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Drone-based remote sensing is a promising new technology that combines the benefits of ground-based and satellite-derived forest monitoring by collecting fine-scale data over relatively large areas in a cost-effective manner. Here, we explore the potential of the GatorEye drone-lidar system to monitor tropical forest succession by canopy structural attributes including canopy height, spatial heterogeneity, gap fraction, leaf area density (LAD) vertical distribution, canopy Shannon index (an index of LAD), leaf area index (LAI), and understory LAI. We focus on these variables? relationship to aboveground biomass (AGB) stocks and species diversity. In the Caribbean lowlands of northeastern Costa Rica, we analyze nine tropical forests stands (seven secondgrowth and two old-growth). Stands were relatively homogenous in terms of canopy height and spatial heterogeneity, but not in their gap fraction. Neither species density nor tree community Shannon diversity index was significantly correlated with the canopy Shannon index. Canopy height, LAI, and AGB did not show a clear pattern as a function of forest age. However, gap fraction and spatial heterogeneity increased with forest age, whereas understory LAI decreased with forest age. Canopy height was strongly correlated with AGB. The heterogeneous mosaic created by successional forest patches across human-managed tropical landscapes can now be better characterized. Drone-lidar systems offer the opportunity to improve assessment of forest recovery and develop general mechanistic carbon sequestration models that can be rapidly deployed to specific sites, an essential step for monitoring progress within the UN Decade on Ecosystem Restoration. Made available in DSpace on 2020-08-01T11:12:46Z (GMT). No. of bitstreams: 1 27015.pdf: 1386408 bytes, checksum: cce9ebab5fed640e715ad6387e973c5a (MD5) Previous issue date: 2020

Forest regeneration at large-scales is one of the main paths to achieving the ongoing ambitious restoration commitments. Thus, the identification of the main drivers of this process in agricultural landscapes is critical to understand the drivers determining restoration success. A growing number of studies have explored the biophysical and, less often, the socioeconomic drivers of forest regeneration using remote sensing approaches, but have not directly considered the influence of farmers’ decisions in spatial prediction models of forest regeneration. We explored the influence of biophysical and socioeconomic drivers on forest regeneration in a rural landscape of Southeastern Brazil, where native forest cover increased by 7.7%. We evaluated forest regeneration through the analysis of time series of multi-temporal satellite images and socioeconomic information obtained through a Social Survey with 47 landowners, using each farm as the study unit. Natural forest regeneration was mainly favored by lower land suitability for agriculture and higher proximity (lower distances) to forest remnants, as well by higher numbers of land-uses types in the farm and lower economic dependence of landowners from the farm income. Our results emphasize the importance of considering farmers’ decisions on predictive models of natural forest regeneration, which are critically needed to guide the implementation of large-scale forest restoration initiatives in agricultural landscapes.

Forest restoration is being scaled up globally to deliver critical ecosystem services and biodiversity benefits; however, there is a lack of rigorous comparison of cobenefit delivery across different restoration approaches. Through global synthesis, we used 25,950 matched data pairs from 264 studies in 53 countries to assess how delivery of climate, soil, water, and wood production services, in addition to biodiversity, compares across a range of tree plantations and native forests. Benefits of aboveground carbon storage, water provisioning, and especially soil erosion control and biodiversity are better delivered by native forests, with compositionally simpler, younger plantations in drier regions performing particularly poorly. However, plantations exhibit an advantage in wood production. These results underscore important trade-offs among environmental and production goals that policy-makers must navigate in meeting forest restoration commitments.

