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48 results for “tree inventory”
Tree characteristics of 84 aspen that were alive and 76 that were dead when sampled in 2016 from 22 plots (8 sites) that are a part of the Cooperative Alaska Forest Inventory (CAFI)
This dataset contains diameter at breast height (DBH) in 2016 and 1997, canopy position in 2016, last year of full growth, year of death, year established, age at last year of full growth, and age at year of death of 84 aspen that were alive and 76 that were dead in 2016 from 22 plots (8 sites) that are a part of the Cooperative Alaska Forest Inventory (CAFI).
Forest Inventory of a Whole Tree Harvest: Hubbard Brook Experimental Forest Watershed 5, 2004, 20 years post-harvest
A whole-tree harvest was conducted during the dormant season of 1983-1984 in order to assess ecosystem response to whole-tree logging operations. Pre-harvest forest inventory surveys were conducted in 1982 on the whole of the watershed. Post-harvest surveys were conducted in 1990, 1994 and every 5 years thereafter. This dataset was collected in summer of 2004. Survey methods differed between years due to the variability These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Forest Inventory of a Whole Tree Harvest: Hubbard Brook Experimental Forest Watershed 5, 2009, 25 years post-harvest
A whole-tree harvest was conducted during the dormant season of 1983-1984 in order to assess ecosystem response to whole-tree logging operations. Pre-harvest forest inventory surveys were conducted in 1982 on the whole of the watershed. Post-harvest surveys were conducted in 1990, 1994 and every 5 years thereafter. This dataset was collected in summer of 2009. Survey methods differed between years due to the variability These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Forest Inventory of a Whole Tree Harvest: Hubbard Brook Experimental Forest Watershed 5, 1982, pre-harvest
A whole-tree harvest was conducted during the dormant season of 1983-1984 in order to assess ecosystem response to whole-tree logging operations. Pre-harvest forest inventory surveys were conducted in 1982 on the whole of the watershed and are presented in this dataset. Full post-harvest surveys were conducted in 1990, 1994 and every 5 years thereafter. Survey methods differed between years due to the variability encountered in the aggrading forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Forest Inventory of a Whole Tree Harvest: Hubbard Brook Experimental Forest Watershed 5, 1990, 7 years post-harvest
A whole-tree harvest was conducted during the dormant season of 1983-1984 in order assess ecosystem response to whole-tree logging operations. Pre-harvest forest inventory surveys were conducted in 1982 on the whole of the watershed. Post-harvest surveys were conducted in 1990, 1994 and every 5 years thereafter. This dataset was collected in summer of 1990. Survey methods differed between years due to the variability encountered in the aggrading forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Forest Inventory of a Whole Tree Harvest: Hubbard Brook Experimental Forest Watershed 5, 1994, 10 years post-harvest
A whole-tree harvest was conducted during the dormant season of 1983-1984 in order assess ecosystem response to whole-tree logging operations. Pre-harvest forest inventory surveys were conducted in 1982 on the whole of the watershed. Post-harvest surveys were conducted in 1990, 1994 and every 5 years thereafter. This dataset was collected in summer of 1994. Survey methods differed between years due to the variability encountered in the aggrading forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Forest Inventory of a Whole Tree Harvest: Hubbard Brook Experimental Forest Watershed 5, 1999, 15 years post-harvest
A whole-tree harvest was conducted during the dormant season of 1983-1984 in order assess ecosystem response to whole-tree logging operations. Pre-harvest forest inventory surveys were conducted in 1982 on the whole of the watershed. Post-harvest surveys were conducted in 1990, 1994 and every 5 years thereafter. This dataset was collected in summer of 1999. Survey methods differed between years due to the variability encountered in the aggrading forest. These data were gathered as part of the Hubbard Brook Ecosystem Study (HBES). The HBES is a collaborative effort at the Hubbard Brook Experimental Forest, which is operated and maintained by the USDA Forest Service, Northern Research Station.
