Identification Of Priority Areas For Conservation Research Articles

Conservation biogeography and diversity of tarantulas in Argentina

Abstract The loss of biodiversity due to the effects of a number of human activities is a cause for great concern. Protected areas are currently one of the main conservation tools worldwide and their correct selection and design play a key role. Since 2000, there have been protocols for systematic conservation planning, which emphasize the identification of priority conservation areas (PCAs) to ensure the persistence of species habitats and the environmental processes associated with them. Spiders of the family Theraphosidae (tarantulas) have biological characteristics that make them vulnerable to fragmentation in time and space and also are underrepresented in current conservation efforts. The geographical distribution of endemic species, such as tarantulas, represents a historical and ecological footprint of all biological entities; therefore, such endemic areas are recognized as priority areas for biodiversity conservation plans. The present work aims to develop an integrative biogeographical approach to conservation through the evaluation of multispecies distribution patterns, and the study of species richness and areas of endemism of tarantulas in Argentina with the ultimate goal of assessing their relationship to existing protected areas and proposing PCAs.

Assessing the Impacts of Climate Change on the At-Risk Species Anaxyrus microscaphus (The Arizona Toad): A Local and Range-Wide Habitat Suitability Analysis

Anaxyrus microscaphus (The Arizona Toad) is an at-risk species that is endemic to the southwestern United States. Despite conservation concerns, little is known about the ecological drivers of its distribution and habitat use. We investigated the potential distribution of A. microscaphus at the range-wide scale and local scales (i.e., Zion National Park), using MaxEnt to model habitat suitability under current and future climate scenarios. Our models incorporated 12 environmental variables, including climatic, geomorphological, and remotely sensed data. The results showed good model accuracy, with temperature and elevation being the top contributing variables. Currently, 42.6% of the park’s area provides a suitable habitat for A. microscaphus, but projections for 2050 and 2070 indicate a significant reduction in suitable habitat across its range. Temperature was the most influential variable, with habitat suitability decreasing as the annual mean temperatures exceeded 10 °C. Precipitation, vegetation, and topography variables also significantly contributed to the models. The most suitable habitat within Zion National Park occurred along sloped rivers and streams and in valleys with sandy soils, emphasizing the importance of riparian habitat conservation for A. microscaphus survival and persistence. As climate change progresses, the species’ habitat is expected to become increasingly constrained across local and range-wide scales. Our models demonstrated a shift in the suitable habitat towards major river systems, indicating a potential reliance on larger permanent river systems as smaller, more ephemeral habitats decrease in size and abundance. Future management strategies should prioritize conserving and enhancing the resilience of these habitats. MaxEnt models can guide population survey efforts and facilitate the identification of priority conservation areas, saving time and resources for species of concern such as A. microscaphus. Further research, including field surveys and large-scale analyses, is necessary to further refine our understanding of this species’ distribution and how it may be impacted by climate and habitat change.

Species distribution models to predict the potential niche shift and priority conservation areas for mangroves (Rhizophora apiculata, R. mucronata) in response to climate and sea level fluctuations along coastal India

Mangroves are more than just a tree as they are home to thousands of species, carbon absorbers and a natural coastal fortress against floods and storm surges. Hence, conservation planning and decision making for this valuable ecosystem must involve identification of priority conservation areas (PCAs) at species-specific dimensions. In the present study, we adopted an ensemble modelling approach for the distribution of two mangrove species (Rhizophora apiculata, Rhizophora mucronata) using high-resolution environmental and edaphic datasets, to identify the PCAs for future conservation. We also identified the key environmental variables shaping their distribution and precisely estimated the core distributional shift along the Indian coastline under changing climate scenario. The findings revealed that about 5844 km2 and 7846 km2 areas were identified as extremely suitable areas, which were distributed along Maharashtra coast and Kerala coast for R. mucronata and R. apiculata, respectively, in the current climate scenario. The distribution of R. apiculata was found to be mostly shaped by mean diurnal range and annual mean temperature, whereas the distribution of R. mucronata was primarily shaped by annual mean temperature and altitude. The highest range expansion of mangrove species occurred during middle Holocene due to high precipitation and sea-level rise and this finding is further supported by fossil pollen evidence. The suitable habitat range for R. apiculata is predicted to increase along Kerala coast under RCP2.6 scenario by 6.90% and 6.93% and under RCP8.5 scenario by 9.33% and 9.90% in the year 2050 and 2070, respectively, whereas the range for R. mucronata is getting reduced in the future climate scenario. Overall, our predictions reveal a steady migration of conducive mangrove habitat towards land or higher elevations due to relative sea level rise in future. These results would aid in planning a long-term species-specific conservation and management strategy for mangrove ecosystem along coastal India.

