Getting lost in the matrix? On how the characteristics and arrangement of linear landscape elements influence ecological connectivity

Linear landscape elements (LLEs) such as ditches and hedgerows can increase the ecological connectivity of habitat embedded within agricultural areas by acting as corridors for animal movement. However, we lack knowledge on how the spatial arrangement of LLEs influence dispersal, impeding our ability to offer robust advice on how best to add new LLEs to improve connectivity. To examine how the width and spatial orientations of LLEs composing an intersecting network might influence connectivity across landscapes. We used an individual-based dispersal model to simulate the stochastic movement of small organisms through stylised LLEs of different characteristics. Landscapes were composed of two habitat patches separated by a grid-like network of LLEs composed of two types: (1) connecting-edges (touching patches on either end) and (2) transecting-edges (running perpendicular to connecting-edges). By altering numbers and widths of each LLE type we sought to understand the effect of these variables on inter-patch dispersal rates. Increasing the number or width of connecting-edges improved connectivity but, conversely, increasing numbers or widths of transecting-edges reduced it. The greater freedom of movement offered by increasing numbers of transecting-edges may have inhibited connectivity, as individuals with limited perceptual-range were more likely to become trapped in complex networks and thus fail to navigate to suitable habitat patches. Orientation of LLEs with respect to landscape resources greatly affects their impact on connectivity. The addition of LLEs to landscapes may decrease their connectivity for small, flightless species if they do not directly channel dispersers toward landscape resources.


Introduction
As socio-economic development often involves extensive modification of landscape structures to meet human needs, conservation efforts must often contend with the negative impacts of habitat destruction and

Abstract
Context Linear landscape elements (LLEs) such as ditches and hedgerows can increase the ecological connectivity of habitat embedded within agricultural areas by acting as corridors for animal movement. However, we lack knowledge on how the spatial arrangement of LLEs influence dispersal, impeding our ability to offer robust advice on how best to add new LLEs to improve connectivity. Objectives To examine how the width and spatial orientations of LLEs composing an intersecting network might influence connectivity across landscapes. Methods We used an individual-based dispersal model to simulate the stochastic movement of small organisms through stylised LLEs of different characteristics. Landscapes were composed of two habitat patches separated by a grid-like network of LLEs composed of two types: (1) connecting-edges Supplementary Information The online version contains supplementary material available at https:// doi. org/ 10. 1007/ s10980-022-01501-0. fragmentation (Baldock 1990;Scanes 2018). One of the ways in which habitat loss negatively affects biodiversity and increases the extinction probability of remaining species is by reducing the overall carrying capacity of a landscape, as smaller populations are generally more vulnerable to the potentially negative impacts of demographic and environmental stochasticity (Lande 1993;Fahrig 1997;Newman and Pilson 1997;Ovaskainen and Meerson 2010). In a similar fashion, the fragmented distribution of remaining habitat may further endanger the viability of surviving populations by reducing them to even smaller sub-populations associated with the remnant habitat patches (Fahrig 2003). Informed by the theoretical framework of meta-population dynamics, it has been suggested that effective conservation of a population distributed across patchy habitat may be pursued by improving the connectivity of their landscape (Taylor et al. 1993), thereby mitigating local extinction risks by permitting greater dispersal and hence demographic and genetic exchange between habitat fragments (Brown and Kodric-Brown 1977;Hansson 1991;Fahrig and Merriam 1994;Hanski and Ovaskainen 2000). Increasing connectivity might be achieved by the maintenance, improvement or creation of landscape elements that more readily permit long movements through the matrix, perhaps by providing less dangerous and/or energetically taxing routes of travel relative to the wider landscape, and thereby act as corridors through which individuals are more likely to successfully traverse hostile matrix (Tischendorf and Wissel 1997).
Linear landscape elements (LLEs), such as hedgerows or ditches, are a common feature of developed agricultural landscapes and are often created primarily to serve socio-economic purposes, such as demarcating the boundaries of adjacent fields or controlling the hydrology of low-lying areas. As these LLEs can contain diverse vegetation profiles, often a signature of the landscape's historical habitat (Forman and Gordon 1981;, they may provide a more sheltered and hospitable environment for dispersing species than the exposed and highly disturbed arable, pastoral or urban elements of the wider matrix and thus be relatively permeable to the movement of small animals along their lengths (Merckx et al. 2010;Graham et al. 2018). LLEs such as fencerows, treelines and ditches have been documented to promote the connectivity of agricultural landscapes for a variety of small mammal and insect taxa (Fahrig and Merriam 1985;Henderson et al. 1985;Mech and Hallett 2001;Van Geert et al. 2010;Schulp et al. 2014). However, LLEs can fall short of providing adequate resources in which populations can maintain sustainable growth to the degree achieved in patches; for example, the diversity of arthropod taxa within LLEs, such as uncultivated field boundaries, declines with increasing distance from nearby source populations in remnant habitat patches (Ökinger and Smith 2007;Jauker et al. 2009;Krewenka et al. 2011;Ekroos et al. 2013;Villemey et al. 2015). This may be due to the comparatively small carrying capacity and/ or a greater vulnerability to edge effects of LLEs relative to habitat patches (Simberloff et al. 1992). Thus, though species can use LLEs as relatively permeable corridors for movement, they may not always be able to utilise LLEs as locations in which to permanently reside and reproduce (Pryke and Samways 2001).
