Conservation Gaps Research Articles

A cause for hope: largely intact coral-reef communities with high reef-fish biomass in a remote Indonesian island group

Context The health of coral reefs is declining rapidly across the world because of anthropogenic impacts. In the mega-diverse Coral Triangle, the consequences of chronic overfishing and human use are worst near coastal population centres. Aims The remote islands and reefs in the centre of the Banda Sea (Indonesia) remain largely unstudied, but their distance from populated areas could provide protection from fishing. Methods We conducted the first visual census surveys of coral-reef communities at the uninhabited Lucipara group in the Banda Sea. Key results Sites showed medium to high coral cover and fish assemblages with high biomass, including abundant large predatory species. All sites exceeded the fish biomass conservation target of 1150 kg ha−1 proposed by McClanahan et al. (2015), by a factor of ~2–10. Benthic cover explained >50% of variance in fish abundance and diversity, with submassive corals, Dendrophyllia spp., and bare rock as key predictors. Conclusions Our results suggested that Lucipara’s reefs are among the healthiest in Indonesia, likely owing to their remoteness. However, this remoteness might also hamper policing against destructive fishing practices, highlighting a conservation gap. Implications Lucipara’s reef communities should be protected in a time of global coral-reef declines.

Global population estimate and conservation gap analysis for the Nordmann's Greenshank (Tringa guttifer)

Nordmann's Greenshank (Tringa guttifer) is a globally endangered species that has received little research attention. It is threatened by rapid habitat loss, an incomplete network of protected sites, and lack of long-term data on population dynamics. Citizen science data can be combined with survey data to support population estimation and conservation gap analysis. From 2020 to 2021, Nordmann's Greenshank was surveyed in Tiaozini, Xiaoyangkou, and Dongling on the southern coast of Jiangsu Province, China, and the global population of the species was re-evaluated using the data obtained. We integrated citizen science data from eBird and the China Bird Report from 2000 to 2020 with the survey results to identify important habitats harboring over 1% of its total population, and compared this data with existing protected areas to identify gaps in its global conservation. Our survey found that Tiaozini supported at least 1194 individuals. Consequently, its global population was re-estimated to be 1500-2000. Moreover, 45 important habitats were identified based on citizen data and survey results. Although 44.4% and 50.0% of the priority sites in the world and China, respectively, are located outside protected areas, the Conservation Effectiveness Index (C) is 68.4% and 71.1%, respectively, showing that the current coverage of protected areas for this part of its range is reasonable. This study presents the most complete and recent population data to date. Tiaozini is the most important migration stopover site for Nordmann's Greenshanks. The species is under threat in terms of breeding, wintering, and stopover sites. Therefore, we suggest improving monitoring, establishing new protected sites to complete the habitat protection network, and improving the effectiveness of existing habitat protection strategies, including further developing high tide roosting sites.

Land-Use Change, Habitat Connectivity, and Conservation Gaps: A Case Study of Shorebird Species in the Yellow River Delta of China Using the InVEST Model and Network Analysis

Coastal wetlands form a transition zone between terrestrial and marine environments and provide important ecosystem services. Land-use change in the coastal zone has a substantial effect on habitat connectivity and biodiversity. However, few studies have characterized the effects of land-use change on coastal habitat connectivity. We conducted remote sensing analysis, modeling with the Integrated Valuation of Ecosystem Services and Trade-offs model, geospatial analysis, and habitat connectivity analysis to evaluate historical spatiotemporal changes in the habitat quality and habitat connectivity of migratory shorebirds in the Yellow River Delta, which is an important stopover site along the East Asian–Australasian Flyway migratory route. Several high- and medium-quality areas have been converted to industrial mining and mariculture sites because of land reclamation. The probability of connectivity decreased by −66.7% between 1975 and 2020. Approximately 71.0%, 11.6%, and 5.8% of patches with high importance have been converted to non-habitat patches, habitat patches with medium importance, and habitat patches with low importance, respectively; approximately 58.9% and 11.7% of the patches with medium importance have been converted to non-habitat patches and habitat patches with low importance, respectively. The total priority conservation area was 389.4 km2, and 125.0 km2 (32.1%) of this area remains unprotected; these unprotected areas are mainly distributed in the northwestern and eastern parts of the Yellow River Delta. We recommend that the boundary of the Yellow River Delta National Nature Reserve be expanded to incorporate these unprotected areas.

