Hostname: page-component-745bb68f8f-b95js Total loading time: 0 Render date: 2025-02-11T11:54:11.583Z Has data issue: false hasContentIssue false

Effect of distance from edge on exotic grass abundance in tropical dry forests bordering pastures in Ecuador

Published online by Cambridge University Press:  23 March 2017

Hannah Ruth Lyons-Galante*
Affiliation:
Harvard University Center for the Environment, Harvard University, Cambridge, MA 02138, USA
Xavier Haro-Carrión
Affiliation:
School of Natural Resources and Environment, University of Florida, Gainesville, FL 32611, USA Department of Geography, University of Florida, Gainesville, FL 32611, USA
*
*Corresponding author. Email: hlyonsgalante@post.harvard.edu
Rights & Permissions [Opens in a new window]

Abstract:

We compared exotic pasture grass cover near the edges of 20–25-y-old secondary forests (N = 8) with those of mature forests (N = 8), bordering actively grazed pastures on the Pacific Coast of Ecuador. We estimated grass cover in 224 1 × 3-m plots along transects that ran from the pasture edge into forest interiors (11–44 m). Using a spline regression, we divided the transects into three segments: exterior (in the pasture), edge and interior (in the forest). With a stepwise regression, we tested the effect of transect section, forest type and distance from edge on grass cover. Forest type, distance from edge, interior transect section and the combined effect of distance from edge in both the interior and exterior sections explained variation in grass cover. Grass abundance was higher and penetrated further into secondary than mature forests. Edge proximity and differences in forest canopy openness likely favours recruitment and persistence of pasture grasses.

Type
Short Communication
Copyright
Copyright © Cambridge University Press 2017 

Forest regeneration occurring on abandoned agricultural land in the tropics tends to occur without intentional human assistance (Aide et al. Reference AIDE, ZIMMERMAN, PASCARELLA, RIVERA and MARCANO-VEGA2000) therefore it is important to document possible impediments to this type of secondary succession. Factors influencing regeneration include the severity of previous degradation, the surrounding matrix and edge type (Aide et al. Reference AIDE, ZIMMERMAN, PASCARELLA, RIVERA and MARCANO-VEGA2000, Ewers & Didham Reference EWERS and DIDHAM2005, Griscom & Ashton Reference GRISCOM and ASHTON2011, Griscom et al. Reference GRISCOM, GRISCOM and ASHTON2009, Harper et al. Reference HARPER, MACDONALD, BURTON, CHEN, BROSOFSKE, SAUNDERS, EUSKIRCHEN, ROBERTS, JAITEH and ESSEEN2005, Mesquita et al. Reference MESQUITA, MASSOCA, JAKOVAC, BENTOS and WILLIAMSON2015). These in turn influence the ability of pasture grasses to persist at the time of abandonment (Aide & Cavelier Reference AIDE and CAVELIER1994, Griscom & Ashton Reference GRISCOM and ASHTON2011, Guariguata & Ostertag Reference GUARIGUATA and OSTERTAG2001). However, it remains less understood how natural regeneration processes vary across different tropical vegetation types.

