Back

Changing variability is an overlooked aspect of protected area planning

Marcus, R.; Noonan, M. J.

2023-10-29 ecology
10.1101/2023.10.26.564062 bioRxiv
Show abstract

Protected areas are widely used management tools designed to support the long-term conservation of biodiversity. The effectiveness of protected areas is being challenged by human-induced climate change, however, which is causing three broad shifts away from the current distribution of climate trends: a change in mean conditions, a change in the variance around the mean, and/or a change in symmetry. Though changes in average conditions are certainly important, the second behaviour, a change in variance, brings a unique set of challenges that species must respond to. As conditions become more variable, phenological events become less predictable, extreme weather events become more frequent, food security and ecosystem stability are compromised, and extinction risk increases. It therefore stands to reason that changes in the variance of local conditions should be a core consideration when designing protected areas. Here, we reviewed the literature to determine the extent to which changes in variance are being incorporated into protected area planning. Worryingly, we found that fewer than a quarter of the 100 studies we surveyed formally considered how climate change might change mean conditions, and only four considered climate change-induced changes in the variance around the mean. Our evaluation reveals an alarming gap in protected area research. The majority of researchers continue to make recommendations for protected areas without acknowledging that the area(s) they are recommending for protection may have markedly different conditions in the future. Whether variability is considered or not, stochastic events represent a serious threat to the persistence of species and complex ecosystems. Effective conservation requires actively considering how the stability of conditions within protected areas will be impacted by future climate change. As global climate patterns tend towards increasing unpredictability, protecting less variable habitat should be a priority to ensure local populations are not exposed to elevated extinction risk.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Conservation Letters
11 papers in training set
Top 0.1%
14.0%
2
Conservation Science and Practice
13 papers in training set
Top 0.1%
14.0%
3
Conservation Biology
14 papers in training set
Top 0.1%
8.9%
4
Biological Conservation
43 papers in training set
Top 0.1%
8.2%
5
Global Change Biology
69 papers in training set
Top 0.2%
7.0%
50% of probability mass above
6
PLOS ONE
4510 papers in training set
Top 33%
4.7%
7
Ecography
50 papers in training set
Top 0.3%
3.9%
8
Ecology and Evolution
232 papers in training set
Top 1%
3.5%
9
Biodiversity and Conservation
11 papers in training set
Top 0.1%
3.5%
10
Animal Conservation
11 papers in training set
Top 0.1%
2.5%
11
Frontiers in Ecology and Evolution
60 papers in training set
Top 1%
2.5%
12
PeerJ
261 papers in training set
Top 4%
2.3%
13
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 3%
1.8%
14
Diversity and Distributions
26 papers in training set
Top 0.1%
1.8%
15
Environmental Research Letters
15 papers in training set
Top 0.3%
1.8%
16
Scientific Data
174 papers in training set
Top 1%
1.7%
17
Royal Society Open Science
193 papers in training set
Top 3%
1.2%
18
Scientific Reports
3102 papers in training set
Top 70%
0.9%
19
Global Ecology and Conservation
25 papers in training set
Top 1.0%
0.9%
20
Ecological Indicators
20 papers in training set
Top 0.5%
0.9%
21
Philosophical Transactions of the Royal Society B: Biological Sciences
53 papers in training set
Top 1.0%
0.9%
22
PLOS Biology
408 papers in training set
Top 19%
0.8%
23
Ecological Informatics
29 papers in training set
Top 0.7%
0.8%
24
Science of The Total Environment
179 papers in training set
Top 5%
0.7%
25
Ecosphere
53 papers in training set
Top 0.7%
0.7%
26
eLife
5422 papers in training set
Top 60%
0.7%