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=== 3.7.2 Green walls and green dams === <div id="section-3-7-2-green-walls-and-green-dams-block-1"></div> This case study evaluates the experiences of measures and actions implemented to combat soil erosion, decrease dust storms, and to adapt to and mitigate climate change under the Green Wall and Green Dam programmes in East Asia (e.g., China) and Africa (e.g., Algeria, Sahara and the Sahel region). These measures have also been implemented in other countries, such as Mongolia (Do and Kang 2014; Lin et al. 2009), Turkey (Yurtoglu 2015 <sup>[[#fn:r1562|1562]]</sup> ; Çalişkan and Boydak 2017 <sup>[[#fn:r1563|1563]]</sup> ) and Iran (Amiraslani and Dragovich 2011 <sup>[[#fn:r1564|1564]]</sup> ), and are increasingly considered as part of many national and international initiatives to combat desertification (Goffner et al. 2019 <sup>[[#fn:r1565|1565]]</sup> ) (Cross-Chapter Box 2 in Chapter 1). Afforestation and reforestation programmes can contribute to reducing sand storms and increasing carbon sinks in dryland regions ( ''high confidence'' ). On the other hand, green wall and green dam programmes also decrease the albedo and hence increase the surface absorption of radiation, increasing the surface temperature. The net effect will largely depend on the balance between these and will vary from place to place depending on many factors. <div id="section-3-7-2-1-the-experiences-of-combating-desertification-in-china"></div> <span id="the-experiences-of-combating-desertification-in-china"></span> ==== 3.7.2.1 The experiences of combating desertification in China ==== <div id="section-3-7-2-1-the-experiences-of-combating-desertification-in-china-block-1"></div> Arid and semi-arid areas of China, including north-eastern, northern and north-western regions, cover an area of more than 509 Mha, with annual rainfall of below 450 mm. Over the past several centuries, more than 60% of the areas in arid and semi-arid regions were used as pastoral and agricultural lands. The coupled impacts of past climate change and human activity have caused desertification and dust storms to become a serious problem in the region (Xu et al. 2010). In 1958, the Chinese government recognised that desertification and dust storms jeopardised the livelihoods of nearly 200 million people, and afforestation programmes for combating desertification have been initiated since 1978. China is committed to go beyond the Land Degradation Neutrality objective, as indicated by the following programmes that have been implemented. The Chinese Government began the Three North’s Forest Shelterbelt programme in Northeast China, North China, and Northwest China, with the goal to combat desertification and to control dust storms by improving forest cover in arid and semi-arid regions. The project is implemented in three stages (1978–2000, 2001–2020 and 2021–2050). In addition, the Chinese government launched the Beijing and Tianjin Sandstorm Source Treatment Project (2001–2010), Returning Farmlands to Forest Project (2003–present), and the Returning Grazing Land to Grassland Project (2003–present) to combat desertification, and for adaptation and mitigation of climate change (State Forestry Administration of China 2015 <sup>[[#fn:r1566|1566]]</sup> ; Wang 2014 <sup>[[#fn:r1567|1567]]</sup> ; Wang et al. 2013 <sup>[[#fn:r1568|1568]]</sup> ). The results of the fifth monitoring period (2010–2014) showed: (i) compared with 2009, the area of degraded land decreased by 12,120 km <sup>2</sup> over a five-year period; (ii) in 2014, the average coverage of vegetation in the sand area was 18.33%, an increase of 0.7% compared with 17.63% in 2009, and the carbon sequestration increased by 8.5%; (iii) compared with 2009, the amount of wind erosion decreased by 33%, the average annual occurrence of sandstorms decreased by 20.3% in 2014; (iv) as of 2014, 203,700 km <sup>2</sup> of degraded land were effectively managed, accounting for 38.4% of the 530,000 km <sup>2</sup> of manageable desertified land; (v) the restoration of degraded land has created an annual output of 53.63 Mt of fresh and dried fruits, accounting for 33.9% of the total national annual output of fresh and dried fruits (State Forestry Administration of China 2015 <sup>[[#fn:r1570|1570]]</sup> ). This has become an important pillar for economic development and a high priority for peasants as a method to eradicate poverty (State Forestry Administration of China 2015 <sup>[[#fn:r1571|1571]]</sup> ). Stable investment mechanisms for