The changing landscape of ecological networks

Ecological networks provide an operational methodology for the implementation of regional conservation strategy and planning that goes beyond protected area designation to integrate the spatial scale of ecological processes and social issues. However, the pertinence of ecological networks as a conservation strategy has recently provoked debate. In this paper we present a discussion of the conceptual limits of ecological network implementation in order to identify the issues which underlie the transition of models and knowledge from science to action. Our examination illustrates how a more collective and explicit management of complexity and uncertainty concerning the ecological processes which such networks supposedly integrate could greatly strengthen the links between science and policy and thereby provide for more effective spatial landscape planning. In this way, the ecological action network could be reframed not as a simple objective but rather as a means for integrated conservation policy.     

Analyzing the change in long-term information provision on cat management around a world natural heritage site

Providing accurate long-term information is essential in enhancing invasive species management. The management of invasive species—for example, outdoor cats—depends on human behavior and requires cooperation among stakeholders. Previous studies have evaluated stakeholders’ attitudes concerning invasive species, however, far too little attention has been paid to long-term information provisions. This study analyzes the information on cats in the Ogasawara Islands, a World Natural Heritage Site in Japan. We used monthly newsletters published by the local government for 21 years, which contain 150 articles about cats. We then applied content analysis to the data to assess both the frequency of keywords and co-occurrence network of words in order to understand the trends in keywords’ appearances and changing contexts. We categorized the data into three periods of seven years each, and found distinct differences. Results showed that information on cat management has gradually changed, as policies have changed. In the first period, there were three co-occurrence networks, which focused on capturing outdoor cats, proper keeping of pet cats, and veterinary care. During the second period, there were two networks, which focused on cat and World Natural Heritage Site management. During the third period, all keywords were connected into one network that included the words “outdoor cat,” “pet,” and “World Natural Heritage Site.” The changes imply that contents of information have shifted from pest management to ecosystem management. Visualizing how this information is provided over the long-term can remind stakeholders of previous communication efforts and enhance their cooperation on future conservation.     

Game theory-based stakeholder analysis of marine nature reserves and its case studies in Guangdong Province,China

Marine nature reserves (MNRs) play an important role in biodiversity conservation and ecosystem restoration, which are valuable for marine resource protection in China. Many stakeholders are involved in MNRs. The interactions between MNR managers and other stakeholders affect the effectiveness of MNR management. This work divided MNR stakeholders into three categories and applied the analytical hierarchy process (AHP) to identify the key stakeholders. The game model was set up to analyze the strategies of MNR staff and stakeholders. The situation of key stakeholders and management was studied in two MNRs in Guangdong Province through field research and questionnaires. The results showed that fishermen were the main stakeholders in the two cases. The strategies adopted by MNR staff to improve the efficiency of law enforcement and decrease the probability of illegal activities of fishermen are to increase penalties, improve the arrest rate of illegal activities, and reduce the cost of law enforcement per patrol. We suggested that the fishermen’s negative impacts could be minimized by establishing a market management system to reduce illegal earnings, a record-keeping system to share additional benefits only with the fishermen who comply with the law, and an association mechanism in the coastal province to control illegal fishing across provincial boundaries. Identifying key stakeholders and analyzing their relationships could be helpful to find out the best strategy for different MNRs. Building a community of shared interests among various stakeholders could be a promising way to resolve conflicts and improve management effectiveness in MNRs.     

Connecting human–nature relationships to environmental behaviors that minimize the spread of aquatic invasive species

Management of aquatic invasive species (AIS) is widely recognized as a global conservation concern driven by myriad factors, particularly individual behaviors. A burgeoning literature focused on the human dimensions of AIS has begun to provide insight into the complexities of behavior change; however, most studies are bound to specific geographic locales and have prevented resource management agencies from making regionally valid statements about the anthropogenic factors contributing to biological invasions. We examined stakeholders’ awareness and knowledge of AIS transmission in an evaluation of educational outreach campaign logos and illustrated how human–nature relationships were related to behaviors relevant to AIS reduction at two case study sites. Drawing from a thematic analysis of data from semi-structured interviews with organisms-in-trade hobbyists and recreational water users in the state of Illinois, we observed high awareness of environmental impacts and modes of transmission by the two groups. Both awareness advanced through AIS outreach and a diversity of human–nature relationships were helpful for understanding reported environmental behaviors. Specifically, stakeholders’ views of their relationships with nature affected decisions to engage in activities that contributed to social-ecological change. Results also revealed preferences for national rather than state-level outreach campaign logos, which carry implications for designing communication strategies that will minimize the likelihood of biological invasions in freshwater ecosystems.     

