Priority Areas For Conservation Research Articles

Integrating fuzzy analytic hierarchy process into ecosystem service-based spatial planning: A case study of the Shenyang metropolitan area, China

Incorporating ecosystem services (ESs) into spatial planning is crucial for effective environmental management and achieving sustainable development goals. While the Analytic Hierarchy Process (AHP) is a commonly employed method for multicriteria analysis of ESs, it has faced criticism for its limited ability to handle inherent imprecision and uncertainties. Consequently, we proposed an assessment framework for ESs using the Fuzzy Analytic Hierarchy Process (FAHP) and implemented it in the Shenyang Metropolitan Area (SMA), a key political and economic center in Northeast China. We quantified eight types of ESs (water yield, food supply, water regulation, carbon storage, waste regulation, soil retention, habitat quality, and outdoor recreation) within SMA. The FAHP was utilized to determine the weights of these ESs. Subsequently, we presented a normalized index to identify priority conservation and development areas. Our results indicated that the primary areas for conservation were mainly located in the southwest and east of Benxi City, the southeast of Fushun City, and the southeast of Anshan City, whereas areas for development were primarily in the northwest of Shenyang City. Through comparing various ES integration methods, our study underscores the effectiveness of FAHP in ES evaluation. The research also highlights the challenge of managing uncertainties in ES-based policy-making and emphasizes the necessity for resilient and comprehensive planning approaches.

Whole-ocean network design and implementation pathway for Arctic marine conservation

Forestalling the decline of global biodiversity requires urgent and transformative action at all levels of government and society, particularly in the Arctic Ocean and adjacent seas where rapid changes are already underway. Amid growing scientific support and mounting pressure, the majority of nations have committed to the most ambitious conservation targets yet. However, without an approach that inclusively and equitably reconciles conservation and sustainable ocean use, these targets will likely go unmet. Here, we present ArcNet: a network design framework to help achieve ocean-scale, area-based marine conservation in the Arctic. The framework is centred around a suite of web-based tools and a ~ 5.9 million km2 network of 83 priority areas for conservation designed through expert-driven systematic conservation planning using conservation targets for over 800 features representing Arctic biodiversity. The ArcNet framework is intended to help adapt to new and emerging information, foster collaboration, and identify tailored conservation measures within a global context at different levels of planning and implementation.

Combining population genomics and biophysical modelling to assess connectivity patterns in an Antarctic fish.

Connectivity is a fundamental process of population dynamics in marine ecosystems. In the last decade, with the emergence of new methods, combining different approaches to understand the patterns of connectivity among populations and their regulation has become increasingly feasible. The Western Antarctic Peninsula (WAP) is characterized by complex oceanographic dynamics, where local conditions could act as barriers to population connectivity. Here, the notothenioid fish Harpagifer antarcticus, a demersal species with a complex life cycle (adults with poor swim capabilities and pelagic larvae), was used to assess connectivity along the WAP by combining biophysical modelling and population genomics methods. Both approaches showed congruent patterns. Areas of larvae retention and low potential connectivity, observed in the biophysical model output, coincide with four genetic groups within the WAP: (1) South Shetland Islands, (2) Bransfield Strait, (3) the central and (4) the southern area of WAP (Marguerite Bay). These genetic groups exhibited limited gene flow between them, consistent with local oceanographic conditions, which would represent barriers to larval dispersal. The joint effect of geographic distance and larval dispersal by ocean currents had a greater influence on the observed population structure than each variable evaluated separately. The combined effect of geographic distance and a complex oceanographic dynamic would be generating limited levels of population connectivity in the fish H. antarcticus along the WAP. Based on this, population connectivity estimations and priority areas for conservation were discussed, considering the marine protected area proposed for this threatened region of the Southern Ocean.

Effects of future climate change on rare and endangered species in inner Mongolia, China: Vulnerability, priority conservation areas and sustainable conservation strategies

Effects of future climate change on rare and endangered species in inner Mongolia, China: Vulnerability, priority conservation areas and sustainable conservation strategies

Consequence of habitat specificity: a rising risk of habitat loss for endemic and sub-endemic woody species under climate change in the Hyrcanian ecoregion

