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Semi-arid agroecosystems are crucial for food security and ecosystem services, but land degradation threatens their sustainability. This study assessed land degradation neutrality (LDN) in a semi-arid agroecosystem of Matabeleland North Province, Zimbabwe, leveraging trends.earth within QGIS and data from the European Space Agency Climate Change Initiative (1992–2020). We analysed land use/land cover (LULC), soil organic carbon (SOC), and land productivity to identify areas of degradation and stability. Additionally, we simulated 2050 land-use/land-cover maps using a cellular automata model within a GIS framework assuming a business-as-usual scenario. The model considered the 2015 LULC map as a baseline along with environmental variables such as the digital elevation model and slope. While historical trends (1992–2020) showed a decrease in bare areas (-71%) and an increase in settlements (+ 163%), cellular automata modeling predicted a concerning future trajectory with further expansion of bare land (+ 238%) and settlements (+ 72%) by 2050, alongside a decline in water bodies (-23%) and forests (-3.5%). Notably, around 26.5% of the land exhibited degradation, often linked to low SOC levels in croplands, while 59.55% remained stable over the study period. However, caution is necessary as increases in greenness may not always reflect positive restoration. Land cover transitions, particularly the conversion of forests to grasslands and settlements, emerged as potential drivers of degradation, likely leading to ecosystem service loss, habitat fragmentation, and potentially exacerbating the impacts of climate change. These findings highlight the urgent need for targeted restoration and land management strategies focused on improving SOC levels in croplands and conserving vital forest and grassland ecosystems to achieve LDN in this semi-arid region. Further research is needed to quantify specific degradation drivers, assess the effectiveness of intervention strategies, and explore the socio-economic dimensions of land degradation and LDN efforts. [ABSTRACT FROM AUTHOR]

Climate change in developing nations has become a severe obstacle to extensive land productivity. Farmer's resilience to climate change impact can be boosted via adaptation measures. Smallholder farmers' expertise, however, can be fragmented and inconsistent, especially in times of climatic stress. It is worth mentioning that social networks play a part in how farmers decide how to adapt. Formal and informal social ties are the categories we use to categorize social networks. Using primary data obtained from banana growers on the island of Ngazidja in the Comoros archipelago, this study need to analyze the variable effects of social ties on farmers' adaptation decisions and further assess the impact of adaptation strategies on land productivity under climate change. According to the findings, less than 32% of banana growers used adaptation measures to lessen the effects of climate change on agricultural practices. Banana producers favored replanting trees, boosting sucker reduction, improving irrigation, and mixing crops. Farmers applied adaptation tactics at a higher rate when they were members of agricultural cooperatives and connected to sellers of agricultural inputs. The connection to local farmers, on the other hand, prevented farmers from taking proactive measures to counteract climate change. We also revealed that banana producers' land production increased dramatically due to adaptation measures. These results illustrate the significance of smallholder farmers' various social connections when formulating a policy package to improve land productivity and increase their responses to climate change. [ABSTRACT FROM AUTHOR]

Land degradation is a global environmental problem that affects the livelihoods of communities. Understanding the extent and causative factors of this phenomenon is important to design the cause-targeted strategies to cope with this problem. This study aimed to assess the effects of biophysical and socio-economic factors on the occurrence of land productivity degradation at the territorial level in Eastern DR Congo, using the Kalehe territory as a case study. The land productivity dynamics were determined based on the trend analysis of Landsat-based NDVI annual composites over the 1987-2020 period. Additionally, a binary logistic regression model was developed to identify the determinant factors and to map the susceptibility of this degradation at the territorial level. The results revealed that 31.25% (1303.175 km2) of the territory had experienced a decrease in land productivity, with 10.8% (453.83 km2) characterized by a significant decrease at the confidence level of 90%, representing the hotspots area of land productivity degradation where conservation actions should be prioritized. This decrease in land productivity is location-specific as it depends on the land cover types and health zones. It is likely to occur at high altitudes, in areas close to artisanal mining sites, rivers, and administrative centers. These results imply that policy interventions to cope with the problem of land productivity degradation should be developed following the heterogeneity of the landscape, and sustainable land management practices that take into account both the biophysical and socio-economic drivers of land degradation should be implemented in this region to achieve the land degradation neutrality by 2030.

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Unpowered Automatic Fertigation (FONi) is a new technology developed by IPB University. FONi applies the concept of evapotranspiration irrigation, which can meet plants' water needs at any time without using electricity. FONi is a series of plant pots connected to a water supply tank, and the water level is maintained to form a connected vessel system. The nutrient solution can be put into a water tank to make fertilizer application more practical. This activity aims to introduce FONi to the broader community so that it can utilize nonproductive land for planting valuable vegetables and getting feedback for further development. Types of vegetables cultivated are long beans intercropped with kale. This activity was carried out in a residential area located on Jl. Burujul II, RW 03, Cipedes, Tasikmalaya City, West Java. Activities range from designing, installing, planting, maintaining, observing, harvesting, and explaining to the community, local government, and mass media. After 14 days, kale was picked, while long beans were picked after 48 days. Within 48 days, the prolonged bean harvest reached 3 Kg with land and water productivity of 2.9 kg m-2 and 2.3 kg L-1, respectively. CCTV monitoring shows prolonged bean picking is still carried out for up to 60 days. The economic value of cultivating long beans and kale in one season exceeds the cost of construction and production. The public's interest is high, implied by a strong desire to apply it. If this activity continues, it is hoped that the nutritional needs and adequacy of safe and healthy vegetables for all residents in the future can be fulfilled and that it will strengthen the image of Tasikmalaya City as a Kota Resik. [ABSTRACT FROM AUTHOR]

The aim of this study was to identify the long-term tendencies regarding the land use in farms of different sizes in Poland and Czechia, with special focus on small-scale farms. The article answers the question about functioning of small farms in Poland and Czechia, as they represent different structures of land use among farms. On the one hand, the land fragmentation in Poland, and on the other hand, domination of large farms in Czechia, with a lower share of small farms. To achieve the aim, the study used data from the Farm Structure Survey (FSS) and Agricultural Census (2010, 2020) from Eurostat for six periods (2005, 2007, 2010, 2013, 2016, 2020) and selected data for recent years from the World Bank database. In the period under analysis, it can be observed that there is a significant decline in the number of small farms both in Poland and Czechia, while the decrease in utilized agricultural area was smaller. Hence, the average area of farm increased which helped them to improve the land productivity, while increasing the standard output per hectare of utilized agricultural area. The analysis showed that there are two different models of the position of small farms in the Polish and Czech agricultural sectors, however, some positive and desired tendencies occur in both systems. [ABSTRACT FROM AUTHOR]

