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JoVE 과학 교육 Environmental Science
Using GIS to Investigate Urban Forestry
  • 00:00개요
  • 02:09Principles of Urban Forestry and GIS
  • 04:54Tree Location, Size, and Condition Data Collection
  • 06:04Entering Data into GIS
  • 08:43The National Tree Benefits Calculator
  • 09:32Applications
  • 10:29Summary

利用地理信息系统探讨城市林业

English

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개요

资料来源: 玛格丽特工人和金伯利弗莱-Depaul 大学实验室

城市森林大致包括城市公园、 行道树、 园景的林荫大道、 公共花园、 河和沿海长廊、 绿道、 河流廊道、 湿地、 自然保护区、 自然保护区、 防护林的树木和工业棕地地盘工作树。城市树木的历史始于树木作为景观点缀。今天,市区的树木被视为城市基础设施和关键到人类生活的重要组成部分,作为食物、 住房和其他公用事业。城市树木是现在,由于生态系统服务价值他们提供 (例如,防止侵蚀、 空气污染物去除、 氧气、 灯罩等)。然而,要有效地利用这些好处,树木必须达到成熟,叶片数和大小直接影响到一棵树能够提供生态系统服务。城市林业不得不制定自己的林业方法处理的需求和独特的城市树木与林地同行的挑战。

以下摘自美国农业部森林服务说明城市树视角和联邦政府的政策:

城市森林是动态的生态系统提供所需的环境服务的清洁空气和水,有助于控制风暴水,节约能源。他们添加形式、 结构、 美容和喘息的空间,对城市设计,减少噪音、 分离不相容的用途、 提供地方重建,加强社会的凝聚力,利用社区振兴和添加到我们的社区的经济价值…这个自然的生命支持系统维持清洁的空气和水、 生物多样性、 生境、 嵌套和旅游走廊为野生动物,并连接到自然的人。

城市树木的管理是一种跨学科的做法,涉及建筑、 园林、 规划、 开发、 园艺等。一特定学科参与林业的是地理位置,特别是通过利用地理信息系统 (GIS)。地理信息系统是数据库的一个广泛的名称,包括任何类型,其中包含可以用来创建计算机生成可视表示形式 (例如,映射) 的地理或空间数据。地理信息系统可广泛的数据收集和管理通过不断改进的用户界面,增加用户友好的非常大的集可以由多个用户访问的信息的质量。地理信息系统应用范围从自由软件和开放存取协议,例如,谷歌地球,到像 ESRI ArcGIS 的专有系统。使用地理信息系统来创建和存储地理信息还允许为方便数据的维护,因为地图可以通过向数据库中添加新的信息和再生的视觉输出进行快速更新。

Principles

Procedure

1.数据收集与 GPS 接收机和胸径磁带 在开放的室外位置,开启 GPS 接收机通过按电源按钮。虽然接收器连接到最小的三颗卫星等待 2-3 分钟。 步行到数据收集的调查区域。一次调查一个城市块段和数字数据工作表 (图 1) 上, 大路树重置在每个块段的开始编号。 在调查中的每一棵树,记录物种,邮政地址 (例如,1253 W.莉儿) 和测地坐标 (经度/纬度) 提?…

Results

Figure 1 shows the representative results for street trees found on one block, and a map from urban forestry data entered into GIS can be seen in Figure 4.

The results for using the Tree Benefit Calculator can be found in Table 2. This calculator provides an estimation of the benefits individual street-side trees provide. Once the data from the field investigation is inputted, including zip code, species, diameter, and land-use, the environmental and economic benefit provided by each tree can be seen.

Figure 3
Figure 4. Maps from urban forestry data entered into GIS.

Tree Sample Number Overall Benefit Storm Water Management
(gallons)
Property Value Energy Efficiency
(kW/hr)
Carbon Sequestration
(lbs)
1 $20 173 $4 38 109
2 $24 217 $8 41 133
3 $22 161 $11 27 113
4 $11 69 $2 22 74
5 $46 356 $22 56 169

Table 2. The Tree Benefit Calculator results.