The configuration of LLE networks can vary substantially in density and continuity both between and within agricultural landscapes; the location of drainage ditches will reflect both the topography and hydrology of the terrain, whilst patterns of landownership determine where hedgerows are planted or maintained to act as barriers to livestock movement. Similarly, urban LLEs such as road or railway verges will reflect patterns of urban development that have rarely been planned with ecology in mind. LLEs will often intersect, for example, where they demarcate the corners of fields or roadway intersections (Joyce et al. 1999), and thereby collectively form a semicontinuous network composed of nodes and edges, varying in density and shape across the landscape.
The creation of additional novel LLEs in a network might be expected to increase connectivity by providing a greater abundance of corridors for dispersal and offering greater freedom of movement through a greater number of LLE nodes to avoid predators, forage and disperse to novel patches (Forman & Gordon 1981). However, it might not always be so straightforward. For instance, in one of the only studies to date which experimentally tested the impact of LLE intersections on dispersal patterns, Eriksson et al. (2013) found that 50% of released bush-crickets (Metrioptera roeseli) would change their initial direction of travel through a linear grassy verge at least once upon encountering a node. This highlights a potential downside of the greater freedom of movement offered by a denser LLE network. An individual moving along a LLE in the direction of suitable habitat may be less likely to reach that habitat efficiently if it encounters nodes formed with transecting LLEs. This raises the possibility that too many LLEs in a network might potentially decrease landscape-wide connectivity by overwhelming individuals with redundant options for movement.
Increasing the width of LLEs may also have a similarly counterintuitive impact on their suitability as corridors for animal movement. Though wider ecological corridors can be easier for individuals to move through (Baur and Baur 1992;Tischendorf et al. 1998) and hence broader LLEs might be expected to contribute positively to connectivity, there is also evidence that individuals can make larger lateral movements within wider corridors that extend their time taken to traverse its length, which in turn reduces their final likelihood of moving from one end of the feature to the other (Andreassen et al. 1996). This suggests that wider LLEs can be less effective in some regards as corridors to connect ecologically significant locations. We may observe here another example of how a greater freedom of movement (in this case within single LLEs) might negatively impact the connectivity of LLE networks if it induces individuals to move less efficiently through LLEs of larger dimensions.
Therefore, there is a need to gain improved understanding of how the number, characteristics and spatial arrangement of LLEs within a landscape impacts on connectivity between ecologically important sites.
Here, we developed in-silico experiments to investigate how varying the LLE network configuration between habitat patches in a synthetic, hypothetical landscape might affect connectivity. An individualbased model of species movement was used to predict dispersal rates and thus connectivity across a series of landscapes. The experiments sought to determine how the configuration of a network of intersecting LLE corridors might affect connectivity by experimentally altering: (1) the number and width of LLEs connecting patches to each other and (2) the number and width of LLEs transecting the connecting LLEs to form a distribution of nodes.
This distinction was designed to reflect the gridlike structure of real LLE lattices where hedgerows, ditches or verges often intersect roughly at right angles, and where it is a frequent pattern to observe large, straight formations intersected throughout their lengths by numerous LLEs running in roughly perpendicular directions.

Methodology
Our modelling approach was to simulate the dispersal of many individuals into landscapes comprised of intersecting high-quality LLE corridors permitting movement between two habitat patches. By varying the spatial arrangements of LLEs between landscapes we sought insight into how LLE characteristics enhance and/or inhibit the per-individual probability of successful dispersal from natal to novel habitat patches as a metric of landscape connectivity. To simulate individual movements through LLE networks, we used the Stochastic Movement Simulator (SMS; Palmer et al. 2011) provided within the ecological software RangeShifter v. 2.0 (Bocedi et al. 2021; see also Bocedi et al. 2014). The SMS accounts for the role of individual perception to predict emergent patterns of connectivity. Naïve individuals respond to landscape structure within a limited perceptual range, producing stochastic movement behaviours that can deviate substantially from those predicted by least-cost path or circuit theory-based models, which ignore the potential for dispersers to become lost or disoriented when traversing large complex landscapes. In at least one study, SMS was demonstrated to provide better estimates of inter-patch connectivity than these alternative approaches (Coulon et al. 2015).