Oil palm (Elaeis guineensis) is considered as the world's leading edible oil producing plant and in tropical countries well established as a perennial plantation crop. Oil palm has spread over 10,000 hectares in the wet zone of the Island. Immature phase of oil palm plantation up to 5 years, there is sufficient space available inside the cultivation. Land productivity in immature plantations could be sustainably increased with some selected intercrops. A field experiment is being conducted at Thalgaswella Estate (6° 24′ 60″ °N, 80° 27′ 44″ °E. 48 m above sea level, WL2a) in Galle district to investigate the suitability of different intercrops during the immature phase. Banana, ginger, and turmeric were selected as intercrops. The experiment was designed with Randomized Complete Block Design (RCBD) with four treatments, including three replicates. Growth parameters of intercrops and maincrop were taken at 2 months intervals. Yield of intercrops were taken accordingly. In addition to this, the chlorophyll content of leaves was also measured in both intercrops and main crop. Soil chemical parameters were measured annually. There was a significant difference in the height of banana plants and the leaf width of Turmeric grown under oil palm during the first year of this experiment. Intercropped turmeric, ginger, and banana have given yields 4875, 4500, and 7550 kg/ha, respectively. During immature phase of the oil palm hardly any income to the grower, hence intercropping will give a very good chance to gain an income before the first harvest of oil palm being done. Percentage yields of intercrops were shown in banana, turmeric, and ginger as 60.64%, 32.8%, and 61.22% respectively against the monocrop and findings will help to make sustainable use of lands in oil palm plantations. [ABSTRACT FROM AUTHOR]

The study evaluated the land productivity of root crop farmers amidst pesticide application in southeast, Nigeria. 358 root crop producers were chosen using a multi-stage sample and given a questionnaire. The analysis of the data included the use of mean, frequency, percentage, total factor and partial factor productivity, analysis of variance, multiple regression model, and local average treatment effect (LATE). Data were acquired using primary means. The results show that root crop growers were mostly women (76.9%), married (85.1%), educated (mean=12.0), and in their prime working age (51). Estimates of total factor productivity (TFP) and partial factor productivity (PFP) gave 7.69 and 177.25, which indicates higher land productivity values across Imo, Abia, and Ebonyi State. Education, access to farm inputs, soil/land improvement practices, size of farm, and extension relations were important components of land productivity across the States. Use and application of pesticides according to specified recommendation increased land productivity by (727.07%) and (880.28%). Erosion problems (99.7%), pests and disease (96.9%), high cost of inputs (99.1%), climate change (99.4) and land fragmentation (93.0%) constrained land productivity in the States. Study recommends farmers to practice more of land improvement practices and adhere to specified pesticide use and application to increase land productivity

China’s crop structure has undergone significant changes in the last two decades since 2000, with an increase in the share of cereals, vegetables, and fruit, squeezing out other crops. As a result, land productivity, nutrient supply, and carbon emissions have changed. How to reallocate limited farmland among crops to achieve the multiple goals of agrifood systems becomes an important issue. This study explores the sources of land productivity and nutrition supply growth and carbon emissions reduction, and identifies the multiple roles of crop structural change from 2003 to 2020 based on a decomposition analysis. The results reveal that the growth within crops is still the primary driver in land productivity and nutrition supply and the reduction in carbon emissions. However, structural change also plays various roles at different periods. From 2003 to 2010, crop structural change increased the total calorie supply but lowered land productivity and contributed at least 70% of the total growth of carbon emissions. The crop structure was relatively stable, and their effects were modest from 2010 to 2015. From 2015 to 2020, the crop structural change began to play a greater role and generate synergistic effects in improving land productivity, micronutrient supply, and reducing carbon emissions, contributing to approximately a quarter of the growth of land productivity and 30% of total carbon emissions reduction. These results suggest that strategies for crop structural change should comprehensively consider its multiple impacts, aiming to achieve co-benefits while minimizing trade-offs.

Agricultural production, including animal husbandry, is associated with greenhouse gas (GHG) emissions, which have a negative impact on the environment. The purpose of this study was to determine methane and nitrous oxide emissions at the level of individual farms and to identify differences in emissions by type of production. Analyses were conducted using data from the FADN agricultural accounting system, covering the farms in Poland engaged in dairy production and the breeding of other grazing livestock for the period from 2012 to 2021. The relationships and trends of the indicators during the study period were also analyzed. The statistical analysis confirmed the relationship between greenhouse gas emissions and economic performance. In the case of dairy farms, the emissions averaged 137.09 kg·ha−1 of methane and 94.05 kg·ha−1 of nitrous oxide, which were found to increase as the net-added value and farm income increased. The results of the presented research highlight the existence of a link between economic goals and GHG emissions, which is an important contribution to the development of mitigation strategies in livestock production. [ABSTRACT FROM AUTHOR]

To address the issue of low soil nutrients and low crop yields in coastal alkaline salines, a field experiment of straw combined with plastic film mulching in coastal alkaline salines was conducted in this study to explore the effects of different treatments on soil nutrients, enzyme activities and maize yield. Four treatments, including no mulching (NM), straw mulching (SM), plastic film mulching (PM), and straw mulching combined with plastic film mulching (SP), were set up during 2019-2020. In the 0-20 cm soil layer, compared with NM, the soil organic carbon (SOC) and soil catalase activity (SCA) of SM significantly increased by 23.4% and 46.2%, respectively (P < 0.05). The soil total nitrogen (STN), soil available phosphorus (SAP), available potassium (SAK), sucrase activity, urease activity, alkaline phosphatase activity, and maize yield (MY) of SP significantly increased by 40.7, 26.8, 13.9, 34.6, 73.8, 36.2 and 19.0%, respectively (P < 0.05). SOC, STN, SAP, SAK and SCA were significantly correlated with MY. Therefore, straw mulching combined with plastic film mulching has the best effect on increasing soil nutrients, soil enzyme activity, and maize yield and is suitable for promotion and application in coastal alkaline salines.