Technical reclamation and spontaneous succession (passive restoration) are the two main approaches for restoring post-mining sites worldwide. Despite substantial differences between both approaches, little is known regarding how they differ in terms of ecological outcomes. We assessed and compared the vegetation structure and composition in one spontaneous succession forest that is 29 years old, two technically reclaimed forests that are 2 and 10 years old after alluvial gold mining, and one old-growth reference forest in northeastern Antioquia, Colombia. We sampled trees and saplings establishing three Modified-Whittaker Plots in each site. We measured tree basal area, canopy cover, vegetation height, tree density, and species richness. Vegetation structure and composition differed considerably among restoration approaches. Species richness was significantly greater in the spontaneous succession forest than at the other sites. Similarly, technical reclamation significantly increased the vegetation attributes after 10 years, reaching values similar to the reference forest. We underscore the importance of fast-growth planted species (Acacia mangium, Samanea saman, and Schizolobium parahyba) to revegetate mining degraded lands. Resumen Mundialmente, la recuperación técnica y la sucesión espontánea (restauración pasiva) son los dos principales enfoques para restaurar áreas post-minería. A pesar de las diferencias sustanciales entre ambos enfoques, sabemos poco sobre cómo difieren en términos de resultados ecológicos. Evaluamos y comparamos la estructura y composición de la vegetación en un bosque con sucesión espontánea con 29 años, dos bosques técnicamente recuperados que tienen 2 y 10 años después de la extracción de oro aluvial, y un bosque de referencia en el noreste de Antioquia, Colombia. En cada sitio establecimos tres parcelas tipo Whittaker modificadas. Medimos el área basal de los árboles, cobertura del dosel, altura de la vegetación, densidad de árboles y riqueza de especies. La estructura y composición de la vegetación difirieron considerablemente entre los enfoques de restauración. La riqueza de especies fue significativamente mayor en el bosque de sucesión espontánea. Asimismo, la recuperación técnica incrementó significativamente los atributos de la vegetación. Adicionalmente, destacamos la importancia de las especies plantadas de rápido crecimiento (Acacia mangium, Samanea saman y Schizolobium parahyba) para revegetar zonas mineras degradadas.

The UN Decade on Ecosystem Restoration is focussing attention and resources on restoration globally. Nowhere is this more crucial than in tropical forests that harbor immense biodiversity, but have also undergone widespread deforestation over the past few decades. We performed a meta-analysis to investigate how biodiversity features respond to forest restoration across the Brazilian Atlantic Forest (BAF), one of the most threatened biodiversity hotspots in the world. We assembled biodiversity in different metrics of structure and diversity features of three taxonomic groups (vascular plants, soil microorganisms, and invertebrates), generating a dataset with 2370 observations from 76 primary studies. We quantified the incomplete recovery of biodiversity (i.e., the rate of recovery to a pre-disturbance state) occurring during the restoration process, which we called the 'recovery gap'. Our results revealed that forests undergoing restoration in the BAF show a recovery gap of 34% for structure features and 22% for diversity features in comparison to reference reforests, considering all taxonomic groups investigated. For vascular plants, soil microorganisms, and invertebrates the recovery gap ranged between 46 and 47%, 16-26%, and 4-7%, respectively. Overall, the recovery gap was influenced by the interaction of restoration actions (i.e., the past land use, restoration age and restoration approach - active and passive restoration), however, structure features responded more sensitively to the time elapsed since restoration started, while the recovery gap for diversity features depended more on the past land-use. Our study can help guide the prioritization of the aforenamed taxonomic groups in restoration, the regulation of potential biodiversity offsetting policies in the BAF, and understanding how coupled biodiversity features respond to the interaction of environmental conditions and restoration actions in a high fragmented tropical landscape.

Aim Applying wide and effective sampling of animal communities is rarely possible due to the associated costs and the use of techniques that are not always efficient. Thus, many areas have a faunistic hidden diversity we denote Animal Dark Diversity (ADD), defined as the diversity that is present but not yet detected plus the diversity defined by Pärtel et al. (2011) that is not (yet) present despite the area’s favourable habitat conditions. We evaluated different species distribution model types (SDM techniques) on the basis of three requirements for ADD estimate reliability: 1) estimated spatial patterns of ADD do not differ significantly from other SDM techniques; 2) good predictive performances; and 3) low overfitting. Location Iberian Peninsula. Taxon Chiroptera and Noctuoidea (Lepidoptera) Methods We used distribution data for 25 species of bats and 352 species of moths. We evaluated eleven SDM techniques using biomod2 package implemented in the R software environment. We fitted the various SDM techniques to the data for each species and compared the resulting ADD estimates for the two animal groups under three threshold types. Results The results demonstrated that estimated ADD spatial patterns vary significantly between SDM techniques and depend on the threshold type. They also showed that SDM techniques with overfitting tend to generate smaller ADD sizes, thus reducing the possible species presence estimates. Among the SDMs studied, the ensemble models delivered ADD geographic patterns more like the other techniques while also presenting a high predictive performance for both faunal groups. However, the Ensemble Model Committee Average (ECA) performed much better on the sensitivity metric than all other techniques under any of the thresholds tested. In addition, ECA stood out clearly from the other ensemble model techniques in displaying low-medium overfitting. Main conclusions SDM techniques should no differ among each other in their ADD estimations, have good predictive performances and exhibit low overfitting. Furthermore, to reduce estimate uncertainty it is suggested that the threshold type be one that transforms high values of presences probabilities into binary information and furthermore that the SDM technique have a sensitivity bias, as otherwise the estimates will perform better for species absence in cases where it is not in fact known whether a species is truly absent.