TartanGraphs
In order to investigate how the connectivity of an LLE network might be affected by its configuration, a series of stylised cell-based landscapes were created as inputs for RangeShifter. These landscapes consisted of identical, rectangular habitat patches arranged into pairs separated by an impermeable matrix and straight LLEs providing corridors for movement. Corridors were parametrised with zero carrying capacity, preventing individuals from reproducing outside of patches and excluding LLEs as potential habitat. Corridor networks were composed of two LLE types; connecting-edges, terminating at either end at each patch, and transecting-edges, forming nodes with the connecting-edges on perpendicular axes. Based on the pattern of intersecting lines created by this stylised landscape structure, we dubbed these landscapes TartanGraphs (Fig. 1.).
The scale of TartanGraphs was inspired by the landscape structure of parts of the Fens, a coastal plain of eastern England containing fragmented wetland remnants separated by matrix of intensive agriculture and dense webbings of drainage ditch LLEs. Several remnant wetland patches are in relative proximity, such as the ~ 5.0 km distance between Wicken Fen and Chippenham Fen nature reserves, and this informed positioning of TartanGraph patches at ~ 5.5 km apart which, at a cellular resolution of 32 m, placed patches 177 raster-cells apart. This inter-patch distance also provided ample space to experimentally increase the numbers and widths of transecting-edges in order to answer our study aims.
To accommodate comparable experimental widening or addition of connecting-edges, habitat patches were made much wider than long, measuring 0.5 km (17 cells) by 6.0 km (188 cells). The least-costly path of inter-patch dispersal made available to individuals by virtue of connecting-edges was therefore identical on all graphs, requiring individuals to make at least 178 "steps" (single cell-to-cell movement) to disperse from natal to novel patches.
Cells between LLEs were set to "no data" values, rendering the matrix inaccessible to simulated individuals and bestowing impenetrable, reflective boundaries to LLEs. Upon encountering a matrix cell in their line of travel, the angle of trajectory adjustment individuals undertake to continue moving is governed by the Directional Persistence parameter, which assigns a likelihood to each new available trajectory that declines with greater difference in angle from the initial direction of movement. Hence, when individuals encounter corridor boundaries, they are more likely to make the smallest trajectory adjustment available to continue dispersal than to make larger directional changes, and the higher Directional Persistence is the stronger will be the preference for smaller adjustments.
To investigate the effect of LLE density and width on connectivity, three Experimental Sets of Tartan-Graphs (Table 1) were created and employed in-silico to assess whether connectivity, measured as probability of inter-patch dispersal, responded significantly to different treatments of edge numbers and widths.
The 25 TartanGraphs of the first Experimental Set exhibited networks consisting of every combination of five treatments of connecting and transecting-edge number and were used to analyse the impact of LLE quantity and orientation on connectivity. The number of edges contained within TartanGraphs was experimentally increased by inserting novel edges into the intervals between LLEs or between LLEs and the patch boundary (e.g. 16 new LLEs were added to the 17 connecting-edge landscapes to create Tartan-Graphs with 33 connecting-edges).
A second and third Experimental Set of Tartan-Graphs were created to investigate the impact of altering widths of connecting and transecting-edges, respectively. The second Experimental Set contained 48 TartanGraphs exhibiting every combination of four treatments of connecting and transecting-edge number and three treatments of connecting-edge width. Results from this Experimental Set were used to assess the influence of increasing the width of connecting-edges on connectivity. The third Experimental Set of 36 TartanGraphs contained every combination of four treatments of connecting-edge number, three treatments of transecting-edge number and three treatments of transecting edge width, employed to assess the effect of increasing transecting-edge width on inter-patch dispersal.

Simulations in RangeShifter
We used the SMS equipped in the RangeShifter platform to simulate thousands of individuals moving on TartanGraphs according to different sets of movement rules. To achieve this, we specified a simple demography that yielded stable populations and induced hundreds of dispersals per-year. Namely, populations of a sexually reproducing species with a juvenile and adult stage were parameterised so that only adults could disperse and emigration from patches was density-dependent; this was inspired by the movement behaviours of insect species where adults are highly mobile in contrast to larvae. Each simulated year allowed adults one breeding season, and the species was parameterised to have high fecundity and mortality rates. With this demography, habitat patches sustained a mean population size of 862.2 adults at equilibrium and generated a mean of ~ 410 emigrants (SD: ± 32.4) per year. For a full account of demographic and movement parameterisation see supplementary material 1.0.
