about SLM practices and their awareness of the benefits of SLM. The greater number of SLM technologies farmers know, the more SLM technologies they adopt (ibid.).

The adoption of SLM technologies could lead to better livelihood outcomes for the agricultural households, specifically the poorest 10 % of them (Mirzabaev 2014). Each adopted SLM technology was found to be likely to increase the monetary value of per capita food consumption by 3 % for the poorest 10 % of agricultural households, while the effect is less pronounced for the richer categories of agricultural households (ibid.: Fig. 13.6).
Fig. 13.6

Adoption of SLM technologies and per capita food expenses (Source: Mirzabaev (2014))

Summarizing these findings, the key factors incentivizing SLM adoption in Central Asia have been found to be better access to markets, credit and extension, and secure land tenure.

Lessons Learnt from Previous Experiences

The literature points to many available and economically viable sustainable land and water management practices that can help reduce land degradation and promote sustainable crop and livestock production in Central Asia (Gupta et al. 2009; Pender et al. 2009; Table 13.2).
Table 13.2

Major SLM technologies recommended in the literature for Central Asia

Irrigated

Rainfed

Rangeland

Mountainous

Improved irrigation technologies (cutback, alternate furrow, micro-furrow, drip irrigation)

Zero tillage and direct seeding

Rotational grazing

Strip cropping

Laser land levelling

Mulching

Establishing protected areas

Drip irrigation

Permanent raised beds

Water harvesting and supplementary irrigation

Reseeding

Use of plastic chutes for irrigation

Zero tillage, direct seeding, and mulching

Crop diversification with legumes

Planting halophytic and drought-tolerant plants

Contour furrow irrigation

Crop diversification with legumes

Chemical fallow

Increasing herd mobility

Terracing

Use of phosphogypsum for sodic soils

Continuous cropping without summer fallow

Integrated crop-livestock-rangeland management

 

Tree plantations and bio-drainage, Planting halophytic plants (ex, licorice)

Use of fertilizers

Chemical fallow

 

Sources: Mirzabaev (2014), who compiled from Gupta et al. (2009), Pender et al. (2009), Toderich et al. (2002), Toderich et al. (2008a, b), Lamers and Khamzina (2008), Lamers et al. (2009), ICARDA (2002, 2003, 2004, 2005, 2006)

Of particularly high potential are measures to increase the efficiency of irrigation water use: using such technologies as cutback and alternate furrow irrigation, raised bed cultivation, improved leaching methods, conjunctive or alternating use of drainage and fresh water, conservation tillage, and crop rotations and diversification. Other promising measures include use of soil and water conservation measures, organic soil fertility management practices, improved use of fertilizers, use of rock phosphate and phosphogypsum where these are useful and economical and improved rangeland and fodder management (ICARDA 2002, 2003, 2004, 2005, 2006).

The impacts of most of these measures are highly context-dependent (Pender et al. 2009). Despite the higher profitability of many of these technologies as compared to traditional practices, the adoption has been limited (ibid). This is due to the large number of factors highlighted in the section above. For example, Pender et al. (2009) indicate that raised bed planters may cost about $4000 (US) to import from India (as there is no local production). Although the annualized cost per hectare of such equipment is low, the high initial cost could be prohibitive for individual smallholder farmers, requiring adequate credit, collective action or development of lease markets to make this equipment accessible (ibid.).

However, despite many constraints, there have been two major successful new technology adoption s in the region over the last two decades, which can provide lessons on the adoption of SLM practices. The first is the planting of winter wheat among standing cotton, instead of the earlier practice of removing the cotton stalks, tilling the land and only then planting the winter wheat. This practice has now been widely adopted in almost all irrigated cotton-winter wheat crop rotations in the region, especially in Uzbekistan. The second is the spread of reduced and zero till technologies in northern Kazakhstan for rainfed production of grain crops (Kienzler et al. 2012). Both of these technologies are now applied on millions of hectares in the region.