Endemic species are more impacted by climate change than other taxa. However, assessing the vulnerability of endemics to these changes in some regions, such as the Hyrcanian forest, is limited, despite its importance for biodiversity and ecosystem function. To address the question of expected habitat shifts under climate change across the Hyrcanian ecoregion, we built an ensemble of species distribution models (SDM) under two emission scenarios (RCP 4.5 and RCP 8.5) for 15 endemic woody taxa. To identify the potential priority conservation areas, we also applied a spatial prioritization approach. Overall, our results suggest that the impacts of climate change are more severe on the eastern parts of the region (Golestan) and the Talysh Mountains (north-western Hyrcanian ecoregion) with over 85% and 34% loss of suitable habitats over the next 80 years. The central part of the Alborz Mountains (Mazandaran) and some areas in the Talysh Mountains could be potential climatic refugia under the future conditions for endemic taxa. The most prominent changes are expected for Ruscus hyrcanus, Gleditsia capsica, Acer velutinum, Frangula grandifolia, and Buxus hyrcana. The worrying predicted loss of suitable habitats for most studied taxa would dramatically affect the stability and resilience of forests, threatening thus biodiversity of the Hyrcanian ecoregion. We present the first estimation of the potential risks involved and provide useful support for regional climate-adaptation strategy, indicating potential conservation priority areas for maintaining and preserving its resources. Notably, only 13.4% of areas designated for conservation and management under climate change will be located within the current Hyrcanian protected areas, yet the majority of these areas are classified as low priority.

Before it’s too late: priority areas for conservation of cryptic and threatened species of troglobitic arthropods in the Brazilian semiarid

Before it’s too late: priority areas for conservation of cryptic and threatened species of troglobitic arthropods in the Brazilian semiarid

Combining environmental DNA and visual surveys can inform conservation planning for coral reefs

Environmental DNA (eDNA) metabarcoding has the potential to revolutionize conservation planning by providing spatially and taxonomically comprehensive data on biodiversity and ecosystem conditions, but its utility to inform the design of protected areas remains untested. Here, we quantify whether and how identifying conservation priority areas within coral reef ecosystems differs when biodiversity information is collected via eDNA analyses or traditional visual census records. We focus on 147 coral reefs in Indonesia's hyper-diverse Wallacea region and show large discrepancies in the allocation and spatial design of conservation priority areas when coral reef species were surveyed with underwater visual techniques (fishes, corals, and algae) or eDNA metabarcoding (eukaryotes and metazoans). Specifically, incidental protection occurred for 55% of eDNA species when targets were set for species detected by visual surveys and 71% vice versa. This finding is supported by generally low overlap in detection between visual census and eDNA methods at species level, with more overlap at higher taxonomic ranks. Incomplete taxonomic reference databases for the highly diverse Wallacea reefs, and the complementary detection of species by the two methods, underscore the current need to combine different biodiversity data sources to maximize species representation in conservation planning.

Analysis of Comprehensive Land Consolidation in Cultivated Land Reserve Resource Areas Based on Two-Level Geographical Unit Division

The scientific and reasonable division of geographical units of cultivated land reserve resource areas is an important foundation for comprehensive land consolidation (CLC). Saline–alkali land is an important cultivated land reserve resource, and is significant for ensuring food security. This paper constructs a two-level land consolidation index system for cultivated land reserve resource areas. The Kruskal graph theory clustering algorithm was used to divide the study area into four types of ecological zones. On the basis of ecological zones, the study area was further divided into three types of consolidation units. Finally, the spatial relationship between ecological zoning and land use types was clarified, and the classification distribution of land consolidation potential was determined through an analysis of the CLC of two-level geographical units. Da’an City, Jilin province, China, was selected as the study area. The results of this study show the following: (1) In Da’an City, the conservation priority areas are concentrated in the north, the development priority areas are concentrated in the central and southern areas, and the comprehensive upgrade areas and adjustment rebuilding areas are in the transition zones. (2) The CLC potential trend is low in the north but high in the south in Da’an City. This paper proposes a framework for a geographical unit delineation method for saline–alkali-enriched cultivated land reserve resource zones, and analyzes the spatial layout of ecological protection demands and land consolidation potential in Da’an City. The results and conclusions of this study will provide a reference for CLC in cultivated land reserve resource areas.

