Reforestation Of Areas Research Articles

Optimizing afforestation and reforestation strategies to enhance ecosystem services in critically degraded regions

Human activity has caused massive forest ecosystem damage, threatening the global environmental balance. Afforestation and reforestation are crucial strategies for the restoration of forest ecosystem functions. This study was conducted on Belitung Island, Indonesia, which has experienced forest degradation due to mining activity and is currently undergoing forest restoration efforts. This study aimed to identify priority areas for afforestation and reforestation using an innovative approach that integrates multi-criteria analysis (MCA) and machine-learning techniques based on ecosystem service (ES) indicators, wildfire susceptibility, and environmental pressure. This study is the first to combine long-term remote sensing data with machine learning to develop priority scenarios for afforestation and reforestation. Results show that low-priority afforestation areas cover 24,479.66 ha (20.45 %), medium-priority areas 58,703.30 ha (49.04 %), and high-priority areas 36,521.98 ha (30.51 %). For reforestation, low-priority areas cover 23,123.45 ha (30.45 %), medium-priority areas 38,197.36 ha (50.3 %), and high-priority areas 14,618.27 ha (19.25 %). This study is expected to serve as a reference for sustainable forest ecosystem restoration efforts in various regions by leveraging ES approaches and environmental conditions using remote-sensing technology.

Application of artificial neural network for description of the Earth remote sensing data to identify natural habitats used by European elk, Alces alces (Linnaeus, 1758), in autumn-winter period 2023

The paper presents the results of using neural networks of pixel-by-pixel image classification to decipher multichannel space images obtained by the Landsat 8 satellite. Natural habitats were identified based on differences in phytocenotic characteristics of land areas. The level of use of areas by elk was determined by the occurrence of elk presence indicators, which were the density of winter excrement piles (in spring) and the abundance of winged forms of the monoxenous ectoparasite of elk, Lipoptena cervi (Linnaeus, 1758), as measured by the number of individuals attacking the census taker (in the summer-autumn period). The material that forms the basis for deciphering was obtained by the route census method in different areas of the Leningrad Province. High values of the measured parameters were recorded in reforestation areas, in wet pine and birch forests, in aspen forests, on the edges of raised bogs and in overgrown fields – typical elk winter feeding habitats. Based on the data on the maximum values of the measured parameters, a positive correlation was established for the first time between the abundance of winged forms of L. cervi and the physiological activity of the host (the density of the piles of “winter” excrement). The paper also provides a valid reference to the material of schematic maps developed for a part of the territory of the Leningrad Province and Saint Petersburg. The scheme of the use of areas by elk is compiled on the basis of the relative index calculated from the measured parameters of the survey. Field observation areas and territories close to them were most reliably identified (90–95% accuracy). For areas not covered by field observations, the paper provides comments on the main inaccuracies of the schemes and the reasons for the identified discrepancies, based on an analysis of literary sources devoted to similar research topics. The results of the study indicate that the frequency of attacks of winged forms of L. cervi can be used as an additional criterion for assessing the stationary preferences of elk in the winter period using information on the period of active flight, and the decoding method mentioned in the paper can be used in limited areas of specific territories, including reserves, areas of hunting farms and district forestries.

Changes in fungal abundance and biochemical properties of soil through a temporal restoration of forests

Changes due to the exploratory management of the soil and cultivated plant species can interfere with the cycling of nutrients vital for soil fertility. This biogeochemical cycling of soil is an interaction of physical, chemical, and biological processes that can be altered by land use change and management. Therefore, the objective of this study was to evaluate soil quality indicators in sand-extraction-degraded areas that had been reforested at different times and compare them to an unrestored area and native forest fragments. The five areas reforested with native Atlantic Forest species were 20, 17, 10, 7, and 5 years old. The fungal abundance, microbial respiration rate, enzyme activity, and C content were evaluated in soil samples collected at a depth of 10 cm. In addition, the total organic carbon, soluble carbon content, total carbohydrates, moisture, organic matter, and pH of these soils were studied. Our results verified a significant improvement in the fertile fraction of these soils due to the action of microorganisms in the different reforestation areas. The longer the reforestation period, the more the soil exhibited similar characteristics to native forests and approached the level of primary forests. The unrestored sand mining degraded soil area had the poorest fungal community and the least biochemical activity, which was less than the fungal abundance and activity of the most recent reforestation. These results suggest that the use of microbial and enzymatic activities as soil quality indicators is a viable approach to assess the impact suffered from past uncontrolled exploitation in areas that are undergoing ecological restoration processes of native forests.