Infiltration is one of the most important hydrological processes in ecosystems, having important influence on soil erosion control and runoff, soil moisture content and groundwater recharge. This is particularly important considering the recent growing number of restoration initiatives worldwide encouraging forest cover expansion, mainly by tree planting. Here, we conducted a systematic review of scientific literature reporting infiltration measurements in forests restored by tree planting in the tropics and subtropics. We found 11 studies representing 67 data comparisons in eight countries. Overall results indicate that infiltration increases but is not fully recovered to reference conditions in forests restored by tree planting. Recovery of infiltration varied depending on land-use, soil texture and restoration age. Recovery of infiltration was higher for cultivated than for pastures and bare soils. Clayey soils had higher infiltration recovery than sandy soils. Our findings identified some knowledge gaps that should be addressed to improve our understanding of when and why tree planting to restore forests may promote the recovery of infiltration in tropical and subtropical soils. First, information about recovery of infiltration capacities when using tree planting for forest restoration results are scarce. Second, infiltration in restored forests should be monitored over time, including long-term studies and measurements on water movement through the soil profile and evaluating potential interactions between infiltration and soil attributes. Details on the effects that different forest restoration techniques (e.g., soil preparation, tree species diversity and densities) could have on infiltration is virtually unknown. Information on the influence of disturbance level on infiltration prior to tree planting is also severely lacking.

We are in an unprecedented moment for promoting forest restoration globally, with international and regional pledges to restore at least 350 million hectares by 2030. To achieve these ambitious goals, it is necessary to go beyond traditional plot-scale assessments and develop cost-effective technologies that can monitor the structure and function of restored forests at much broader scales. Lidar remote sensing in unmanned aerial vehicle (UAV) platforms can be an agile and autonomous method for monitoring forest restoration projects, especially under conditions when information updates are frequently needed in relatively small areas or, when using an airplane-borne lidar system may be not financially viable. Here, we explored the potential of an UAV-borne lidar system to assess the outcomes of a mixed-species restoration plantation experiment, designed to maximize aboveground biomass (AGB) accumulation. The experiment was established in Brazil’s Atlantic Forest, with 20 native tree species, by combining two levels of planting density and two management levels, totaling four treatment combinations and one control (plots left over for natural regeneration). We analyzed three structural variables from lidar data (canopy height, gap fraction and leaf area index) and one from field inventory data (AGB). Structural differences between the treatments and the control plots were reliably distinguished by the UAV-borne lidar system. AGB was strongly correlated with canopy height, allowing us to elaborate a predictive equation to use the UAV-borne lidar system for monitoring structural features in other restoration plantations in the region. UAV-borne lidar systems showed enormous potential for monitoring relatively broad-scale (thousands of hectares) forest restoration projects, providing an important tool to aid decision making and accountability in forest landscape restoration.

Natural regeneration has been proposed as a cost-effective forest restoration approach for both small and large-scale initiatives. However, attributes for assessing the success of forest restoration through natural regeneration may vary among them in spatial patterns depending on the scale of analysis and on environmental gradients. Here we analysed the spatial patterns of recovery completeness (i.e. how similar attributes in restored forests are to the same attributes in reference forests) in response to environmental factors in a Mediterranean forest landscape of Central Chile. We evaluated (1) forest recovery completeness using basal area (BA), quadratic mean diameter (QMD), adult species density (ASD), adult species richness (ASR), and seedling species richness (SSR); (2) the spatial congruence of recovery completeness estimated by each of these indicators; and (3) the environmental factors potentially shaping these spatial patterns. We used field measurements and geospatial information sources to quantify and predict indicator responses by fitting boosted regression tree models. To assess the spatial congruence of predictions we overlaid high-level recovery completeness values for all indicators. Overall recovery completeness in the study area was 72.7%, suggesting positive prospects for attaining fully restored forests. Recovery completeness had a resulted higher for diversity (92.3%-99.6%) than structural forest attributes (33.5%-76.9%); however, spatial congruence among recovery indicators was low due to the uneven spatial responses of each indicator. The maximum potential spatial congruence was, Universidad de La Frontera, Fundación de Apoyo a la Investigación del Estado de Sao Paulo