One of the main requirements for small-scale cultivators is that they can be used in small plots of land and have simple design and technology. However, many planting tools on the market today are not suitable for narrow land conditions. Therefore, this study aims to design and develop a corn seed planter that can be operated in narrow areas and can improve seed planting efficiency and accurate seed placement. The research parameters observed were the distance between plants, the depth of the planting holes, the number of seeds per planting hole, and the efficiency of using the tool. The results of the research show that the planting tools that have been designed and developed are very easy and practical to operate by farmers on narrow land. The distance between plants varies between 21.3 – 24.2 cm. The depth of the planting hole ranges from 5.4 – 7.1 cm. The distribution of the number of holes filled with 0 seeds was 3.00%, filled with 1 seed was 90.38%, and filled with 2 seeds was 6.62%. Planter efficiency data is 85.61%. This data shows that this cultivator meets the minimum standards for the manually operated cultivator category.

Soil erosion is an important reason for land degradation. The black soil region of Northeast China is the main grain production base in China, however, the black soil productivity in this region is at risk and unsustainable now because there was few soil conservation measures in nearly 100 years of cultivation. To assess the impact of erosion on land productivity, both 210 sampling points for 137Cs measurement and 112 sampling points for soil profile features were laid out on cultivated land of Songnen typical black soil region in combination with the 2010 China land use map. The current soil erosion/deposition rate and land productivity index PI were calculated over the study area, and then the PI values were predicted erosion by 20, 50, 100, and 200 years without soil and water conservation measures based on the current erosion rate and soil profile characteristics. The results showed that the average soil erosion rate of cultivated land in the study area was 705.8 t/(km2⋅a), and 77.0% of the cultivated land had soil erosion rate larger than the soil loss tolerance of 200 t/(km2⋅a). Spatially, the soil erosion rate in the northern region was greater than that in the southern region significantly, which was mainly affected by slope steepness. The relationship between soil erosion rate (SL) and slope steepness (θ) in degree was established according to the results of 137Cs measured at 210 sample points: SL = 556.4∗θ or SL = 0.464∗θ in mm/a (given soil bulk density is 1200 kg/m3). The current mean value of PI for cultivated land was 0.59, decreasing significantly from north to south, which was mainly influenced by organic matter content. The predicted PI values decreased significantly with the increase of erosion years in the northern area. This is related to the topography of rolling and hills in the northern area with a greater soil loss rate, leading to a rapid decrease of organic matter content and the increase of sand content in the topsoil in the future. The spatial distributions of the current soil erosion rates and predicted PI values after years of erosion for cultivated land would be helpful for soil conservation policy-making.

Enhancing land productivity is a crucial strategy for addressing key sustainable development issues, such as poverty reduction and ensuring food security. Farmers' Internet use behavior offers the potential to improve land productivity. However, relatively little is known about the association between Internet use and land productivity. To fill this void, this study examines the impact of Internet use on land productivity and its mechanisms. The results indicate that farmers' use of the Internet has a positive impact on improving agricultural land productivity. Internet use increases land productivity by 12.3%, and the conclusion still holds after a series of robustness tests and endogeneity tests. Heterogeneity analysis indicates that Internet use significantly enhances land productivity in the central and northern parts of Jiangsu Province, while it does not have the same effect in the province's southern regions. Without the addition of county fixed effects, the central sample regression results show that the coefficient for Internet use is 0.165 and significant at the 10% confidence level. When county fixed effects are added, the coefficient decreases to 0.117 and is not significant. The coefficient on Internet use for the northern sample is 0.128 and is significant at the 5% confidence level. Mechanistic analyses demonstrate that Internet use also enhances land productivity primarily by expanding the cultivated land area, facilitating mechanized production, and strengthening farmers' social networks. The results of the study indicate that the positive effects of Internet use in improving land productivity should be fully released by strengthening the communication infrastructure, further enhancing farmers' Internet use capacity, improving the land transfer system, upgrading the socialized service level of agricultural machinery, and strengthening agricultural financial support. [ABSTRACT FROM AUTHOR]

Copyright of World Water Policy is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The article aims to explore the spatiotemporal evolution characteristics and influencing factors of regional disparities in feed grain supply in China. Monthly panel data from 31 provinces in China from 2005 to 2021 were selected, and spatial autocorrelation and hot-cold spot analysis were employed to investigate the spatiotemporal evolution characteristics of regional disparities in feed grain supply. Furthermore, the Theil index and spatial Durbin model were utilized to analyze the driving factors in depth. The results show that both cold spots and hot spots in the feed grain supply exhibit a concentrated trend, and their local spatial correlations were significant. The spatial distribution pattern of feed grain supply reveals that the northern coastal areas were mostly 'low-low' aggregation zones, while the northeast, southeast coastal, and southwest regions were mostly 'high-high' aggregation zones. The Theil index and structural reasons analysis indicated a clear positive spatial spillover effect in feed grain supply, with intra-group differences being a key factor in regional disparities. The spatial Durbin model results demonstrate that the land productivity, transportation level, grain production machinery input, and feed grain processing level are crucial influencing factors for the feed grain supply. [ABSTRACT FROM AUTHOR]

Adoption of improved agricultural technologies is crucial to improve land productivity, food security and economic development in low-income countries. In this paper, we examined the determinants of improved maize variety (IMV) adoption and the impact of adoption on land productivity of resource-constrained smallholder maize farmers in a semi-arid region of Ghana. Primary data on 340 respondents were gathered and modelled using an endogenous switching regression econometric model to evaluate the impact and determinants of maize technology adoption among the sampled farmers. From the results, adoption of IMV significantly improved land productivity by 10.7 – 14.1 percent. Furthermore, quantity of labour deployed by the household was found to be a key determinant of both adoption and land productivity, while factors which enhance soil fertility status positively influenced improved variety adoption. The authors make practical policy recommendations to enhance adoption and land productivity to improve food security and income of smallholder farm households.

