Size Of Protected Areas Research Articles

Human Impacts and Larger Geographic Area Explain the Highest Number of Non‐Native Species of Freshwater Fishes Into Brazilian Protected Area

ABSTRACTNon‐native species represent a significant threat to biodiversity, particularly in aquatic environments where they are often introduced for purposes such as fishing or the aquarium trade. This study aimed to evaluate the influence of isolation and the size of federal protected areas (PAs) on the number of non‐native and native freshwater fish species in Brazilian PAs. Data from Brazilian PAs were gathered, including year of creation, buffer of human impacts around the PA, PA categories, coverage by freshwater, tourist visits, sampling sites, geographical coordinates (predictor variables) and information on the number of non‐native and native freshwater fish species (response variables). Linear regression analysis was employed to examine the influence of predictor variables on the number of non‐native and native fish species. A total of 33 different non‐native fish species were identified, with Poecilia reticulata, Hyphessobrycon eques, Hoplias lacerda and Cichla kelberi being the most widespread, occurring in 15, 7, 5 and 4 distinct PAs, respectively. The overall fish biodiversity within PAs encompassed 2670 species, with the National Park of Anavilhanas and the Environmental Protection Area of Ilha e Várzea do Paraná exhibiting the highest species richness. Greater human impact, larger coverage by freshwater and increased sampling effort were positively correlated with the number of recorded non‐native species. Factors such as year of creation, type of PA and tourist visitation did not have a significant effect. In contrast, native species exhibited a higher number of occurrences in PAs with lower human impact, longer histories, larger freshwater coverage areas and more extensive sampling efforts. These findings underscore the necessity for comprehensive management strategies to mitigate the impact of non‐native species on biodiversity within PAs.

Diversity and ecotourism on multipurpose marine protected areas

Beyond its ecological benefits, there is a growing call for the establishment of marine protected areas (MPAs) for varied economic activities. Due to the decline in the wild catch, there is an increase in demand for farmed fish and a call for the development of aquaculture production in marine protected areas. In addition, the diversity in marine protected areas is suitable for the introduction of a tourism industry. Therefore, we need to design a clear scientific management system that balances the main goal of marine protected areas with the economic benefits, of aquaculture and tourism activities. This paper aims to determine the optimal size of the marine protected areas, the aquaculture size in the protected areas, and the level of tourism activities that maximize the overall benefit of the stakeholders. This is vital for the co-existence and sustainability of different sectors such as aquaculture production, tourism activities, and open-access fisheries.

Reaction-diffusion for fish populations with realistic mobility

Nonlinear reaction-diffusion equations, with Fisher logistic growth and constant diffusion coefficient, have been used in fisheries research to estimate sustainable harvesting rates and critical domain sizes of no-take areas. However, constant diffusivity in a population density corresponds to standard Brownian motion of individuals, with a normal distribution for displacement over a fixed time interval. For available good data sets on mobile fish populations, the distribution is certainly not normal. The data can be fitted with a long-tailed stable Lévy distribution that results from diffusion by fractional Laplacian. Exact multidimensional solutions are developed here for realistic Fisher–Kolmogorov–Petrovski-Piscounov models with diffusion by fractional Laplacian. These can also account for a delay in the reaction term. It is then shown how to modify critical domain sizes of protected areas with Dirichlet and Robin boundary conditions for populations.

The Vulnerability of Malagasy Protected Areas in the Face of Climate Change

This study examines the vulnerability of Madagascar’s protected areas (PAs) to climate change, focusing on climate change velocity, and its impact on biodiversity. We analyzed current and near future climate data using principal component analysis (PCA) and climate change velocity metrics to predict shifts in climatic conditions from the present to the near future, while under the mild and extreme emission scenarios (SSP 126, SSP 585). Forward velocities, which are characterized by the minimum distances that must be overcome by species to keep in track with their appropriate comparative climate, are most pronounced in western and southern Madagascar. In contrast, the backward velocity, which uses future climatic conditions in grid cells in comparison to current conditions, is more common in the eastern regions of the island, and hints at the minimum distance that organisms would have to overcome in colonizing a new habitat. Even though the correlations between PA size and climate change velocity are weak, there is a tendency for larger PAs to exhibit more stable climatic conditions. Conservation strategies must prioritize enhancing the resilience of PAs through adaptive management to mitigate climate impacts. Our findings provide crucial insights for policymakers and conservation planners to develop climate-smart strategies that ensure the long-term efficacy of Madagascar’s PA network.