Ambitious pledges to restore over 400 million hectares of degraded lands by 2030 have been made by several countries within the Global Partnership for Forest Landscape Restoration (FLR). Monitoring restoration outcomes at this scale requires cost-effective methods to quantify not only forest cover, but also forest structure and the diversity of useful species. Here we obtain and analyze structural attributes of forest canopies undergoing restoration in the Atlantic Forest of Brazil using a portable ground lidar remote sensing device as a proxy for airborne laser scanners. We assess the ability of these attributes to distinguish forest cover types, to estimate aboveground dry woody biomass (AGB) and to estimate tree species diversity (Shannon index and richness). A set of six canopy structure attributes were able to classify five cover types with an overall accuracy of 75%, increasing to 87% when combining two secondary forest classes. Canopy height and the unprecedented “leaf area height volume” (a cumulative product of canopy height and vegetation density) were good predictors of AGB. An index based on the height and evenness of the leaf area density profile was weakly related to the Shannon Index of tree species diversity and showed no relationship to species richness or to change in species composition. These findings illustrate the potential and limitations of lidar remote sensing for monitoring compliance of FLR goals of landscape multifunctionality, beyond a simple assessment of forest cover gain and loss.

The ambitious restoration commitments made by Latin American countries have increased the demand for professionals having multidimensional training in ecological restoration; however, little is known about the kind of training that professionals are currently receiving. Through an online survey, we explored whether restoration professionals in Latin America have been trained on the ecological, socioeconomic, and management dimensions of ecological restoration, and their perceptions of training constraints and curricula needs. Half of the 411 respondents simultaneously work in academia, governments, and nongovernmental organizations, lessening the typical division between the science and practice of restoration, and suggesting the need for stronger multidimensional training to adequately respond to different needs and expectations. Over 80% received formal academic training in fields relevant for restoration and most respondents also reported attending interdisciplinary courses. Training was more focused on the ecological dimension of restoration compared to socioeconomic or management dimensions. Respondents have similar education levels (i.e. most respondents have postgraduate degrees), independently from the organization type in which respondents work, and multidimensionality among organization types was slight. Professionals expressed a need for training opportunities not demanding full-time dedication. Although increasing training opportunities in socioeconomic and management dimensions is needed, we highlight opportunities to reinforce multidimensional training on restoration through organizational and institutional training, and collaborations among organizations.

The knowledge of soil indicators during forest restoration is essential for understanding the recovery of ecosystem functions such as biomass production and water regulation. Despite this importance, in most restoration programs over the world, the soil remains under‐investigated. Here, we conducted a systematic literature review in order to determine: (1) the extent to which soil indicators are monitored during forest restoration in Colombia; (2) the type of soil indicators (e.g. physical, chemical, or biological) that are used for the monitoring; and (3) the regions where soil indicators are measured. We found 34 studies that report soil indicators. The most frequently studied restoration sites were 0–5 years old (36%). The majority (71%) of the studies only measured the soil characteristics at the topsoil. Soil sodium (Na) and phosphorus (P) concentrations were the most common chemical soil indicators reported by the studies. Soil biological indicators were the least frequently reported indicators. The studies rarely reported soil indicators that affect water movement directly. Of the retrieved studies, most included information about old‐growth forests (63%) or degraded sites (56%) for comparisons with forests undergoing restoration. Based on these results we provide recommendations for monitoring soil characteristics to assess the effectiveness of forest restoration projects in Colombia, and other tropical countries.

Forest and landscape restoration is a promising strategy for improving water, energy and food securities. We advocate that ‘forest security’ should form a fourth, foundational dimension of a novel water, energy, food and forest security nexus framework. Key principles of this new framework support an integrated role of forests in sustainable development, and engagement of local communities in nature-based solutions, particularly in the Global South. We believe that this new approach can help to accelerate the pace and magnitude of changes needed for achieving the United Nations Sustainable Development Goals. The water–energy–food nexus has provided a framework for comprehensive analysis, but this Perspective argues for adding forest studies to better integrate the needs and ecosystems of smallholders, especially in the Global South.

