This feature layer represents the official City of Marysville, Urban Forestry public dataset. It is intended for apps and maps shared for public access, as well as data downloads, exports, or consumption through external applications. This is a "live" representation of the Urban Forestry division's production tree inventory and work record system, but should not be relied upon as the source of truth for on the ground information. Data is updated as field arborists are performing work, changes in attributes are noticed, and on a 5-8 year cyclical basis.

The Forest Analysis and Inventory Branch (FAIB) is responsible for coordinating and managing data collection and analyses from a range of different ground sampling programs that collect data on ground plots. This layer shows ground plots from the PSP and VRI programs. Vegetation Resource Inventory (VRI): ground samples primarily used to audit and verify key inventory attributes estimated during photo interpretation. These samples are not protected because they will not be revisited. Permanent Sample Plots (PSP): subjectively located fixed-area permanent plots, valued for their long-term re-measurement data to support development of growth-and-yield models in unmanaged stands across a range of stand and ecosystem types. Actual GPS coordinates are provided as protection is necessary. - Active PSPs = plot and buffer are protected from harvesting - Inactive PSPs = not protected from harvesting

Arborist Software Market Outlook

The global arborist software market size is projected to experience substantial growth from 2023 to 2032, with the market valued at approximately $150 million in 2023 and is expected to reach around $350 million by 2032, growing at a compound annual growth rate (CAGR) of 10%. This remarkable expansion can be attributed to the increasing adoption of digital solutions in the arboriculture industry, which is driving efficiencies and improving operational outcomes. One of the primary growth factors is the need for efficient management of urban forestry resources, which is becoming increasingly critical as cities continue to expand and green spaces become more integrated into urban planning.

The demand for arborist software is further bolstered by the rising awareness and emphasis on sustainable environmental practices. Municipalities and arboriculture companies are increasingly focusing on maintaining and enhancing urban green spaces, trees, and forests, which necessitates sophisticated management tools. Arborist software provides solutions for tree inventory management, work order coordination, and customer relationship management, enabling organizations to handle complex operations with ease. The integration of technologies such as Geographic Information Systems (GIS) and Internet of Things (IoT) devices within arborist software platforms further enhances their utility, making them indispensable for precise tree health monitoring and management, thereby fueling market growth.

Another significant growth driver is the increasing investment in public infrastructure and the subsequent need to manage associated green spaces effectively. Governments across various regions are prioritizing the development of urban parks and recreational areas, driving the demand for efficient arborist software to manage these projects. Moreover, the rise in urban tree coverage initiatives, often backed by government funding and public-private partnerships, presents lucrative opportunities for market expansion. Efficient data collection and analysis capabilities offered by arborist software facilitate informed decision-making, allowing stakeholders to optimize tree planting, care, and maintenance strategies, thereby enhancing urban living conditions.

The proliferation of smart city initiatives worldwide is another pivotal factor contributing to the arborist software market's growth. As cities aim to become more sustainable and livable, the integration of smart technologies into urban planning is becoming increasingly prevalent. Arborist software plays a crucial role in these initiatives by providing comprehensive solutions for the management of urban forestry resources, contributing to better air quality, biodiversity, and urban aesthetics. The software's ability to provide predictive analytics for tree health and growth trends further aids in proactive management and planning, making it a key component of smart city infrastructure.

Regionally, North America is anticipated to dominate the arborist software market owing to the region's advanced technological infrastructure and the presence of key industry players. The United States, in particular, has seen a significant uptick in urban forestry initiatives, driven by increased environmental awareness and government support. Europe follows closely, with countries like Germany and the United Kingdom investing heavily in sustainable urban development projects. The Asia Pacific region is expected to witness the highest CAGR during the forecast period, fueled by rapid urbanization, expanding smart city projects, and growing environmental consciousness across countries such as China and India. Latin America and the Middle East & Africa, while currently smaller markets, are projected to experience notable growth as regional governments adopt more robust environmental policies and initiatives.

Deployment Type Analysis

When examining the arborist software market by deployment type, it's essential to consider the unique advantages and challenges presented by both cloud-based and on-premises software solutions. Cloud-based deployment is gaining significant traction within the arborist software market due to its inherent flexibility and scalability. These solutions allow users to access software applications and data from any location with an internet connection, making them ideal for organizations with dispersed teams or those that require real-time data access in the field. Additionally, cloud-based solutions often come with the benefit of lower upfront costs and reduced IT infrastructure requirements, as maintenance and updates are han

NOTE This dataset is going to be replaced by the Data Catalogue layer: Forest Inventory Ground Plots - Public Access This new layer links to the updated database for all Forest Analysis and Inventory Branch ground sample plots. Growth and Yield dataset is a provincial data set that comprised of Permanent Sample Plots (PSP). Researchers such as GY modellers and those wanting to know the position of all samples will use the all status view to better understand the spatial distribution of historic measurement data including samples that are currently destroyed or inactive

Data Source: Open Data DC and American Community Survey (ACS) 5-Year Estimates

Why This Matters

Urban green spaces provide an array of health benefits, including protection from extreme heat, reducing stress and anxiety, and offering a place to stay physically active.