Forest inventory data from Finland and Sweden for: Demographic performance of European tree species at their hot and cold climatic edges, plus ancillary climate data
<p>1. Species range limits are thought to result from a decline in demographic performance at range edges. However, recent studies reporting contradictory patterns in species demographic performance at their edges cast doubt on our ability to predict climate change demographic impacts. To understand these inconsistent demographic responses at the edges, we need to shift the focus from geographic to climatic edges and analyse how species responses vary with climatic constraints at the edge and species' ecological strategy.</p> <p>2. Here we parameterised integral projection models with climate and competition effects for 27 tree species using forest inventory data from over 90,000 plots across Europe. Our models estimate size-dependent climatic responses and evaluate their effects on two life trajectory metrics: lifespan and passage time - the time to grow to a large size. Then we predicted growth, survival, lifespan, and passage time at the hot and dry or cold and wet edges and compared them to their values at the species climatic centre to derive indices of demographic response at the edge. Using these indices, we investigated whether differences in species demographic response between hot and cold edges could be explained by their position along the climate gradient and functional traits related to their climate stress tolerance.</p> <p>3. We found that at cold and wet edges of European tree species, growth and passage time were constrained, whereas at their hot and dry edges, survival and lifespan were constrained. Demographic constraints at the edge were stronger for species occurring in extreme conditions, i.e. in hot edges of hot-distributed species and cold edges of cold-distributed species. Species leaf nitrogen content was strongly linked to their demographic responses at the edge. In contrast, we found only weak links with wood density, leaf size, and xylem vulnerability to embolism.</p> <p>4. Synthesis. Our study presents a more complicated picture than previously thought with demographic responses that differ between hot and cold edges. Predictions of climate change impacts should be refined to include edge and species characteristics.</p>
Gallery and spiny forest tree species inventory in Berenty Reserve, Madagascar
<p>Madagascar's unique dry forests, particularly gallery and spiny forests, face severe threats and are significantly understudied, leaving only a fraction of the original extent intact. Thus, there is a critical need for characterizing, conserving, and restoring this diverse forest ecosystem. Conducting extensive floristic surveys and environmental analyses, we investigated structural and compositional differences between the gallery and spiny forests, as well as within distinct gallery forest sites in Berenty Reserve in the south of the island. We also evaluated differences in habitat quality between the spiny and gallery forests for three species of diurnal lemurs in the reserve, and analyzed the current population trend of the tamarind trees, a species of ecological and cultural importance in Madagascar. Our findings revealed that the spiny and gallery forests differed in composition and structure, confirming the unique ecological characteristics of gallery forests and the underexplored richness of spiny forests. Spiny forests exhibited higher species richness despite a comparatively lower sampling effort, emphasizing the need for focused conservation efforts in these overlooked ecosystems. Tamarind populations, vital for lemur nutrition, showed signs of inadequate regeneration suggesting a recruitment bottleneck, possibly due to factors like a lowering water table, brown lemur foraging habits, or shifts in environmental conditions. Urgent interventions, including enrichment plantations, were recommended to ensure the survival of this keystone species. Contrasting botanical and lemur-centric perspectives revealed that while spiny and gallery forests differed botanically, they offered comparable habitat quality for ring-tailed and sifaka lemurs. However, brown lemurs exhibit a preference for the gallery forest, highlighting the intricate relationship between plant composition and lemur habitat choices. Our study underscores the urgency of expanding our knowledge of Madagascar´s dry forests, and Berenty Reserve, as one of the few remaining protected areas with gallery and dry forests, serves as a reference for future research in Madagascar's understudied ecosystems. </p>
Tree inventory data of P. menziesii var. menziesii (= viridis) (Schwerin) Franco in Pavari's Plot 412 ninty years after plantation.
