Effectiveness Of Protected Areas Research Articles

Impacts of Land Use Land Cover Dynamics on Ecosystem Services in Maze National Park and its Environs, Southwestern Ethiopia

This study investigated the impacts of LULC changes on selected ecosystem services in Maze National Park (MzNP) and its environs in southwestern Ethiopia. Landsat images from 1985, 2005, and 2020 were used to examine land use land cover (LULC) changes. Images were classified using the Random Forest (RF) classifier, and their accuracy was computed in QGIS. Ecosystem service values (ESVs) were then estimated using the benefit transfer method employing Ecosystem Service Valuation Database (ESVD) coefficients. Additionally, socioeconomic survey was conducted to understand the local community's perceptions regarding the dynamics of ecosystem services. The findings revealed a significant increase in croplands (103.7%) and built-up areas (31.32%), while riverine forests, water bodies, and wooded grasslands declined. The overall ESVs decreased by 20%, from 2038.42 million USD in 1985 to 1628.72 million USD in 2020, mainly driven by reductions in riverine forests and wooded grasslands. As for the individual ESVs for the period 1985 to 2020, only food production increased by 0.7 million USD, while water supply, climate regulation, raw materials, and recreation and tourism declined by 180.35, 2.67, 45.72, and 481.62 million USD, respectively. The coefficient of sensitivity ranged from 0.01 to 0.94, <1, revealed that our estimates are relatively robust. Ecosystem services such as grazing, recreation, wild food, and firewood are highly valued by local residents, but they are declining over time due to environmental degradation and restrictions on access to the park. Thus, understanding LULC changes and their impacts on ESVs can help decision-makers design effective protected area management plans and reduce potential conflicts over resource uses. Further investigations are suggested to more accurately quantify ESVs using high resolution satellite imageries and different valuation methods.

Larval dynamics suggest phenological strategies and positive effect of marine protected areas controlling indigenous and non-indigenous crab populations

The early life of most decapod crustaceans takes place in the water column as larvae before they settle in benthic habitats. The spatial and temporal variability in the settling of larval stages offers valuable insights into the potential recruitment of natural populations. To explore this, we studied megalopa assemblages at various segments of coastline on El Hierro and Lanzarote islands, both within and outside the Marine Protected Areas (MPAs) of each island. The study spanned four consecutive oceanographic periods in the Canary Islands (NW Africa), employing light traps for sample collection. The low number of recorded species suggested that light traps exhibit selectivity, particularly for megalopae belonging to Portunidae and Grapsidae. El Hierro, which experienced warmer sea surface temperatures, displayed higher megalopa abundance values than Lanzarote and distinct larval assemblages was observed between these two islands. Similarly, we identified significant variations in abundance and species composition between stratified and mixing seasons. These seasonal differences were influenced by the dominance of Achelous hastatus, Percnon gibessi, and Cronius ruber during the stratified season. In Lanzarote, C. ruber was not recorded during the mixing season, suggesting that the colder conditions there may constrain its reproduction. Interestingly, we observed that species traditionally harvested from the intertidal zone for human consumption (Plagusia depressa) or used as bait for recreational fishing (Pachygrapsus spp. and P. gibessi) exhibited higher megalopa abundances within the MPAs. In contrast, we noted lower megalopa densities of the non-indigenous species C. ruber within the protected areas. These results indicate a positive effect of MPAs controlling indigenous and non-indigenous crab populations. Moreover, the study provides novel data, showing that light traps are suitable for monitoring the temporal occurrence, abundance, and spatial distribution of non-indigenous and commercially exploited species. This is key for adopting an ecosystem-based approach to manage marine resources.

Comparing the performance of three satellite-based data products for assessing protected area effectiveness

Protected areas (PAs) play a key role in tackling the ongoing biodiversity crisis, but there is a lack of sufficient information about how effectively they can mitigate different land-use pressures, such as deforestation and wildfires. The majority of studies assessing PA effectiveness have so far focused on forest loss as a proxy, finding that PAs in general reduce tropical deforestation pressures. However, data on the spread and incidents of fires could provide an interesting alternative, since several high-quality, open-access fire data products have lately become available at high spatial and temporal resolution. In this study, we compare how three satellite-based data products (forest loss, fire incidence, burned area) affect the results and conclusions of a matching-based analysis of the effectiveness of the PAs of Madagascar, a global biodiversity hotspot. We also compare the data products´ spatial and temporal resolution, the timespan they cover, and how user-friendly the downloading and pre-processing stages are. We found that Madagascar’s PAs have the capacity to mitigate forest conversion pressures, irrespective of which data product is used as a proxy for effectiveness. However, the level of effectiveness varies between the main forest biomes, and there is significant variation in the effectiveness between individual PAs. Overall, our results indicate that satellite-based fire data can potentially be used to a much greater extent for assessing future PA performance, especially when seeing that their high temporal resolution makes them particularly relevant for practical management purposes.

