Optimising nature conservation outcomes for a given region-wide level of food production
Data files
Feb 06, 2020 version files 258.67 KB
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current.csv
136.44 KB
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dy_pars.csv
44.07 KB
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fenwg_fens.csv
289 B
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optimal_strategy_script.R
23.81 KB
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spared.csv
324 B
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traits.csv
47.45 KB
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wd_sali.csv
2.80 KB
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wg_fens.csv
3.49 KB
Abstract
- The land sharing-sparing framework aims to quantify the trade-off between food production and biodiversity conservation, but it has been criticised for offering, for reasons of simplicity, an unrealistically limited set of different land uses.
- Here, we develop the framework to evaluate a much larger suite of land-use strategies in which the areas and yields of three land-use compartments, natural habitat, high-yield farmland, and lower-yield farmland, are varied simultaneously. For two regions of England, we use functions that relate the local population density of breeding bird species to farm yield to simulate species-specific region-wide population sizes under each strategy.
- We find that geometric mean population size, averaged across all species, is maximised when farmland yields are higher than the current average yield, and when spared land combines both natural habitat and low-yield farmland. This conclusion is relatively insensitive to the maximum yield considered feasible under extreme land sparing, and holds across a range of region-wide food production targets.
- To some extent, our conclusion depends on which species groups were included in the assessment. Considered alone, farmland birds preferred a strategy with little or no natural habitat. Nonetheless, the optimal strategy was broadly consistent across all widely-recognised listings of species of conservation concern.
- Synthesis and applications. Our study looks at landscapes with a long history of agricultural use, and which have little remaining natural habitat, such as those found in lowland England. In these landscapes, conservation outcomes are likely to be maximised by mixed strategies in which high-yield production enables an increase in area of both natural habitat and low-yield farmland elsewhere in the region.
Usage notes
We have provided annotated R script (optimal_strategy_script.R) along with 7 input files.
This code creates scenarios and calculates geometric mean population size, allowing all figures (1-5) to be reproduced.
Input file 1: current.csv
Current (2015) properties of each 1-km square in each region
gridref Unique identifier for each 1-km square
nca National Character Area (either The Fens or Salisbury Plain)
habitat Either farmed, or wet grassland or fen in The Fens or chalk grassland or woodland in Salisbury Plain
unbuilt Proportion of square which is not urban or suburban |
currency Yield currency (energy) yield Yield of unbuilt land (GJ per ha) production Production from all land (yield * unbuilt)
|
Input file 2: spared.csv
Average properties of spared land
habitat wet grassland or fen in The Fens or chalk grassland or woodland in Salisbury Plain
currency Yield currency (energy)
unbuilt Total area which is not urban or suburban
yield Average yield (GJ per ha)
production Average production (yield)
nca National Character Area (either The Fens or Salisbury Plain)
Input file 3: dy_pars.csv
Density-yield parameters
currency Yield currency (energy)
spp 2-letter species code
english Species name
max.density Maximum observed density
mean.density Mean observed density
max.yield Maximum yield across survey sites
upwards TRUE if density-yield curve trends upwards at max.yield, otherwise FALSE
mod A if 3-parameter model, B if 4-parameter model
b0 Density-yield parameter (see equations 1 and 2 in Finch et al. (2019) DOI: 10.1111/cobi.13316)
b1 Density-yield parameter (see equations 1 and 2 in Finch et al. (2019) DOI: 10.1111/cobi.13316)
b2 Density-yield parameter (see equations 1 and 2 in Finch et al. (2019) DOI: 10.1111/cobi.13316)
alpha Density-yield parameter (see equations 1 and 2 in Finch et al. (2019) DOI: 10.1111/cobi.13316)
top Top model (A or B)
nca National Character Area (either The Fens or Salisbury Plain)
Input file 4: traits.csv
Species traits (each species appears in multiple rows, according to group identity)
spp 2-letter species code
english Species name
nca National Character Area (either The Fens or Salisbury Plain)
group Group - see main text.
Input file 5: wg_fens.csv
Density in wet grassland (for The Fens only)
spp 2-letter species code
english Species name
habitat wet grassland
density Average density
Input file 6: wd_sali.csv
Density in woodland (for Salisbury Plain only)
spp 2-letter species code
english Species name
habitat woodland
density Average density
Input file 7: fenwg_fens.csv
Additional natural habitat specialists (for The Fens only)
spp 2-letter species code
english Species name
habitat fen or wet grassland
density Relative density 1 (present) or 0 (absent)