Promoting diversity is core for ecological restoration. Restoration projects often quantify biological diversity as a measure of success, but generally overlook human diversity, including gender issues, which have not been sufficiently considered in restoration planning, implementation, and monitoring. Here, we justify the need to consider gender equality in ecological restoration and offer guidance on adopting gender-responsive approaches. Gender equality should be considered both a driver and a measure of success and will play a central role to leverage the contributions of restoration to the United Nations' Sustainable Development Goals and of women to its Decade on Ecosystem Restoration. We finally recommend that the International Principles and Standards for the Practice of Ecological Restoration are amended to include a gender-responsive perspective in its recommendations.

Understanding of people&rsquo, 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&rsquo, 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 &plusmn, 1.1) than aerial (3.7 &plusmn, 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.

In restoration science, evidence reviews play a crucial role in summarizing research findings in practice and policy. However, if unreliable or inappropriate methods are used to review evidence, decisions based on these reviews may not accurately reflect the available evidence base. To assess the current value of restoration reviews, we examined a sample of meta-analyses and narrative syntheses (n = 91) with the Collaboration for Environmental Evidence Synthesis Assessment Tool (CEESAT), which uses detailed criteria to assesses the method of policy-relevant evidence synthesis according to elements important for objectivity, transparency, and comprehensiveness. Overall, reviews scored low based on this standard: median score 16 out of 39, modal score 15, and mean 16.6. Meta-analyses scored higher than narrative syntheses (median 17 vs. 5, respectively), although there were some outlier narrative syntheses that had high scores, suggesting that quantitative synthesis does not solely reflect the reliability of a review. In general, criteria spanning the more fundamental review stages (i.e., searching for studies and including studies) received low scores for both synthesis types. Conversely, criteria comprising the later stages of the review (i.e., critical appraisal, data extraction, and data synthesis) were generally well described in meta-analyses; thus, these criteria achieved the highest individual CEESAT scores. We argue that restoration ecology is well positioned to advance so-called evidence-based restoration, but review authors should elucidate their conceptual understanding of evidence syntheses and recognize that conducting reliable reviews demands the same methodological rigor and reporting standards used in primary research. Given the potential of evidence reviews to inform management, policy, and research, it is of vital importance that the overall methodological reliability of restoration reviews be improved.Confiabilidad de los Métodos de Revisión de Evidencias en la Ecología de Restauración Resumen Para las ciencias de la restauración, las revisiones de evidencias juegan un papel muy importante en la síntesis de los hallazgos de las investigaciones en la práctica y en las políticas. Sin embargo, si se usan métodos poco fiables o inapropiados para revisar las evidencias, las decisiones que se tomen con base en estas revisiones pueden no reflejar acertadamente la base disponible de evidencias. Para analizar el valor actual de las revisiones de restauraciones examinamos una muestra de metaanálisis y síntesis narrativas (n = 91) con la Herramienta para la Síntesis de Análisis de la Colaboración para la Evidencia Ambiental (CEESAT), la cual usa criterios detallados para analizar el método de síntesis de evidencias relevantes para las políticas de acuerdo con los elementos importantes para la objetividad, transparencia y exhaustividad. En general, las revisiones tuvieron puntajes bajos con base en este estándar (puntaje medio: 16 de 39, puntaje modal: 15, media: 16.6). Los metaanálisis tuvieron un puntaje más alto que las síntesis narrativas (mediana: 17 vs 5, respectivamente), aunque hubo algunas síntesis narrativas atípicas que tuvieron puntajes altos, lo que sugiere que la síntesis cuantitativa no refleja por sí sola la confiabilidad de una revisión. En suma, los criterios que abarcaron las etapas de revisión más fundamentales (es decir, buscar estudios e incluir estudios) recibieron puntajes bajos para ambos tipos de síntesis. Al contrario, los criterios que comprendieron las etapas tardías de la revisión (es decir, la valoración crítica, la extracción de datos y la síntesis de los datos) estuvieron generalmente bien descritos en los metaanálisis; por lo tanto, estos criterios alcanzaron los puntajes CEESAT individuales más altos. Argumentamos que la ecología de restauración se encuentra bien posicionada para adelantar la llamada restauración basada en evidencias, pero los autores de las revisiones deberían aclarar su entendimiento conceptual de la síntesis de evidencias y reconocer que la realización de revisiones confiables requiere el mismo rigor metodológico y los mismos estándares de reporte usados en la investigación primaria. Dado el potencial que tienen las revisiones de evidencias para orientar el manejo, las políticas y la investigación, es de vital importancia que se mejore la confiabilidad metodológica generalizada de las revisiones de restauración.