Climate-driven shifts in the diversity of plants in the Neotropical seasonally dry forest: Evaluating the effectiveness of protected areas.

Given the current environmental crisis, biodiversity protection is one of the most urgent socio-environmental priorities. However, the effectiveness of protected areas (PAs), the primary strategy for safeguarding ecosystems, is challenged by global climate change (GCC), with evidence showing that species are shifting their distributions into new areas, causing novel species assemblages. Therefore, there is a need to evaluate PAs' present and future effectiveness for biodiversity under the GCC. Here, we analyzed changes in the spatiotemporal patterns of taxonomic and phylogenetic diversity (PD) of plants associated with the Neotropical seasonally dry forest (NSDF) under GCC scenarios. We modeled the climatic niche of over 1000 plant species in five representative families (in terms of abundance, dominance, and endemism) of the NSDF. We predicted their potential distributions in the present and future years (2040, 2060, and 2080) based on an intermediate scenario of shared socio-economic pathways (SSP 3.70), allowing species to disperse to new sites or constrained to the current distribution. Then, we tested if the current PAs network represents the taxonomic and phylogenetic diversities. Our results suggest that GCC could promote novel species assemblages with local responses (communities' modifications) across the biome. In general, models predicted losses in the taxonomic and phylogenetic diversities of all the five plant families analyzed across the distribution of the NSDF. However, in the northern floristic groups (i.e., Antilles and Mesoamerica) of the NSDF, taxonomic and PD will be stable in GCC projections. In contrast, across the NSDF in South America, some cores will lose diversity while others will gain diversity under GCC scenarios. PAs in some NSDF regions appeared insufficient to protect the NSDF diversity. Thus, there is an urgent need to assess how the PA system could be better reconfigured to warrant the protection of the NSDF.

Population distribution and drivers of habitat use for the Burrunan dolphins, Port Phillip Bay, Australia.

Bottlenose dolphin (Tursiops) populations, also described as the Burrunan dolphins, consist of a resident population of approximately 150 individuals in Port Phillip Bay (PPB), Victoria. Previous reports indicate distribution across a small southern region of PPB; however, little is known about their full distribution patterns across the entire PPB region. Here, we investigate the spatiotemporal distribution of the Burrunan dolphins across four zones representative of PPB benthic habitats and bathymetry to gain a better understanding of the potential drivers of the population's habitat use. Port Phillip Bay, Victoria, Australia. One hundred and twenty-nine boat-based surveys were undertaken between March 2015 and August 2021, encompassing 181 sightings. Generalised linear models (GLMs) were used to investigate annual, seasonal and zonal variation. We found no variation in sighting frequencies between years. Austral summer and winter had a significantly higher sighting frequency than autumn. We found that Burrunan dolphins utilise the entire bay, further extending the species range, and show a significantly higher number of sightings in the southern zone than in any other zones. Overlaying dolphin sightings with known oceanographic characteristics within PPB, we found bathymetry and benthic habitats were potential drivers for the Burrunan dolphins distribution and habitat use within the bay, with the dolphins significantly favouring the 5-10 and 10-15 m contour depths. These results show a more widespread distribution across the bay than previously documented. We recommend expansion of the current marine protected areas in the north and south of the bay. This study has increased our understanding of the vital habitat for the Burrunan dolphin populations. By providing evidence-based conservation recommendations, we hope to improve and contribute to future research, conservation management plans and effective marine protected areas across PPB for the resident Burrunan dolphin population.