Using key and critical biodiversity areas to identify gaps in the protected area network in the Limpopo Province, South Africa

AbstractThe Kunming‐Montreal Global Biodiversity Framework (KMGBF) commits signatories to expand the global protection of land and sea by 30% in 2030. Additionally, in South Africa, a local target set in 2016 aims to conserve 16% of terrestrial areas using protected areas within a two‐decade time frame. Concurrently, it is crucial to recognize and prioritize sites where biodiversity must be protected immediately. This recognition has given rise to global Key Biodiversity Areas (KBAs) and South Africa's Critical Biodiversity Areas (CBAs). KBAs are sites of significance for the global persistence of biodiversity. In South Africa, CBAs delineate primarily or partially natural areas needing management. Despite their significance, an assessment of KBAs and CBAs in South Africa's Limpopo province, specifically the Vhembe District, is lacking. Employing GIS techniques, our evaluation focused on the coverage, size, and distribution of protected areas in the Vhembe District. Our analysis revealed that protected areas cover an impressive 38% of the Vhembe District. Critical Biodiversity Areas cover 9465 km2 (36%) of the region. Alarmingly, 70% (6809 km2) of these CBA sites lack protection. Additionally, KBAs cover 30% of the region, with 39% of sites covering approximately 3273 km2 and laying outside the protected area network, rendering them entirely unprotected. Sluggish protected areas establishment rates and a deficiency in the strategic targeting of significant sites have resulted in over 10,000 km2 of land warranting protection, particularly along the Soutpansberg Mountain Range. Moreover, South Africa's national target, established in 2016, which aims to protect a mere 16% of terrestrial areas by 2036, falls short of the global KMGBF target, reinforcing the urgency for an update in national policy and embracing other conservation methods. These findings suggest that, despite the commendable 38% protection of the district, setting a precedent for the rest of the country, there is a crucial need for municipalities, districts, and provinces to draw insights from the shortfalls of the Vhembe District.

Increasing the size and coverage of protected areas will not be enough for effective biodiversity conservation

KEY POLICY INSIGHTS Socio-economic issues must be addressed simultaneously to agree in theoretical issues for the management of extant and new protected areas. An increase in the area covered by protected areas does not guarantee biodiversity conservation. The global development model, based on economic growth, is the major impediment to biodiversity conservation.

Socialscape Ecology: Integrating Social Features and Processes into Spatially Explicit Marine Conservation Planning

Conservation planning is the process of locating, implementing, and maintaining areas that are managed to promote the persistence of biodiversity, ecosystem function, and human use. In this review, we analyze the ways in which social processes have been integrated into Marxan, a spatially explicit conservation planning tool used as one step in a broader process to select the location and size of protected areas. Drawing on 89 peer-reviewed articles published between 2005 and 2020, we analyzed the ways in which human activity, values, and processes are spatialized in the environment, something we call socialscape ecology. A socialscape ecology approach to conservation planning considers not only the spatial configuration of human activity in a land or seascape but also the underlying drivers of these activities, how resource use rights and access operate in an area, and how resource users contribute to data collection and decision making. Our results show that there has been a small but statistically significant increase in the total number of cost variables into Marxan analysis over time, with uneven performance across seven of the nine categories assessed. One notable area of improvement has been the increase over time in number of studies integrating socio-environmental change (e.g., climate change) in their analysis. Including accurate, context-specific, and detailed accounts of social features and processes within land and seascapes is essential for developing conservation plans that are cost-effective, ecologically sound, socially desirable, and just.