Building strong relationships between conservation genetics and primary industry leads to mutually beneficial genomic advances

Several reviews in the past decade have heralded the benefits of embracing high‐throughput sequencing technologies to inform conservation policy and the management of threatened species, but few have offered practical advice on how to expedite the transition from conservation genetics to conservation genomics. Here, we argue that an effective and efficient way to navigate this transition is to capitalize on emerging synergies between conservation genetics and primary industry (e.g., agriculture, fisheries, forestry and horticulture). Here, we demonstrate how building strong relationships between conservation geneticists and primary industry scientists is leading to mutually‐beneficial outcomes for both disciplines. Based on our collective experience as collaborative New Zealand‐based scientists, we also provide insight for forging these cross‐sector relationships.     

Forecasting suitable areas for wind turbine occurrence to proactively improve wildlife conservation

The United States is rapidly expanding production of renewable energy to meet increased energy demands and reduce greenhouse gas emissions. Wind energy is at the forefront of this transition. A central challenge is understanding the nexus between wind energy development and its capacity for negative effects on wildlife causing population declines and habitat loss. Collaboration among conservationists and developers, early in the planning process, is crucial for minimizing wind-wildlife conflicts. Such collaborations require data showing where wind and wildlife impacts occur. To meet this challenge and inform decision-making, we provide natural resource agencies and stakeholders information regarding where future wind turbines may occur, and the potential affects on natural resource management, including the conservation of priority species and their habitats. We developed a machine learning model predicting suitability of wind turbine occurrence (hereafter, wind turbine suitability) across an eight-state region in the United States, representing some of the richest areas of wind potential. Our model incorporates predictor variables related to infrastructure, land ownership, meteorology, and topography. We additionally created a constraint layer indicating areas where wind would likely not be developed because of zoning, protected lands, and restricted federal agency proximity guidelines. We demonstrate how the predictive wind turbine suitability model informs conservation planning by incorporating animal movement models, relative abundance models coupled with spatial conservation planning software, and population density models for three exemplar, high priority species often affected by wind energy: whooping cranes (Grus americana), golden eagles (Aquila chrysaetos), and lesser prairie-chickens (Tympanuchus pallidicinctus). By merging the wind turbine and biological models, we identified conservation priority areas (i.e., places sharing high suitability for wind turbines and species use), and places where wind expansion could minimally affect these species. We use our “species-wind turbine occurrence relationships” to demonstrate applications, illustrating how forecasting areas of wind turbine suitability promotes wildlife conservation. These relationships inform wind energy siting to reduce negative ecological impacts while promoting environmental and economic viability.     

Matrix composition and landscape heterogeneity structure multiple dimensions of biodiversity in temperate forest birds

Quantifying how human-modified landscapes shape the distribution of biodiversity is critical for developing effective conservation strategies. To address this, we evaluated three hypotheses (habitat area, habitat configuration and matrix heterogeneity hypotheses) that predict responses of biodiversity to landscape structure in human-modified landscapes. We compared characteristics of landscape structure that influence taxonomic (TD), functional (FD), and phylogenetic (PD) dimensions of biodiversity of breeding birds in temperate forests. Relationships between biodiversity and landscape structure were assessed at multiple spatial scales for 20 forest interior sites in northeastern USA. We assessed if relationships with landscape structure were consistent among dimensions and assemblages of different groups (residents, migrants and all birds). Relationships between dimensions of biodiversity and landscape structure were more prevalent for FD and PD than for TD. Forest amount and configuration were rarely associated with any dimensions of biodiversity. In contrast, the identity of the matrix and heterogeneity of the landscape were frequently associated with biodiversity, but relationships differed among groups of birds. For example, FD of all birds was associated positively with landscape diversity but FD of residents was associated negatively with landscape diversity, suggesting that landscape diversity surrounding forests may increase overall FD of birds but that not all groups of species respond similarly. Indeed, biodiversity of migrants was only weakly related to landscape structure. Differences among relationships to landscape structure for bird groups and spatial scales suggests that management plans should consider local decisions within a regional framework to balance potentially conflicting needs of species groups in human-dominated landscapes.     