In wet tropical forests, canopy closure is critical to kill sun-loving species, including pasture grasses (Aide et al. Reference AIDE, ZIMMERMAN, PASCARELLA, RIVERA and MARCANO-VEGA2000, Holl Reference HOLL, Perrow and Davy2002, Nepstad et al. Reference NEPSTAD, UHL, SERRÃO and Anderson1990, Uhl et al. Reference UHL, BUSCHBACHER and SERRÃO1988). Where many canopy trees are deciduous, such as in tropical dry forests, seasonal leaf fall may favour longer persistence of pasture grasses (Aide et al. Reference AIDE, ZIMMERMAN, PASCARELLA, RIVERA and MARCANO-VEGA2000, Nepstad et al. Reference NEPSTAD, UHL, SERRÃO and Anderson1990, Uhl et al. Reference UHL, BUSCHBACHER and SERRÃO1988), or allow their colonization (Janzen Reference JANZEN, Perrow and Davy2002, Veldman & Putz Reference VELDMAN and PUTZ2011). Dry forests are also prone to fire, which promotes the persistence and colonization of exotic pasture grasses (D'Antonio & Vitousek Reference D'ANTONIO and VITOUSEK1992, Griscom & Ashton Reference GRISCOM and ASHTON2011, Janzen Reference JANZEN, Perrow and Davy2002, Scholes & Archer Reference SCHOLES and ARCHER1997, Veldman & Putz Reference VELDMAN and PUTZ2011). Remnant and colonizing exotic grasses also compete with tree seedlings delaying or arresting forest succession (Scholes & Archer Reference SCHOLES and ARCHER1997, Sun & Dickson Reference SUN and DICKSON1996, Zimmerman et al. Reference ZIMMERMAN, PASCARELLA and AIDE2000).

To improve our understanding of regeneration in dry tropical environments, we surveyed exotic grass abundance in secondary forests adjacent to active pastures, and compared these patterns with those on the edges of mature forests. Despite 20–25 y of abandonment, we hypothesized that significantly higher amounts of pasture grasses would still be found in secondary forest and that these penetrate further into secondary forest interiors compared with mature forest fragments.

We conducted our study in a fragmented landscape of dry forests in coastal Ecuador in the surroundings of Tabuga (UTM 17M 590180m E 9983303m S). This area is part of the Chocó/Darién/Western Ecuador biodiversity hotspot (Myers et al. Reference MYERS, MITTERMEIER, MITTERMEIER, DA FONSECA and KENT2000). A mosaic of land-cover types characterizes the landscape, dominated by a matrix of pasture grasses (i.e. Megathyrsus maximus and Cynodon spp.) introduced from Africa (Jørgensen & León-Yánez Reference JØRGENSEN and LÉON-YÁNEZ1999, Williams & Baruch Reference WILLIAMS and BARUCH2000). Forest cover includes secondary, mature and selectively logged forests.

We surveyed grass abundance in eight secondary forests and in eight mature forests adjacent to unfenced, active, pastures. The secondary forests we sampled developed in areas cleared for cattle in the 1950s and 1960s but abandoned in the 1980s and 1990s (Rweyemamu et al. Reference RWEYEMAMU, ROEDER, MACKAY, SUMPTION, BROWNLIE, LEFORBAN, VALARCHER, KNOWLES and SARAIVA2008). The eight mature forests surveyed showed no signs of intensive logging or other recent anthropogenic disturbances, and most were protected by the Ecuadorian government's Socio Bosque programme at the time this study was conducted (de Koning et al. Reference DE KONING, AGUIÑAGA, BRAVO, CHIU, LASCANO, LOZADA and SUAREZ2011).

We measured exotic pasture grass abundance in evenly spaced 1 × 3-m plots on randomly selected sides of transects that ran perpendicular to the forest edge. Each transect started in an open pasture and ended in the forest interior where grass was no longer found (11–44 m); inter-plot distances varied with transect length from 0 m in transects shorter than 20 m and up to 3 m in transects of 44 m. Per cent grass cover was estimated as the proportion of 20 × 20-cm subplots in which grass occurred.

To understand the effect of distance from the edge on grass cover, we used spline regression. Sampled transects were divided into three sections: exterior (open pastureland), edge (the transition between pasture and forest) and interior. In its simplest form, a spline regression partitions the explanatory variable of grass cover into disjoint hyper-regions, where the slope of the regression changes at specific points called knots. Within each hyper-region a linear relationship is used to explain the influence of one or more explanatory variables on the response variable (Balshi et al. Reference BALSHI, MCGUIRE, DUFFY, FLANNIGAN, WALSH and MELILLO2009, Marsh & Cormier Reference MARSH and CORMIER2001). We constrained the model to identify two knots in grass cover, which divided the sampled transects into exterior, edge and interior. To remove random variation in management across sites, we used the running mean between adjacent plots. Spline regressions were conducted independently for each secondary forest and mature forest transect.

