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Forests are an essential part of the ecosystem and play an irreplaceable role in maintaining the balance of the ecosystem and protecting biodiversity. The monitoring of forest distribution plays an important role in the conservation and management of forests. This paper analyzes and compares the performance of imagery from GF-1 WFV, Landsat 8, and Sentinel-2 satellites with respect to forest/non-forest classification tasks using the random forest algorithm (RF). The results show that in the classification task of this paper, although the differences in classification accuracy among the three satellite datasets are not remarkable, the Sentinel-2 data have the highest accuracy, GF-1 WFV the second highest, and Landsat 8 the lowest. In addition, it was found that remotely sensed data of different processing levels show little influence on the classification accuracy with respect to the forest/non-forest classification task. However, the classification accuracy of the top of the atmosphere reflectance product was the most stable, and the vegetation index has a marginal effect on the distinction between forest and non-forest areas. [ABSTRACT FROM AUTHOR]

Social forestry (SF) has long been implemented in production and protected forests in Indonesia. SF is considered to be a win–win solution for occupied and cultivated forest areas. The aim of this paper was to review the implementation of social forestry in Indonesia and its strengths and challenges. The secondary purpose was to synthesize the lessons learned and recommendations for the government about designing SF that can integrate the objective of forest biodiversity conservation and the social welfare of the surrounding communities. The study used a systematic literature review (SLR) of international and national peer-reviewed articles. The results of the study indicate that SF is intended to achieve benefits in three main areas: social, economic, and ecological. However, the review found that the ecological aspects of biodiversity conservation often receive less attention compared to the social and economic goals. A strong point of SF implementation is increasing community access to forest land use, while a challenge that must be resolved is that including communities in forest management can result in fragmentation and changes to animal habitats; thus, there is the potential for population decline and extinction. This study advises policymakers to pay more attention to ecological functions to ensure forest sustainability in SF development. [ABSTRACT FROM AUTHOR]

Plant diversity is an important parameter in maintaining forest ecosystem services, functions and stability. Timely and accurate monitoring and evaluation of large-area wall-to-wall maps on plant diversity and its spatial heterogeneity are crucial for the conservation and management of forest resources. However, traditional botanical field surveys designed to estimate plant diversity are usually limited in their spatiotemporal resolutions. Using Sentinel-1 (S-1) and Sentinel-2 (S-2) data at high spatiotemporal scales, combined with and referenced to botanical field surveys, may be the best choice to provide accurate plant diversity distribution information over a large area. In this paper, we predicted and mapped plant diversity in a subtropical forest using 24 months of freely and openly available S-1 and S-2 images (10 m × 10 m) data over a large study area (15,290 km2). A total of 448 quadrats (10 m × 10 m) of forestry field surveys were captured in a subtropical evergreen-deciduous broad-leaved mixed forest to validate a machine learning algorithm. The objective was to link the fine Sentinel spectral and radar data to several ground-truthing plant diversity indices in the forests. The results showed that: (1) The Simpson and Shannon-Wiener diversity indices were the best predicted indices using random forest regression, with ȓ2 of around 0.65; (2) The use of S-1 radar data can enhance the accuracy of the predicted heterogeneity indices in the forests by approximately 0.2; (3) As for the mapping of Simpson and Shannon-Wiener, the overall accuracy was 67.4% and 64.2% respectively, while the texture diversity's overall accuracy was merely 56.8%; (4) From the evaluation and prediction map information, the Simpson, Shannon-Wiener and texture diversity values (and its confidence interval values) indicate spatial heterogeneity in pixel level. The large-area forest plant diversity indices maps add spatially explicit information to the ground-truthing data. Based on the results, we conclude that using the time-series of S-1 and S-2 radar and spectral characteristics, when coupled with limited ground-truthing data, can provide reasonable assessments of plant spatial heterogeneity and diversity across wide areas. It could also help promote forest ecosystem and resource conservation activities in the forestry sector. [ABSTRACT FROM AUTHOR]

In addition to management for forest products, an increasing priority in the management of forests is the provision and maintenance of ecosystem services. They found that nematodes reacted quickly to wind damage in forests with a loss of community structure and diversity in beech forests, but not in spruce forests. [Extracted from the article]

Although forest ecosystems are fundamental sources of services and global biodiversity, their capacity to maintain these benefits in the future is potentially threatened by anthropogenic impacts such as climate change, land use, and unsustainable management practices. Thus far, studies focusing on forests and their services have gained less attention compared with studies on other biomes. Additionally, management practices may potentially undermine the capacity of forests to sustain biodiversity conservation and services in the future, especially outside protected areas. This study linked the concepts of biodiversity and forest ecosystem services at the national level in Italy. Through a downscaled review, we first analyzed management issues, challenges, and needs within the context of forest ecosystem services. We then carried out a survey on protected areas. The results show that forest biodiversity supports the provision of other services and, hence, needs to be preserved and supported by adaptive management practices. Current research on forest ecosystem services must extend policy trajectories to protected areas (i.e., National Parks) as centers of biodiversity and models of the sustainable use of resources. [ABSTRACT FROM AUTHOR]

