scholarly journals The explicit integration of Species Conceptual Models and Species Distribution Models as a best practice for systematic conservation planning in California

2021 ◽  
pp. 41-60
Author(s):  
Monica D. Parisi ◽  
Steven E. Greco
Keyword(s):  
Species Distribution ◽  
Conservation Planning ◽  
Species Distribution Models ◽  
Conceptual Models ◽  
Conservation Strategy ◽  
Systematic Conservation Planning ◽  
Community Conservation ◽  
Natural Community ◽  
Distribution Models ◽  
Conservation Plans

Natural Community Conservation Plans (NCCPs) represent the most powerful tool in statute for regional and systematic conservation planning for species at risk in California. This study examines the use of species conceptual models (SCMs) and species distribution models (SDMs) in such planning. Eighteen Natural Community Conservation Plans (NCCPs) were analyzed to determine if or how explicit connections were made between both types of models for a covered species and key components of its conservation strategy. Results indicate plans were strong in the use of SDMs, however, each deferred preparing or using SCMs to later management and monitoring phases. A more effective best planning practice for developing a conservation strategy is to explicitly integrate SCMs and SDMs during plan preparation.

scholarly journals Protected Area Networks Do Not Represent Unseen Diversity

2021 ◽  
Author(s):  
Angel Delso ◽  
Jesús Muñoz ◽  
Javier Fajardo
Keyword(s):  
Protected Areas ◽  
Species Distribution ◽  
Conservation Planning ◽  
Protected Area ◽  
Species Distribution Models ◽  
Systematic Conservation Planning ◽  
Knowledge Gaps ◽  
Distribution Models ◽  
Current Area ◽  
Planning Approaches

Abstract Most existing protected area networks are usually biased to protect charismatic species or showy landscapes. We hypothesized that conservation networks designed including unseen diversity –groups usually species-rich but consisting of inconspicuous taxa, or affected by knowledge gaps– would be more efficient than networks ignoring those groups. To test this hypothesis, we created species distribution models for 3,006 species of arthropods and determined which were represented in three networks of different size and biogeographic origin. We assessed the efficiency of each network using spatial prioritization to measure its completeness –increment needed to achieve conservation targets– and specificity –how much overlap the priority areas based on unseen diversity with existing networks. We find that representativeness of unseen diversity in existing protected areas –extrinsic representativeness– was low, as ~40% of unseen diversity species were unprotected. We also find that existing networks should be expanded by an additional ~26-46% of their current area to complete targets, and that specificity can be as low as 8.8%, meaning that existing networks are not efficient to conserve unseen diversity. We conclude that information on unseen diversity must be included in systematic conservation planning approaches to design more efficient and ecologically representative protected areas.

scholarly journals Using LiDAR-derived vegetation metrics for high-resolution, species distribution models for conservation planning

Ecosphere ◽  
2013 ◽  
Vol 4 (3) ◽  
pp. art42 ◽  
Author(s):  
S. L. Farrell ◽  
B. A. Collier ◽  
K. L. Skow ◽  
A. M. Long ◽  
A. J. Campomizzi ◽  
...  
Keyword(s):  
High Resolution ◽  
Species Distribution ◽  
Conservation Planning ◽  
Species Distribution Models ◽  
Distribution Models

Overprediction of species distribution models in conservation planning: A still neglected issue with strong effects

2020 ◽  
Vol 252 ◽  
pp. 108822 ◽  
Author(s):  
Santiago José Elías Velazco ◽  
Bruno R. Ribeiro ◽  
Livia Maira Orlandi Laureto ◽  
Paulo De Marco Júnior
Keyword(s):  
Species Distribution ◽  
Conservation Planning ◽  
Species Distribution Models ◽  
Distribution Models

scholarly journals Bridging mechanistic conceptual models and statistical species distribution models of riverine fish