In the SMS, individuals can only undergo dispersal once in their lifespan and they begin dispersal by appearing in a random cell within their natal patch and initiating movement in a random direction, though movement costs are not applied until they pass the patch boundary. Once outside, individuals are prevented from resettling in their natal patch and continue movement until they either locate and settle in another suitable patch or expire from movement costs. Each year begins with the generation of dispersing patch-emigrants and ends with settlement or mid-dispersal mortality of all individuals before moving on to the next year. Individuals do not interact with each other during dispersal and there is no limit to the number of dispersers that can occupy a cell simultaneously. Dispersal mortality was based on a per-step mortality risk, incurred every time individuals moved into an LLE cell. Though individuals could move an unlimited number of steps, this perstep mortality served to limit the distance individuals could feasibly travel through corridors before expiring. Per-step mortality probability of LLE corridors was parameterised at 0.01 and, in these conditions, the mean number of steps made by all individuals insilico was ~ 100 before mortality. SMS assumes that patch populations are fully mixed. Individuals were parameterised with a low perceptual range of their landscape (1 cell radius), designed to simulate conditions approximating the reality of water-filled drainage networks or lattices of linear grassy verges, wherein small organisms might struggle to perceive their environment beyond what is immediately surrounding their location. To examine how movement behaviour might impact dispersal rates, different treatments of Directional Persistence (DP) where applied to all TartanGraphs in separate simulations. DP is a dimensionless parameter that determines the autocorrelation of movement patterns. As DP is increased, individuals are less likely to change direction during dispersal and they move in straighter trajectories. The parameter determines the likelihood of changing direction as the inverse of its value to the power of 0, 1, 2, 3 or 4; where power scales with the angle of five possible trajectory changes on a cellular landscape (0°, 45°…180°). Three values of DP (5.0, 7.5 and 10.0) were simulated to test the hypothesis that increasing this parameter would produce a positive impact on the connectivity of TartanGraph systems irrespective of LLE characteristics, which we expected based on the belief that highly correlated individuals would be less likely to change direction at the nodes of LLE intersections and thus more likely to encounter novel habitat by maintaining trajectory along connecting-edges. In-silico individuals were not only able to change direction at nodes but could readily make lateral movements or turn full-about within the narrowest LLEs and move backwards on corridor sections already traversed.
Reproduction and dispersal over a period of 210 years was simulated nine times on each Tar-tanGraph; three replicate simulations for each Tar-tanGraph and DP treatment. Habitat patches were initialised with a population of adult-stage individuals numbering half of patch carrying-capacities. To access detailed information on behaviour of individuals in-silico, we set RangeShifter to produce text files detailing specific information on all individuals for each time-step (year in this case) of simulations; including their sex, age, origin, current location and number of steps made in dispersal mode. Observations from the first decade of simulations were excluded from results before analysis, as this covered the initialisation period of populations reproducing to attain equilibrium.

Data analysis
From individual-based data, we quantified the total number of individuals leaving habitat patches over a period of 200 years by consulting the number of steps recorded for individuals. As RangeShifter does not record within-patch movements and individuals can only disperse once throughout their lives, the Total-Dispersers observed in each TartanGraph's LLE system over 200 years was quantified by counting the number of observations where individuals originating from one of its two habitat patches were recorded making one or more steps. To evaluate how the number of LLEs might affect patch-emigration rates, we fitted connecting and transecting-edge numbers (as five-level factors) to separate analysis of variance tests (implemented in R version 4.0; R Core Team 2020) to see if any significant effect of LLE density upon Total-Dispersers across all TartanGraphs and DP treatments (n = 327) could be detected.
We then quantified inter-patch dispersal rates across TartanGraphs as a metric of landscape connectivity. The PatchID variable included in results recorded the unique ID of the habitat patch individuals inhabited at each simulation time-step. For each TartanGraph and simulation, we calculated the number of individuals that dispersed from either patch of the landscape into the other (Inter-patch Dispersers) by counting the subset of Total-Dispersers whose PatchID was greater than 0, indicating that they were inside another patch at year's conclusion. A PatchID value of 0 indicates that a disperser was not located within any habitat patch at the end of that simulated year and must therefore have expired from movement costs inside an LLE. By dividing quantity of Interpatch Dispersers by Total-Dispersers, we calculated a per-individual Traversal-Probability for each Tar-tanGraph within different simulations, quantifying the likelihood of an individual reaching the other side of their TartanGraph after having left natal patches. By comparing Traversal-Probabilities across different TartanGraphs under experimental treatments we sought to distinguish changes in dispersal rates that correlated with alterations in LLE networks or changes to movement autocorrelation.