A shifting phenology in deciduous broadleaf forests (DBFs) can indicate forest health, resilience, and changes in the face of a rapidly changing climate. The availability of satellite-based solar-induced fluorescence (SIF) from the Orbiting Carbon Observatory-2 (OCO-2) promises to add to the understanding of the regional-level DBF phenology that has been developed, for instance, using proxies of gross primary productivity (GPP) from the Moderate Imaging Spectroradiometer (MODIS). It is unclear how OCO-2 and MODIS metrics compare in terms of capturing intra-annual variations and benchmarking DBF seasonality, thus necessitating a comparison. In this study, spatiotemporally matched OCO-2 SIF metrics (at footprint level) and corresponding MODIS GPP, normalized difference vegetation index (NDVI), and enhanced vegetation index (EVI) products within a temperate DBF were used to compare the phenology captured by the productivity metrics. Additionally, an estimate of the SIF yield (SIFy), derived from OCO-2 SIF measurements, and a MODIS fraction of photosynthetically active radiation (fPAR) were tested. An examination of the trends and correlations showed relatively few qualitative differences among productivity metrics and environmental variables, but it highlighted a lack of seasonal signal in the calculation of SIFy. However, a seasonality analysis quantitatively showed similar seasonal timings and levels of seasonal production in and out of the growing season between SIF and GPP. In contrast, NDVI seasonality was least comparable to that of SIF and GPP, with senescence occurring approximately one month apart. Taken together, we conclude that satellite-based SIF and GPP (and EVI to a smaller degree) provide the most similar measurements of forest function, while NDVI is not sensitive to the same changes. In this regard, phenological metrics calculated with satellite-based SIF, along with those calculated with GPP and EVI from MODIS, can enhance our current understanding of deciduous forest structures and functions and provide additional information over NDVI. We recommend that future studies consider metrics other than NDVI for phenology analyses. [ABSTRACT FROM AUTHOR]

Developing agroforestry systems in private forests is expected to increase productivity. This study aims to determine the appropriate agroforestry design for Falcataria moluccana-based private forests in Central Lombok Regency. Three intercrop species were tested: small taro ( Colocasia esculenta), ginger ( Zingiber officinale), and vanilla ( Vanilla planifolia Andrews). This study was established using a completely randomized design. The three planting combinations were examined in three replications for a total of nine test plots: F. moluccana+vanilla+small taro (FmVT), F. moluccana+vanilla+ginger (FmVG), and F. moluccana+vanilla+ginger+small taro (FmVGT). Each test plot was 10 x 10 m and was located at 3 x 3 m spacing under a 3-year-old F. moluccana stand. The measured variables were crop survival rates, plant yields, and microclimatic data. The correlation between the variables was examined using the Pearson Product Moment, Duncan's advanced multiple range test (DMRT), and analysis of variance (ANOVA). The market price was used to determine the crop's economic value. The best agroforestry design was based on the economic value of crop production and the land equivalent ratio. The results indicated that the combination of F. moluccana, vanilla, ginger, and small taro, which generated an additional income of IDR 11,851,250 ha-1 a year, should be widely promoted and adopted. [ABSTRACT FROM AUTHOR]

While the role of agricultural productivity in alleviating poverty and enhancing household well-being is widely acknowledged, the micro-level evidence on the relationship between smallholder productivity and rural household welfare remains scarce in sub-Saharan Africa. Utilising three-wave comprehensive panel data from rural Ethiopia, this paper offers valuable insights into the effect of maize productivity on rural household welfare. We use both fixed-effects and correlated random-effects IV estimators to account for unobserved heterogeneity and endogeneity. Our findings reveal that increased maize productivity leads to higher household income, enhanced maize consumption, and greater asset ownership, ultimately reducing rural poverty. Notably, the welfare gains from maize productivity vary among farm households, with the most substantial effects observed among advantaged households, particularly those headed by male farmers and those with a more favourable economic standing in terms of poverty status. These results not only hold promise for poverty reduction through intensified agricultural practices in rural Ethiopia but also emphasise the necessity for targeted interventions to ensure equitable distribution of welfare benefits. [ABSTRACT FROM AUTHOR]

One of the core challenges to achieve land degradation neutrality (LDN) is to spatially identify, and strategically prioritise, the areas to implement actions to avoid, reduce and reverse land degradation. To achieve this, a tool for a participatory and data‐driven assessment considering both the biophysical and socio‐economic dimensions of land degradation across scales was developed for Ecuador. In this paper, we present the methodology and results obtained, including the spatially explicit interactive tool developed to integrate indicators that support the scaling‐up of sustainable land management (SLM). The process involved specialists from various national and international institutions, as well as decision makers from the public sector and other relevant stakeholders. Cloud computing allowed the integration of five main sources of data: (1) the results of a participatory land degradation assessment based on an expert knowledge questionnaire following the land degradation assessment in drylands (LADA) and world overview of conservation approaches and technologies (WOCAT) methodology; (2) the Hand‐in‐Hand Initiative Ecuador typology maps based on poverty and estimated agricultural potential and efficiency scores from household surveys; (3) National datasets on land cover and land use, soil properties, and hydro climatic indicators; (4) global satellite‐derived LDN indicators, such as land productivity dynamics; and (5) documented SLM practices from WOCAT Global SLM Database. The tool is based on a Google Earth Engine application and allows decision makers to easily compare results and obtain statistics at different spatial scales and landscapes, including land use systems delimited by experts. It also includes a multi‐criteria module to identify areas with specific characteristics to prioritise different types of interventions to achieve the Country's LDN targets. Convergence of local and global evidence allowed the identification of hotspots of degradation as well as areas of false positives/negatives—if only global or remote sensing indicators were considered. The participatory process contributed to strengthening multi‐sector cooperation mechanisms and to guaranteeing ownership of the tool and the results. The system will support Ecuador's efforts to monitor and report progress towards LDN to the United Nations Convention to Combat Desertification. The system's code is shared as a repository at Earth Engine and can be adapted to and used by other countries and regions. [ABSTRACT FROM AUTHOR]

Assessment of land-degradation neutrality (LDN) is used to characterize the achievement of UN Sustainable Development Goal 15 (SDG), Target 15.3, "to combat desertification, restore degraded lands and soils" by individual countries and regions. This article presents a calculation of land-degradation neutrality for agricultural territories of Samara oblast using global indicators, such as land-productivity dynamics, land-cover dynamics, and dynamics of soil organic carbon, and regional indicators, such as yield, erosion, and content of mobile forms of potassium and phosphorus in the soil. The Trends.Earth tool, which is the QuantumGIS extension, was used to calculate the first two global indicators. Evaluation of the other indicators was carried out using file materials and data from the agrochemical service agency. According to the results, land-degradation neutrality was not achieved in the agricultural territories of the Samara oblast. The indicator of SDG 15.3.1, that is, the proportion of land that is degraded over total land area, is 78.61% with the LDN index of 57.22%. The leading process in land degradation is soil water erosion, which leads to a decrease in the levels of indicators, such as land productivity and humus content. [ABSTRACT FROM AUTHOR]