Parks can serve as a social gathering space in neighborhoods, offering a location for residents to host events, play sports, and connect with their neighbors. This benefit can be particularly beneficial for elderly individuals as they are more likely to suffer from social isolation.

While the District is considered a national leader in park equity today, this has not always been the case. Until 1954, many DC parks and playgrounds were segregated, either prohibiting their use by Black residents or only allowing them to be used during certain hours.

The District Response

The District consistently ranks well nationally for park equity, receiving a higher Trust for Public Land ParkScore®rating than any other city for four consecutive years (2021-2024). Unlike most cities in the US, District residents have access to a similar amount of park space regardless of their neighborhood’s racial demographics.

The District Department of Transportation’s Urban Forestry Division is on track to reach a goal of tree canopy coverage for 40% of the District, promoting better air quality and cooling our neighborhoods. Residents can also request the planting of a new street tree near them.

The Department of Parks and Recreation and the Department of General Services are modernizing and renovating parks across the District to improve park services, safety, and utilization.

The study area is located within the municipality of Madrid, the capital and most populated city of Spain.

From October 2021 to September 2022, a survey of the feeding patterns of the common wood pigeon was conducted. To detect common wood pigeons eating both in the ground and trees, we walked transects in parks and streets (henceforth urban matrix) at least 5 times per season alternating morning/afternoon. In total, we walked 307 transects: 141 in parks and 166 in the urban matrix. In summer, late spring and early autumn, the census was conducted between the first 3 hours after the sunrise and the 3 last hours before sunset. During the coldest periods of the year, especially in winter when the days are shorter, the census was conducted from 10 AM -12 AM and 4 PM -6 PM. In parks and gardens, we covered the available pedestrian paths, avoiding passing through the same place on the same transect. In the urban matrix, we covered as many streets as possible in each transect, without passing through the same street twice, and avoiding those that had previously been discarded for lacking trees. We used binoculars to avoid misidentification with other birds and to be sure of the items consumed by the pigeons in each tree. We included only those observations in which the pigeons were seen feeding, being conservative in case we had doubts about what part of the tree they were eating. We excluded non-feeding events: drinking, sunbathing, resting, collecting nest material or moving among the branches without clearly perceiving any foraging behaviour.

We considered the urban matrix streets, avenues, small parks (less than 5 hectares) and public and private gardens integrated in the study area. ‘Parks’ refer to the historical green areas located within the city: Parque de El Retiro (114,19 hectares), Parque del Oeste (79 ha), Parque de la Dehesa de la Villa (64,17 ha), Real Jardín Botánico de Madrid (7,8 ha) and Quinta Fuente del Berro (7,42 ha); and other large green areas such as Campo del Moro and Parque de Atenas (which together form a continuum of 27,4 ha) and 6.5 kms of the urban section of the Manzanares river together with its adjacent parks, especially Parque Madrid Río (approx. 35 ha). Moreover, we classified the observations as ‘ground’, when the pigeons were observed feeding grass, elm samaras and other seeds or small stones on the ground, and ‘trees’ when we observed them feeding on branches of trees. When more than one individual common wood pigeon per tree was observed, we registered the abundance. We classified the trees as native or exotic according to Flora Ibérica. In case of uncertainty in the identification of the tree species, we consulted the inventory of trees published for each park (Directorate for Water Management and Green Zones of Madrid City Council 2023) and used mobile phone applications such as PlantNet and "Un alcorque, un árbol".

Flowering phenology (pollen calendar) of the main plant species used by the common wood pigeons in the city of Madrid was estiamted using data from Red Palinocam (https://www.comunidad.madrid/servicios/salud/aerobiologia-polen-esporas#red-palinocam).

