Tree Planting Research Articles

Environmental Degradation: Causes, Effects and Solutions

Environmental degradation is a pressing global issue with far-reaching consequences for ecosystems, human health, and sustainable development. This comprehensive article explores the various causes of environmental degradation, ranging from poverty and urbanization to industrialization, deforestation, pollution, natural disasters, population growth, climate change, unrestricted development, soil damage, energy use, unsustainable agriculture, and landfills. It examines the various effects of environmental degradation, including impacts on human health, biodiversity loss, global warming, ozone layer depletion, atmospheric changes, scarcity of natural resources, loss of the tourism industry, and economic recession. Moreover, the article suggests a wide array of solutions to address environmental degradation, encompassing tree plantation, regenerative farming, spiritual renewal, pollution control, reduced fuel consumption, waste management strategies, water conservation, sustainable initiatives, public awareness campaigns, social movements, government policies and international cooperation through UN initiatives.

Mechanical site preparation severity mediates one-year-survival response to summer drought in planted tree seedlings

Mechanical site preparation severity mediates one-year-survival response to summer drought in planted tree seedlings

Classification and Status by Geological Periods Relicts, Rare Species of Zakatala and Belokan Districts

The article provides data on period III relicts and rare tree and shrub species common in the forest ecosystems of the Zakatala and Belokan districts of Azerbaijan, and their classification and status by geological periods is given. As a result of research and analysis, the species Taxus baccata L., Hedera pastuchovii Woronow ex Woronow and Smilax excelsa L. were included in the relicts of the Poltava flora. In the forest ecosystems of the study areas, 6 tree and shrub relict species belonging to 6 families and 6 genera of the subtropical evergreen Poltava flora (mesothermal relicts of the Arctic flora of the III period) were identified: Taxus baccata L., Platanus orientalis L., Punica granatum L., Hedera pastuchovii Woronow ex Woronow, Smilax excelsa L. and Diospyros lotus L. With the exception of Smilax excelsa L., other 5 species are listed in the Red Book of the Azerbaijan Republic. In the Zakatala and Belokan districts, relict tree and shrub plants belonging to 15 families, 23 genera and 30 species of Arctic and deciduous Turgai flora (mesothermal relicts of the Arctic flora of the III period) are widespread. Of these, 10 species (Pinus kochiana Klotzsch ex K. Koch = Pinus sylvestris var. hamata Steven, Fraxinus coriariifolia Scheele, Castanea sativa Mill., Quercus iberica Steven ex M. Bieb., Pterocarya pterocarpa (Michx.) Kunth ex Iljinsk., Juglans regia L., Acer pseudoplatanus L., Acer hyrcanum Fisch. ex C. A. Mey., Corylus colurna L., Vitis vinifera L., are considered rare plants of Azerbaijan. It was established that 38 rare tree and shrub species belonging to 35 there are 23 families.

CAN THE APPLICATION OF AGROFORESTRY AT MONOCULTURAL FOOD CROP AREAS SUPPORT MANUFACTURER CHEMICAL FERTILIZER REDUCTION PROGRAMS WITHOUT SACRIFICING FARMERS' INCOME?

In an agroforestry system, nutrients from the subsoil can be made available to food plants through the absorption process by trees with deep roots. However, shade from canopy tree plants can suppress photosynthesis and reduce food crop production and farmer income [INCM]. This antagonism needs to be evaluated when introducing agroforestry programs into monoculture food crop areas to reduce manufactured chemical fertilizers application. This research was carried out from June to August 2023 at Natar District, South Lampung Regency to determine the effect of tree strata (teak, acacia, and albizia), multi-proposed tree species or MPTS (Parkia speciosa, avocado, and jack fruit), shrubs (coffee and cacao), and ground cover (vegetables, peanut, and soybean) to [INCM]. Interviewing forty respondents who were still retaining one or more of these tree strata among food crops including upland rice, corn, and cassava. The OLS (ordinary least square) model was employed at 90% confidence level. To eliminate the model error, the variables ownership of productive assets (upland, cattle, sheep, and cock), fertilizer application (urea, ponska, KCl and liquid fertilizer), compost, and pesticide use were also incorporated in the model. The results suggest the significant effects: (1) that positive ones are acacia, teak, vegetables, peanuts, and, soybeans, respectively USD 86.4 (P=0.000); 88.3 (P=0.000); 109,5 (P=0.000); 114.6 (P =0.000); 145.1 (P=0.000); and (2) which negative were Albizia falcataria, Parkia speciosa, avocado, coffee, and cacao respectively of around USD 31,7 (P=0.002); 57.1 (P=0.000); 43.2 (P=0.003); 62,0 (P=0.000) and 96.37 (P=0.000).