To compare mature and secondary forests on the basis of distance from the edge on grass abundance, we used a general stepwise regression model with the running mean of grass cover as the response variable. Categorical predictors included forest type (mature or secondary) and transect sections (exterior, edge and interior). The relative distance of each plot from the edge-interior knot was used as continuous predictor and we tested for interactions between each of our predictors. Multiple regression models were conducted using SPSS (version 21). The Breush-Pagan & Koener and Hayes & Cai (Reference HAYES and CAI2007) macros in SPSS were used to statistically identify and account for heteroscedasticity in model residuals. To ensure normality of residuals, grass cover was square-root transformed (Standardized Residual Kolmogorov–Smirnov P = 0.067). Spline regression models were conducted in R (Version 0.98.1062) using the ‘segmented’ package (Muggeo Reference MUGGEO2003, Reference MUGGEO2008).

Grass cover decreased from open pastureland into both mature and secondary forest interiors, but grasses were more abundant in the interiors of the latter (Figure 1, Table 1). Higher variation in grass cover was found in pastures bordering secondary forests compared to those bordering mature forests. The calculated width of secondary forest edges for the response variable grass cover (~7 m, Figure 1b) was also more than double that of mature forest (~3 m, Figure 1a). In the forest interiors, grass disappeared at 10 m from the edge in mature forest (Figure 1a) but was still present > 20 m from the secondary-forest edge (Figure 1b).

Figure 1. Spline regression models of grass abundance across eight pasture–mature forest transects (a) and eight pasture–secondary forest transects (b) in tropical dry forests in Ecuador. Distance denotes the relative distance of a sampled plot from the edge–interior transition point (or knot).

Table 1. Parameter estimates plus interactions in a stepwise spline regression of grass abundance across eight pasture–mature forest and eight pasture–secondary forest transects in tropical dry forests in Ecuador. P values indicate significance (only significant variables are shown). R2 indicates model goodness. Interior = transect section in mature or secondary forest. Exterior = transect section in pastureland. Distance = squared root of relative distance between edge-interior-knot and exterior/interior transect sections. Forest type = mature or secondary forest.

The stepwise regression model of grass cover along transects revealed a decrease in the categorical predictor interior habitat (Pearson Correlation [PC] with grass cover = −0.838). The interaction between the predictors distance from edge and interior habitat (PC with grass cover = −0.023), and the interaction between habitat type and interior habitat (PC with grass cover = −0.545) were significant. In other words, grass cover decreased with distance into forest interiors, but this relationship differed between mature and secondary forest (Table 1).

The presence of grasses in secondary forests at a distance > 20 m from the pasture edge and a wider ‘edge’ section in secondary forests indicates a more permeable edge in secondary forest compared to mature forest. Higher variation in grass cover found in pastures bordering secondary forests (Figure 1b) compared with mature forests (Figure 1a) likely reflects differences in management. These findings should be interpreted in light of the fact that the 20–25-y-old secondary forests we sampled were the oldest in the region. We suspect that the presence of grasses on the edges of mature and especially secondary forest is related to the seasonal loss of leaves and low-density canopy of these forests compared with those in more humid tropical areas. Also, given that these pastures were not fenced, continued perturbations by cattle are likely, especially on the edges of secondary forests developing on abandoned pastures. Whether the grasses in the secondary forests are remnants or colonists, their presence is worrisome insofar as they compete with tree regeneration and increase forest flammability. The persistence of exotic grasses in seasonal tropical secondary forests despite two decades of abandonment could inform regeneration initiatives, specifically in fragmented landscapes, where secondary forests have an important role in conservation.

