Evidence map›Paper›PMID 40017623›Full record

ArticleForest policy and economics2025

Valuation of Forested River Riparian Buffers: Support for Riverine Integrity and Climate Resilience.

Mallory Phillips, Kevin Boyle, Kristen Swedberg

Abstract read
In one paragraph

Article in Forest policy and economics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Mallory PhillipsDepartment of Agricultural and Resource Economics, Virginia Tech.
Kevin BoyleBlackwood Department of Real Estate, Virginia Tech.
Kristen SwedbergU.S. Environmental Protection Agency, Oak Ridge Institute for Science and Education.

Funding

Intramural EPA EPA999999
6 · The paper itself

Abstract

This study investigates the connection between river riparian buffers and property values. The buffers protect the integrity of aquatic ecosystems and support resilience to rising temperatures and severe storms due to climate change. A hedonic study using 18,782 property sales was conducted to estimate the value of riverfront land and forested riparian buffers along the New and Watauga Rivers in North Carolina. Property owners place a significant value on river frontage and the associated amenities - 30% of a riverfront property value is attributable to the river frontage, about $133,653 of a mean property value of $445,510. Owners of river-front properties value forested riparian buffers but there is a catch, they do not want all the riparian buffer on their land forested. Property sale prices increase as the percentage of the riparian buffer that is forested increases and prices are maximized at 40% tree cover. At 40% tree cover, 37% property sale prices are attributable to riparian tree cover. However, with 100% tree cover property values are reduced by about $175,000 relative to an average priced property with no riparian tree cover. The results can help government agencies and NGOs interested in riverine ecosystem resilience in the face of development and climate change to motivate revegetation of riparian buffers with limited tree cover; it is in the financial, and esthetic, interest of landowners to increase the forested portion of their riparian buffer. If extensive tree cover is desired, say greater than 50% forested, landowner education and revegetation cost-sharing programs are unlikely to provide sufficient incentives to garner landowner participation and more sophisticated programing is required.

Indexed as

climate warmingforest coverhedonic modelrevealed preferenceriparian bufferssevere storm eventsspatial correlation

Identifiers

PMID40017623
PMCPMC11864280

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.