Spatial identification and priority conservation areas determination of wilderness in China

In the context of an increasingly severe ecological crisis and accelerating ecological civilization construction, the specific regional differences as well as the natural environment of China restrict the uniform population distribution and the social economy's spatial layout, forming a large and widely distributed wilderness. The post-2020 Global Biodiversity Framework (GBF) takes the protection of wilderness areas as one of the key conservation goals and brings new opportunities for wilderness protection. Objective and accurate identification of the spatial range of wilderness and the determination of the focus of wilderness protection are significant for carrying out resource and environmental carrying capacity evaluations, biodiversity conservation, and national park system construction. At present, fewer studies pay attention to wilderness area identification and protection in China. In this study, we used the MaxEnt and Marxan models to establish a framework to identify the spatial distribution and conservation priorities of China's wilderness as well as guide wilderness conservation. The wilderness areas in China show a large-scale, concentrated distribution in space and a small, scattered distribution. From 2000 to 2020, the wilderness area decreased from 3.6323 million km2 in 2000 to 2.9142 million km2 in 2020, and the wilderness area reduction rate from 2000 to 2010 was greater than that in 2010–2020. From 2000 to 2020, the center of gravity of the wilderness area shifted 893.5 km to the southwest. Wilderness center of gravity relocated from Pingluo County, Ningxia Hui Autonomous Region to Delingha City, Qinghai Province. Considering conservation objectives and conservation costs, we determined that the wilderness area in urgent need of protection is 55,100 km2, accounting for 1.8 % of the total wilderness area. It is mainly distributed in Xinjiang Uygur Autonomous Region (13,000 km2), Yunnan Province (12,000 km2), and Sichuan Province (5300 km2). This methodological framework can provide an important reference for governments in dealing with global climate change, maintaining biodiversity and ecosystem diversity, and promoting sustainable human development.

Testing for concordance between predicted species richness, past prioritization, and marine protected area designations in the western Indian Ocean.

Scientific advances in environmental data coverage and machine learning algorithms have improved the ability to make large-scale predictions where data are missing. These advances allowed us to develop a spatially resolved proxy for predicting numbers of tropical nearshore marine taxa. A diverse marine environmental spatial database was used to model numbers of taxa from ∼1000 field sites, and the predictions were applied to all 7039 6.25-km2 reef cells in 9 ecoregions and 11 nations of the western Indian Ocean. Our proxy for total numbers of taxa was based on the positive correlation (r2=0.24) of numbers of taxa of hard corals and 5 highly diverse reef fish families. Environmental relationships indicated that the number of fish species was largely influenced by biomass, nearness to people, governance, connectivity, and productivity and that coral taxa were influenced mostly by physicochemical environmental variability. At spatial delineations of province, ecoregion, nation, and strength of spatial clustering, we compared areas of conservation priority based on our total species proxy with those identified in 3 previous priority-setting reports and with the protected area database. Our method identified 119 locations that fit 3 numbers of taxa (hard coral, fish, and their combination) and 4 spatial delineations (nation, ecoregion, province, and reef clustering) criteria. Previous publications on priority setting identified 91 priority locations of which 6 were identified by all reports. We identified 12 locations that fit our 12 criteria and corresponded with 3 previously identified locations, 65 that aligned with at least 1 past report, and 28 that were new locations. Only 34% of the 208 marine protected areas in this province overlapped with identified locations with high numbers of predicted taxa. Differences occurred because past priorities were frequently based on unquantified perceptions of remoteness and preselected priority taxa. Our environment-species proxy and modeling approach can be considered among other important criteria for making conservation decisions.

Preserving the spots: Jaguar (Panthera onca) distribution and priority conservation areas in Colombia.

The jaguar (Panthera onca) is a charismatic species considered Vulnerable in Colombia but yet largely unknown in the country. The species is mostly threatened by the continuous decline in its habitats, mostly derived from deforestation and habitat loss, additional to hunting and conflicts with humans. Thus, the future of jaguars in Colombia depends on protecting and recovering existing habitats. The aims of this study were to 1) evaluate jaguar distribution and identify the remnant patches of habitat in Colombia, 2) define an ecological connectivity network within the country, and 3) propose a priority areas portfolio for the conservation and recovery of jaguars. We used a presence background model for estimating species potential distribution and subsequently identified remaining habitat patches across the country based on land cover and species-specific ecological attributes. We then created an ecological connectivity network based on circuit theory and following a multi-criteria approach identified jaguar priority areas for conservation (JPCA) and recovery (JPRA). Jaguar potential distribution comprises 1103122.43 km2, from which 56.71% maintain suitable patches of potential habitat. We identified 960 corridors between remnant patches of natural or semi-natural vegetation. Based on the criteria, JPCAs with greater importance were identified in each of the five Colombian regions. JPRAs were located mainly towards the Andean and Caribbean regions. These JPCAs and JPRAs could serve as a guide for designing and implementing management strategies for the long-term conservation and recovery of the species in Colombia.

