Forest Land Use Research Articles

Assessing the status of soil seed bank in Parthenium hysterophorus invaded land use types and its social aspects in Lower Hare Watershed, Southern Ethiopia

In Ethiopia, Parthenium hysterophorus (P. hystrophorus) is an invasive alien plant affecting various ecosystems. P. hysterophorus displaced native plant species and caused a serious threat to biodiversity. This study aimed to assess soil seed bank of P. hysterophorus under major land use types and assess community perception towards the effects of P. hysterophorus on social aspects in lower Hare watershed. For this study, 210 soil samples were collected from fifteen transect lines in grassland, cropland, and forest land use types. Statistical analysis using three ways factorial ANOVA was used to analyze the difference in density of P. hysterophorus among various land uses soil depths, and sites (P < 0.05). For the perception of local communities regarding the effects of P. hysterophorus, a total of 117 respondents were used and semi-structured and close-ended questionnaires for data collection. It found that all factors: land use, site, and soil depth significantly affected the soil seed bank density in the lower Hare watershed (P < 0.05). Results indicated that mean density of seeds were the highest in croplands of other land use types. Meanwhile, the highest mean density of seeds was identified in 0-10 cm soil depth, but the lowest mean density of seeds was identified in 10-15 cm soil depth. The highest seeds were identified at Chano Cheliba, but the density of seeds the lowest in density at Kola Shera. 38.5% of households in Kola Shera, and 21.4% in Kola Cheliba, but 8.5% in Kola Doriga said that it had effects on ecosystem services such as crop yield and livestock production. There should be a need for increased awareness about the density of P. hysterophorus in various land uses and its impacts on native plant species. Seeking possible solutions such as biological and mechanical control methods are among the local people, researchers, and extension workers can use for the management of its invasion, and appropriate control measures can be designed to combat its further invasion and impacts on different land uses of the region.

Spatiotemporal Analysis of Land Use and Land Cover Dynamics of Dinderesso and Peni Forests in Burkina Faso

Spatiotemporal Analysis of Land Use and Land Cover Dynamics of Dinderesso and Peni Forests in Burkina Faso

Analysis of short- and long-term controls on the variability of event-based runoff coefficient

Study regionThis study focuses on the Ohio Region, which spans 11 states in the eastern United States. Study focusRunoff coefficients are crucial in hydrology, indicating the relationship between rainfall and runoff. Understanding their controls and variability is essential for water resource assessment, management strategies, and land use planning. This research examines factors influencing runoff coefficients and their trends in the Ohio region using data from the North American Land Data Assimilation System phase-2 (NLDAS-2) Mosaic Land Surface Model, covering 2000–2020. The analysis considers short-term controls, such as climatic features (rainfall intensity, amount, and duration), hydrological factors (antecedent soil moisture, drainage density, and curve number), topographic factors (drainage area, land use, slope, elevation), and watershed shape. Additionally, the study investigates trends in runoff coefficients and their long-term controls, including climatic factors and land use changes. New hydrological insights for the regionThe findings indicate that runoff coefficients increase with antecedent soil moisture and rainfall intensity. Higher elevations show lower runoff coefficients due to forested land use. Larger watersheds have lower runoff coefficients at low rainfall intensity but higher ones when intensity is high. Long-term trends reveal soil moisture as the primary control, with land cover changes as a secondary factor. This research deepens understanding of runoff coefficient dynamics and controls in the Ohio region. Future studies could explore the impacts of urbanization, reservoirs, evapotranspiration, and snowmelt on runoff coefficients.