<p>This dataset containing the historical series of dendrometric data of a Douglas fir (<em>P. menziesii var. menziesii (= viridis) (Schwerin) Franco)</em> plantation. Implemented in 1932, the plantation is located in place “Rio di Mercurella”, in the Tyrrhenian coastal mountain range in Calabria (Southern Italy). The experimental plot has been identified as Plot 412 and its Google Earth’s coordinates are 39°20'11.55"N e 16° 4'49.40"E. The forest stand is characterized by trees with a relevant role for forest community biodiversity.</p> <p>In 1940, the monitoring of this stand has been started. In this dataset, four of all inventories have been reported. Until 2013, these inventories have been carried out by Istituto Sperimentale di Selvicoltura and Unità di Ricerca per la Selvicoltura in Ambiente Mediterraneo, now incorporated in CREA Research centre of Forestry and Wood which has taken over the last two inventories.</p> <p>90 years after is plantations, in Plot 412 a total analysis has been performed. The following data have been collected: position, number, Diameter at breast height (DBH) of all trees, total height (Ht) of a sample of trees. All data have been elaborated to determine the mean dendrometric parameters as basal area (BA) and Volume (V). Volume of tree was calculated using the local volume table elaborated by Avolio in 1987 and it was integrated with measurements to model trees by Avolio e Bernardini in period 1988-1996.</p> <p>The data collected constitute a fundamental contribution to assess the health and stability of this forest stands. They represent an important historical source and evidence of first experimental test of the introduction of Douglas fir that must also be monitored in the future in Calabria.</p>
Tree inventory data of Pinus nigra J.F.Arnold subsp. calabrica (Poir.) Maire in southern Italy
<p>The dataset supplied in this article provides data from a stand of <em>Pinus nigra </em>J.F.Arnold<em> </em>subsp.<em> calabrica</em> (Poir.)<em> </em>Maire (Calabrian black pine) characterized by old trees, with a relevant role for forest community biodiversity. Natural stands of Calabrian black pine have both outstanding conservation and cultural values, to be taken under consideration in forest and land uses management and monitoring plans.</p> <p>A time series of dendrometric parameters is provided for 58 pine trees: the data were collected during three forest surveys (in 1976, 1986 and 2016). These data, in combination with other forest stand and environmental parameters, may effectively contribute to understand the dynamics of Calabrian black pine forests in southern Italy, thus how the natural and human disturbances have affected the structure and species composition of these forest ecosystems with high ecological value.</p>
Full inventory of ten permanent plots installed in pockets of different tree functional types along the Moni River transects (Yangambi, Democratic Republic of Congo)
<p>Most of the tropical forests of Central Africa are characterised by a remarkable abundance of light-demanding canopy species. A popular hypothesis is that these forests are still recovering from the intense slash-and-burn farming activities that ended abruptly in the 19th century with the arrival of the colonists. Today, it is assumed that the zones occupied by crop fields until the 19th century are covered by forests dominated by light-demanding species. However, this hypothesis of human disturbance has not yet been sufficiently tested using spatial distribution. So, using the 'Kernel Density Estimation' (KDE) tool in the SAGA GIS software, we mapped the density distribution of light-demanding species, subdivided into 3 tree functional types, along transects in the Moni river catchment. We also produced a similar map for a particular shade-tolerant species, 'Gilbertiodendron dewevrei'. The species were then divided into the following groups, known as 'functional tree types': LLP=Long-Lived Pioneer, NPLD=Non-Pioneer Light Demanding, SLP=Short-Lived Pioneer, and STS=Shade-Tolerant Species. At the end of this analysis, a density distribution map of the species of each tree functional type was produced. This map highlights the pockets (zones with a high density relative to the study site average) of tree functional types. For each type of pocket, we selected the pockets with a high density of trees of the group concerned and which were not on the edge between the forest and village crops or fallow land. This is how the location of the permanent plots was determined. Next, we installed a total of ten full forest inventory plots (1 ha each) inside and outside the pockets located by the KDE analysis along the Moni River transects. More specifically, we installed one plot in a pocket of short-lived pioneers (SLP-01), three plots in pockets of long-lived pioneers (LLP-01 to -03), two plots in pockets of NPLD (NPLD-01 and -02), two plots in pockets of the shade-tolerant species Gilbertiodendron dewevrei (GIL-01 and -02) and finally two plots were located in a mixed old-growth forest outside the pockets (MIX-01 and -02). These plots were established (1) for long-term monitoring of biodiversity and forest dynamics; and (2) to see if there is a difference in terms of species composition and abundance of light demanders between the forest inside the pockets and that outside the pockets.</p>
Repeated mapped tree inventory data in a tree plantation for pedunculate oak (Quercus robur) genetic conservation
