Forest restoration is receiving increased attention from many public and private actors, but few large-scale experiences exist. We explored 10 cases where forest cover had either increased or stabilized or where there was a significant drive towards forest expansion to understand which factors can facilitate the scaling up of forest restoration. We developed a data collection checklist to search the literature and we interviewed key informants. Our analysis identified 15 motivating factors for forest restoration, including the desire to mitigate land degradation, droughts or floods or to contribute to biodiversity conservation. We also identified some factors that facilitate the implementation of forest restoration, such as a supportive policy framework that includes forest restoration plans, financial incentives, truly collaborative arrangements, tenure rights to forests, trees and specific goods and services from these, the roles of specialized agencies, external stakeholders, local communities and local authorities. For restoration to be sustained, it is necessary to integrate it into national institutions, ensure sectoral integration across landscapes, ensure diversified and long-term financing and embed it in local institutions.

Protected areas (PAs) represent a powerful refuge for maintaining and safeguarding biodiversity. Generally, PAs are delineated to protect terrestrial taxa, providing incidental protection to the aquatic ecosystems within their borders. Here, we compare water quality within PAs and non-PAs in southern Brazil, encompassing remnants of the Atlantic Forest biome, to assess whether PAs serve as a buffer from external pressures for aquatic ecosystems within their boundaries. In addition to physicochemical and microbiological water parameters, we analysed 147 pesticide and 31 pharmaceutical compounds in water samples from 33 sites within and outside PAs. The water quality did not differ between PAs and non-PAs but indicated clear pollution from sewage discharges. We found 19 pesticides and five pharmaceuticals in streams within the study area. We detected pesticides in all sampling sites, with the herbicide 2,4-dichlorophenoxyacetic acid present in 91% of them. Our data show that PAs are insufficient means to mitigate the impacts stemming from their catchments, and the running water that reaches their domains already shows signs of anthropogenic interference, which may affect aquatic biodiversity. Protection and management measures require consideration of the whole watershed to protect freshwater habitats and biota.

The Brazilian Legal Amazon contains important reservoirs of forest that are threatened by stakeholders’ behaviour. The Cadastro Ambiental Rural (CAR; Rural Environmental Registry) database was used to define the limits and classes of landowner according to private property size. For each class, we identified the annual forest-cover/cover-loss profile at 2-year intervals from 2000 to 2020 based on Brazilian Annual Land Use and Land Cover Mapping Project (MapBiomas) and Program for Deforestation Monitoring (PRODES) data. The analysis revealed that very large landowners dominate the CAR-registered area and that deforestation is influenced by landowner type. The cumulative contributions to deforestation were 2 916 245.96, 1 234 216.79, 2 871 400.36, 2 805 058.62 and 2 637 485.60 ha for very large landowners, large landowners, medium landowners, small landowners and very small landowners, respectively. Very large landowners (1.7% of the total number of properties) had more forest on their properties but caused the greatest amount of deforestation in total, often associated with agribusiness. Small and very small landowners were more numerous (21.0% and 68.3% of the total number of properties, respectively), but they owned a small total area and contributed less to total deforestation. Property size and landownership asymmetry should be considered in deforestation control policies and commitments to the Sustainable Development Goals agenda.

Cities are becoming increasingly important to biodiversity conservation, conservation that could also benefit urban people given the importance of nature to human well-being. Urban conservation is challenging, however, given cities’ primary role as human habitats and the need to simultaneously support heterogeneous human and wild species communities in similarly heterogeneous environments. We demonstrate a framework for identifying conservation zones within cities and human and species habitat preferences within them, thereby identifying habitat attributes that management could target to support human well-being and conservation objectives. The framework first categorizes conservation zones within a city, then develops species indicator communities for each zone. Habitat preferences are identified for each indicator community using richness modelling, and human habitat preferences within zones are identified using one of several approaches. Lastly, habitat preferences are compared to identify commonalities and differences within zones. We demonstrate our framework in Iowa City (IA, USA) using songbirds, identifying similarities in human and bird habitat preferences within conservation zones that management could target to support human well-being and species conservation and differences in preferences that could be proactively managed to reduce conflict. This framework can thus identify key habitat attributes and approaches to inform conservation planning targeted to specific settings within cities.