combating desertification have been established along with tax relief policies and financial support policies for guiding the country in its fight against desertification. The investments in scientific and technological innovation for combating desertification have been improved, the technologies for vegetation restoration under drought conditions have been developed, the popularisation and application of new technologies has been accelerated, and the training of technicians to assist farmers and herdsmen has been strengthened. To improve the monitoring capability and technical level of desertification studies, the monitoring network system has been strengthened, and the popularisation and application of modern technologies have been intensified (e.g., information technology and remote sensing) (Wu et al. 2015). Special laws on combating desertification have been decreed by the government. The provincial government’s responsibilities for desertification prevention and controlling objectives and laws have been strictly implemented. Many studies showed that these projects generally played an active role in combating desertification and fighting against dust storms in China over the past several decades ( ''high confidence'' ) (Cao et al. 2018; State Forestry Administration of China 2015; Wang et al. 2013 <sup>[[#fn:r1573|1573]]</sup> ; Wang et al. 2014 <sup>[[#fn:r1574|1574]]</sup> ; Yang et al. 2013 <sup>[[#fn:r1576|1576]]</sup> ). At the beginning of the projects, some problems appeared in some places due to lack of enough knowledge and experience ( ''low confidence'' ) (Jiang 2016 <sup>[[#fn:r1578|1578]]</sup> ; Wang et al. 2010 <sup>[[#fn:r1579|1579]]</sup> ). For example, some tree species selected were not well suited to local soil and climatic conditions (Zhu et al. 2007), and there was inadequate consideration of the limitation of the amount of available water on the carrying capacity of trees in some arid regions (Dai 2011; Feng et al. 2016 <sup>[[#fn:r1580|1580]]</sup> ) (Section 3.6.4). In addition, at the beginning of the projects, there was an inadequate consideration of the effects of climate change on combating desertification (Feng et al. 2015 <sup>[[#fn:r1581|1581]]</sup> ; Tan and Li 2015). Indeed, climate change and human activities over past years have influenced the desertification and dust storm control effects in China (Feng et al. 2015 <sup>[[#fn:r1582|1582]]</sup> ; Wang et al. 2009 <sup>[[#fn:r1583|1583]]</sup> ; Tan and Li 2015), and future climate change will bring new challenges for combating desertification in China (Wang et al. 2017 <sup>[[#fn:r1584|1584]]</sup> ; Yin et al. 2015; Xu et al. 2019). In particular, the desertification risk in China will be enhanced at 2°C compared to 1.5°C global temperature rise (Ma et al. 2018). Adapting desertification control to climate change involves: improving the adaptation capacity to climate change for afforestation and grassland management by executing SLM practices; optimising the agricultural and animal husbandry structure; and using big data to meet the water resources regulation (Zhang and Huisingh 2018 <sup>[[#fn:r1588|1588]]</sup> ). In particular, improving scientific and technological supports in desertification control is crucial for adaptation to climate change and combating desertification, including protecting vegetation in desertification-prone lands by planting indigenous plant species, facilitating natural restoration of vegetation to conserve biodiversity, employing artificial rain or snow, water-saving irrigation and water storage technologies (Jin et al. 2014; Yang et al. 2013 <sup>[[#fn:r1589|1589]]</sup> ). <div id="section-3-7-2-2-the-green-dam-in-algeria"></div> <span id="the-green-dam-in-algeria"></span> ==== 3.7.2.2 The Green Dam in Algeria ==== <div id="section-3-7-2-2-the-green-dam-in-algeria-block-1"></div> After independence in 1962, the Algerian government initiated measures to replant forests destroyed by the war, and the steppes affected by desertification, among its top priorities (Belaaz 2003 <sup>[[#fn:r1591|1591]]</sup> ). In 1972, the government invested in the Green Dam ( ''Barrage vert'' ) project. This was the first significant experiment to combat desertification, influence the local climate and decrease the aridity by restoring a barrier of trees. The Green Dam extends across arid and semi-arid zones between the isohyets 300 mm and 200 mm. It is a 3 Mha band of plantation running from east to west (Figure 3.12). It is over 1200 km long (from the Algerian–Moroccan border