Connectivity Of Protected Areas Research Articles

A comprehensive framework to assess multi‐species landscape connectivity

Abstract Due to the central role of landscape connectivity in many ecological processes, evaluating and accounting for it has gained attention in both theoretical and applied ecological sciences. To address this challenge, researchers often use generic species to simplify multi‐species connectivity assessments. Yet, this approach tends to oversimplify movement behaviour, likely reducing realism and precision of connectivity model outputs. Also, the most widely used methods and theories for assessing landscape connectivity, namely circuit and network theories, have strong limitations. Finally, uncertainty or robustness estimates are rarely integrated in connectivity assessments. Here, we propose a versatile framework, which, instead of using arbitrary defined generic species, first identifies species groups based on species' environmental niches and morphological, biological, and ecological traits. Second, it combines circuit and network theories to take the best of the two methods to assess landscape connectivity for those groups, while integrating uncertainties in modelling choices. Specifically, ecological continuities (i.e. landscape elements contributing to connectivity) are calculated for these groups and used together with group dispersal capacities to derive network‐based connectivity metrics for conservation areas. We detailed our framework through a case study where we assess the connectivity of 1619 protected areas in metropolitan France for 193 vertebrate species. Our study revealed that both the protection of ecological continuities and the connectivity of protected areas for 11 mammal and 19 bird groups, respectively, were quite low, with variations among groups. Different protection types (i.e. national parks, reserves or prefectural orders) contributed unequally to the overall connectivity of group‐specific suitable habitats. Considering uncertainty propagation was crucial, as many connectivity metrics varied among repetitions. The proposed framework combines different connectivity tools to provide a more relevant and comprehensive assessment of landscape connectivity. It can be used to inform the decision‐making process for spatial planning, particularly in the context of connectivity conservation and management, or support theoretical studies to better understand the ecological role of landscape connectivity. Its flexibility allows easy application under various environmental conditions, including future scenarios.

Current national nature reserves are insufficient to safeguard the long-term survival of birds and mammals in China

Enhancing the connectivity of protected areas is a global consensus for conserving biodiversity. Yet, it is unclear whether habitats are sufficiently connected within protected areas to efficiently protect wildlife populations for long-term survival. Here we show that, in general, China’s national nature reserves can effectively protect about one-half of the bird and mammal populations within protected areas for long-term survival. However, they can only protect 25% of birds and 13% of terrestrial mammals with high motility. Areas of low conservation effectiveness are highly overlapped with protected areas of small size and high intensity of human activity. Artificial landscapes (arable land and built-up land), which account for less than 2% area of the protected areas, disproportionately cause nearly 40% of the connectivity loss. The results suggest that maintaining high levels of functional connectivity within protected areas is as important as maintaining high connectivity in the national or global protected area networks. Our findings have important implications for improving the management of protected areas in China and beyond.

Percentage of area protected can substitute for more complicated structural metrics when monitoring protected area connectivity

Protected area (PA) targets have become a hallmark of global conservation policies such as the recent Kunming-Montreal Global Biodiversity Framework, which requires signatory countries to establish new PAs while also monitoring gains to both PA network coverage and connectivity at large spatial scales. Policy makers tasked with implementing and monitoring progress toward these targets face the difficult decision about which connectivity metric to use, which is not always straightforward given existing data and software limitations. We empirically compare 17 of the most widely used structural connectivity metrics to determine how they capture change in a PA network as additional protected areas are added and assess whether mathematically simple metrics are a reasonable substitute for more complex metrics. We find that simply reporting the percentage of the total area that is protected is a viable way to capture connectivity gains in most landscapes. If a more involved metric is desired, we recommend the Integral Index of Connectivity, which was highly correlated with the percentage of area protected, produced similar results when measuring change in PA networks, and incorporates stepping stone movements through transboundary regions.

Using sentinel nodes to evaluate changing connectivity in a protected area network.

It has been recognized that well-connected networks of protected areas are needed to halt the continued loss of global biodiversity. The recently signed Kunming-Montreal biodiversity agreement commits countries to protecting 30% of terrestrial lands in well-connected networks of protected areas by 2030. To meet these ambitious targets, land-use planners and conservation practitioners will require tools to identify areas important for connectivity and track future changes. In this study we present methods using circuit theoretic models with a subset of sentinel park nodes to evaluate connectivity for a protected areas network. We assigned a lower cost to natural areas within protected areas, under the assumption that animal movement within parks should be less costly given the regulation of activities. We found that by using mean pairwise effective resistance (MPER) as an indicator of overall network connectivity, we were able to detect changes in a parks network in response to simulated land-use changes. As expected, MPER increased with the addition of high-cost developments and decreased with the addition of new, low-cost protected areas. We tested our sentinel node method by evaluating connectivity for the protected area network in the province of Ontario, Canada. We also calculated a node isolation index, which highlighted differences in protected area connectivity between the north and the south of the province. Our method can help provide protected areas ecologists and planners with baseline estimates of connectivity for a given protected area network and an indicator that can be used to track changes in connectivity in the future.