Identifying Snake Species Threatened by Economic Exploitation and International Trade in China

It is important to identify endangered species from thousands of species and take conservation measures in time. Many researchers have reported declines and overexploitation of snake species, but it is difficult to identify the species requiring emergency concern. We tried to identify the snake species threatened by economic exploitation in mainland China through the following procedure: First, we identified 16 snake species in significant international trade through analyzing trade records; second, we chose 10 variables representing biological characteristics and economics factors. The values of these variables for each species were evaluated from 0 (minimum risk) to 3 (high risk). Three snake species protected by CITES (Convention on International Trade in Endangered Species of Wild Fauna and Flora) were also assessed. We then got the priority rank of these species by calculating their average scores. We found that among the species in significant international trade, except those CITES-listed ones, four snake species were at extremely high risk, while all other snake species in significant trade were endangered or vulnerable. Principal component analysis (PCA) was used to classify the species into four groups according to their different biological and economic characteristics. This study provides a possible way to identify endangered species and to rank their conservation priority. The results of this paper can also be used as a priority sequence for taking conservation action, especially trade control measures.     

Spatial network structure and robustness of detritus-based communities in a patchy environment

The mechanisms that regulate the spatial distribution of species are an essential aid to understanding the effects of the environment on the persistence of populations and communities. The effects of spatial structure on the persistence and robustness of ecological communities can, in turn, prove useful in uncovering their functioning, e.g., in the decomposition of leaf detritus. We applied the framework of complex networks to evaluate the effects of spatial structure on the colonization process of leaf detritus in a patchy aquatic environment, with a spatial network of six pools at different salinity. We found three well-defined modules formed by groups of taxa sharing the same pools, observing an association between modularity and spatial proximity of pools. Modules maximize the number of links within modules, and minimize the number of links among modules, showing the presence of a strong site-specific association between taxa and pools. The topological characteristics of the network show robustness against random perturbations and a lower tolerance of targeted perturbations. These findings suggest that random events, such as flooding or heavy rains, slightly affect the robustness of the system, while localized perturbations on the most connected nodes could have a negative effect on the connectivity of the whole network. The consequences could lead to a structural and functional homogenization of the system, with potential effects for the entire trophic chain. Here we discuss the topological properties of the network in relation to the spatial distribution of pools, showing how network analysis can yield valuable insight for conservation and management.     

Dynamic effects of ground-layer plant communities on beetles in a fragmented farming landscape

Vegetation effects on arthropods are well recognized, but it is unclear how different vegetation attributes might influence arthropod assemblages across mixed-agricultural landscapes. Understanding how plant communities influence arthropods under different habitat and seasonal contexts can identify vegetation management options for arthropod biodiversity. We examined relationships between vegetation structure, plant species richness and plant species composition, and the diversity and composition of beetles in different habitats and time periods. We asked: (1) What is the relative importance of plant species richness, vegetation structure and plant composition in explaining beetle species richness, activity-density and composition? (2) How do plant-beetle relationships vary between different habitats over time? We sampled beetles using pitfall traps and surveyed vegetation in three habitats (woodland, farmland, their edges) during peak crop growth in spring and post-harvest in summer. Plant composition better predicted beetle composition than vegetation structure. Both plant richness and vegetation structure significantly and positively affected beetle activity-density. The influence of all vegetation attributes often varied in strength and direction between habitats and seasons for all trophic groups. The variable nature of plant-beetle relationships suggests that vegetation management could be targeted at specific habitats and time periods to maximize positive outcomes for beetle diversity. In particular, management that promotes plant richness at edges, and promotes herbaceous cover during summer, can support beetle diversity. Conserving ground cover in all habitats may improve activity-density of all beetle trophic groups. The impacts of existing weed control strategies in Australian crop margins on arthropod biodiversity require further study.     