Using density surface models to assess the ecological effectiveness of a protected area network in Tanzania

AbstractGiven recent global endeavors to increase protected area coverage, it is crucial to comprehensively evaluate the efficacy of various area‐based conservation strategies in effectively reducing biodiversity loss. Here, we investigated the responses of wildlife populations to different protection levels and environmental variables at the landscape scale in the Katavi–Rukwa Ecosystem, western Tanzania. To this end, we conducted line distance sampling surveys and counted the dung of six target mammal species (elephant, giraffe, buffalo, zebra, topi, and hartebeest) along foot transects within areas differing in protection levels (from strict to less‐strictly protected: national park, game reserve, forest reserve, game‐controlled area, and unprotected areas). Based on these dung counts, we modeled the spatial distribution of these six mammal species using a species‐specific density surface modeling framework. We found consistent effects of protection level and land use variables on the spatial distribution of the target mammal species: dung densities were highest in the national park and game reserves, intermediate in less‐strictly protected areas, and lowest in unprotected areas. Beyond species‐specific environmental predictors for dung densities, our results highlight consistent negative associations between dung densities of the target species and distance to cropland and avoidance of areas in proximity to houses. Our findings underpin differences in ecological effectiveness of protected areas within one ecosystem. Protection level and land use play crucial roles in moderating the spatial distribution of all considered mammal species. Our findings suggest that a landscape approach needs to guide effective conservation across the entire protection gradient of the Katavi–Rukwa Ecosystem.

Integration approaches for overlapping protected areas in the Qinghai-Xizang Plateau, China

Overlapping protected areas, where the same land is designated as more than one type of protected area, is a widespread issue that complicates the management and effectiveness of the protected area network. Systematically assessing the extent of overlap, along with their effective integration, is crucial for enhancing the effectiveness of protected areas in meeting conservation objectives. We take the Qinghai- Xizang Plateau as a case study, conducting a quantitative assessment of the spatial relationships among six distinct categories of protected areas. We compare the efficacy of two scenarios aimed at integrating overlapping protected areas. Scenario 1 is based on the protection level and categories of protected area and Scenario 2 considers the conservation objectives in addition to Scenario 1. Our findings reveal that 240 (45.6%) protected areas on the Qinghai-Xizang Plateau experience overlap, encompassing about 6.6% of the total area of the protected areas. Notably, over 50% of geo-parks, scenic spots, and forest parks are affected by overlap. While both scenarios yielded comparable outcomes in terms of the overall number and area of integrated protected areas, they differed in their effectiveness across different categories. Compared to Scenario 1, Scenario 2 is more effective in 31 overlapping protected areas that match the conservation objectives. This study offers valuable insights and a reference for China and other nations grappling with the challenges of overlapping protected area designations, which will ultimately improve the efficiency of the protected area network.

Scalable phylogenetic Gaussian process models improve the detectability of environmental signals on local extinctions for many Red List species

Abstract Conservation biologists have a daunting task of understanding the causes of species decline associated with anthropogenic factors and predicting the extinction risk of a growing number of endangered species. By reducing variances of estimates with information on closely related species, phylogenetic information among species can bridge gaps in information on species with small range sizes when modelling large numbers of endangered species. However, modelling many species with the Gaussian process (GP), which underlies the evolutionary process of phylogenetic random effects, remains a challenge owing to the computational burden in estimating the large variance–covariance matrix. Here, we applied a phylogenetic generalised mixed model with random slopes and random intercepts to 1010 endangered vascular plant taxa in Japan following phylogenetic GPs implemented by nearest neighbour GP (NNGP) approximation. NNGP enables flexibility in changing the proximity on the phylogenetic tree of species from which information is borrowed to reduce the variances of estimates with a realistic computational burden. We evaluated the effectiveness of phylogenetic models by comparing the predictive performance and descriptive power of phylogenetic and non‐phylogenetic models and identified the anthropogenic factors contributing to the decline of each of the studied endangered species. We found that the model with phylogenetic information had better prediction performance than the model without phylogenetic information. The results showed that across all explanatory variables, the phylogenetic model could detect interspecific differences in response to environmental factors in a number of species more clearly. Combined with the phylogenetic signal results, we could also detect a phylogenetic bias in the species that could benefit from the positive effects of protected areas but reduce the local extinctions of 95% of all studied taxa. In conclusion, our model, considering phylogenetic information with NNGP, allows the elucidation of factors causing the decline of many endangered species. In future analyses, the estimation of extinction probability linked to environmental change might be applied to future climate–land use scenarios, advancing the comprehensive assessment of biodiversity degradation and threats to species at multiple scales.