Stability analysis of reef fish communities based on symbiotic graph model

The community stability of coral reefs and fish is the focus of ecological monitoring of coral reefs. Among them, the realization of effective metrics of variations in reef fish communities (i.e., the combined communities of coral reefs and fish) is important for analyzing the stability of communities as well as maintaining the ecological balance of coral reefs. Based on coral reef and fish data collected at St. John's Island from 2004 to 2010, this study proposes a symbiotic graph modeling method to express the biological relationships of reef fish communities, and a Pyramid Match graph kernel method for fusing Attributes (PMA) to quantify community fluctuations to measure interannual variability of communities. The results showed that the community similarity was low in 2006, 2007, and 2008. The total coral cover rate in the study area decreased by 32.04% from 2006 to 2007 and increased by 24% in 2008. The total number of fish fell from 3780 in 2006 to 2596 in 2007 and rose to 6249 in 2008. Among them, the proportion of herbivorous fish decreased to 30.84% in 2007. Furthermore, we have combined the Louvain algorithm with the proposed PMA method to effectively identify the regions that should be prioritized for protection. Experiments were conducted on real datasets with good results, demonstrating the potential of the proposed method to assist in the analysis of community stability and identification of priority conservation areas.

Potential biodiversity map of bird species (Passeriformes): Analyses of ecological niche, environmental characterization and identification of priority conservation areas in southern Patagonia

Different methodologies try to identify priority conservation areas (PCA) to improve habitat conservation and decrease human pressures over bird species at coarse-scale. Map of potential biodiversity (PB) can identify PCA (high PB values) at different scale levels by considering ecological requirements and distributions through potential habitat suitability (PHS) models. The aim was to elaborate a map of PB of bird species based on PHS models to spatially identify PCA in Santa Cruz, Argentina. Moreover, we want to analysis species’ ecology requirements, and evaluate PB values and spatially identify PCA through two scale levels. We computed 47 models using Environmental Niche Factor Analysis (ENFA) on Biomapper software. Each model was visualized and combined to get a unique map of PB. We analyzed ecological requirements by specialization and marginality and PHS maps. Moreover, considering natural environments (regional level) and forest types’ cover (forest landscape level), we evaluated PB values using ANOVAs and identified PCA under different human pressures, using human footprint (HPF) map. Bird species related to Nothofagus forests were most specialist and exhibited a narrower potential distribution than grassland species. At regional level, Magellanic grass steppes displayed the highest PB values, where most of the PCA had high HPF values. At forest landscape level, ecotone N. antarctica forests had the highest PB values, where PCA with low HFP values were outside current protected networking. We conclude that combining PHS models and the map of PB allowed us to improve bird distribution studies and to assist biodiversity conservation strategies under human pressures.

Identification of priority conservation areas based on ecosystem services and systematic conservation planning analysis.

In order to reverse the trend of ecological deterioration and resolve the conflict between ecological conservation and economic development, it is necessary to evaluate the trends of ecosystem services (ESs) and unravel the relationship between ESs and environmental drivers and identify the priority areas for ESs. In this research, we used the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to quantify the variation of four important ESs (water purification, water yield, soil conservation, and habitat quality) in the Dongting Lake Basin from 2000 to 2015. During the past 15years, water yield was declined by 3.38% and soil conservation was increased by 1.45%. Water quality purification was deteriorated with the rise in phosphorus export (5.32%) and nitrogen export (4.09%). Meanwhile, habitat quality was decreased by 3.27%. Trade-offs occurred primarily among water yield and other ESs. Social-ecological drivers importance analysis found that water yield was primarily influenced by precipitation and temperature. By contrast, water purification and habitat quality were more affected by the distribution of land use and land cover (LULC). Soil conservation was closely related to precipitation and geographical factor. Based on the distribution of ESs and the intensity of human activities, we delineated priority areas for each ESs using the systematic conservation planning tool (Marxan). LULC shifted most dramatically in water yield reserves (6.49%) with a large amount of lands conversed to cropland (4.4%) and build-up land (0.27%), which further increased the risk of water scarcity, while LULC changed less in other ESs priority areas due to human activities. Our study helps develop conservation strategies within specific area cost-effectively and provides scientific support for future conservation program of ESs formulation and adjustment.