柴达木野生黑果枸杞的空间遗传结构

基于cpDNA序列, 研究柴达木野生黑果枸杞(Lycium ruthenicum)的遗传多样性、遗传结构和单倍型进化关系, 可为其种群的遗传保护提供理论依据。该研究基于3个筛选的叶绿体多态引物: psbA-trnH、psbK-psbI和trnV, 利用群体遗传分析方法研究柴达木盆地野生黑果枸杞的遗传变异格局: 利用软件DnaSP 6.0和Permut 2.0计算分子多样性指标, 利用分子方差分析研究组间和种群间的遗传变异来源, 利用单倍型网络分析和主坐标分析研究单倍型的聚类关系; 利用最大似然树和贝叶斯系统树分析单倍型的谱系进化关系。结果显示: 叶绿体序列psbA-trnH、psbK-psbI和trnV拼接后的总长度为1 454 bp, 鉴别出14个核苷酸变异位点, 共定义了7个单倍型。种群间总的遗传多样(h_T)和种群内遗传多样性(h_S)分别为0.916和0.512。AMOVA分析结果表明, 80%以上的遗传变异来源于组间和种群间。叶绿体单倍型的贝叶斯系统树和最大似然树均表明柴达木盆地黑果枸杞种群聚为2支: 德令哈和格尔木为一支, 诺木洪为另一支。单倍型网络和主坐标分析结果揭示的拓扑结构和聚类关系与系统树一致。Mantel检验结果表明柴达木黑果枸杞种群间的遗传距离与地理距离存在显著的弱相关关系(r = 0.591 1, p = 0.000 9)。柴达木盆地黑果枸杞种群具有较高的遗传多样性, 种群间遗传分化显著。从遗传多样性保护的角度而言, 具有较高遗传多样性的诺木洪林业站和格尔木新乐村种群可划分为保护管理单元。     

Extinction risk of Chinese angiosperms varies between woody and herbaceous species

Aim

Understanding how species' traits and environmental contexts relate to extinction risk is a critical priority for ecology and conservation biology. This study aims to identify and explore factors related to extinction risk between herbaceous and woody angiosperms to facilitate more effective conservation and management strategies and understand the interactions between environmental threats and species' traits.

Location

China.

Taxon

Angiosperms.

Methods

We obtained a large dataset including five traits, six extrinsic variables, and 796,118 occurrence records for 14,888 Chinese angiosperms. We assessed the phylogenetic signal and used phylogenetic generalized least squares regressions to explore relationships between extinction risk, plant traits, and extrinsic variables in woody and herbaceous angiosperms. We also used phylogenetic path analysis to evaluate causal relationships among traits, climate variables, and extinction risk of different growth forms.

Results

The phylogenetic signal of extinction risk differed among woody and herbaceous species. Angiosperm extinction risk was mainly affected by growth form, altitude, mean annual temperature, normalized difference vegetation index, and precipitation change from 1901 to 2020. Woody species' extinction risk was strongly affected by height and precipitation, whereas extinction risk for herbaceous species was mainly affected by mean annual temperature rather than plant traits.

Main conclusions

Woody species were more likely to have higher extinction risks than herbaceous species under climate change and extinction threat levels varied with both plant traits and extrinsic variables. The relationships we uncovered may help identify and protect threatened plant species and the ecosystems that rely on them.     

Spatial genetic structure of Lycium ruthenicum in the Qaidam Basin

基于cpDNA序列, 研究柴达木野生黑果枸杞(Lycium ruthenicum)的遗传多样性、遗传结构和单倍型进化关系, 可为其种群的遗传保护提供理论依据。该研究基于3个筛选的叶绿体多态引物: psbA-trnH、psbK-psbI和trnV, 利用群体遗传分析方法研究柴达木盆地野生黑果枸杞的遗传变异格局: 利用软件DnaSP 6.0和Permut 2.0计算分子多样性指标, 利用分子方差分析研究组间和种群间的遗传变异来源, 利用单倍型网络分析和主坐标分析研究单倍型的聚类关系; 利用最大似然树和贝叶斯系统树分析单倍型的谱系进化关系。结果显示: 叶绿体序列psbA-trnH、psbK-psbI和trnV拼接后的总长度为1 454 bp, 鉴别出14个核苷酸变异位点, 共定义了7个单倍型。种群间总的遗传多样(h_T)和种群内遗传多样性(h_S)分别为0.916和0.512。AMOVA分析结果表明, 80%以上的遗传变异来源于组间和种群间。叶绿体单倍型的贝叶斯系统树和最大似然树均表明柴达木盆地黑果枸杞种群聚为2支: 德令哈和格尔木为一支, 诺木洪为另一支。单倍型网络和主坐标分析结果揭示的拓扑结构和聚类关系与系统树一致。Mantel检验结果表明柴达木黑果枸杞种群间的遗传距离与地理距离存在显著的弱相关关系(r = 0.591 1, p = 0.000 9)。柴达木盆地黑果枸杞种群具有较高的遗传多样性, 种群间遗传分化显著。从遗传多样性保护的角度而言, 具有较高遗传多样性的诺木洪林业站和格尔木新乐村种群可划分为保护管理单元。     