Land cover changes and management effectiveness of protected areas in tropical coastal area of sub-Saharan Africa

Nature-based solutions to ecological challenges have continued to draw significant attention, and are connected to the increased establishment of protected areas as a means for climate and ecological crisis mitigation. This study presents an innovative approach that combines spatial and statistical analysis of land cover change and drivers to evaluate land use management and effectiveness of 22 designated protected areas (PAs) across the tropical coastal regions of sub-Saharan Africa. While the results provided insight into land use management and conservation priorities, it highlighted (1) the use of these protected areas for food production is prevalent, irrespective of its designation. Nevertheless, there is evidence of a decline in cropland in some of the protected areas, suggesting a shift in policy towards conservation land use. (2) The occurrence of forest loss suggests that conservation is weak in most of the protected areas, while wetland conservation efforts are stronger due to their land cover expansion. (3) Population density (human factor) is the most significant driver of land cover change in these protected areas, followed by elevation (natural environment), precipitation (climate), nighttime light (socio-economic), and slope (natural environment). (4) In terms of Ecosystem value, only 15 of the 22 protected areas exhibited an increase in their total ecosystem service value according to land cover change, indicating sustainable land use and measures effectiveness in these protected areas. However, based on an individual land cover assessment, most protected areas showed signs of loss, especially in forests. Given the projected population growth in Africa, a regular assessment of protected areas should be initiated to enable effective and timely management decisions. Additionally, policies to improve the management effectiveness of African protected areas through funding should be a top priority, while taking into consideration the livelihoods of the indigenous people in the area in order to find a sustainable balance.

Effectiveness and management of terrestrial protected areas: a bibliometric analysis

Effectively managed protected areas (PAs) are an efficient strategy to promote sustainable development and human well-being. The objective of this study was to examine aspects related to the evaluation of PA effectiveness and management, for which a bibliometric analysis was performed by taking as a reference the English language publication made globally from 2013 to 2022 in the Scopus database. Three research trends were found. The first is studies on conservation planning, management, and evaluation, with multiple approaches aimed at developing tools to determine PA effectiveness objectively. The second studies the impacts of human activities on PAs and considers human pressure, the impacts of anthropogenic climate change, and the valuation of ecosystem services, among others. The third studies specific indicators to determine the effectiveness of a specific set of PAs or one in particular. Finally, conservation management was identified as a basic topic that has not been sufficiently developed, so the convenience of developing management and evaluation models for PA management should be evaluated in future research.&#x0D; Keywords: assessment, conservation area, efficacy.

Transboundary Central African Protected Area Complexes Demonstrate Varied Effectiveness in Reducing Predicted Risk of Deforestation Attributed to Small-Scale Agriculture

The forests of Central Africa constitute the continent’s largest continuous tract of forest, maintained in part by over 200 protected areas across six countries with varying levels of restriction and enforcement. Despite protection, these Central African forests are subject to a multitude of overlapping proximate and underlying drivers of deforestation and degradation, such as conversion to small-scale agriculture. This pilot study explored whether transboundary protected area complexes featuring mixed resource-use restriction categories are effective in reducing the predicted disturbance risk to intact forests attributed to small-scale agriculture. At two transboundary protected area complex sites in Central Africa, we used Google Earth Engine and a suite of earth observation (EO) data, including a dataset derived using a replicable, open-source methodology stemming from a regional collaboration, to predict the increased risk of deforestation and degradation of intact forests caused by small-scale agriculture. For each complex, we then statistically compared the predicted increased risk between protected and unprotected forests for a stratified random sample of 2 km sites (n = 4000). We found varied effectiveness of protected areas for reducing the predicted risk of deforestation and degradation to intact forests attributed to agriculture by both the site and category of protected areas within the complex. Our early results have implications for sustainable agriculture development, forest conservation, and protected areas management and provide a direction for future research into spatial planning. Spatial planning could optimize the configuration of protected area types within transboundary complexes to achieve both forest conservation and sustainable agricultural production outcomes.