Shared Landscapes: Optimising Conservation Strategies Using Tiger and Elephant Sympatry in India

Asian elephants (Elephas maximus) and tigers (Panthera tigris) share the same landscape in India. Elephants, which range over 239,171 km2, occupy 45.5% of the 433,261 km2 habitat that tigers inhabit. Equally, at least 40% of elephant corridors are used by tigers. A shared landscape offers opportunities for careful, integrated management strategies with shared resources. The species are protected differently in India, with tiger reserves being legal entities dedicated to the protection of tigers and their habitats, and Elephant Reserves being management units with no legal standing. With additional disparities in financial supports to tiger reserves—which receive 10 times more money than elephant reserves—it is obvious that the elephant reserves are being treated inequitably. Since the two species coexist in the same landscapes, efforts to protect tigers can help to make up for elephant conservation gaps and optimise the use of conservation resources by tweaking a few management and policy practices. In addition, the overlay of tigers using elephant corridors can efficiently secure habitat linkages for both species.

Come back to stay: landscape connectivity analysis for the Eurasian otter (Lutra lutra) in the western Alps

Assessing landscape connectivity allows defining the degree to which the landscape facilitates or impedes the movement of a species between resource patches. In this phase of climate change and biodiversity crisis, maintaining landscape connectivity by restoring and protecting connecting areas and corridors is a key strategy to ensure the survival of many species. The Eurasian otter (Lutra lutra) is a freshwater top predator that is slowly recovering after a dramatic decline occurred in central and southern Europe in the last century. To assess the chances of otter recolonization of the western Alps, we analyzed environmental connectivity by applying electrical circuit theory to an expert-based resistance surface using the Circuitscape software. The study area included southeastern France, northwestern Italy, and Switzerland. We produced a cumulative current flow map and a gap analysis was also conducted to highlight the “conservation gaps” for optimal corridors. The results revealed that the orography of the landscape was the main factor influencing the quantity and quality of the pathways in the western Alpine landscapes. As main corridors were concentrated on valley bottoms, human pressure could severely diminish animal movement. Despite this, some heavily populated areas showed high connectivity values. Some important pathways did not fall within protected areas, potentially hindering otter dispersal and highlighting the need to expand the system of protected areas in the Alpine arc. Recolonization of Alpine territories by otters can therefore only occur if connectivity and environmental suitability combine to ensure the animals' survival over time.

Suitability of Natura 2000 sites for threatened freshwater species under projected climate change

Abstract As part of the world's largest coordinated network of protected areas, Natura 2000, European Union member states designate special areas of conservation (SACs) to maintain or achieve favourable conservation status for imperilled aquatic species listed under Annex II of the Habitats Directive. Long‐term suitability of SAC habitats is potentially challenged by continuing climate change. To examine this emerging threat to aquatic species conservation, the habitat suitability of designated SACs (n = 8,221) for 24 Central European freshwater species (18 teleosts, two lampreys, two crayfish and two bivalves) was assessed under current and projected end‐of‐century climate using environmental niche models calibrated on species occurrences reported under the Habitats Directive (n = 33,995). Potential future conditions included three climate‐change scenarios representing a gradient from effective climate protection measures to a worst‐case warming scenario. Habitat suitability of SACs was consistently calculated as high under present climate but projected to decline severely for two‐thirds of the species under future climate conditions, with the magnitude of decline generally paralleling that of projected climate change. Under high emission scenarios, one third to more than half of the species were predicted to face unsuitable conditions in ≥75% of SACs. Predicted change in habitat suitability varied across biogeographical regions, with Alpine SACs often undergoing lower or no decline in predicted suitability. Given the discrepancy between the location of currently designated SACs and predicted areas of suitable habitat under projected end‐of‐century climate, climate change can be expected to undermine the long‐term effectiveness of currently protected areas. Fostering climate resilience of freshwater habitats within SACs, restoring stream connectivity among SACs, assisted migration to newly suitable SACs where natural dispersal is not possible, as well as designation of new protected areas within climate refugia represent key actions to overcome this potential future conservation gap.