Evaluating the effectiveness of protected area management in Indonesia

AbstractProtected areas worldwide are strongholds for safeguarding biodiversity, natural habitats, ecosystem services and cultural values. Yet despite their importance, the effectiveness of protected area management varies greatly. Indonesia is a biodiversity hotspot, with 554 protected areas that cover 27 million ha across the archipelago. To assess and improve the management effectiveness of these protected areas, the Government of Indonesia applied an adapted version of the Management Effectiveness Tracking Tool (METT) to assess 422 of the country's protected areas, of which 170 were repeatedly assessed in 2015, 2017 and 2019. We investigated the METT score changes across these protected areas and the factors explaining the varying scores. Over the study years, METT scores significantly improved (mean increase of 44.1%). National parks had the highest mean score, which was 13.4 points higher than other protected area types. After correcting for spatial autocorrelation using a generalized least-squares model, we found that METT score increase was positively influenced by year of assessment and having a well-resourced management authority, with no influence of protected area size or mean protected area budget allocation per ha. The assessments identified five main threats to protected areas: poaching, illegal logging, human settlements, tourism and non-timber cultivation. The widespread and repeated use of METT across the protected areas of Indonesia and the increasing METT scores indicate an overall improvement in management and professionalism. Building on the foundational work in our study, future studies should assess the association between METT scores and progress made towards achieving the conservation objectives of protected areas.

Protected area development examination based on land use curve number value changes in Nusantara National Capital Region

This study examines the impact of land use changes on the intended extent of protected areas in the Nusantara National Capital Region (IKN). This study’s land use changes result from land use projections based on the IKN’s spatial plan (RTRW IKN) and land use projections considering the potential flood inundation areas for the Q100 recurrence interval, as determined by Clue analysis. Regression analysis with SPSS is used to determine the relationship between one or more independent variables (predictors) and a dependent variable (response variable) to analyze the mathematical equation used to calculate the size of protected areas. The analysis results reveal alterations in the size of protected areas within a watershed due to variations in the Curve Number (CN) values. A more excellent CN value reduces the extent of protected areas in a watershed and vice versa. This study is anticipated to provide helpful information for spatial planning decisions in the IKN, particularly in the Government Core Centre (KIPP) region.

Validating hidden Markov models for seabird behavioural inference.

Understanding animal movement and behaviour can aid spatial planning and inform conservation management. However, it is difficult to directly observe behaviours in remote and hostile terrain such as the marine environment. Different underlying states can be identified from telemetry data using hidden Markov models (HMMs). The inferred states are subsequently associated with different behaviours, using ecological knowledge of the species. However, the inferred behaviours are not typically validated due to difficulty obtaining 'ground truth' behavioural information. We investigate the accuracy of inferred behaviours by considering a unique data set provided by Joint Nature Conservation Committee. The data consist of simultaneous proxy movement tracks of the boat (defined as visual tracks as birds are followed by eye) and seabird behaviour obtained by observers on the boat. We demonstrate that visual tracking data is suitable for our study. Accuracy of HMMs ranging from 71% to 87% during chick-rearing and 54% to 70% during incubation was generally insensitive to model choice, even when AIC values varied substantially across different models. Finally, we show that for foraging, a state of primary interest for conservation purposes, identified missed foraging bouts lasted for only a few seconds. We conclude that HMMs fitted to tracking data have the potential to accurately identify important conservation-relevant behaviours, demonstrated by a comparison in which visual tracking data provide a 'gold standard' of manually classified behaviours to validate against. Confidence in using HMMs for behavioural inference should increase as a result of these findings, but future work is needed to assess the generalisability of the results, and we recommend that, wherever feasible, validation data be collected alongside GPS tracking data to validate model performance. This work has important implications for animal conservation, where the size and location of protected areas are often informed by behaviours identified using HMMs fitted to movement data.