2021 ◽  
Vol 457 ◽  
pp. 109680
Author(s):  
Bogdan Caradima ◽  
Andreas Scheidegger ◽  
Jakob Brodersen ◽  
Nele Schuwirth
Keyword(s):  
Species Distribution ◽  
Species Distribution Models ◽  
Conceptual Models ◽  
Distribution Models ◽  
Riverine Fish

Avoiding Pitfalls of Using Species Distribution Models in Conservation Planning

2003 ◽  
Vol 17 (6) ◽  
pp. 1591-1600 ◽  
Author(s):  
BETTE A. LOISELLE ◽  
CHRISTINE A. HOWELL ◽  
CATHERINE H. GRAHAM ◽  
JAQUELINE M. GOERCK ◽  
THOMAS BROOKS ◽  
...  
Keyword(s):  
Species Distribution ◽  
Conservation Planning ◽  
Species Distribution Models ◽  
Distribution Models

scholarly journals Improving the Use of Species Distribution Models in Conservation Planning and Management under Climate Change

PLoS ONE ◽  
2014 ◽  
Vol 9 (11) ◽  
pp. e113749 ◽  
Author(s):  
Luciana L. Porfirio ◽  
Rebecca M. B. Harris ◽  
Edward C. Lefroy ◽  
Sonia Hugh ◽  
Susan F. Gould ◽  
...  
Keyword(s):  
Climate Change ◽  
Species Distribution ◽  
Conservation Planning ◽  
Species Distribution Models ◽  
Distribution Models ◽  
Planning And Management

Species distribution models for conservation planning in fire‐prone landscapes

2021 ◽  
Vol 30 (4) ◽  
pp. 1119-1136
Author(s):  
Matthew Swan ◽  
Mark Le Pla ◽  
Julian Di Stefano ◽  
Jack Pascoe ◽  
Trent D. Penman
Keyword(s):  
Species Distribution ◽  
Conservation Planning ◽  
Species Distribution Models ◽  
Distribution Models ◽  
In Fire

scholarly journals REBIOMA Data Portal, Tool for Conservation Planning in Madagascar

2018 ◽  
Vol 2 ◽  
pp. e25864
Author(s):  
Rabetrano Tsiky
Keyword(s):  
Species Distribution ◽  
Conservation Planning ◽  
Species Distribution Models ◽  
Continuous Distribution ◽  
Environmental Data ◽  
Easy Access ◽  
Species Occurrence ◽  
Distribution Models ◽  
Occurrence Data ◽  
Data Portal

Recognizing the abundance and the accumulation of information and data on biodiversity that are still poorly exploited and even unfunded, the REBIOMA project (Madagascar Biodiversity Networking), in collaboration with partners, has developed an online dataportal in order to provide easy access to information and critical data, to support conservation planning and the expansion of scientific and professional activities in Madagascar biodiversity. The mission of the REBIOMA data portal is to serve quality-labeled, up-to-date species occurrence data and environmental niche models for Madagascar’s flora and fauna, both marine and terrestrial. REBIOMA is a project of the Wildlife Conservation Society Madagascar and the University of California, Berkeley. REBIOMA serves species occurrence data for marine and terrestrial regions of Madagascar. Following upload, data is automatically validated against a geographic mask and a taxonomic authority. Data providers can decide whether their data will be public, private, or shared only with selected collaborators. Data reviewers can add quality labels to individual records, allowing selection of data for modeling and conservation assessments according to quality. Portal users can query data in numerous ways. One of the key features of the REBIOMA web portal is its support for species distribution models, created from taxonomically valid and quality-reviewed occurrence data. Species distribution models are produced for species for which there are at least eight, reliably reviewed, non-duplicate (per grid cell) records. Maximum Entropy Modeling (MaxEnt for short) is used to produce continuous distribution models from these occurrence records and environmental data for different eras: past (1950), current (2000), and future (2080). The result is generally interpreted as a prediction of habitat suitability. Results for each model are available on the portal and ready for download as ASCII and HTML files. The REBIOMA Data Portal address is http://data.rebioma.net, or visit http://www.rebioma.netfor more general information about the entire REBIOMA project.

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