to the Algerian–Tunisian border) and has an average width of about 20 km. The soils in the area are shallow, low in organic matter and susceptible to erosion. The main objectives of the project were to conserve natural resources, improve the living conditions of local residents and avoid their exodus to urban areas. During the first four decades (1970–2000) the success rate was low (42%) due to lack of participation by the local population and the choice of species (Bensaid 1995 <sup>[[#fn:r1592|1592]]</sup> ). The Green Dam did not have the desired effects. Despite tree-planting efforts, desertification intensified on the steppes, especially in south-western Algeria, due to the prolonged drought during the 1980s. Rainfall declined in the range from 18% to 27%, and the dry season has increased by two months in the last century (Belala et al. 2018 <sup>[[#fn:r1593|1593]]</sup> ). Livestock numbers in the Green Dam regions, mainly sheep, grew exponentially, leading to severe overgrazing, causing trampling and soil compaction, which greatly increased the risk of erosion. Wind erosion, very prevalent in the region, is due to climatic conditions and the strong anthropogenic action that reduced the vegetation cover. The action of the wind carries fine particles such as sands and clays and leaves on the soil surface a lag-gravel pavement, which is unproductive. Water erosion is largely due to torrential rains in the form of severe thunderstorms that disintegrate the bare soil surface from raindrop impact (Achite et al. 2016 <sup>[[#fn:r1594|1594]]</sup> ). The detached soil and nutrients are transported offsite via runoff, resulting in loss of fertility and water holding capacity. The risk of and severity of water erosion is a function of human land-use activities that increase soil loss through removal of vegetative cover. The National Soil Sensitivity to Erosion Map (Salamani et al. 2012 <sup>[[#fn:r1595|1595]]</sup> ) shows that more than 3 Mha of land in the steppe provinces are currently experiencing intense wind activity (Houyou et al. 2016 <sup>[[#fn:r1596|1596]]</sup> ) and that these areas are at particular risk of soil erosion. Mostephaoui et al. (2013), estimates that each year there is a loss of 7 t ha <sup>–1</sup> of soils due to erosion. Nearly 0.6 Mha of land in the steppe zone are fully degraded without the possibility of biological recovery. To combat the effects of erosion and desertification, the government has planned to relaunch the rehabilitation of the Green Dam by incorporating new concepts related to sustainable development, and adaptation to climate change. The experience of previous years has led to integrated rangeland management, improved tree and fodder shrub plantations and the development of water conservation techniques. Reforestation is carried out using several species, including fruit trees, to increase and diversify the sources of income for the population. The evaluation of the Green Dam from 1972 to 2015 (Merdas et al. 2015 <sup>[[#fn:r1597|1597]]</sup> ) shows that 0.3 Mha of forest plantation have been planted, which represents 10% of the project area. Estimates of the success rate of reforestation vary considerably between 30% and 75%, depending on the region. Through demonstration, the Green Dam has inspired several African nations to work together to build a Great Green Wall to combat land degradation, mitigate climate change effects, loss of biodiversity and poverty in a region that stretches from Senegal to Djibouti (Sahara and Sahel Observatory (OSS) 2016) (Section 3.7.2.3). <div id="section-3-7-2-2-the-green-dam-in-algeria-block-2"></div> <span id="figure-3.12b"></span> <!-- START IMG --> <!-- IMG TITLE --> '''Figure 3.12b''' <span id="location-of-the-green-dam-in-algeria-saifi-et-al.-2015.-note-the-green-coloured-band-represents-the-location-of-the-green-dam."></span> <!-- IMG CAPTION --> '''Location of the Green Dam in Algeria (Saifi et al. 2015). Note: The green coloured band represents the location of the Green Dam.''' <!-- IMG FILE --> [[File:852f131c5ef11fb337e11742bc73ccae Figure-3.12b-1024x577.jpg]] Location of the Green Dam in Algeria (Saifi et al. 2015 <sup>[[#fn:r1806|1806]]</sup> ). Note: The green coloured band represents the location of the Green Dam. <!