Core concepts of spatial prioritisation in systematic conservation planning

Systematic conservation planning (SCP) is a field of conservation biology concerned with delivering on‐the‐ground actions that achieve conservation goals. It describes a set of operational models that cover both design and implementation of conservation, with a strong focus on mobilising the collective action typically required to implement conservation. SCP, as it was originally described, was composed of six different stages: collection of data, identification of conservation goals, evaluation of the existing protected area network, design of expansions, implementation of conservation action, and long‐term maintenance of biodiversity in the network. Since then, the operational model has been expanded into several different variants. Conservation actions applied inside SCP include establishment and expansion of reserve networks and allocation of habitat restoration and management. Within the broader context of SCP, there is a fundamental biogeographic‐economic analysis frequently called spatial conservation prioritisation or conservation assessment, which is used for identifying where important areas for biodiversity are and how conservation goals might be achieved efficiently. Here, we review the usage and meaning of the 12 biogeographic‐economic core concepts of SCP: adequacy, complementarity, comprehensiveness, effectiveness, efficiency, flexibility, irreplaceability, replacement cost, representation, representativeness, threat, and vulnerability. Some of the concepts have clear definitions whereas others may have alternative and possibly conflicting definitions. With a comprehensive literature review literature, we elucidate the historical backgrounds of these concepts, the first definitions and usages, alternative later definitions, key applications, and prior reviews. This review reduces linguistic uncertainty in the application of SCP. Since SCP is a global activity with a multitude of different stakeholders involved, it is vital that those involved can speak the same language. Through these concepts, this review serves as a source of information about the historical development of SCP. It provides a comprehensive review for anyone wishing to understand the key concepts of spatial prioritisation within SCP.     

Identifying Mozambique's most critical areas for plant conservation: An evaluation of protected areas and Important Plant Areas

Successful protected area networks must represent biodiversity across taxonomic groups. However, too often plant species are overlooked in conservation planning, and the resulting protected areas may, as a result, fail to encompass the most important sites for plant diversity. The Mozambique Tropical Important Plant Areas project sought to promote the conservation of Mozambique's flora through the identification of Important Plant Areas (IPAs). Here, we use the Weighted Endemism including Global Endangerment (WEGE) index to identify the richest areas for rare and endemic plants in Mozambique and subsequently evaluate how well represented these hotspots are within the current protected area and IPA networks. We also examine the congruence between IPA and protected areas to identify opportunities for strengthening the conservation of plants in Mozambique. We found that high WEGE scores, representing areas rich in endemic/near-endemic and threatened species, predict the presence of IPAs in Mozambique, but do not predict the presence of protected areas. We also find that there is limited overlap between IPAs and protected areas in Mozambique. We demonstrate how IPAs could be an important tool for ensuring priority sites for plant diversity are included within protected area network expansions, particularly following the adoption of the “30 by 30” target agreed within the post-2020 Convention on Biological Diversity framework, with great potential for this method to be replicated elsewhere in the global tropics.     

种间互作网络的结构、生态系统功能及稳定性机制研究

生态群落中不同物种间发生多样化的相互作用, 形成了复杂的种间互作网络。复杂生态网络的结构如何影响群落的生态系统功能及稳定性是群落生态学的核心问题之一。种间互作直接影响到物质和能量在生态系统不同组分之间的流动和循环以及群落构建过程, 使得网络结构与生态系统功能和群落稳定性密切相关。在群落及生态系统水平上开展种间互作网络研究将为群落的构建机制、生物多样性维持、生态系统稳定性、物种协同进化和性状分化等领域提供新的视野。当前生物多样性及生态系统功能受到全球变化的极大影响, 研究种间互作网络的拓扑结构、构建机制、稳定性和生态功能也可为生物多样性的保护和管理提供依据。该文从网络结构、构建机制、网络结构和稳定性关系、种间互作对生态系统功能的影响等4个方面综述当前种间网络研究进展, 并提出在今后的研究中利用机器学习和多层网络等来探究环境变化对种间互作网络结构和功能的影响, 并实现理论和实证研究的有效整合。     

The genetic network of greater sage‐grouse: Range‐wide identification of keystone hubs of connectivity