Rate of Patch-egress
All TartanGraphs implemented in the experiments produced similar quantities of over a hundred-thousand individuals leaving habitat patches and initiating movement through LLEs (see SM 2.0). A mean of 163,822 Total-Dispersers were recorded across all simulations with an average standard deviation of 1,027 between replicate simulations. Analysis of variance tests detected weak effects on Total Dispersers of transecting-edge numbers (p = 0.01) and of connecting-edges (p = 0.03) (SM 3.1 & 3.2), presumably arising through density-dependant emigration. Increasing transecting-edge numbers from zero to 31 induced a mean reduction of 0.2% in patch-emigration. The largest difference in mean Total-Dispersers between two connecting-edge treatments amounted to ~ 510 individuals (nine versus 33 connecting-edges).

Corridor network density
Density and orientation of LLEs overlaying the matrix of TartanGraph systems exerted a substantial impact on their ecological connectivity. Most strikingly, while the two different edge types (connecting and transecting) represented in the TartanGraphs both had significant effects, the direction of their effects were opposite. This pattern was clearly seen across the first experimental set of 25 TartanGraphs. Number of connecting-edges was positively correlated with Traversal-Probability whilst the number of transecting-edges was negatively correlated (Fig. 2).
The TartanGraph whose structure was least conducive to inter-patch dispersal was composed of 3 connecting-edges and 31 transecting-edges, wherein highly correlated dispersers had a less than 0.01% probability of undergoing inter-patch dispersal (1.0e-4) and individuals set with lower movement correlation had no prospect of advancing to novel habitat. Conversely, the TartanGraph most conducive to inter-patch exchange had 33 connecting-edges and no transecting-edges, providing individuals with a 1.3% chance of encountering novel habitat (1.3e-2). Individuals were substantially more likely to undertake inter-patch dispersal when they were parameterised to disperse with more correlated movements.

The mean Traversal-Probability of individuals in all
TartanGraphs was as small as ~ 3.0e-4 under DP 5.0 treatments and increased by a factor of ten to ~ 3.0e-3 under DP 10.0 treatments, indicating the utility of greater directional persistence to facilitate inter-patch dispersal (see SM 3.3 and 3.4).
Trends in Traversal-Probability were reflected closely by connectivity measured as number of Interpatch Dispersers. The mean number of Inter-patch Dispersers recorded across all simulations was 247 and the largest inter-patch exchange of individuals in any simulation numbered 2,166 across the Tartan-Graph with 33 connecting-edges and no intersecting LLEs. All simulations in which no inter-patch exchange occurred were conducted on TartanGraphs bearing 31 transecting-edges, concurring with the lowest mean Dispersal Probabilities observed on these same landscapes. The similar response of Traversal-Probability and Inter-patch Dispersers to experimental treatments also indicates the relative stability of Total-Disperser quantities across simulations and suggests that patch-emigration rates were largely independent from experimental treatments.
Though the contrasting general effects of the two edge types are evident from results, small deviations from the general trends occurred, particularly at smaller numbers of edges. TartanGraphs with nine connecting-edges experienced slightly lower inter-patch dispersal than those with less of the same LLE type in some instances (Fig. 2. Green points). Conversely, TartanGraphs with small numbers of connecting-edges showed single instances of greater Traversal-Probability when transecting-edges were added, though the negative effect of transectingedges re-established themselves in subsequent, larger additions.

Width of edges
In the second Set of 48 TartanGraphs, we observed the same positive and negative correlations of Traversal-Probability with the number of connecting and transecting-edges, respectively, as well as a less substantial correlation of connecting-edge width with connectivity. Mean Traversal-Probability of TartanGraphs with the widest connecting-edges (six cells) was slightly higher than that recorded from TartanGraphs with narrower inter-patch corridors, recording mean Probabilities of 1.7e-3 and ~ 1.3e-3, respectively. The response of inter-patch dispersal rates to LLE width treatments changed noticeably depending on movement correlation of individuals, where mean Traversal-Probability exhibited almost no significant change with increasing corridor width under DP 5.0/7.5 but was improved by wider connecting-edges only for individuals parameterised to move in straighter, more correlated patterns (Fig. 3.).
