Bullock, James M. 2020. Landscape restoration in a mixed agricultural-forest catchment: planning a buffer strip and hedgerow network in a Chilean biodiversity hotspot.Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner.

Distinguishing between natural forests from exotic tree plantations is essential to get an accurate picture of the world’s state of forests. Most exotic tree plantations support lower levels of biodiversity and have less potential for ecosystem services supply than natural forests, and differencing them is still a challenge using standard tools. We use a novel approach in south-central of Chile to differentiate tree cover dynamics among natural forests and exotic tree plantations. Chile has one of the world’s most competitive forestry industry and the region is a global biodiversity hotspot. Our collaborative visual interpretation method combined a global database of tree cover change, remote sensing from high-resolution satellite images and expert knowledge. By distinguishing exotic tree plantation and natural forest loss, we fit spatially explicit models to estimate tree-cover loss across 40 millions of ha between 2000 and 2016. We were able to distinguish natural forests from exotic tree plantations with an overall accuracy of 99% and predicted forest loss. Total tree cover loss was continuous over time, and the disaggregation revealed that 1 549 909 ha of tree plantations were lost (mean = 96 869 ha year−1), while 206 142 ha corresponded to natural forest loss (mean = 12 884 ha year−1). Mostly of tree plantations lost returned to be plantation (51%). Natural forests were converted mainly (75%) to transitional land covers (e.g. shrubland, bare land, grassland), and an important proportion of these may finish as tree plantation. This replacement may undermine objectives of increasedcarbon storage and biodiversity. Tree planting as a solution has gained increased attention in recen years with ambitious commitments to mitigate the effects of climate change. However, negative outcomes for the environment could result if strategies incentivize the replacement of natural forests into other land covers. Initiatives to reduce carbon emissions should encourage differentiating natural forests from exotic tree plantations and pay more attention on protecting and managing sustainably the former.

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In Chile, many aspects of the ecology of bats and their distribution are unknown, despite their ecological and economic importance. This situation does not allow a correct implementation of conservation efforts even when they are legally recognized as beneficial animals for agriculture. Here, we studied the bats' activity and community in two agricultural landscape types (homogeneous vs. heterogeneous) in a hotspot of biodiversity in the centre‐south of Chile. We monitored four transects of 10 km per landscape type with 10 listening points separated by 1 km. These transects were repeated 5 times, once per month. We evaluated the bats activity according to the forest cover type (native, mixed and plantations) and the isolated trees density. Our results showed that the heterogeneous landscape was dominated by T. brasiliensis while the homogeneous landscape was by Lasiurus spp. However, only the species T. brasiliensis was affected by the landscape type. In the heterogeneous landscape, only the forest cover variables had significance in the activity of the bat species, where Lasiurus spp. and M. chiloensis had a positive response for native and mixed forest, as well as Lasiurus spp. had a negative response for plantations. The density of isolated trees had a negative effect on the activity of T. brasiliensis and Lasiurus spp. in the homogeneous landscape type. Our results showed the importance of considering the forest elements in agroforestry landscape to conserve bat communities.

Understanding of people’s landscape preferences is important for decision-making about land planning, particularly in the disturbance patterns that usually occur in rural-urban gradients. However, the use of different types of images concerning the same landscape may influence social preferences and thus perceptions of landscape management and planning decisions. We evaluated landscape preferences and perceptions in four landscapes of southern Chile. We specifically: (1) compared people’s perceptions related to living in, visiting, the scenic beauty, well-being, risks, and level of landscape disturbance; and (2) evaluated the influence of the type of scene (i.e., eye-level or aerial images) in these preferences and perceptions. Preferences and perceptions resulted to be better when using eye-level (4.0 ± 1.1) than aerial (3.7 ± 0.6) images. In general, we observed a negative association between preferences and perceptions and the landscape disturbance; however, it was consistent when using aerial images but was masked when valuing landscape through eye-level images. Implications of these results are relevant because by far, most landscape preference studies use traditional eye-level images. Different types of scenes should be considered in order to embrace the landscape preferences and perceptions of all those involved and help decision-making in landscape planning.

ResumenA pesar de su importancia ecológica y económica, en Chile se desconocen muchos aspectos de la ecología de los murciélagos y de su distribución. Esta situación no permite una correcta implementación de los esfuerzos de conservación aún cuando son legalmente reconocidos por sus beneficios para la agricultura. En este trabajo estudiamos la actividad y la comunidad de murciélagos en dos tipos de paisaje agrícola (homogéneo vs. heterogéneo) en un hotspot de biodiversidad en el centro‐sur de Chile. Para ello, monitoreamos cuatro transectos de 10 km en cada tipo de paisaje, con 10 puntos de escucha separados por 1 km. Estos transectos se repitieron 5 veces, una vez al mes. Evaluamos la actividad de los murciélagos según el tipo de cobertura forestal (nativa, mixta y plantaciones) y la densidad de árboles aislados. Nuestros resultados mostraron que el paisaje heterogéneo fue dominado por Tadarida brasiliensis mientras que el paisaje homogéneo fue dominado por Lasiurus spp. Sin embargo, sólo la especie T. brasiliensis fue afectada por el tipo de paisaje. En el paisaje heterogéneo, sólo las variables de cobertura forestal tuvieron un impacto significativo en la actividad de las especies de murciélagos, donde Lasiurus spp. y Myotis chiloensis tuvieron una respuesta positiva para bosque nativo y mixto, así como Lasiurus spp. tuvo una respuesta negativa para plantaciones. La densidad de árboles aislados tuvo un efecto negativo sobre la actividad de T. brasiliensis y Lasiurus spp. en el tipo de paisaje homogéneo. Nuestros resultados muestran la importancia de considerar los elementos forestales en el paisaje agroforestal para conservar las comunidades de murciélagos.

Data collection from large areas of native forests poses a challenge. The present study aims at assessing the use of UAV for forest inventory on native forests in Southern Chile, and seeks to retrieve both stand and tree level attributes from forest canopy data. Data were collected from 14 plots (45 × 45 m) established at four locations representing unmanaged Chilean temperate forests: seven plots on secondary forests and seven plots on old-growth forests, including a total of 17 different native species. The imagery was captured using a fixed-wing airframe equipped with a regular RGB camera. We used the structure from motion and digital aerial photogrammetry techniques for data processing and combined machine learning methods based on boosted regression trees and mixed models. In total, 2136 trees were measured on the ground, from which 858 trees were visualized from the UAV imagery of the canopy, ranging from 26% to 88% of the measured trees in the field (mean = 45.7%, SD = 17.3), which represented between 70.6% and 96% of the total basal area of the plots (mean = 80.28%, SD = 7.7). Individual-tree diameter models based on remote sensing data were constructed with R2 = 0.85 and R2 = 0.66 based on BRT and mixed models, respectively. We found a strong relationship between canopy and ground data; however, we suggest that the best alternative was combining the use of both field-based and remotely sensed methods to achieve high accuracy estimations, particularly in complex structure forests (e.g., old-growth forests). Field inventories and UAV surveys provide accurate information at local scales and allow validation of large-scale applications of satellite imagery. Finally, in the future, increasing the accuracy of aerial surveys and monitoring is necessary to advance the development of local and regional allometric crown and DBH equations at the species level.