Colletotrichum cliviicola as a new causal agent causing leaf spot disease on Tilia tomentosa moench (silver linden) in China

Tilia tomentosa Moench (silver linden) is a globally preferred option for landscaping and street tree planting. Its intentional introduction to China in recent years has led to widespread cultivation. In 2021, a leaf spot disease significantly impacted silver linden trees in a sentinel garden in China, with an average incidence and disease severity of 94.3% and 5.0, respectively, adversely affecting the trees' growth and development. In this investigation, potential fungal pathogens were isolated from the affected leaves, and Koch's postulate was subsequently employed to validate the pathogenicity of the fungal isolates (TM-1 and TM-2). The pathogen was unequivocally identified as Colletotrichum cliviicola through a combination of morphological observation and a multi-locus analysis (ITS, ACT, ApMat, CAL, CHS-1, GAPDH, and TUB2). This marks the first record of C. cliviicola affecting silver linden in China. The information provided a valuable foundation for the rapid detection and effective prevention and control of the diseases affecting linden trees.

Quantifying the impact of Great Green Wall and Corporate plantations on tree density and biomass in Sahelian Senegal

The Great Green Wall (GGW) is an international initiative to combat land degradation and restore native plant life in the Sahel, but due to a lack of monitoring tools, it remains unknown to be considered as success or failure. Here, we quantify the impact of GGW plantations and Corporate plantations (privately owned) in Sahelian Senegal based on remote sensing data and deep learning by mapping individual trees and their biomass across the Sahel region. Tree features (cover, density and above-ground biomass) have been computed in every hectare of 42 plantations (of both, corporate and GGW) and their surrounding non-planted areas, subsequently used for a comparative analysis of tree features. Results showed that gains in tree features varied substantially between plantations. At plot scale, among Corporate plantations, the average gain in tree density was 61.16±42.12 trees/ha while it was 5.7 ± 5.8 trees/ha for GGW plantations. In regards to tree cover, the average gain was 618.5 ± 588.5 m2/ha for Corporate plantations and 71.72±108.89 m2/ha for GGW plantations. For the above-ground biomass, the average gain was 3.36±3.29 tons/ha in the Corporate plantations and 0.46±0.67 tons/ha in the GGW plantations. The average gain in foliar biomass in the Corporate plantations was 0.15±0.13 tons/ha and in the GGW plantations, it was 0.02±0.03 tons/ha. The average gain in wood biomass was 3.21±3.12 tons/ha among the Corporate plantations and was 0.43±0.64 tons/ha among the GGW plantations. Notably, regarding the relative benefit in terms of ecosystem services per unit of density, each tree in GGW plantations contribute more to ecosystem services per unit of density compared to Corporate plantations. In GGW, each gained tree contributes 18 m2 of cover, 116.1 kg of above-ground biomass, 5.6 kg of foliar biomass, and 114.2 kg of woody biomass, while in corporate plantations, on the other hand, each gained tree adds 9 m2 of cover, 48.4 kg of above-ground biomass, 2.3 kg of foliar biomass, and 46.3 kg of woody biomass. These findings are opposed to conventional paradigms, suggesting that the Great Green Wall, while perhaps missing its tree density targets, has succeeded in its mission to produce ecosystem services per tree. This raises important questions about the redefinition of objectives in reforestation projects, focusing on quality rather than quantity, a perspective that could transform our understanding of the successes and failures of these essential ecological restoration initiatives. However, the assessment primarily relies on indicators such as cover and biomass, potentially overlooking other crucial ecosystem services. Therefore, while our conclusions underscore the effectiveness of reforestation initiatives, future research should aim to establish a more comprehensive understanding of ecosystem services by incorporating additional indicators beyond cover and biomass, such as species diversity, soil health, water retention, and habitat quality.