The previous studies show soil microbes play a key role in the material and nutrient cycles in the forest ecosystem, but little is known about how soil microbes respond to plant distribution, especially in the soil bacterial community in woody bamboo forests. Cephalostachyum pingbianense (Hsueh & Y.M. Yang ex Yi et al.) D.Z. Li & H.Q. Yang, 2007 is known as the only bamboo species producing shoots all year round in natural conditions. Endemic to the Dawei mountain in Yunnan of China, this species is a good case to study how soil bacteria respond to plant endemic distribution. In this work, we assayed the soil chemical properties, enzyme activity, changes in the bacterial community along the distribution range of the C. pingbianense forest. The results showed that soil nutrients at the range edge were nitrogen-rich but phosphorus-deficient, and soil pH value and soil urease activity were significantly lower than that of the central range. No significant difference was detected in soil bacterial diversity, community composition, and function between the central and marginal range of C. pingbianense forest. Notably, the relative abundance of heterotrophy bacteria, such as Variibacter and Acidothermus, in the soil of the C. pingbianense forest was significantly higher than that of the outside range, which may lead to a higher soil organic carbon mineralization rate. These results imply that abundant heterotrophy bacteria were linked to the endemism and full-year shooting in C. pingbianense. Our study is amongst the first cases demonstrating the important role of heterotrophy bacteria in the distribution formation of endemic woody bamboos in special soil habitats, and provides insight into germplasm conservation and forest management in woody bamboos. [ABSTRACT FROM AUTHOR]

Despite the definition of social and cultural values as the third pillar of Sustainable Forest Management (SFM) in 2003 and the guidelines for their implementation in SFM in 2007 issued by the Ministerial Conference on the Protection of Forest in Europe (MCPFE), the importance of cultural values is not sufficiently transferred into forest planning and conservation. Tuscany is widely known for the quality of its cultural landscape, however, the abandonment of agro-pastoral surfaces as a consequence of rural areas depopulation, has led to widespread reforestation and to the abandonment of forest management. In addition, due to the interruption of a regular forest management and to the fact that most of the population lives in cities, forests are no more perceived as part of the cultural heritage, but mainly as a natural landscape. Due to this trend traditional forest management techniques, such as coppicing, have also been considered as a factor of degradation and not even a historical management form. The aim of the study is therefore to analyze forest surface changes in Tuscany in the last century to assess the importance of cultural values. Results highlighted that already in 1881 most of forests were regularly managed and that in 1936 more than 76% of broadleaved forests were managed as coppice. Between 1936 and 2016 forests increased their surface from 876,518 to 1,161,383 hectares due to the abandonment of the countryside, and 30% of the forests currently included in protected areas are the result of secondary successions. The findings of this study suggest the revision of national forest policies and, more in general, the adaptation of forest strategies to local conditions. [ABSTRACT FROM AUTHOR]

Here we present a framework for identifying areas with high dead wood potential (DWP) for conservation planning needs. The amount and quality of dead wood and dying trees are some of the most important factors for biodiversity in forests. As they are easy to recognize on site, it is widely used as a surrogate marker for ecological quality of forests. However, wall-to-wall information on dead wood is rarely available on a large scale as field data collection is expensive and local dead wood conditions change rapidly. Our method is based on the forest growth models in the Motti forest simulator, taking into account 168 combinations of tree species, site types, and vegetation zones as well as recommendations on forest management. Simulated estimates of stand-level dead wood volume and mean diameter at breast height were converted into DWP functions. The accuracy of the method was validated on two sites in southern and northeastern Finland, both consisting of managed and conserved boreal forests. Altogether, 203 field plots were measured for living and dead trees. Data on living trees were inserted into corresponding DWP functions and the resulting DWPs were compared to the measured dead wood volumes. Our results show that DWP modeling is an operable tool, yet the accuracy differs between areas. The DWP performs best in near-pristine southern forests known for their exceptionally good quality areas. In northeastern areas with a history of softer management, the differences between near-pristine and managed forests is not as clear. While accurate wall-to-wall dead wood inventory is not available, we recommend using DWP method together with other spatial datasets when assessing biodiversity values of forests. [ABSTRACT FROM AUTHOR]

Bamboos are opportunistic species that rapidly colonize open areas following forest disturbance, forming dense clusters that alter the regenerative processes and maintain lower levels of tree diversity. Widespread forest degradation, especially in Latin America and Asia, and human-induced introduction have allowed native and non-native bamboo species to thrive, hindering successional pathways that would otherwise lead to more diverse forests; such a large-scale phenomenon is a key concern in the conservation of forest resources around the globe. Despite previous research on this phenomenon, little is known about the long-term effects of bamboo dominance on forest structure and composition and the corresponding interaction with natural regeneration. As such, we sought to evaluate the long-term effects of bamboo dominance on the dynamics of adult forest populations considering two forest types (Bamboo Forest—BF and Araucaria Forest—AF) over an 11-year period in the Embrapa Research Station in Caçador, Brazil. We monitored 20 plots (15 × 15 m) in each forest type where we tagged, identified, and measured the height and diameter of all the trees taller than 1.5 m (H) and diameter at breast height (DBH) greater than 3.18 cm. Comparisons were based on forest species diversity and structure parameters. In BF, diversity of species increased after the bamboo die-off that occurred in 2006 with a subsequent reduction in the number of pioneer species overtime. However, secondary species remained stagnant demonstrating that recruitment and transition into higher size classes is restricted to the immediate die-off aftermath. On the other hand, plant diversity and structure in the relatively bamboo-free AF were stable with secondary species accounting for the most richness. Our results confirm that BF maintains significantly lower levels of diversity that are restricted to pioneer species; AF structure and diversity are not significantly affected by bamboo die-off and recolonization; and BF tree species are caught in a closed cycle of arrested successional development. The widespread presence of bamboos as dominant species in the region should become a part of the conversation pertaining to forest management and conservation in Brazil and other countries in south America and Asia. [ABSTRACT FROM AUTHOR]