A Canada-wide macro assessment of protected area connectivity

Protected areas have become increasingly important for preventing biodiversity declines. However, their effectiveness depends, in part, on how well they are connected with other viable habitats because maintaining and enhancing species movement is critical for population persistence. We used human footprint data to identify potential movement corridors (within maximum distances of 5 and 50 km) among Canadian protected areas. We then compared the degree of connectivity for government protected areas, private protected areas, Indigenous managed lands, and a control (randomly sampled lands). At a maximum distance of 5 km, compared to the control group, government protected areas had 5.6 times more connections, private protected areas had 5.1 times, and Indigenous managed lands (e.g., Indigenous Protected and Conserved Areas) had 4.8 times. At a maximum distance of 50 km, government and private protected areas had 2.6 and 1.4 times the number of connections than the control group, respectively, but Indigenous managed lands had fewer connections than the control. Among private protected areas, at both maximum distances, conservation agreements had approximately 1.3 times the number of connections than fee simple properties. Our results highlight differences in connectivity between protected area types and the disparity in connectivity between government protected areas and their non-governmental counterparts.

Overlooked risks and opportunities in groundwatersheds of the world’s protected areas

Protected areas are a key tool for conserving biodiversity, sustaining ecosystem services and improving human well-being. Global initiatives that aim to expand and connect protected areas generally focus on controlling ‘above ground’ impacts such as land use, overlooking the potential for human actions in adjacent areas to affect protected areas through groundwater flow. Here we assess the potential extent of these impacts by mapping the groundwatersheds of the world’s protected areas. We find that 85% of protected areas with groundwater-dependent ecosystems have groundwatersheds that are underprotected, meaning that some portion of the groundwatershed lies outside of the protected area. Half of all protected areas have a groundwatershed with a spatial extent that lies mostly (at least 50%) outside of the protected area’s boundary. These findings highlight a widespread potential risk to protected areas from activities affecting groundwater outside protected areas, underscoring the need for groundwatershed-based conservation and management measures. Delineating groundwatersheds can catalyse needed discussions about protected area connectivity and robustness, and groundwatershed conservation and management can help protect groundwater-dependent ecosystems from external threats. Global initiatives to expand protected areas focus on controlling ‘above ground’ impacts such as land use, overlooking the potential human impacts on protected areas through groundwater flow. This study analyses the potential extent of these impacts by mapping groundwatersheds.

Comparison and parallel implementation of alternative moving-window metrics of the connectivity of protected areas across large landscapes

ContextA variety of metrics can be used to measure connectivity of protected areas. Assumptions about animal movement and mortality vary among metrics. There is a need to better understand what to use and why, and how much conclusions depend on the choice of metric.ObjectivesWe compare selected raster-based moving-window metrics for assessing the connectivity of protected areas to natural habitat in the surrounding area, and develop tools to facilitate calculation of these metrics for large landscapes.MethodsWe developed parallel implementations of distance-weighted sum and Spatial Absorbing Markov Chain methods in R packages to improve their useability for large landscapes. We investigated correlations among metrics for Canadian protected areas, varying background mortality, cost of movement, mean displacement, dispersal kernel shape, distance measure used, and the treatment of natural barriers such as water, ice, and steep slopes.ResultsAt smaller spatial scales (2–5 km mean displacement), correlations among metric variants are high, suggesting that any of the metrics we investigated will give similar results and simple metrics will suffice. Differences among metrics are most evident at larger spatial scales (20–40 km mean displacement) in moderately disturbed regions. Assumptions about the impact of natural barriers have a large impact on outcomes.ConclusionIn some circumstances different metrics give similar results, and simple distance-weighted metrics likely suffice. At large spatial scales in moderately disturbed regions there is less agreement among metrics, implying that more detailed information about disperser distribution, behaviour, and mortality risk is required for assessing connectivity.