Mapping the habitat refugia of Isidella elongata under climate change and trawling impacts to preserve Vulnerable Marine Ecosystems in the Mediterranean

The bamboo-coral Isidella elongata is a key habitat-forming species in the deep Mediterranean Sea. This alcyonacean is listed as an indicator of Vulnerable Marine Ecosystems (VMEs) and as Critically Endangered due to bottom trawling impacts. In this work, a modeling approach was used to predict and map the habitat suitability of I. elongata in the Mediterranean Sea under current environmental conditions. Occurrence data were modeled as a function of environmental parameters. Using climate change scenarios and fishing effort data, the risk of climate change and fisheries impacts on habitat suitability were estimated, and climate refugia were identified. A drastic loss of habitat is predicted, and climate change scenarios suggest a loss of 60% of suitable habitats by 2100. In the central Mediterranean, climate refugia overlapped with active fishing grounds. This study represents the first attempt to identify hot spots for the protection of soft bottom Vulnerable Marine Ecosystems for the entire Mediterranean Sea, and highlights areas most at risk from trawling. This work is relevant to the objectives of the EU Marine Strategy Framework and Maritime Spatial Planning Directives, the Biodiversity Strategy for 2030 regarding priority areas for conservation.

Potential habitat areas and priority protected areas of Tilia amurensis Rupr in China under the context of climate change.

Tilia amurensis Rupr (T. amurensis) is one endangered and national class II key protected wild plant in China. It has ornamental, material, economic, edible and medicinal values. At present, the resources of T. amurensis are decreasing, and the prediction of the distribution of its potential habitat in China can provide a theoretical basis for the cultivation and rational management of this species. In this study, the R language was used to evaluate 358 distribution records and 38 environment variables. The MaxEnt model was used to predict the potential distribution areas of T. amurensis under the current and future climate scenarios. The dominant environmental factors affecting the distribution of T. amurensis were analyzed and the Marxan model was used to plan the priority protected areas of this species. The results showed that Bio18, Slope, Elev, Bio1, Bio9 and Bio2 were the dominant environmental factors affecting the distribution of T. amurensis. Under the future climatic scenarios, the potential suitable areas for T. amurensis will mainly distribute in the Northeast China, the total suitable area will reduce compared with the current climate scenarios, and the general trend of the centroid of suitable habitat will be towards higher latitudes. The SPF value of the best plan obtained from the priority conservation area planning was 1.1, the BLM value was 127,616, and the priority conservation area was about 57.61×104 km2. The results suggested that climate, soil and topographic factors jointly affected the potential geographical distribution of T. amurensis, and climate and topographic factors had greater influence than soil factors. The total suitable area of T. amurensis in China under different climate scenarios in the future will decrease, so more effective protection should be actively adopted.

Multi-objectives optimization can contribute to conservation and restoration priority setting in dryland region

The ecological conservation and restoration of drylands is a global challenge, which is always under resources constraints and in competition with land developments. Here, we aim to identify ecological conservation and restoration priority areas based on the objectives of maximizing ecological values and minimizing opportunity costs with zonation as a heuristic spatial optimization tool. We take the Inner Mongolia (IM) of China as a typical dryland region. Results reveal that the efficiency of multi-objectives for ecological restoration is often better than a single objective. IM should focus on ecological conservation supplemented by restoration. Conserving 36.9% and restoring 13.1% of IM can provide an average of 72% of ecosystem functions while consuming 20% of opportunity costs. Our framework aligns with the need for nature-based solutions and rationalizes the allocation of resources for ecological conservation and restoration projects in complex dryland regions.

Conserving diversity, distinctiveness and connectivity in the Sunshine Coast heathlands, Queensland, Australia

