Introduction
Consideration | Recommended strategy | Summary of evidence | |||
---|---|---|---|---|---|
Goal | Multiple spp. |
Heterogeneity
| |||
Bigger
| |||||
More sites
| |||||
More connected
| |||||
Single sp. | Habitat preference | Interior |
Bigger
| Less edge; higher area: edge ratio (Bender et al. 1998) | |
Edge |
Homogeneity
| Availability for colonization (Thomas et al. 2012) | |||
More sites
| Edge effects (Bender et al. 1998) | ||||
More connected
| |||||
Specialist |
Homogeneity
| ||||
Bigger
| |||||
More connected
| |||||
Generalist |
Heterogeneity
| ||||
More sites
| Occur in matrix, occupy smaller isolated patches (Dennis et al. 2013) | ||||
Less connected
| |||||
Habitat requirements | Migratory |
Heterogeneity
| Buffers variation in resources through time (Benton et al. 2003) | ||
More sites
| Move between sites to meet habitat requirements (Bender et al. 1998) | ||||
More connected
| |||||
Range size | Large |
Bigger
| |||
More connected
| |||||
Small |
Heterogeneity
| More vulnerable to environmental change, buffers these effects (Oliver et al. 2010) | |||
More sites
| Smaller sites are sufficient for range requirements (Abele and Connor 1979) | ||||
Body size | Large |
Bigger
| |||
Small |
More sites
| ||||
Dispersal capability | High |
More sites
| Capacity to move between sites (Nicol and Possingham 2010) | ||
Less connected
| Links would have limited worth (Bennett 2003) | ||||
Intermediate |
Bigger
| Lower mortality rate associated with less emigration and failure to locate site (Thomas 2000) | |||
More connected
| |||||
Very poor/sedentary |
Homogeneity
| Require good quality habitat (Ye et al. 2013) | |||
Bigger
| |||||
More connected
| Assist with dispersal, providing within dispersal range (Doerr et al. 2011) | ||||
Dispersal mode | Animal-borne |
More connected
| Assists with animal movement (Brudvig et al. 2009) | ||
Wind-borne |
More sites
| More edge to reach non-target habitat (Brudvig et al. 2009) | |||
Less connectivity
| Unaffected by direct connectivity (Brudvig et al. 2009) | ||||
Population viability | High |
More sites
| Metapopulation persistence (higher turnover of local extinction and recolonization) (Drechsler and Wissel 1998) | ||
More connected
| Metapopulation persistence (Drechsler and Wissel 1998) | ||||
Low |
Homogeneity
| ||||
Bigger
| Greater population carrying capacity (Griffen and Drake 2008) | ||||
Landscape attributesa
| Fragmented |
Heterogeneity
| Less vulnerable to climate change and extreme events in fragmented landscapes (Opdam and Wascher 2004) | ||
More sites
| Species will be more adapted to live in fragments (Schnell et al. 2013) | ||||
More connected
| |||||
Continuous |
Bigger
| Species are poorly adapted to live in small fragments (Schnell et al. 2013) | |||
Climate variability (risk of disease/environmental disturbance) and vulnerability to climate changea
| High variability + low vulnerability |
Heterogeneity
| |||
More sites
| |||||
Less connected
| |||||
Low variability + high vulnerability |
Homogeneity
| ||||
Bigger
| |||||
More sites
| |||||
More connected
| |||||
Low variability + low vulnerability |
Homogeneity
| Strong patch quality-occupancy relationship in static habitat (Hodgson et al. 2009b) | |||
More connected
| Strong connectivity-occupancy relationship in static habitat (Hodgson et al. 2009b) | ||||
Economics and ownershipa
| Limited funds |
Homogeneity
| Protect currently intact environments, restoring habitat is financially expensive and time consuming (Possingham et al. 2015) | ||
Bigger
| |||||
More connected
| |||||
Surrounding land ownership |
More sites
| ||||
More connected
| Discourage species use of neighboring habitat (Hartter and Southworth 2009) | ||||
No surrounding land ownership |
Bigger
| Encourage protection of more space for nature (Dover and Settele 2009) |
Quality in a changing world
Homogeneity or heterogeneity?
Space for nature
Bigger or more?