_The link: * Access the data directory is available in the sectionDataset description sheets; Additional information. Ecoforest maps in PDF format are available at a scale of 1/20,000 and cover Quebec territory approximately up to the 52nd parallel. Each map covers an average area of approximately 250 km2 and presents forest information for the territory concerned. Its accuracy is approximately 10 meters. These maps are an image of the current ecoforest map for the corresponding year. _Maps 2021, 2022, 2023 and 2024 The maps 2021, 2022, 2023, as well as those of 2024 are produced from the up-to-date ecoforest map of the corresponding year. It represents the result of the photo-interpretation of aerial photographs taken during the 4th and 5th ecoforestry inventories of southern Quebec to which were added natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in the public forest following the year in which the picture was taken. According to the maps, data using the forest stand inventory approach (AIPF) is included when available for a complete sheet. Main components: type of vegetation (forest species group, density class, class of density, class of height, age class, etc.) or type of AIPF vegetation (detailed forest species, density (%), height (m), age class, etc.); slope class; class of slope; nature of the terrain (peatlands, height class, age class, etc.); topography (level curves); fragmentation. 2019 and 2020 maps The 2019 maps, as well as those of 2020, are produced from up-to-date ecoforest maps of the corresponding year. They represent the result of the photo-interpretation of aerial photographs taken during the 4th and 5th ecoforestry inventories of southern Quebec to which were added natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in the public forest following the year in which the photo-interpretation of aerial photographs from the 4th and 5th ecoforestry inventories of southern Quebec were taken. An update is then carried out taking into account natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (harvesting and reforestation) carried out in public forests. The information presented corresponds to the current ecoforest map of 2019 or 2020 as the case may be. On each of the maps, the name of the stands is expressed by the group of species. Main components: type of vegetation (forest species, density, height, height, age class, etc.); slope class; nature of the terrain (peatlands, gravel, etc.); hydrography (lakes, rivers, streams, streams, swamps, etc.); transport network and swamps, etc.); transport network and bridges; topography (level curves); fragmentation. Maps 2015 The 2015 maps are produced from the photo-interpretation of aerial photographs from the 3rd and 4th ecoforest inventories of southern Quebec. An update is then carried out taking into account natural disturbances (fires, epidemics, windfalls, etc.) and forest interventions (cutting and planting) carried out in public forests. The information presented corresponds to the 2015 updated ecoforest map. MAP FOR PRINTING (GEOREFERENCED)This third party metadata element was translated using an automated translation tool (Amazon Translate).*

The link: Access the data directory is available in the sectionDataset Description Sheets; Additional Information. The original ecoforest map and inventory results are a collection of ecoforest data including the original ecoforest map and numerous other tables that provide information directly related to forest stands. The information in this dataset corresponds to the portrait of the forest up to the year of aerial photography. These data cover five categories of information: + The original ecoforest map made up of ecoforest polygons. This is the geographic base to which all other data are attached; + Forest compilations, which contain, among other things, the gross commercial volumes evaluated by nature; + The ecological classification of Quebec territory; + Data on the characterization of forest stations and characteristics of wood; + Data on the characterization of forest stations and characteristics of wood; + Forest biomass and carbon. This map covers almost all of the territory south of the 52nd parallel of Quebec's public and private forest. It is distributed by map sheet at a scale of 1/250,000. The minimum mapping area is 4 ha. Notes: + All tables and entity classes in this data group can be linked using the “GEOCODE” field. + The geographic databases distributed in this directory do not include the information collected during the survey (sample plots). + Consult the Updated ecoforest map for an up-to-date portrait of forest territory, also available on Data Quebec. Former names: Original ecoforest map and inventory results Inventory result and original ecoforest map Integrated product of the ecoforest inventory of southern Quebec (IEQM)This third party metadata element was translated using an automated translation tool (Amazon Translate).

LiDAR (Light Detection And Ranging) is a modern survey method that produces three-dimensional spatial information in the form of a data point cloud. LiDAR is an active remote sensing system; it produces its own energy to acquire information, versus passive systems, like cameras, that only receive energy. LiDAR systems are made up of a scanner, which is a laser transmitter and receiver; a GNSS (GPS) receiver; and an inertial navigation system (INS). These instruments are mounted to an aircraft. The laser scanner transmits near-infrared light to the ground. The light reflects off the ground and returns to the scanner. The scanner measures the time interval and intensity of the reflected signals. This information is integrated with the positional information provided by the GNSS and INS to create a three-dimensional point cloud representing the surface. A LiDAR system can record millions of points per second, resulting in high spatial resolution, which allows for differentiation of many fine terrain features. Point clouds collected with LiDAR can be used to create three-dimensional representations of the Earth’s surface, such as Digital Elevation Models (DEMs) and Digital Surface Models (DSMs). DEMs model the elevation of the ground without objects on the surface, and DSMs model ground elevations as well as surface objects such as trees and buildings. LidarBC's Open LiDAR Data Portal (see link under Resources) is an initiative to provide open public access to LiDAR and associated datasets collected by the Government of British Columbia. The data in the portal is released as Open Data under the Open Government Licence – British Columbia (OGL-BC). Four Government of British Columbia business areas and one department of the Government of Canada make LiDAR data available through the portal: * GeoBC * Emergency Management and Climate Readiness (EMCR) * BC Timber Sales (BCTS) * Forest Analysis and Inventory Branch (FAIB) * Natural Resources Canada (NRCan) GeoBC is the provincial branch that oversees and manages LidarBC’s Open LiDAR Data Portal, including storage, distribution, maintenance, and updates. Please direct questions to LiDAR@gov.bc.ca.