<p>We performed replicated, repeated mapped tree inventory measures (x,y, height, diameter, vitality, etc.) to allow analysis of the spatial and temporal structure in 1 ha planted pedunculate oak (Quercus robur) stand established in 2003 to resemble the oak-hornnbeam forests for genetic conservation purposes in Po Valley (Foresta Carpaneta). Two inventories were carried out in 2009 and 2019. The use of replicated, repeated, and mapped tree measures allows the examination of true changes in spatial pattern processes through time in this forest type.</p>
Hyytiälä SMEAR II forest year 2020 thinning tree and carbon inventory data
<p>This dataset contains description of thinning, and forest and carbon stock inventory results of the forest stand surrounding SMEAR II research station located in Hyytiälä, Finland.</p> <p>The dataset consists of following files:</p> <p>1. Description of thinning and inventory methods (Hyytiala site description.pdf)</p> <p>2. Forest characteristics before and after the thinning, by measurement plot (Forest characteristics.xlsx)</p> <p>3. Carbon stocks before and after the thinning, as well as carbon stocks in commercial removal, by measurement plot (Carbon stocks.xlsx)</p> <p>4. Equations used for procuding estimates presented in products 2&3 (Equations.xlsx)</p> <p>5. Readme-file explaining details regarding variants in products 2&3 (Readme.xlsx)</p> <p>6. Plot map showing the locations of measurement plots (Plot map.xlsx)</p> <p>7. Tree size distribution before and after the thinning (Tree size distribution.xlsx)</p> <p>8. Cleaned tree-wise inventory data (Plot measurement data 2020.xlsx) from</p> <ul> <li> 2019 understorey measurement results</li> <li> 2020 measurement results</li> <li> Plot 1-24 detailed inventory measurement results</li> </ul>
Gallery and spiny forest tree species inventory in Berenty Reserve, Madagascar
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Repeated tree inventories of pine forests in South Florida's Big Cypress National Preserve
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Full inventory of ten permanent plots installed in pockets of different tree functional types along the Moni River transects (Yangambi, Democratic Republic of Congo)
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Forest inventory data from Finland and Sweden for: Demographic performance of European tree species at their hot and cold climatic edges, plus ancillary climate data
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Data from: Combining US and Canadian forest inventories to assess habitat suitability and migration potential of 25 tree species under climate change
Aim: To evaluate current and future dynamics of 25 tree species spanning USA and Canada. Location: USA and Canada Methods: We combine, for the first time, the species compositions from relative importance derived from the USA's Forest Inventory Analysis (FIA) with gridded estimates based on Canada's National Forest Inventory (NFI-kNN) ) based photo plot data to evaluate future habitats and colonization potentials for 25 tree species. Using 21 climatic variables under RCP 4.5 and RCP 8.5, we model climatic habitat suitability (HQ) within a consensus based multi-model ensemble regression approach. A migration model is used to assess colonization likelihoods (CL) for ~100 years and combined with HQ to evaluate the various combinations of HQ+CL outcomes for the 25 species. Results: At a continental scale, many species in the conterminous USA lose suitable climatic habitat (especially under RCP 8.5) while Canada and USA's Alaska gain climate habitat. For most species, even under optimistic migration rates, only a small portion of overall future suitable habitat is projected to be naturally colonized in ~ 100 years, although considerable variation exists among species. Main conclusions: For the species examined here, habitat losses were primarily experienced along southern range limits, while habitat gains were associated with northern range limits (especially under RCP 8.5). However, for many species, southern range limits are projected to remain relatively intact, albeit with reduced habitat quality. Our models predict that only a small portion of the climatic habitat generated by climate change will be colonized naturally by the end of the current century - even with optimistic tree migration rates. However, considerable variation among species points to the need for significant management efforts, including assisted migration, for economic or ecological reasons. Our work highlights the need to employ range-wide data, evaluate colonization potentials, and enhance cross-border collaborations.
Figure 2. Coalescent species trees with 13 in DNA barcoding and coalescent-based delimitation of endosymbiotic clevelandellid ciliates (Ciliophora: Clevelandellida): a shift to molecular taxonomy in the inventory of ciliate diversity in panesthiine cockroaches
Figure 2. Coalescent species trees with 13 (A) and 14 (B) assumed species based on 18S rRNA gene, ITS1-5.8S-ITS2 region and 28S rRNA gene sequences. Posterior probabilities of clades are provided along internal branches and posterior probabilities for the presence of individual species are provided behind the terminal branches. Scale bars denote the fraction of substitutions per site.
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Allen Brain Atlas
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Annotated Behaviour and Observability Dataset (ABODe)
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