Unmixing-based forest recovery indicators for predicting long-term recovery success

Recovery from forest disturbances is a pivotal metric of forest resilience. Forests globally are facing unprecedented levels of both natural and anthropogenic disturbances, yet our understanding of their recovery from these disturbances remains incomplete. Remote sensing is an effective tool for understanding post-disturbance recovery, but existing approaches largely rely on spectral recovery indicators that are difficult to interpret and require long time series after disturbance, which limits their applicability to recent disturbance pulses. We here introduce a novel, ecologically informed set of recovery indicators based on fractional cover maps derived from spectral unmixing analysis of Landsat and Sentinel-2 time series. We estimated annual pre- and post-disturbance tree cover and bare ground fractions over the eastern Alps (∼130,000 km2) for the period from 1990 to 2021. From these fraction time series, we derived recovery intervals defined as the time it takes to reach a pre-defined tree cover threshold after disturbance, referred to as canopy recovery. We found mean recovery intervals between 5.5 and 13.4 years, depending on recovery threshold and disturbance severity. Comparing our results to traditional remote sensing-based approaches of mapping forest recovery, we found that spectral unmixing-based recovery indicators give considerably more realistic recovery intervals than approaches based on spectral indices because they effectively distinguish tree regeneration from other post-disturbance vegetation (e.g., shrubs, grasses). Finally, we were able to accurately predict the long-term forest recovery success based on the information available only three years after disturbance, which underlines the high importance of a short window of reorganization post-disturbance, and highlights the utility of remote sensing to inform post-disturbance forest management (e.g., in identifying areas in need of tree planting). Our study thus provides an important step ahead in the remote sensing-based monitoring of forest recovery and resilience, which is urgently needed in a time of rapid forest change.

Influence of Leaf Area Index Inversion and the Light Transmittance Mechanism in the Apple Tree Canopy

Light plays a crucial role in the growth of fruit trees, influencing not only nutrient absorption but also fruit appearance. Therefore, understanding fruit tree canopy light transmittance is essential for agricultural and forestry practices. However, traditional measurement methods, such as using a canopy analyzer, are time-consuming, labor-intensive, and susceptible to external influences, lacking convenience and automation. To address this issue, we propose a novel method based on point clouds to estimate light transmittance, with the Leaf Area Index (LAI) serving as the central link. Focusing on apple trees, we utilized handheld LiDAR for three-dimensional scanning of the canopy, acquiring point cloud data. Determining the optimal voxel size at 0.015 m via standardized point cloud mean spacing, we applied the Voxel-based Canopy Profile method (VCP) to estimate LAI. Subsequently, we established a function model between LAI and canopy light transmittance using a deep neural network (DNN), achieving an overall correlation coefficient R2 of 0.94. This model was then employed to estimate canopy light transmittance in dwarfed and densely planted apple trees. This approach not only provides an evaluation standard for pruning effects in apple trees but also represents a critical step towards visualizing and intelligentizing light transmittance.

The differential impact of climate interventions along the political divide in 60 countries

A major barrier to climate change mitigation is the political polarization of climate change beliefs. In a global experiment conducted in 60 countries (N = 51,224), we assess the differential impact of eleven climate interventions across the ideological divide. At baseline, we find political polarization of climate change beliefs and policy support globally, with people who reported being liberal believing and supporting climate policy more than those who reported being conservative (Cohen’s d = 0.35 and 0.27, respectively). However, we find no evidence for a statistically significant difference between these groups in their engagement in a behavioral tree planting task. This conceptual-behavioral polarization incongruence results from self-identified conservatives acting despite not believing, rather than self-identified liberals not acting on their beliefs. We also find three interventions (emphasizing effective collective actions, writing a letter to a future generation member, and writing a letter from the future self) boost climate beliefs and policy support across the ideological spectrum, and one intervention (emphasizing scientific consensus) stimulates the climate action of people identifying as liberal. None of the interventions tested show evidence for a statistically significant boost in climate action for self-identified conservatives. We discuss implications for practitioners deploying targeted climate interventions.

