ABSTRACT
A common method in ecological restoration is the transplanting of nursery-grown seedlings to the field and, with proper resources, this technique can be highly successful. However, stressors such as drought may negatively impact plant performance and restoration success, especially in dryland ecosystems. Furthermore, increasing environmental change may hamper the ability of practitioners to restore native vegetation. A growing body of research suggests that exposing plants to a stressor may improve tolerance to subsequent stress events later in life. We sought to understand if such a phenomenon could be exploited in order to improve plant drought-tolerance and aid native plant restoration in southern California. In a multi-phase experiment, we first exposed seedlings of native perennials to episodic drought and then later compared the response of these plants to a second drought event to that of well-watered controls. We also transplanted replicates of both treatments to a restoration site in the field to test whether exposure to drought as a seedling could improve plant performance. Plant species responded to drought differently, with species exhibiting the full range of positive, neutral, and negative responses to temporal variability in water stress. However, some species appeared to benefit from drought preconditioning, exhibiting greater growth and increased water-use efficiency compared to well-watered plants. This suggests that simple applications of stress treatments could improve plant growth and stress tolerance, but the success of this method is likely very species specific. Restoration practitioners should consider conducting pilot studies with target plant species to better understand if this technique could assist in achieving restoration goals.
Subject(s)
Droughts , Ecosystem , California , Plants , SeedlingsABSTRACT
Los bosques de Polylepis son recursos vitales para la conservación de la biodiversidad y funciones hidrológicas, la cual se verá alterada por el cambio climático a nivel mundial desafiando la sostenibilidad de las comunidades locales. Sin embargo, estos ecosistemas andinos de gran altitud son cada vez más vulnerables debido a la presión antropogénica como la fragmentación, deforestación y el incremento en el ganado. La importancia para predecir la distribución de bosques nativos ha aumentado para contrarrestar los efectos negativos del cambio climático a través de la conservación y la reforestación. El objetivo de este estudio fue desarrollar y analizar los modelos de distribución de dos especies, Polylepis sericea y P. besseri, que forman bosques extensos a lo largo de los Andes. Este estudio utilizó el programa Maxent, el clima y capas ambientales de una resolución de 1 Km. El modelo de distribución previsto para P. sericea indica que la especie podría estar situada en una variedad de hábitats a lo largo de la Cordillera de los Andes, mientras que P. besseri se limitaba a las grandes alturas del sur de Perú y Bolivia. Para ambas especies, los metros de elevación y la temperatura son los factores más importantes para la distribución prevista. El perfeccionamiento del modelo de Polylepis y otras especies andinas utilizando datos de satélites cada vez más disponibles al público demuestran el potencial para ayudar a definir las áreas de diversidad y mejorar las estrategias de conservación en los Andes.
Polylepis woodlands are a vital resource for preserving biodiversity and hydrological functions, which will be altered by climate change and challenge the sustainability of local human communities. However, these high-altitude Andean ecosystems are becoming increasingly vulnerable due to anthropogenic pressure including fragmentation, deforestation and the increase in livestock. Predicting the distribution of native woodlands has become increasingly important to counteract the negative effects of climate change through reforestation and conservation. The objective of this study was to develop and analyze the distribution models of two species that form extensive woodlands along the Andes, namely Polylepis sericea and P. weberbaueri. This study utilized the program Maxent, climate and remotely sensed environmental layers at 1 Km resolution. The predicted distribution model for P. sericea indicated that the species could be located in a variety of habitats along the Andean Cordillera, while P. weberbaueri was restricted to the high elevations of southern Peru and Bolivia. For both species, elevation and temperature metrics were the most significant factors for predicted distribution. Further model refinement of Polylepis and other Andean species using increasingly available satellite data demonstrate the potential to help define areas of diversity and improve conservation strategies for the Andes.