-- END IMG --> <div id="section-3-7-2-3-the-great-green-wall-of-the-sahara-and-the-sahel-initiative"></div> <span id="the-great-green-wall-of-the-sahara-and-the-sahel-initiative"></span> ==== 3.7.2.3 The Great Green Wall of the Sahara and the Sahel Initiative ==== <div id="section-3-7-2-3-the-great-green-wall-of-the-sahara-and-the-sahel-initiative-block-1"></div> The Great Green Wall is an initiative of the Heads of State and Government of the Sahelo-Saharan countries to mitigate and adapt to climate change, and to improve the food security of the Sahel and Saharan peoples (Sacande 2018 <sup>[[#fn:r1598|1598]]</sup> ; Mbow 2017 <sup>[[#fn:r1599|1599]]</sup> ). Launched in 2007, this regional project aims to restore Africa’s degraded arid landscapes, reduce the loss of biodiversity and support local communities to sustainable use of forests and rangelands. The Great Green Wall focuses on establishing plantations and neighbouring projects, covering a distance of 7775 km from Senegal on the Atlantic coast to Eritrea on the Red Sea coast, with a width of 15 km (Figure 3.13). The wall passes through Djibouti, Eritrea, Ethiopia, Sudan, Chad, Niger, Nigeria, Mali, Burkina Faso, Mauritania and Senegal. The choice of woody and herbaceous species that will be used to restore degraded ecosystems is based on biophysical and socio-economic criteria, including socio-economic value (food, pastoral, commercial, energetic, medicinal, cultural); ecological importance (carbon sequestration, soil cover, water infiltration); and resilience to climate change and variability. The Pan-African Agency of the Great Green Wall (PAGGW) was created in 2010 under the auspices of the African Union and CEN-SAD to manage the project. The initiative is implemented at the level of each country by a national structure. A monitoring and evaluation system has been defined, allowing nations to measure outcomes and to propose the necessary adjustments. In the past, reforestation programmes in the arid regions of the Sahel and North Africa that have been undertaken to stop desertification were poorly studied and cost a lot of money without significant success (Benjaminsen and Hiernaux 2019 <sup>[[#fn:r1600|1600]]</sup> ). Today, countries have changed their strategies and opted for rural development projects that can be more easily funded. Examples of scalable practices for land restoration include managing water bodies for livestock and crop production, and promoting fodder trees to reduce runoff (Mbow 2017 <sup>[[#fn:r1601|1601]]</sup> ). The implementation of the initiative has already started in several countries. For example, the FAO’s Action Against Desertification project was restoring 18,000 hectares of land in 2018 through planting native tree species in Burkina Faso, Ethiopia, The Gambia, Niger, Nigeria and Senegal (Sacande 2018 <sup>[[#fn:r1602|1602]]</sup> ). Berrahmouni et al. (2016) <sup>[[#fn:r1807|1807]]</sup> estimated that 166 Mha can be restored in the Sahel, requiring the restoration of 10 Mha per year to achieve Land Degradation Neutrality targets by 2030. Despite these early implementation actions on the ground, the achievement of the planned targets is questionable, and will be challenging without significant additional funding. <div id="section-3-7-2-3-the-great-green-wall-of-the-sahara-and-the-sahel-initiative-block-2"></div> <span id="figure-3.13"></span> <!-- START IMG --> <!-- IMG TITLE --> '''Figure 3.13''' <span id="the-great-green-wall-of-the-sahara-and-the-sahel.-source-for-the-data-layer-this-dataset-is-an-extract-from-the-globcover-2009-land-cover-map-covering-africa-and-the-arabian-peninsula.-the-globcover-2009-land-cover-map-is-derived-by-an-automatic-and-regionally-tuned-classification-of-a-time-series-of-global-meris"></span> <!-- IMG CAPTION --> '''The Great Green Wall of the Sahara and the Sahel. Source for the data layer: This dataset is an extract from the GlobCover 2009 land cover map, covering Africa and the Arabian Peninsula. The GlobCover 2009 land cover map is derived by an automatic and regionally tuned classification of a time series of global MERIS […]''' <!-- IMG FILE --> [[File:7908b973d5538d2af6a02e2650686e0f Figure-3.13.jpg]] The Great Green Wall of the Sahara and the Sahel. Source for the data layer: This dataset is an extract from the GlobCover 2009 land cover map, covering Africa and the Arabian Peninsula. The GlobCover 2009 land cover map is derived by an automatic and regionally tuned classification of a time series of global MERIS (MEdium Resolution Imaging Spectrometer) FR mosaics for the year 2009. The global land cover map counts 22 land cover classes defined with the United Nations (UN) Land Cover Classification System (LCCS) <!-- END IMG --> <span id="invasive-plant-species"></span>
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