Functional traits drive tadpole responses to land use in coastal areas

Abstract Land use changes are considered a significant cause of amphibian declines worldwide. However, little is known regarding which land uses have more pervasive impacts and which help to supplement the biodiversity conserved in protected areas. In addition, amphibian species respond to a broad array of geographical constraints, which may blur responses to disturbance, depending on the species' natural history. Here, we explored whether functional diversity patterns of amphibian assemblages are linked to human land use while considering spatial autocorrelation and phylogenetic relatedness among species. We surveyed tadpoles along 500 km in coastal wetlands in southern Brazil and quantified four traits related to tadpole habitat use and predator avoidance. Spatial components influenced functional richness to a greater extent than land use. Functional evenness was higher in ponds surrounded by more exotic reforestation, and to a lesser extent an effect of crop area. Functional divergence was also associated with reforestation areas. Our results showed that some land uses (reforestation with exotic species and temporary crops) have more pervasive impacts on tadpole communities. Such changes in amphibian communities occurred even at low levels of landscape change. Our findings highlight that conversion to human land use requires complementary approaches (i.e., tadpole and adult responses) to provide early warning signals about habitat modification effects.

Influence of reforestation tree species on decomposition of larch stumps and coarse roots: role of wood microbial communities and soil properties

Abstract Stumps and coarse roots are the most important coarse woody debris component in managed forests. However, their decomposition is still poorly understood, especially the influence of the characteristics of the microbial communities on wood decomposition. In this study, we investigated decaying larch (Larix olgensis Henry) stumps and coarse roots in reforestations of birch (Betula pendula Roth.), ash (Fraxinus mandshurica Rupr.), pine (Pinus sylvestris var. Mongolica), and larch in the northeast of China. We measured wood density loss, cellulose, and lignin concentrations, analyzed microbial community composition, and assessed the physical and chemical properties of woodland soils. Our findings reveal that larch stumps and coarse roots experienced the most rapid decomposition within birch reforestation areas, exhibiting significant density loss in stumps (33.84%) and coarse roots (43.68%). Bacterial diversity on larch stumps and coarse roots was highest in birch reforestation, with dominant phyla including Proteobacteria, Actinobacteriota, and Bacteroidota. Fungal diversity was also highest in birch reforestation, with Ascomycota as the dominant phylum in larch stumps and coarse roots. Furthermore, a mantel test analysis indicated that soil pH and temperature were significant factors in wood decomposition which affected microbial communities. This suggests that the choice of the reforestation tree species affects the decomposition of stumps and coarse roots by affecting soil properties and wood microbial communities. Understanding this process is vital for refining carbon balance evaluations, and enhancing ecosystem-level carbon modeling.

Deforestation detection and reforestation potential due to natural disasters—A case study of floods

Forests play a crucial role in our planet’s health and well-being, providing numerous ecological benefits and mitigating climate change. This research addresses the pressing issue of deforestation in flood-affected regions, focusing on the impact of climate change. Our study explores the potential of employing remote sensing data and AI-based analysis to develop a novel unsupervised learning approach for addressing the problem of deforestation detection, an area that has seen limited prior exploration. Utilizing Sentinel-2 data, unsupervised learning techniques are employed to identify deforested areas caused by floods in Pakistan. The quantitative results show that the forests in Pakistan reduced from 3.9% before the floods to about 3.41% after the floods. The study also explores and identifies the potential areas for reforestation which is estimated to be nearly 10.7% of the total area of Pakistan apart from the area covered by the forests. The findings underscore the urgent need for effective conservation strategies and reforestation efforts to mitigate the devastating loss of forest cover and safeguard our planet’s future.