Species distribution modeling based on MaxEnt to inform biodiversity conservation in the Central Urban Area of Chongqing Municipality

Mainstreaming biodiversity into protection planning and management is of great significance for biodiversity conservation and sustainable development. Species potential distribution modeling is an effective way for species diversity evaluation and biodiversity hotspots identification, which are crucial for biodiversity conservation. Taking the Central Urban Area of Chongqing Municipality as the study area, the main objectives of this study were to identify the potentially suitable habitats, species richness and biodiversity of key protected species in current and future, determine the relative contribution of environmental factors and assess the conservation effectiveness of protected areas (PAs) based on MaxEnt model and gap analysis. The results showed that the current potentially suitable habitats of total key protected species were mainly located in “two rivers and four mountains”, with a total area of 1610.55 km2, of which forestland accounted for 59.78 %. Species suitable habitats demonstrated clear topographic heterogeneity, and the distribution index decreased at first and then increased with increasing terrain niche index (TNI). Meanwhile, it was observed that key protected plants and birds shared similar suitable habitats in mountainous areas, with an overlapping area of 753.53 km2, and the high species richness covered 182.83 km2. In 2050, the future biodiversity hotspots would remain stable and increase steadily. In terms of the direction of centroid shift, the biodiversity hotspots would migrate to low latitude, low altitude and southeast by 8.34 km. The jackknife tests indicated that the potential distribution of key protected species was mainly determined by land use, mean diurnal range and TNI. Additionally, the problems of high protection gaps and low protection effectiveness coexisted in the existing PAs, with the overlapping area of the comprehensive biodiversity hotspots and the existing PAs was only 446.96 km2. Finally, suggestions for natural PAs system optimization and ecological protection were proposed. This study provides scientific supports for biodiversity conservation and efficient management.

Diversity, distribution, habitat preferences and community assemblages of Amphibians and Reptiles in the “Cilento, Vallo di Diano e Alburni” National Park (Campania, Southern Italy)

Amphibians and reptiles are important ecological indicators of ecosystem status and play significant ecological roles. However, their populations are declining globally due to factors such as climate and land-use change. To effectively manage these species, it is crucial to study their distribution in protected areas. In this study, we provide new information on the distribution and ecology of amphibians and reptiles in the “Cilento, Vallo di Diano e Alburni” (CVDA) National Park in southern Italy. We used a comprehensive dataset consisting of 2465 records obtained from fieldwork, citizen science, and literature to evaluate species’ rarity, habitat preferences and community assemblage. We investigated whether differences in species richness across different habitat types and elevations resulted from species selection of different environmental conditions. We quantified species probability of observation in different habitat types and estimated the significance of species-habitat associations. Species rarity was assessed by considering geographic range, population abundance, and habitat breadth. Collected data substantially improved knowledge of the distribution of numerous species compared to published data. Our findings are generally consistent with the species’ ecological information available in Italy, but we also found some species’ peculiar ecological aspects that are little-known. The CVDA National Park emerges as an effective protected area that ensures good conservation status of the herpetofauna, also in the case of species showing population and range declines at the national scale.

An automated procedure to determine construction year of roads in forested landscapes using a least‐cost path and a Before‐After Control‐Impact approach

AbstractProximity to roads is one of the main determinants of deforestation in the Amazon basin. Determining the construction year of roads (CYR) is critical to improve the understanding of the drivers of road construction and to enable predictions of the expansion of the road network and its consequent impact on ecosystems. While recent artificial intelligence approaches have been successfully used for road extraction, they have typically relied on high spatial‐resolution imagery, precluding their adoption for the determination of CYR for older roads. In this article, we developed a new approach to automate the process of determining CYR that relies on the approximate position of the current road network and a time‐series of the proportion of exposed soil based on the multidecadal remote sensing imagery from the Landsat program. Starting with these inputs, our methodology relies on the Least Cost Path algorithm to co‐register the road network and on a Before‐After Control‐Impact design to circumvent the inherent image‐to‐image variability in the estimated amount of exposed soil. We demonstrate this approach for a 357 000 km2 area around the Transamazon highway (BR‐230) in the Brazilian Amazon, encompassing 36 240 road segments. The reliability of this approach is assessed by comparing the estimated CYR using our approach to the observed CYR based on a time‐series of Landsat images. This exercise reveals a close correspondence between the estimated and observed CYR (). Finally, we show how these data can be used to assess the effectiveness of protected areas (PAs) in reducing the yearly rate of road construction and thus their vulnerability to future degradation. In particular, we find that integral protection PAs in this region were generally more effective in reducing the expansion of the road network when compared to sustainable use PAs.

