Succession-Legacy Effects, Path Dependence
Ecological studies are often limited for practical reasons to single time snapshots or very short periods (Callahan 1984). However, the history of land-use in and surrounding UA is an undeniably important aspect of its ecology (Lane 2015, Crumley 2018, Isendahl 2018. Isendahl et al. 2018). The extensive use of impervious surface (e.g. concrete, asphalt) in urban areas is hypothesized to have strong, perhaps long-term effects on the space, form and functioning of UA (Rudd et al. 2002, Goddard et al. 2010, Martellozzo et al. 2014). Many urban soils are compacted, and contain contaminants dangerous to human health (De Kimpe and Morel 2000, Li et al. 2001). Brownfields represent a particularly extreme example of contaminated urban soils. These are sites that have a history of poor management practices leading to environmental contamination, which require significant remediation before usable as a city resource for human habitation or food production if converted to UA (Groffman and Tiedje 1988. Reddy Krishna R. et al. 1999, Browm and Jameton 2000, Pouyat et al. 2010, 2015). The study of brownfield sites can therefore be particularly useful for understanding legacy effects in urban soils more generally. Understanding how urban soils and their associated communities change over time and whether they can be managed to create safe, productive agricultural products are questions directly related to the concept of ecological succession.
Ecological succession considers the change in species composition of a community over time. First used by Cowles to describe the changes in vegetation structure and communities he observed along transects running inland from the shores of Lake Michigan, the concept of succession has since been used to explore the role of deterministic and stochastic processes in shaping communities (Cowles 1899, Clements 1916, Gleason 1926, Tansley 1935). Current research on ecological succession stresses the importance of stochasticity in conjunction with legacy effects, which can create a path dependence in the community structures that develop (Connell and Slatyer 1977, Bazzaz 1996). This means that the structure of a community is dependent on past processes including for example, the order of colonization events or how soils developed in the area (Fukami 2015). This notion is particularly relevant for UA where the history of urbanization is integral to its form (Isendahl 2018). However, few studies have explicitly looked at succession in UA systems to date (Table 12.1).
There is a rich literature on urban soils and the communities of microorganisms that inhabit them, though these studies are not typically conducted in UA (Craul 1999. De Kimpe and Morel 2000). Studies involving bio-remediation, the use of microorganisms to clean up contaminated sites, are highly relevant to UA but rarely discussed in conjunction with food production (Adhikari et al. 2004, Malik 2004. Irani et al. 2011). This is unfortunate since many UA sites occupy abandoned land (Taylor and Lovell 2012, Gardiner et al. 2014). The danger to public health in UA is widely acknowledged, yet some growers may not test soils before cultivation, or testing may not continue long-term (Brown and Jameton 2000,
Summary of Urban Agriculture Natural Science Methodologies
Target Taxon or Abiotic Factor |
Sampling Method |
Types of Questions |
Pros |
Cons |
Special Considerations |
Alternatives |
References |
Invertebrates General |
Sweep netting |
Abundance and diversity |
Efficient method for sampling across taxonomic groups; can be non-lethal |
Often destructive to vegetation;not selective in type of invertebrate collected |
Vollhardt et al. 20081 |
||
Targeted visual survey |
Abundance and diversity |
Low impact; good for quantifying abundance of uncommon species or species not attracted to traps |
Only feasible for relatively large, obvious species (e.g. lady beetles, caterpillars, ants); high potential for observer bias |
Edwards 2016 |
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Sticky traps |
Abundance and diversity |
Low effort; efficient for sampling range of flying arthropods ; especially useful for sampling adult parasitoids |
Lethal; difficult to identify specimens to high taxonomic resolution; traps may be disturbed by garden/ farm users |
Egerer et al. 2018b; Lowenstein & Minor 2018 |
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Herbivores |
Sentinel plants |
Abundance and diversity; impacts of herbivory |
Effective way to assess herbivory pressure while controlling for plant quality |
Plants may require care |
Requires permission to place plants in garden/farm; |
Egerer et al. 2018a |
|
Predators and Parasitoids |
Sentinel pests |
Abundance and diversity; biological control |
Most accurate way to quantify predation pressure |
must rear or buy pest species; requires placing food plant as well; requires permission |
Lowenstein et al. 2017; Philpott & Bichier 2017 |
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Ants (Formicidae) |
Tuna baits |
Diversity; competitive relationships |
Low effort / Allows for non-lethal sampling / Easily adapted to small spaces |
Baits may attract unwanted organisms or may be viewed as undesirable by gardeners/ farmers; sampling biased towards certain species |
Edwards 2016; Uno et al. 2010 |