Cloud Computing Application for the Analysis of Land Use and Land Cover Changes in Dry Forests of Peru

Cloud Computing Application for the Analysis of Land Use and Land Cover Changes in Dry Forests of Peru

Decision dynamics and landscape approach by individuals and collective groups: the case of Japanese rural land use in agricultural, forest, and boundary areas in an era of population decline

Establishing a decision-making scheme for multiple land use types in a shrinking society is an urgent and persistent task. In particular, residents and governments face the complexity of cross-sectoral visions over concerned landscapes. This study examined the preference of residents for future visions and the effects of group deliberation in a Japanese rural community to enhance the current understanding of decision and learning processes on cross-sectoral land use types (i.e., agricultural land, forest land, and boundary areas) across ages and groups. This study posed the following questions: (i) what types of interactions do residents find among options on cross-sectoral land uses? and (ii) how do group deliberation influence the individual preferences of residents for land use? In the survey, the residents disclosed their preferences for the prepared visions over three land use types. The survey also enabled the comparison of choices before and after group deliberation. Regarding question (i), the residents’ choice prior to the deliberation demonstrated thematic coherence through land use categories. Smart technology and potential productivity improvement were selected across agriculture and forests. However, regarding question (ii), thematic coherence decreased after the group deliberation. The residents could communicate disagreements during group deliberation and consider the issues relatively independently over land use types, which separately views agriculture lands and forests. The choice after group discussions became increasingly embedded and influenced by residential areas and land ownership of residents. These findings provide unique insights into the group discussion on how individual decisions are affected. In summary, the preferences of cross-sectoral land use types did not converge but tended to diverge.

Measuring Well-Being Index with Environmental in Mind: Evidence Forest Land Use in Indonesia

This project aims to create an objective composite wellbeing index from the point of view of the whole by using a complete welfare methodology and suggested weightings to take into account the differences between the components. Forestry total productivity (TFP) was also compared because of the importance of the environmental component in preparing the well-being index. This study examined 64 social, economic, environmental, and institutional indicators from the BPS-Statistics Indonesia, the Ministry of Environment and Forestry, and the National Disaster Management Agency. Three primary analysis elements were highlighted in this investigation. First, PCA created a weighted index of eleven important domains. Second, it creates a well-being index model for Indonesia's environmental sustainability. Third, comparing forestry's environmental dimension to its TFP. This study found that the Indonesian wellbeing model under construction weighs environmental quality, living conditions, including housing, and happiness. Indonesia's disaster-prone locations make environmental quality important, unlike other wellbeing indices. Forest degradation has decreased the composite wellbeing index, notwithstanding other socio-economic improvements. This study stands out from past research by being the first to compare the environmental dimension with forestry total factor productivity (TFP). Deforestation significantly affects the well-being index in Indonesia.

The AFOLU sector’s role in national decarbonization: a comparative analysis of low-GHG development pathways in Brazil, India and Indonesia

ABSTRACT This paper analyses the role that AFOLU (agriculture, forest and other land use) plays in national deep decarbonization scenarios in Brazil, India and Indonesia between 2020 and 2050. It finds that the LULUCF (land use, land use change and forestry) subsector is important for medium-term mitigation (2020–2030) while continuing to contribute to mitigation over the long-term (2030–2050) in the three countries. Mitigation actions in LULUCF include drastically reducing deforestation (Brazil, Indonesia) and peat degradation (Indonesia), re-/afforestation (all), increased sequestration in standing forests (Brazil, Indonesia) and increasing soil carbon in agricultural lands (India). AFOLU further contributes to mitigation in Brazil and Indonesia by producing biomass feedstock for bioenergy. No country significantly reduces N2O and CH4 emissions from either agriculture or via demand-side actions on diets, due to trade-offs with food security, rural livelihoods and economic growth (although all countries reduce the GHG intensity of agricultural products). Furthermore, the paper analyses national policies to manoeuvre co-benefits and trade-offs between mitigation and other sustainable development goals (SDGs), including no poverty (1); zero hunger (2); decent work and economic growth (8); climate action, including both adaptation and mitigation (13); and life on land (15). Common policy areas were identified, including incentives to land managers for conservation or more environmental agricultural practices; changing regulations of land use to protect ecosystems and/or encourage shifts in agricultural practices; and strengthening enforcement capacity of land protection.