Maximizing Climate Solutions: Assessing Forest Plantation Productivity and Carbon Sequestration Potential of Tree Species

Climate change is projected to negatively impact forest ecosystems and related industries, emphasizing the urgency of effective mitigation strategies. Forests play a crucial role in climate change mitigation by sequestering carbon dioxide (CO2). Planting trees can contribute significantly, absorbing tonnes of CO2 annually and limiting climate change impacts. This process underscores the vital contribution of forests to mitigating climate change. The aim is to evaluate the role of forest plantation productivity in mitigating climate change and assess the carbon dioxide sequestration potential of some tree species. The carbon dioxide (CO2) sequestration potential of the tree plantations was highest in the moist semi-deciduous north-west (MSDNW) zone followed in a decreasing order by the dry semi-deciduous (DSD) and forest-savannah transition (FST) zones with the values being 23.02 ± 21.84 (SD), 11.16 ± 6.00 and 9.25 ± 5.25 Mg CO2eq ha-1 year-1, respectively. For the various tree species plantations, the CO2 sequestration potential exhibited by Cedrela odorata, mixed species and Tectona grandis stands was given as 36.93 ± 31.21 (SD), 19.06 ± 11.99 and 8.98 ± 4.67 Mg CO2eq ha-1 year-1, respectively. The comprehensive findings underscore the need for nuanced strategies in climate change policies and afforestation initiatives. Sustainable forest management, tailored afforestation practices are recommended to optimize forest plantation contributions to global climate goals.

Soil mycobiomes in native European aspen forests and hybrid aspen plantations have a similar fungal richness but different compositions, mainly driven by edaphic and floristic factors.

The cultivation of short-rotation tree species on non-forest land is increasing due to the growing demand for woody biomass for the future bioeconomy and to mitigate climate change impacts. However, forest plantations are often seen as a trade-off between climate benefits and low biodiversity. The diversity and composition of soil fungal biota in plantations of hybrid aspen, one of the most planted tree species for short-rotation forestry in Northern Europe, are poorly studied. The goal of this study was to obtain baseline knowledge about the soil fungal biota and the edaphic, floristic and management factors that drive fungal richness and communities in 18-year-old hybrid aspen plantations on former agricultural soils and compare the fungal biota with those of European aspen stands on native forest land in a 130-year chronosequence. Sites were categorized as hybrid aspen (17-18-year-old plantations) and native aspen stands of three age classes (8-29, 30-55, and 65-131-year-old stands). High-throughput sequencing was applied to soil samples to investigate fungal diversity and assemblages. Native aspen forests showed a higher ectomycorrhizal (EcM) fungal OTU richness than plantations, regardless of forest age. Short-distance type EcM genera dominated in both plantations and forests. The richness of saprotrophic fungi was similar between native forest and plantation sites and was highest in the middle-aged class (30-55-year-old stands) in the native aspen stands. The fungal communities of native forests and plantations were significantly different. Community composition varied more, and the natural forest sites were more diverse than the relatively homogeneous plantations. Soil pH was the best explanatory variable to describe soil fungal communities in hybrid aspen stands. Soil fungal community composition did not show any clear patterns between the age classes of native aspen stands. We conclude that edaphic factors are more important in describing fungal communities in both native aspen forest sites and hybrid aspen plantation sites than forest thinning, age, or former land use for plantations. Although first-generation hybrid aspen plantations and native forests are similar in overall fungal diversity, their taxonomic and functional composition is strikingly different. Therefore, hybrid aspen plantations can be used to reduce felling pressure on native forests; however, our knowledge is still insufficient to conclude that plantations could replace native aspen forests from the soil biodiversity perspective.

The effect of supplementation with rubber seed kernel pellet on in vitro rumen fermentation characteristics and fatty acid profiles in swamp buffalo

BackgroundRubber seed kernel is a by-product derived from rubber tree plantations. It is rich in C18 unsaturated fatty acids (UFA) and has the potential to be used as a protein source for ruminant diets. This investigation has been conducted to determine the influence of rubber seed kernel pellet (RUSKEP) supplementation on in vitro rumen fermentation characteristics and fatty acid profiles in swamp buffalo. Using a completely randomized design (CRD) and supplementation of RUSKEP at 0, 2, 4, 6, 8, and 10% dry matter (DM) of substrate.ResultsThe supplementation with RUSKEP had no effect on gas kinetics, cumulative gas production, or degradability. Ruminal pH decreased linearly (P < 0.01) and ammonia-nitrogen (NH3-N) concentration decreased quadratically (P < 0.01) by RUSKEP supplementation. The proportion of acetate (C2) decreased linearly (P < 0.01), but propionate (C3) and butyrate (C4) increased linearly (P < 0.01), resulting in a decrease in the acetate to propionate ratio (C2:C3) (P < 0.01) by RUSKEP supplementation. With an increasing level of dietary RUSKEP, there was a slight increase in UFA in the rumen by increasing the oleic acid (OA; C18:1 cis-9 + trans-9), linoleic acid (LA; C18:2 cis-9,12 + trans-9,12), and α-linolenic acid (ALA; C18:3 cis-9,12,15) concentrations (P < 0.01).ConclusionsAdding up to 10% of RUSKEP could improve in vitro rumen fermentation and C18 unsaturated fatty acids, especially ALA, in swamp buffalo.

