Species identification is a critical factor for obtaining accurate forest inventories. This paper compares the same method of tree species identification (at the individual crown level) across three different types of airborne laser scanning systems (ALS): two linear lidar systems (monospectral and multispectral) and one single-photon lidar (SPL) system to ascertain whether current individual tree crown (ITC) species classification methods are applicable across all sensors. SPL is a new type of sensor that promises comparable point densities from higher flight altitudes, thereby increasing lidar coverage. Initial results indicate that the methods are indeed applicable across all of the three sensor types with broadly similar overall accuracies (Hardwood/Softwood, 83–90%; 12 species, 46–54%; 4 species, 68–79%), with SPL being slightly lower in all cases. The additional intensity features that are provided by multispectral ALS appear to be more beneficial to overall accuracy than the higher point density of SPL. We also demonstrate the potential contribution of lidar time-series data in improving classification accuracy (Hardwood/Softwood, 91%; 12 species, 58%; 4 species, 84%). Possible causes for lower SPL accuracy are (a) differences in the nature of the intensity features and (b) differences in first and second return distributions between the two linear systems and SPL. We also show that segmentation (and field-identified training crowns deriving from segmentation) that is performed on an initial dataset can be used on subsequent datasets with similar overall accuracy. To our knowledge, this is the first study to compare these three types of ALS systems for species identification at the individual tree level.

This study was carried out in the adjacent communities of the Hakaluki haor, the largest inland freshwater wetland of Bangladesh to explore their socio-economic status and haor-based livelihood dependency. Hakaluki haor is a poverty stricken region with 37% households falling into extreme poor group having monthly income of Tk 2 000.00 only. More than half of the community view Hakaluki haor as the vital source of livelihoods. The surrounding community is dependent on the haor in varying degree (15% totally dependent, 32% moderately and 53% less) with a variety of livelihood activities like fishing and related profession (32%), duck rearing (29%), cattle rearing (28%), fuel wood collection (6%), sand extraction (3%) and reed collection (2%). The average annual household incomes from fishing of naturally available fish, pisciculture and NTFPs collection are Tk 21 701.35, Tk 31 524.83 and Tk 2 704.80, respectively. The haor serves as the source of fuel for cooking to a majority of the community (48%). The respondents identified over-exploitation of fish resources, use of excessive pesticides and gradual increase of human settlement in and around the haor as the most threatened events. With the designation as Ecologically Critical Area (ECA) by the government, immediate attempts should be taken to ensure sustainable utilization of the haor resources. Development of integrated management plan with a provision of the participation of local stakeholders may become the possible way of conserving this wetland.This study was carried out in the adjacent communities of the Hakaluki haor, the largest inland freshwater wetland of Bangladesh to explore their socio-economic status and haor-based livelihood dependency. Hakaluki haor is a poverty stricken region with 37% households falling into extreme poor group having monthly income of Tk 2 000.00 only. More than half of the community view Hakaluki haor as the vital source of livelihoods. The surrounding community is dependent on the haor in varying degree (15% totally dependent, 32% moderately and 53% less) with a variety of livelihood activities like fishing and related profession (32%), duck rearing (29%), cattle rearing (28%), fuel wood collection (6%), sand extraction (3%) and reed collection (2%). The average annual household incomes from fishing of naturally available fish, pisciculture and NTFPs collection are Tk 21 701.35, Tk 31 524.83 and Tk 2 704.80, respectively. The haor serves as the source of fuel for cooking to a majority of the community (48%). The respondents identified over-exploitation of fish resources, use of excessive pesticides and gradual increase of human settlement in and around the haor as the most threatened events. With the designation as Ecologically Critical Area (ECA) by the government, immediate attempts should be taken to ensure sustainable utilization of the haor resources. Development of integrated management plan with a provision of the participation of local stakeholders may become the possible way of conserving this wetland.

This study evaluated the accuracy of boreal forest above-ground biomass (AGB) and volume estimates obtained using airborne laser scanning (ALS) and RapidEye data in a two-phase sampling method. Linear regression-based estimation was employed using an independent validation dataset and the performance was evaluated by assessing the bias and the root mean square error (RMSE). In the phase I, ALS data from 50 field plots were used to predict AGB and volume for the 200 surrogate plots. In the phase II, the ALS-simulated surrogate plots were used as a ground-truth to estimate AGB and volume from the RapidEye data for the study area. The resulting RapidEye models were validated against a separate set of 28 plots. The RapidEye models showed a promising accuracy with a relative RMSE of 19%–20% for both volume and AGB. The evaluated concept of biomass inventory would be useful to support future forest monitoring and decision making for sustainable use of forest resources.

Forest management is at the crossroads of economic, environmental, and social goals, often requiring strategic trade-offs. As global demands surge, it's vital to employ management strategies fostering multifunctional landscapes, enabling ecosystem integrity while procuring resources. Historically, the boreal forest in Fennoscandia has been intensively managed for timber, causing environmental shifts and conflicts with biodiversity conservation and climate mitigation policies. Application of current management practices while increasing harvests are a threat to both biodiversity and carbon stocks. To explore this issue, we quantify the cost-efficiency of two forest management regimes: rotation forestry (RF) and continuous cover forestry (CCF), considering specific forest attributes like soil type (mineral and peat soils), site type (fertility classes) and tree stand age, which have been underexplored in previous research. We simulated 45,559 forest stands for 100 years in Northern boreal forests of Finland. We proposed two straightforward cost-efficiency indices (CEI) to evaluate the performance of these management regimes, specifically focusing on their impact on economic output, biodiversity conservation (measured as a biodiversity index for six forest vertebrates, including five bird species and one mammal) and carbon stock. Our findings suggest that continuous cover forestry holds the potential to deliver more cost-efficient ecosystem services and maintain greater biodiversity compared to rotation forestry approaches. Continuous cover forestry, however, is not optimal for all at management units, which calls for alternative management options depending on the stand characteristics. The cost-efficiency indices performance of rotation forestry and continuous cover forestry depend on the characteristics of the initial stand which is largely determined by the previous management of the stand. Our results contribute to guiding forest management towards enhanced sustainability and ecological balance. The great variation in stand characteristics suggest a need for diverse management strategies to create multifunctional landscapes. Our proposed cost-efficiency indices could serve as practical tools for decision-making.