Hotspots of (sub)alpine plants in the Irano‐Anatolian global biodiversity hotspot are insufficiently protected

AbstractAimThe mountainous regions in SW Asia harbour a high number of endemic species, many of which are restricted to the high‐elevation zone. The (sub)alpine habitats of the region are under particular threat due to global change, but their biodiversity hotspots and conservation status have not been investigated so far.LocationSubalpine‐alpine habitats of SW Asia.MethodsDistribution data of all (sub)alpine vascular plant species of the region were compiled, resulting in 19,680 localities from 1672 (sub)alpine species, the majority of them being restricted to the region (76%). Six quantitative indices of species diversity were used on the basis of 0.5° × 0.5° grid cells to identify (sub)alpine hotspots. Hotspots whose surface area in the (sub)alpine zone was covered by nature reserves maximally by 10% were defined as conservation gaps.ResultsA high proportion (80%) of the endemic species of the study area is range‐restricted and narrowly distributed. The results of all six indices were highly correlated. Using the top 5%, 10% and 20% richest cells supported by any index, 32, 53 and 98 cells, respectively, were identified as Hotspots. Almost 60% of these Hotspots at all three levels were identified as unprotected (i.e. constituted Conservation Gaps). Generally, only 22%, 18% and 16%, respectively, of the alpine surface area of the identified Hotspots were covered by nature reserves for the top 5%, 10% and 20% richest cells, respectively.Main conclusionsAlthough the rate of protection in (sub)alpine Hotspots exceeds that of the entire region it is still insufficient, because these Hotspots are much richer in endemic and in range‐restricted species, but at the same time are under high pressure of global change. Therefore, the establishment of new nature reserves with high conservation efficiency in (sub)alpine habitats with a particular focus on the identified Hotspots is strongly recommended.

Species Distribution Modeling of the Breeding Site Distribution and Conservation Gaps of Lesser White-Fronted Goose in Siberia under Climate Change

Climate change has become an important cause of the loss of bird habitat and changes in bird migration and reproduction. The lesser white-fronted goose (Anser erythropus) has a wide range of migratory habits and is listed as vulnerable on the IUCN (International Union for Conservation of Nature) Red List. In this study, the distribution of suitable breeding grounds for the lesser white-fronted goose was assessed in Siberia, Russia, using a combination of satellite tracking and climate change data. The characteristics of the distribution of suitable breeding sites under different climate scenarios in the future were predicted using the Maxent model, and protection gaps were assessed. The analysis showed that under the background of future climate change, temperature and precipitation will be the main climatic factors affecting the distribution of breeding grounds, and the area associated with suitable breeding habitats will present a decreasing trend. Areas listed as an optimal habitat only accounted for 3.22% of the protected distribution; however, 1,029,386.341 km2 of optimal habitat was observed outside the protected area. Obtaining species distribution data is important for developing habitat protection in remote areas. The results presented here can provide a basis for developing species-specific habitat management strategies and indicate that additional attention should be focused on protecting open spaces.

Strengthening protected areas for climate refugia on the Tibetan Plateau, China

Protected areas (PAs) are at the forefront of efforts to conserve and restore biodiversity, while climate change can risk compromising the ecological benefits of PAs. Therefore, targeting conservation and adaptation efforts necessitate a well-understand of the relationship between PAs and climate refugia, defined as the regions can buffer the impact of climate change. Recent attempts to identify climate refugia were primarily based on terrain-mediated features or climatic velocity, ignoring the ecosystem's internal processes. This work identified climate refugia on the Tibetan Plateau (TP), an amplifier of drastic global climate warming, based on environmental diversity, phenology stability and climatic velocity, highlighting the capacity to cope with extreme weather events, synchronization with plant growth cycles and future climate adaptation, respectively. The results show the distribution of climate refugia using different environmental diversity indicators (e.g., vegetation and topography) vary slightly but differs substantially from the priorities using phenology stability and climatic velocity. For instance, the high distribution probability of climate refugia derived from environmental diversity and climatic velocity is mainly concentrated at low (<3000 m) or high elevations (>6000 m), while the one using phenology stability is mainly observed at 3000 m–3800 m. The inconsistent distribution of different types of refugia weakens the potential of functional complementarity. The existing nature reserves, the primary type of PAs in China, have critical conservation gaps in different types of climate refugia, indicating the urgency of incorporating climate refugia into PAs conservation planning on TP. Our work could help inform local conservation policies and improve the effectiveness of PAs.