Analysis of taxonomic distinctness and priority conservation areas as a basis for heritage enhancement of floristic diversity: the case of the ‘hotspot’ of the islands of Numidia (North-eastern Algeria)

The identification of priority conservation areas (PCA) plays an important role in biodiversity conservation, but uncertainties create challenges for conservation planning. The objective was to test a method based on 'taxonomic distinctness' (TD) and to identify PCA to quantify the heritage value of a territory and establish the most appropriate conservation measures. The researchers performed a systematic and phytogeographical analysis of ten islands in northeastern Algeria, a biological hotspot with heterogeneous ecosystem types and subject to socio-economic pressures. The biological diversity represented by 223 species in these environments reflects a high rate of endemicity (13%).

Characterizing the distribution of the critically endangered estuarine pipefish (Syngnathus watermeyeri) across its range using environmental DNA

AbstractThe effective management of rare and threatened species, especially in areas where population sizes have diminished, relies on knowledge of their population size, threats, and distribution. Robust mapping of distribution presents a particular challenge in aquatic environments for cryptic species, especially those with low abundance. Environmental DNA (eDNA) approaches can offer improved detection rates of many rare and threatened species when compared with traditional sampling approaches. In this study, we developed and optimized a targeted eDNA assay for the critically endangered estuarine pipefish (Syngnathus watermeyeri). eDNA sampling and seine netting were undertaken at 39 sites across the historical range of S. watermeyeri in the Eastern Cape of South Africa in 2019. At each site, five water samples were collected for eDNA analysis (n = 195) along with three seine netting hauls (n = 117). Habitat and environmental data were collected at each location to explore what physical and biotic parameters might correlate with pipefish presence/absence. We successfully detected S. watermeyeri in two estuaries (Kariega and Bushmans) using both survey methods. Importantly, the positive detection rate of eDNA (66.7%) was four times that of seine netting (16.7%), highlighting the value of eDNA as a monitoring tool for rare and cryptic species. Null detections in the Kasouga, East Kleinemonde, and West Kleinemonde estuaries add to the growing body of evidence that the estuarine pipefish has been extirpated from these locations and is now only found in two estuarine systems. The occurrence of S. watermeyeri was found to be highly dependent on the cover of submerged macrophytes such as Zostera capensis (eelgrass). By providing a more complete picture of the conservation status of this critically endangered species, this work facilitates the development of a long‐term monitoring program and the identification of priority conservation areas.

Identification of Priority Conservation Areas for Natural Heritage Sites Integrating Landscape Ecological Risks and Ecosystem Services: A Case Study in the Bogda, China.

The conservation of World Natural Heritage Sites has become a global concern. The identification of priority conservation areas can preserve the value of heritage sites while promoting sustainable development, which is important for balancing the conservation and development of heritage sites. This paper proposes an integrated framework for the identification of priority conservation areas for natural heritage sites based on landscape ecological risks (LERs) and ecosystem services (ESs), taking the Bogda heritage site in Xinjiang, China as a case study. The innovative approach combined the natural and cultural elements of natural heritage sites and included the following steps: (1) the LER index, Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model and questionnaire method were adopted to assess the LERs and ESs of Bogda heritage sites during 1990–2018; (2) ordered weighted averaging (OWA) was used to identify conservation priorities by weighing LERs and ESs; and (3) the optimal priority conservation area was determined by comparing the conservation efficiencies under different scenarios. The results revealed that the LER, carbon storage (CS), habitat quality (HQ), aesthetic value (AV), and recreational value (RV) showed significant spatiotemporal variation. The most suitable priority conservation area was located at the central forestlands and high-coverage grasslands, with conservation efficiencies of 1.16, 2.91, 1.96, 1.03, and 1.21 for LER, CS, HQ, AV, and RV, respectively. Our study demonstrated that integrating LERs and ESs is a comprehensive and effective approach to identifying conservation priorities for heritage sites. The results can provide decision support for the conservation of the Bogda heritage site and a methodological reference for identifying conservation priorities for natural heritage sites. Furthermore, this study is also an effective application of LERs and ESs in identifying priority conservation areas.