Proximity and size of protected areas in Asian borderlands enable transboundary conservation

Asia has over 80% of the Earth’s border hotspots for threatened transboundary wildlife, yet only limited research has been done on the distribution of protected areas across international borders in the continent. To address this gap, we conducted a spatial analysis of protected areas across 42 Asian countries. Our study aimed to understand the distribution, proximity, and land-use changes within border protected areas. Two cases were examined, evaluating the spatial relationships at different buffer distances from international borders. Our findings revealed that Asian countries have larger protected areas in borderlands, particularly up to 50 km from borders, as compared to regions further away from the border. Importantly, the median distance between protected areas across international borders is nearly three times shorter than those within the same country. However, the rate of change in natural habitats within protected areas between 2001 and 2019 showed no correlation with their distance from the border. The proximity of protected areas across Asian borders offers opportunities for enhancing connectivity. A larger extent of multi-use protected areas (IUCN1-6+) near borders compared to strict protected areas (IUCN1-4) can facilitate the engagement of communities, which are crucial in transboundary conservation initiatives. Our results can help Asian countries as they work toward their commitments as part of the Kunming–Montreal Global Biodiversity Framework to protect at least 30% of the Earth’s surface area by 2030.

A meta‐analysis examining how fish biodiversity varies with marine protected area size and age

AbstractMarine protected areas (MPAs) are a well‐established conservation practice worldwide, but their effectiveness in protecting or replenishing fish biodiversity remains uneven. Understanding the patterns of this heterogeneity is central to general guidelines for MPA design and can ultimately provide guidance on how to maximize MPA potential. Here, we examine associations between the degree of protection, duration of protection, and protected area size, with fish biodiversity inside of protected areas relative to that of sites nearby, but outside of protected areas. We quantitatively synthesize 116 published estimates of species richness from 72 MPAs and 38 estimates of Shannon entropy from 21 MPAs. We show that species richness is on average 18% (95% CIs: 10%–29%) higher in protected areas than in areas open to fishing; on average, Shannon entropy is 13% (95% CIs: −2% to 31%) higher within protected areas relative to outside. We find no relationship between the degree and duration of protection with the ratio of species richness inside versus outside of protected areas; both fully and partially protected areas contribute to the accumulation of species inside of protected areas, and protected areas of all ages contribute similarly on average to biodiversity conservation. In contrast to our expectations, increasing protected area size was associated with a decreased ratio of species richness sampled at sites inside versus outside of the protected area, possibly due, for example, to insufficient enforcement and/or low compliance. Finally, we discuss why meta‐analyses such as ours that summarize effect sizes of local scale biodiversity responses, that is, those at a single site, can only give a partial answer to the question of whether larger protected areas harbor more species than comparable unprotected areas.

Mobile phone data reveals spatiotemporal recreational patterns in conservation areas during the COVID pandemic

Understanding visitation patterns is crucial in developing effective conservation strategies for protected areas, as it serves as an indicator for operating an ecosystem management plan that balances biodiversity and ecosystem services intertwined with public health and social benefits. However, limited data availability during the COVID-19 pandemic has hindered the comprehensive understanding of temporal changes in realized cultural ecosystem services, particularly in recreational activities within these areas. Our study utilized GPS data from mobile phones to quantify visitor characteristics and their contribution to recreational ecosystem services in protected areas at a national scale during the COVID-19 pandemic. We estimated the pandemic's relative impact on visitor patterns at 98 visitor centers in national parks and Ramsar sites in Japan. The total number of visitors and travel distance in various sizes of protected areas decreased after the outbreak of COVID-19. The number of visitors in the protected areas displayed a quick recovery despite the increasing positive COVID-19 cases during the following summer. Post-pandemic, visitors showed a preference for less densely populated protected areas closer to their home range. Our findings partly suggest that protecting a diverse range of conservation areas along the urban gradient could be an effective strategy for maintaining the resilience of recreational services during a prolonged pandemic.