Land-use patterns and fungal bioaerosols in the Brazilian Atlantic Forest biome

Whilst the importance of fungal primary biological aerosol particles (PBAPs) has been recognised, few studies have empirically assessed how land-use patterns influence them. Here, we show the impacts of different land-use patterns on fungal PBAPs within the Brazilian Atlantic Forest biodiversity hotspot. Spanning a distance of ca. 600 km within this biome, we collected fungal bioaerosols in the following land-use patterns: a 25-year-old coffee plantation, a 2.5-year-old Eucalyptus plantation, a 3-months-old maize crop, a 2-year-old and another 7-year-old native forest reforestation area, and a native forest fragment. Using the portable Burkard air sampler, a total of 14 morphotype-species were found. Cladosporium sp. comprised as much as about 95% of all fungal spores collected, being present in all samples (frequency of 100%). Forest systems had as much as 5-to-19-fold more fungal spores in the air than maize crops. Sampling height and time (morning vs. afternoon) did not influence fungal concentration and number of species. In addition, using data derived from an eddy covariance tower in the Eucalyptus site, we estimated the emission rate to be 6649 spores m−2 s−1. Our study confirms that land-use patterns affect fungal PBAPs, and that replacing large areas of native Atlantic Forest by monospecific stands, a homogenisation of airborne fungi is occurring, with unknown consequences for climate regulation.

Cryopreservation techniques in genipap and mangaba: challengers and perspectives

The genipap (Genipa americana L.) is a native species of Brazil, found in various regions of the country, from the North to the South, including Sergipe. On the other hand, the mangabeira (Hancornia speciosa Gomes), another Brazilian tropical plant, is recognized for its fruits rich in iron and vitamin C, widely exploited by the pulp, juice, and ice cream industry. However, it faces threats due to urban development in the coastal region. To preserve these species, techniques such as cryopreservation are fundamental. This approach, which maintains plant tissues at ultra-low temperatures, allows the conservation of genetic material indefinitely, contributing to the maintenance of biological diversity. Encapsulation technology, which involves enclosing plant material in a specific matrix, is also promising in this context, offering a long-term preservation method for plant explants and embryos. These methods represent significant advances in the field of plant species conservation, providing effective strategies to ensure the survival of these plants in the face of environmental challenges and human development. The objective of this review is to address some studies involving cryopreservation techniques for genipap and mangaba species. Through cryopreservation techniques, we can achieve ex situ conservation for the germplasm bank as well as for plant regeneration and reforestation of areas. It is evident that there is a need to increase studies on the conservation of both species.

Economic analysis of China’s grain for green policy: theory and evidence

First phase of the grain for green (GFG) policy, one of the China’s forest policies, was implemented in the late 1990s and ended in 2012. The first phase of the GFG policy was successful from a macro perspective, although there were some failures. Based on these outcomes, the second phase of the GFG policy was implemented from 2014 to 2020. This study used panel data to develop an empirical land use model and conduct a comparative static analysis focusing on the GFG policy. Results of the static analysis confirmed factors that affect GFG for the years 2002–2018. In addition, differences in the explanatory variables between the first (2002–2012) and second periods (2014–2018) were determined. Furthermore, differences in GFG subsidies between the northern and southern provinces in the first phase were analyzed for their effects on a reforestation area. The main results revealed that the amount of investment in GFG and rural livelihood security had a positive effect on the expansion of the area of GFG. In addition, the amount of investment in GFG was more effective during the second period than the first period.

Feasibility of Energy Self-Sufficiency by Biomass Production in A Brazilian State

Objective: This study aims to analyze the potential of using industrial black liquor or black lye residue from the eucalyptus pulp and paper production process as an alternative source of energy, in order to alleviate the current energy crisis. Theoretical framework: The study is based on literature regarding energy generation from biomass, focusing on the utilization of black liquor residue in thermoelectric power generation. Therefore, the thermoelectric generation from black liquor or black lye, cellulose biomass residue as an alternative source in energy generation, characterizes an important electrical feedback path in pulp production processes, also generating surplus energy for the supply network, relief of demand in the face of the current energy crisis. Method: The methodology employed in this study entails applied research, that investigates energy generation from black liquor in integrated plants of eucalyptus forest biomass, in reforestation areas for pulp production. Results and conclusion: The results indicate that energy generation from black liquor is a viable alternative to mitigate the current energy crisis, contributing to regional sustainable development. Projections suggest that by 2024, 85% of bioenergy can will be generated from this source in in the micro-region of Brazil. Therefore, adequate planning brings great expectations for regional sustainable development. Implications of the research: The research contributes to advancing scientific knowledge in the field of energy generation from biomass, demonstrating the potential of black liquor residue as an alternative energy source. Originality/value: The research contributes to advancing scientific knowledge in the field of energy generation from biomass, demonstrating the potential of black liquor residue as an alternative energy source.