Identification of Priority Conservation Areas for Protected Rivers Based on Ecosystem Integrity and Authenticity: A Case Study of the Qingzhu River, Southwest China

The establishment of protected areas for a river (PARs) is an efficient approach for the conservation of its ecosystem and biodiversity. This study selected the free-flowing Qingzhu River, located in the mountains of southwest China and one of 34 global biodiversity hotspots, as a case study. This study applied the ecosystem approach to develop a model for identifying priority conservation areas for a river (PCARs) based on integrity and authenticity. Three model elements were selected, namely streams, forest and human activity, characterized by three indicators: irreplaceability, tree cover and human activity, respectively. The spatial distributions of these indicators were overlaid according to different weights to generate a map (SCPV) of comprehensive protected value (CPV), which was used to indicate ecosystem integrity and authenticity in the study catchment. Lastly, PCARs were identified by comparing existing protected areas with the calculated SCPV. The application of the model to the Qingzhu River indicated the area of PCARs to be ~71.88 km2, accounting for 15.13% of the total PAR area. Priority reaches for protection were then identified, with many falling within the mainstem of the river in the middle and lower reaches. The total length of priority protected reaches was ~75.97 km, accounting for 49.33% of the total length of the river mainstem within Qingchuan County. This study validated the model at both the theoretical and practical level, confirming that the model is useful for facilitating the precise protection and smart management of rivers.

Assessment of endemic northern swamp deer (Rucervus duvaucelii duvaucelii) distribution and identification of priority conservation areas through modeling and field surveys across north India

Recent declines in large herbivores have led to significant conservation efforts globally. However, the niche-specific megaherbivores residing outside protected areas face more imminent extinction threats. Swamp deer, the obligate grassland-dwelling endemic cervid is the most extinction-prone megaherbivore in the Indian subcontinent. Limited information on distribution and habitat status pose significant conservation and management challenges for the remaining fragmented populations in north, north-east and central India. To this end, we combined exhaustive field surveys and Maximum Entropy (MaxEnt) modeling to generate the most detailed distribution map for the northern swamp deer subspecies. We used primary data from more than 6000 km2 field surveys and eight ecologically relevant covariates for model predictions. Grassland cover, annual mean temperature and distance from water were the major factors that predicted the species distribution. Models predicted swamp deer distribution in only ~3% of the entire landscape, covering both protected (~1.4%) as well as non-protected (~1.6%) areas. Our validation surveys in some of these predicted areas confirmed swamp deer presence and indicated ~85% model accuracy. Finally, we identified four ‘‘Priority Conservation Areas’’ still retaining adequate grassland habitat and species presence that require immediate attention to ensure landscape-level population connectivity. These results highlight the importance of the marginalized grassland ecosystems of northern India that still retain high biodiversity. We suggest a swamp deer-centric conservation approach to protect these human-dominated habitats and emphasize in generating such information for other endemic, habitat-specialist species across the globe.

Checklist of family Poaceae in Lahaul and Spiti district (Cold Desert), Himachal Pradesh, India

The present study provides an overview of the diversity and distribution of grass species in Lahaul- Spiti district (cold desert) situated in the Trans-Himalayan region i.e. Himachal Pradesh, India. From the study area 141 taxa (138 species and 3 subspecies) belonging to 14 tribes were recorded. The largest tribe was Festuceae followed by Agrostideae having 48 and 20 species, respectively. Two species Poa koelzii and P. Lahaulensis are endemic to Lahaul- Spiti. Puccinellia kashmiriana is rare as per IUCN status. The present study on the grass floral wealth of Lahaul-Spiti provides an important baseline data on grasses for further quantitative and qualitative investigations like their nutritive values, crop improvement programmes and shall also help in the identification of priority conservation areas in the region.

Low overlaps between hotspots and complementary sets of vertebrate and plant species in China

Hotspots and complementary sets have been widely used to identify conservation priorities. It is pivotal to detect the congruence among priority areas for diverse taxa. However, congruence between hotspots and complementary sets of vertebrates and vascular plants in China is poorly understood. Here, we made a comprehensive assessment of the congruence between hotspots and complementary sets for 15,521 wild woody plant, fern, amphibian, reptile, bird and mammal species from 2376 counties in the terrestrial and inland water ecosystems of China. Our results showed the extensive incongruence among hotspots of vertebrates and plants, inconcordance among the complementary sets of the six taxa, and little coincidence between hotspots and complementary sets in China. Our findings suggest that diverse taxa should be considered for identification of priority conservation areas according to their different ecological requirements and life histories using different methods.