One of the indicators of land productivity assessment is soil fertility. The causes of infertile soil have been widely reported. This study aimed to evaluate soil fertility using the Soil Fertility Capability Classification (SFCC) approach and to determine the relationship between soil morphological and physiochemical properties and soil fertility. The research was conducted in North Galela Sub-district, North Halmahera Regency. The research framework began with the interpretation of thematic maps, surveys, field observations, and the making of soil fertility evaluation maps. Soil sampling was carried out based on the stratified random sampling method and supported by laboratory measurements according to USDA international standards. The research result showed that the research area had 14 soil fertility statuses. The fertility classes having the most significant limiting factor were loamy texture (Ø15% rock outcrop, moderate salinity (0.2-0,4 mS cm-1), Na saturation >15%, and a rather steep slope (14%) with Lithic Eutrudepts type. Both of these classes have a top layer texture, and the bottom layer contains clay

The Ethiopian government has exerted efforts to rehabilitate degraded agricultural lands using a range of sustainable land management (SLM) initiatives to enhance agricultural productivity. One of the key components was improved structural soil and water conservation (SWC) technologies. This study examines the effects of continuous SLM practices on agricultural land productivity, with particular emphasis on SWC technology adoption in Central Ethiopia. The analysis was based on the data collected from 525 sample household surveys in two districts, namely Kewet and Sebeta-hawas. A propensity score matching (PSM) model was used to investigate the effects on treated and non-treated plots. The study findings revealed a substantial and positive effect on treated agricultural plots compared to non-treated ones in the Kewet district. At the same time, the difference was found positive but not significant in the Sebeta-hawas counterpart. The insignificant impacts are justified because SWC efforts focused on constructing structures rather than tailoring them with soil-replenishment and productivity enhancement functions. The important conclusion is that continuous SWC adoption efforts positively impact agricultural productivity; however, its effect is more noticeable when SWC structures are integrated with productivity enhancement functions and applied in low moisture areas. Thus, policymakers and project planners should consider the role of integrating physical SWC structures with soil replenishment and agronomic activities.

In Poland, there is a significant diversification of efficiency in agriculture between voivodeships. Therefore, we expect efficiency convergence in line with the modernization process of agriculture in regions. The work aims to identify the scale and direction of changes in the efficiency of land and labor in farms in Poland in terms of voivodeships and to determine whether there is a convergence of the efficiency. Statistical data from Statistics Poland and data from the FADN on the results of farms for the years 2010-2020 were used in the analysis. In the period covered by the analysis, the average area of farms increased by 18% – to 11.6 ha, and the level of employment decreased by as much as 31% to 9.5 AWU/100 ha. On FADN farms, the area increased by 15% – to 40.4 ha, and the level of employment decreased by 10% – to 4.9 AWU/100 ha. Land efficiency did not change significantly in real terms, and labor efficiency increased by 15-18% in real terms, depending on the region. It was found that the convergence between voivodeships occurred only concerning labor productivity in agriculture (in value of GVA/AWU). Convergence was not confirmed for labor productivity (in value of production/AWU), and divergence was observed both for land efficiency and productivity. This means that differences in the effectiveness of Polish agriculture between regions are permanent, and progress in agriculture by regions is at a similar pace. In the future, the main constraint on agriculture development in some regions will be the strong fragmentation of agriculture.

Climate change poses significant challenges to agriculture and land productivity particularly in regions heavily dependent on rain-fed agriculture like Ebonyi State, Nigeria. This study analyzed the effects of climate change on sweet potato production in Nigeria. Multi-stage sampling procedure was used to select 301 respondents. The drafted questionnaire was used for data collection following the specific objectives of study. Descriptive statistics, land productivity model, and multiple regression model were used for the data analysis. Results revealed that the majority of respondents (64.1%) were males, married (73.1%), young (42.2%), experienced (55.5%) and relatively educated (49.8%) with household and farm sizes of 7 and 1.8 hectares. The majority of the farmers (41.5%) were aware of changes in climate. Farm sizes of 1.1-2.0 hectares produced the highest land productivity (1769.831 hectares) in the state from about 51.5% of the farmers. Rising temperature, rainfall, and number of rainy days, influenced sweet potato production negatively; while sunshine hours and relative humidity had significant positive influences. Poor access to extension and services, land fragmentation, capital, inadequate information concerning climate change, and high cost of input resources constrained potato cultivation. The study recommends farmers to practice climate smart agricultural techniques and to seek early climate change information to mitigate negative effects of changing climate on sweet potato production.

Climate change poses significant challenges to agriculture and land productivity particularly in regions heavily dependent on rain-fed agriculture like Ebonyi State, Nigeria. This study analyzed the effects of climate change on sweet potato production in Nigeria. Multi-stage sampling procedure was used to select 301 respondents. The drafted questionnaire was used for data collection following the specific objectives of study. Descriptive statistics, land productivity model, and multiple regression model were used for the data analysis. Results revealed that the majority of respondents (64.1%) were males, married (73.1%), young (42.2%), experienced (55.5%) and relatively educated (49.8%) with household and farm sizes of 7 and 1.8 hectares. The majority of the farmers (41.5%) were aware of changes in climate. Farm sizes of 1.1-2.0 hectares produced the highest land productivity (1769.831 hectares) in the state from about 51.5% of the farmers. Rising temperature, rainfall, and number of rainy days, influenced sweet potato production negatively; while sunshine hours and relative humidity had significant positive influences. Poor access to extension and services, land fragmentation, capital, inadequate information concerning climate change, and high cost of input resources constrained potato cultivation. The study recommends farmers to practice climate smart agricultural techniques and to seek early climate change information to mitigate negative effects of changing climate on sweet potato production. [ABSTRACT FROM AUTHOR]