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Pitfall traps |
Diversity and activity level |
Samples broad taxonomic and functional group range |
Traps may be disturbed by garden/farm users; requires disturbing soil |
Edwards 2016 |
Mini-Winklers |
Abundance and diversity |
Samples broad taxonomic and functional group range |
High effort; involves collecting soil and/or litter |
Savage et al. 2015* |
|||
Tanglefoot exclusion |
Effectiveness of biocontrol |
Can clearly demonstrate effect of ants on pests |
Sticky substance may be mildly annoying to garden/ farm users |
Reimer et al 1993т; Morris et al. 2015+; |
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Pollinators (Hymenoptera, Diptera, Lepidoptera) |
Pan/bowl traps |
Abundance and diversity; diet and pollination potential (from pollen collected from bodies) |
Low effort / Samples species often missed in netting |
Lethal / Traps may be disturbed by garden/farm users; standard protocol requires access to large area |
Matteson et al. 2008; Quistberg et al. 2016; Glaum et al. 2017 |
||
Aerial netting |
Abundance and diversity; diet and pollination potential (from capture location and/or pollen) |
Complements pan/bowl traps; can be non-lethal; can catch flying bees; adaptable to any space |
Can damage vegetation; biased towards larger-bodied bees |
Ziplock bag 'net’ |
Quistberg et al. 2016 |
||
Ziplock bag 'net' |
Abundance and diversity; diet and pollination potential (from capture location and/or pollen) |
Complements pan/bowl traps; can be non-lethal; not destructive of plants; adaptable to any space |
Generally biased towards large-bodied bees ; can only catch bees when landed |
Aerial netting |
Fitch et al. 2019 |
||
Sentinel plants |
Pollination effectiveness; pollinator foraging behavior; competitive interactions |
Allows estimation of pollinator visitation to particular species |
Time intensive; only feasible for small number of plant species |
Requires permission to place plants in garden/farm |
Fitch 2017; Lowenstein et al. 2014 |
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Sentinel colonies |
Pollinator diet; pollinator population dynamics; pollinator pathogen and parasite prevalence |
Allows researcher to address a range of questions that are otherwise difficult to answer |
Relatively expensive and difficult to maintain |
Williams et al. 201 2t; Vaidya et al. 2018 |
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Trap nests |
Abundance and diversity of trap-nesting bees; population dynamics; diet; pathogen and parasite prevalence |
Allows researcher to address a range of questions that are otherwise difficult to answer |
Often low rate of colonization |
Maclvor et al. 2014; Maclvor and Packer 2015; |
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Soil invertebrates |
Pitfall traps [see under Ants (Formicidae)] |
Gardiner et al. 2014; Burkman & Gardiner 2015 |
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Mini-Winklers [see under Ants (Formicidae)l |
(Continued)
Target Taxon or Abiotic Factor |
Sampling Method |
Types of Questions |
Pros |
Cons |
Special Considerations |
Alternatives |
References |
Baermann funnels |
Abundance and diversity |
Useful for sampling nematodes |
High effort; requires removing soil from site |
Sliarma et al. 2015 |
|||
Sentinel pests [see under Predators and Parasitoids] |
Yadav et al. 2012 |
||||||
Vertebrates General |
Mesh exclosures / fencing |
Effectiveness of vertebrate biocontrol; vertebrate herbivore effects |
Can clearly demonstrate effect of particular guilds of organisms |
High effort; often requires large amount of space and may interfere with use; may be disturbed by garden/farm users |
Karp et al. 20l3t |
||
Birds |
Point counts |
Abundance and diversity |
Well-established protocol facilitates comparison across studies |
Time-intensive; sensitive to researcher bias |
Ability to identify birds by sight and sound needed |
Rottenborn 1999*; Paker et al. 2014* |
|
Mist-netting |
Abundance and diversity; diet (from excrement); nutritional status and health; population genetics |
Not sensitive to researcher bias; allows for collection of tissue samples |
Requires expensive materials and training; highly obvious and potentially disruptive to other use of sites |
Requires special permits |
Evans et al. 2009*; Hamer et al. 2012* |
||
Mammals |
Live-trapping (Sherman and/or Longworth traps) |
Abundance and diversity; diet (from excrement); nutritional status and health; population genetics |
Requires special permits |
Munshi-South and Kharchenko 20 Ю*; Wilson et al. 2016* |
|||
Camera traps |
Abundance and diversity |
Allows assessment of occurence/abundance of uncommon and secretive species |
Equipment expensive and likely to be tampered with |
Widdows et al. 2015*; Gallo et al. 2019* |
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Plants General |
Transect surveys |
Abundance and diversity; spatial arrangement |
Quadrat surveys |
||||
Quadrat surveys |
Abundance and diversity; spatial arrangement |
Transect surveys |
Ahrne et al. 2009; |
||||
Crop yield |
Sentinel plants |
Yield of particular crop type; response to treatment |
High degree of control by researcher |
Limited to a small number of plants and species |
Potter & LeBuhn 2015; Bennett & Lovell 2019 |
Gardencr/user data |
Larger-scale yield data for one to many crops |