Response of connectivity to wider connectingedges was also different depending on transectingedge density. In TartanGraphs with no or three perpendicular LLEs, connectivity showed improvement with the addition of connecting-edges but did not exhibit any consistent difference between LLE width treatments when controlling for connecting-edge quantity ( Fig. 4: left). It actually appears from this data that connectivity improvement induced by adding connecting-edges, in the absence of intersecting LLEs, was more gradual when the edges added were of the widest breadth. However, at higher concentrations of transecting-edges there was a more consistent difference in connectivity between TartanGraphs with wide and narrow connecting-edges, whereby wider corridors better facilitated inter-patch exchange than narrower corridors of the same quantity ( Fig. 4:  right).
The third experimental set of 36 TartanGraphs demonstrated a less ambiguous impact of corridor width on connectivity, whereby wider transectingedges consistently resulted in lower likelihood of inter-patch dispersal regardless of other experimental conditions (Fig. 5).
Mean Traversal-Probability of all TartanGraphs across all DP treatments declined from 1.0e-3 to 3.1e-4 as transecting-edges were increased from two to six cells diameter. This readily apparent difference between LLE width treatments could be observed when controlling for all treatments of connectingedge number and movement correlation, demonstrating that increasing the width of perpendicularly oriented LLE corridors inhibited the likelihood of inter-patch dispersal, reflecting the negative effect of increasing the quantity of these same LLEs. Inter-patch dispersal rates show considerable overlap between corridor width treatments and no treatment appears constantly better for connectivity than the others in the absence of intersecting LLEs. Right: all TartanGraphs with 15 transecting-edges. Dispersal rates are consistently higher when TartanGraphs bear wider connecting-edges

Discussion
Our findings suggest that the greater freedom of movement offered by linear features acting as dispersal corridors can negatively impact a landscape's connectivity by increasing the likelihood of dispersing individuals becoming lost during transfer and thereby demographically isolating embedded habitat patches. Though previous in-silico studies have examined the effect of creating novel LLEs to connect habitat patches, these focused on addition of single patch-topatch corridors (Lefkovitch and Fahrig 1985;Anderson and Danielson 1997). We simulated two-patch systems connected by networks of intersecting LLEs to examine the effect of adding multiple inter-habitat corridors and the impact of LLE nodes on movement.
Our results appear to demonstrate that LLEs can act as "traps" for dispersing individuals, depressing interpatch connectivity by channelling dispersers away from habitat patches. The potential for linear features to adversely impact connectivity by acting as sinks has been theorised by landscape ecologists Simberloff et al. 1992) and empirical research of invertebrate assemblages in LLEs suggests they can be demographic sinks for source populations in nearby habitat patches (Öckinger & Smith, 2007;Krewenka et al. 2011). By simulating individual dispersal through a permeable yet uninhabitable network, we have recreated this LLE-trap dynamic in-silico and demonstrated that increasing the number of linear elements may, depending on spatial orientation, have counter-productive effects on fragmented habitat connectivity.
An explanation for this may be found in empirical results reported by Eriksson et al. (2013). They demonstrated that a node formed by intersecting LLEs caused an approximately 50/50 division of dispersing crickets into individuals that maintained direction and moved past the node and those who changed direction and moved into the transecting LLE. By assuming a limited perception of environment and set probabilities of changing direction on the part of dispersers, the SMS replicated this tendency of individuals in nature to exploit the freedom of movement offered by nodes, whether to the benefit or detriment of their survival. As transecting-edges would permit individuals to make lateral movements across the landscape but provide no additional routes by which they could approach either patch, movements through them would have been unproductive toward finding habitat whilst nonetheless extracting a movement-cost, and a greater portion of disperser cohorts may have initiated movement into transecting-edges when more nodes were present. This effect may also  TartanGraphs sharing the same number of transecting-edges (X-axis) and cellular width of transecting-edges (coloured). Bars indicate standard error within TartanGraph groupings. A consistently negative correlation between Probability and both explanatory variables is apparent, whereby a greater quantity or diameter of transecting-edges reduced an individual's chance of inter-patch dispersal account for the significant correlation between LLE numbers and patch-egress rates, as emigration was parameterised to be density-dependant and changes in inter-patch dispersal rates induced by LLE density treatments may have been sufficient to significantly affect Total-Dispersers by increasing/alleviating density-dependant pressures on in-patch individuals to initiate dispersal.
Our hypothesis that increasing the movement correlation of individuals would improve dispersal rates was supported by results. Prior in-silico experiments have demonstrated that greater autocorrelation in movement increases the dispersal-potential of populations across homogenous areas (such as our Tar-tanGraphs LLEs), because individuals can attain greater distances under constraints on movement, such as timeframe or movement-costs (Cain 1991;Tischendorf and Wissel 1997). Thus, highly correlated individuals may have made more efficient use of LLEs during movement, closing the distance to novel habitat patches in a smaller number of steps than less correlated movers. It is also possible that highly correlated movers were less likely to make use of intersections to move between LLEs, and a lower propensity to use nodes to change direction might have contributed to their greater dispersal rates independent of their greater efficiency of movement through LLEs.