The Andean Ibis (Theristicus branickii) in South America: potential distribution, presence in protected areas and anthropic threats

The avifauna of South America is one of the most widely studied groups of vertebrates. However, certain species, such as the Andean Ibis (Theristicus branickii), have received limited attention regarding their ecological patterns, biology, current distribution, and environmental requirements. This study analyzed observation data from the Global Biodiversity Information Facility (GBIF) on the Andean Ibis in four countries to identify and understand critical variables that determine the species’ presence, assess the proportion of its habitat within protected areas and identify possible threats to the species. Additionally, this study considered environmental and ecological variables to model ecological niches using the maximum entropy approach in MaxEnt to map the suitable habitat of the species. The findings revealed the extent of suitable Andean Ibis habitats in Ecuador, Peru, Bolivia and Chile. The variables that most determined the presence of the species were: altitude (36.57%), distance to lakes (23.29%) and ecological isothermality (13.34%). The distribution area of the Andean Ibis totaled 300,095.00 km2, spanning both sides of the Andean mountains range. Human activities have left a significant impact on the Andean Ibis habitat, with 48% of this area impacted by the human footprint and only 10% of the territory falling within protected areas designated by the respective countries. The results of this study show that the Andean Ibis presents characteristics of a specialist species due to its adaptation to the climate conditions of the plateau and highlands, including low temperatures, herbaceous vegetation and the presence of water bodies. The species is distributed in disconnected Andean landscape areas, whose functionality could be compromised by increased human activities. Complementary studies will be necessary to understand the ecological role and effectiveness of protected areas for conserving the species.

Governance and Conservation Effectiveness in Protected Areas and Indigenous and Locally Managed Areas

Increased conservation action to protect more habitat and species is fueling a vigorous debate about the relative effectiveness of different sorts of protected areas. Here we review the literature that compares the effectiveness of protected areas managed by states and areas managed by Indigenous peoples and/or local communities. We argue that these can be hard comparisons to make. Robust comparative case studies are rare, and the epistemic communities producing them are fractured by language, discipline, and geography. Furthermore the distinction between these different forms of protection on the ground can be blurred. We also have to be careful about the value of this sort of comparison as the consequences of different forms of conservation for people and nonhuman nature are messy and diverse. Measures of effectiveness, moreover, focus on specific dimensions of conservation performance, which can omit other important dimensions. With these caveats, we report on findings observed by multiple study groups focusing on different regions and issues whose reports have been compiled into this article. There is a tendency in the data for community-based or co-managed governance arrangements to produce beneficial outcomes for people and nature. These arrangements are often accompanied by struggles between rural groups and powerful states. Findings are highly context specific and global generalizations have limited value.

Assessing and optimizing the effectiveness of protected areas along China’s coastal region: A social-ecological protected area network study

Effectiveness of protected areas (EPA) evaluation has been used to measure the effectiveness of existing protected areas (PAs) and to identify prioritized and inefficient PAs. However, the current EPA evaluation remains incomplete, primarily due either to the scale of evaluation focusing on only isolated PAs without considering network connectivity or to the difficulty of balancing social and ecological synergy in practice. To address this issue, we proposed a social-ecological connectivity pathway to maximize the evaluation and optimization of EPA in a coastal region: first, we selected social and ecological indicators for habitat suitability evaluation and simulated the protected area network (PAN); second, we evaluated the rationality of network connectivity; and ultimately, we identified conservation gaps to the post-2020 global biodiversity target. Considering the complexity of coastal ecosystems, we selected the four coastal cities of the Shandong Peninsula, China as a case study. We find that (1) the social-ecological PAN consists of 370 primary corridors and 110 secondary corridors; there are 12 cross-ecosystem types in the identified PANs, three of which span marine to terrestrial ecosystems, while the remaining nine span terrestrial interior ecosystems; (2) 66 nodes were identified as spatial gaps; the benefit gap indicated that 51.75% of PAs were inefficiently protected but 48.25% were appropriately protected; regarding quantity gap, the marine PAs gap (25.41%) is much larger than the terrestrial PAs gap (15.80%), suggesting a possible priority in the marine PAs appropriately. Our study reveals that the EPA in the coastal region is currently weak and urgently needs to improve. Thus, we propose measures to optimize the EPA and suggest its potential application to other PAs in complex and vulnerable coastal regions.