Using Tracking Data to Identify Gaps in Knowledge and Conservation of the Critically Endangered Siberian Crane (Leucogeranus leucogeranus)

The critically endangered Siberian crane (Leucogeranus leucogeranus) is the world’s third most endangered species of crane. Despite the enhanced conservation actions in recent years, there are pieces of evidence that suggest that its population is continuously decreasing. To gain insights into the possible causes of the population decline, we tracked nine Siberian cranes in Russia and Mongolia using GPS transmitters. We obtained migration episodes based on over 0.31 million subsequent locations from 3283 bird days between June 1995 and December 2021. Siberian cranes migrated an average of 5604 ± 362 km in spring from wintering to breeding areas and a mean of 5265 ± 454 km from breeding to wintering areas. We identified 35 staging sites along the migration corridor, including 17 critical staging sites at which birds staged for &gt;14 days and 18 stopover sites that supported individuals for more than two days within a ca. 200 km-wide migratory corridor. Of the areas used by the tagged cranes, 77% of the breeding areas in Russia, 55% of the staging areas, 99% of the non-breeding summering area in Mongolia, and 50% of the wintering areas in Poyang Lake in China lay outside the current protected area network. Although we should be prudent about interpreting the conservation gaps of the entire population from only a few tracked birds, these results strongly suggest that the current protection network for this numerically rare species is inadequate, requiring urgent review.

Conservation gaps for Neotropical vipers: Mismatches between protected areas, species richness and evolutionary distinctiveness

The continuous decline in biodiversity despite global efforts to create new protected areas calls into question the effectiveness of these areas in conserving biodiversity. Numerous habitats are absent from the global protected area network, and certain taxonomic groups are not being included in conservation planning. Here, we analyzed the level of protection that the current protected area system provides to viper species in the Neotropical region through a conservation gap analysis. We used distribution size and degree of threat to set species-specific conservation goals for 123 viper species in the form of minimum percentage of their distribution that should be covered by protected areas, and assessed the level of protection provided for each species by overlapping their distribution with protected areas of strict protection. Furthermore, using species richness and evolutionary distinctiveness as priority indicators, we conducted a spatial association analysis to detect areas of special concern. We found that most viper species have <1/4 of their distribution covered by protected areas, including 22 threatened species. Also, the large majority of cells containing high levels of species richness were significantly absent from protected areas, while evolutionary distinctiveness was particularly unprotected in regions with relatively low species richness, like northern Mexico and the Argentinian dry Chaco. Our results provide further evidence that vipers are largely being excluded from conservation planning, leaving them exposed to serious threats that can lead to population decline and ultimately extinction.

Comparison of IUCN and species distribution modeling-estimated ranges of shorebirds in Coastal Mainland China

Large areas of unsuitable habitat are often included within the extent of occurrence (EOO) of species, such as the EOO defined by the IUCN (EOOiucn), because the techniques used to estimate the EOO of species often depend on topological methods that do not account for ranges of environmentally suitable habitat. Assessments of the EOO of species are important because they are used in conservation status evaluations. We generated species distribution models in MaxEnt using citizen science data for 8 shorebird species inhabiting China’s coasts from multiple open data sources along with environmental variables to estimate the EOO of these species (EOOm). We then compared EOOm and EOOiucn and assessed the conservation status of these species according to the distribution of national nature reserves. EOOm was generally smaller than EOOiucn for the 8 shorebird species. Over 80 % of the EOOm of the 8 shorebird species did not fall within any national nature reserves, revealing large conservation gaps. Some of unprotected EOOm of these species overlaps with high human footprint area, especially in the Bohai Bay and the Jiangsu–Shanghai coastal region. Our results highlight the need for strengthened conservation effort for unprotected EOOm showing little overlap with national nature reserves, especially in the Bohai Bay and Jiangsu–Shanghai coastal regions.

Distribution of Breeding Population and Predicting Future Habitat under Climate Change of Black-Necked Crane (Grus nigricollis Przevalski, 1876) in Shaluli Mountains.