The hibernation sites of the monarch butterfly (Danaus plexippus, L.) were discovered in central Mexico in 1975 and, following the decree of a protected area in 1986, processes of deforestation and forest degradation were triggered on the socially owned land in question. Further deterioration has occurred since the expansion and designation of the area as the Monarch Butterfly Biosphere Reserve in 2000. An innovative programme of economic incentives was established to compensate the affected properties in the core zone for curtailment of their forest use and to pay for environmental services; however, some of the agrarian communities were in disagreement with this programme. Orthophotographs from 1994 were compared with high-resolution satellite images from 2017 in order to determine forest-cover trends in the areas incentivized by Payment for Environmental Services to avoid deforestation and those areas that were not incentivized. The results show an overall recovery of 2% in forest area between 1994 and 2017, while a 5% increase in the deforested area is notable in the core zone. The findings indicate that, for the establishment of an effective protected area on social property lands, consensus must be achieved across all of the communities in order to avoid subsequent forest loss.

Selective logging in tropical forests may lead to deforestation and forest degradation, so accurate mapping of it will assist in forest restoration, among other ecological applications. This study aimed to track canopy tree loss due to illegal logging of the important hardwood tree Ocotea usambarensis in a closed-canopy submontane tropical forest by evaluating the mapping potential of the very-high-resolution WorldView-3 multispectral dataset using random forest (RF) and support vector machine (SVM) with radial basis function kernel classifiers. The results show average overall accuracies of 92.3 ± 2.6% and 94.0 ± 2.1% for the RF and SVM models, respectively. Average kappa coefficients were 0.88 ± 0.03 for RF and 0.90 ± 0.02 for SVM. The user’s and producer’s accuracies for both classifiers were in the range of 84–100%. This study further indicates that vegetation indices derived from bands 5 and 6 helped detect canopy gaps in the study area. Both variable importance measurement in the RF algorithm and pairwise feature selection proved useful in identifying the most pertinent variables in the classification of canopy gaps. These findings could allow forest managers to improve methods of detecting canopy gaps at larger scales using remote sensing data and relatively little additional fieldwork.

Soil and water are crucial resources for agriculture, especially in arid and semi-arid rain-fed areas, yet farm-level economic impacts and the factors influencing the adoption of measures for their conservation are little studied. The present study used data from 400 farm households to assess factors influencing the adoption of soil and water conservation measures (SWCMs) and their impacts on farm productivity and income in a semi-arid region of central India. We employed a probit model to determine the factors influencing the on-farm adoption of SWCMs and a propensity score matching technique for assessing their impacts. The findings indicate that farmer age and education, off-farm income, farm size and land ownership and access to training are key drivers of the adoption of SWCMs. SWCMs accentuated the input costs by INR 1689–2847 per ha during the rabi cropping season (October–February), but also increased crop productivity and net revenue from farming. The impact in the rabi season was less sensitive to the unobserved confounders than in the kharif season (June–September). Therefore, SWCMs could represent an important strategy for unlocking the cultivation potential of large rain-fed areas and for sustaining the livelihoods of farm households in the ecologically fragile arid and semi-arid tropics.

Jeju Island, designated by UNESCO as a world heritage site, continues to face the anthropogenic pressures of reckless development for regional tourism and economic revitalization purposes. Because land use/land cover (LULC) affects ecosystem services and human well-being, it is crucial to comprehensively identify the causes of changes in LULC based on long-term analyses. This study examined LULC changes on Jeju Island over 47 years from 1973 to 2019 and quantified changes in four ecosystem services: habitat quality, carbon stock, water yield and cumulative viewshed. From 1973 to 1998, forest land increased from 22% to 56%, but these restoration efforts were conducted in grassland, reducing that land type from 42% to 17%. This process increased the areas of highest habitat quality from 68% to 73%, and carbon stock increased from 20 to 30 million tonnes. Between 1998 and 2009, the area of cropland more than doubled from 21% to 44%. As a result, the areas of highest habitat quality decreased from 73% to 49%, and carbon stock decreased from 3.0 million tonnes to 2.3 million tonnes. Our analysis could help stakeholders and policymakers to develop their management planning and improve ecosystem services through restoration and conservation policies on Jeju Island.