The link: * Access the data directory is available in the sectionDataset description sheets; Additional information. The Harvest and other silvicultural interventions mapping is produced as part of the ecoforest inventory of southern Quebec in order to maintain an up-to-date portrait of the forest. Several stakeholders related to forest operations participate in maintaining this forest portrait, including the Regional Operations Sector of the Ministry of Natural Resources and Forests (MRNF), private forest development agencies and major landowners. This map contains information on forest interventions carried out on the territory (e.g. harvesting, thinning, reforestation) as well as the year of the work. The period of work begins at the beginning of the 20th century (when information is available) to the present day. The associated information is presented as a series of overlays of interventions. This map covers the commercial territory of public forests and private forests in Quebec. The minimum mapping area is 0.1 ha. Note: When there is more than one intervention on the same territory during the same year, priority is given to the one that changes the forest cover in a sustainable manner (e.g. planting). To have access to all the interventions for the same year (in public forests only), please consult the technical and financial activity reports (RATF) distributed by the Ministry's Regional Operations Sector on the government website of Data Québec.This third party metadata element was translated using an automated translation tool (Amazon Translate).*

The link: Access the data directory is available in the sectionDataset Description Sheets; Additional Information. The mapping of insect epidemics, windfalls (trees knocked down by the wind) and ice is produced as part of the ecoforestry inventory of southern Quebec in order to maintain an up-to-date portrait of the forest. It covers the commercial territory of public and private forests in Quebec. The minimum mapping area is 0.1 ha. This portrait is useful, among other things, for evaluating the intensity and extent of damage associated with insects, windfalls and ice. In each case, the mapping represents the loss of forest cover in the form of disturbances ranging from severe (over 75% of dead trees) to slight disturbances (from 25 to 75% of dead trees). The disturbances in this map date back to the beginning of the century (when information is available) to the present day. They are the result of collaboration between the Directorate of Forest Protection and the Directorate of Forest Inventories. The outlines come from forest inventories (first and second decennial inventories) and ecoforestry inventories (third and fourth decennial inventories). Mortality is dated using defoliation layers from the Directorate for Forest Protection. For the epidemic of TBE (spruce budworm), mortality is considered to occur after a succession of five years or more of severe or moderate defoliation. In the case of the surveyor, a single year is enough to decimate a forest stand. The other elements in the layer are dated using LANDSAT imagery, sample plots, and archival documents.This third party metadata element was translated using an automated translation tool (Amazon Translate).

The link: Access the data directory is available in the sectionDataset Description Sheets; Additional Information. The updated ecoforest map (formerly “with disturbances”) is the result of the interpretation of aerial photographs and control points in the field as part of the ecoforest inventory of southern Quebec. This mapping presents the various forest and ecological characteristics of the forest territory and corresponds to the portrait of the forest up to the year in which the aerial photograph was taken (mapping cycle of about 10 years). Next, the outlines and nature of recent disturbances (forest interventions, fires and other disturbances) are then integrated annually. The fifth mapping cycle has been under way since 2015. This map covers almost all of the territory south of the 52nd parallel of Quebec's public and private forest. It is distributed by map sheet at a scale of 1/250,000. The minimum mapping area is 4 ha for stands and 0.1 ha for disturbances. Note 1: The disturbance maps used to update the updated ecoforest map are also distributed separately on Data Quebec. Here is the list of these maps: + Forest fires + Harvesting and other silvicultural interventions + Epidemics, windfalls and ice storms + Forest infrastructures () Note 2: Disturbances are prioritized according to the nature of the layer and respect for the chronology of events. Only the last original or partial disturbance is kept in the updated ecoforest map. You should refer to the annual update layers, listed in Note 1, to have access to the full history of disturbances.This third party metadata element was translated using an automated translation tool (Amazon Translate).