Back

Degradation of visible autumn icons and conservation opportunities: trends in deciduous forest loss in the contiguous US

Dreiss, L. M.; Malcom, J. W.

2021-03-29 ecology
10.1101/2021.03.29.437570 bioRxiv
Show abstract

Temperate deciduous forests are one of the most visible biomes on Earth because of their autumn aesthetics and because they harbor some of the most heavily populated regions. Their ability to attract visitors may increase opportunities for people to experience nature, which has been linked to greater conservation action. Identifying regions with high leaf-peeping opportunities and regions where color has been lost to landscape conversion may help to inform these connections. We use spatial overlay analyses to quantify temperate deciduous forest coverage, disturbance, and protections in each U.S. ecoregion. We evaluated recent (1984-2016) and predicted (2016-2050) disturbance under extreme future scenarios. Almost all ecoregions saw a decline in deciduous forest cover between 1985 and 2016. Some ecoregions with the greatest opportunities for leaf-peeping are also underrepresented in the protected areas network and vulnerable to additional losses. Under economic-growth forecasting scenarios, losses are predicted to continue. However, environmentally focused scenarios suggest there is still opportunity to reverse deciduous forest loss in some ecoregions. Differences in forest loss between predictions scenarios emphasize the importance of human approaches in securing environmental stability. Increasing public exposure to temperate forests may help ensure conservation of more natural areas and preserve the quantity and quality of autumn forest viewing. Key PointsO_LITemperate deciduous forests aesthetics attract visitors to experience nature, but degradation and loss can hinder connections. C_LIO_LIUS ecoregions with the greatest leaf-peeping opportunities are underrepresented in the protected areas and vulnerable to additional losses. C_LIO_LIDifferences in predictions scenarios emphasize the importance of conservation action, which may be linked to human connections with nature. C_LI

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Conservation Letters
11 papers in training set
Top 0.1%
14.2%
2
Conservation Science and Practice
13 papers in training set
Top 0.1%
13.9%
3
Biological Conservation
43 papers in training set
Top 0.1%
8.1%
4
Environmental Research Letters
15 papers in training set
Top 0.1%
6.6%
5
PLOS ONE
4510 papers in training set
Top 26%
6.6%
6
Global Ecology and Conservation
25 papers in training set
Top 0.2%
6.2%
50% of probability mass above
7
Conservation Biology
14 papers in training set
Top 0.1%
3.5%
8
Journal of Environmental Management
11 papers in training set
Top 0.2%
3.5%
9
Frontiers in Ecology and Evolution
60 papers in training set
Top 1%
3.0%
10
Ecological Applications
28 papers in training set
Top 0.2%
2.3%
11
Ecology and Evolution
232 papers in training set
Top 2%
1.7%
12
PLANTS, PEOPLE, PLANET
21 papers in training set
Top 0.3%
1.7%
13
Biodiversity and Conservation
11 papers in training set
Top 0.1%
1.7%
14
Animal Conservation
11 papers in training set
Top 0.2%
1.6%
15
Forest Ecology and Management
25 papers in training set
Top 0.3%
1.6%
16
Journal of Applied Ecology
35 papers in training set
Top 0.4%
1.6%
17
Remote Sensing in Ecology and Conservation
10 papers in training set
Top 0.2%
1.6%
18
Communications Earth & Environment
14 papers in training set
Top 0.5%
1.4%
19
Ecological Indicators
20 papers in training set
Top 0.3%
1.4%
20
GeoHealth
10 papers in training set
Top 0.4%
1.3%
21
Landscape Ecology
12 papers in training set
Top 0.2%
1.3%
22
Diversity and Distributions
26 papers in training set
Top 0.3%
1.3%
23
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 37%
1.3%
24
FACETS
11 papers in training set
Top 0.1%
1.3%
25
Science of The Total Environment
179 papers in training set
Top 4%
0.9%
26
Scientific Reports
3102 papers in training set
Top 74%
0.8%
27
Ecography
50 papers in training set
Top 1%
0.7%
28
PeerJ
261 papers in training set
Top 16%
0.7%
29
Ecosphere
53 papers in training set
Top 0.8%
0.6%