Adoption of improved agricultural technologies is crucial to improve land productivity, food security and economic development in low-income countries. In this paper, we examined the determinants of improved maize variety (IMV) adoption and the impact of adoption on land productivity of resource-constrained smallholder maize farmers in a semi-arid region of Ghana. Primary data on 340 respondents were gathered and modelled using an endogenous switching regression econometric model to evaluate the impact and determinants of maize technology adoption among the sampled farmers. From the results, adoption of IMV significantly improved land productivity by 10.7 – 14.1 percent. Furthermore, quantity of labour deployed by the household was found to be a key determinant of both adoption and land productivity, while factors which enhance soil fertility status positively influenced improved variety adoption. The authors make practical policy recommendations to enhance adoption and land productivity to improve food security and income of smallholder farm households. [ABSTRACT FROM AUTHOR]

The Sustainable Development Goals (SDGs) include food security as one of the 17 indicators of success. However, the increasing number of hungry people in the world requires an increase in food crop production, particularly in tropical regions such as Indonesia. One of the main causes of the decline in productivity of food crops is the drastic decrease in soil fertility, which is further compounded by a lack of understanding among farmers. This leads to confusion among farmers regarding the appropriate doses of organic and inorganic fertilizers to use to improve soil fertility. Ciburuy village, located in Padalarang district, West Java, is one of the villages in West Bandung Regency whose economy depends heavily on agricultural commodity production. However, there has been a decline in rice productivity due to imbalanced fertilization, which may be caused by nutrient deficiencies required for optimal plant growth. To address this problem, a seminar and training program was conducted to enhance farmers' capacity in understanding nutrient deficiencies and train them to calculate the appropriate balanced fertilizer doses for optimal agronomic and economic efficiency. This program targeted members of the farmer group who cultivate food crops, particularly rice, in Ciburuy village with the aim of improving the quality and quantity of rice production. Soil tests conducted in the laboratory showed that the soil in Ciburuy village is Inceptisols with low organic carbon content (<2%), low total nitrogen (<0.2%), and low available potassium (<20 mg/100g). This program is expected to generate increased awareness among farmers regarding soil fertility and the use of balanced fertilizers. This training program is an important step in achieving food security goals in Indonesia and ensuring sustainable agriculture in the future. [ABSTRACT FROM AUTHOR]

Soil quality (SQ) is critical to sustainable agricultural development. It is sensitive to the crop yield, especially in thin-layer black-soil regions, which have experienced severe degradation in recent years. However, how to evaluate the SQ and its influence on land productivity is not clear in regions with thin black-soil coverage. Therefore, an integrated soil quality index (SQI) was constructed using diverse datasets along a 30 km transect in a typical thin-layer black-soil region of China. The results showed that obvious soil degradation was observed in this area. Black-soil thickness (BST), soil organic matter (SOM), and the total nitrogen (TN) content were the most strongly correlated with corn yield among the 13 investigated indexes, with Pearson coefficients of 0.65, 0.39 and 0.34, respectively. The minimum-dataset-based SQI using six soil properties within 0–30 cm was the optimal solution for SQ evaluation in the study area. The good performance of the established SQI using the optimal method was supported by its strong correlation with the corn yield, with a Pearson coefficient and linear R2 of 0.75 and 0.56, respectively. The BST identified by differences in colour across the soil profile provided powerful information for the SQI, the value of which would be underestimated by 8% if this index were ignored. The linear R2 between the SQI and corn yield decreased from 0.56 to 0.49 when the BST index was removed. This study showed the significance of improving the SQ in thin-layer black-soil regions. The core of soil management is to prevent the losses of surface black soil and improve the SOM content in this region. These findings can help farmers and decision makers adopt proper measures to improve SQ and thereby crop yield. [ABSTRACT FROM AUTHOR]

One of the problems faced by farmers in Indonesia is capital. Based on Indonesian Central Statistics Agency survey results, the number of farmers who borrow capital from formal institutions such as banks is still small. This is because the process of applying for loans at banks is lengthy, farmers are considered high-risk and unbankable, and the rating of the agricultural sector is unattractive to banks. This study aims to determine the attributes and design a model of agricultural credit assessment. This study uses secondary data related to bank credit ratings and land productivity from banks in the Telagasari sub-district in 2018–2020 and Cipayung sub-district in 2020. Data were analyzed using random forests. The research process includes four stages: data collection, data pre-processing, model building, and model analysis and evaluation. This study produced five important variables that are relevant to farmers: planting costs, sales, land productivity, total production, and land area. The model built produces the most optimal accuracy of 83% with an AUC score of 81%. Based on the AUC performance classification, it can be concluded that the model that has been made is good at predicting the credit status of farmers because the AUC value is included in the good classification predicate.

The marketization of agricultural land affects the average land productivity not only through improving land allocation efficiency but also through reducing land price under the perfect market. The effect of the improvement of land allocation efficiency on the average land productivity is positive. However, when the agricultural land market is imperfect, the effect of the decrease in land price under the perfect market on the average land productivity is negative. By using the China Health and Nutrition Survey (CHNS) database and the empirical framework for the inverse relationship between farm size and land productivity, this paper empirically finds that these two channels improve and reduce average land productivity by 34.4% and 1.4%, respectively, implying that agricultural land marketization in China improves the average land productivity by 32.9%.

Declining land productivity is a major problem constraining banana (Musa spp.) production in Tanzania. Banana fruit yield consequently reaches only 15% of the potential, primarily due to inadequate soil nutrient replenishment. Improving farmers' soil nutrient replenishment strategy in banana home gardens, which relies on applications of cattle manure only, by mixing with inorganic fertilizer resources can increase land productivity and can improve the overall profitability of banana production in the country. Experiments were conducted at Tarakea, Lyamungo, and Tengeru to determine the effects of organic fertilizer resources (animal manure and crop residue) and their combination with inorganic fertilizer resources on the productivity and profitability of Mchare banana production. Banana fruit yield differed significantly among the experimental sites, with drier areas of Tengeru recording, on average, 19.6 t ha−1 year−1, while the more humid areas of Lyamungo recorded, on average, 39.3 ha−1 year−1. Mchare banana plants grown under sole inorganic fertilizer produced significantly low yields (33.0 t ha−1 year−1) compared with those fertilized with cattle manure only, which lifted the yields to 38.8 t ha−1 year−1, but the latter required more labor input. Soil nitrogen (N) fertilization via cattle manure + mineral fertilizer gave the highest average banana fruit yield (43.0 t ha−1 year−1) across the sites, and reduced fertilization costs by 32%. Subsequently, this integrated fertilization technique generated the highest average net benefits in all sites and both cropping cycles. Thus, the findings of this study form a basis to improve land productivity and profitability in banana-based home gardens in the study area by directing more labor input to good soil N management. [ABSTRACT FROM AUTHOR]