Forest restoration in practice across Latin America

Forest restoration is a promising solution to counteract climate change, biodiversity loss, and meet a host of socioeconomic objectives. While international initiatives highlight potential contributions of forest restoration as a win-win for people and nature, we lack detailed information on how frontline restoration practitioners are addressing this challenge on the ground. Here, we present a systematic assessment of motivations, scale, and costs of forest restoration implemented by 166 practitioners across 14 countries in Latin America. We found that forest restoration is motivated by interlinked objectives and accordingly, most restoration practitioners concurrently used multiple interventions spanning a range of intensity of inputs matched to the scale of individual projects. Project scale influenced strategy, with low-intensity interventions like natural regeneration implemented when operating at larger scales (≥500 ha). However, active tree planting remains the most frequently used intervention (included in >92 % of programs). Costs of establishing planted areas vary most broadly at the project level ($4445/ha ± 4841 over first 3 years) with little evidence of efficiencies of scale and with additional financial support ($964/ha/yr) required ~10 years past establishment. Moreover, monitoring added substantial additional costs, and we identified widespread misalignment between indicators measured and the most frequently expressed objective of restoring biodiversity. Our results emphasize that, while a promising range of new forest restoration interventions are being implemented across Latin America, lower-cost interventions, accessible and practical monitoring strategies, and better alignment between funding cycles and actual time frames required to achieve restoration objectives are urgently needed to support successful outcomes.

THE ASSESSMENT OF THE FACTORS OF RESILIENCE TO CLIMATE CHANGE AMONG ARABLE CROP FARMERS IN DELTA STATE. NIGERIA.

Climate change is real and overwhelmingly affecting farming activities in Delta State. Objectives of the study are to identify arable crops that the farmers in Delta State cultivate, identify agricultural practices that are resilient to climate change and constraints affecting the choice of agricultural practices in Delta State. Arable crop farmers in Delta State formed the population from which sample was drawn. A multi-stage sampling technique was used to sample the farmers to get the sample size of 225. Data were analyzed with frequency, percentage, mean and standard deviation. Majority of arable crop farmers (55.4%) were female. Maize, cassava, vegetables, beans, cowpea and yam are major arable crops engaged. The results indicated that mixed cropping (=3.18); planting of trees (=3.13); increase use of organic fertilizers (=2.57); mulching of crop (=2.93); planting pest and disease resistant crops (=2.92) were considered serious resilience factors. Factors such as high cost of improved planting varieties (=3.35); poor funding of agricultural rural development program (=3.32); lack of information (=3.34); low capacity of extension agents to boost and build farmers resilience (=3.02) were agreed constraints affecting the choice of agricultural practices. The study revealed that arable crop farmers in Delta State engaged many practices as resilience factors to climate change but many factors affecting their choice of agricultural practices

Perilaku Masyarakat yang Berdampak Terhadap Pencemaran Sungai di Kelurahan Kuin Utara Kota Banjarmasin

Pollution of the Kuin River has caused a decline in river water quality. This research aims to find out the behaviour of the community that causes pollution of the Kuin River, as well as to find out the efforts made in improving the river. The analysis of this research uses the theory of risk society and the theory of environmental ethics. This research uses a qualitative method. Data collection used observation, interview and documentation techniques. The research was conducted for 2 months, from December 2022 - January 2023. The research was conducted in North Kuin Village, North Banjarmasin District, Banjarmasin City. Data analysis techniques consist of data reduction, data presentation and conclusion drawing. The results show that the behaviour of the people of Kuin Utara Village in relation to the river is very diverse. These behaviours have become habits that are difficult to change. People understand that throwing rubbish into the river is a bad habit. The lack of cleaning facilities is also a reason for people to litter. In addition, the lack of government role is one of the factors, where the government's role in handling waste is still very limited compared to the level of waste volume generated every day. Community efforts in improving the river environment are carried out through tree planting activities. Mutual cooperation activities to clean up rubbish are also carried out to create a healthy and clean river environment. These efforts also contribute to the preservation of cultural and religious heritage tourism in Kuin Utara Village. If people do not have a healthy lifestyle, the environment will be polluted, so the role of the entire community is needed to create a clean and comfortable environment.

