Combined use of systematic conservation planning, species distribution modelling, and connectivity analysis reveals severe conservation gaps in a megadiverse country (Peru)
Conservation planning is crucial for megadiverse countries where biodiversity is coupled with incomplete reserve systems and limited resources to invest in conservation. Using Peru as an example of a megadiverse country, we asked whether the national system of protected areas satisfies biodiversity conservation needs. Further, to complement the existing reserve system, we identified and prioritized potential conservation areas using a combination of species distribution modeling, conservation planning and connectivity analysis. Based on a set of 2,869 species, including mammals, birds, amphibians, reptiles, butterflies, and plants, we used species distribution models to represent species' geographic ranges to reduce the effect of biased sampling and partial knowledge about species' distributions. A site-selection algorithm then searched for efficient and complementary proposals, based on the above distributions, for a more representative system of protection. Finally, we incorporated connectivity among areas in an innovative post-hoc analysis to prioritize those areas maximizing connectivity within the system. Our results highlight severe conservation gaps in the Coastal and Andean regions, and we propose several areas, which are not currently covered by the existing network of protected areas. Our approach helps to find areas that contribute to creating a more representative, connected and efficient network.
| Errataetall: | |
|---|---|
| Medienart: |
E-Artikel |
| Erscheinungsjahr: |
2014 |
|---|---|
| Erschienen: |
2014 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
|---|---|
| Enthalten in: |
PloS one - 9(2014), 12 vom: 16., Seite e114367 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Fajardo, Javier [VerfasserIn] |
|---|
| Links: |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Completed 07.12.2015 Date Revised 13.11.2018 published: Electronic-eCollection ErratumIn: PLoS One. 2015;10(3):e0122159. - PMID 25747458 Citation Status MEDLINE |
|---|
| doi: |
10.1371/journal.pone.0114367 |
|---|
| funding: |
|
|---|---|
| Förderinstitution / Projekttitel: |
|
| PPN (Katalog-ID): |
NLM244325936 |
|---|
| LEADER | 01000naa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM244325936 | ||
| 003 | DE-627 | ||
| 005 | 20231224134447.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 231224s2014 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1371/journal.pone.0114367 |2 doi | |
| 028 | 5 | 2 | |a pubmed24n0814.xml |
| 035 | |a (DE-627)NLM244325936 | ||
| 035 | |a (NLM)25479411 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Fajardo, Javier |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Combined use of systematic conservation planning, species distribution modelling, and connectivity analysis reveals severe conservation gaps in a megadiverse country (Peru) |
| 264 | 1 | |c 2014 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ƒaComputermedien |b c |2 rdamedia | ||
| 338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Date Completed 07.12.2015 | ||
| 500 | |a Date Revised 13.11.2018 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a ErratumIn: PLoS One. 2015;10(3):e0122159. - PMID 25747458 | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Conservation planning is crucial for megadiverse countries where biodiversity is coupled with incomplete reserve systems and limited resources to invest in conservation. Using Peru as an example of a megadiverse country, we asked whether the national system of protected areas satisfies biodiversity conservation needs. Further, to complement the existing reserve system, we identified and prioritized potential conservation areas using a combination of species distribution modeling, conservation planning and connectivity analysis. Based on a set of 2,869 species, including mammals, birds, amphibians, reptiles, butterflies, and plants, we used species distribution models to represent species' geographic ranges to reduce the effect of biased sampling and partial knowledge about species' distributions. A site-selection algorithm then searched for efficient and complementary proposals, based on the above distributions, for a more representative system of protection. Finally, we incorporated connectivity among areas in an innovative post-hoc analysis to prioritize those areas maximizing connectivity within the system. Our results highlight severe conservation gaps in the Coastal and Andean regions, and we propose several areas, which are not currently covered by the existing network of protected areas. Our approach helps to find areas that contribute to creating a more representative, connected and efficient network | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Lessmann, Janeth |e verfasserin |4 aut | |
| 700 | 1 | |a Bonaccorso, Elisa |e verfasserin |4 aut | |
| 700 | 1 | |a Devenish, Christian |e verfasserin |4 aut | |
| 700 | 1 | |a Muñoz, Jesús |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t PloS one |d 2006 |g 9(2014), 12 vom: 16., Seite e114367 |w (DE-627)NLM167327399 |x 1932-6203 |7 nnns |
| 773 | 1 | 8 | |g volume:9 |g year:2014 |g number:12 |g day:16 |g pages:e114367 |
| 856 | 4 | 0 | |u http://dx.doi.org/10.1371/journal.pone.0114367 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 9 |j 2014 |e 12 |b 16 |h e114367 | ||