Land degradation (LD) processes are widespread in drylands worldwide and are accelerated by climate change. As a result, food security and livelihoods are at risk. Thus, there is a need to monitor LD trends, especially in agricultural areas. Mediterranean countries, including Tunisia and Greece, are concerned due to the presence of drivers and pressures causing land degradation. Through the Trends.Earth plugin, the SDG 15.3.1 indicator can be implemented to map LD status. In this study, we mapped LD in Greece and Tunisia for the recommended baseline period of 2001–2015 and the selected reporting period of 2016–2020. The land productivity was assessed within Trends.Earth using the MODIS MOD13Q1 product, while the default datasets were used for the other sub-indicators. The main findings are: (i) the percentage of degraded land decreased from the baseline to the reporting period from 4.83% to 2.62% of total area in Greece and 9.97% to 6.26% in Tunisia—degradation rates that differ from those reported to the UNCCD (United Nations Convention to Combat Desertification) by the respective national authorities; (ii) the dominant land condition in Greece was improved, while in Tunisia, it was stable; (iii) land productivity presented a similar trend through the SDG 15.3.1 indicator over both countries, including the net land productivity dynamics over croplands; (iv) based on analysis using plant functional types performed with MODIS MCD12Q1, the highest portion of degraded land in Greece was located in grasslands and in Tunisia in cereal croplands (after desert areas); and (v) with a focus on LD over cereal croplands, the portion of degraded areas appeared to decrease in both Greece and Tunisia. The percentage was higher in Tunisia, representing 16.52% of the total degraded land during the reporting period compared to 10.83% in Greece. All the above stress the need to foster the adoption of sustainable land management practices, especially in Tunisia, and speed up the implementation of measures to achieve LD neutrality. [ABSTRACT FROM AUTHOR]

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One of the indicators of land productivity assessment is soil fertility. The causes of infertile soil have been widely reported. This study aimed to evaluate soil fertility using the Soil Fertility Capability Classification (SFCC) approach and to determine the relationship between soil morphological and physiochemical properties and soil fertility. The research was conducted in North Galela Sub-district, North Halmahera Regency. The research framework began with the interpretation of thematic maps, surveys, field observations, and the making of soil fertility evaluation maps. Soil sampling was carried out based on the stratified random sampling method and supported by laboratory measurements according to USDA international standards. The research result showed that the research area had 14 soil fertility statuses. The fertility classes having the most significant limiting factor were loamy texture (Ø<0.002 mm), rock surface, gravel subsoil, moderate salinity (0.2-0.4 mS cm-1), low exchangeable K (<20 cmol(+) kg-1), and sloping slope (8%) with Lithic Haprendolls type and loamy texture (Ø<0.002 mm), subsoil >15% rock outcrop, moderate salinity (0.2-0,4 mS cm-1), Na saturation >15%, and a rather steep slope (14%) with Lithic Eutrudepts type. Both of these classes have a top layer texture, and the bottom layer contains clay <35%, with limiting factors of hard layer inhibiting root to a depth of 50 cm, extremely low nutrient reserve, low electrical conductivity (EC) and high Na. The limiting factors found in North Galela Sub-district were hard rootrestricting layer, exchangeable K, electrical conductivity, Na saturation, slope, and gravel. [ABSTRACT FROM AUTHOR]

The Ethiopian government has exerted efforts to rehabilitate degraded agricultural lands using a range of sustainable land management (SLM) initiatives to enhance agricultural productivity. One of the key components was improved structural soil and water conservation (SWC) technologies. This study examines the effects of continuous SLM practices on agricultural land productivity, with particular emphasis on SWC technology adoption in Central Ethiopia. The analysis was based on the data collected from 525 sample household surveys in two districts, namely Kewet and Sebeta-hawas. A propensity score matching (PSM) model was used to investigate the effects on treated and non-treated plots. The study findings revealed a substantial and positive effect on treated agricultural plots compared to non-treated ones in the Kewet district. At the same time, the difference was found positive but not significant in the Sebeta-hawas counterpart. The insignificant impacts are justified because SWC efforts focused on constructing structures rather than tailoring them with soilreplenishment and productivity enhancement functions. The important conclusion is that continuous SWC adoption efforts positively impact agricultural productivity; however, its effect is more noticeable when SWC structures are integrated with productivity enhancement functions and applied in low moisture areas. Thus, policymakers and project planners should consider the role of integrating physical SWC structures with soil replenishment and agronomic activities. [ABSTRACT FROM AUTHOR]

The global literature widely uses Revealed Comparative Advantage (RCA), Lafay Index (LFI), Export Diversification (EDI), Hirschman (HI), and Major Export Category (MEC) to analyze international trade flows, though agricultural trade, specifically agri-food commodities consisting of food and feed commodities, is neglected in empirical works. Furthermore, the determinants of Revealed Comparative Advantages and the Lafay Index have received little attention, with little focus on the relationships between food insecurity as measured by the Household Food Insecurity Access Scale (HFIAS) and the aforementioned factors, including the RCA and LFI indices as explanatory variables with other macroeconomic variables. The purpose of this study was to ascertain the competitiveness of Namibia's agri-food products, the factors that influence it, and their implication for food security. This study attempts to answer which factors affect agri-food comparative advantage, which agri-food commodities have a comparative advantage and disadvantage, and what the implications are to food security. The study employed regression analysis, the Household Food Insecurity Access Scale, and various indices. Revealed Comparative Advantage and Lafay Index indicated a mixed result during the study period. Export Diversification and Hirschman indices indicated a less concentrated trade structure throughout the study period. The results of the market structure of the international agri-food market estimated by the Major Export Category revealed that Namibia was unduly dependent on agri-food commodities incorporated in this study. The regression result showed a significant negative influence of labor and land productivity on the aggregated RCA and LFI for agri-food commodities. Land productivity and GDP per capita impact the degree of food insecurity in Namibia. The study concludes that Namibia was not dependent on international trade of agri-food commodities and had little bearing on food security. These analyses enlighten policymakers about the competitiveness of the agri-food business and its implications for food security through evidence-based policy development. [ABSTRACT FROM AUTHOR]