Jaguars and wild pigs indicate protected area connectivity in the south-east Atlantic Forest (Brazil)

SummaryThe Atlantic Forest of South America has undergone major changes due to urban and agriculture/pasture extension, resulting in a highly fragmented biome. Protected areas, created to ensure the biodiversity conservation of this biome, need to be connected for long-term landscape integrity. We aimed to quantify connectivity among protected areas in the south-east Atlantic Forest using two species with different environmental requirements: a threatened species with high requirements, the jaguarPanthera onca; and an exotic species with low requirements, the wild pigSus scrofa. Our methods included expert opinion, andCircuitscapeand least-cost-path analyses. We hypothesized that the patchy and altered landscape would not support the connectivity of jaguars but would allow wild pigs to transit. In fact, we found connectivity for both species, but there were more connectivity opportunities for wild pigs. The connection between Serra do Mar (and Serra do Mar state park) and Serra da Mantiqueira (Mantiqueira Mosaic) is narrow but possible to traverse through some protected areas of sustainable use and private reserves, highlighting the importance of these to structural landscape connectivity for the studied species in this region. The same connectivity that allows the transit of the native jaguar with high environmental requirements also allows the invasive wild pig to move through the landscape, which is worrisome.

Integrative adaptive management to address interactions between biological invasions and protected area connectivity: a Canadian perspective

Expanding and creating protected area networks has become a central pillar of global conservation planning. In the management and design of protected area networks, we must consider not only the positive aspects of landscape connectivity but also how that connectivity may facilitate the spread of invasive species, a challenge that has become known as the connectivity conundrum. Here, we review key considerations for landscape connectivity planning for protected area networks, focusing on interactions between network connectivity and the management of invasive species. We propose an integrative adaptive management framework for protected area network planning with five main elements, including monitoring, budgeting considerations, risk assessment, inter-organizational coordination, and local engagement. Protected area planners can address the dynamic aspects of the connectivity conundrum through collaborative and integrative adaptive management planning.

Planning Restoration of Connectivity and Design of Corridors for Biodiversity Conservation

Habitats have been undergoing significant changes due to environmental processes and human impact that lead into habitat fragmentation and connectivity loss. To improve quality habitats and maintain ecological connectivity, elements that improve the connectivity of habitats need to be identified. To meet this goal, finding optimal pathways locations plays a key role for designing corridors for biodiversity conservation. Conducted in the Castilla y León region of Spain, this paper aims to determine optimal pathways and to enhance the connectivity of protected areas. To this end, three different scenarios were developed including the Natura 2000 network and their surroundings (Natura 2000, Level 0, and Level 1). We used Restoration Planner (RP) available in GuidosToolbox to analyze the network and detect pairwise optimum restoration pathways between the five largest network objects. Our results demonstrate that connector density varies across the region for each scenario. There was also a large variability in the length of connectors. Connectors were found mainly distributed around the center and northwestern part of Castilla y León. This paper also suggests that proposed new restoration pathways should increase in the study area. Thus, the findings can be used effectively for extensive planning and interpretation in biodiversity conservation.

A Protected Area Connectivity Evaluation and Strategy Development Framework for Post-2020 Biodiversity Conservation

Maintaining and improving the connectivity of protected areas (PAs) is essential for biodiversity conservation. The Post-2020 Global Biodiversity Framework (GBF) aims to expand the coverage of well-connected PAs and other effective area-based conservation measures to 30% by 2030. We proposed a framework to evaluate the connectivity of PAs and developed strategies to maintain and improve the connectivity of PAs based on PA connectivity indicators, and we applied this framework to China’s terrestrial PAs. We considered that the concept of PA connectivity is at the level of both PA patches and PA networks, including four aspects: intra-patch connectivity, inter-patch connectivity, network connectivity, and PA–landscape connectivity. We found that among China’s 2153 terrestrial PA patches, only 427 had good intra-patch connectivity, and their total area accounted for 11.28% of China’s land area. If inter-patch connectivity, network connectivity, and PA–landscape connectivity were taken as the criteria to evaluate PA connectivity, respectively, then the coverage of well-connected terrestrial PAs in China was only 4.07%, 8.30%, and 5.92%, respectively. Only seven PA patches have good connectivity of all four aspects, covering only 2.69% of China’s land. The intra-patch, inter-patch, network, and PA–landscape connectivity of China’s terrestrial PA network reached 93.41%, 35.40%, 58.43%, and 8.58%, respectively. These conclusions indicated that there is still a big gap between China’s PA connectivity and the Post-2020 GBF target, which urgently needs to be improved. We identified PA patches and PA networks of ecological zones that need to improve PA connectivity and identified improvement priorities for them. We also identified priority areas for connectivity restoration in existing PAs, potential ecological corridors between PAs, and priority areas for PA expansion to improve the connectivity of PAs in China. Application of our framework elsewhere should help governments and policymakers reach ambitious biodiversity conservation goals at national and global scales.