Applications and Summary

Once entered into a GIS, forestry data can be analyzed using geospatial statistics. For example, a Moran’s I geospatial statistical test is a widely used statistic that analyzes for significant geographical clustering of health variables. Moran’s I can be used for forestry data to report dbh values localized to particular areas, indicating different tree growth rates in different locations of the forest. If clustering is significant, a General G geospatial statistical test can additionally reveal whether it is the high or low values that are geographically clustered by reporting which end of the clustering values are concentrated in a geographical area (Figure 5). Significant Moran's I clusters are shown with the General G scores, indicating high dbh values clustered for the good trees and for each species. dbh values are represented by proportionally-sized symbols to illustrate the clustering of high values (large circles) and low values (small diamonds) (Figure 6). Features can be paired in maps to look for meaningful patterns, such as dbh and species, to identify which species tend to grow to maturity more successfully in an urban environment. Clusters of high dbh values indicate older trees that may present near future needs for tree removal or a higher risk area for tree damage caused by storms. High dbh clusters may also indicate areas where trees survive longer and regions of a city receiving higher ecosystem service benefits.

Figure 4
Figure 5. Clusters of dbh sizes for good trees on a map.

Figure 5
Figure 6. High dbh clusters identified on a map.

내레이션 대본

Urban forests are valuable resources, and require care and management to ensure their health. The distribution of trees, their condition, and the scale and shape of urban forests can be mapped using GIS, or Geographical Information System, software.

Trees in urban areas may range from simple street trees to landscaped boulevards, greenways, public gardens, or those at industrial brownfield sites. Combined, these urban forests are essential components of city infrastructure. Urban forestry uses novel methods to address the needs and challenges unique to urban trees.

Urban forests fill valuable environmental niches, acting to clean air and water, control storm waters, prevent erosion, reduce noise, and conserve energy. Additionally, urban forests can provide important habitats for animals, provide shelter for nesting, or act as travel corridors for wildlife. Their value can also be social, connecting urban inhabitants to nature, enhancing architecture, and providing educational opportunities to learn about nature.

The structure, diversity, and resultant ecological value of urban forests can be quantified using GIS, or Geographical Information Systems, software. GIS allows for extensive data collection and management, which is an ideal framework for compiling urban forestry data. GIS allows users to combine geographical and tree-survey data to produce accurate maps of urban forests.

This video will illustrate the process of collecting tree survey data, incorporating this data into a GIS platform, and evaluating the environmental value of trees of interest.

Urban forest surveys may be conducted at a variety of locations. Commonly, parkway trees planted between sidewalks and curbs are recorded. Data is typically collected by city block, and records tree location, species, health, land use, and diameter at breast height, or DBH.

Tree condition is a visual assessment based on six categories. These are trunk condition, which takes into account factors including missing bark or decay; growth rate, examining twig elongation and length of current year’s growth; and structure, taking note of dead or broken limbs. Insects and disease are noted; crown development, which assesses trees for a balanced appearance of branches, leaves, and reproductive structures; and finally life expectancy, based on the life expectancy for the species, minus the damage present.

Each category carries a rating system, based on the amount of unhealthy tree features summed together, which combined give an overall condition score for a tree. This can be attributed to a categorical tree health measurement ranging from excellent down through very good, good, fair, poor, to very poor.

A GPS receiver, which uses satellite positioning transmitted to the handset allows the user to record geodesic coordinates of latitude and longitude. Location is also noted by postal address. Once collected, data can be entered into a GIS software program, which allows spatial and geospatial statistical analysis of trees and tree characteristics. There are several such programs available, including ArcGIS or Google Earth.

The National Tree Benefits Calculator is a free online software tool that is used to provide an economic estimation of the monetary benefits provided by urban and suburban trees. Here, users can select their survey region, and choose from a list of trees in that area. Inputting a few simple details including tree trunk diameter and land-use type, will give an estimation of the value of the tree in several key areas, including property value, air quality, and storm water control.