Fire Protection Principles and Recommendations in Disturbed Forest Areas in Central Europe: A Review

Forest fires are becoming a more significant problem in Central Europe, but their danger is not as high as that in Southern Europe. The exception, however, is forest fires occurring in disturbed areas (windthrow and bark beetle outbreak areas), which are comparable in severity and danger to the most serious forest fires. In this study, we describe the current situation in Central European countries in terms of fire protection for disturbed areas in managed forests and forest stands left to spontaneously develop (secondary succession). If a country has regulations and strategies in this area, they are often only published in the local language. In this review, we combine information from all Central European countries and summarize it in a unified international language, provide an opportunity for local authorities to express their own experiences, and integrate data from worldwide scientific research. Thus, this paper may be considered a universal guide for managing fire protection and preparedness in disturbed areas and can serve as a reference for the establishment of strict legislative rules at the state level. These laws must be obligatory for all stakeholders in individual countries. The motivation for this study was two large forest fires in an area left to spontaneously develop in the Bohemian Switzerland National Park in the Czech Republic and Harz Mountains in Germany in the summer of 2022. These incidents revealed that fire prevention legislation was inadequate or nonexistent in these areas. The strategy of the European Union is to increase the size of protected areas and spontaneous development areas. Therefore, we consider it necessary to provide governments with relevant information on this topic to create conditions for better management of these destructive events.

Management of gillnet bycatch of cetaceans in New Zealand

Bycatch of dolphins in inshore gillnets first attracted scientific and management attention in New Zealand in the 1980s. During 1984-88, 50-150 dusky dolphins were killed each year at Kaikoura in gillnets set at the surface to catch bait for rock lobster. At the same time, annual catches of 20-100 Hector’s dolphins occurred in Canterbury waters in bottom-set commercial and recreational gillnets. These catches resulted in the banning of surface-set gillnetting at Kaikoura in 1989 and in the creation of the Banks Peninsula Marine Mammal Sanctuary in 1988 to protect Hector’s dolphin. An additional gillnet closure was established to protect North Island Hector’s dolphin in 2003. A key problem is that current information on catches in these and other areas is scant. One observer programme has been successfully implemented in a commercial gillnet fishery (Canterbury area, 1997/98 fishing season). Its estimate of Hector’s dolphin bycatch (17) is clearly unsustainable by the local population. Pingers have been voluntarily used in these fisheries, but there are no data establishing their effectiveness, and it has not been possible to ensure consistency of pinger use. There are no reliable estimates of numbers taken in recreational fisheries. Area closures are used to mitigate gillnet bycatch of Hector’s dolphin, however it appears that the Banks Peninsula Marine Mammal Sanctuary is not large enough to ensure the persistence of the Canterbury population. There is a bycatch limit in place for this population, although it is unenforced. We argue that management of this species via bycatch limits is not practical, however. Hector’s dolphin’s low abundance and separation into several distinct populations means that appropriate bycatch limits would be very small, and this necessitates very comprehensive observer coverage to be confident they are not exceeded. We propose that increasing the size of protected areas is the most reliable option for conservation.

Identifying socioeconomic and biophysical factors driving forest loss in protected areas.

Protected areas (PAs) are a commonly used strategy to confront forest conversion and biodiversity loss. Although determining drivers of forest loss is central to conservation success, understanding of them is limited by conventional modeling assumptions. We used random forest regression to evaluate potential drivers of deforestation in PAs in Mexico, while accounting for nonlinear relationships and higher order interactions underlying deforestation processes. Socioeconomic drivers (e.g., road density, human population density) and underlying biophysical conditions (e.g., precipitation, distance to water, elevation, slope) were stronger predictors of forest loss than PA characteristics, such as age, type, and management effectiveness. Within PA characteristics, variables reflecting collaborative and equitable management and PA size were the strongest predictors of forest loss, albeit with less explanatory power than socioeconomic and biophysical variables. In contrast to previously used methods, which typically have been based on the assumption of linear relationships, we found that the associations between most predictors and forest loss are nonlinear. Our results can inform decisions on the allocation of PA resources by strengthening management in PAs with the highest risk of deforestation and help preemptively protect key biodiversity areas that may be vulnerable to deforestation in the future.