Simple SummaryThe black-necked crane is the only crane species that breeds on the Qinghai–Tibetan plateau, and habitat destruction and loss are the major threats to it. The Shaluli Mountains, located in a biological hotspot, is an important breeding site for the central population of the black-necked crane, but its population size and distribution, as well as shifts in distribution under climatic change, remain unknown. Therefore, we conducted a field survey and modeled the breeding black-necked crane habitat with a species distribution model in the region. The results showed that the number of breeding black-necked cranes in the area was about 200, and they were mainly distributed in a gentle meadow and wetland along the lake. Climate change will increase the potentially suitable habitat area, with a trend of northwestward expansion and upward migration, as well as an increase in habitat suitability and connectivity. In addition, more conservation gaps will arise, but the conservation role of existing protected areas will not decline. Therefore, we suggest strengthening the long-term monitoring of black-necked cranes and wetland resources in this area.Climate change is affecting biodiversity by altering the geographical distribution range of species, and this effect is amplified in climate-sensitive areas. Studying the geographic distribution of flagship species in response to climate change is important for the long-term conservation of species and the maintenance of regional biodiversity. Therefore, we collected field survey records from 2016 to 2020 and conducted field surveys of black-necked cranes in the Shaluli Mountains (SLLMs) in May–June and August–October 2021; 103 breeding records were acquired totally, and the geographical distribution range under the current and four future climate scenarios was modeled with the MaxEnt model to predict the impact of climate change on its distribution and habitat quality. The results showed that 152 black-necked cranes were surveyed in seven counties of SLLMs in total; the estimated number of black-necked cranes in the entire SLLMs was about 200. The currently suitable habitat area is 27,122 km2, mainly distributed in gentle meadows and wetland habitats along the lake where the Annual Mean Temperature is −1 °C and the Mean Diurnal Range (16 °C) and Precipitation Seasonality (105) are comparatively large. Furthermore, the breeding range would expand to varying degrees under future climate scenarios and showed a migration trend toward the northwest and higher elevation. Besides, as time goes by, the habitat for black-necked cranes in SLLMs would become more homogeneous and more suitable. The conservation effectiveness of the existing reserve network would keep stable with climate change, although there are large conservation gaps between protected areas, and these gaps will gradually expand over time. Overall, this study provides a preliminary understanding of the population and distribution and predicts the future distribution of black-necked cranes in the SLLMs. It also demonstrates the importance of SLLMs for protecting the central population of black-necked cranes and maintaining regional biodiversity. Therefore, we recommend long-term monitoring and conservation of the black-necked crane population and wetland resources in the region.

The fate of giant panda and its sympatric mammals under future climate change

Assessing the vulnerability of biodiversity under global climate change is one of the major tasks in ecology and conservation biology. Although species' vulnerability to climate change depends on habitat exposure, species sensitivity and adaptability, multifaceted studies on the impacts of climate change on biodiversity are still lacking. The aim of this study was to fill this gap by assessing the vulnerability of giant panda with its sympatric mammal species in Sichuan province of China, through the climate niche factor analysis. We found that species sensitivity plays a greater role than habitat exposure in determining the vulnerability of these species under future climate change, which doesn't closely match their current conservation status. Besides, these mammals were predicted to be more vulnerable at lower altitudes or latitudes. In particular, Daxiangling and Liangshan mountains emerge as the most vulnerable places to climate change. The conservation gap analysis demonstrated that the current protected area network covers no more than 5 % of the most vulnerable areas. Together, these results highlight the importance of using multifaceted analyses by integrating species sensitivity and habitat exposure to assess climate-related risks to better inform biodiversity conservation and management.

Integration of hotspot identification, gap analysis, and niche modeling supports the conservation of Chinese threatened higher plants

AbstractA significant fraction of higher plants in China are threatened due to dramatic landscape transformation and increasing climate change. However, the conservation effectiveness of threatened higher plants (THPs) and their response to climate change are still underexplored to date. Based on the latest list of THPs in China, we obtained 102 593 occurrence records with latitude and longitude for 3858 THPs. By integrating the distribution patterns of three biodiversity indexes (i.e., species richness, species complementarity, and weighted endemism) and 10 plant categories, we identified hotspots for THPs and calculated the conservation effectiveness of nature reserves. We then selected 1959 THPs to project the shift of species richness and range sizes under climate change (representative concentration pathway [RCP] 2.6 and RCP 8.5). In total, 16 hotspot areas covering 7.38% of Chinese land area and containing 91.73% of THPs were identified. Current nature reserves protected 35.05% of hotspots, 73.07% of all THPs, and 56.64% of narrow‐ranged species. By the 2070s, the species richness of THPs were predicted to decrease in Southeast and Central China, and 42.42% (RCP 2.6) and 51.40% (RCP 8.5) of the 1959 THPs would confront habitat contraction. Future conservation efforts should focus on the conservation gaps and carry out targeted conservation for THPs with narrow distribution range. In order to cope with climate change, the hotspots with relatively low species loss can serve as important areas to contain current species diversity and the areas with high species gain offer opportunities for ex‐situ conservation of THPs.