AbstractAustralia is committed to global area‐based conservation targets whilst ensuring its National Reserve system is representative of ecosystem types. However, concern remains for the increasing habitat loss and fragmentation, and the possible impacts of loss of connectivity between remnant vegetation. This study uses a range of diversity metrics to examine the biodiversity conservation status of the Sunshine Coast heathlands, in the South Eastern Queensland bioregion. The pre‐clearing and remnant extent, and the protection status of the nine heath Regional Ecosystems were calculated. Fragmentation and connectivity were examined by comparing heath patch sizes, and by calculating the distance between patches, from pre‐clearing estimates, until 2019. Diversity metrics for the Regional Ecosystems, including phylogenetic metrics, were tested for correlation with habitat extent, patch size, patch number and distance between patches. Of the pre‐clearing extent, 62% of Sunshine Coast heathlands remain and 46% is protected in National Parks. Levels of protection in National Parks vary across the Local Government Areas, and between Regional Ecosystems, and the priority Regional Ecosystems for further protection were identified. There has been habitat loss resulting in reduced patch sizes, and fragmentation due to urbanization, but the number of patches of heath remains intact, and connectivity in terms of distance between patches remains stable. Phylogenetic dispersion, but not diversity, was correlated with the extent of heath and the number of patches. This highlights the opportunity to maintain biodiversity in these heathlands, with the value of small patches of heath identified as key to maintaining connectivity in the coastal lowlands, distinctiveness in the montane heaths and dunes, and overall phylogenetic dispersion. This study has shown how a variety of diversity metrics and landscape analyses can inform on priority areas for biodiversity conservation in the heathlands of an increasingly urbanized region.

Prediction of potential suitable habitats in the 21st century and GAP analysis of priority conservation areas of Chionanthus retusus based on the MaxEnt and Marxan models.

Chionanthus retusus (C. retusus) has a high economic and medicinal value, but in recent years it has been included in the list of China's major protected plants and China's Red List of Biodiversity due to the serious destruction of its wild germplasm resources. Based on 131 sample points of C. retusus, this study simulated potential habitats and spatial changes of C. retusus in the 21st century using the Maxent model combined with the geographic information system ArcGIS, predicted prioritized protected areas by the Marxan model, and assessed current conservation status through GAP analysis. The results showed that (1) when the regularization multiplier was 1.5 and the feature combinations were linear, quadratic, and fragmented, the area under the curve of the subjects in the training and test sets were both above 0.9, the true skill statistic value was 0.80, and the maximum Kappa value was 0.62, meaning that the model had high accuracy; (2) Temperature seasonality, annual precipitation, min temperature for coldest month, and precipitation of wettest month had relatively strong influences on species' ranges. (3) The moderately and optimally suitable habitats of C. retusus were primly located in the areas of southwestern Shanxi, central Hebei, western Henan, Shandong, Shaanxi, Anhui and Hubei; (4) Under different future climate scenarios, the area of each class of suitable habitat will increase for varied amounts compared to the current period, with a general trend of expansion to the south; (5) The C. retusus priority protected areas were mainly located in most of Shandong, southern Liaoning, southwestern Shanxi, western Henan, and central Hebei, and its conservation vacancy area was relatively large compared to its protected area. These results will provide scientific strategies for implementing long-term conservation of C. retusus in China and similar regions under warming conditions in the 21st century.

The relationship between niche breadth and phylogenetic characteristics of eight species of rhubarb on the Qinghai-Tibet Plateau, Asia.

The relationship between spatial distribution and phylogeny has been widely debated in recent decades. To understand biogeographic and evolutionary history relationships and to explore the interspecific similarities and phylogenetic correlations of niche characteristics, we collected and recorded all distribution points for eight species of rhubarb on the Qinghai-Tibet Plateau, used different methods to describe the ecological niche, and explored the relationship between phylogeny, ecological niche, and distribution range. The results reveal that: (1) the ranges of optimal environmental variables for species with close kinship are not exactly the same, ecologically similar species are not necessarily sister species, and the overlap of rhubarb has no significant correlation with phylogeny. Therefore, the impact of ecological dimensions on species formation is greater than that of geographical latitude for the eight species of rhubarb. (2) Among the eight species of rhubarb, the breadth of ecological niche is positively correlated with the current suitable habitat area and negatively correlated with fluctuations in future suitable habitat area. In the future, except for Rheum tanguticum and Rheum palmatum, the suitable planting areas for the other six species of rhubarb will decrease as greenhouse gas emissions concentrations and time increase. Therefore, species with smaller ecological niches are at a greater risk of habitat loss compared to species with larger ecological niches. (3) In both existing and future distribution prediction models of rhubarb, we observed that both the widely distributed Rheum spiciforme and the niche narrow Rheum nobile, all eight species of rhubarb are present in the Hengduan Mountains, based on our analysis, we propose that the Hengduan Mountains should be regarded as a priority conservation area for rhubarb, to preserve the species' biodiversity. Our study lays the groundwork for identifying evolutionary trends in ecological specialization.