Combining connectivity and species distribution modeling to define conservation and restoration priorities for multiple species: A case study in the eastern Amazon

Increasing the connectivity of protected areas is an urgent need to ensure the conservation of forest species and help them to shift their ranges due to anthropogenic drivers. However, efforts to do so considering the joint effects of habitat fragmentation and climate change are still scant. Here, we aimed to outline a framework that incorporates spatial, temporal and multi-taxa criteria to pinpoint locations that connect protected areas in the eastern Amazon. We analyzed three mosaics of protected areas, and data on 603 species (bees, birds, bats) and developed two models using species movement flow (MF; through circuit theory) and habitat suitability (HS; through species distribution models). Considering only the MF, northward areas are the main candidates for corridors, most of which presenting forest cover (68% of the 928,379 ha). This result changes when we analyze the HS, since the corridors are mostly positioned in a different direction (westward) and less than half have forest cover (45% of the 925,058 ha). Candidate areas for both approaches totaled 135,171 ha, with 86% still covered by forest. Our results rely on methodological and taxonomic redundancy (to depict a range of movement and/or habitat requirements) for an efficient strategy to prioritize areas for connectivity. Dynamic restoration simulations showed that the location and order of restoration are important to ensure increased availability of habitat. Our approach can help address two important biodiversity threats (habitat loss and climate change) and maximize the selection of the best corridors to protect species in a rapidly changing world.

The Sustainability of Thailand’s Protected-Area System under Climate Change

Protected areas are the backbone of biodiversity conservation but vulnerable to climate change. Thailand has a large and well-planned protected area system, covering most remaining natural vegetation. A statistically derived global environmental stratification (GEnS) was used to predict changes in bioclimatic conditions across the protected area system for 2050 and 2070, based on projections from three CMIP5 earth system models and two representative concentration pathways (RCPs). Five bioclimatic zones were identified composed of 28 strata. Substantial spatial reorganization of bioclimates is projected in the next 50 years, even under RCP2.6, while under RCP8.5 the average upward shift for all zones by 2070 is 328–483 m and the coolest zone disappears with two models. Overall, 7.9–31.0% of Thailand’s land area will change zone by 2070, and 31.7–90.2% will change stratum. The consequences for biodiversity are less clear, particularly in the lowlands where the existing vegetation mosaic is determined largely by factors other than climate. Increasing connectivity of protected areas along temperature and rainfall gradients would allow species to migrate in response to climate change, but this will be difficult in much of Thailand. For isolated protected areas and species that cannot move fast enough, more active, species-specific interventions may be necessary.

Population trends of common breeding birds in Germany 1990\u20132018

Biodiversity monitoring is important as it allows to prioritize research into the causes of declines and assessing the efficacy of conservation measures. Regional assessments are valuable, because conservation policies and management are often implemented on national and sub-national level. We analyzed data from the German Common Bird Monitoring for 1990–2018. We derived indices of population size using standard log-linear models, based on point counts and route territory mapping at up to 1200 plots annually. We summarized species trends by ecological trait groups. Among the 93 common breeding birds, farmland birds declined strongly, birds of settlements declined. Forest birds initially declined, but recovered after ca. 2010. Wetland birds increased strongly, albeit the number of species with data was low. Consistent declines were found in ground-nesting birds, granivorous and invertebrate (other than insect)-feeding birds. Trends of insectivorous birds were stable on average, but farmland insectivores declined strongly since the year 2000. Long-distance migrants showed more negative trends compared to short-distance migrants and resident species. Species with narrow habitat niche declined disproportionally. Trends over the entire period were more negative in common species in the dataset (with a German breeding population of > 50 K and < 1 M pairs). On the opposite, short-term trends were more negative in less common species (< 50 K pairs). Cold-adapted species showed largely negative, warm-adapted largely positive trends. Multi-species indicators showed no directional change (i.e., a change from decline to increase or vice versa) conditional on the inclusion or omission of single species, but the magnitude of change was affected in groups with low sample size. This suggests that efforts should be made to develop robust monitoring schemes for rarer species that are not covered by the analyses here. We conclude that conservation policies in Germany should aim at halting the worrying declines in ground-nesting, often insectivorous, farmland birds. The recovery of forest and wetland birds is encouraging, but future trends need to be monitored. Ongoing climate change will affect species directly (via their thermal niche) and indirectly (e.g., through more forest disturbance). Conservation strategies will, therefore, need to consider species adaptation to environmental and climate change, e.g., in better protected area connectivity and management.