International audience; Potential time lags between human-mediated disturbances and the subsequent responses of ecosystems are critical for planning and implementing conservation and restoration actions. In this context, decoupling between the temporal trajectories of ecosystems structure and functions is particularly critical. Here, we stand out the need to differentiate the temporal trajectories of ecosystem structure and functions to be considered in ecological restoration programs. In cases when ecosystem functions persist after the degradation of the ecosystem structure, and when functions do not recover at the same rate as structure, some kind of ecosystem functioning credits or debts can occur. In other situations, an ongoing loss of the ecosystem function can occur even in the absence of further disturbance. Ecosystem restoration outcomes could be optimized in regions with ecosystem functioning credit, since mitigating the decline in functioning will be more efficient than recovering functions in highly degraded conditions. Ecological restoration programs should not only focus on structurederived indicators but they should also consider the dynamics of ecosystem functions to guide land-planning decisionmaking.

International audience; Remote sensors, onboard orbital platforms, aircraft, or unmanned aerial vehicles (UAVs) have emerged as a promising technology to enhance our understanding of changes in ecosystem composition, structure, and function of forests, offering multi-scale monitoring of forest restoration. UAV systems can generate high-resolution images that provide accurate information on forest ecosystems to aid decision-making in restoration projects. However, UAV technological advances have outpaced practical application; thus, we explored combining UAV-borne lidar and hyperspectral data to evaluate the diversity and structure of restoration plantings. We developed novel analytical approaches to assess twelve 13-year-old restoration plots experimentally established with 20, 60 or 120 native tree species in the Brazilian Atlantic Forest. We assessed (1) the congruence and complementarity of lidar and hyperspectral-derived variables, (2) their ability to distinguish tree richness levels and (3) their ability to predict aboveground biomass (AGB). We analyzed three structural attributes derived from lidar data—canopy height, leaf area index (LAI), and understory LAI—and eighteen variables derived from hyperspectral data—15 vegetation indices (VIs), two components of the minimum noise fraction (related to spectral composition) and the spectral angle (related to spectral variability). We found that VIs were positively correlated with LAI for low LAI values, but stabilized for LAI greater than 2 m2/m2. LAI and structural VIs increased with increasing species richness, and hyperspectral variability was significantly related to species richness. While lidar-derived canopy height better predicted AGB than hyperspectral-derived VIs, it was the fusion of UAV-borne hyperspectral and lidar data that allowed effective co-monitoring of both forest structural attributes and tree diversity in restoration plantings. Furthermore, considering lidar and hyperspectral data together more broadly supported the expectations of biodiversity theory, showing that diversity enhanced biomass capture and canopy functional attributes in restoration. The use of UAV-borne remote sensors can play an essential role during the UN Decade of Ecosystem Restoration, which requires detailed forest monitoring on an unprecedented scale.

Ecological functions, including pollination services, can be successfully restored in degraded ecosystems. In this study we propose a procedure for selection of target species to be employed in the restoration of plant-pollinator interactions in agricultural landscapes, which is illustrated by a case study located in the Tandilia System, in the Southern Pampa grasslands of Argentina. Based on information from a large pollination network dataset of 12 hills, composed of 172 pollinators and 96 plants (metaweb), we identified the plant species playing a major role in the maintenance of pollination mutualisms. We obtained a ranking of interaction frequency for each of the 96 plant species of the metaweb, and selected native plants that received more than 100 individual flower visitors. The targeted species were evaluated using ten criteria related to ecological, technical and cultural characteristics, and then ranked according to their suitability for use in restoration projects (species rank, SR). From the total number of plant species (96) registered for all sampled hills, we identified a total of 24 plant species that represented 90% of the total interactions and 25% of the plant species recorded in the metaweb. Six of the 24 selected species were excluded since they were non-native, leaving 18 targeted native plant species. The SR value ranged between 2.68 and 8, with a mean of 4.63 ± 1.40. Two genera presented the highest SR values (Eryngium sp. and Baccharis sp.), and are recognized as potential candidates for restoration of other ecosystems. A rank that evaluates plant species capable of rehabilitating plant-pollinator interactions will form a solid basis for planning restoration projects, which are crucial for biodiversity rehabilitation and conservation.