Consistency and use of information about threats in the participatory process for identification of priority conservation areas in the Brazilian Amazon

Despite the increasing number of scientific papers on the subject, conservation planning has failed to actively prioritise the creation of new protected areas. Strategies proposed to increase the creation of new protected areas based on conservation plans include broad stakeholder participation in decision-making processes in order to include their concerns and facilitate social acceptance of proposed actions. However, there are controversial views about the effectiveness of stakeholder participation. The quality of the decision depends both on the information used by stakeholders and on how it is used, so it is necessary to evaluate both these aspects of a decision-making process. Threats are intrinsically related to conservation decisions because they are more easily understood by people than biodiversity values, and they can affect both decisions and outcomes of conservation actions. This article analyses how information about threats was used in the decision-making process conducted by the Brazilian Government in 2006 to indicate priority areas for the conservation of the Amazon biome. We first verified the consistency of the information on threats attributed by stakeholders to these new priority areas, and then assessed whether the existence, levels and types of threats influenced the choice of areas for conservation. The results showed that there were some successes in recognising threats, but also many inconsistencies, especially in assigning levels of intensity for some types of threats such as fishing. The decision-making process also did not fully use available information to indicate areas for conservation. The lack of understanding on the motivation behind these inconsistencies could suggest the presence of political opportunism. A more quantitative approach to assigning priorities is needed: one that is less dependent on the individual input of stakeholders and more accurately reflects the actual emergency status of proposed areas. This indicates that greater effort should be allocated to combining a participatory approach with a robust decision support system.

The marine spatial classification and the identification of priority conservation areas (PCAs) for marine biodiversity conservation – A case study of the offshore China

In order to effectively use limited funds and resources for conservation of biodiversity, the most valuable areas and contents have to be identified. Therefore, it is essential to identify the priority conservation areas (PCAs) and to explore the maximum conservation benefits for biodiversity conservation. The Convention on Biological Diversity (CBD) recommends that countries should conduct ‘Ecologically or Biologically Significant Marine Areas (EBSAs) identification’, and adopt a scheme of using scientific criteria to identify the EBSAs, but in China Offshore Areas, this kind of work almost does not exist. This paper focuses on the method and application of PCAs identification in Offshore China. The first step is to carry out marine spatial classification according to biogeographical factors, and then to discuss the PCAs identification in regard to marine biodiversity in species, community and ecosystem levels, finally to take Offshore China as a case study. Through marine spatial classification, Offshore China is divided into 5 biological regions by climate and geography differences, and 12 ecological regions by typical, ecological and administrative factors, and 98 biogeographical units by biogeographical factors. As a result, among 98 geographical units, 43 units are identified as PCAs, 31 units are PCAs at focal level, 16 units are PCAs at community level, and 15 units are PCAs at ecosystem level.

Identification of priority conservation areas and potential corridors for jaguars in the Caatinga biome, Brazil.

The jaguar, Panthera onca, is a top predator with the extant population found within the Brazilian Caatinga biome now known to be on the brink of extinction. Designing new conservation units and potential corridors are therefore crucial for the long-term survival of the species within the Caatinga biome. Thus, our aims were: 1) to recognize suitable areas for jaguar occurrence, 2) to delineate areas for jaguar conservation (PJCUs), 3) to design corridors among priority areas, and 4) to prioritize PJCUs. A total of 62 points records of jaguar occurrence and 10 potential predictors were analyzed in a GIS environment. A predictive distributional map was obtained using Species Distribution Modeling (SDM) as performed by the Maximum Entropy (Maxent) algorithm. Areas equal to or higher than the median suitability value of 0.595 were selected as of high suitability for jaguar occurrence and named as Priority Jaguar Conservation Units (PJCU). Ten PJCUs with sizes varying from 23.6 km2 to 4,311.0 km2 were identified. Afterwards, we combined the response curve, as generated by SDM, and expert opinions to create a permeability matrix and to identify least cost corridors and buffer zones between each PJCU pair. Connectivity corridors and buffer zone for jaguar movement included an area of 8.884,26 km2 and the total corridor length is about 160.94 km. Prioritizing criteria indicated the PJCU representing c.a. 68.61% of the total PJCU area (PJCU # 1) as of high priority for conservation and connectivity with others PJCUs (PJCUs # 4, 5 and 7) desirable for the long term survival of the species. In conclusion, by using the jaguar as a focal species and combining SDM and expert opinion we were able to create a valid framework for practical conservation actions at the Caatinga biome. The same approach could be used for the conservation of other carnivores.