Shifting the conservation Overton window

Shifting the conservation Overton window

Sleeping accommodations for researchers increase the likelihood of biodiversity inventories in protected areas

AbstractBiodiversity assessments are important for successful conservation initiatives. However, many protected areas (PAs) still have no biodiversity inventories of important species‐rich taxa, such as invertebrates, that deliver important ecosystem services (e.g., pollination, nutrient cycling) or are biological indicators. Here, we investigated if the likelihood of having arthropod inventories in PAs (state parks) was influenced by PA size, date of PA creation, distance to the nearest university, main vegetation type (forest/savanna), and availability of accommodations for researchers by inspecting management plans from 61 PAs in southeastern Brazil. Only 13 PAs (22%) had arthropod inventories considered in park management plans. The availability of accommodations for researchers was the only variable influencing the likelihood of a PA to have arthropod inventories. A modest investment (around US$35,000 in Brazil) is required to make accommodations available for researchers in a PA and may positively impact information acquisition that is key to planning and protecting biodiversity.

Using the Rao's Q diversity index as an indicator of protected area effectiveness in conserving biodiversity

Developing innovative monitoring systems for biodiversity outcomes in protected areas (PAs) are important to enable effective adaptive management. Here we show how to quantitatively detect and monitor temporal and spatial patterns in environmental heterogeneity, an important indicator of ecological integrity and biodiversity patterns. We used a 28-year time series (1991–2018) generated from freely available Landsat satellite imagery and Rao's quadratic index to calculate relative heterogeneity and trends in heterogeneity for 41 PAs across South Africa. We selected PAs where mega-herbivore assemblages were similar and where management objectives were broadly aligned with South African legislation to protect biodiversity. There was a three-fold difference in heterogeneity among PAs, mainly linked to variation in topography and rainfall. Heterogeneity decreased in 12 (29%), increased in three (7%) and remained stable in 26 (64%) PA's. These trends were not explained by overall heterogeneity, PA size, or rainfall – i.e., PAs that were smaller, drier, and more homogenous were not more likely to show decreasing trends than PAs that were larger, wetter, and generally more heterogenous. Rather trends in heterogeneity are likely the result of interactions between regional process (e.g., rainfall) and local factors such fire regimes, megaherbivore densities, and park management. The framework presented here can be extended to include every PA nationally, or even globally, and the data product fully automated. This presents an opportunity for conservation management to incorporate this important biodiversity indicator in PA monitoring programs as well as other large-scale ecological monitoring initiatives.

Assessing variation in the effectiveness of IUCN protected area categorisation. What remotely sensed forest integrity and human modification reveals across the major tropical forest biomes

• We focused on evaluating the efficacy of forested protected areas (PAs) across the three main tropical biomes- Congo Basin, Tropical Andes, insular Malaysia and Indonesia. • PA efficacy was evaluated on the basis of ecoregional representation, human modification and forest integrity. • Representation of key ecoregions varied with 7%, 11% and 22% of named ecoregions being unprotected within each major region. • IUCN management categories play a minor role in influencing PA efficacy. • PA size was an important determinant of PA efficacy. One of the major threats facing protected areas (PAs) in hyper-diverse tropical forest ecosystems is human modification of their natural habitats. With a focus on forested PAs situated across three of the world’s major tropical regions, the Congo Basin, insular Indonesia Malaysia and the Tropical Andes. We analyse their representation of identified ecoregions and remote sensing data of human modification and forest integrity levels within PAs and used a generalized linear modelling approach to estimate the influences on these pressures, with a particular focus on IUCN management categorisation, PA size, and geographic location. Representation of key ecoregions varied with 7%, 11% and 22% of named ecoregions being unprotected within each major region. Overall, the IUCN management category allocation played a minor role in influencing the modification and forest integrity observed within PAs. Instead, PA size was the most important determinant of these variables across the different regions under consideration. This work provides further evidence to suggest that the assignment of PAs to IUCN categories in their current form is not interpreted consistently across different regions and does not correspond to the conservation benefits expected to be conferred by this categorisation.