Sustainability of the community model of avocado production in the Monarch Butterfly Biosphere Reserve, Michoacán, México

The avocado is a commodity crop that has generated severe environmental and social impacts in Michoacán, the world’s leading producer. Current studies overlook the diversity of avocado production by focusing on Michocán’s central region, while the regions of a more recent expansion remain poorly studied. We analyzed the model of avocado production in five indigenous communities in the municipality of Zitácuaro that have part of their territory within the Monarch Butterfly Biosphere Reserve. We use the Framework for the Evaluation of Management Systems using Sustainability Indicators to characterize and evaluate the sustainability of the Community Model of Avocado Production (CMAP). Based on 42 interviews with producers, we identified eleven critical points related to environmental (small-scale production; forest conservation; high prophylactic use of agrochemicals; high dependence on irrigation), economic (high crop diversity; low profitability; high yield loss to pests; low economic diversification), and social (high dependence on technical advisors; low dependence on labor force external to the community; few changes in land ownership) aspects of sustainability. The CMAP has productive and socio-political characteristics that represent strengths and weaknesses for its sustainability. The main environmental results suggest that the avocado expansion (2007–2022) in the communities did not involve a change in forest land use. Socially, the CMAP favors the local workforce and facilitates the maintenance of land ownership. The sustainability of CMAP is mostly limited by its economic aspects. With adequate economic support for socially and environmentally sustainable productive practices, the CMAP can improve the local livelihoods while promoting forest conservation.

Research on the Implementation of Customary Law in the Protection of Forests and Forest Land by Ethnic Minorities in Đắk Lắk Province (Vietnam) today

Livelihood methods and the transition from subsistence production to commodity production are factors affecting current communities and also influence the changes in nature and the capacity of communities in managing and using natural resources. This article is conducted based on the collection, evaluation, and analysis of current Vietnamese legal documents and policies on Land, Forest Protection and Development, Civil Codes, sub-law resolutions, and other local documents. It also involves analyzing documents on the current state of forests, forest land, ethnic minority groups, and their customary laws. The content of the article provides an overall picture of the current state of using customary law in the management and use of forests and forest land in ethnic minority communities at the study sites.

How does geology influence the effect of land use on stream macroinvertebrate communities?

Abstract Both catchment geology and land use surrounding a stream will affect the degree of fine sediment deposition from erosion and its consequent impacts on stream macroinvertebrate communities. While geology and land use have been shown to impact stream communities individually, their interaction has received less attention. We investigated the interaction between geology and land use on stream macroinvertebrate communities in the Tairāwhiti Region, New Zealand. The region has streams that drain harder sandstones and softer shales and mudstones, the latter having some of the highest erosion rates in the world. Macroinvertebrates were sampled each year between 2016 and 2018 at 80 sites in exotic forest, indigenous forest and pasture streams that drained hard or soft geology catchments. Conductivity in pasture and exotic forest streams was nearly twice as high as in indigenous forest streams and higher in soft than hard sediment streams. Deposited sediment cover was greater in soft than hard sediment streams, and greater in pasture and exotic forest streams than in indigenous forest streams. Periphyton cover did not differ between land uses but was higher in soft sediment streams. Ecological health was higher in the indigenous forest sites, intermediate in exotic forest sites and lowest in pasture streams. Biological indices were also higher within each land use in streams draining hard than soft sediment streams. Invertebrate communities appear to be determined primarily by the amount of deposited fine sediment and conductivity, both of which are higher in soft than in hard bottom streams, and in exotic forest and pasture streams. Synthesis and applications: Our results illustrate a complex and strong interaction between geology and land use and the consequent impact on stream macroinvertebrate communities. The combination of soft bottom streams with pasture or exotic forest land use is more detrimental than in similar hard bottom streams. Therefore, regulations for the management of any given land use need to be much stricter in catchments dominated by soft sediment geology.