ACKNOWLEDGEMENTS

D.R. Foster (Harvard University), F.E. ‘Jack’ Putz and J. Southworth (University of Florida) and T. Fik (University of Florida) provided advice. Landowners allowed us to work on their lands. F. Rodríguez-Rayos assisted in the field. The Ceiba Foundation for Tropical Conservation provided logistic support. The Ecuadorian Ministry of Environment granted research permits. This study was supported by the Harvard University Center for the Environment's Undergraduate Summer Research Fund and the Harvard College Research Programme.

Footnotes

Authors contributed equally to this work.

References

LITERATURE CITED

AIDE, T. M. & CAVELIER, J. 1994. Barriers to lowland tropical forest restoration in the Sierra Nevada de Santa Marta, Colombia. Restoration Ecology 2:219229.CrossRefGoogle Scholar
AIDE, T. M., ZIMMERMAN, J. K., PASCARELLA, J. B., RIVERA, L. & MARCANO-VEGA, H. 2000. Forest regeneration in a chronosequence of tropical abandoned pastures: implications for restoration ecology. Restoration Ecology 8:328338.Google Scholar
BALSHI, M. S., MCGUIRE, A. D., DUFFY, P., FLANNIGAN, M., WALSH, J. & MELILLO, J. 2009. Assessing the response of area burned to changing climate in western boreal North America using a Multivariate Adaptive Regression Splines (MARS) approach. Global Change Biology 15:578600.CrossRefGoogle Scholar
D'ANTONIO, C. M. & VITOUSEK, P. M. 1992. Biological invasions by exotic grasses, the grass/fire cycle, and global change. Annual Review of Ecology and Systematics 23:6387.Google Scholar
DE KONING, F., AGUIÑAGA, M., BRAVO, M., CHIU, M., LASCANO, M., LOZADA, T. & SUAREZ, L. 2011. Bridging the gap between forest conservation and poverty alleviation: the Ecuadorian Socio Bosque program. Environmental Science and Policy 14:531542.Google Scholar
EWERS, R. M. & DIDHAM, R. K. 2005. Confounding factors in the detection of species responses to habitat fragmentation. Biological Reviews 81:117142.Google Scholar
GRISCOM, H. P. & ASHTON, M. S. 2011. Restoration of dry tropical forests in Central America: a review of pattern and process. Forest Ecology and Management 261:15641579.CrossRefGoogle Scholar
GRISCOM, H. P., GRISCOM, B. W. & ASHTON, M. S. 2009. Forest regeneration from pasture in the dry tropics of Panama: effects of cattle, exotic grass, and forested riparia. Restoration Ecology 17:117126.Google Scholar
GUARIGUATA, M. R. & OSTERTAG, R. 2001. Neotropical secondary forest succession: changes in structural and functional characteristics. Forest Ecology and Management 148:185206.CrossRefGoogle Scholar
HARPER, K. A., MACDONALD, S. E., BURTON, P. J., CHEN, J., BROSOFSKE, K. D., SAUNDERS, S. C., EUSKIRCHEN, E. S., ROBERTS, D., JAITEH, M. S. & ESSEEN, P.-A. 2005. Edge influence on forest structure and composition in fragmented landscapes. Conservation Biology 19:768782.Google Scholar
HAYES, A. F. & CAI, L. 2007. Using heteroskedasticity-consistent standard error estimators in OLS regression: an introduction and software implementation. Behavior Research Methods 39:709722.Google Scholar
HOLL, K. D. 2002. Tropical moist forest. Pp. 539558 in Perrow, M. R. & Davy, A. J. (eds). Handbook of ecological restoration. Vol. 2: Restoration in practice. Cambridge University Press, Cambridge.Google Scholar
JANZEN, D. H. 2002. Tropical dry forest: Area de Conservación Guanacaste, north-western Costa Rica. Pp. 559583 in Perrow, M. R. & Davy, A. J. (eds). Handbook of ecological restoration. Vol. 2: Restoration in practice. Cambridge University Press, Cambridge.Google Scholar