In both cases, the wide-scale adoption seems to have been made possible by the confluence of several factors, such as strong government support, strong market incentives, availability of local expertise and the national agricultural research systems actively working to develop these technologies. To illustrate, the Government of Uzbekistan was quick in taking up the technology of direct wheat planting into standing cotton developed by the national agricultural research system and has broadly mandated the use of the technology starting from early 1990s. Until that time, cotton was by far the single most important crop planted in the country. However, with the collapse of trade and mutual exchanges after the break-up of the Soviet Union, the need emerged to develop national wheat production rapidly to maintain food security in the country. Millions of hectares were shifted from cotton to wheat in a matter of a couple of seasons. The crop calendars for cotton and winter wheat left a very narrow window between the harvest of cotton in the fall and the planting of winter wheat. Moreover, additional tillage operations also required massive use of scarce fuel resources. These three factors, lack of time between cotton harvest and winter wheat planting and fuel savings, plus strong Government mobilization , have led to rapid adoption of this technology throughout Uzbekistan. Similarly, conservation agriculture and its elements have been researched in Kazakhstan for many decades. Some elements, such as reduced tillage, were adopted even during the Soviet times. From the 1990s, there have been massive research and demonstration efforts regarding zero tillage by the national and international agricultural centers working in the country, but without much wide-scale adoption until the early-to-mid 2000s, when the Government of Kazakhstan provided subsidies the equivalent of about $7 (US) per ha for the adoption of conservation agriculture practices in the country. Although this amount seems quite small, coupled with significant cost savings in fuel use, especially in the context of super-sized rainfed farms in the north of the country, this incentive has proved to be crucial in rapid spread of conservation tillage in the country, reducing soil erosion and making grain production more resilient to recurrent droughts in northern Kazakhstan (Kienzler et al. 2012).

So, these experiences yield the lesson that the availability of SLM technologies is, of course, vital. However, in the context of Central Asia, at least, but probably also beyond, wide-scale adoption requires cooperation between the Governments, research institutes, and extension services, and all these should be supported by market forces and farmer incentives, and not work against the latter. To give a different example, the Governments in the region have been trying to promote drip irrigation through subsidies and soft loan programs. However, the success of these initiatives has so far been limited. The water is not priced and its supply is highly subsidized in the region. In such a context, drip irrigation loses its major attraction, i.e., saving water resources; because water is free, there are no incentives to save it at the individual farm level, even if there are strong incentives to save water at the national level since, in the context of water scarcity, overuse in upstream areas would mean lack of water in downstream areas.

Conclusions

The key underlying factors incentivizing SLM adoption in Central Asia are found to be better market access, access to extension and credit, access to well-informed peer networks among farmers, private land tenure among smallholder farmers, and livestock ownership among crop producers. Adopting SLM technologies could have positive impacts on rural household food consumption, especially among the poorest. However, SLM technologies alone cannot address land degradation in the region. SLM-friendly policies and institutions are essential. The examples of success stories of sustainable land management reviewed here have occurred as a result of the combination and interaction of technological, social and economic changes, achieved through synergies of bottom-up and top-down approaches in the region.