Mapping the Mangrove Forest Restoration Potential and Conservation Gaps in China Based on Random Forest Model

Background and objective: The area of mangroves is gradually decreasing globally, and mangroves are already one of the most threatened ecosystems. Despite net growth in the mangrove areas in China, the restoration potential of mangroves is still insufficient. This study proposed the Random forest model as an excellent data mining method to map the restoration potential based on the predicted probability of mangrove habitat suitability.Methods: We demonstrated the vital environmental variables influencing habitat suitability. The de-cisive advantages of RFM were parsimonious (variables selection), cost-effective (us-ing existing open-source data), accurate (training AUC was 0.89, testing AUC was 0.91), highly efficient (fast-training speed); and its results had high explanatory power. Here, we first mapped the conservation gaps using the RFM.Results: The results showed that temperature was the most important environmental factor influencing the habitat suit-ability of mangroves. The northern limit of suitable areas was around 24°44' N. The theoretical suitable habitat area for mangrove was 196,566.6 ha (the highly suitable area was 32,551.4 ha, the medium suitable area was 164,015.2 ha). The potential area for mangrove restoration was 176,264 ha (Guangdong with 104215.4 ha, Guangxi with 65957.5 ha).Conclusion: We proposed 24 sites with conservation gaps for mangrove forests restoration and nine potential sites as examples for the further restoration plan. We took one example site with high restoration potential for further explanation: how the key environmental factors influence the habitat suitability and how to use the infor-mation to guide the restoration strategies. RFM can be used as a data mining algo-rithm for the utmost use of the presence-only ecological data, objectively evaluating the suitability of species distribution, and providing scientifically technical data for species restoration planning.

Protection gaps in Amazon floodplains will increase with climate change: Insight from the world's largest scaled freshwater fish

Abstract The Amazon floodplains represent important surfaces of highly valuable ecosystems, yet they remain neglected from protected areas. Although the efficiency of the protected area network of the Amazon basin may be jeopardized by climate change, floodplains are exposed to important consequences of climate change but are omitted from species distribution models and protection gap analyses. The present and future (2070) distribution of the giant bony‐tongue fish Arapaima spp. (Arapaimidae) was modelled accounting for climate and habitat requirements, and with a consideration of dam presence (already existing and planned constructions) and hydroperiod (high‐ and low‐water stages). The amount of suitable environment that falls inside and outside the current network of protected areas was quantified to identify spatial conservation gaps. We predict that climate change will cause a decline in environmental suitability by 16.6% during the high‐water stage, and by 19.4% during the low‐water stage. About 70% of the suitable environments of Arapaima spp. remain currently unprotected. The gap is higher by 0.7% during the low‐water stage. The lack of protection is likely to increase by 5% with future climate change effects. Both existing and projected dam constructions may hamper population flows between the central, Bolivian and Peruvian parts of the basin. We highlight protection gaps mostly in the south‐western part of the basin and recommend the extension of the current network of protected areas in the floodplains of the upper Ucayali, Juruà and Purus rivers and their tributaries. This study has shown the importance of integrating hydroperiod and dispersal barriers in forecasting the distribution of freshwater fish species, and stresses the urgent need to integrate floodplains within the protected area networks.

Biodiversity priority areas and conservation strategies for seed plants in China.