Urban trees' potential for regulatory services in the urban environment: an exploration of carbon sequestration.

Urbanisation has emerged as a formidable challenge for urban policymakers, reaching unparalleled heights and unsettling the ecological equilibrium of the cities. Urban areas now grapple with many issues encompassing climate change, resource depletion, population surges and increased pollution levels. Many planned cities have planted trees and other vegetation within the urban sectors to enhance air quality, mitigate climate effects and provide valuable ecosystem services. This study assessed tree species diversity and their potential for carbon sequestration in Panjab University Campus, Chandigarh. We established 188 plots, each comprising randomly selected quadrats measuring 10 m × 10 m, encompassing areas with varying levels of vegetation, ranging from low to moderate and high density. We used four different allometric equations to estimate tree biomass and carbon stock. Our findings revealed that 92 tree species belong to 72 genera and 35 families, with a total tree density of 975 ha-1. The total CO2 sequestration in form of carbon stock was 18,769.46 Mg C ha-1, with Manilkara hexandra (1239.20 Mg C ha-1), Ficus benghalensis (1072.24 Mg C ha-1), Kigelia pinnata (989.89 Mg C ha-1) and Lagerstroemia floribunda (716.88 Mg C ha-1) being the top contributors. Specifically, the equation of Chave et al. (2005) without tree height yielded the highest biomass and carbon stock estimates than other equations. The present study underscores the vital role of trees on the campus as potent carbon reservoirs meet to maintain an aesthetic sense for biotic components and alleviate rising levels of CO2 in the atmospheric environment. By emphasising the role of urban trees as potent carbon reservoirs, the study underscores the importance of integrating green infrastructure into urban planning strategies. Furthermore, it offers valuable guidance for urban planners. It suggests that strategic tree planting and maintenance can enhance green spaces, regulate temperatures and ultimately support regional and global climate change mitigation goals. Incorporating these findings into urban planning processes can aid policymakers in developing resilient, ecologically sustainable cities worldwide.

Assessment of air quality benefits of vegetation in an urban‐industrial region of India by integrating air monitoring with i‐Tree Eco model

AbstractIn the last few years, urban trees have emerged as an effective nature‐based solution to mitigate increasing air pollutant levels due to urbanization and industrialization. This study aims to assess the synergistic effect of urban trees on improving air quality by combining real‐time PM2.5 monitoring with the i‐Tree Eco model. The monitoring was conducted during rush hours with high traffic volume and during non‐rush hours, in both the tree alley and a non‐tree road section within the industrial areas of the north‐west region of the National Capital Territory of Delhi, India. The i‐Tree Eco model was run using the diameter at breast height values of tree species present in the study area, and the PM2.5 reduction ability of the trees was quantified. The results from both approaches indicated that urban trees can significantly reduce the traffic‐fed PM2.5 concentrations. Therefore, it is suggested that tree plantations be integrated into air pollution management strategies in urbanized regions with high traffic volumes. Although this study explores the initial link between trees and air quality in Delhi, further research incorporating local wind speed and direction measurements would provide a more comprehensive understanding of how trees influence air quality in any highly polluted urban setting.