Exploiting connectivity
Interplay between approaches
Moving forward
Decision-making framework
Alongside threats from habitat change, climate change and invasive species, one of the greatest threats to global biodiversity is the need to balance the increasing demand for food security with conservation (Green et al. 2005; Donald and Evans 2006; Fischer et al. 2008; Edwards et al. 2010; Balmford et al. 2012). Land sparing involves the preservation of natural areas for wildlife, segregated from a smaller area of land for intensive agriculture, while land sharing, or wildlife-friendly farming, involves the spatial co-occurrence of agriculture and conservation (Phalan et al. 2011; Tscharntke et al. 2012; Grau et al. 2013). Land sharing has been encouraged, particularly in Europe, with the support of agri-environment payments through the Common Agricultural Policy and various other certification schemes worldwide. These include the Conservation Reserve Program in the USA (Green et al. 2005; Kleijn et al. 2011; Hulme et al. 2013) and the Australian Landcare Program (Kleijn et al. 2011); aiming to cover the net losses that occur from avoiding more intensive farming methods (Lawton et al. 2010), and provide support to those farmers who opt to make environmental improvements to their land (Donald and Evans 2006) |
The land share, land spare debate epitomises the difficult choices faced in landscape-scale conservation planning: on one hand, a high quality (relatively homogenous) but smaller area of spared land for wildlife; on the other, lower quality but larger areas of heterogeneous habitat shared with farming (Green et al. 2005; Fischer et al. 2008; Adams 2012; Balmford et al. 2012). As with the trade-offs associated with reserve design, both approaches have strengths and weaknesses (Edwards et al. 2010). Land sharing can enhance and restore connectivity by creating softer barriers to dispersal between areas of more natural habitat (Donald and Evans 2006; Fischer et al. 2008; Heller and Zavaleta 2009; Dover and Settele 2009). Sharing also encourages the creation of new wildlife sites (Donald and Evans 2006; Dover and Settele 2009; Lawton et al. 2010) although more land, potentially previously intact, must be cultivated to balance the fact that overall yield is low (Green et al. 2005; Balmford et al. 2012; Hulme et al. 2013; Chandler et al. 2013). Nevertheless, this may mean that more land is protected in some way (Balmford et al. 2012). In contrast, land sparing can boost species populations (e.g. Phalan et al. 2011), particularly those of greatest conservation concern (Hulme et al. 2013), and thus assist with climate change adaptation through abundant source populations. It can also increase overall species richness (Edwards et al. 2010; Chandler et al. 2013) due to more native habitat (Hulme et al. 2013) and because many wild species cannot survive in even the most wildlife friendly farmland (Tscharntke et al. 2012). However, some species are specifically adapted to agricultural landscapes (Benton et al. 2003), particularly in landscapes with a long-history of disturbance (Donaldson et al. 2016). Land sparing usually produces higher yields (Grau et al. 2013), potentially reducing deforestation rates since there is less pressure to log other areas to meet demand (see Green et al. 2005) and more recently reported to save on greenhouse gas emissions as a result of less land conversion to meet demand for agriculture (Balmford et al. 2012) |
Amongst the confounding benefits discussed extensively in the literature, our decision making framework can be used to demonstrate how theory associated with reserve design can help provide solution to this intensive debate (Table 2). The homogeneous quality associated with spared land provides benefits to specialist species, boosts populations of species vulnerable to climate warming, and provides smaller sites suitable for stationary animals with small range sizes. Providing more, smaller sites can also enhance the capacity for range shift across the landscape in response to climatic change. Meanwhile, land sharing generally enhances connectivity between sites, offering benefits to migratory species and those with low dispersal capabilities and/or large range sizes, but equally may spread the risk of extinction from correlated weather events and disease. Providing the landscape remains relatively fragmented with respect to these risks, the heterogeneity associated with land sharing can help buffer the effects of variable environmental disturbances. Land sharing is also an appealing option in areas where wildlife and low intensity forms of agriculture have coexisted for long periods of time, such as parts of Europe (Fischer et al. 2008; Hodgson et al. 2010), where species are tolerant to disturbance from such activities (Grau et al. 2013). Conversely, in areas with high potential agricultural activity that do not coincide with those of high biodiversity value, it is possible to zonate land and opt for a land sparing approach (Hodgson et al. 2010). However, with environmental change, crop suitability may also shift (Bradley et al. 2012) leading people to encroach on spared land. In this sense, suitable areas for people to farm with climate change could be equally as important as providing suitable areas for species’ ranges to shift, or alternatively opt for a land sharing approach where both have the potential to move. Finally, this challenge highlights the importance of practical considerations (Table 2), with site ownership, planning and governance being amongst the most fundamental factors leading to the most appropriate option available |
Factor | Land sparea
| Land shareb
| Justification | Reference(s) | ||
---|---|---|---|---|---|---|
Species traits | Habitat preference | Specialist | ✓ | Land sparing provides higher quality, natural habitat suitable for specialists, whilst generalists can exist in lower quality habitats | ||
Generalist | ✓ | |||||
Habitat requirements | Migratory | ✓ | Some species require a variety of habitats (heterogeneity), continuity (connectivity) and/or large areas to complete life cycle | |||
Stationary | ✓ | |||||
Human disturbance | Sensitive | ✓ | Land sparing involves less disturbance to wildlife since area is spared for them | |||
Tolerant | ✓ | |||||
Range size | Small | ✓ | Land sparing involves a smaller area of high quality land designated for wildlife, while land sharing settles for a lower quality but much larger area of land for wildlife | |||
Large | ✓ | |||||
Dispersal capability | High | ✓ | Land sharing enhances connectivity through soft barriers to dispersal between areas of natural habitat | |||
Low | ✓ | |||||
Population viability | High | ✓ | Land sparing can boost species populations | e.g. Phalan et al. (2011) | ||
Low | ✓ | |||||
Threats | Climatic change | High vulnerability, low variability | ✓ | Higher quality spared land can provide source populations for climate adaptation and assist with capacity for range shift | Phalan et al. (2011) | |
High variability, low vulnerability | ✓ | Sharing is associated with a heterogeneous landscape, thus buffers environmental disturbances (providing landscape remains relatively fragmented to spread extinction risk) | Fischer et al. (2008) | |||
Practical | Ownership | Multiple | ✓ | Land sparing is not possible with multiple owners | Adams (2012) | |
Single | ✓ | |||||
Planning | Strong | ✓ | Land sparing requires a strong and effective planning approach to be successful and not detrimental to wildlife. | Adams (2012) | ||
Weak | ✓ | |||||
Governance | Strong | ✓ | Land sparing is difficult to implement in countries with weak governance, requires strict policy mechanisms to be effective and ensure areas farmed are restricted | |||
Weak | ✓ |