The Meeting of Waters, a possible shelter of evolutionary significant units for Amazonian fish

Identification of priority conservation areas is crucial for safeguarding freshwater ecosystems. Occurrence of unique populations and/or evolutionary significant units for key species is one of the most frequent reasons for protecting a region or location. In this study we have studied two of the most important fisheries resources of the Amazon basin, Curimata and Tambaqui, from different areas, in order to identify common zones of special diversity. Employing the Barcoding cytochrome oxidase I gene as a genetic tool, we have detected a clear differentiation of the populations inhabiting the Meeting of Waters and the rest of the basin for both species. This area corresponds to the confluence of the Solimoes and the Negro rivers, of different physicochemical water characteristics, at the Brazilian city of Manaus in central Amazonas. The Meeting of Waters area (near Manaus) could be recommended as a potential area subject of special management, given its apparent role as a shelter for evolutionary significant units.

Vascular plants, Kinnaur, Himachal Pradesh, India

In the present study, we provide a checklist of the vascular plants of Kinnaur district situated in the Himachal Pradesh state of India in the western Himalaya. This checklist includes 893 taxa (viz., species, subspecies and varieties) belonging to 881 species of angiosperms and gymnosperms distributed among 102 families and 433 genera, and 30 species of pteridophytes. Information about the growth habit, threat and endemicity status is also provided. Our results show that family Compositae is by far the most species rich family with 122 species, followed by Poaceae (69), Rosaceae (58), Leguminosae (49) and Lamiaceae (38). Among the genera, Artemisia is the most diverse genus with 19 species, followed by Potentilla (14), Saussurea (13), Polygonum (11), Astragalus (10), Lonicera (10) and Nepeta (10). Similar to other regions in the western Himalayan range, family-to-genera ratio was 1:4.25 and the genera-to-species ratio was 1:2.04. Out of 893 taxa, our checklist includes 606 herb species, 63 trees, 108 shrubs, 28 climbers, 67 graminoids and 21 sedges and rushes. Of all the species recorded, 108 (12.2%) are endemic to western Himalaya and 27 (3%) are placed under IUCN threatened categories. The present checklist on the flora of Kinnaur provides an important baseline data for further quantitative studies on the characteristics of plant communities in this region and will help in the identification of priority conservation areas.

A Global Analysis of Tortoise and Freshwater Turtle Distributions with Identification of Priority Conservation Areas

Abstract There are currently ca. 317 recognized species of turtles and tortoises in the world. Of those that have been assessed on the IUCN Red List, 63% are considered threatened, and 10% are critically endangered, with ca. 42% of all known turtle species threatened. Without directed strategic conservation planning, a significant portion of turtle diversity could be lost over the next century. Toward that conservation effort, we compiled museum and literature occurrence records for all of the world's tortoises and freshwater turtle species to determine their distributions and identify priority regions for conservation. We constructed projected range maps for each species by selecting geographic information system–defined hydrologic unit compartments (HUCs) with verified locality points, and then added HUCs that connected known point localities in the same watershed or physiographic region and that had similar habitats and elevations as the verified HUCs. We analyzed a total of 305 turtle species and assi...

Identifying regional landscapes for conservation planning: a case study from KwaZulu-Natal, South Africa

The application of landscape ecology in conservation biology has rarely occurred in the context of defined landscapes. Conservation planning has focussed on representation of species diversity patterns and assumed that ecosystems, landscapes and their associated processes will be equally protected. The long-term persistence of biodiversity in the face of land transformations and global change requires the representation and retention of all elements of biodiversity. This biodiversity includes landscapes, and the landscape structure and processes that maintain patterns of biodiversity. We developed a method of classifying landscapes for the KwaZulu-Natal province of South Africa. The process entailed the use of 1 km 2 grid data from climate and terrain databases. Principal components analysis coupled with a cluster classification method and spatial overlay techniques were used to identify two hierarchical levels of landscapes. Validation analysis showed that landscapes are identifiable with a classification accuracy of 86.8%. The derived landscapes can be combined separately with data on vegetation and soil to describe landscape ecosystems that potentially differ in species composition, successional dynamics, and potential productivity. The surrogate use of the landscapes in conjunction with other strategic data, for the identification of priority conservation areas, is demonstrated.