"Antecedentes : Marqués de Comillas en la Selva Lacandona, Chiapas, ha sido afectado por el cambio de uso de suelo y en la actualidad presenta un paisaje fragmentado. Objetivos : Determinar la diversidad de especies y abundancia de esporas de hongos micorrizógenos arbusculares en sitios en distintas etapas de regeneración de la selva en las temporadas seca y de lluvias en este municipio. Métodos : Se recolectaron cinco muestras de suelo al azar en cada uno de 12 sitios en cada temporada (total 120 muestras). Resultados y conclusiones : Se identificaron 49 especies pertenecientes a 15 géneros. Dominikia minuta y Glomus insculptum se repor - taron por primera vez para México. Acaulospora , Glomus y Ambispora fueron los géneros más abundantes . La diversidad y la equi - tabilidad de especies fueron mayores en sitios de etapas más tardías en la sucesión para ambas temporadas. Durante la temporada de secas los sitios compartieron el 40% de las especies, mientras que durante la temporada de lluvias sólo compartieron el 30%. Un análisis de varianza determinó que la abundancia de esporas fue mayor en los sitios tempranos de regeneración. La variación en la comunidad de hongos micorrizógenos arbusculares dependió del estadio de regeneración del sitio y marginalmente de los cambios estacionales."

Background. Human impact over natural ecosystems located in Southern Mexico is increasingly evident. We generated a spatially explicit land use and cover change (LUCC) model to assess current and potential impact of human activities and to identify the influence of variables such as: distance to paved and unpaved roads, human settlements, rivers, slope and protected areas. Study site. Mesoamerican Biological Corridor located in the state of Chiapas (MBC-Ch), Mexico. Methods. We calibrated a model for the period 1993-2002 and ran a simulation for 2007 which we compared against the real 2007 land use and cover map to evaluate model’s performance. We then projected LUCC to 2030 under three different scenarios: 1) Agriculture and Livestock (AGL), 2) Business As Usual (BAU) and, 3) Conservation (CON). Results. Proximity to roads and settlements increased deforestation probabilities whereas the presence of natural protected areas had the opposite effect. The AGL scenario predicted a reduction of 43 % and 41 % in the extent of closed tropical and temperate forests, respectively. In comparison, the BAU scenario predicted a reduction of 19.5 % in the area covered by closed tropical forest and of 30.1 % in temperate forests. The extent of land destined to farming and forestry increased by 22 % and 15 % in the AGL and BAU scenarios, respectively. In contrast, the CON scenario predicted slight changes in the landscape. Conclusions. Our simulations indicate that it is highly probable to see a marked decay in the extent (and likely integrity) of natural habitats in the MBC-Ch region if a comprehensive series of management actions are not urgently implemented.

International audience; We welcome the opportunity to further discuss our analysis and conclusions [1] that Larkin et al.'s [2] (hereafter LEA) comment provides. In this response, we first discuss mischaracterizations and criticisms of our analyses, then highlight how the main conclusions from both LEA's and our analyses are similar, and end with further discussion of what both analyses suggest for restoration and conservation moving forward.LEA contend that the response ratio is ‘fundamentally flawed’; given its prominence in the restoration [3–5] and meta-analysis literatures [6–8], we suggest that the matter of its usefulness or lack thereof is far from settled and leave it to meta-analysis statisticians to discuss its utility. For those interested, both LEA and we consulted with meta-analysis statisticians who came to different conclusions (see published reviews of LEA's comment). We further direct readers to the reviews of LEA's comment for a more in-depth response to their criticisms on the choice of variables to calculate response ratios, of how to treat response ratios that overshoot recovery goals, exclusion of invasive species disturbances, and of minimal sample size calculations.

Mensajes principalesLa capacitacion multidimensional dirigida a los profesionales de la restauracion en America Latina ha avanzado notablemente en los ultimos diez anos, aunque todavia se concentra en la dimension ecologica.La participacion frecuente de los profesionales de la restauracion en diferentes tipos de organizaciones refuerza la necesidad de capacitacion multidimensional en America Latina.Las diferencias en la capacitacion de los profesionales en las distintas dimensiones de la restauracion resaltan la necesidad de crear equipos en los que se incluya una variedad de partes interesadas que complementen sus capacidades individuales.El fortalecimiento de la capacitacion organizacional e institucional resulta crucial para reforzar las habilidades profesionales en restauracion ecologica.