China is known for its abundant plant resources, but biodiversity conservation faces unprecedented challenges. To provide feasible suggestions for sustainable conservation, we used the species richness algorithm and complementary algorithm to study distribution patterns of 34,082 seed plants based on 1,007,196 county-level distribution records. We reconstructed a phylogenetic tree for 95.35% of species and estimated the spatial phylogenetics, followed by correlation analyses between different distribution patterns. We identified 264 counties concentrated in southern and south-western mountainous areas as hotspots which covered 10% of the land area of China and harbored 85.22% of the Chinese seed plant species. The biodiversity conservation priorities we identified were highly representative as we have considered multiple conservation indicators. We evaluated the conservation effectiveness and gaps in the network of nature reserves and identified 31.44, 32.95, and 9.47%, respectively, of the hotspot counties as gaps in the national nature reserves, provincial nature reserves and both together, with respectively 55.77, 61.53, and 28.94% of the species. Analysis of the species composition showed there were a large number of threatened and endemic species occurring in the nature reserves’ gaps. The conservation gaps need to be filled by establishing new nature reserves or national parks, especially in south-western China, and more attentions should be paid to strengthen the conservation of specific plant taxa due to the apparent mismatches between different distribution patterns.

Ecological niche modeling, niche overlap, and good old Rabinowitz’s rarities applied to the conservation of gymnosperms in a global biodiversity hotspot

ContextBiodiversity hotspots harbor 77% of endemic plant species. Patagonian Temperate Forest (PTF) is a part of a biodiversity hotspot, but over the past centuries, has been over-exploited, fragmented and replaced with exotic species plantations, lately also threatened by climate change.ObjectivesOur aim is to better understand patterns of habitat suitability and niche overlap of nine endemic gymnosperm species, key elements of the PTF, complementing traditional approaches of biodiversity conservation.MethodsUsing R packages and 3016 occurrence data, we deployed ecological niche models (ENM) in MaxEnt via kuenm, and classified species according to Rabinowitz’s types of rarity. We then overlapped their niches calculating Schoener's D index, and considered types of rarity in a spatial ecological context. Finally, we overlay high species’ suitability and protected areas and detected conservation priorities using GapAnalysis.ResultsWe generated simplified ENMs for nine Patagonian gymnosperms and found that most niches overlap, and only one species displayed a unique niche. Surprisingly, we found that three species have divergent suitability of habitats across the landscape and not related with previously published geographic structure of neutral genetic variation. We showed that the rarer a species is the smaller niche volume tend to have, that six out of nine studied species have high conservation priority, and that there are conservation gaps in the PTF.ConclusionOur approach showed that there are unprotected suitable areas for native key species at high risk in PTF. Suggesting that integrating habitat-suitability models of multiple species, types of rarity, and niche overlap, can be a handy tool to identify potential conservation areas in global biodiversity hotspots.

Name and scale matter: Clarifying the geography of Tibetan Plateau and adjacent mountain regions

Geographical names and the entities they represent act as a fundamental cornerstone across numerous disciplines. However, inconsistent geographical names and arbitrarily defined regional geographical scales are common, hindering cross-disciplinary communication and synthesis. The Pan-Tibetan Highlands, comprising the Tibetan Plateau, Himalaya, Hengduan Mountains and Mountains of Central Asia, is a case in point. To rectify these inconsistencies of terminology, we employed a multi-disciplinary approach to standardize the nomenclature of the Tibetan Plateau and the three adjacent mountain regions, defining their spatial extent using historical and contemporary perspectives. A literature meta-analysis indicated that ‘Tibetan Plateau’, ‘Himalaya’ and ‘Hengduan Mountains’ are the most suitable names for these regions in terms of both priority (earliest use) and popularity, whereas ‘Mountains of Central Asia’ emerges as appropriate for the mountain chains to the west of the Tibetan Plateau. The new term ‘Pan-Tibetan Highlands’ is proposed to replace the less precise and arguably misleading ‘High Mountain Asia’ for these regions collectively. Additionally, new geographical boundaries, applicable back through time, are proposed for each region, based on geological and geomorphological features. Using these new boundaries, the Pan-Tibetan Highlands area is 3.95 × 106 km2 with a mean elevation of 3824 m, while the Tibetan Plateau is smaller (1.82 × 106 km2) and higher (4465 m) than commonly assumed. Across the Pan-Tibetan Highlands, the proportion of protected areas is far below the proposed 30% anticipated in the post-2020 Global Biodiversity Framework target with only a few exceptions. Additionally, the Hengduan Mountains showed the highest vascular plant species richness and endemism, followed by Himalaya, Mountains of Central Asia and the Tibetan Plateau. The obvious conservation gap in the Pan-Tibetan Highlands calls for urgent research-based optimization of conservation networks. Our approach benefits quantitative spatial analysis by providing well-defined geographical scales for various fields, aiding cross-disciplinary comparisons and synthesis.