Based on the results of these simulations it appears LLEs exerted a highly focussed and unidirectional impact on connectivity whereby they significantly increased landscape permeability along their axes but restricted perpendicular movements. These results add to a body of empirical evidence demonstrating how LLEs may exert dual effects of facilitating or inhibiting movement across landscapes depending on orientation (Fabritius et al. 2015;Klaus et al. 2015).
The effect of widening either edge type appears to produce similar though sometimes weaker effects on dispersal as increasing LLE numbers. The Tartan-Graphs that possessed wider connecting-edges generally experienced greater connectivity than those with the same number of narrower LLEs. Other in-silico studies have also found that wider corridors are more conducive to facilitating connectivity along their lengths (Baur and Baur 1992;Tischendorf et al. 1998;Delattre et al. 2010;Christies and Knowles 2015) as wider corridors offer less resistance to movement by lowering the chance of dispersers encountering corridor's boundaries or edge elements (Tischendorf and Wissel 1997). However, we found that increasing the width of connecting-edges had a weakly positive impact on connectivity only when individuals were parameterised with the highest degree of correlated movement (Fig. 3). For less correlated dispersers, positive effects of increased corridor width may have been offset by the greater freedom of lateral movement permitted by a broad connecting-edge, allowing individuals to make meandering movements along LLEs and hence use connecting-edges inefficiently. Empirical studies on the movement of animals through corridors of different widths reveal potential real-world parallels to our simulation results. Andreassen et al. (1996) found that released voles had a higher chance of traversing 1 m wide corridors than 3 m wide ones to disperse toward habitat patches and suggests that cross-sectional movements inside the wider corridors may explain lower traversal rates therein. Similarly, Kowalski et al. (2019) found that voles moved faster through narrower grassy corridors than in other treatments, and Pryke and Samways (2001) observed vagile butterfly species moving faster through narrow grassland corridors than wider ones. Findings such as these suggest that boundaries situated at proximity may serve to channel dispersers through faster than if they were wider apart (Tischendorf and Wissel 1997).
Such a boundary-channelling dynamic may account for why dispersal rates of our individuals were sometimes higher on TartanGraphs with narrower connecting-edges, as the combined assumptions of reflecting LLE boundaries and moderate-tohigh movement correlation would have significantly limited individual's opportunities to change direction when adjacent to matrix cells and compelled individuals to move in straighter trajectories regardless of parametrisation. The assumption of impenetrable matrix may thus have generated a more powerful channelling effect than if matrix were merely accessible but hostile. The assumptions of our model may therefore be less relevant to many terrestrial species exploiting LLE corridors, as agriculture elements are likely more penetrable to walking and flying species than what is presented in this study. Future investigations may expand upon results presented here to verify whether connectivity effects of LLE orientation can be observed in species less confined by the dimensions of ecological corridors. Though the reflecting boundaries assumption is more extreme than what is generally implemented for in-silico corridor studies, our results may be quite applicable to understanding the role of LLEs in aquatic organism dispersal (eg. fish, snails or brachypterous beetles) using drainage ditches to traverse agricultural areas. Though less studied than hedgerows, ditches are a feature of many developed landscapes and are known to provide corridors for aquatic species (Hurtrez-Boussès et al. 2010;Favre-Bac et al. 2016). The boundaries of TartanGraph LLEs may differ little in effect from how the steep sides of ditches and dependency on water for respiration confines the movement of such aquatic dispersers.
Our findings highlight the importance of incorporating behavioural variables into models of dispersal in order to detect sometimes unintuitive consequences of landscape structure on connectivity. Dispersal rates through TartanGraphs derived from least-cost theory would have been identical for all network configurations, as inter-patch distance and movement resistance of LLEs were controlled for in landscape design. Only by incorporating limited perceptual range on the part of individuals did RangeShifter identify the trapping effect exerted by some LLEs, as naïve individuals used nodes to enter corridors regardless of whether they led closer or further from novel habitat. In-silico studies using an individual-based approach have previously found evidence that the addition of features designed to promote connectivity can have the opposite effect, such as in the case of "steppingstones", where it was suggested via individualbased modelling that small patches of novel habitat designed to encourage movement between larger remnant patches could disrupt dispersal rates by encouraging individuals to settle in them (Hein et al. 2004;Kramer-Schadt et al. 2011). Like our transectingedges, steppingstones might be expected to improve connectivity by easing overall landscape resistance to movement. However, precluded as they are from an ecologist's view of the landscape, individuals in nature react to landscape structure within a limited range of perception and may use permeable features in ways that cause wild populations to make only partial use of available landscape resources.