Forest and landscape restoration (FLR) could benefit from the land sharing/sparing approaches to support decisions. We discuss four questions potentially shaping FLR outcomes in agricultural landscapes in the context of land sharing/sparing decisions: (1) Which are the main focuses of restorative interventions?; (2) Which kind of restored forests should these interventions target?; (3) Which restorative interventions should be implemented and where?; and (4) What are the major factors influencing restoration outcomes? Some restorative interventions embraced by FLR may compete with specific land uses and thus require careful planning to minimize trade-offs and maximize synergies. Decision making on the restorative intervention combination needs considering the spatial distribution and configuration of the final land uses in the landscape together with its social context and a multi-stakeholder process. Ultimately, finding the right balance between land sharing/sparing approaches will also require navigating governance issues that regulate FLR implementation., Gobierno de Madrid, REMEDINAL, Ministerio de Ciencia e Innovación, São Paulo Research Foundation (FAPESP), National Council for Scientific and Technological Development of Brazil (CNPq)

Limited funding is a major barrier to implementing ambitious global restoration commitments, so reducing restoration costs is essential to upscale restoration. The lack of rigorous analyses about the major components and drivers of restoration costs limit the development of alternatives to reduce costs and the selection of the most cost-effective methods to achieve restoration goals. We conducted detailed restoration cost assessments for the three most widespread biomes in Brazil (Amazon, Cerrado, and Atlantic Forest) and estimated the restoration costs associated with implementing Brazil’s National Plan for Native Vegetation Recovery (12M hectares). Most surveys (60–90%) reported using the costly methods of planting seedlings or sowing seeds throughout the site, regardless of the biome. Natural regeneration and assisted regeneration approaches were an order of magnitude cheaper but were reported in

Public urban green spaces provide people with many benefits. Understanding the relationship between public urban green spaces’ characteristics and human well-being components may assist in future planning and design of these spaces. This study performed a systematic bibliographic review to analyse the relationships between green spaces' specific characteristics and human well-being components. The green spaces characteristics found in 153 articles were divided in four groups: structure, biodiversity, naturalness, and others; while dimensions of human well-being were divided into four groups: health, security, good social relations, and freedom of choice and action. The number of green spaces and their percentage of vegetation cover and size (structure category) improved human well-being, in all aspects, especially in health. Structure and biodiversity are the characteristics most highly rated in the literature. These green spaces’ biodiversity and naturalness contribute to human well-being through improvements in health (particularly mental health) and good social relations. The most frequently methods used to assess the relationship of public urban green spaces and human well-being are mainly oriented towards studying perception of the green space’s users. This result highlights an opportunity to assess the congruence between methods evaluating perception and objective measurement. Our findings may provide tools for decision-makers to integrate green spaces into planning, identifying specific characteristics of public urban green spaces that promote human well-being and to face climate change.

Restoration of plant-pollinator interaction has emerged as a critical issue in the maintenance of resilient and healthy ecosystems. However, some challenges remain, such as integrating ecological and practical information in plant species' choices to restore mutualistic interactions. We present a case-based experience that combines ecological information (i.e., plant attractiveness to pollinators as a ranking of the interaction frequency and the species richness of interacting pollinators) and practical information (i.e., ease-of-restoration) to prioritise species for the restoration of pollination. We explore the importance of a set of 18 native plant species in the Argentinian Pampa grasslands. The selected species, representing 19% of the plant species present in the study system's pollination webs, were visited by 93% of the total insect pollinator species registered, which belonged to the most abundant and diverse entomophile plant families in the region. As could be expected, the plant species prioritised for restoring pollination interactions seemed to depend more on ecological (plant attractiveness to pollinators) than practical (ease-of-restoration) information. However, the practical information identified some critical species that may be difficult to propagate and introduce and are therefore unsuitable despite their ecological importance. This ecological and practical information may help prioritise plant species used to restore an essential but neglected ecosystem. We hope this practical case study will guide the planning of restoration projects for biodiversity conservation, contributing to sustaining the grassland biome’s ecosystem functions.