References

  1. Central Asian Countries Initiative for Land Management (CACILM) (2006a) Republic of Kazakhstan national programming framework. Prepared by UNCCD National Working Group of the Republic of Kazakhstan. Draft, 01 Feb 2006Google Scholar
  2. CACILM (2006b) Republic of Kyrgyzstan national programming framework. Prepared by UNCCD national working group of the Kyrgyz Republic. Draft, 01 Feb 2006Google Scholar
  3. CACILM (2006c) Republic of Tajikistan national programming framework. Prepared by UNCCD National working group of the Republic of the Republic of Tajikistan. Draft, 14 Mar 2006Google Scholar
  4. CACILM (2006d) Turkmenistan national programming framework. Prepared by Turkmenistan UNCCD national working group. 28 Febr 2006Google Scholar
  5. CACILM (2006e) Republic of Uzbekistan national programming framework. Prepared by Republic of Uzbekistan UNCCD national working group. Draft, 28 Feb 2006Google Scholar
  6. Gupta R, Kienzler K, Mirzabaev A, Martius C, de Pauw E, Shideed K, Oweis T, Thomas R, Qadir M, Sayre K, Carli C, Saparov A, Bekenov M, Sanginov S, Nepesov M, Ikramov R (2009) Research prospectus: a vision for sustainable land management research in Central Asia. ICARDA Central Asia and Caucasus program, Sustainable agriculture in Central Asia and the caucasus series no 1. CGIAR-PFU, Tashkent, p 84Google Scholar
  7. ICARDA (2002) Integrated feed and livestock production in the steppes of Central Asia. Project annual report (2001–2002), IFAD technical assistance grant (TAG): ICARDA-425. International Center for Agricultural Research in the Dry Areas, Beirut, p 207Google Scholar
  8. ICARDA (2003) On-farm soil and water management for sustainable agricultural systems in Central Asia, ADB-RETA 5866. TashkentGoogle Scholar
  9. ICARDA (2004) Annual report. Improving rural livelihoods through efficient on-farm water and soil fertility management in Central Asia. Phase II (2004–2006) Project supported by ADB: RETA 6136. TashkentGoogle Scholar
  10. ICARDA (2005) Annual report. Improving rural livelihoods through efficient on-farm water and soil fertility management in Central Asia. Phase II (2004–2006) Project supported by ADB: RETA 6136. TashkentGoogle Scholar
  11. ICARDA (2006) Annual report. Improving rural livelihoods through efficient on-farm water and soil fertility management in Central Asia. Phase II (2004–2006) Project supported by ADB: RETA 6136. TashkentGoogle Scholar
  12. Kerven C (ed) (2003) Prospects for pastoralism in Kazakhstan and Turkmenistan: from state farms to private flocks. Routledge Curzon, London, p 276Google Scholar
  13. Kienzler KM, Lamers JPA, McDonald A, Mirzabaev A, Ibragimov N, Egamberdiev O, Ruzibaev E, Akramkhanov A (2012) Conservation agriculture in Central Asia – what do we know and where do we go from here? Field Crops Res 132:95–105CrossRefGoogle Scholar
  14. Lamers JPA, Khamzina A (2008) Woodfuel production in the degraded agricultural areas of the Aral Sea Basin, Uzbekistan. Bois et Forêts des Tropiques 297:47–57Google Scholar
  15. Lamers JPA, Bobojonov I, Khamzina A, Franz J (2009) Financial analysis of small-scale forests in the Amu Darya Lowlands, Uzbekistan. Forests, Trees and Livelihoods (Accepted Vol 19–1)Google Scholar
  16. Le QB, Nkonya E, Mirzabaev A (2014) Biomass productivity-based mapping of global land degradation hotspots. ZEF Discussion Papers No 192. Center for Development Research, Bonn, Feb 2014, p 42Google Scholar
  17. Mirzabaev A (2013) Climate volatility and change in Central Asia: economic impacts and adaptation. Doctoral thesis at Faculty of Agriculture, University of Bonn, BonnGoogle Scholar
  18. Mirzabaev (2014) Building the resilience of the poor through sustainable land management. Presentation during the IFPRI 2020 resilience conference side-event on 15 May 2014 in Addis Ababa, EthiopiaGoogle Scholar
  19. Mirzabaev A, Goedecke J, Dubovyk O, Djanibekov U, Nishanov N, Aw-Hassan A (2015) Economics of land degradation in Central Asia. In: Nkonya E, Mirzabaev A, von Braun J (eds) The economics of land degradation and improvement – a global assessment for sustainable development. Springer, DordrechtGoogle Scholar
  20. Nachtergaele F, Petri M, Biancalani R, Van Lynden G, Van Velthuizen H (2010) Global Land Degradation Information System (GLADIS). Beta Version. An information database for land degradation assessment at global level, Land degradation assessment in Drylands technical report No 17. Food and Agriculture Organization of the United Nations, RomeGoogle Scholar
  21. Nkonya E, Mirzabaev A, von Braun J (2015) The economics of land degradation, and improvement – a global assessment for sustainable development. Springer, DordrechtGoogle Scholar
  22. Pender J, Mirzabaev A, Kato E (2009). Economic analysis of sustainable land management options in Central Asia, Final report for the ADB. International Food Policy Research Institute and International Center for Agricultural Research in the Dry Areas, Washington DC/BeirutGoogle Scholar
  23. Qadir M, Noble AD, Qureshi AS, Raj Gupta, Yuldashev T, Karimov A (2008) Land and water quality degradation in Central Asia: a challenge for sustainable agricultural production and rural livelihoods. (Submitted)Google Scholar
  24. Toderich K, Tsukatani T, Mardonov B, Gintzburger G, Zemtsova O, Tsukervanik E, Shuyskaya E (2002) Water quality, cropping and small ruminants: a challenge for the future agriculture in dry areas of Uzbekistan, Discussion paper No 553. Kyoto Institute of Economic Research, Kyoto University, KyotoGoogle Scholar
  25. Toderich K, Tsukatani T, Shoaib I, Massino I, Wilhelm M, Yusupov S, Kuliev T, Ruziev S (2008a) Extent of salt-affected land in Central Asia: biosaline agriculture and utilization of salt-affected resources, Discussion paper No 648. Kyoto Institute of Economic Research, KyotoGoogle Scholar
  26. Toderich K, Shoaib I, Juylova E, Rabbimov A, Bekchanov B, Shuyskaya E, Gismatullina L, Osamu K, Radjabov T (2008b) New approaches for biosaline agriculture development, management and conservation of sandy desert ecosystems. In: Abdelly C, Ozturk M, Ashraf M, Grignon K (eds) Biosaline agriculture and high salinity tolerance. Birkhäuser Verlag, BaselGoogle Scholar
  27. von Braun J, Gerber N, Mirzabaev A, Nkonya E (2013) The economics of land degradation, ZEF working paper 109. Center for Development Research, BonnGoogle Scholar

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Authors and Affiliations

  1. 1.Center for Development Research (ZEF)University of BonnBonnGermany

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