Современная практика искусственного лесовосстановления в таежной зоне европейской части России

The article presents an analysis of technologies and techniques for creating forest plantations used in the Arkhangelsk and Kirov Regions, as well as the Komi Republic, based on the materials of reforestation projects for 2020. The territories under consideration belong to 6 forest areas: the Northern taiga, the Dvina-Vychegda taiga, the Southern taiga, the coniferous- broad-leafed (mixed) forests, the Western Ural taiga and the area of tundra forests and sparse taiga. The database created on the basis of the data from reforestation projects includes 13 indicators: categories of reforestation areas, forest vegetation conditions (terrain, soil type, soil moisture, group of forest types, degree of turfing), as well as tillage methods, mechanisms and aggregates used for tillage and planting seedlings and saplings and planting stock type. It has been established that in the studied regions, reforestation is more often carried out in fresh (1–2-year-old) felling areas in place of spruce plantations of blueberry forests, with podzolic drained and poorly drained soils. When cultivating soil for forest plantations, excavators are widely used (44 %), replacing traditional tractors with ploughs (usually PL-1). In most areas, furrow tillage is prevalent (52 %), but strips, mounds and patch scarification are also common (40 %). Containerized spruce and pine planting stocks have become more widely used (more than 50 % of the area), though seedlings are extremely rare (7 % in the Kirov Region). The data obtained allow us to asses the real picture of the use of reforestation technologies in the taiga zone on the example of three subjects of the Russian Federation, which will help the subjects of the Russian Federation in making management decisions for exercising their powers in the reforestation field.

A protocol and a data-based prediction to investigate virus spillover at the wildlife interface in human-dominated and protected habitats in Thailand: The Spillover Interface project.

The Spillover Interface Project aims at assessing the encounter of wildlife, domestic animals, and humans along a landscape gradient from a protected area to a residential community, through areas of reforestation and agricultural land. Here, we present the protocols of the project that combine virus screening in humans, bats, rodents and dogs with camera trapping, land-use characterization, and network analyses. The project is taking place in the sub-district of Saen Thong (Nan Province, Thailand) in collaboration with local communities, the District Public Health Office, and Nanthaburi National Park. To formulate a predictive hypothesis for the Spillover Interface Project, we assess the wildlife diversity and their viral diversity that could be observed in Saen Thong through a data science analysis approach. Potential mammalian species are estimated using data from the International Union for Conservation of Nature (IUCN) and their associated viral diversity from a published open database. A network analysis approach is used to represent and quantify the transmission of the potential viruses hosted by the mammals present in Saen Thong, according to the IUCN. A total of 57 viruses are expected to be found and shared between 43 host species, including the domestic dog and the human species. By following the protocols presented here, the Spillover Interface Project will collect the data and samples needed to test this data-driven prediction.

“Éden Fluminense:” from a reforestation area on the Tijuca massif to a Europeanized public space in Rio de Janeiro in the latter half of the nineteenth century

Resumo O artigo reflexiona sobre o processo de ressignificação do maciço da Tijuca, na segunda metade do século XIX, após o projeto de plantio da Floresta da Tijuca, a partir da proposição de usos sociais das florestas, alinhando-se ao imaginário eurocêntrico de valorização da natureza. Vale-se de fontes primárias do Arquivo Nacional e da Biblioteca Nacional, especialmente da Hemeroteca Digital. Desvela a mudança na percepção dessas áreas verdes, onde a floresta plantada deixou de ser unicamente um espaço para uso silvicultural futuro, passando a ser também uma floresta-parque, para recreação e contemplação da natureza, sem excluir a apreciação das madeiras nobres e das paisagens, evocando a ideia de nacionalismo e modernidade.

"Éden Fluminense:" from a reforestation area on the Tijuca massif to a Europeanized public space in Rio de Janeiro in the latter half of the nineteenth century.

This article reflects on the resignification of the Tijuca massif during the latter half of the nineteenth century after the planting of the Tijuca Forest, based on notions of the social uses of forests which were in line with Eurocentric imagery prizing nature. We utilized primary sources from the Brazilian Arquivo Nacional and Biblioteca Nacional, especially the Hemeroteca Digital online collection. The perception of these green areas shifted, with planted forests evolving from solely spaces for future forestry use to also serve as forest parks for recreation and contemplating nature, while still permitting appreciation of fine wood and landscapes and evoking the idea of nationalism and modernity.