Now that we are familiar with the concept of urban forestry surveys and the principles behind them, let’s take a look at how these are carried out in the field.

To begin the survey, select a suitable outdoor location and turn on the GPS receiver. Wait for it to connect to satellites and detect the location. Proceed to the start of the survey area selected for data collection. Survey one city block segment at a time. At each tree encountered, record the species using this collection’s video on Tree Identification. Also record the longitude and latitude provided by the GPS receiver, and postal address.

Next, measure the diameter of each tree at 4.5 ft above the ground, which is taken as the diameter at breast height, or DBH. Assign each tree a number, resetting the numbering at the start of each block segment.

Observe the condition of each tree by visually estimating and scoring according to the criteria presented in the table shown. Sum the points to obtain an overall score for each tree, and assign each a corresponding health category.

Two programs that can be used to compile GIS data are Google Earth or ArcGIS. Using these programs, trees can be place-marked individually or their coordinates complied into a single file and uploaded.

To use the Google Earth GIS program, type in the tree coordinates and select new placemark, using the “Add Placemark” feature. Name each tree by species name, and once all tree data points are saved as placemarks, right click on the “My Places” label, select “Save As”, then save to any location.

To use the ArcGIS program, when importing data endure all column headings are free of spaces. Underscores can be used instead. If the coordinates are in latitude and longitude format, they should be converted to decimal degrees format before import into ArcGIS.

Save the data as a comma-delimited CSV file. Next, create a layer by adding the CSV file to ArcMap using the Add Data tool, either under File: Add Data, or by clicking the “Add Data” tool on the standard toolbar.

Right-click on the new layer and choose “Display XY Data”. Ensure that the X, or longitude, and Y, or latitude, fields were selected correctly by ArcMap.

Next, click “Edit”, then “Select” to highlight the coordinate system for the points, then “Add”, and “OK”. The correct coordinate system to use can be obtained from the GPS unit itself.

There should now be a point layer at the top of the Table of Contents with the same name as the CSV file, and the word “Events” at the end of the name. This is an “event theme”, and is a temporary layer. To make a permanent copy, right-click on the layer and choose “Data” then “Export Data”. Pick an output location and enter a file name. Change the name from the default “Export Output” to “Urban_Forestry_Survey” and click “OK”.

Data entered into the ArcGIS program will produce a map of urban forestry data. These maps can be used in a number of ways, including identifying patterns of DBH sizes, or determining if trees in a particular area are not reaching life expectancy.

Open up the iTree for Education software tool. For each tree, input the relevant data, and record the environmental benefits for each tree. Estimated benefits of urban trees can be calculated and assigned monetary values. This includes a tree’s annual benefits for storm water management, property value, energy efficiency, and carbon sequestration.

The results from analysis with the National Tree Benefit Calculator can give a summary of the economic and environmental value of the trees surveyed. This can allow urban planners to decide upon any tree removals, or supplementary plantings that may benefit the area surveyed.

Urban Forestry maps can be used in a variety of applications, and some of these are explored here.

In urban residential or suburban areas, urban forestry will often have different requirements from trees than those in commercial or retail areas. Trees may be protected or selected for planting based on similar ecological properties such as wind or noise barriers, or water management concerns. However, aesthetic value may play a greater part in residential forestry.

Geographical Information Systems can also be used to map many other phenomena, natural or manmade. GIS maps of natural measurements of lead levels in soil can also be compiled and used to determine contamination levels, or safe versus unsafe regions for planting of food crops.

You’ve just watched JoVE’s introduction to Urban Forestry using GIS. You should now understand the importance of urban forestry, how to use GIS to create maps for the study of urban trees, and how to use the National Tree Benefit Calculator to ascertain the value of surveyed trees. Thanks for watching!

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Cite This
JoVE Science Education Database. JoVE Science Education. Using GIS to Investigate Urban Forestry. JoVE, Cambridge, MA, (2023).