Mixed population trends inside a California protected area: Evidence from long‐term community science monitoring

Protected areas are one of the most widespread and accepted conservation interventions, yet population trends of species within protected areas are rarely compared with regional trends to gain insight into their effectiveness. Here, we leverage two long‐term community science datasets, finding mixed effects of protected areas on long‐term bird population trends. We analysed 31 years of bird transect data recorded by community volunteers across all major habitats of Stanford University's Jasper Ridge Biological Preserve to determine the population trends for a sample of 66 species. We found that nearly a third of species experienced long‐term declines, and on average, species declined by 12%. Further, we averaged species trends by conservation status and key life history attributes to identify correlates and possible drivers of these trends. Observed increases in some cavity‐nesters and declines of scrub‐associated species suggest that long‐term fire suppression may be a key driver, reshaping bird communities through changes in forest and chaparral structure and composition. Additionally, we compared our results with those of the North American Breeding Bird Survey's Central California Coast region (n = 55 species) to place Jasper Ridge in a broader context. Most species experienced similar directional population trends inside and outside of the preserve and only eight species (14.5%) did better inside this small protected area. Therefore, we must identify relevant management strategies for declining populations and explicitly consider how existing protected areas target and manage each species. Further, this analysis underlines the importance of local and national community science for revealing long‐term bird population trends.

Effects of protected areas on soil nematode communities in forests of the North of Portugal

AbstractNature conservation policy is mainly concerned with aboveground terrestrial species and soil biodiversity has been largely ignored, resulting in a lack of information about the conservation status of most soil organisms and about the effects that nature conservation policies have on soil systems. Forests in Northern Portugal are characterized by a remarkable diversity of ecosystems and provide habitat for an enormous diversity of living organisms. This study aims to investigate whether and to what extent protected areas and forest typology (native vs. exotic) affect soil nematode biodiversity and functions in forest ecosystems. We studied soil nematode communities, which have been widely used for their bioindicator value, to: (i) assess differences in soil biodiversity and functions between protected and non-protected areas, and between native and exotic forest types; and (ii) infer how protected areas deal with pressures and drivers of soil biodiversity and functions. We showed that current work done by nature conservation in Northern Portugal is producing some significant effects on the soil system, showing a larger Structure and Omnivore footprints and greater abundance of fungivorous and omnivorous nematodes in protected areas. Furthermore, native forest areas are better suited to ensure soil biodiversity and ecological functioning and should have a greater importance in nature conservation measures. Soil organic carbon, apparent density, soil moisture, and deciduous forest cover mainly influenced soil functional biodiversity with higher nematode trophic groups being positively associated with soil organic carbon and moisture and negatively associated with apparent density. Finally, conservation efforts targeted at the protection of native forests need to better consider effects on soil biodiversity and function, to provide an integrated protection of both aboveground and belowground components.

Assessing the impacts of recreation on the spatial and temporal activity of mammals in an isolated alpine protected area.

The management objectives of many protected areas must meet the dual mandates of protecting biodiversity while providing recreational opportunities. It is difficult to balance these mandates because it takes considerable effort to monitor both the status of biodiversity and impacts of recreation. Using detections from 45 camera traps deployed between July 2019 and September 2021, we assessed the potential impacts of recreation on spatial and temporal activity for 8 medium- and large-bodied terrestrial mammals in an isolated alpine protected area: Cathedral Provincial Park, British Columbia, Canada. We hypothesised that some wildlife perceive a level of threat from people, such that they avoid 'risky times' or 'risky places' associated with human activity. Other species may benefit from associating with people, be it through access to anthropogenic resource subsidies or filtering of competitors/predators that are more human-averse (i.e., human shield hypothesis). Specifically, we predicted that large carnivores would show the greatest segregation from people while mesocarnivores and ungulates would associate spatially with people. We found spatial co-occurrence between ungulates and recreation, consistent with the human shield hypothesis, but did not see the predicted negative relationship between larger carnivores and humans, except for coyotes (Canis latrans). Temporally, all species other than cougars (Puma concolor) had diel activity patterns significantly different from that of recreationists, suggesting potential displacement in the temporal niche. Wolves (Canis lupus) and mountain goats (Oreamnos americanus) showed shifts in temporal activity away from people on recreation trails relative to off-trail areas, providing further evidence of potential displacement. Our results highlight the importance of monitoring spatial and temporal interactions between recreation activities and wildlife communities, in order to ensure the effectiveness of protected areas in an era of increasing human impacts.