Proxies to detect hotspots of invertebrate biodiversity on rhodolith beds across the Southwestern Atlantic

Rhodolith beds are known worldwide to host high biodiversity to several taxa. Despite their importance, few ecological data explored the influence of rhodolith features and environmental variables on associated biodiversity, a gap that has been hampering the mapping of diversity hotspots and priority areas for conservation. In this study, we investigated large-scale spatial variations of rhodolith beds and their associated fauna, using annelid polychaetes as a biological model. We aimed to identify proxies, based on rhodolith features and environmental variables, to detect biodiversity hotspots across Southwestern Atlantic beds, laying the groundwork for mapping priority areas for conservation. With this goal, we sampled a total of 136 rhodolith nodules across seven sites with beds under distinct latitudes, depths, distances from the mainland coast of Brazil, and rhodolith densities. For each nodule sampled, we measured the volume, diameter, and mass of sediment trapped, as well as the attributes of the associated polychaetes (abundance, richness, diversity, and composition). Our results revealed a complex network of collinearities and synergisms between the rhodolith features and the majority of the polychaetes attributes (i.e., abundance, diversity, and composition). Polychaete richness, in contrast, can be explained by the combination of two proxies: (1) rhodolith nodule diameter and (2) distance of the rhodolith bed from the mainland coast. Nearshore rhodolith beds and larger nodules were associated with higher values of richness. Additionally, rhodoliths with a hollow morphology were also associated with higher values of polychaete richness. These results suggest that nearshore rhodolith beds with large and hollow nodules could be priority areas for conservation. However, further multi-taxa studies using our framework are still needed to explore other regions and scales, delineating more comprehensive proxies for predicting ecological patterns of the rhodoliths associated fauna and to identify priorities for conservation across Southwestern Atlantic beds.

A diverse portfolio of marine protected areas can better advance global conservation and equity

Marine protected areas (MPAs) are widely used for ocean conservation, yet the relative impacts of various types of MPAs are poorly understood. We estimated impacts on fish biomass from no-take and multiple-use (fished) MPAs, employing a rigorous matched counterfactual design with a global dataset of >14,000 surveys in and around 216 MPAs. Both no-take and multiple-use MPAs generated positive conservation outcomes relative to no protection (58.2% and 12.6% fish biomass increases, respectively), with smaller estimated differences between the two MPA types when controlling for additional confounding factors (8.3% increase). Relative performance depended on context and management: no-take MPAs performed better in areas of high human pressure but similar to multiple-use in remote locations. Multiple-use MPA performance was low in high-pressure areas but improved significantly with better management, producing similar outcomes to no-take MPAs when adequately staffed and appropriate use regulations were applied. For priority conservation areas where no-take restrictions are not possible or ethical, our findings show that a portfolio of well-designed and well-managed multiple-use MPAs represents a viable and potentially equitable pathway to advance local and global conservation.

Constructing ecological security patterns with differentiated management intensity based on multifunctional landscape identification and multi-criteria decision-making

The trade-off of ecosystem services should be considered in ecological security pattern (ESP) construction, which can be reflected in landscape multifunctionality and comprehensive importance. Multi-intensity ESPs management is also required to achieve effective ecological planning. In this study, we proposed an approach of multi-intensity ESPs construction that integrated multifunctional landscape identification and multi-criteria decision-making into ecological source identification, and categorized ecological sources based on the “trend-status-risk” framework, with a case study in the city belt along the Yellow River in Ningxia. The results showed that the optimal weights of the four ecosystem services of habitat maintenance, water conservation, carbon sequestration and soil retention based on multi-criteria decision making were 0.5000, 0.2071, 0.1589 and 0.1340, respectively. The trade-off degree of the ecosystem services was 0.6612, and the overall conservation efficiency was 1.5212. Conservation priority areas based on multifunctional landscape identification and multi-criteria decision-making had an overlapping area of 2189.38 km2, accounting for 84.86% of that identified through landscape multifunctionality. The comprehensive ESP of the study area included 45 ecological sources covering a total area of 6067.14 km2 and 91 ecological corridors with a total area of 3331.62 km2. Multi-intensity ESPs aiming at conservation, prevention, restoration and reconstruction were established with corresponding management suggestions. The approach to constructing multi-intensity ESPs proposed in this study has application potential in ecological planning of ecologically vulnerable regions, facilitating differentiated ESP management.