JØRGENSEN, P. M. & LÉON-YÁNEZ, S. (eds.). 1999. Catalogue of the vascular plants of Ecuador/Catálogo de las plantas vasculares del Ecuador. Missouri Botanical Garden Press, St. Louis. 1181 pp.Google Scholar
MARSH, L. & CORMIER, D. R. 2001. Spline regression models. Sage, Thousand Oaks. 69 pp.Google Scholar
MESQUITA, R. DE C. G., MASSOCA, P. E. DOS S., JAKOVAC, C. C., BENTOS, T. V. & WILLIAMSON, G. B. 2015. Amazon rain forest succession: stochasticity or land-use legacy? BioScience 65:849861.Google Scholar
MUGGEO, V. M. R. 2003. Estimating regression models with unknown break-points. Statistics in Medicine 22:30553071.Google Scholar
MUGGEO, V. M. R. 2008. Segmented: an R package to fit regression models with broken-line relationships. R News 8:2025.Google Scholar
MYERS, N., MITTERMEIER, R. A., MITTERMEIER, C. G., DA FONSECA, G. A. B., & KENT, J. 2000. Biodiversity hotspots for conservation priorities. Nature 403:853858.Google Scholar
NEPSTAD, D. C., UHL, C. & SERRÃO, E. A. S. 1990. Surmounting barriers to forest regeneration in abandoned, highly degraded pastures: a case study from Paragominas, Para, Brazil. Pp. 215229 in Anderson, A. B. (ed.). Alternatives to deforestation: steps toward sustainable use of the Amazon rain forest. Columbia University Press, New York.Google Scholar
RWEYEMAMU, M., ROEDER, P., MACKAY, D., SUMPTION, K., BROWNLIE, J., LEFORBAN, Y., VALARCHER, J.-F., KNOWLES, N. J. & SARAIVA, V. 2008. Epidemiological patterns of foot-and-mouth disease worldwide: global FMD epidemiology. Transboundary and Emerging Diseases 55:5772.Google Scholar
SCHOLES, R. J. & ARCHER, S. R. 1997. Tree-grass interactions in savannas. Annual Review of Ecology and Systematics 28:517544.Google Scholar
SUN, D. & DICKSON, G. R. 1996. The competition effect of Brachiaria decumbens on the early growth of direct-seeded trees of Alphitonia petriei in tropical North Australia. Biotropica 28:272276.Google Scholar
UHL, C., BUSCHBACHER, R. & SERRÃO, E. A. S. 1988. Abandoned pastures in Eastern Amazonia. I. Patterns of plant succession. Journal of Ecology 76:663681.Google Scholar
VELDMAN, J. W. & PUTZ, F. E. 2011. Grass-dominated vegetation, not species-diverse natural savanna, replaces degraded tropical forests on the southern edge of the Amazon Basin. Biological Conservation 144:14191429.Google Scholar
WILLIAMS, D. G. & BARUCH, Z. 2000. African grass invasion in the Americas: ecosystem consequences and the role of ecophysiology. Biological Invasions 2:123140.Google Scholar
ZIMMERMAN, J. K., PASCARELLA, J. B. & AIDE, T. M. 2000. Barriers to forest regeneration in an abandoned pasture in Puerto Rico. Restoration Ecology 8:350360.CrossRefGoogle Scholar
Figure 0

Figure 1. Spline regression models of grass abundance across eight pasture–mature forest transects (a) and eight pasture–secondary forest transects (b) in tropical dry forests in Ecuador. Distance denotes the relative distance of a sampled plot from the edge–interior transition point (or knot).

Figure 1

Table 1. Parameter estimates plus interactions in a stepwise spline regression of grass abundance across eight pasture–mature forest and eight pasture–secondary forest transects in tropical dry forests in Ecuador. P values indicate significance (only significant variables are shown). R2 indicates model goodness. Interior = transect section in mature or secondary forest. Exterior = transect section in pastureland. Distance = squared root of relative distance between edge-interior-knot and exterior/interior transect sections. Forest type = mature or secondary forest.