Spatiotemporal carbon sequestration by forests among counties and grids in China

Top-down emission reduction target setting results in inability of local governments to develop differentiated plans for emission reduction. Forests have received considerable attention as an important source of carbon sequestration, especially following China's commitment to carbon neutrality. However, studies have paid little attention to spatiotemporal differences of downscale forest carbon sequestration in China over the long term due to data limitations, while also ignoring the large differences in forest carbon sequestration per unit area among different regions. Here, a basic dataset of forest carbon sequestration among counties and grids in China is constructed and the temporal drivers and spatial differences of forest carbon sequestration were investigated from the perspectives of counties' administrative boundaries and 0.5 by 0.5 degree grid combining modelling, GIS spatial analysis and a decomposition method. Changes in forest land use between 2000 and 2020 were also analysed. The results highlight the importance of forests in managing carbon sequestration among all types of terrestrial vegetation and the differences in forest carbon sequestration per unit area. The scale effect increased forest carbon sequestration in the first two periods (2000–2005 and 2005–2010), followed by a decrease since 2010. The intensity effect promoted carbon sequestration; in particular, a dramatic increase was observed from the second (2005–2010) to the third period (2010–2015). The heterogeneity of the scale effect of forest carbon sequestration increased compared to that of the intensity effect, both from administrative and geographical divisions. The scale and intensity effects of counties located in the northern regions of northeast China enhanced forest carbon sequestration, while counties located in southern and central China inhibited it during the study period. The scale effect of grids changed from enhanced to inhibited forest carbon sequestration mainly in northeast China near 120°E, whereas the intensity effect of grids increased from inland regions in central China to eastern coastal regions during the study period. This study provides references for policymakers to set differentiated emission reduction targets considering the local forest carbon sequestration.

Soil Quality Index Analysis of Pine Forest Land Use Types on Dryland in Aceh Besar Regency

This study aims to determine the analysis of soil quality index in pine forest land use type on dry land in Aceh Besar Regency. This research focused on several field observation points in the pine forest land use type area on dry land in Aceh Besar Regency. The soil quality index in the pine forest land use type in Aceh Besar Regency is included in the medium category. This is due to soil sampling on the inceptisol soil type in Aceh Besar Regency, which has characteristics of less fertile soil. Soils that have a high percentage of dust have a higher risk of erosion, because dust has a relatively small size so that it is easily washed away by surface flow. low C-organic content, high volume weight, pH H2O, K- exchangeable, P-available and low N-total. In the type of pine forest land use, special treatment is needed in the form of adding organic matter to the soil by fertilizing, reforesting pine plants and conducting drainage so as to reduce nutrient leaching in the top soil layer.

LUCA: A Sentinel-1 SAR-Based Global Forest Land Use Change Alert

The Land Use Change Alert (LUCA) dataset was developed for effective and timely monitoring of global forest changes that are mostly associated with human activities. Near- real-time changes of forest land use are mapped at 0.05 ha minimum mapping unit for all forest types across the Earth’s ecoregions, every two weeks. LUCA is based on Sentinel-1 cloud penetrating synthetic aperture radar (SAR) observations to circumvent limitations of optical imagery from pervasive cloud cover over forested areas globally, and especially in the tropics. The methodology is based on a combination of time-series change detection and machine learning analytics to achieve high accuracy of alerts across all ecoregions and landscapes globally with an average area-adjusted users and producers accuracy of 83% and 63%, respectively. The bi-weekly global alert maps capture forest clearing associated with deforestation and industrial timber harvesting, along with forest degradation associated with selective logging, fragmentation, fire, and roads. The product was developed and released publicly through Google Earth Engine to allow for the rapid assessment of land use change activities, quantifying patterns and processes driving forest change and dynamics across forest ecoregions. LUCA is designed to help monitor a variety of emission reduction programs at the local to regional scales and play a key role in implementing regulations on deforestation-free products.

U-Net Convolutional Neural Network for Mapping Natural Vegetation and Forest Types from Landsat Imagery in Southeastern Australia.