A methodology to assess the future connectivity of protected areas by combining climatic representativeness and land-cover change simulations: the case of the Guadarrama National Park (Madrid, Spain)

Protected areas are fundamental in conservation, but their intactness is increasingly threatened by the effects of climate and land-cover changes. Here, a methodological procedure is proposed able to determine the representative climatic conditions of a protected area in central Spain (Guadarrama National Park) pinpointing the natural areas that will host future analogous conditions, but also assessing the effects of land-cover changes on the connectivity of these areas. Future conditions provided by two 2050 IPCC climatic change scenarios and land-cover change simulations were jointly used for this purpose. According to the results obtained, climate change will produce notable effects, displacing its representative climatic conditions as well as modifying the land cover in the neighboring localities. Three areas appear as fundamental for the future maintenance of this reserve: two within the Iberian Central System (Gredos Mountains and Ayllón Mountains) and one in the Iberian System (Urbión Mountains). The proposed approach can be implemented in any protected area to examine its capacity to represent in the future the environmental conditions for which it was created.

Distribution and connectivity of protected areas in the Americas facilitates transboundary conservation.

Large-scale anthropogenic changes to landscapes will cause species to move and shift their ranges against a backdrop of international political boundaries. Transboundary conservation efforts are therefore key to preserving intact and connected landscapes, particularly if such efforts can be implemented within the framework of protected area networks that provide for resiliency and persistence in the face of threats such as climate change. We studied the distribution, connectivity, and integrity of protected areas in regions near international borders within the Americas. We found that there is a greater proportion of land protected near vs. far from borders, with this effect extending approximately 125km from the border. This trend was most pronounced when considering multiuse categories of protected areas in the analysis. We also found that there is greater connectivity of protected areas in border regions than more internally within countries, and relatively low rates of habitat loss within border-situated and internal protected areas. Our results indicate that protected area networks are larger and more connected if considered in a transboundary context and that efforts to conserve species and mitigate effects of long-term stressors like climate change will be most successful when planning includes neighboring countries. Despite a relative lack of attention to transboundary conservation in the Americas, our results suggest substantial opportunities for linking landscapes via a focus on international border regions and coordination across borders in protected areas management.

Global trends in protected area connectivity from 2010 to 2018

Connectivity of protected areas (PAs) is needed to ensure the long-term persistence of biodiversity and ecosystem service delivery. The Convention on Biological Diversity agreed in 2010 to have 17% of land covered by well-connected PA systems by 2020 (Aichi Target 11). We here globally assess, for all countries, the trends in terrestrial PA connectivity every other year from 2010 to 2018 using the ProtConn indicator, which quantifies how well the PA systems are designed to support connectivity. The percentage of protected connected land (ProtConn) has increased globally from 6.5% in 2010 to 7.7% in 2018. Oceania experienced the largest recent increase in PA connectivity, whereas Asia is the only content with a lower ProtConn in 2018 than in 2010. Globally, the relative increase in the percentage of protected connected land (ProtConn) is nearly twice that of the percentage of land under protection (PA coverage), due to clear improvements in the design of PA systems for connectivity in many regions. The connectivity of the PA networks has become more dependent on the permeability of the unprotected landscape matrix in between PAs and on the coordinated management of adjacent PAs with different designations and of transboundary PA linkages. The relatively slow recent increase in PA connectivity globally (2016–2018) raises doubt as to whether connectivity targets will be met by 2020, and suggests that considerable further action is required to promote better-connected PA systems globally, including the expansion of the PA systems to cover key areas for connectivity in many countries and regions.