The adverse effect of soil erosion is a major problem in Ethiopia, and soil and water conservation efforts must do to reduce the impact. Use of biological measures (grasses) combined with soil bund have numerous impact for reducing soil nutrient loss and increase soil moisture conservation, secure animal fodder for farm owners in low grass potential areas, enhance productivity of land and green biomass, but its adoption has been limited in the study area. This study explored the effect of grasses combined with soil bund on the experiment want to see the effect of stabilizer grasses on soil bund have seven treatments with randomized complete block design. Moisture content and bulk density data were collected and analyzed, taken undisturbed soil sample by gravimetric method, survival rate available plant per total planted times 100, tiller total number, plant height via meter and biomass using hanging balance data's were collected. The data analysis was done using R-Software and for mean separation, LSD at 5% significance level was used for moisture, bulk density, survival rate, biological parameters. Grass have positive impact on moisture content and bulk density to increase ease of use of water for grass and to stabilize the bund results in 2020 was 22.2%, 17.56%, and 12.3% of difference vetiver, Sudan grass, elephant and panicum in 2021 13% (1.36) in Sudan grass with comparison of the control treatment (1.57), respectively. Sudan grass and panicum have (100%) and (80%) performance on survival rate to rehabilitate and support the bund and protect direct runoff. Panicum has scored 77.2 average tillers in 0.15 m2 area on number of tiller that can affect biomass and direct runoff. Sudan grass 98.7 cm, elephant 85.4 cm and panicum 81 cm was resulted in 2021 and in 2020 Sudan grass 136.4 cm, elephant 91 cm and panicum 78.3 cm record on plant height. The green biomass that have great contribution for forage and other multipurpose use was Sudan grass, elephant and panicum yielded 20.8 t/ha in 2020 12.7 t/ha and 10.6 t/ha in 2022 respectively. Overall, in the experiment Sudan grass, Panicum Coloratum and Elephant grass have better adaptability and survival, increase farm land productivity contributing additional grass proceeds and have multipurpose use of fodder production.

Developing agroforestry systems in private forests is expected to increase productivity. This study aims to determine the appropriate agroforestry design for Falcataria moluccana-based private forests in Central Lombok Regency. Three intercrop species were tested: small taro (Colocasia esculenta), ginger (Zingiber officinale), and vanilla (Vanilla planifolia Andrews). This study was established using a completely randomized design. The three planting combinations were examined in three replications for a total of nine test plots: F. moluccana+vanilla+small taro (FmVT), F. moluccana+vanilla+ginger (FmVG), and F. moluccana+vanilla+ginger+small taro (FmVGT). Each test plot was 10 x 10 m and was located at 3 x 3 m spacing under a 3-year-old F. moluccana stand. The measured variables were crop survival rates, plant yields, and microclimatic data. The correlation between the variables was examined using the Pearson Product Moment, Duncan's advanced multiple range test (DMRT), and analysis of variance (ANOVA). The market price was used to determine the crop's economic value. The best agroforestry design was based on the economic value of crop production and the land equivalent ratio. The results indicated that the combination of F. moluccana, vanilla, ginger, and small taro, which generated an additional income of IDR 11,851,250 ha-1 a year, should be widely promoted and adopted.

Enhancing land productivity is a crucial strategy for addressing key sustainable development issues, such as poverty reduction and ensuring food security. Farmers’ Internet use behavior offers the potential to improve land productivity. However, relatively little is known about the association between Internet use and land productivity. To fill this void, this study examines the impact of Internet use on land productivity and its mechanisms. The results indicate that farmers’ use of the Internet has a positive impact on improving agricultural land productivity. Internet use increases land productivity by 12.3%, and the conclusion still holds after a series of robustness tests and endogeneity tests. Heterogeneity analysis indicates that Internet use significantly enhances land productivity in the central and northern parts of Jiangsu Province, while it does not have the same effect in the province’s southern regions. Without the addition of county fixed effects, the central sample regression results show that the coefficient for Internet use is 0.165 and significant at the 10% confidence level. When county fixed effects are added, the coefficient decreases to 0.117 and is not significant. The coefficient on Internet use for the northern sample is 0.128 and is significant at the 5% confidence level. Mechanistic analyses demonstrate that Internet use also enhances land productivity primarily by expanding the cultivated land area, facilitating mechanized production, and strengthening farmers’ social networks. The results of the study indicate that the positive effects of Internet use in improving land productivity should be fully released by strengthening the communication infrastructure, further enhancing farmers’ Internet use capacity, improving the land transfer system, upgrading the socialized service level of agricultural machinery, and strengthening agricultural financial support.

Monitoring changes in Annual Net Primary Productivity (ANPP) is required for reporting on UN Sustainable Development Goal (SDG) Indicator 15.3.1: the proportion of land that is degraded over the total land area. Calibrating time-series observations of ANPP to derive Water Use Efficiency (WUE; a measure of ANPP per unit of evapotranspiration) can minimize the influence of climate factors on ANPP observations and highlight the influence of non-climatic drivers of degradation such as land use changes. Comparing the ANPP and WUE time series may be useful for identifying the primary drivers of land degradation, which could be used to support the Land Degradation Neutrality objectives of the UN Convention to Combat Desertification (UNCCD). This paper presents an algorithm for the Google Earth Engine (freely and openly available upon request – http://doi.org/10.5281/zenodo.4429773) to calculate and compare ANPP and WUE time series for Santa Cruz, Bolivia, which has recently experienced an intensification in its land use. This code builds on the Good Practice Guidance document (version 1) for monitoring SDG Indicator 15.3.1. We use the MODIS 16-day average, 250 m resolution to demonstrate that the Enhanced Vegetation Index (EVI) responds faster to changes in water availability than the Normalized Difference Vegetation Index (NDVI). We also consider the relationships between ANPP and WUE. Significant and concordant trends may highlight good agricultural practices or increased resilience in ecosystem structure and productivity when they are positive or reducing resilience and functional integrity if negative. The sign and significance of the correlation between ANPP and WUE may also diverge over time. With further analysis, it may be possible to interpret this relationship in terms of the drivers of change in plant productivity and ecosystem resilience.