Accurate and comparable annual mapping is critical to understanding changing vegetation distribution and informing land use planning and management. A U-Net convolutional neural network (CNN) model was used to map natural vegetation and forest types based on annual Landsat geomedian reflectance composite images for a 500 km × 500 km study area in southeastern Australia. The CNN was developed using 2018 imagery. Label data were a ten-class natural vegetation and forest classification (i.e., Acacia, Callitris, Casuarina, Eucalyptus, Grassland, Mangrove, Melaleuca, Plantation, Rainforest and Non-Forest) derived by combining current best-available regional-scale maps of Australian forest types, natural vegetation and land use. The best CNN generated using six Landsat geomedian bands as input produced better results than a pixel-based random forest algorithm, with higher overall accuracy (OA) and weighted mean F1 score for all vegetation classes (93 vs. 87% in both cases) and a higher Kappa score (86 vs. 74%). The trained CNN was used to generate annual vegetation maps for 2000-2019 and evaluated for an independent test area of 100 km × 100 km using statistics describing accuracy regarding the label data and temporal stability. Seventy-six percent of pixels did not change over the 20 years (2000-2019), and year-on-year results were highly correlated (94-97% OA). The accuracy of the CNN model was further verified for the study area using 3456 independent vegetation survey plots where the species of interest had ≥ 50% crown cover. The CNN showed an 81% OA compared with the plot data. The model accuracy was also higher than the label data (76%), which suggests that imperfect training data may not be a major obstacle to CNN-based mapping. Applying the CNN to other regions would help to test the spatial transferability of these techniques and whether they can support the automated production of accurate and comparable annual maps of natural vegetation and forest types required for national reporting.

Greenhouse gas fluxes of different land uses in mangrove ecosystem of East Kalimantan, Indonesia

BackgroundMangrove ecosystems exhibit significant carbon storage and sequestration. Its capacity to store and sequester significant amounts of carbon makes this ecosystem very important for climate change mitigation. Indonesia, owing to the largest mangrove cover in the world, has approximately 3.14 PgC stored in the mangroves, or about 33% of all carbon stored in coastal ecosystems globally. Unfortunately, our comprehensive understanding of carbon flux is hampered by the incomplete repertoire of field measurement data, especially from mangrove ecosystem-rich regions such as Indonesia and Asia Pacific. This study fills the gap in greenhouse gases (GHGs) flux studies in mangrove ecosystems in Indonesia by quantifying the soil CO2 and CH4 fluxes for different land use types in mangrove ecosystems, i.e., secondary mangrove (SM), restored mangrove (RM), pond embankment (PE) and active aquaculture pond (AP). Environmental parameters such as soil pore salinity, soil pore water pH, soil temperature, air temperature, air humidity and rainfall are also measured.ResultsGHG fluxes characteristics varied between land use types and ecological conditions. Secondary mangrove and exposed pond embankment are potential GHG flux sources (68.9 ± 7.0 and 58.5 ± 6.2 MgCO2e ha− 1 yr− 1, respectively). Aquaculture pond exhibits the lowest GHG fluxes among other land use types due to constant inundation that serve as a barrier for the release of GHG fluxes to the atmosphere. We found weak relationships between soil CO2 and CH4 fluxes and environmental parameters.ConclusionsThe data and information on GHG fluxes from different land use types in the mangrove ecosystem will be of importance to accurately assess the potential of the mangrove ecosystem to sequester and emit GHGs. This will support the GHG emission reduction target and strategy that had been set up by the Indonesian Government in its Nationally Determined Contributions (NDC) and Indonesia’s 2030 Forest and Other Land Use (FOLU) Net Sink.

Distribution of Soil Macrofauna Diversity and Abudance Land Used at Moving Agricultura Systems Warmare District, Regency of Manokwari, Province of West Papua

Warmare District, Manokwari Regency, West Papua Province is one of the areas where the people still maintain the shifting cultivation system and it has even become one of the local wisdoms in the area. This research aims to examine the diversity and density of soil macrofauna on shifting cultivation land in the Warmare District, Manokwari Regency. The method used in this research is the direct handsorting method in the field and macrofauna identification using a binocular microscope. Data analysis used in this research was cluster analysis with PAST (Powerful Software for Scientific Data Analysis) software version 3.4 and used the Landmarks 3D PCA test to see the relationship between soil macrofauna diversity and land use types. The research results showed that the highest density and diversity of soil macrofauna was shown by the use of forest land with 38 taxa at a depth of 0-10 cm and 37 taxa at a depth of 10-20 cm. Where the high diversity composition of the Shannon-Weaner index is shown by forest land use with a value of 0.94 and is reinforced by the low Simpson index value of 0.30 for forest land use. This is in line with the results of the PCA analysis which shows that macrofauna forest land is compared with monoculture cultivation land and polyculture cultivation land.