Modeling endangered mammal species distributions and forest connectivity across the humid Upper Guinea lowland rainforest of West Africa

Species distribution data provide critical baseline information for conservation planning and decision making. However, in many of the Earth’s most biodiverse regions, such data are lacking for many species. Here, we used ecological niche modeling and connectivity analyses to model distributions of endangered species and protected area connectivity across the Upper Guinea Forest (UGF) Global Conservation Hotspot of West Africa. We estimated the current distributions of African forest elephant Loxodonta cyclotis (Vulnerable), western chimpanzee Pan troglodytes verus (Critically Endangered), and pygmy hippopotamus Choeropsis liberiensis (Endangered) across the region and optimized connectivity in two main forest complexes in the region. We used occurrence data for the period 2010–2016 for the three species from two well-sampled national parks in Liberia (Sapo National Park and Gola National Park), and remotely sensed MODIS enhanced vegetation index data for the period 2010–2015. Our models predicted a total of 75,157 km2 of suitable habitat for chimpanzees in the region, 79,400 km2 for elephants, and 290,696 km2 for hippos. Of these areas, for chimpanzees, 30% of the area predicted falls within the boundaries of proposed or designated protected areas, and likewise 30% for elephants, and 19% for hippos. Liberia had the largest blocks of contiguous forest suitable for these species compared to other countries in the region but this forest was largely unprotected. This study identifies priority areas for biodiversity conservation and forest connectivity in the region, and reemphasizes the practicality of these tools to optimize conservation planning and implementation.

Natura 2000 sites, public forests and riparian corridors: The connectivity backbone of forest green infrastructure

The connectivity of protected areas, such as the Natura 2000 network, is crucial for maintaining healthy ecosystems and for the delivery of ecosystem services into the wider landscapes in which they are embedded.We here present a novel combination of methods for connectivity analysis across heterogeneous landscapes, integrating graph-based analyses, least-cost path modelling and the Probability of Connectivity metric, and apply these methods to the network of Natura 2000 woodland sites in mainland Spain. We deliver key insights on the connectors between Natura 2000 sites: their location and width (including transboundary ones), their prioritization in conservation and restoration scenarios involving different land uses, and the bottlenecks (weak points due to land use pressures) found along them. Based on these results, we characterize the landscapes traversed by the connectors within and outside the protected sites to inform related land management decisions.We show that forests of public utility play a key role in sustaining Natura 2000 connectivity in Spain. They may qualify as an effective area-based conservation measure significantly contributing to the connectivity element of Aichi Target 11.Riparian forests were part of the identified connectors much more frequently than expected by their area. They stand out as a crucial green infrastructure safeguarding the connectivity of Natura 2000 woodland habitats, particularly when forest species need to traverse landscapes dominated by agricultural and artificial land uses.Natura 2000 sites have good connectivity conditions compared to unprotected lands. First, the identified woodland connectors preferentially traversed Natura 2000 lands. Second, the large majority of bottlenecks occurred outside Natura 2000. Natura 2000 sites cannot, however, be considered free from connectivity limitations; they still contained a significant number of bottlenecks that would need to be addressed in the site-level management plans.The priority connectors for conservation were preferentially found in the well-forested and well-protected landscapes in the main mountain ranges of Spain. On the contrary, the priority connectors for restoration traversed much more frequently landscapes dominated by agriculture. In these landscapes, connectivity improvements largely depend on the restoration of riparian forests and on measures that mitigate the intensification of agriculture by promoting landscape complexity and natural vegetation remnants. The remarkable spatial segregation found between the priority landscapes for connectivity conservation and those of priority for restoration highlights the need for an integrated perspective for land use planning and for the management of the Natura 2000 network in Europe.

Protected area connectivity: Shortfalls in global targets and country-level priorities

Connectivity of protected areas (PAs) is crucial for meeting their conservation goals. We provide the first global evaluation of countries' progress towards Aichi Target 11 of the Convention on Biological Diversity that is to have at least 17% of the land covered by well-connected PA systems by 2020. We quantify how well the terrestrial PA systems of countries are designed to promote connectivity, using the Protected Connected (ProtConn) indicator. We refine ProtConn to focus on the part of PA connectivity that is in the power of a country to influence, i.e. not penalizing countries for PA isolation due to the sea and to foreign lands. We found that globally only 7.5% of the area of the countries is covered by protected connected lands, which is about half of the global PA coverage of 14.7%, and that only 30% of the countries currently meet the Aichi Target 11 connectivity element. These findings suggest the need for considerable efforts to improve PA connectivity globally. We further identify the main priorities for improving or sustaining PA connectivity in each country: general increase of PA coverage, targeted designation of PAs in strategic locations for connectivity, ensuring permeability of the unprotected landscapes between PAs, coordinated management of neighbouring PAs within the country, and/or transnational coordination with PAs in other countries. Our assessment provides a key contribution to evaluate progress towards global PA connectivity targets and to highlight important strengths and weaknesses of the design of PA systems for connectivity in the world's countries and regions.