Back

Only 40% of the world's forests are in good health

Grantham, H. S.; Duncan, A.; Evans, T. D.; Jones, K. R.; Beyer, H.; Schuster, R.; Walston, J.; Ray, J.; Robinson, J.; Callow, M.; Clements, T.; Costa, H.; DeGemmis, A.; Elsen, P. R.; Ervin, J.; Franco, P.; Goldman, E.; Goetz, S.; Hansen, A.; Hofsvang, E.; Jantz, P.; Jupiter, S.; Kang, A.; Langhammer, P.; Laurance, W. F.; Liberman, S.; Linkie, M.; Malhi, Y.; Maxwell, S. L.; Mendez, M.; Mittermeier, R.; Murray, N.; Possingham, H.; Radachowsky, J.; Samper, C.; Silverman, J.; Shapiro, A.; Strassburg, B.; Stevens, T.; Stokes, E.; Taylor, R.; Tear, T.; Tizard, R.; Venter, O.; Visconti, P.; Wang, S.;

2020-03-06 ecology
10.1101/2020.03.05.978858 bioRxiv
Show abstract

Many global environmental agendas, including halting biodiversity loss, reversing land degradation, and limiting climate change, depend upon retaining forests with high ecological integrity, yet the scale and degree of forest modification remains poorly quantified and mapped. By integrating data on observed and inferred human pressures and an index of lost connectivity, we generate the first globally-consistent, continuous index of forest condition as determined by degree of anthropogenic modification. Globally, only 17.4 million km2 of forest (40.5%) have high landscape level integrity (mostly found in Canada, Russia, the Amazon, Central Africa and New Guinea) and only 27% of this area is found in nationally-designated protected areas. Of the forest in protected areas, only 56% has high landscape level integrity. Ambitious policies that prioritize the retention of forest integrity, especially in the most intact areas, are now urgently needed alongside current efforts aimed at halting deforestation and restoring the integrity of forests globally.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Nature Communications
○ 5641 papers in training set
Top 2%
35.4%
Similar papers in this journal
2
Communications Earth & Environment
○ 14 papers in training set
Top 0.1%
7.7%
Similar papers in this journal
3
Global Change Biology
○ 78 papers in training set
Top 0.3%
7.1%
Similar papers in this journal
50% of probability mass above
4
Conservation Biology
○ 17 papers in training set
Top 0.1%
6.1%
Similar papers in this journal
5
Scientific Reports
○ 3612 papers in training set
Top 16%
5.4%
Similar papers in this journal
6
Global Ecology and Biogeography
○ 47 papers in training set
Top 0.2%
4.7%
7
Proceedings of the National Academy of Sciences
● 2444 papers in training set
Top 15%
3.4%
8
Communications Biology
○ 993 papers in training set
Top 6%
3.2%
9
Nature Ecology & Evolution
131 papers in training set
Top 0.8%
3.1%
10
Science Advances
● 1243 papers in training set
Top 17%
2.1%
11
eLife
● 5828 papers in training set
Top 46%
2.1%
12
Scientific Data
○ 209 papers in training set
Top 1%
1.9%
13
Conservation Letters
○ 14 papers in training set
Top 0.2%
1.5%
14
Science of The Total Environment
○ 186 papers in training set
Top 3%
1.1%
15
Environmental Research Letters
○ 14 papers in training set
Top 0.2%
1.1%
16
PLOS ONE
● 5266 papers in training set
Top 57%
1.0%
17
Current Biology
○ 665 papers in training set
Top 9%
1.0%
18
Science
● 477 papers in training set
Top 9%
0.8%
19
Ecography
○ 54 papers in training set
Top 1%
0.6%
20
Nature
○ 645 papers in training set
Top 12%
0.6%
21
Biological Conservation
○ 46 papers in training set
Top 1.0%
0.6%
22
Proceedings of the Royal Society B: Biological Sciences
● 393 papers in training set
Top 7%
0.6%
23
PNAS Nexus
◐ 159 papers in training set
Top 5%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.