Genetic networks can characterize complex genetic relationships among groups of individuals, which can be used to rank nodes most important to the overall connectivity of the system. Ranking allows scarce resources to be guided toward nodes integral to connectivity. The greater sage‐grouse (Centrocercus urophasianus) is a species of conservation concern that breeds on spatially discrete leks that must remain connected by genetic exchange for population persistence. We genotyped 5,950 individuals from 1,200 greater sage‐grouse leks distributed across the entire species’ geographic range. We found a small‐world network composed of 458 nodes connected by 14,481 edges. This network was composed of hubs—that is, nodes facilitating gene flow across the network—and spokes—that is, nodes where connectivity is served by hubs. It is within these hubs that the greatest genetic diversity was housed. Using indices of network centrality, we identified hub nodes of greatest conservation importance. We also identified keystone nodes with elevated centrality despite low local population size. Hub and keystone nodes were found across the entire species’ contiguous range, although nodes with elevated importance to network‐wide connectivity were found more central: especially in northeastern, central, and southwestern Wyoming and eastern Idaho. Nodes among which genes are most readily exchanged were mostly located in Montana and northern Wyoming, as well as Utah and eastern Nevada. The loss of hub or keystone nodes could lead to the disintegration of the network into smaller, isolated subnetworks. Protecting both hub nodes and keystone nodes will conserve genetic diversity and should maintain network connections to ensure a resilient and viable population over time. Our analysis shows that network models can be used to model gene flow, offering insights into its pattern and process, with application to prioritizing landscapes for conservation.     

Public education improves farmers knowledge and management of invasive alien species

Research into the human dimensions of invasive alien species (IAS) management has received great attention to date. However, little is known about how public education influences stakeholders knowledge and management of IAS. Using key informant interviews and household questionnaires, we explored the role of public education in farmers knowledge and management of invasive Mikania micrantha in the China-Myanmar Border Region (China). We found ten common educational approaches that farmers were familiar with and/or adopted, and a high level of knowledge and management among farmers. We also found that public educational approaches helped to improve farmers knowledge and management, with some differences due to socio-demographic factors. We conclude that promotional materials and training workshops work better than personal experience, and that training workshops perform best. These results suggest that improving the design and implementation of public education could contribute to effective communication among stakeholders and long-term management of IAS. Our findings provide important insights for adopting public education programs in IAS management.

     

The culture of bird conservation: Australian stakeholder values regarding iconic,flagship and rare birds

Iconic, flagship and rare threatened bird taxa attract disproportionate amounts of public attention, and are often used to enable broader conservation strategies. Yet, little is known about why certain taxa achieve iconic or flagship status. Also unclear is whether the perception of rarity among those acting to conserve threatened birds is sufficient to influence attitudes and behaviour that lead to effective conservation action and, if so, which characteristics of rare birds are important to their conservation. We interviewed 74 threatened bird conservation stakeholders to explore perceptions about iconic, flagship and rare threatened birds and classified their attitudes using a new typology of avifaunal attitudes. There was a relationship between societal interest and conservation effort for threatened species characterised as iconic, flagship and rare. Iconic species tended to arouse interest or emotion in people due to being appealing and readily encountered, thereby attracting conservation interest that can benefit other biodiversity. Flagships tended to have distinguishing physical or cultural characteristics and were used to convey conservation messages about associated biodiversity. Attitudes about rarity mostly related to a taxon’s threatened status and small population size. Rarity was important for threatened bird conservation but not always associated with attitudes and behaviour that lead to effective conservation action. We conclude that conservation action for individual threatened bird taxa is biased and directly influenced by the ways taxa are socially constructed by stakeholders, which is specific to prevailing culture and stakeholder knowledge.     

Roost sites of chimney swift (Chaetura pelagica) form large‐scale spatial networks

Several biodiversity‐centered metrics exist to quantify the importance of landscape and habitat features for conservation efforts. However, for species whose habitat use is not quantified by these metrics, such as those in urban areas, we need a method to best identify features for targeted conservation efforts. We investigated the use of social network analysis (SNA) to identify and quantify these critical habitat features. We used SNA to identify network existence in chimney swift (Chaetura pelagica) roost usage, quantify the importance of each roost site, and evaluate the impact of the loss of key sites. We identified a network consisting of ten chimney swift roosts in southern Nova Scotia, Canada, and found that 76% of swifts used more than one roost throughout the breeding season. We also isolated three key (most connected) roost sites. We evaluated the effect of loss of these key sites on the network by using a Wilcoxon‐Pratt signed‐rank test and by analyzing the structure of the subsequent network. We found that connections between roosts and the structure of the network were significantly affected by the loss of these key sites. Our results show that SNA is a valuable tool that can identify key sites for targeted conservation efforts for species that may not be included in conservation efforts focused purely on biodiversity.