Direct estimate of plot- or site-scale yield |
Difficult to assess accuracy of data; requires training of and coordination with site users |
||||
Microbes |
Soil microbe DNA extraction |
Microbial diversity |
Allows for characterization of soil microbial community |
Sample processing can be costly |
Yan et al. 2016* Wang et al. 2017* |
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Abiotic factors Climate and temperature |
Data logger |
Site-level temperature, humidity, insolation |
Low-effort; fine-scale data |
Can be expensive; data can be lost if loggers are tampered with or removed |
Publically- available weather station data |
Glaum et al. 2017 |
|
Publically- available weather station data |
Local temperature, humidity, precipitation |
Low effort; free |
Resolution poorer than data logger, esp. for sites in close proximity |
Data logger |
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Soil characteristics |
Soil physical analysis |
Soil texture; soil aggregate structure; soil moisture content |
Beniston et al. 2016; Pennisi et al. 2016 |
||||
Soil chemical analysis |
Soil nutrient content (e.g. C. N, P); soil heavy metal content; soil pH |
Accurate, precise estimates of soil properties; many labs will accept samples for processing |
Requires specialized equipment or ability to pay for sample processing |
Beniston et al. 2016; Harada et al. 2019 |
|||
Litterbags |
Decomposition rates; role of soil biota in decomposition; nutrient fluxes |
Relatively low effort; may not require expensive equipment |
Requires leaving litterbags for an extended time |
Pavao- Zuckerman & Coleman 2005*; Tresch et al. 2019 |
|||
Ion-exchange resin bags |
Leaching rates for nutrients and heavy metals |
Accurate estimates of leaching rates |
Requires leaving resin bags for an extended time; requires some processing |
Harada et al. 2018a; Harada et al. 2019 |
|||
Atmosphere characteristics |
Atmospheric particulate collectors |
Deposition rates for atmospheric particulate matter (e.g. heavy metals) |
Accurate estimates of deposition rates |
Requires leaving (often large) collectors for an extended time; requires some processing |
Harada et al. 2018a; Harada et al. 2019 |
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Vegetation biochemistry |
Vegetation biochemical analysis |
Nutrient content of crop plants; heavy metal content of crop plants |
Accurate estimates of nutrient and/or contaminant concentrations in crops |
Requires specialized equipment or ability to pay for sample processing |
Harada et al. 2018a; Pennisi et al. 2016 |
Study conducted in urban area but not UA.
' Study conducted in agricultural area but not UA.
De Kimpe and Morel 2000. Minca et al. 2013. Beniston et al. 2016). Ecological study of succession in UA could pull techniques from these fields to study the change in soil communities over time and still more, the potentially irreversible effects of past land-use choices on these communities (Huang et al. 1998, Fukami 2015, Ong and Vandermeer 2018, Vandermeer and Perfecto 2019). The idea of historical legacy is tied to the physical concept of hysteresis, where the path forwards is different from the path back (Mayergoyz 2012). All cities were built on top of some natural ecosystem at some point in history, and that land-use history is likely to have a strong deterministic effect on agricultural productivity (Bellemare et al. 2002). UA is unique however, in the extensive translocation of soils (Craul 1992). Many gardens are built from scratch, transporting organic material from a variety of distance sources including bogs, city composting facilities or other farming operations (Beniston and Lai 2012, Beniston et al. 2016). This process is expected to have important effects on the communities that assimilate in UA yet extracting the effects of soil and land-use histories on community composition requires more than observations of above and below ground biodiversity. Observational studies need to be combined with more experiments and theory in order to tease apart mechanisms of community assembly and its impact on ecosystem services in UA.
One potential avenue for exploring these questions utilizes UA’s use of both perennial and annual systems and techniques (Bernholt et al. 2009, Lin et al. 2017). UA can be managed to include both perennial (multi-season) and annual (single season) plants, though some sites or plots in allotment-style gardens may specialize on one or the other, depending on the use and extent of mechanical tilling at the site. Perennial sites or plots offer opportunities to study long-term impacts of UA on ecological processes especially when compared to annual sites or plots. Annual sites and plots are tilled every season to aerate soils and minimize weeds whereas perennial sites and plots refrain from disturbing soils. Mechanical tilling has dramatic effects on soil communities in rural agriculture systems, though the effects on UA are less well known (Giller et al. 1997, Hoflich et al. 1999). Perennial crops are woody, which commonly include fruit trees and bushes, while annual crops are herbaceous, presenting potential confounding issues for comparative studies. However, some perennial crops, including many herbs, are managed as annual crops and could be used to tease apart effects of soil disturbance on above and below ground community composition.