Overstory functional groups indicate the legacy of land use in a secondary tropical forest in southwestern China

Overstory functional groups indicate the legacy of land use in a secondary tropical forest in southwestern China

Analisis Kritis Putusan Pengadilan Tata Usaha Negara dalam Perselisihan Izin Pinjam Pakai Kawasan Hutan untuk Pembangunan PLTA Tampur

The aim of this research is to analyze the Banda Aceh PTUN decision Number 7/G/LH/2019/PTUN.BNA which was issued on August 28 2019. This decision granted the lawsuit filed by the Indonesian Forum for the Environment (Walhi) against the Governor of Aceh regarding licensing in publishing Borrow-to-Use Forest Area Permit for the Construction of the Tampur-I Hydroelectric Power Plant (443 MW) covering an area of ​​4,407 Ha in the name of PT Kamirzu in Gayo Lues Regency, Aceh Tamiang Regency, and East Aceh Regency, Aceh Province. The research method used in the article is a case study with a qualitative approach with research using secondary data from several Banda Aceh PTUN decision documents Number 7/G/LH/2019/PTUN.BNA, in the form of journal articles and related news. As a result of this research, the Banda Aceh PTUN Panel of Judges decided that the Dispute Object was invalid, and required the Defendant to withdraw the Dispute Object. The use of forest land for development does not comply with applicable licensing regulations, and the use of forest land for development also does not reflect permits that function in the public interest

Refining greenhouse gas emission factors for Indonesian peatlands and mangroves to meet ambitious climate targets

For countries' emission-reduction efforts under the Paris Agreement to be effective, baseline emission/removals levels and reporting must be as transparent and accurate as possible. For Indonesia, which holds among the largest area of tropical peatlands and mangrove forest in the world, it is particularly important for these high-carbon ecosystems to produce high-accuracy greenhouse gas inventory and to improve national forest reference emissions level/forest reference level. Here, we highlight the opportunity for refining greenhouse gas emission factors (EF) of peatlands and mangroves and describe scientific challenges to support climate policy processes in Indonesia, where 55 to 59% of national emission reduction targets by 2030 depend on mitigation in Forestry and Other Land Use. Based on the stock-difference and flux change approaches, we examine higher-tier EF for drained and rewetted peatland, peatland fires, mangrove conversions, and mangrove on peatland to improve future greenhouse gas flux reporting in Indonesia. We suggest that these refinements will be essential to support Indonesia in achieving Forest and Other Land Use net sink by 2030 and net zero emissions targets by 2060 or earlier.

Carbon Sequestration Dynamics in Peri-Urban Forests: Comparing Secondary Succession and Mature Stands under Varied Forest Management Practices

This study examines the impact of silvicultural and land-use management practices on carbon sequestration in peri-urban forest ecosystems, with a particular focus on human-induced carbon dynamics. The study area’s complex profile spans from a compact native forest to varying degrees of fragmentation. This included areas undergoing secondary succession forest without silvicultural interventions (No-SI) alongside sites subjected to high-intensity (High-SI) and low-intensity silvicultural interventions (Low-SI). The research assessed carbon stocks and sequestration in different carbon pools (living biomass, dead organic matter and soil) using field data, allometric equations and laboratory analysis. Findings reveal a significant correlation between the intensity of anthropogenic interventions and variations in carbon stocks. The CASMOFOR model facilitated the reconstruction of carbon stock and carbon-stock change dynamics over four decades (1980–2022), showing disparities in carbon storage capabilities linked to the structural characteristics of the sites. The Low-SI site had the highest carbon stock in all carbon pools (378 tonnes C ha−1), which is more than double compared to High-SI (161 tonnes C ha−1) or No-SI sites (134 tonnes C ha−1). However, the secondary succession forest (No-SI) demonstrated the highest annual carbon stock change (4.4 tonnes C ha−1 year−1), two times higher than the Low-SI mature stand (2.2 tonnes C ha−1 year−1), emphasising the resilience of forest ecosystems to recover and sustain carbon sequestration capacities after harvesting if forest land use remains unchanged. The study underscores the significant importance of anthropogenic interventions on carbon dynamics, especially for living tree biomass, which has consequences in enhancing carbon sequestration and contributing to emission reduction targets.