Exploring watershed ecological risk bundles based on ecosystem services: A case study of Shanxi Province, China

Humans are having an increasingly profound impact on the environment along with the advent of the Anthropocene. Ecological risk assessment (ERA) as a method to quantify ecological problems can provide support for decision-makers, and it is one of key issues to integrate ecosystem services into ERA. In this study, an ERA framework was proposed under the loss-probability paradigm from the perspective of ecosystem services risk bundles. The results showed that initiatives aimed at ecological protection in Shanxi Province had been effective, the number of watersheds with low-risk bundles increased significantly (from 16.09% to 34.49%) and the watersheds basically overlapped with key forestation areas. However, the effects of forestation activities may no longer be as significant as they once were, as the relationship between forestation and water supply was becoming increasingly contradictory. Meanwhile, the conflict between urban expansion and natural ecosystem protection was intensifying, habitat degradation risks were gradually polarized, and the risk bundles dominated by high carbon emission and habitat degradation were increasing significantly (from 15.88% to 33.54%). Strengthening the construction of urban green space and controlling the expansion of human activities may be the next focus of ecological conservation in Shanxi Province. This study enriched the ERA framework with an ecosystem services risk bundle approach.

Cost of mitigating climate change through reforestation in China

Reforestation is a potentially large-scale approach for removing CO2 from the atmosphere, thereby helping China achieve its goal of carbon neutrality by 2060. Although China has set ambitious national targets, the cost of mitigating climate change through reforestation has yet to be identified across space and time over the next 40 years. We construct spatially disaggregated marginal abatement cost curves for reforestation by modeling the effects of compensation for enhanced CO2 removals on reforestation. We project that carbon prices (compensation) of US$20 tCO2−1 and US$50 tCO2−1 would motivate land users in China to enhance reforestation by 3.35 Mha (2.65%) and 8.53 Mha (6.74%) respectively from 2020 to 2060 relative to the business-as-usual (BAU) scenario (127 Mha). Carbon dioxide removals through reforestation between 2020 and 2060 in China would be enhanced by 0.0124 GtCO2/yr (1.7%) at US$20 tCO2−1 or 0.0315 GtCO2/yr (4.3%) at US$50 tCO2−1, relative to the BAU scenario (0.740 GtCO2/yr). The cost potential of carbon dioxide removal demonstrates significant spatial heterogeneity. The top 10 provinces (Yunnan, Sichuan, Guangxi, Guizhou, Hunan, Guangdong, Heilongjiang, Jiangxi, Fujian, and Zhejiang), which comprise 73.19% of low-cost abatement potential, should be identified as priority areas for reforestation. Our results confirm the vast potential for low-cost CO2 removal through reforestation to address China’s carbon neutrality challenges while underscoring that targeting reforestation to regions with the greatest potential for low-cost CO2 removal would significantly reduce the cost burden.

Carbon Dioxide and Heat Fluxes during Reforestation in the North Caucasus

Human impact on natural ecosystems has significantly increased in recent decades. As a result, the structure and functioning of ecosystems are seriously altered. This in turn affects regional weather and climate conditions through changes in the radiation, water, and carbon balance of ecosystems. Investigating the process of natural ecosystem restoration after disturbances is an important issue in the context of climate change. During monitoring observations of greenhouse gas (GHG) fluxes in a reforestation area in the Chechen Republic, new experimental data on their seasonal variability were obtained, and their sensitivity to changes in environmental conditions was assessed. Forest restoration and land reclamation are essential components of the low-carbon development and decarbonization strategy of the world economy. Observations of GHG fluxes were conducted in the reclaimed area, which was planted with tree seedlings. One year of eddy covariance flux measurements (May 2022–June 2023) demonstrated that CO2 uptake by the reforestation area in a humid continental climate with hot summers and cold winters is determined by the moisture conditions of the growing season. The cumulative net ecosystem exchange (NEE) for the entire measurement period at the carbon farm was 613.7 gC·m−2. The uptake of CO2 by the reforestation area was observed only due to active seedling growth during periods of sufficient soil moisture (May 2023). During this time, total NEE uptake was 48.7 gC·m−2. Sensible and latent heat fluxes were also dependent on weather conditions, primarily on incoming solar radiation and moisture conditions. For the successful implementation of climate projects aimed at the creation of artificial forest ecosystems with high CO2 uptake capacity, it is essential to develop appropriate hydro-meliorative measures that ensure a sufficient amount of available soil moisture.