Water use characteristics of coexisting sand‐binding vegetation in two typical soil habitats in the desert steppe of China

AbstractUnderstanding the water use characteristics and water relationship of coexisting vegetation in a mixed‐species plantation of trees and shrubs is crucial for the sustainable restoration of degraded arid areas. This study investigated the water use characteristic of coexisting sand‐binding vegetation combinations in the sierozem habitat (Populus przewalskii Maxim namely Populus‐S and Caragana liouana) and aeolian sandy soil habitats (Populus przewalskii Maxim namely Populus‐A and Salix psammophila) of the desert steppe. By analysing the δ2H and δ18O isotopes in xylem, soil water, groundwater and precipitation, a Bayesian MixSIAR model was employed to quantitatively assess the water utilization characteristics of plants. Throughout the growing season, in the sierozem habitat, C. liouana exhibits the highest efficiency in utilizing soil moisture above 60 cm (53.45%) and displays adaptable water use strategies. In contrast, Populus‐A predominantly relies on deep soil moisture below 60 cm plus groundwater (63.89%). In the aeolian sandy soil habitat, both Populus‐A and S. psammophila similarly favour deep soil moisture below the 60 cm soil plus groundwater (66.77% and 67.60%, respectively). During the transition period from the dry to the wet seasons, although both Populus‐A and S. psammophila in the aeolian sandy soil habitat shifted their water sources from deeper to shallower ones, there was considerable overlap in the water sources used by Populus‐A and S. psammophila. This overlap led to competition for water resources and exacerbated the depletion of deep soil moisture in both seasons. Conversely, in the sierozem habitat, the partitioning of water sources between Populus‐S and C. liouana facilitated the allocation and utilization of water resources between the two species. The findings highlight the need for species‐specific consideration in water resource allocation within mixed‐species plantations of trees and shrubs, which is crucial for sustainable vegetation restoration in sand‐binding ecosystems.

Assessment of impacts of flood and coping strategies among rural households in Gicumbi district, Rwanda

Floods have become recurrent events in Rwanda, causing diverse effects on rural households across the country. However, little is known about the effects of floods encountered by people and their coping strategies, which are crucial for reducing vulnerability. Gicumbi District is among the most exposed to climate hazards and is vulnerable to the impacts of climate change. The effects of floods on rural households in Gicumbi district and their coping strategies were examined. A mixed approach was adopted where quantitative data was collected to inform wider understanding of a population and qualitative ones to acquire deep contextual insights about individual’s lived experiences. A structured questionnaire was used to collect data from 399 heads of households stratified into six district sectors. The study employed descriptive and inferential statistics for data analysis. Common effects of flooding experienced by the respondents included crop destruction, house damage, lack of sufficient food and safe drinking water. The coping strategies adopted by the respondents included saving money and food, support from friends and families, selling assets, borrowing money to restore losses, and migrating to other communities. In addition, flood victims received support from local authorities and Non-Governmental Organizations (NGOs), including financial support, temporary shelters, and life support materials. Adaptation strategies adopted by households included drainage channels, plantation of trees, radical terraces and sandbags. The results showed that lack of flood risk knowledge and access to early warnings, inadequate housing, living in high-risk areas, and dependence on a single source of income were the main factors influencing the severity of flood effects. Early warnings (p < 0.001) and flood risk awareness (p = 0.009) significantly elicited positive coping mechanisms. Governments and relevant stakeholders should develop effective strategies and establish programs enabling timely access to early warning systems and increasing disaster risk awareness to reduce vulnerability for improved livelihoods and community resilience.

Profitability of coffee-based agroforestry system to support farmers’ income in Toba Regency, North Sumatra Province, Indonesia

Indonesia is a country with the application of agroforestry systems on community land. People who live in Toba Regency, North Sumatra have long applied coffee-based agroforestry systems and have become a hereditary tradition. The purpose of this study is to determine the profitability of coffee-based agroforestry land and economic value for farmers so that it can be developed further. Coordinate points of land distribution, taken with GPS, conducted interviews, profitability analysis and income analysis to obtain farmer land data. Mapping the distribution of farmers’ coffee-based agroforestry land was mapped with ArcGIS 10.8. Four respondent farmers implemented coffee-based agroforestry (Coffea arabica) with a planting distance of 2 m x 2.5 m combined with Gmelina arborea (white teak), Eucalyptus sp. (eucalyptus), Cinnamomum verum (cinnamon), Pinus merkusii (pine), Psidium guajava (guava), Durio zibethinus (durian), Persea americana (avocado), and others. Based on the profitability analysis, all four farmers’ lands are feasible for further development. The economic value of land depends on the area of land managed by the farmer, where farmers with a land area of 2 Ha have the largest income during 10 years of land management, namely Mr. Bisken with an income of IDR 162,719,500. Utilization of Multi-Purpose Trees Species (MPTS) or plantation and industrial crops can increase the economic value and profitability of farmers’ land.