Our model was parameterised to simulate the demography and movement behaviour of a hypothetical insect species based on limited knowledge available on how such organisms perceive landscape features, thus our model makes conservative assumptions about species capabilities that might not be generalisable to all taxa. In the same way stylised Tar-tanGraph landscapes were designed to control for confounding geographic effects on connectivity, we specified stable populations to minimise the noise emitted by demographic stochasticity and allow us to evaluate the consequences of experimentally altered variables. These assumptions may be less relevant to conservation efforts on species in demographic decline as a result of habitat fragmentation, and ecologists may have to decide on a case-by-case basis how the dual effects of LLEs corridors indicated here might either ease or exacerbate population extinction risks, by acting as conduits for metapopulation connectivity or traps for dispersing individuals, respectively. We initially intended to measure connectivity as the number of years one or more inter-patch dispersal events took place, but instead opted for a perindividual probability of dispersal after leaving habitat patches, reasoning that measuring connectivity as dispersal event number could have been sensitive to population parameters as it does not control for the number of individuals attempting dispersal in the first place.
We assumed limited perception and high dispersal mortality on the part of individuals, which may have generated lower dispersal rates than would be expected for more robust or perceptive species that could have more opportunity to encounter or detect novel habitat, respectively. We have included supplementary material showing the effect of increasing these variables on dispersal probabilities in fifteen TartanGraphs and demonstrated therein that increasing perceptual range and lowering step-mortality improved dispersal probabilities, but also that the dual effects of corridors and their orientations were still apparent at all levels (see SM 4.0). Thus, we believe that the trends identified in our paper may apply to taxa with a range of dispersal and perceptual abilities.
Parameters used to determine species movement behaviours remained static throughout simulations and we assumed no adaptation in movement behaviour on the part of individuals. It is possible that species located in real agricultural landscapes may adapt to the challenges of navigating LLE corridors by such changes as increasing movement correlation to avoid the risk of misdirection by nodes, and future studies might investigate how selective processes and inter-individual variability alter the behaviour of species to mitigate the negative effects of LLEs identified in this study. However, we believe that the results of this investigation are nonetheless relevant to understanding how species may be impacted by LLE configuration in contemporary landscapes as the length of time some populations have had to adapt to exploiting these unnaturally-shaped elements may be relatively short on an evolutionary timescale. Our model also assumed no explicit predation upon individuals, and in real landscapes high predator density in shortest inter-patch corridors may alter the connectivity benefits of these LLEs relative to longer and more indirect routes between habitat patches (Dickie et al. 2019). A fruitful avenue of future study into the role of corridor intersection on dispersal might be to determine whether increasing freedom of movement, such as by adding transecting-edges, can become a greater asset than liability to connectivity if the negative effects of trapping and overwhelming individuals with choice for movement is offset by reducing their chances of encountering predators.
The insights presented in this study are particularly valuable given the increasing interest in the use of conservation corridors to facilitate connectivity and movements of wildlife between parts of the landscape (Hilty et al. 2020). Improving connectivity is an intrinsic part of the international community's response to the biodiversity and climate change crises (Saura et al. 2018). In countries with large-scale intensive agriculture, like the UK, where the landscape is criss-crossed by field boundaries made up of hedgerows or ditches, this research is particularly useful. For example, current guidance on the design of corridors as part of England's plans for the development of national Nature Recovery Network did not consider the possible impacts of how conservation corridors could act as a hindrance to dispersal if effectively providing cul-de-sacs for dispersing individuals (Crick et al. 2020).

Conclusion
According to our results, the number, width and orientation of the LLEs that compose an intersecting network can have significant and sometimes counterintuitive impacts on connectivity. By taking an individual-based approach, we found that connectivity might be negatively impacted by the greater freedom of movement offered by LLE corridors and their intersections, as dispersers were vulnerable to being drawn into traps where they would expire from movement costs. Increasing the width of LLEs exerted a similar effect on dispersal as increasing LLE numbers, though the beneficial effect of increasing connecting-edge width was weaker than increasing their number. Wide LLEs allow greater movement of directionally persistent dispersers, but narrower LLEs may in some instances better promote the movement of individuals that move in a less correlated manner through channelling effects. The results of this study provide further evidence of the utility of individualbased methods to investigate how the creation of novel elements may improve landscape permeability but can also harm connectivity over larger spatial scales by orienting individuals away from optimal habitats and landscape resources. use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http:// creat iveco mmons. org/ licen ses/ by/4. 0/.