Potential Erosion in Mining, Oil Palm Plantations, and Watersheds Reforestation Areas

Erosion forecasting is a complex issue generated by numerous causes, the extent of which varies based on the unique area and conditions. Changes in rainfall, land cover, and watershed function are the primary causes of increased erosion. This study aims to scrutinize the actual and potential erosion in the mining area (MA), oil palm plantations (OPP), and watersheds reforestation (WR) in Asoloe, South Konawe, Indonesia. We utilized qualitative research methods and surveys with the USLE model. MA shares the highest actual erosion with 332.30 tons/ha/year, with an average erosion of 27.69 tons/ha/year from 2011 to 2022. Meanwhile, the potential erosion is 4747.19 tons/ha/year, with an average of 395.60 tons/ha/year. In terms of current conditions, 44.6% of rainfall engenders erosion with more than 0.5 t/ha and 33.9% with more than 1 t/ha. This study successfully demonstrates that for given location and area characteristics, high amounts of rainfall and changes in land function eminently affect soil erosion and that the potential erosion changes that occur in the Asoloe watershed every year are exceptionally influenced by changes in land use and land function. Therefore, some mitigation strategies and policies must be taken to reduce the risk of future erosion. Doi: 10.28991/CEJ-2023-09-09-07 Full Text: PDF

Predicting potential reforestation areas by Quercus ilex (L.) species using machine learning algorithms: case of upper Ziz, southeastern Morocco.

The selection of appropriate areas for reforestation remains a complex task because of influence by several factors, which requires the use of new techniques. Based on the accurate outcomes obtained through machine learning in prior investigations, the current study evaluates the capacities of six machine learning techniques (MLT) for delineating optimal areas for reforestation purposes specifically targeting Quercus ilex, an important local species to protect soil and water in upper Ziz, southeast Morocco. In the initial phase, the remaining stands of Q. ilex were identified, and at each site, measurements were taken for a set of 12 geo-environmental parameters including slope, aspect, elevation, geology, distance to stream, rainfall, slope length, plan curvature, profile curvature, erodibility, soil erosion, and land use/land cover. Subsequently, six machine learning algorithms were applied to model optimal areas for reforestation. In terms of models' performance, the results were compared, and the best were obtained by Bagging (area under the curve (AUC) = 0.98) and Naive Bayes (AUC = 0.97). Extremely favorable areas represent 8% and 17% of the study area according to Bagging and NB respectively, located to the west where geological unit of Bathonian-Bajocian with low erodibility index (K) and where rainfall varies between 250 and 300 mm/year. This work provides a roadmap for decision-makers to increase the chances of successful reforestation at lower cost and in less time.

Application of integrated spatial analysis and NDVI for tree monitoring in reclamation area of coal mine.

Reclamation, defined as one of the important processes in mining, is commonly conducted to regain the value of the land after natural resource extraction. The process involves many activities such as reforestation, remediation, and land transformation. Even supposing that those processes can be monitored, thus some of the progress in those activities cannot be numerically evaluated, especially for reforestation. Mae Moh mine, the largest coal mine in Southeast Asia, is in the early stage of reclamation where a large scale of reforestation must be accomplished. However, the monitoring and evaluation of the improvement of those areas are based on manual field observation which is time-consuming and inefficient. For a purpose of subsiding the conventional method, integrated spatial technology was assigned as the main tool in defining the effective indirect method for monitoring and evaluating the reforested area. In this study, the remote sensing techniques, based on satellite-images and multispectral-UAV, were compared to define the most appropriate data collecting method which will be assigned as the main tool for gathering the data over the reforestation area of Giant crepe-myrtle, Indian cork Tree, Laza wood, and Teak. These collected data were further analyzed into normalized difference vegetation index (NDVI) and used as the dependent variable for linear regression with significant parameters, affecting the growth of the reforested species. The results of the study defined that the suitable collecting method is the multispectral-UAV which can give %RSD of NDVI range from 16.58 to 40.75. In accordance with the analysis, the R2 of the regression modeling for each species ranged from 0.568 to 0.831, which can determine the feasibility of assigning the model for the indirect monitoring scheme for the reclamation.