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Archive for June, 2017

While working on the Appalachian Trail, I realized that many of the campsites used year in and year out by Thru-hikers are growing in size and degree of impact. Yet, many of the organizations tasked with monitoring campsites keep records in paper form and have no tangible concept of the way impacts are adding up.

In the video above, I used ArcMap to enter in a hypothetical centerpoint for a campsite. I then compile polygons, representing monitoring trips. Ideally, this data would be collected in such a way as to contain monitoring metrics in the attribute table, so the symbology can be classified by the severity of impact.

The video shows how one campsite grows over time. Typically, however, campsites don’t exist in isolation. This technique can be expanded to show multiple campsites bleeding into each other.

The area data can be compiled in either excel or R, and used as an input to a linear regression analysis. This can be used to project, that if impacts continue at the current rate, they would result in campsites over ever increasing size, until you wind up with giant camping areas.

By finding trouble spots on the trail and analyzing them over a five year period, enough data can be compiled to extrapolate useful modelling, which can help inform better management decisions.

Currently management decisions are being made without data to show whether they are working or not. Anecdotally, the impacts appear to get worse every year. Management and monitoring need to go hand in hand. When a decision is made, the impacts of that decision need to be monitored and that data needs to inform future decisions. Otherwise, we cannot be said to be making rational decisions.

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In order to successfully conserve land, you must first understand what you are trying to conserve and why. Land Trusts typically spell out, in their mission statements, what their goals are. It is often better to be narrow, in this regard, than to try and “drink from a firehose.” There are, after all, many lands out there that need to be conserved, and not enough resources to conserve them. On the organizational level, this fact is most magnified.

 

In order to be successful, conservation organizations must be thoughtful about each step of the process. For instance, what grants should be applied for, will they build capacities for the organization’s mission or stretch the organization thin with new requirements. It is rare that a grant will cover an entire program. Often there is thee requirement that the organization receiving the money match it with a certain amount of their own fund-raising capacity. Grants come with requirements, so organizations do better to find grants with requirements they can easily meet, without building new capacities.

 

This is why it is important to define, as specifically as possible, what a conservation organization wishes to conserve. Many Land Trusts conserve land as wildlands, and others conserve agricultural land. It is more difficult to try and do both well. Many organizations that conserve wildlands, conserve forests, riparian zones, different types of wetlands, etc. Even in this regard, a degree of specificity is important. When trying to decide whether a particular tract is work putting resources into conserving, it helps to use Overlays. If any organization decides to preserve forested land, it can favor forested lands that are near other protected lands, in order to expand the conserved landscape. It may choose the favor those near riparian zones or wetlands. It may choose the favor those with endangered species habitat or certain soil types. All of these aspects can be represented spatially, and GIS can be used to better construct an effective overlay.

 

It is important to identify a geographic region of importance. In this case, I have identified South Whitehall Township as an important area, because of its low percentage of total lands being conserved. (An organization can choose to value areas with a high level of conserved land instead). Since I have chosen South Whitehall, all the other layers will be clipped to focus on just South Whitehall.

 

Overlay Map2

Percent of Land Conserved

 

Lets say an organizations wish to favor forested properties, near protected lands, riparian zones and wetlands, with a presence of endangered species. One can make a model, taking land use layers, protected lands layers, riparian and wetlands layers and endangered species habitat layers. Each of these can be used to create a buffer (how close to the object should the protected land be). Again, this is derived by deciding how much certain layers should be valued. After making buffers, these can be merged into a single layer and joined to a tax parcel map. The join will maintain the geometry of the conservation layers, and tell you which properties are intersected by the conservation buffers, and thus a high priority for conservation. The output, in the example of South Whitehall Township, near Allentown, Pennsylvania, would look like this:

Overlay Map

The Green shows properties of potentially high conservation value.

 

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